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Supply-side factors influencing informal payment for healthcare services in Tanzania

Bibliographic Data

ID16762913
AuthorsPeter Binyaruka (0000-0002-1892-7985, Ifakara Health Institute, corresponding author), Dina Balabanova (0000-0001-7163-3428, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK), Martin Mckee (0000-0002-0121-9683, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK), Eleanor Hutchinson (0000-0002-9718-2407, Department of Global Health and Development, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London WC1H 9SH, UK), Antonio Andreoni (0000-0001-9389-0927, UCL Institute for Innovation and Public Purpose, 11 Montague Street, London WC1B 5BP, UK), Mary Ramesh (0000-0002-4942-3923, Ifakara Health Institute), Blake Angell (0000-0002-7188-7740, The George Institute for Global Health, University of New South Wales Sydney, Sydney, Australia), Ntuli Kapologwe (0000-0003-0900-2937, President’s Office—Regional Administration and Local Government (PO-RALG), Dodoma, Tanzania), Masuma Mamdani (0000-0002-5321-0031, Ifakara Health Institute)
Year2021
Volume36
Issue7
Pages1036-1044
Publication date2021-08-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHealth Policy and Planning (JOURNAL)
Journal identifiersISSN: 0268-1080 • E-ISSN: 1460-2237
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/heapol/czab034
PMID34021334
OpenAlexW3160805077
LanguageEN
Citations received9
References cited50

Informal payments for healthcare are widespread in sub-Saharan Africa. They are often regressive, potentially limiting access to quality healthcare, particularly for the most vulnerable, and can have catastrophic consequences for households. Yet there is little empirical research that uses theory-driven hypotheses to explore what influences informal payments and, especially, from health workers’ perspectives. Consequently, we have explored the characteristics of health workers and facilities influencing informal payments in Tanzania, examining two hypotheses: health workers with power and position in the system are more likely to receive informal payments, and transparency and accountability measures can be bypassed by those who can game the system. We conducted a cross-sectional survey of 432 health workers from 42 public health facilities (hospitals and health centres) in 12 district councils from Pwani and Dar es Salam regions in Tanzania. Our dependent variable was whether the health worker has ever asked for or been given informal payments or bribes, while explanatory variables were measured at the individual and facility level. Given the hierarchical structure of the data, we used a multilevel mixed-effect logistic regression to explore the determinants. Twenty-seven percent of 432 health workers ever engaged in informal payment. This was more common amongst younger (<35 years) health workers and those higher in the hierarchy (specialists and heads of departments). Those receiving entitlements and benefits in a timely manner and who were subject to continued supervision were significantly less likely to receive informal payments. The likelihood of engaging in informal payments varied among health workers, consistent with our first hypothesis, but evidence on the second hypothesis remains mixed. Thus, policy responses should address both individual and system-level factors, including ensuring adequate and progressive health sector financing, better and timely remuneration of frontline public health providers, and enhanced governance and supervision

Accountability · Business · Economic growth · Economics · Environmental health · Health care · Health facility · Health services · Informal sector · Payment · Political science · Population · Public economics · Socioeconomics · Tanzania · Transparency (behavior) · Finance · Global Health Care Issues · Global Maternal and Child Health · Healthcare Systems and Reforms · Medicine

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Unique citing works9
Citations per year2,25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8
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