4.6 Article

What types of interventions generate inequalities? Evidence from systematic reviews

Journal

JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH
Volume 67, Issue 2, Pages 190-193

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/jech-2012-201257

Keywords

-

Funding

  1. National Institute for Health Research [09/3000/14] Funding Source: researchfish
  2. Department of Health [09/3000/14] Funding Source: Medline

Ask authors/readers for more resources

Background Some effective public health interventions may increase inequalities by disproportionately benefiting less disadvantaged groups ('intervention-generated inequalities' or IGIs). There is a need to understand which types of interventions are likely to produce IGIs, and which can reduce inequalities. Methods We conducted a rapid overview of systematic reviews to identify evidence on IGIs by socioeconomic status. We included any review of non-healthcare interventions in high-income countries presenting data on differential intervention effects on any health status or health behaviour outcome. Results were synthesised narratively. Results The following intervention types show some evidence of increasing inequalities (IGIs) between socioeconomic status groups: media campaigns; and workplace smoking bans. However, for many intervention types, data on potential IGIs are lacking. By contrast, the following show some evidence of reducing health inequalities: structural workplace interventions; provision of resources; and fiscal interventions, such as tobacco pricing. Conclusion Our findings are consistent with the idea that 'downstream' preventive interventions are more likely to increase health inequalities than 'upstream' interventions. More consistent reporting of differential intervention effectiveness is required to help build the evidence base on IGIs.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available