Operational framework for monitoring social determinants of health equity

📜🔗LINK to the source

1. ANALYTICAL SUMMARY

Context and issues — measuring what really produces health

Health inequalities, defined as avoidable systematic gaps between social groups, persist everywhere despite commitments made since the WHO Commission on the Social Determinants of Health (2005). The document reminds us that social determinants — the conditions in which we are born, grow, live, work, and age, and access to power, money, and resources — weigh more on equity than the healthcare system alone (p. xii, 2). However, political action remains slow, particularly on structural determinants (unjust economic systems, discrimination, racism, gender inequalities). The identified lock is the lack of monitoring: most countries lack data, information systems, and capacities to measure the determinants and assess the impact of policies (p. xii, 18–22). In 2016, only 20 national systems in 15 countries provided routine monitoring of at least one aspect of the determinants (p. xii).

Operational contributions — a menu of indicators and a roadmap

In response to resolution WHA74.16, the WHO proposes a two-component framework: (a) a universal and adaptable menu of indicators covering six areas of determinants and the corresponding actions/policies (Table 3, p. 45); (b) implementation areas and actions organised into three areas — national technical monitoring, use of data for decision-making, regional and global harmonisation (Table 4, p. 83). The common thread is the disaggregation of data by equity dimensions (age, gender, disability, migration status, income, etc.) to identify groups in marginalised situations. The framework emphasises intersectoral action (Health in All Policies), data governance, capacity building, and community engagement as conditions for transforming measurement into action (p. 66–79).

2. KEY POINTS OF THE DOCUMENT

1. Six areas of social determinants structure the entire framework (p. 37–38): (a) economic security and equality, (b) education, (c) physical environment, (d) social and community context, (e) health behaviours, (f) healthcare. The choice to include “behaviours” and “care” — not always considered social determinants — is taken and justified by the 2008 Commission framework.
2. A ready-to-select menu of indicators, based on existing international sources (Table 3, p. 45–55). For each indicator, the sub-domain, disaggregation dimension, and data source (UN/SDG databases, ILO/ILOSTAT, World Bank, etc.) are provided. The aim is not to “reinvent the wheel” but to draw from already tested and comparable indicators.
3. An explicit and reproducible method for prioritising indicators (p. 41–42). The selection criteria are precise: reliable sources (a), public data (b), national availability (c), statistically comparable units across contexts (d), data post-2015 (e), availability for at least 10 countries (f) — plus the ability to disaggregate by equity stratifiers. Each indicator is rated from 1 (low) to 3 (high).
4. The transition from “data → action” relies on governance and intersectorality (Area 2, p. 66–79). The framework details five actions: map the political landscape, strengthen political will, support multisectoral governance, bring together decision-makers to translate data into action, and promote community leadership. The honest observation is that intersectoral work "has proven difficult in practice" (p. 22).
5. Community engagement is positioned as a condition of equity, not as an option (p. 76–77). Communities are presented as co-owners and co-producers of the determinants; the document cites Indigenous Data Sovereignty and the CONNECT initiative in Laos (Box 11, p. 77) as concrete examples of participatory governance.

3. ACTION PATHWAYS FOR LOCAL ACTORS

1. Map your priority determinants before choosing indicators. Draw inspiration from Action 1 (p. 56–62) to inventory, in your territory, the data already available and the gaps, rather than starting with data collection. This is the most transferable diagnostic step at the local level.
2. Select from the menu of indicators according to the principle "from the feasible to the aspirational" (Guiding Principle 2, p. 24; Table 3, p. 45). Start with a few measurable indicators using existing data, then expand. Useful for building a realistic territorial dashboard.
3. Systematise the disaggregation of local data by equity dimensions (p. 63, xx). Without breakdowns by sex, age, socio-economic status or territory, the disparities remain invisible. A point of caution highlighted by the document itself: certain populations (homeless people, undocumented migrants, incarcerated individuals) have little or no data (p. 41) — plan for complementary qualitative approaches.
4. Base your action on an existing intersectoral framework (Area 2, Action 3, p. 67; p. 22). Link the monitoring of determinants to a Health in All Policies approach already in place (local health contract, health city workshop) rather than creating an additional silo.
5. Formalise the role of communities from the outset (Action 5, p. 76–77). Draw inspiration from the described participatory governance mechanisms (co-definition of needs, accountability frameworks including community monitoring) to go beyond mere consultation. Engage young people and adolescents, identified as a frequently overlooked lever for change (p. 77).
6. Use reporting as an advocacy tool (Action 3, p. 63–64). The framework explicitly links the production of standardised reports to the goal of informing policies: a well-communicated territorial dashboard becomes an argument for prioritising the most disadvantaged groups.

Unmet needs / adaptations: the framework is designed for the national level; the municipal or associative scale will need to transpose the logic (menu, disaggregation, governance) without waiting for heavy statistical infrastructure. It does not provide a facilitation protocol or a ready-to-use field data collection tool.

4. ADDITIONAL REFERENCES 

1. WHO — Global report on the social determinants of health equity (2025). The 'sibling' report of the current framework, the first of its kind since the 2008 Commission: it documents the extent of disparities (up to 33 years of life expectancy difference between countries) and sets the strategic direction that the operational framework translates into indicators.
   👉 https://www.who.int/fr/news/item/06-05-2025-health-inequities-are-shortening-lives-by-decades
2. Public Health France — "Health inequalities: the weight of social determinants of health" (Barometer 2024, published December 2025). The French empirical counterpart: the first national overview of inequalities by gender and socio-economic position (perceived health, mental health, tobacco, food insecurity, discrimination). Ideal for anchoring the WHO framework in French figures.
   👉 https://www.santepubliquefrance.fr/inegalites-sociales-et-territoriales-de-sante/les-inegalites-de-sante-le-poids-des-determinants-sociaux-de-sante
3. ARS Provence-Alpes-Côte d'Azur — IMPACT 2025 Guide (October 2025). Methodological tool for territorial and multisectoral action (childhood obesity) that concretely operationalises the intersectoral logic of the WHO framework at the level of communities: governance, supportive environment, first 1000 days.
   👉 https://www.paca.ars.sante.fr/guide-impact-2025-initiative-multisectorielle-pour-la-prevention-de-lobesite-et-laction

5. FREQUENTLY ASKED QUESTIONS (FAQ)

1. What type of document is it, exactly?
   It is a normative operational framework from WHO, produced in response to resolution WHA74.16 (p. xiii). It does not replace a field guide: it proposes an architecture (menu of indicators + actions) to be adapted locally (p. 24).
2. What does "monitoring the social determinants of health equity" (SDHE) mean?
   It is a form of public health surveillance focusing both on the determinants (income, education, housing…) and on the policies/interventions that act on them, with equity at the core (p. 12).
3. What are the six areas to measure?
   Economic security and equality, education, physical environment, social and community context, health behaviours, healthcare (p. 37–38). Each is broken down into sub-domains.
4. How to choose which indicators to follow when resources are limited?
   By applying selection criteria (reliable sources, public data, national availability, comparability, data ≥ 2015, coverage ≥ 10 countries) and starting "from the feasible to the aspirational" (p. 24, 42).
5. Why is the disaggregation of data so insistent?
   Because averages mask inequalities: only data broken down by group reveal who is left behind (p. xx, 63). The document warns about populations with almost no data (p. 41).
6. How do we link data and policy decision-making?
   Through five actions: mapping the political landscape, strengthening political will, supporting multisectoral governance, bringing together decision-makers, and engaging communities (p. 66–77). Intersectorality is presented as challenging but essential (p. 22).
7. What role for residents and communities?
   Central: they are co-producers of the determinants. The framework cites the sovereignty of indigenous data and the CONNECT initiative (Laos) as models of participatory and accountable governance (p. 76–77).

6. REWRITING IN PLAIN LANGUAGE

What is this document?

• It is a text from the WHO.
• The WHO is a large organisation for health worldwide.
• This text explains how to measure health inequalities.
• A health inequality is when some people are less healthy than others.
• Often, it is unfair and could be avoided.

Why are there health inequalities?

• Health does not only depend on doctors.
• It also depends on everyday life.
• For example: money, work, school, housing.
• This is called the "social determinants".

What does the document propose?

• It proposes a list of things to measure.

• This list covers 6 main topics:

  • money and work
  • school and education
  • housing and the environment
  • social life and the community
  • health habits
  • access to care
• Each country chooses what it can measure.

A very important idea:

• We need to look at the figures for each group of people.
• For example: women and men. The rich and the poor.
• Otherwise, we do not see who is in difficulty.

What should be done with these figures?

• They should be used to decide and act.
• Several services need to work together.
• Residents must participate in decisions.
• This is how we reduce inequalities.

7. CROSS-SECTIONAL ANALYSIS — VALUES OF HEALTH PRACTICES

• Literacy: partially. The framework targets decision-makers but emphasises communication and dissemination of results (Action 3, p. 63); it does not propose public tools suitable for levels of understanding.
• Empowerment: strong in terms of principles — communities positioned as co-producers and co-owners of the determinants (p. 76), but few concrete mechanisms for involving beneficiaries in the evaluation.
• Participation : present via Action 5 (community leadership, accountability frameworks including community monitoring, p. 76–77), with examples (CONNECT, Laos).
• Community health : collective dimension explicitly integrated: engagement of communities and participatory governance as conditions for equity (p. 76).
• Ethics : addressed from the perspective of data governance (ethical and sharing rules, p. xvi); the document also discusses debates on the collection of ethnic-racial data (p. 20–21).
• Human rights : explicit anchoring — reference to human rights frameworks, the United Nations Declaration on the Rights of Indigenous Peoples, and the principle of ‘leaving no one behind’ from the SDGs (p. xviii, 76).
• Intersectorality : core of the framework — multisectoral action (agriculture, education, finance, housing, transport) and Health in All Policies approach (p. 12, 22, 67).
• Partnership : formalised collaboration models (multisectoral governance, WHO/UN/agency partnerships, shared accountability, p. 67, 80).
• Combating discrimination : yes — explicit mention of structural racism, gender inequalities, ethnic minorities, persons with disabilities, and migrants as priority targets for monitoring (p. xii, 76).

8. EVALUATION OF THE RELIABILITY OF THE RESOURCE

Scientific relevance — high. Reference institutional source (WHO), based on a resolution of the World Health Assembly and a group of experts (Annex 2). The conceptual framework is based on recognised and cited models (Pega et al. 2017, Dahlgren-Whitehead 1991, Commission 2008, CDC model) and on an explicit and traceable indicator selection method (p. 41–42). Strong evidence; abundant referencing.

Operational relevance — average for the local field. The document is designed for the national and governmental level: its transposition to the municipal or associative scale requires adaptation work. It provides a grid and a menu, not a data collection protocol or a ready-to-use facilitation tool.

Caveats to note:

• The framework recognises itself its limits: intersectorality “has proven difficult in practice” (p. 22), and some marginalised populations are almost completely lacking in data (p. 41).
• Menu of indicators deliberately non-exhaustive and evolving (Principle 5, p. 24): it is not a “blueprint.”
• At the time of writing (January 2024), the associated global report was still “forthcoming”; it has since been published in May 2025 (see reference 1) — to be mobilised in addition to have the most recent data.

10. STRATEGIC HASHTAGS

#HealthPractices #SocialDeterminants #HealthEquity #HealthInequalities #HealthInAllPolicies #HealthData #CommunityHealth #Intersectorality