Conditional cash transfers to improve health-focused outcomes: a global scoping review

ABSTRACT

This scoping review assesses the use of conditional cash transfer (CCT) interventions – direct distribution of money to individuals conditional on their compliance to certain requirements – in randomised controlled trials, quasi-experimental studies and large community-based randomised trials with health-focused outcomes. Five databases were searched to identify 68 records published 2004–2021 from 25 countries (8 low- (32%), 5 lower middle- (20%), 6 upper middle- (24%) and 6 high-income (24%), according to the World Bank Categorisation (2017). Forty-six studies were unique (after excluding multiple publications on a single study). The most common outcomes assessed were infectious diseases (30%); maternal health (24%); vaccination rates (17%); and childhood developmental measures (17%). The number of participants receiving CCT in each study ranged from 47 to 5,788, with a median of 487 individuals. The number of total participants ranged from 72 to 14,000, with a median of 1,289 individuals. Fifteen percent of studies involved mobile CCT disbursement. More than a quarter of payments were greater than 50 USD (29%), and most payments were 20 USD or less (58%). Seventy-eight percent of unique full-length studies reported statistically significant CCT effects. Although CCTs remain controversial, a growing evidence base is emerging for their potential impact in specific health conditions.

KEYWORDS:

• Conditional cash transfers
• Randomised controlled trials
• global health
• scoping review

Acknowledgments

The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the World Bank, its Executive Directors, or the countries they represent.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 n = 41 for measuring the statistical significance of the studies, since study protocols were removed from the analysis.