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. 2023 Dec 6;67:102180. doi: 10.1016/j.eclinm.2023.102180

Table 1.

Assessing the extent to which PROGRESS-Plus social factors are considered in global maternal health interventions.

Intervention design n = 59 studiesa
Equity-informed target population n = 31 studiesb
Equity-informed outcome evaluation n = 51 studiesc
n (%) PROGRESS-Plus factor n (%) PROGRESS-Plus factor n (%) PROGRESS-Plus factor
Place of residence 4 (6.8%) Targets access in rural and remote areas 4 (12.9%) Resident in rural area 13 (25.5%) Urban/rural, geographic access to facility
Race, ethnicity, culture, language 3 (5.1%) Targets racial disparities and cultural safety 5 (16.1%) Indigenous identity, ethnic minority 12 (23.5%) Caste, race/ethnicity, Indigenous identity
Occupation 2 (3.4%) Paid parental leave 1 (3.2%) Women who work 5 (9.8%) Employment status
Gender/sex 2 (3.4%) Promote gender equity 1 (3.2%) Women and men 4 (7.8%) Gender
Religion 0 (0.0%) 0 (0.0%) 2 (3.9%) Religion
Education 7 (11.9%) Health education 0 (0.0%) 16 (31.4%) Education, literacy
Socioeconomic status 28 (47.5%) Vouchers, fee-subsidies, free services, user fee reductions, cash transfers 19 (61.3%) Poverty, food insecurity 41 (80.4%) Wealth status
Social capital 14 (23.7%) Safe motherhood action groups, community mobilisation, community health and health extension workers 0 (0.0%) 0 (0.0%)
Refugee/migration status 1 (1.7%) Professional development, group antenatal care 1 (3.2%) Women of refugee backgrounds 1 (2.0%) Refugee status
Age 0 (0.0%) 0 (0.0%) 11 (21.6%) Age
Justice-involved individuals 1 (1.7%) Justice reform 0 (0.0%) 0 (0.0%)

This table maps the studies included in the scoping review to PROGRESS-Plus social factors (rows), based on whether the PROGRESS-Plus social factor was addressed in the intervention design, target population, or outcome evaluation. The table shows that socioeconomic status is the most commonly addressed social factor across intervention design, target population, and outcome evaluation, while more work is needed to address other social inequities and their intersections.

a

All 59 included studies.

b

31/59 included studies that specifically targeted a historically underserved or marginalised population.

c

51/59 included studies that conducted equity-informed outcome evaluation (e.g., disaggregating data by equity identifiers or calculating concentration indices).