| Literature DB >> 34336755 |
Chukwuemeka Onwuchekwa1, Kristien Verdonck1, Bruno Marchal1.
Abstract
Background: Conditional cash transfers (CCTs) are interventions which provide assistance in the form of cash to specific vulnerable groups on the condition that they meet pre-defined requirements. The impact of conditional cash transfers on children's access to health services and on their overall health has not been established in sub-Saharan Africa. Method: We conducted a systematic review aimed at summarising the available information on the impact of conditional cash transfers on health service utilisation and child health in sub-Saharan Africa. We searched databases for peer-reviewed articles, websites of organisations involved in implementing conditional cash transfer programmes, and Google scholar to identify grey literature. Records were selected based on predefined eligibility criteria which were drawn from a programme impact framework. Records were eligible if one of the following outcomes was evaluated: health services utilisation, immunisation coverage, growth monitoring, anthropometry, illness reported, and mortality. Other records which reported on important intermediate outcomes or described mechanisms significantly contributing to impact were also included in the review. Data items were extracted from eligible records into an extraction form based on predefined data items. Study quality indicators were also extracted into a quality assessment form.Entities:
Keywords: child; conditional cash transfer; health service utilisation; health status; sub-Saharan Africa
Mesh:
Year: 2021 PMID: 34336755 PMCID: PMC8316722 DOI: 10.3389/fpubh.2021.643621
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Details of review question using the SPICE framework.
| Setting | Any of the countries within sub-Saharan Africa where a conditional cash transfer intervention has been implemented |
| Perspective | Children <5 years of age |
| Intervention | Any intervention where cash is provided to individual or household on the condition that they fulfil specific health related conditions |
| Comparison | Comparison groups who benefit from CCT intervention and those who do not, populations before and after the CCT intervention |
| Evaluation | Impact on use of preventive and curative health services, nutritional status and health status |
Figure 1PRISMA flow chart showing the record selection process.
Description of programmes evaluated in the review.
| Manicaland HIV/STD prevention project | ( | Zimbabwe Rural | Pilot, Vulnerable household in selected communities | $18 for household, $4 per child to max 3 children bimonthly | Up-to-date immunisation in children under 5 years | Matched cluster randomised experiment | Difference-in-Difference | 12 months | Wellcome trust, World Bank, United Nations children's fund |
| Concern worldwide CCT programme | ( | Niger, Rural | Emergency famine, Vulnerable households | $250 over 3 months to households | Attendance of health and nutrition classes by mothers | Quasi-experimental | Difference-in-Difference | 3–6 months | Concern worldwide |
| SNACK-CNA programme | ( | Mali, Rural | Pilot, Vulnerable households in selected communities | Approximately $96 over pregnancy up to 24 months (paid per condition completed $4/vaccination, $3 /Growth monitor) | Vaccination. Monthly growth monitoring visits | Cluster randomised experiment | Regression analysis | 24 months | Global affairs Canada, World Food Programme and United Nations children's Funds |
| ( | Mixed methods | Descriptive Thematic analysis | Approximately 12 months | ||||||
| SURE-P MCH | ( | Nigeria, Rural | Pilot, Selected health facilities | $30 over pregnancy up to 6 weeks post-natal ($6 at first immunisation) to mothers | OPV-1 vaccination | Quasi-experimental | Time-series | 12 months | SURE-P MCH, children investment fund foundation, Mckinsey & Company |
| Nahourio CTPP | ( | Burkina Faso, Rural | Pilot, Vulnerable households in selected communities | $9.64 per child per year to households | Quarterly visits to health facility for growth monitoring | Cluster randomised experiment | Regression analysis | 21 months | World Bank |
| TASAF | ( | Tanzania, Rural | Pilot, Vulnerable households in selected communities | $14.5 ($12–36) bimonthly to households | Vaccination. Six visits to health facility for weight monitoring | Cluster randomised experiment | Regression analysis | 22 months | World Bank |
| Not applicable | ( | Democratic Republic of Congo, Urban | Research | Maximum $45 from pregnancy to 6 weeks post-natal | HIV early infant diagnosis at 6 weeks | Individual randomised controlled experiment | Regression analysis (Intention-to-treat) | 12 months | PEPFAR and the NIHCD |
| LEAP | ( | Ghana, Rural | Pilot, Vulnerable households | $21–39 per month to households (plus health insurance) | Health check-ups | Qualitative methods | Thematic analysis | Approximately 24 months | Ghana Ministry of Gender, Children and Social Protection |
SNACK-CNA, Santé Nutritionnelle à Assise Communautaire à Kayes–cash for nutritional awareness; HIV, Human immunodeficiency virus; STD, sexually transmitted diseases; SURE-P MCH, Subsidy Reinvestment and Empowerment Programme Maternal and Child Health Project; CTTP, Cash Transfers Pilot Project; TASAF, Tanzania Social Action Fund; LEAP, Livelihood Empowerment Against Poverty; OPV-1, Oral Polio Vaccine first dose; PEPFAR, The President's Emergency Plan for AIDS Relief; NIHCD, National Institute of Health and Child Development.
Describes conditions related to utilisation of child services.
Period between initiation of intervention and final evaluation.
CCTs initiated during pregnancy.
CCTs targeting HIV prevention of mother-to-child services.
Summary of finding of evaluations included in the review.
| Robertson et al. ( | Manicaland HIV/STD prevention project, Zimbabwe | Matched cluster randomised study | 0–59 months | No significant difference in up-to-date immunisation records |
| Bliss et al. ( | concern worldwide CCT programme, Niger | Quasi-Experimental design | 6–24 months | No difference in reported illness in preceding 15 days |
| Significant difference in anthropometry (Weight, WHZ and MUAC) | ||||
| Significant increase in meal frequency and diversity in preceding 24 h | ||||
| Adubra et al. ( | SNACK–CNA, Mali | Cluster randomised study | 12–42 months | No observed difference in immunisation rates |
| No difference in number of routine growth monitoring visits in past year | ||||
| No difference in illness reports in preceding 15 days | ||||
| No difference in meal frequency and diversity in preceding 24 h | ||||
| No difference in HAZ | ||||
| Okoli et al. ( | SURE-P MCH, Nigeria | Quasi-experimental design | <6 weeks | No difference in OPV rate in intervention and control sites |
| Akresh et al. ( | Nahourio CTPP, Burkina Faso | Factorial cluster randomised study | 0–59 months | More routine clinic visit per year in CCT recipients |
| Evans and Hausladen ( | TASAF, Tanzania | Cluster randomised study | 0–23 months | No difference in number of health facility visits at midline |
| 0–59 months | No difference in anthropometry (Height, Weight, HAZ, WAZ, WHZ, MUAC). | |||
| 0–59 months | No significant difference in reported illness in preceding 4 weeks. | |||
| Household level | Increase in dietary intake. | |||
| Yotebieng et al. ( | Not applicable | Individual randomised control trial | <6 weeks | No significant difference in proportion of children receiving early infant diagnosis for HIV |
SNACK-CNA, Santé Nutritionnelle à Assise Communautaire à Kayes–cash for nutritional awareness; HIV, Human immunodeficiency virus; STD, sexually transmitted diseases; SURE-P MCH, Subsidy Reinvestment and Empowerment Programme Maternal and Child Health Project; TASAF, Tanzania Social Action Fund; WHZ, Weight-for-Height Z–score; MUAC, mid-upper arm circumference; HAZ, Height-for-Age Z-score; WAZ, Weight-for-Age Z-Score; CTTP, Cash Transfers Pilot Project.
Effect of CCT on anthropometric measures.
| Bliss et al. ( | Quasi-Experimental design | 6–24 | Weight—mean and sd (kg) | 7.89 (1.00) | 8.24 (1.00) | 1.35 ( |
| WHZ—mean and sd | −1.5 (1.1) | −1.0 (1.1) | 1.83 ( | |||
| MUAC—mean and sd (mm) | 137 (8) | 139 (9) | 7.0 ( | |||
| Adubra et al. ( | Cluster randomised design | 12–42 | HAZ—mean and sd | −1.57 (1.23) | −1.40 (1.23) | 0.03 ( |
| Prevalence of stunting (%) | 35.6 | 29.5 | 0.87 ( | |||
| Evans and Hausladen ( | Cluster randomised design | 0–59 | Height—Mean (cm) | 87.31 (combined) | 0.53 ( | |
| 0–59 | Weight—Mean (kg) | 12.16 (combined) | 0.16 ( | |||
| 0–59 | MUAC—Mean (mm) | 155.81 (combined) | 1.42 ( | |||
WHZ, Weight-for-Height Z–score; MUAC, mid-upper arm circumference; HAZ, Height-for-Age Z-score; cm, centimetre; kg, kilogrammes; mm, millimetres; sd, standard deviation.
Difference-in-differences analysis;
Linear regression analysis (β coefficient),
Logistic regression analysis with adjusted odds ratio.
Effect of CCT on clinic visits.
| Akresh et al. ( | Factorial cluster randomised design | 0–59 | Mean number of preventive health visits in past year | 1.03 | 0.43 ( | |
| Adubra et al. ( | Cluster randomised design | 12–42 | More than half routine visits (%) | 29.0 | 36.5 | 3.07 (95% CI 0.93, 10.17) |
| One or more routine visits (%) | 43.6 | 44.2 | 1.36 (95% CI 0.69, 2.70) | |||
| Evans and Hausladen ( | Cluster randomised design | 0–24 | Mean number of health visits in past year | 9.2 (combined) | −2.71 (0.1 > | |
β coefficients from linear models,
Adjusted odds ratio from logistic regression,
Presents 95% confidence interval.
Effect of CCT on immunisation rates.
| Robertson et al. ( | Cluster randomised design | 0–59 months | Complete immunisation records (%) | 66.0 | 66.0 | 1.9% (95% CI−4.9, 8.8) |
| Adubra et al. ( | Cluster randomised design | 12–42 months | Complete immunisation records (%) | 82.6 | 80.1 | 1.32 (95% CI 0.71, 2.48) |
| Okoli et al. ( | Cluster randomised design | 0–6 weeks | Infants vaccinated per 100,000 population | Not reported | Not reported | 1.15 ( |
Difference-in-differences analysis,
Adjusted odds ratio from logistic regression model,
βcoefficient from segmented linear regression model for the change in level,
Reports 95% confidence interval,
Reports p-values, CI, confidence interval.
Effect of CCT on health status as measured by illness report.
| Bliss et al. ( | Quasi-Experimental design | 6–24 | Mean number of preventive health visits in past year | 99 | 91 | +7 (0.17) |
| Adubra et al. ( | Cluster randomised design | 12–42 | Reported ill in the past 15 days (%) | 19.9 | 23.0 | 1.02 (0.58, 1.08) |
| Evans and Hausladen ( | Cluster randomised design | 0–59 | Reported ill in the past 4 weeks (%) | 75 (combined) | −0.10 (>0.1) | |
| Number of sick days in past 4 weeks | 1.05 (combined) | −0.70 (0.1 > | ||||
Difference-in-differences,
Adjusted odds ratio from logistic regression,
β coefficient from linear regression,
Presents 95% confidence interval, CI, confidence interval.
| Study method | Was the study method appropriate to the question the study set out to answer? | |
| Sample size | Was the sample size measured prospectively? | |
| Outcome assessment | Were outcome assessors blinded to the allocation of the respondent? | |
| Randomisation | Did any event occur during conduct of the study that could have compromised randomisation? (include contamination) | |
| Outcome measurement | Were all outcomes measured in a valid or objective way? | |
| Analysis | Was the analysis appropriate? (include control for confounding, appropriate consideration for time trend) | |
| Adequate comparison | Were the groups comparable at baseline? | |
| Attrition or loss to follow-up | Was loss to follow-up or attrition significant? (more than 5%) | |
| Conflict of interest | Was there potential conflict of interest between authors or sponsors and the CCT implementing institution? |