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  • Menu
  • Gender mainstreaming
    • What is Gender mainstreaming
      • Policy cycle
    • Institutions and structures
      • European Union
      • EU Member States
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    • Policy areas
      • Agriculture and rural development
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        • #3 Steps Forward
          • How can you make a difference?
        • Economic Benefits of Gender Equality in the EU
        • Policy cycle
      • Education
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      • Employment
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    • Toolkits
      • Gender Equality Training
        • Back to toolkit page
        • What is Gender Equality Training
        • Why invest in Gender Equality Training
        • Who should use Gender Equality Training
        • Step-by-step guide to Gender Equality Training
            • 1. Assess the needs
            • 2. Integrate initiatives to broader strategy
            • 3. Ensure sufficient resources
            • 4. Write good terms of reference
            • 5. Select a trainer
            • 6. Engage in the needs assessment
            • 7. Actively participate in the initiative
            • 8. Invite others to join in
            • 9. Monitoring framework and procedures
            • 10. Set up an evaluation framework
            • 11. Assess long-term impacts
            • 12. Give space and support others
        • Designing effective Gender Equality Training
        • Gender Equality Training in the EU
        • Good Practices on Gender Equality Training
        • More resources on Gender Equality Training
        • More on EIGE's work on Gender Equality Training
      • Gender Impact Assessment
        • Back to toolkit page
        • What is Gender Impact Assessment
        • Why use Gender Impact Assessment
        • Who should use Gender Impact Assessment
        • When to use Gender Impact Assessment
        • Guide to Gender Impact Assessment
          • Step 1: Definition of policy purpose
          • Step 2: Checking gender relevance
          • Step 3: Gender-sensitive analysis
          • Step 4: Weighing gender impact
          • Step 5: Findings and proposals for improvement
        • Following up on gender impact assessment
        • General considerations
        • Examples from the EU
            • European Commission
            • Austria
            • Belgium
            • Denmark
            • Finland
            • Sweden
            • Basque country
            • Catalonia
            • Lower Saxony
            • Swedish municipalities
      • Institutional Transformation
        • Back to toolkit page
        • What is Institutional Transformation
          • Institutional transformation and gender: Key points
          • Gender organisations
          • Types of institutions
          • Gender mainstreaming and institutional transformation
          • Dimensions of gender mainstreaming in institutions: The SPO model
        • Why focus on Institutional Transformation
          • Motivation model
        • Who the guide is for
        • Guide to Institutional Transformation
            • 1. Creating accountability and strengthening commitment
            • 2. Allocating resources
            • 3. Conducting an organisational analysis
            • 4. Developing a strategy and work plan
            • 5. Establishing a support structure
            • 6. Setting gender equality objectives
            • 7. Communicating gender mainstreaming
            • 8. Introducing gender mainstreaming
            • 9. Developing gender equality competence
            • 10. Establishing a gender information management system
            • 11. Launching gender equality action plans
            • 12. Promotional equal opportunities
            • 13. Monitoring and steering organisational change
        • Dealing with resistance
          • Discourse level
          • Individual level
          • Organisational level
          • Statements and reactions
        • Checklist: Key questions for change
        • Examples from the EU
            • 1. Strengthening accountability
            • 2. Allocating resources
            • 3. Organisational analysis
            • 4. Developing a strategy and working plan
            • 5. Establishing a support structure
            • 6. Setting objectives
            • 7. Communicating gender mainstreaming
            • 8. Introducing methods and tools
            • 9. Developing Competence
            • 10. Establishing a gender information management system
            • 11. Launching action plans
            • 12. Promoting within an organisation
            • 13. Monitoring and evaluating
      • Gender Equality in Academia and Research
        • Back to toolkit page
        • WHAT
          • What is a Gender Equality Plan?
          • Terms and definitions
          • Which stakeholders need to be engaged into a GEP
          • About the Gear Tool
        • WHY
          • Horizon Europe GEP criterion
          • Gender Equality in Research and Innovation
          • Why change must be structural
          • Rationale for gender equality change in research and innovation
          • GEAR step-by-step guide for research organisations, universities and public bodies
            • Step 1: Getting started
            • Step 2: Analysing and assessing the state-of-play in the institution
            • Step 3: Setting up a Gender Equality Plan
            • Step 4: Implementing a Gender Equality Plan
            • Step 5: Monitoring progress and evaluating a Gender Equality Plan
            • Step 6: What comes after the Gender Equality Plan?
          • GEAR step-by-step guide for research funding bodies
            • Step 1: Getting started
            • Step 2: Analysing and assessing the state-of-play in the institution
            • Step 3: Setting up a Gender Equality Plan
            • Step 4: Implementing a Gender Equality Plan
            • Step 5: Monitoring progress and evaluating a Gender Equality Plan
            • Step 6: What comes after the Gender Equality Plan?
          • GEAR action toolbox
            • Work-life balance and organisational culture
            • Gender balance in leadership and decision making
            • Gender equality in recruitment and career progression
            • Integration of the sex/gender dimension into research and teaching content
            • Measures against gender-based violence including sexual harassment
            • Measures mitigating the effect of COVID-19
            • Data collection and monitoring
            • Training: awareness-raising and capacity building
            • GEP development and implementation
            • Gender-sensitive research funding procedures
          • Success factors for GEP development and implementation
          • Challenges & resistance
        • WHERE
          • Austria
          • Belgium
          • Bulgaria
          • Croatia
          • Cyprus
          • Czechia
          • Denmark
          • Estonia
          • Finland
          • France
          • Germany
          • Greece
          • Hungary
          • Ireland
          • Italy
          • Latvia
          • Lithuania
          • Luxembourg
          • Malta
          • Netherlands
          • Poland
          • Portugal
          • Romania
          • Slovakia
          • Slovenia
          • Spain
          • Sweden
          • United Kingdom
      • Gender-sensitive Parliaments
        • Back to toolkit page
        • What is the tool for?
        • Who is the tool for?
        • How to use the tool
        • Self-assessment, scoring and interpretation of parliament gender-sensitivity
          • AREA 1 – Women and men have equal opportunities to ENTER the parliament
            • Domain 1 – Electoral system and gender quotas
            • Domain 2 - Political party/group procedures
            • Domain 3 – Recruitment of parliamentary employees
          • AREA 2 – Women and men have equal opportunities to INFLUENCE the parliament’s working procedures
            • Domain 1 – Parliamentarians’ presence and capacity in a parliament
            • Domain 2 – Structure and organisation
            • Domain 3 – Staff organisation and procedures
          • AREA 3 – Women’s interests and concerns have adequate SPACE on parliamentary agenda
            • Domain 1 – Gender mainstreaming structures
            • Domain 2 – Gender mainstreaming tools in parliamentary work
            • Domain 3 – Gender mainstreaming tools for staff
          • AREA 4 – The parliament produces gender-sensitive LEGISLATION
            • Domain 1 – Gender equality laws and policies
            • Domain 2 – Gender mainstreaming in laws
            • Domain 3 – Oversight of gender equality
          • AREA 5 – The parliament complies with its SYMBOLIC function
            • Domain 1 – Symbolic meanings of spaces
            • Domain 2 – Gender equality in external communication and representation
        • How gender-sensitive are parliaments in the EU?
        • Examples of gender-sensitive practices in parliaments
          • Women and men have equal opportunities to ENTER the parliament
          • Women and men have equal opportunities to INFLUENCE the parliament’s working procedures
          • Women’s interests and concerns have adequate SPACE on parliamentary agenda
          • The parliament produces gender-sensitive LEGISLATION
          • The parliament complies with its SYMBOLIC function
        • Glossary of terms
        • References and resources
      • Gender Budgeting
        • Back to toolkit page
        • À qui s’adresse cette boîte à outils?
        • Pourquoi la budgétisation sensible au genre des Fonds de l’UE relevant de la gestion partagée est-elle importante?
          • Trois raisons pour lesquelles la budgétisation sensible au genre est essentielle dans les Fonds de l’UE
        • Qu’est-ce que la budgétisation sensible au genre?
          • Présentation de la budgétisation sensible au genre
          • En quoi la budgétisation sensible au genre est-elle liée aux réalités vécues par les femmes et les hommes?
          • En quoi consiste la budgétisation sensible au genre dans la pratique
          • Budgétisation sensible au genre des Fonds de l’UE
            • La budgétisation sensible au genre comme moyen de se conformer aux exigences juridiques de l’UE
            • La budgétisation sensible au genre comme moyen de promouvoir la responsabilité et la transparence dans la planification et la gestion des finances publiques
            • La budgétisation sensible au genre comme moyen d’accroître la participation des femmes et des hommes aux processus budgétaires
            • La budgétisation sensible au genre comme moyen de favoriser l’égalité de genre pour les femmes et les hommes dans toute leur diversité
        • Comment pouvons-nous appliquer la budgétisation sensible au genre des Fonds de l’UE relevant de la gestion partagée? Outils pratiques et exemples des États membres
          • Outil 1 — Relier les Fonds de l’UE au cadre réglementaire de l’UE en matière d’égalité de genre
            • Base législative et réglementaire des politiques de l’UE en matière d’égalité de genre
            • Exigences concrètes pour la prise en considération de l’égalité de genre dans les Fonds de l’UE
            • Conditions favorisantes des Fonds de l’UE
            • Autres ressources
          • Outil 2 — Analyser les inégalités de genre et les besoins liés au genre aux niveaux national et infranational
            • Étapes concernant l’évaluation et l’analyse des inégalités de genre et les besoins liés au genre
            • Étape 1 — Recueillir des informations et des données ventilées sur le groupe cible
            • Étape 2 — Recenser les inégalités de genre existantes et leurs causes sous-jacentes
            • Étape 3 — Consulter directement les groupes cibles
            • Étape 4 — Tirer des conclusions
            • Autres ressources
          • Outil 3 — Mettre en œuvre l’égalité de genre dans les objectifs politiques (dans les accords de partenariat) et les objectifs/mesures spécifiques (dans les programmes opérationnels)
            • Étapes de la mise en œuvre opérationnelle de l’égalité de genre dans les accords de partenariat et les programmes opérationnels
            • Orientations générales sur la mise en œuvre de l’égalité de genre lors de l’élaboration d’objectifs stratégiques, d’objectifs spécifiques et de mesures
            • Liste de contrôle pour la mise en pratique du principe horizontal de l’égalité de genre dans les accords de partenariat
            • Liste de contrôle pour la mise en pratique du principe horizontal de l’égalité de genre dans les programmes opérationnels
            • Exemples d’intégration de l’égalité de genre en tant que principe horizontal dans les objectifs stratégiques et les objectifs spécifiques
          • Outil 4 — Coordination et complémentarités entre les Fonds de l’UE pour favoriser l’équilibre entre vie professionnelle et vie privée
            • Étapes à suivre pour améliorer la coordination et la complémentarité entre les Fonds
            • Étape 1 — Alignement sur les objectifs de l’engagement stratégique pour l’égalité de genre
            • Étapes 2 et 3 — Recenser et élaborer d’éventuelles interventions en faveur de l’équilibre entre vie professionnelle et vie privée
            • Étape 4 — Suivi à l’aide d’indicateurs au sein des systèmes de suivi et d’évaluation
            • Étude de cas fictive 1 — Concilier travail rémunéré et garde d’enfants
            • Étude de cas fictive 2 — Concilier travail posté et garde d’enfants
            • Étude de cas fictive 3 — Équilibrer les soins pour soi-même et pour les autres
            • Étude de cas fictive 4 — Concilier la garde des enfants et des personnes âgées avec le travail posté
            • Autres ressources
          • Outil 5 — Définir les partenariats et la gouvernance à plusieurs niveaux — Identifier les partenaires pertinents, le rôle des experts sur les questions de genre et la composition des comités de suivi
            • Étapes pour la définition des partenariats et de la gouvernance à plusieurs niveaux
            • Autres ressources
          • Outil 6 — Élaborer des indicateurs quantitatifs et qualitatifs pour faire progresser l’égalité de genre
            • Étapes pour l’élaboration d’indicateurs quantitatifs et qualitatifs
            • FEDER et Fonds de cohésion (mêmes indicateurs communs)
            • Fonds social européen plus
            • Fonds européen pour les affaires maritimes et la pêche
            • Autres ressources
          • Outil 7 — Définir des critères de sélection de projets sensibles au genre
            • Étapes à suivre pour favoriser l’élaboration et la sélection de projets sensibles à la dimension de genre
            • Liste de contrôle pour guider la préparation des appels à propositions de projets
            • Liste de contrôle pour les critères de sélection des projets
            • Outil complémentaire 7.a — Conventions tenant compte de la dimension de genre avec les personnes responsables de l’exécution des projets
          • Outil 8 — Contrôler les allocations de ressources en faveur de l’égalité de genre dans les Fonds de l’UE
            • Ensuring gender relevance in EU Funds
            • The tracking system
            • Steps for tracking resource allocations on gender equality
            • Step 1: Ex ante approach
            • Step 2: Ex post approach
            • Examples of Step 2a
            • Annex 1: Ex ante assignment of intervention fields to the gender equality dimension codes
            • Annex 2: The EU’s gender equality legal and policy framework
          • Outil 9 — Intégrer l’égalité de genre dans la conception des projets
            • Étapes pour intégrer l’égalité de genre dans la conception des projets
            • Étape 1 — Alignement sur les objectifs et indicateurs en matière de genre des accords de partenariat et des programmes opérationnels
            • Étape 2 — Élaboration et demande de projet
            • Étape 3 — Mise en œuvre du projet
            • Étape 4 — Évaluation du projet
          • Outil 10 — Intégrer une perspective de genre dans les processus de suivi et d’évaluation
            • Étapes pour intégrer une perspective de genre dans les processus de S & E
            • Autres ressources
          • Outil 11 — Rendre compte des dépenses de ressources en faveur de l’égalité de genre dans les Fonds de l’UE
            • Suivi des dépenses pour l’égalité de genre
            • Autres ressources
          • Références
          • Abréviations
          • Remerciements
      • Gender-responsive Public Procurement
        • Back to toolkit page
        • Who is this toolkit for?
          • Guiding you through the toolkit
        • What is gender-responsive public procurement?
          • How is gender-responsive public procurement linked to gender equality?
          • How is gender-responsive public procurement linked to gender budgeting?
          • Five reasons why gender-responsive public procurement
          • Why was this toolkit produced
        • Gender-responsive public procurement in practice
          • Legal framework cross-references gender equality and public procurement
          • Public procurement strategies cover GRPP
          • Gender equality action plans or strategies mention public procurement
          • Capacity-building programmes, support structures
          • Regular collaboration between gender equality bodies
          • Effective monitoring and reporting systems on the use of GRPP
          • Tool 1:Self-assessment questionnaire about the legal
          • Tool 2: Overview of the legislative, regulatory and policy frameworks
        • How to include gender aspects in tendering procedures
          • Pre-procurement stage
            • Needs assessment
            • Tool 3: Decision tree to assess the gender relevance
            • Preliminary market consultation
            • Tool 4: Guiding questions for needs assessment
            • Defining the subject matter of the contract
            • Choosing the procedure
            • Tool 5: Decision tree for the choice of procedure for GRPP
            • Dividing the contract into lots
            • Tool 6: Guiding questions for dividing contracts into lots for GRPP
            • Light regime for social, health and other specific services
            • Tool 7: Guiding questions for applying GRPP under the light regime
            • Tool 8: Guiding questions for applying GRPP under the light regime
            • Reserved contracts
            • Preparing tender documents
          • Procurement stage
            • Exclusion grounds
            • Selection criteria
            • Technical specifications
            • Tool 9: Decision tree for setting GRPP selection criteria
            • Award criteria
            • Tool 10: Formulating GRPP award criteria
            • Tool 11: Bidders’ concepts to ensure the integration of gender aspects
            • Use of labels/certifications
          • Post-procurement stage
            • Tool 12: Checklist for including GRPP contract performance conditions
            • Subcontracting
            • Monitoring
            • Reporting
            • Tool 13: Template for a GRPP monitoring and reporting plan
        • References
        • Additional resources
    • Methods and tools
      • Browse
      • About EIGE's methods and tools
      • Gender analysis
      • Gender audit
      • Gender awareness-raising
      • Gender budgeting
      • Gender impact assessment
      • Gender equality training
      • Gender-responsive evaluation
      • Gender statistics and indicators
      • Gender monitoring
      • Gender planning
      • Gender-responsive public procurement
      • Gender stakeholder consultation
      • Sex-disaggregated data
      • Institutional transformation
      • Examples of methods and tools
      • Resources
    • Good practices
      • Browse
      • About good practices
      • EIGE’s approach to good practices
    • Country specific information
      • Belgium
        • Overview
      • Bulgaria
        • Overview
      • Czechia
        • Overview
      • Denmark
        • Overview
      • Germany
        • Overview
      • Estonia
        • Overview
      • Ireland
        • Overview
      • Greece
        • Overview
      • Spain
        • Overview
      • France
        • Overview
      • Croatia
        • Overview
      • Italy
        • Overview
      • Cyprus
        • Overview
      • Latvia
        • Overview
      • Lithuania
        • Overview
      • Luxembourg
        • Overview
      • Hungary
        • Overview
      • Malta
        • Overview
      • Netherlands
        • Overview
      • Austria
        • Overview
      • Poland
        • Overview
      • Portugal
        • Overview
      • Romania
        • Overview
      • Slovenia
        • Overview
      • Slovakia
        • Overview
      • Finland
        • Overview
      • Sweden
        • Overview
    • EIGE’s publications on Gender mainstreaming
    • Concepts and definitions
    • Power Up conference 2019
  • Gender-based violence
    • What is gender-based violence?
    • Forms of violence
    • EIGE’s work on gender-based violence
    • Administrative data collection
      • Data collection on violence against women
        • The need to improve data collection
        • Advancing administrative data collection on Intimate partner violence and gender-related killings of women
        • Improving police and justice data on intimate partner violence against women in the European Union
        • Developing EU-wide terminology and indicators for data collection on violence against women
        • Mapping the current status and potential of administrative data sources on gender-based violence in the EU
      • About the tool
      • Administrative data sources
      • Advanced search
    • Analysis of EU directives from a gendered perspective
    • Costs of gender-based violence
    • Cyber violence against women
    • Femicide
    • Intimate partner violence and witness intervention
    • Female genital mutilation
      • Risk estimations
    • Risk assessment and risk management by police
      • Risk assessment principles and steps
          • Principle 1: Prioritising victim safety
          • Principle 2: Adopting a victim-centred approach
          • Principle 3: Taking a gender-specific approach
          • Principle 4: Adopting an intersectional approach
          • Principle 5: Considering children’s experiences
          • Step 1: Define the purpose and objectives of police risk assessment
          • Step 2: Identify the most appropriate approach to police risk assessment
          • Step 3: Identify the most relevant risk factors for police risk assessment
          • Step 4: Implement systematic police training and capacity development
          • Step 5: Embed police risk assessment in a multiagency framework
          • Step 6: Develop procedures for information management and confidentiality
          • Step 7: Monitor and evaluate risk assessment practices and outcomes
      • Risk management principles and recommendations
        • Principle 1. Adopting a gender-specific approach
        • Principle 2. Introducing an individualised approach to risk management
        • Principle 3. Establishing an evidence-based approach
        • Principle 4. Underpinning the processes with an outcome-focused approach
        • Principle 5. Delivering a coordinated, multiagency response
      • Legal and policy framework
      • Tools and approaches
      • Areas for improvement
      • References
    • Good practices in EU Member States
    • Methods and tools in EU Member States
    • White Ribbon Campaign
      • About the White Ribbon Campaign
      • White Ribbon Ambassadors
    • Regulatory and legal framework
      • International regulations
      • EU regulations
      • Strategic framework on violence against women 2015-2018
      • Legal Definitions in the EU Member States
    • Literature and legislation
    • EIGE's publications on gender-based violence
    • Videos
  • Gender Equality Index
    • View countries
    • Compare countries
    • Thematic Focus
    • About Index
    • Publications
    • Forum 2022
    • Index Game
    • Videos
  • Gender Statistics Database
    • Browse Gender Statistics
    • Data talks
    • FAQs
    • About
    • Search
  • Beijing Platform for Action
  • Countries
    • Belgium
    • Bulgaria
    • Czechia
    • Denmark
    • Germany
    • Estonia
    • Ireland
    • Greece
    • Spain
    • France
    • Croatia
    • Italy
    • Cyprus
    • Latvia
    • Lithuania
    • Luxembourg
    • Hungary
    • Malta
    • Netherlands
    • Austria
    • Poland
    • Portugal
    • Romania
    • Slovenia
    • Slovakia
    • Finland
    • Sweden
  • Topics
    • Health
      • Covid-19 and gender equality
    • Violence
      • Orange the World
    • Agriculture and rural development
    • Culture
    • Digital agenda
    • Economic and financial affairs
    • Education
    • Employment
    • Energy
    • Entrepreneurship
    • Environment and climate change
    • Justice
    • Maritime affairs and fisheries
    • Migration
    • Poverty
    • Regional policy
    • Research
    • Sport
    • Tourism
    • Transport
    • Youth
  • About EIGE
    • EIGE's organisation
      • Management board
      • Experts' forum
      • EIGE staff
    • Our work
      • Stakeholders
      • EU candidate countries and potential candidates
        • About the IPA project
        • Examples from the region
          • Browse
          • About the examples
        • Gender equality indices in the region
        • Gender statistics in the region
        • Measuring violence against women in the region
      • Justice and Home Affairs (JHA) agencies
    • Projects
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    • Planning and reporting documents
    • Documents registry
      • Request for access to EIGE documents
    • Contact us
    • Director’s speeches
  • Recruitment
    • Open vacancies
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    • About Recruitment
    • FAQs
    • Selection procedure appeals
    • Relevant forms and information
    • Welcome guide
  • Procurement
    • Open procedures
    • Closed procedures
    • About Procurement
    • External Experts' Database
  • News
  • Events
    • Upcoming events
    • Past events
    • Gender Equality Forum 2022
      • About
      • Agenda
      • Videos
      • Speakers
      • Practical information
  • EIGE’s publications
    • Gender-sensitive Communication
      • Overview of the toolkit
      • First steps towards more inclusive language
        • Terms you need to know
        • Why should I ever mention gender?
        • Choosing whether to mention gender
        • Key principles for inclusive language use
      • Challenges
        • Stereotypes
          • Avoid gendered pronouns (he or she) when the person’s gender is unknown
          • Avoid irrelevant information about gender
          • Avoid gendered stereotypes as descriptive terms
          • Gendering in-animate objects
          • Using different adjectives for women and men
          • Avoid using stereotypical images
        • Invisibility and omission
          • Do not use ‘man’ as the neutral term
          • Do not use ‘he’ to refer to unknown people
          • Do not use gender-biased nouns to refer to groups of people
          • Take care with ‘false generics’
          • Greetings and other forms of inclusive communication
        • Subordination and trivialisation
          • Naming conventions
          • Patronising language
      • Test your knowledge
        • Quiz 1: Policy document
        • Quiz 2: Job description
        • Quiz 3: Legal text
      • Practical tools
        • Solutions for how to use gender-sensitive language
        • Pronouns
        • Invisibility or omission
        • Common gendered nouns
        • Adjectives
        • Phrases
      • Policy context
    • Work-life balance in the ICT sector
      • Back to toolkit page
      • EU policies on work-life balance
      • Women in the ICT sector
      • The argument for work-life balance measures
        • Challenges
      • Step-by-step approach to building a compelling business case
        • Step 1: Identify national work-life balance initiatives and partners
        • Step 2: Identify potential resistance and find solutions
        • Step 3: Maximise buy-in from stakeholders
        • Step 4: Design a solid implementation plan
        • Step 5: Carefully measure progress
        • Step 6: Highlight benefits and celebrate early wins
      • Toolbox for planning work-life balance measures in ICT companies
      • Work–life balance checklist
    • Gender Equality Index 2019. Work-life balance
      • Back to toolkit page
      • Foreword
      • Highlights
      • Introduction
        • Still far from the finish line
        • Snail’s-pace progress on gender equality in the EU continues
        • More women in decision-making drives progress
        • Convergence on gender equality in the EU
      • 2. Domain of work
        • Gender equality inching slowly forward in a fast-changing world of work
        • Women dominate part-time employment, consigning them to jobs with poorer career progression
        • Motherhood, low education and migration are particular barriers to work for women
      • 3. Domain of money
        • Patchy progress on gender-equal access to financial and economic resources
        • Paying the price for motherhood
        • Lifetime pay inequalities fall on older women
      • 4. Domain of knowledge
        • Gender equality in education standing still even as women graduates outnumber men graduates
        • Both women and men limit their study fields
        • Adult learning stalls most when reskilling needs are greatest
      • 5. Domain of time
        • Enduring burden of care perpetuates inequalities for women
        • Uneven impact of family life on women and men
      • 6. Domain of power
        • More women in decision-making but still a long way to go
        • Democracy undermined by absence of gender parity in politics
        • More gender equality on corporate boards — but only in a few Member States
        • Limited opportunities for women to influence social and cultural decision-making
      • 7. Domain of health
        • Behavioural change in health is key to tackling gender inequalities
        • Women live longer but in poorer health
        • Lone parents and people with disabilities are still without the health support they need
      • 8. Domain of violence
        • Data gaps mask the true scale of gender-based violence in the EU
        • Backlash against gender equality undermines legal efforts to end violence against women
        • Conceptual framework
        • Parental-leave policies
        • Informal care of older people, people with disabilities and long-term care services
        • Informal care of children and childcare services
        • Transport and public infrastructure
        • Flexible working arrangements
        • Lifelong learning
      • 10. Conclusions
    • Sexism at work
      • Background
        • What is sexism?
        • What is the impact of sexism at work?
        • Where does sexism come from?
        • Sexism at work
        • What happens when you violate sexist expectations?
        • What is sexual harassment?
        • Violating sexist expectations can lead to sexual harassment
        • Under-reporting of sexual harassment
      • Part 2. Test yourself
        • How can I combat sexism? A ten-step programme for managers
        • How can all staff create cultural change
        • How can I report a problem?
        • Eradicating sexism to change the face of the EU
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  • EIGE-2021 Gender Equality Index 2021 Report: Health
  • Thematic focus
  • Health dimensions in focus

EIGE-2021 Gender Equality Index 2021 Report: Health

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  • Back to toolkit page
  • Foreword
  • Highlights
  • Thematic focus: health
  • Introduction
  • Gender equality in the European Union at a glance
    • Progress is an uphill struggle
    • Decision-making driving change, segregation blocking it
    • Small drop in disparities in gender equality across the European Union, but COVID-19 could change that
  • Domain of work
    • Fragile pace of change since 2010
    • Unpaid childcare still hindering women from working full time
    • Women bear the brunt of the impact of COVID-19 on jobs
  • Domain of money
    • Earnings and income equality still out of reach
    • Single women, particularly in old age, are at highest risk of poverty
    • COVID-19 exacerbates women’s economic vulnerability and hardship
  • Domain of knowledge
    • Snail-pace progress comes to a halt
    • Hard-to-reach groups would benefit most from adult learning
    • School closures due to COVID-19 reinforce and add new inequalities in education and unpaid work
  • Domain of time
    • Gender inequalities in use of time live on
    • Gender differences on household chores entrenched from childhood
    • Unpaid care workloads and social isolation affect well-being
  • Domain of power
    • Decision-making gains drive gender equality progress
    • Legislative action makes a difference
    • Gender-balanced decision-making is imperative post pandemic
  • Domain of health
    • Enduring health inequalities stall progress
    • COVID-19 lowers life expectancy for men and birth rates
  • Domain of violence
    • A dearth of evidence hampers true assessment of violence against women
    • Inequalities heighten the risk of violence against women
    • Gender-based violence amplified by the COVID-19 pandemic
  • Thematic focus
    • Gender inequalities in health in the European Union
      • Gender differences in health reflect lifelong inequalities
        • Men are more likely to perceive their health as good
        • Women are more likely to have health limitations over their lifetime
        • The main causes of premature mortality are gendered
        • Women report poorer mental well-being than men
        • Gender differences in mental disorders begin early in life
        • Gender-based violence
        • Work stressors
        • Traditional norms of masculinity
        • Body image drives poor mental health, especially in youth
      • Health and risk behaviours are clearly gendered
      • Gender and intersecting inequalities in access to health services
    • Health dimensions in focus
      • Rights, access and outcomes – sexual and reproductive health in focus
      • The COVID-19 pandemic aggravates and brings forth health inequalities
  • Conclusions
  • References
  • Abbreviations

The COVID-19 pandemic aggravates and brings forth health inequalities

In the early summer of 2021, most EU countries were simultaneously battling a third wave of COVID-19 and aggressively rolling out large-scale vaccination programmes. Various levels of restrictions were in place and progressively being lifted. At the time of writing, the EU had reported more than 33 million cases and at least 730 000 direct COVID-19-related deaths[1]. France, Germany, Italy, Spain and Poland have had the highest number of cases – from nearly 3 million in Poland to more than 5.7 million in France[2]. If, overall, about 7 % of the EU population has been infected, the highest shares of cases by population are in less populated countries – Czechia, Slovakia, Slovenia and Luxembourg – with rates ranging from 11 % in Luxembourg to 16 % in Czechia[3]. The shock of such a staggering loss of life in little more than a year and the ramifications of many people suffering long-term effects from COVID-19 will be felt for years to come.

The pandemic’s impact has been very unequal across the EU and over time. Western and southern European Member States were more affected than central European countries during the first wave in spring 2020. In contrast, the second and third pandemic waves have seen central and eastern European countries such as the Baltic states, Czechia, Poland and Romania more affected (OECD/European Union, 2020).

The pandemic has impacted different groups of people differently, and to different degrees, depending on a varitey of factors including the level of exposure to the virus and prior health status. many authors, such as Bambra et al. (2020b), have pointed out, differences in COVID-19 infection rates and mortality have highlighted pre-existing socioeconomic inequalities and the unequal burden of chronic disease across the population. Some authors have described the current situation as a ‘syndemic’ – in which the interaction of a pandemic and a NCD, each exacerbating the effect of the other, against the backdrop of significant social and economic disparity, has led to adverse outcomes for large segments of the population (Bambra et al., 2020b; Horton, 2020).

This section presents data gathered during the pandemic on mortality, morbidity, and vaccine uptake and hesitancy. Analysis is also provided on three specific gendered impacts of the pandemic on health: poor mental health, a rise in gender-based violence and the provision of SRH services in a crisis.

COVID-19 deadlier for men, ‘long COVID’ more likely for women

There are considerable variations in how data is provided across countries. For example, the number of people tested differs greatly between countries. Some countries test individuals more than once and provide data on the number of tests, some countries provide data on the number of individuals tested, and other countries test only people who are severely ill or hospitalised (Rozenberg et al., 2020). In addition, data on testing, prevalence and mortality is not always separated by sex, with evidence showing no progress, or even a decline, in the number of countries reporting sex-disaggregated data over time[4]. According to the Global Health 50/50 initiative, which tracks sex-disaggregated data on COVID-19 from 119 countries, the most frequently reported data relates to confirmed cases (68 % of countries) and deaths (55 % of countries) (Global Health 50/50, 2020).

Early in the pandemic, women were more likely to get tested than men, as priority was given to healthcare and residential care workers – both groups mostly composed of women. At the time of writing, data on COVID-19 cases disaggregated by sex and age is unavailable for all Member States, hindering a comprehensive gender analysis of the pandemic’s toll.

Men are more likely to have severe outcomes

Early in the pandemic, overall infection rates appeared to be similar among women and men across EU countries (Rozenberg et al., 2020). Likewise, at the time of writing, women accounted for just over half of all cases in EU countries for which data is available (52 %) (Figure 42). In only three Member States (Greece, Malta and Finland) were COVID-19 rates higher among men.

When age is taken to account, large gender differences are revealed in the number of cases. A study of 10 European countries, including seven EU Member States[5], found that, among those of working age (i.e. up until about the age of 60), infections in women far outnumber those among men; at older ages, infection is more common in men. The highest rates of infection among men are among those aged between 70 and 79 years. Higher rates of infection among women have been linked to their presence in caring professions, especially healthcare (Tomáš Sobotka et al., 2020). This is consistent with reports that poor working conditions, including a lack of appropriate occupational health and safety measures and precarious employment, contribute to high infection levels in women-dominated frontline sectors (OECD, 2020b; Pelling, 2021; Shallcross et al., 2021).

Figure 42. Cases of COVID-19 in the EU by sex and Member State (%, June 2021)
Source: The Sex, Gender and COVID-19 Project, Global Health 50/50, the African Population and Health Research Center and the International Center for Research on Women. EU: authors’ elaboration (BG, CY, HR, MT data was not available). Updated on 21 June 2021. Data extracted on 25 June 2021.

Evidence shows that men are more likely than women to become severely ill or die from COVID-19 complications[6], with gender differences often quite large (Parra-Bracamonte et al., 2020; Rozenberg et al., 2020). In spring 2020, the mortality rate related to COVID-19 infections was significantly higher among European men than among European women (Pérez-López et al., 2020). The rates of all-cause mortality within 30 days of COVID-19 diagnosis and of intensive care unit admission were also higher among men (Kragholm et al., 2020).

Across the world, the Global Health 50/50 data for April 2021 shows clear gender differences in health outcomes. Although women are more likely to be tested – women account for 57 % of COVID-19 tests overall – women and men are similarly affected. Of confirmed cases, women accounted for 51 % and men for 49 % globally[7]. However, men are more likely to be hospitalised and to be admitted to an intensive care unit, accounting for 53 % of hospitalised patients and 64 % of those requiring intensive care.

Data from the ECDC for 10 EU Member States reflects similar trends, that is that men are at higher risks of severe disease (as measured by the need to hospitalise) and death from COVID-19, with gender differences increasing with age (Figure 43). Overall, 8 % of women and 10 % of men infected with COVID-19 were hospitalised as a result; however, among those aged 70–79 years who contracted COVID-19, 24 % of women and 33 % of men were hospitalised. For those aged 80 years or older, the rate of hospitalisation reached 31 % for women and 45 % for men.

Figure 43. Hospitalisation rates by age and sex out of all cases until week 23, 2021 (%, 10 EU Member States)
Source: ECDC, data for 10 EU Member States (CZ, DE, IT, CY, LU, MT, AT, PL, SK, FI and SE). Data extracted on 17 June 2021.

Similarly, data on fatality from COVID-19 shows that, in the 10 EU Member States reporting data disaggregated by age and sex, about 2 % of women and girls who tested positive for COVID-19 died from the disease, compared with 3 % of boys and men. Disaggregating by age group shows that overall fatality rates, as well as gender differences, are considerably higher among patients aged 70–79 years (6 % of women and 12 % of men) and among patients aged 80 years and older (17 % of women and 28 % of men dying) (Figure 44).

Figure 44. Fatality rates by age and sex out of all cases until week 23, 2021 (%, 10 EU Member States)
Source: ECDC, data for 10 EU Member States (CZ, DE, IT, CY, LU, MT, AT, PL, SK, FI and SE). Data extracted on 17 June 2021.

Overall in the EU, men account for 55 % of COVID-19 deaths. Their increased risk of dying is reflected in almost all EU countries for which data is available, with the exception of Lithuania and Slovenia (Figure 45).

Figure 45. Deaths of COVID-19 in the EU, by sex and Member State (%, April 2021)
Source: The Sex, Gender and COVID-19 Project, Global Health 50/50, the African Population and Health Research Center and the International Center for Research on Women. EU: authors’ elaboration (BG, CY, HR, MT data was not available). Updated on 21 June 2021. Data extracted on 25 June 2021.

Figure 44 presents for each group the case fatality rate, that is the number of deaths divided by the number of COVID-19 cases confirmed by testing. It indicates the severity of infection among different population groups. However, it can be misleading, as values for both the number of cases and the number of deaths are likely to be underestimated, for example because of insufficient testing. It has been recommended that fatality rates (Figure 44) and data on COVID-19 deaths (Figure 45) be read in conjunction with excess mortality to best capture the toll (Hantrais, 2021; Islam et al., 2021).

In the EU, men’s mortality in 2020/2021 was, on average, 17 % higher than in an average week in previous years, and 14 % higher for women (Figure 46). The excess mortality among men in 2020/2021 was highest in Czechia, Poland and Slovakia, at 30 %, 26 % and 25 %, respectively. The same three countries accounted for the highest excess mortality among women in the EU: 22 %, 22% and 23 %, respectively (Figure 46).

These findings confirms WHO data showing that analyses of numbers of registered COVID-19 deaths underestimate the full toll of the pandemic[8]. A similar analysis of 29 high-income countries concluded that estimated excess mortality substantially exceeded the number of reported deaths from COVID-19 in many countries. The highest excess death rates (per 100 000) for men were in Hungary, Italy, Lithuania, Poland and Spain; the highest rates for women were in Belgium, Hungary, Lithuania, Slovenia and Spain (Islam et al., 2021).

The COVID-19 pandemic has been particularly devastating for nursing home residents. Miralles et al. (2021) found that the highest COVID-19 mortality rates in nursing homes in six EU countries ranged from 26 % to 66 %.

Gender differences in severe COVID-19 infections and associated mortality are often attributed to comorbidities, behavioural habits and biology, including differences in immune systems (Kragholm et al., 2020; Rozenberg et al., 2020). Health behaviours such as smoking, and comorbidities such as cardiovascular disease, hypertension and diabetes, which are more common among men, are linked to increased COVID-19 mortality rates. This may explain some gender differences (Franklin et al., 2021; OECD, 2020a; Rozenberg et al., 2020). Evidence shows that women are more likely than men to follow hand hygiene practices (Baker, 2019), to adhere to social distancing and other public health recommendations, such as mask wearing (Capraro and Barcelo, 2020; Galasso et al., 2020), and to seek preventive care (Sharma et al., 2020), all of which can reduce infection rates and improve health outcomes.

Figure 46. Excess mortality in 2020–2021, compared with 2016–2019, by sex and EU Member State (%, latest data available in 2021)
NB: Excess mortality is the number of additional deaths in a week (average of 2020–2021) compared with a baseline period and is expressed as a percentage. The baseline is given by average weekly deaths in 2016–2019. The higher the value, the more additional deaths have occurred, compared with the baseline. (1) Last week in 2021 for which data is available. EU calculated using week 4, available for all Member States. *Includes only 26 Member States (IE data was not available). Data is provided in Annex 4, Table 20. Source: Authors’ calculations, based on Eurostat, Deaths by week and sex, https://ec.europa.eu/eurostat/web/products-datasets/-/demo_r_mwk_ts, extracted on 27 April 2021 (2021, provisional data).

Beyond sex and age, understanding the full impact of the pandemic requires analysis of the other groups who have been most affected.

Gender intersects with occupation, age, and migration status to increase vulnerability to infection

The COVID-19 outbreak has led to an unprecedented shift in remote working to help slow spread of the virus (ILO, 2020). However, teleworking has not been equally accessible to all workers. Key gender differences exist between those who are able to follow ‘stay at home’ orders and those whose physical presence is still required at work (EIGE, 2021c). Most governments in the EU established lists of occupations deemed ‘critical’, ‘essential’ or ‘key’ (EIGE, 2021c). In most cases, they involved roles considered necessary for national socioeconomic functioning and which could not be carried out remotely. These jobs are mostly in health and care, victim support services, law enforcement, education, agro-industry, supermarkets, pharmacies and banks.

Women are over-represented among essential workers. Eurostat data shows that women account for 88 % of personal care workers, 84 % of cleaners and helpers, 73 % of education workers and 72 % of health professionals in EU countries[9]. Fasani and Mazza (2020) estimated that migrant workers constitute 13 % of all key workers and are also over-represented in some low-skill essential jobs, for example personal care workers, drivers, transport and storage labourers, and food-processing workers. As highlighted by the International Organization for Migration, some EU countries with the highest COVID-19 numbers on 1 March 2021 also have some of the highest numbers of foreign-born workers in healthcare – Czechia, Germany, Spain, France and Italy[10].

Workers on the frontline of the pandemic response are likely to have more contact with the general public, including those who are possibly infected (OECD, 2020b; Pelling, 2021; Shallcross et al., 2021). This both increases their risk of infection and magnifies the physical and psychological pressure they experience (King et al., 2020). An index of social distancing risks identified accommodation, food services, wholesale and retail trade, and social and personal services as the sectors whose workers face the greatest risk of COVID-19 exposure as a result of regular interpersonal communication, teamwork and customer service tasks (Pouliakas and Branka, 2020). It also estimated that vulnerable workforce groups, such as women, older employees, foreigners and those with a lower level of education, are disproportionately exposed to infection risk at work. Also at increased risk are those working longer hours, on multiple sites or in micro-sized workplaces (Pouliakas and Branka, 2020).

In Germany, Italy, Spain and the United States, around 70 % of confirmed infections among health workers have occurred in women (Rozenberg et al., 2020). Globally, women accounted for an estimated 72 % of COVID-19 cases among healthcare workers, as of April 2021[11]. Preliminary EU-OSHA data reveals a stark increase in psychosocial risks in the health and social care sectors. Workforce shortages, partly due to healthcare staff being off sick or in self-isolation, have led to busy schedules, long working days, failure to take time off work and constant struggles with work–life balance (EU-OSHA, forthcoming 2022). These findings support the hypothesis of higher levels of infection and psychosocial risks among working-age women being linked to occupational risks (Tomáš Sobotka et al., 2020).

Migrant workers, especially women, are particularly vulnerable to COVID-19 infection because of their over-representation in care and domestic work and lower socioeconomic status. Structural inequalities affecting ethnic minorities and people of low socioeconomic status aggravate infection risk already experienced at work through crowded housing and long commuting times, making physical distancing and self-isolation difficult (Bhala et al., 2020).

Women are more likely to have ‘long COVID’

Emerging evidence points to significant numbers of people with COVID-19 continuing to have symptoms weeks or even months after contracting the virus (Dennis et al., 2020). The intensity of symptoms does not always mirror the severity of the initial infection. Symptoms can linger, appear for the first time or become worse (Gousseff et al., 2020). Although the prevalence and risk factors remain unclear, this syndrome, termed ‘long COVID’ or ‘post-COVID-19 syndrome’, can affect multiple organs and lead to long-lasting health issues such as diabetes (Nalbandian et al., 2021).

More than 1 year into the pandemic, estimates of the prevalence of long COVID are emerging, with some studies finding that the phenomenon could affect half of COVID-19 survivors after 14 weeks (Moreno-Pérez et al., 2021), with three quarters of COVID-19 patients showing at least one ongoing symptom after 6 months (Huang et al., 2021). Long COVID has been referred to as a major public health crisis in waiting. Figures from the UK Office for National Statistics show that 1 million people have self-symptoms 4 weeks after first being infected, and nearly 400 000 people still report symptoms after a year (Ayoubkhani, 2021). Women of working age, people with disabilities, those living in deprived areas and people working in care professions are most likely to be affected with long COVID (Ayoubkhani, 2021). Most respondents report that symptoms adversely impact their day-to-day activities.

A study in the United Kingdom found that women younger than 50 years are five times less likely than men and older women to report feeling fully recovered from infection. They are twice as likely as men of the same age to report greater fatigue, seven times more likely to be breathless and generally more likely to have increased difficulties or new disabilities. More than half of COVID-19 patients report not being fully recovered 7 months after having the first symptoms, with younger women most affected. Long-term outcomes are more frequent among individuals who were previously healthy (Sigfrid et al., 2021).

Another study in the United Kingdom has highlighted that the majority of hospitalised patients are not fully recovered after 5 months, with white middle-aged women among those experiencing more than nine persistent symptoms[12].

Patients’ associations point to a lack of recognition by health and social protection systems of some severe health limitations associated with long COVID, particularly when it concerns classifying long COVID as an occupational disease.

Vaccine uptake and hesitancy

In the EU, vaccination roll-outs organised by national governments have prioritised health professionals and age groups most at risk of severe outcomes. Studies from various countries show broad public support for such approaches (Duch et al., 2021; Persad et al., 2021), possibly acknowledging healthcare workers’ essential role in the pandemic response. High vaccination rates are considered essential to end the pandemic. So too is vaccine uptake among high-priority groups (Zintel et al., 2021).

As mentioned previously, women and men have been affected differently by the infection – if only to a degree – depending on age, comorbidities and occupational exposure. While infections among women of working age outnumber those among men, many more men have died from COVID-19.

A systematic review of gender differences in vaccination intentions conducted in January 2021 pointed to men being much more likely than women to report that they wanted a vaccination (Zintel et al., 2021). In contrast, the February/March 2021 Eurofound COVID-19 e-survey reported 29 % of male respondents as vaccine hesitant, compared with 25 % of female respondents (Eurofound, 2021c). Results by country show a significant east–west divide. Vaccination intentions were above 60 % in most western European Member States. Among eastern European countries, the rate was much lower – ranging from 59 % in Romania to 33 % in Bulgaria. These figures reveal significant vaccine hesitancy in the EU, particularly in sparsely populated areas, among the self-employed or unemployed, among those with an illness or disability and among those using social media as their main information sources or who spend a lot of time on social media (Eurofound, 2021c). A Eurobarometer survey from May 2021 confirms the east–west divide in vaccine hesitancy: the proportion of respondents who reported that they would not like to be vaccinated ranged from 23 % in Bulgaria to just 4 % in Spain and Portugal. However, the gender gap is small: overall in the EU with 9 % of women said that they would never want to receive a vaccine, while 8 % of men responded the same (European Commission, 2021e).

In terms of actual uptake in the EU, in June 2021, women were more likely than men to be fully vaccinated in all Member States for which data was available (Figure 47), accounting for 70 % in Lithuania, 59 % in Sweden and Latvia, 57 % in Belgium, Denmark and France, 56 % in Estonia, 55 % in Austria and 53 % in Slovenia.

Figure 47. Share of adults fully vaccinated against COVID-19, by sex and EU Member State (%, June 2021) 
Source: The Sex, Gender and COVID-19 Project, Global Health 50/50, the African Population and Health Research Center and the International Center for Research on Women. EU: authors’ elaboration (BG, CY, HR, MT data was not available). Updated on 21 June 2021. Data extracted on 25 June 2021.

A pandemic in hand with a mental health crisis

As the Index domain chapters show, the full effects of the COVID-19 pandemic may still be unfolding, but preliminary findings point to profoundly unequal social and economic consequences across the EU. Social isolation, fear of infection for oneself and loved ones, grief and financial distress are enormous stressors. Evidence of the impact of these consequences on mental well-being is emerging, with multiple accounts of different population groups showing increased signs of distress such as PTSD, suicidality, eating disorders and burnout. These manifestations are likely to exacerbate pre-existing levels of poor mental health and its gender-specific impacts, as discussed in Section 9.1.1. This section mainly focuses on the mental health of the general public and of healthcare professionals.

Mental well-being levels are at their lowest since pandemic outbreak

Pandemic lockdown measures have led to a rise in loneliness, recognised as a major public health concern globally. Groups at most risk before and during the pandemic are near identical – young adults, women, people with lower education or income, the unemployed, people living alone and urban residents (Bu et al., 2020).

Lockdowns and other social distancing measures are known to have had a significant impact on opportunities for physical activity, as discussed in Section 9.1.2. A study on social distancing among UK adults found that those who were physically active had better overall mental health, that is they had fewer depressive and anxiety symptoms and more positive mental well-being (Jacob et al., 2020). In Italy, total physical activity has significantly decreased during the pandemic in all age groups, especially among men. This fall in total physical activity has had a profoundly negative impact on psychological health and well-being (Maugeri et al., 2020).

A recent Eurofound survey on COVID-19 effects measured the level of mental well-being across three pandemic waves – April 2020, July 2020 and February/March 2021 (Eurofound, 2021c). Mental well-being, as measured using the WHO-5, was significantly lower than in 2016 in both women and men and across all age groups (Figure 29 and Figure 30). While the results are not directly comparable because of different methodological approaches, they do indicate a worrying deterioration of mental well-being in the EU, with large segments of the population at risk of depression (Figure 48).

On average, mental well-being across the EU-27 fell between e-survey rounds 2 and 3 in summer 2020 and spring 2021, despite having improved earlier in the pandemic. Women consistently had lower mental well-being across the three pandemic waves (Figure 48), with the lowest levels during the third wave being in women aged 18–34 years (42 points) and 35–49 years (41 points). This could be due both to social isolation and to the increased unpaid workload from school closures or movement restrictions (EIGE, 2021c). As highlighted in the domain of time, people with care responsibilities, especially lone parents, have faced acute tensions from balancing the demands of paid and unpaid work when support services and social networks have been profoundly disrupted.

Figure 48. Self-reported mental well-being index by age group in April/May 2020 (first wave), June/July 2020 (second wave) and February/March 2021 (third wave), according to the WHO-5 (points out of 100, EU)
Source: Eurofound (2020), Living, working and COVID-19 data, https://www.eurofound.europa.eu/data/covid-19, Dublin. 
NB: The data shows the mean for respondents in the EU-27 when asked. WHO-5 is WHO’s mental well-being index, with a scale of 0–100. People with a WHO-5 score of 50 or lower are considered at risk of depression.

People aged 50 years or older had better mental well-being scores in round 3 of the e-survey than younger people. However, this older group also saw a large drop in average mental well-being from summer 2020 to spring 2021.

Eurofound (2021c) highlights an overall increase in negative feelings in spring 2021, including tension, anxiety, loneliness and depression, across most social groups in the EU. Among both young men and women, there was a 13-p.p. increase. The greatest jump in loneliness was recorded among women older than 50 years – an increase of 13 p.p. compared with summer 2020 findings. For young women, the findings also reveal an increase in pre-existing levels of anxiety and depressive disorders (see Section 9.1.1.), including a spike in hospital referrals for eating disorders (Solmi et al., 2021). Almeida et al. (2020) discovered that pregnant women and women who are experiencing postpartum or miscarriage are more likely to endure mental health problems during the pandemic. Such alarming accounts of mental well-being, especially among young people, may result in more people resorting to unhealthy coping mechanisms, including substance abuse, which is already common among young men. Studies also warn that the mental health consequences of the crisis are likely to be felt for a long time, peaking only after the pandemic has subsided (Costanza et al., 2020; European Commission, 2021h; Meherali et al., 2021; Standish, 2021).

Care workers face acute distress

Evidence is mounting on the profound mental health toll of the pandemic on frontline workers, particularly in the care sector. Scholars note that health workers are already at higher risk of poor mental health in normal times. That risk increased with COVID-19 and the stress of poor pandemic preparedness of health systems (Mortier et al., 2021), trauma from having to prioritise care and seeing patients suffer or die (Greenberg et al., 2020), insufficient rest and overwork, and the fear of infection or infecting others.

Psychological symptoms include high rates of stress, depression, anxiety and insomnia. Healthcare workers and those directly engaged with affected patients report PTSD and psychological distress (Kisely et al., 2020). Systematic reviews show that frontline healthcare workers and those with pre-existing mental health issues are at higher risk of poor mental health than others (Bekele and Hajure, 2021).

In Spain, where the health system was under enormous strain during the first wave, data from a 30-day period shows that about 8 % of hospital workers – mostly men – had suicidal thoughts and behaviours (Mortier et al., 2021). Evidence from France shows that half of the staff in the social care sector, facing the death of residents, experienced post-traumatic stress (EU-OSHA, forthcoming 2022).

The high level of distress experienced by health workers increased because of staff attrition in the medical field, especially in female-dominated professions. Women make up the majority of medical staff in low-level positions, such as nurses, and occupational segregation is a key reason why women nurses leave the profession (WHO, 2019c). With significant exposure to infected patients, fewer social support systems and different coping mechanisms, women are at greater risk than men of developing PTSD as a result of the pandemic (Carmassi et al., 2020).

According to the International Council of Nurses (ICN), there was already a global shortage of nursing staff before the COVID-19 pandemic, amounting to a deficit of 6 million worldwide. The pandemic exacerbates the attrition of nursing staff. Women nurses report occupational hazards, such as ill-fitting personal protective equipment (PPE), more often than men (Regenold and Vindrola-Padros, 2021). According to EU-OSHA, ‘almost half of carers did not have adequate PPE in April 2020 and one in five care workers … considered quitting over the lack of PPE’ (European Commission, 2021h). Surveys in Sweden show that 7 % of nurses considered leaving the profession altogether (ICN Policy Brief, 2021). In Denmark, a survey among nurses working in regions and municipalities found that 88 % of respondents were considering looking for a new job, with 37 % wanting a job outside the nursing profession (DSR, 2020). The ICN argues that the pandemic-induced health crisis is worsening the gender inequalities, gender-based violence and social stigmatisation that nurses experience generally (ICN, 2021).

An epidemic of gender-based violence

Governments in 142 countries around the world imposed lockdown measures in early 2020 (Hale and Webster, 2020), which contributed to the global surge in intimate partner violence (Graham-Harrison et al., 2020; WHO, 2020b), causing a ‘shadow pandemic’ (UN Women, 2020). Forced cohabitation and economic and labour instability are stressors known to be associated with an increase in intimate partner violence (Buller et al., 2018; Buttell and Ferreira, 2020; Jarnecke and Flanagan, 2020); these factors have been exacerbated by the pandemic and this, combined with the increased psychological distress resulting from lockdown (S. K. Brooks et al., 2020; Gillespie et al., 2021), has led to an increased risk of intimate partner violence (Clemens et al., 2019; Curtis et al., 2019; Straus and Douglas, 2019).

For example, in Spain the incidence of intimate partner violence increased by 24 % during the 3 months of lockdown. This increase can be explained by the lockdown itself as well as by economic stress, health concerns, working under pressure, closure of schools and increased caring demands (Arenas-Arroyo et al., 2020). The stressors arising from the quarantine and having to live with an aggressor without options to escape can aggravate violent dynamics between members of a couple (Hsu and Henke, 2020; Hussein, 2020). As discussed in the domain of violence chapter, lockdown restrictions make it more difficult to find help arise , thereby increasing tensions and leading to a rise in violence (Hsu and Henke, 2020), including femicide (Townsend, 2020; Vagianos, 2020). It is broadly recognised that the end of the lockdown will not lead to a decline in intimate partner violence; the consequent economic instability is highly likely to aggravate already high levels of violence (Arenas-Arroyo et al., 2020).

Researchers have also noted that new forms of control have emerged as a result of the pandemic (Peterman et al., 2020). Perpetrators use the ‘fear of contracting COVID-19’ as an excuse to control a partner’s movements and prevent them from having contact with their support networks (Gearing, 2020) and from accessing services, family or friends (Smyth et al., 2021). This constant control impairs victims’ autonomy, and leads to fear and loss of control over their own lives (Weil, 2020). As a result, many cases of intimate partner violence remain unreported (UN Women and WHO, 2020).

Lockdown measures may have compounded the risks of violence against vulnerable groups such as women with disabilities, homeless women, undocumented migrants or migrants with temporary visa, families with low socioeconomic status, families with children and LGBTIQ* couples (Arenas-Arroyo et al., 2020; De Schrijver et al., 2021; Flatau et al., 2020; Pleace et al., 2021; Segrave and Pfitzner, 2020; Zero and Geary, 2020). While evidence is still scarce, lockdown measures leading to the closure of temporary shelters are likely to have exposed homeless women to greater risks of violence. Even before the pandemic, homeless shelters were not fully able to address the complex issues of women suffering gender-based violence (Bretherton and Mayock, 2021). More evidence is available on the impact of COVID-19 on sexual minorities (ILGA Europe, 2020; Phillips et al., 2020). Stressors such as the lack of social support (Song et al., 2020), specifically for those who did not share their sexual orientation/identity with their family or are part of a family that rejects their orientation/identity (ILGA Europe, 2020), may increase the likelihood of intimate partner violence. Research in Belgium shows that a third of the LGBTIQ* community experienced some form of violence at home during the first 6 weeks of the lockdown (De Schrijver et al., 2021).

The COVID-19 pandemic challenges the quality of sexual and reproductive health services

There is increasing evidence of the pandemic’s severe toll on the SRHR of women, girls and other marginalised groups.

With abortion banned in Malta and pandemic-related travel restrictions preventing women from travelling abroad for an abortion, imports of abortion pills in Malta surged (Caruana-Finkel, 2020). During the pandemic, Poland passed additional restrictive legislation, while Hungary was the only Member State to suspend surgical abortions because of pandemic pressure on public hospitals. Belgium, Germany, Latvia, Luxembourg and Slovenia introduced longer waiting periods for abortions for those who tested positive for COVID-19 or were symptomatic (Moreau et al., 2020).

Lockdown led to isolation of pregnant women, during childbirth, as fathers and birth partners were not allowed to attend. This could have long-term consequences for parent–child bonding and increase post-partum depression. Elsewhere, it has been estimated that disruptions to counselling programmes will lead to an increase in FGM of 2 million cases over the next decade (UNFPA, 2020), while school closures have generally curtailed access to SRHR information for young people.

More positively for SRH, the COVID-19 pandemic has made telemedicine more common (Porter et al., 2020). The option to receive sexual and reproductive healthcare online or through messenger apps has made healthcare more accessible and available for people with limited mobility or who are unable to leave home because of care responsibilities.

 

Footnotes

[1] ECDC COVID-19 surveillance update, https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea, accessed 7 July 2021.

[2] ECDC COVID-19 surveillance update, https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea, accessed 7 July 2021.

[3] Authors’ elaboration based on ECDC daily data, https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea, accessed as of 19 May 2021, based on 2020 data for population.

[4] The COVID-19 Sex-disaggregated Data Tracker: April update report, Global Health 50/50, https://globalhealth5050.org/wp-content/uploads/April-2021-Data-tracker-....

[5] Belgium, Czechia, Denmark, Germany, Italy, Norway, Portugal, Spain.

[6] This is in line with research on other infectious diseases, which has found that mortality from infectious sepsis is 70 % higher in men than in women. Men are also more likely than women to die from severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) (21.9 % vs 13.2 %) (Rozenberg et al., 2020).

[7] The COVID-19 Sex-disaggregated Data Tracker: April update report, Global Health 50/50, https://global-health-summit.europa.eu/rome-declaration_en.

[8] The true death toll of COVID-19: Estimating global excess mortality, https://www.who.int/data/stories/the-true-death-toll-of-covid-19-estimat....

[9] EIGE, COVID-19 web page, https://eige.europa.eu/covid-19-and-gender-equality/essential-workers. Data from EU-LFS, 2018.

[10] International Organization for Migration, Migration Data Portal ‘Migration data relevant for the COVID-19 pandemic’, https://migrationdataportal.org/themes/migration-data-relevant-covid-19-..., accessed 19 May 2021.

[11] The COVID-19 Sex-disaggregated Data Tracker: April update report, https://globalhealth5050.org/wp-content/uploads/April-2021-Data-tracker-..., Global Health 50/50.

[12] Each participant reported an average of nine persistent symptoms such as muscle pain, fatigue, impaired sleep quality and short-term memory loss.

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