Evidence map›Paper›PMID 22188351›Full record

ArticleThe Milbank quarterly2011

Best practice guidelines for monitoring socioeconomic inequalities in health status: lessons from Scotland.

John Frank, Sally Haw

Abstract read
In one paragraph

Article in The Milbank quarterly, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. The bio-psycho-social determinants of health: Reflections on the CIAR Population Health Program (1987-2003).Canadian journal of public health = Revue canadienne de sante publique · 2026
    Article
  2. Downing the Master's Tools? New Research Strategies to Address Social Determinants of Health Inequalities.International journal of social determinants of health and health services · 2023
    Article
  3. Article
  4. A Scoping Review of Approaches to Improving Quality of Data Relating to Health Inequalities.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Commentary: measuring what matters most.The Milbank quarterly · 2013
    Article
  18. Commentary: best practice for what?The Milbank quarterly · 2013
    Article
  19. Article
  20. Public health interventions to reduce inequalities: what do we know works?Canadian journal of public health = Revue canadienne de sante publique · 2012
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

John FrankScottish Collaboration for Public Health Research and Policy, c/o MRC Human Genetics Unit, Western General Hospital, Crewe Road, Edinburgh, UK. john.frank@scphrp.ac.uk
Sally Haw

Funding

Chief Scientist OfficeMedical Research Council
6 · The paper itself

Abstract

contextIn this article we present "best practice" guidelines for monitoring socioeconomic inequalities in health status in the general population, using routinely collected data.

methodsFirst, we constructed a set of critical appraisal criteria to assess the utility of routinely collected outcomes for monitoring socioeconomic inequalities in population health status, using epidemiological principles to measure health status and quantify health inequalities. We then selected as case studies three recent "cutting-edge" reports on health inequalities from the Scottish government and assessed the extent to which each of the following outcomes met our critical appraisal criteria: natality (low birth weight rate, LBW), adult mortality (all-cause, coronary heart disease [CHD], alcohol-related, cancer, and healthy life expectancy at birth), cancer incidence, and mental health and well-being.

findingsThe critical appraisal criteria we derived were "completeness and accuracy of reporting"; "reversibility and sensitivity to intervention"; "avoidance of reverse causation"; and "statistical appropriateness." Of these, the most commonly unmet criterion across the routinely collected outcomes was "reversibility and sensitivity to intervention." The reasons were that most mortality events occur in later life and that the LBW rate has now become obsolete as a sole indicator of perinatal health. Other outcomes were also judged to fail other criteria, notably alcohol-related mortality after midlife ("avoidance of reverse causation"); all cancer sites' incidence and mortality (statistical appropriateness due largely to heterogeneity of SEP gradients across different cancer sites, as well as long latency); and mental health and well-being ("uncertain reversibility and sensitivity to intervention").

conclusionsWe conclude that even state-of-the-art data reports on health inequalities by SEP have only limited usefulness for most health and social policymakers because they focus on routinely collected outcomes that are not very sensitive to intervention. We argue that more "upstream" outcome measures are required, which occur earlier in the life course, can be changed within a half decade by feasible programs and policies of proven effectiveness, accurately reflect individuals' future life-course chances and health status, and are strongly patterned by SEP.

Indexed as

Health Status DisparitiesPractice Guidelines as TopicAdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolChronic DiseaseFemaleHumansInfantInfant, NewbornMaleMass Screening

Identifiers

PMID22188351
PMCPMC3250637

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.