Step-wedge cluster-randomised community-based trials

An application to the study of the impact of community health insurance

Manuela De Allegri, Subhash Pokhrel, Heiko Becher, Hengjin Dong, Ulrich Mansmann, Bocar Kouyaté, Gisela Kynast-Wolf, Adjima Gbangou, Mamadou Sanon, John Bridges, Rainer Sauerborn

Research output: Contribution to journalArticle

Abstract

Background: We describe a step-wedge cluster-randomised community-based trial which has been conducted since 2003 to accompany the implementation of a community health insurance (CHI) scheme in West Africa. The trial aims at overcoming the paucity of evidence-based information on the impact of CHI. Impact is defined in terms of changes in health service utilisation and household protection against the cost of illness. Our exclusive focus on the description and discussion of the methods is justified by the fact that the study relies on a methodology previously applied in the field of disease control, but never in the field of health financing. Methods: First, we clarify how clusters were defined both in respect of statistical considerations and of local geographical and socio-cultural concerns. Second, we illustrate how households within clusters were sampled. Third, we expound the data collection process and the survey instruments. Finally, we outline the statistical tools to be applied to estimate the impact of CHI. Conclusion: We discuss all design choices both in relation to methodological considerations and to specific ethical and organisational concerns faced in the field. On the basis of the appraisal of our experience, we postulate that conducting relatively sophisticated trials (such as our step-wedge cluster-randomised community-based trial) aimed at generating sound public health evidence, is both feasible and valuable also in low income settings. Our work shows that if accurately designed in conjunction with local health authorities, such trials have the potential to generate sound scientific evidence and do not hinder, but at times even facilitate, the implementation of complex health interventions such as CHI.

Original languageEnglish (US)
Article number10
JournalHealth Research Policy and Systems
Volume6
DOIs
StatePublished - Oct 22 2008

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Health Insurance
Healthcare Financing
Cost of Illness
Western Africa
Health
Health Services
Public Health

ASJC Scopus subject areas

  • Health Policy

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Step-wedge cluster-randomised community-based trials : An application to the study of the impact of community health insurance. / De Allegri, Manuela; Pokhrel, Subhash; Becher, Heiko; Dong, Hengjin; Mansmann, Ulrich; Kouyaté, Bocar; Kynast-Wolf, Gisela; Gbangou, Adjima; Sanon, Mamadou; Bridges, John; Sauerborn, Rainer.

In: Health Research Policy and Systems, Vol. 6, 10, 22.10.2008.

Research output: Contribution to journalArticle

De Allegri, M, Pokhrel, S, Becher, H, Dong, H, Mansmann, U, Kouyaté, B, Kynast-Wolf, G, Gbangou, A, Sanon, M, Bridges, J & Sauerborn, R 2008, 'Step-wedge cluster-randomised community-based trials: An application to the study of the impact of community health insurance', Health Research Policy and Systems, vol. 6, 10. https://doi.org/10.1186/1478-4505-6-10
De Allegri, Manuela ; Pokhrel, Subhash ; Becher, Heiko ; Dong, Hengjin ; Mansmann, Ulrich ; Kouyaté, Bocar ; Kynast-Wolf, Gisela ; Gbangou, Adjima ; Sanon, Mamadou ; Bridges, John ; Sauerborn, Rainer. / Step-wedge cluster-randomised community-based trials : An application to the study of the impact of community health insurance. In: Health Research Policy and Systems. 2008 ; Vol. 6.
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