Health worker preferences for community-based health insurance payment mechanisms: a discrete choice experiment

BackgroundIn 2004, a community-based health insurance scheme (CBI) was introduced in Nouna health district, Burkina Faso. Since its inception, coverage has remained low and dropout rates high. One important reason for low coverage and high dropout is that health workers do not support the CBI scheme because they are dissatisfied with the provider payment mechanism of the CBI.MethodsA discrete choice experiment (DCE) was used to examine CBI provider payment attributes that influence health workers’ stated preferences for payment mechanisms. The DCE was conducted among 176 health workers employed at one of the 34 primary care facilities or the district hospital in Nouna health district. Conditional logit models with main effects and interactions terms were used for analysis.ResultsReimbursement of service fees (adjusted odds ratio (aOR) 1.49, p < 0.001) and CBI contributions for medical supplies and equipment (aOR 1.47, p < 0.001) had the strongest effect on whether the health workers chose a given provider payment mechanism. The odds of selecting a payment mechanism decreased significantly if the mechanism included (i) results-based financing (RBF) payments made through the local health management team (instead of directly to the health workers (aOR 0.86, p < 0.001)) or (ii) RBF payments based on CBI coverage achieved in the health worker’s facility relative to the coverage achieved at other facilities (instead of payments based on the numbers of individuals or households enrolled at the health worker’s facility (aOR 0.86, p < 0.001)).ConclusionsProvider payment mechanisms can crucially determine CBI performance. Based on the results from this DCE, revised CBI payment mechanisms were introduced in Nouna health district in January 2011, taking into consideration health worker preferences on how they are paid.

[1]  L. Morgan Performance incentives in global health : potential and pitfalls , 2010 .

[2]  S. Galea,et al.  Women's preferences for place of delivery in rural Tanzania: a population-based discrete choice experiment. , 2009, American journal of public health.

[3]  Björn Ekman,et al.  Community-based health insurance in low-income countries: a systematic review of the evidence. , 2004, Health policy and planning.

[4]  A. Mills,et al.  Barriers to accessing benefits in a community-based insurance scheme: lessons learnt from SEWA Insurance, Gujarat. , 2006, Health policy and planning.

[5]  Rainer Sauerborn,et al.  One hundred and eighteen years of the German health insurance system: are there any lessons for middle- and low-income countries? , 2002, Social science & medicine.

[6]  B. Criel,et al.  Low enrolment in Ugandan Community Health Insurance Schemes: underlying causes and policy implications , 2007, BMC Health Services Research.

[7]  G. Carrin,et al.  Effectiveness of Community Health Financing in Meeting the Cost of Illness , 2002, Bulletin of the World Health Organization.

[8]  B. Criel,et al.  La difficulté du partenariat entre professionnels de santé et mutualistes: le cas de la mutuelle de santé Maliando en Guinée‐Conakry , 2005 .

[9]  A. Hyder Challenging Inequities in Health: From Ethics to Action , 2002 .

[10]  M. Young,et al.  Health services research , 2008, Journal of General Internal Medicine.

[11]  Joel Huber,et al.  The Importance of Utility Balance in Efficient Choice Designs , 1996 .

[12]  J. Guzmán Regression Models for Categorical Dependent Variables Using Stata , 2013 .

[13]  M. Lagarde,et al.  A review of the application and contribution of discrete choice experiments to inform human resources policy interventions , 2009, Human resources for health.

[14]  D. McFadden Conditional logit analysis of qualitative choice behavior , 1972 .

[15]  M. English,et al.  Policy interventions that attract nurses to rural areas: a multicountry discrete choice experiment. , 2010, Bulletin of the World Health Organization.

[16]  Angela Bate,et al.  Preferences for access to the GP: a discrete choice experiment. , 2006, The British journal of general practice : the journal of the Royal College of General Practitioners.

[17]  K. Lancaster,et al.  A New Approach to Consumer Theory , 1966, Journal of Political Economy.

[18]  R. Sauerborn,et al.  "To enrol or not to enrol?": A qualitative investigation of demand for health insurance in rural West Africa. , 2006, Social science & medicine.

[19]  M. Whitehead,et al.  Challenging inequities in health: from ethics to action. , 2001 .

[20]  R. Sauerborn,et al.  Understanding enrolment in community health insurance in sub-Saharan Africa: a population-based case-control study in rural Burkina Faso. , 2006, Bulletin of the World Health Organization.

[21]  J. Louviere,et al.  Conducting Discrete Choice Experiments to Inform Healthcare Decision Making , 2012, PharmacoEconomics.

[22]  R. Sauerborn,et al.  Drop-out analysis of community-based health insurance membership at Nouna, Burkina Faso. , 2009, Health policy.

[23]  K. Lancaster A New Approach to Consumer Theory , 1966, Journal of Political Economy.

[24]  B. Criel,et al.  [Difficulties in partnerships between health professionals and Mutual Health Organisations: the case of Maliando in Guinea-Conakry]. , 2005, Tropical medicine & international health : TM & IH.

[25]  B. Criel,et al.  The landscape of community health insurance in India: an overview based on 10 case studies. , 2006, Health policy.

[26]  A. Mills,et al.  Making health insurance work for the poor: learning from the Self-Employed Women's Association's (SEWA) community-based health insurance scheme in India. , 2006, Social science & medicine.

[27]  J. S. Long,et al.  Regression models for categorical dependent variables using Stata, 2nd Edition , 2005 .

[28]  R. Kanfer,et al.  Determinants and consequences of health worker motivation in hospitals in Jordan and Georgia. , 2004, Social science & medicine.

[29]  T. Bärnighausen,et al.  Health workers at the core of the health system: framework and research issues. , 2012, Health policy.

[30]  R. Sauerborn,et al.  Motivational determinants among physicians in Lahore, Pakistan , 2010, BMC health services research.

[31]  Rainer Sauerborn,et al.  Willingness-to-pay for community-based insurance in Burkina Faso. , 2003, Health economics.

[32]  N. Hanley,et al.  Choice modelling approaches: a superior alternative for environmental valuation? , 2002 .

[33]  S. Galea,et al.  Women's preferences for obstetric care in rural Ethiopia: a population-based discrete choice experiment in a region with low rates of facility delivery , 2009, Journal of Epidemiology & Community Health.

[34]  R. Sauerborn,et al.  Provider payment in community-based health insurance schemes in developing countries: a systematic review , 2012, Health policy and planning.

[35]  T. Kurth,et al.  Propensity scores: help or hype? , 2004, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[36]  Yuanli Liu,et al.  Health Care Financing: Assessing Its Relationship to Health Equity , 2001 .

[37]  David M. Dror,et al.  Micro-Insurance: Extending Health Insurance to the Excluded , 1999 .

[38]  Bart Criel,et al.  Community health insurance in Uganda: why does enrolment remain low? A view from beneath. , 2008, Health policy.

[39]  R. Sauerborn,et al.  The effect of community-based health insurance on the utilization of modern health care services: evidence from Burkina Faso. , 2009, Health policy.

[40]  Sara Bennett,et al.  Health sector reform and public sector health worker motivation: a conceptual framework. , 2002, Social science & medicine.

[41]  G. Carrin,et al.  Community‐based health insurance in developing countries: a study of its contribution to the performance of health financing systems , 2005, Tropical medicine & international health : TM & IH.

[42]  A. Anell,et al.  Population preferences and choice of primary care models: a discrete choice experiment in Sweden. , 2007, Health policy.

[43]  M. Ranson Reduction of catastrophic health care expenditures by a community-based health insurance scheme in Gujarat, India: current experiences and challenges. , 2002, Bulletin of the World Health Organization.

[44]  B. Criel,et al.  Declining subscriptions to the Maliando Mutual Health Organisation in Guinea-Conakry (West Africa): what is going wrong? , 2003, Social science & medicine.

[45]  Rainer Sauerborn,et al.  The feasibility of community-based health insurance in Burkina Faso. , 2004, Health policy.

[46]  A. Mills,et al.  Equitable utilisation of Indian community based health insurance scheme among its rural membership: cluster randomised controlled trial , 2007, BMJ : British Medical Journal.

[47]  Rainer Sauerborn,et al.  Willingness to pay for social health insurance among informal sector workers in Wuhan, China: a contingent valuation study , 2007, BMC Health Services Research.

[48]  A. Mills,et al.  The response of providers to capitation payment: a case-study from Thailand. , 2000, Health policy.

[49]  R. Sauerborn,et al.  Health insurance and health-seeking behavior: evidence from a randomized community-based insurance rollout in rural Burkina Faso. , 2012, Social science & medicine.

[50]  Gunawan Setiadi,et al.  What do doctors want? developing incentives for doctors to serve in Indonesia's rural and remote areas , 1999 .

[51]  Rainer Sauerborn,et al.  Step-wedge cluster-randomised community-based trials: An application to the study of the impact of community health insurance , 2008, Health Research Policy and Systems.

[52]  M. Kruk,et al.  Rural practice preferences among medical students in Ghana: a discrete choice experiment. , 2010, Bulletin of the World Health Organization.

[53]  K. Hanson,et al.  Employment preferences of public sector nurses in Malawi: results from a discrete choice experiment , 2008, Tropical medicine & international health : TM & IH.