Policy Brief. Determinants of Rural Households Demand For Micro Health Insurance Plans in Tanzania. carnold Kihaule. Ardhi University, Dar Es Salaam



Similar documents
DETERMINANTS OF RURAL HOUSEHOLDS DEMAND FOR MICRO HEALTH INSURANCE PLANS IN TANZANIA. ARNOLD KIHAULE Ardhi University Dar es Salaam, Tanzania

Number DESIGNING HEALTH FINANCING SYSTEMS TO REDUCE CATASTROPHIC HEALTH EXPENDITURE

Questions and Answers on Universal Health Coverage and the post-2015 Framework

Current challenges in delivering social security health insurance

Factors Determining Renewal of Membership in Micro Health Insurance

HEALTH INSURANCE IN VIETNAM: HEALTH CARE REFORM IN A POST-SOCIALIST CONTEXT

Colloquium for Systematic Reviews in International Development Dhaka

THE UNITED REPUBLIC OF TANZANIA MINISTRY OF HEALTH AND SOCIAL SERVICES

Financing Private Health: A focus on Community Based Health Insurance. Dr. Ambrose Nyangao Intervention Manager 5 h June 2014

Assessment findings of the functionality of Community Health Funds in Misenyi, Musoma Rural, and Sengerema districts

Prevalence and Factors Affecting the Utilisation of Health Insurance among Families of Rural Karnataka, India

Health financing: designing and implementing pro-poor policies

Health Insurance. Dr Sanjay Arya

Microinsurance as a social protection instrument

Health insurance for the rural poor?

PJ 22/12. 7 February 2012 English only. Projects Committee/ International Coffee Council 5 8 March 2012 London, United Kingdom

Social Policy Analysis and Development

CHARCOAL PRODUCTION ACTIVITY COMPROMISE ENVIRONMENTAL COMPLIANCE, CONSERVATION AND MANAGEMENT STRATEGIES IN TANZANIA

By Prof. Peter Msolla Ministry of Higher Education, Science and Technology

Development of Health Insurance Scheme for the Rural Population in China

What Makes Health Care Systems work? An international Perspective

Health Insurance Systems in Five Sub-Saharan African Countries: Medicines Benefits and Data for Decision-Making

Water, Sanitation and Hygiene

Determinants of Enrolment in Voluntary Health Insurance: Evidences from a Mixed Method Study, Kerala, India

HEALTHCARE FINANCING REFORM: THE CASE in TURKEY. Prof. Ahmet Burcin YERELI. Department of Public Finance,

EXECUTIVE SUMMARY. The Gap between Law and Reality

Irish Findings on Financial Protection

Shaping national health financing systems: can micro-banking contribute?

Awareness of Health Insurance in Andhra Pradesh

Pioneering Social Health Insurance in Tanzania: The case of the National Health Insurance Fund. (NHIF)

Pensions Core Course Mark Dorfman The World Bank. March 7, 2014

COUNTRY CASE STUDY HEALTH INSURANCE IN SOUTH AFRICA. Prepared by: Vimbayi Mutyambizi Health Economics Unit, University of Cape Town

Colombia REACHING THE POOR WITH HEALTH SERVICES. Using Proxy-Means Testing to Expand Health Insurance for the Poor. Differences between Rich and Poor

FINANCING HEALTH CARE Through communitybased insurance and

Refusal to enrol in Ghana s National Health Insurance Scheme: is affordability the problem?

Child Protection. UNICEF/Julie Pudlowski. for children unite for children

Sarah Dickson Otago University Degree: Law and BA majoring in Economics

Health insurance in low-income countries

National Health Insurance Policy 2013

The importance of bandwidth management and optimisation in research and education institutions

Success Factors for Investing in Modern Energy Enterprises

The Evolution and Future of Social Security in Africa: An Actuarial Perspective

SOCIAL PROTECTION BRIEFING NOTE SERIES NUMBER 4. Social protection and economic growth in poor countries

CURRICULUM VITAE: ULRIK LUND-SØRENSEN

Summary. Accessibility and utilisation of health services in Ghana 245

The South African Child Support Grant Impact Assessment. Evidence from a survey of children, adolescents and their households

12. Property Rates in Tanzania 1

The Social Dimensions of the Crisis: The Evidence and its Implications

Household Survey Data Basics

Determinants of community health fund membership in Tanzania: a mixed methods analysis

AFROBAROMETER Briefing Paper

HIGHER EDUCATION AND THE KNOWLEDGE BASED ECONOMY IN AFRICA- SELECTED COUNTRY VIEWS

Access to Medicines within the State Health Insurance Program for Pension Age Population in Georgia (country)

Determinants of viable health insurance schemes in rural Sub- Sahara Africa

VOLUNTARY HEALTH INSURANCE FOR RURAL INDIA* GYAN SINGH** ABSTRACT

VI. IMPACT ON EDUCATION

HIV/AIDS IN SUB-SAHARAN AFRICA: THE GROWING EPIDEMIC?

The Community Health Fund in Tanzania

World Health Organization 2009

How To Meet The Millennium Target On Water And Sanitation

The Elderly in Africa: Issues and Policy Options. K. Subbarao

Making Student Loans Work in East Africa: Summary Notes from a Student Loan Workshop Arusha, Tanzania, February 11-13, 2008

THE POTENTIAL MARKET FOR PRIVATE LOW-COST HEALTH INSURANCE IN 4 AFRICAN CONTEXTS Lessons Learned from the Health Insurance Fund

The Impact of Micro-Health Insurance on the Access to Health Care Services among the Informal Sector Employees in Urban Areas of Nigeria.

HMI. Provide health care services with a cashless access (may include some cost sharing)

Teen Pregnancy in Sub-Saharan Africa: The Application of Social Disorganisation Theory

Community-based health insurance programmes and the national health insurance scheme of Nigeria: challenges to uptake and integration

Response to the Discussion Paper on the. Review of. Child Care Budget Based. Funding Program

Prescription drugs are playing an increasingly greater role in the

Striving for Good Governance in Africa

VICTIMIZATION SURVEY IN TANZANIA

Maternal and child health: the social protection dividend in West and Central Africa

How To Understand The Benefits Of Community Based Health Insurance In Sub-Saharan Africa

IMPROVING ACCESS TO AFFORDABLE QUALITY BASIC HEALTH CARE IN LOW-INCOME COUNTRIES THROUGH INNOVATIVE PERFORMANCE BASED HEALTH SYSTEMS.

Community Health Funds in Tanzania: A literature review

Providing Financial Protection and Funding Health Service Benefits for the Informal Sector: Evidence from sub- Saharan Africa

TERMS OF REFERENCE FOR STRATEGIC PLANNING & MANAGEMENT EXPERT

TOWARDS UNIVERSAL HEALTHCARE COVERAGE LESSONS FROM THE HEALTH EQUITY & FINANCIAL PROTECTION IN ASIA PROJECT

Affordable Care Act, What s in it? Rural Young Adults. Alyssa Charney

DISCUSSION PAPER NUMBER

Access to Medicines within the State Health Insurance Program. for Pension Age Population in Georgia (country)

ORIGINAL ARTICLES. Public perceptions on national health insurance: Moving towards universal health coverage in South Africa

Bataka Twetambire. let us heal ourselves

OECD, Paris November Gender Budget Initiatives as an aid to Gender Mainstreaming. Professor Diane Elson University of Essex, UK

A National Policy Challenge: Urbanization, Poverty and Health in Africa

Ensuring access: health insurance schemes and HIV

How To Improve Patient Adherence To Artemether Lumefantrine

Lawrence Davidson Lekashingo, MD.

Characteristics and Causes of Extreme Poverty and Hunger. Akhter Ahmed, Ruth Vargas Hill, Lisa Smith, Doris Wiesmann, and Tim Frankenberger

Global South-South Development EXPO 2014

18. Mobile water payments in urban Africa: Adoption, implications and opportunities

HEALTH INSURANCE AND CATASTROPHIC ILLNESS: A REPORT ON THE NEW COOPERATIVE MEDICAL SYSTEM IN RURAL CHINA

Community-based health insurance in developing countries: a study of its contribution to the performance of health financing systems

820 First Street NE, Suite 510 Washington, DC Tel: Fax:

Health Financing in Low Income Countries

Curriculum Vitae. 1. Name Asmerom Kidane Professor of Economics and Statistics, University of Dar-es-Salaam, Tanzania

Inquiry into the out-of-pocket costs in Australian healthcare

STATISTICAL DATA COLLECTION IN MAURITIUS

Reasons for Low Enrolments in Early Childhood Education in Kenya: The parental perspective.

The Impact of Universal Insurance

Transcription:

Policy Brief No. xx? /Month 20xx? Determinants of Rural Households Demand For Micro Health Insurance Plans in Tanzania carnold Kihaule Ardhi University, Dar Es Salaam Executive statement The objective of this policy brief is to inform the socio economic groups, micro health insurance schemes, and the Ministry of Health to promote increased enrolment of the rural households in the health insurance plans. The increased enrolment of the rural households in the insurance schemes shall enable individuals to minimize out of pocket spending for health services and to overcome inequity in accessing health services, in the episodes of illness. It shall also result in increased income for households to be spentonchildren s education and investments in the economic activities. The ultimate outcome shall be the reduction of poverty in the rural areas in the country. Currently, micro health insurance schemes have enrolled few members, despite the fact that they provide low price health insurance plans. Overall, at the moment only 15 percent of Tanzanians have health insurance cover. Introduction A large number of rural householdscannot access health care services because they are unable to pay for health care services in the episodes of sickness in Tanzania. For example, the household budget survey of 2007 revealed that one third of Tanzanians who were sick did not visit health facilities.one of the reasons was unaffordability of health services. WHO (2005)advocates equal access to health care services among the populace in developing countries by encouraging households to join health insurance schemes. In Tanzania, opportunities to join health insurance schemes areavailable. The government and socio economic groups had established micro health insurance schemes. However, only a few households have joined the health insurance schemes. At present, only 15 percent of Tanzanians are members of the health insurance schemes. The consequence has been either 1

limited access of the rural households to health care services or large out of pocket spending in the episodes of illness. Households out of pocket spending for health services is estimated to be 80 per cent of total private spending and 50 percent of total health care expenditure in Tanzania. Alarge out of pocket spending for health services in the episodes of illness or injury aggravates poverty in the rural areas. The reason is that high out of pocket spending makes poor rural households unable to cover education expenses for their children, leading to inability to augment the human capital and secure gainful employment. It also restricts households ability to augment the investments in economic activities. Leaving the issue of low enrolment in the health insurance schemes unattended makes poverty reduction as stipulated by the National Strategy for Growth and Reduction of Poverty (NSGRP), as well as the Millennium Development Goals anuphill task. Thus, this study seeks to examine the impact of the household membership and non-membership in micro health insurance schemes on the utilization of health services in the episodes of illness. In particular, it analyses whether micro health insurance schemes facilitate households access to health care services or not. Methodology The theory of demand for health insuranceprovides a theoretical framework for this study. The underlying assumption of the theory is that households seeking health services in episode of illness behave rationally. In particular, they seek to overcome disutility associated with being sick and look for protection against catastrophic health spending. The study usesdata from Tanzania Demographic and Health Survey of 2010 to analyse rural household utilization of health services.the optimal sample size for the research was 362 poor and non-poorhouseholds. This included 127 who were members of the micro health insurance schemes and 235 non-members. The matching estimator methods were adopted to analyse data. The methods entail categorising households data in treated and control dichotomy conditional on the observed covariates. The dichotomy allows the estimation of the three statistics for the purpose of evaluating the impact of households membership in the micro health insurance plan on the utilization of health services and protection against catastrophic expenditure shocks in the episodes of illness. The first is Average Treatment Effects (ATE), which was used to compare the outcomes between the treated (members) and control sub group (nonmembers). The second was Average Treatment Effect of the Treated (ATT).The statistic was used to evaluate the programme impact among the randomly selected members of health insurance schemes. The last one is the Average Treatment Effect on the Control Group (ATC), which measures the impact of extending the insurance to non-members. Results and Findings As pointed out before, the objective of this study is to examine the effect of households membership and non-membership in the micro health insurance schemes on the utilization of health care services and protection against catastrophichealth spending, in the episode of illness. In that regard, the comparison of utilization of health care services was done between non-members and members.the main findings from the studywith regards to the three statistics, highlighted in the methodology section, are presented below. 2

Firstly, the results on the comparison on the utilization of health services among the members and non-members of health insurance scheme in the episodes of illness using the statistic ATT,indicated that the introduction of micro health insurance schemes decreased the households utilization of health care services in the episodes of illness among the members compared to non-members.for the poor households the utilization of health services decreased by 13 percentage points while for non-poor, it decreased by 6 percentage point. Furthermore, the estimated statistic that was used to compares the utilization of health services among the households who are members of health insurance scheme, that is, the ATT,revealed that the utilization of the health care facilities among the poor households who were members of health insurance plans increased by 9 percentage points while for the non-poor households it decreased by 6 percentage points. The results from estimating the effect of extending the micro health insurance plans to nonmembers, through the ATC, revealed that the utilization of health services decreased by 25 percentage points for non-poor households who reported to be sick.in contrast, extending the membership of micro health insurance to the poor members increased the utilization of health services by 12 percentage points. Thus, membership in micro health insurance plans enabled poor rural households to access health service, when sick. In regard to protection against catastrophic health spending, the estimation result revealed that the enrolment of non-members in micro health insurance schemes resulted in the reduction of catastrophic health spending by 6 percentage points among the rural households. Thus, rural households would be able to protect themselves against health risk and catastrophic health spending in the episodes illness or injury by joining in the micro health insurance schemes. In summary, the main findings are firstly, poor households who are members of health insurance increased the utilization of health care services in the episodes of illness compared to non-poor household members. Therefore, households membership in the health insurance schemes increased the accessibility to health services among the poor. Secondly, rural households who were members of health insurance did not realize protection against high health expenditure, when visiting health facilities in the episodes ofillness.thirdly, extending health insurance to non-members who were poor could increase utilization of health care services for the rural households Implications and recommendations Doing nothing to the situation of low enrolment of rural households in the micro health insurance schemes could result in adverse outcomes. It shall result in inequality among the rural households in accessing health care services in the episodes of illness. In particular, only the poor households who are members of insurance schemes and those with high incomes shall continue to enjoy access to health services and non-members shall not. Given that non-members who are poor shall have to part up with a large proportion of their income to get health services, they may not afford to increase investment in economic activities and improve income generation capacity. This,implies that households may continue to be sick for a long period,be unable to work and continue to be poor or become poor. 3

On the positive side, increasing the enrolment of rural households, together with the improvement of the delivery of health care services shall reduce the expenditure burden rural households experience when visiting health care facilities, in the episodes of illnessand help to improve their welfare. In this regard, it is recommended that socio-economic groups, micro health insurance schemes and the Ministry of Health promote awareness among the rural households on the benefits of enrolling in micro health insurance schemes, through community meetings and mass media promotions. Increased enrolment shall contribute in not only enabling rural households to access health care services but also to overcome poverty and increase the pooling of premium from a large number of the households. This can help to enhance thefunding of the health care system. Secondly, the government and other owners of modern health care facilities need to ensure adequate medical supplies are always available in order to minimize out of pocket spending for rural households, when they visit hospitals in the episode of illness or injury. Improved service deliverywill also motivate non-members households to enrol in micro health insurance schemes and utilize health services. It will also facilitate the pooling of revenue for health care services. References Amponsah E. N. 2009. Demand for Health Insurance among women in Ghana: Cross Section: Evidence International Journal of Finance and Economics Issues Vol. 33, pp171-191. Ahuja, R. and Jütting, J. 2002. Are poor, too poor to demand health insurance, Journal Vol.6 No.1, pp 1-20. Basaza, R. Criel, B. van der Stuytt, P. 2007. Low involvement in Ugandan Community Health Insurance Schemes. Underlying courses and Policy Implications; BMC Health Services Research, July Vol. 7, pp 7-105 147-158. Rosner, J. 2012. Micro Health Insurance in Different Setting in Handbook of Micro Health Insurance in Africa (eds) Rosner, J. Lippert, G. Digens, P. and Ouedraogo, L. (2012), Lit Verlag GmbH, Feldstein, P.J. 1988. Health Care Economics 3 rd Edition; John Willey & Sons. New York. Jütting, J. 2003. Health Insurance for the Poor? Determinants of Participants in the Community Based Health Insurance Schemes in Rural Senegal Dev/DIC 2003 (0.2). Kamuzora, P. and Gilson, L. 2007, Factors influencing the implementation of the Community Based Health Insurance, Health Policy and Planning Vol. 22, pp 130 150. Kouadio, A. Monsan, V. and Gbongue, M. 2008. Social Welfare and Demand for Health Care in Urban Areas of Cote d Ivoire, AERC Research Paper 181, Nairobi, Kenya. Mushi, D. 2004a, Is Community Health Fund better than User Fee in Public Health Financing; Brief Formative Research on Local Government in Tanzania, CMI NRBI and REPOA, Publication Series. Pariyo, G. W, Ekirapa-Kiracho, E, Okui, O, Rahman, M, H, Peterson, S. Bishai, D. M.Lucas, H.and Peters, D. H. 2009. Changes in the Utilization of Health Services among the poor and rural residents in Uganda; are the reforms benefiting the poor? International Journal for Equity in Health, 8:39. Pauly, M. V., Zweifel, P., Scheffler, R. M., Preker, A. S. and Basset, M. 2004. Private health insurance in developing countries, Health Affairs, 25, No. 2, pp. 369-379. 4

Shimeles, A. 2010. Community Based Health Insurance Schemes in Africa: The Case of Rwanda, Working Papers in Economics, No. 463. Spaan, E. Mathijssen, J. Tromp. N, McBain, F., ten Have, A. and Baltussen, R. 2012, Bulletin of the World Health Organization 90 pp 685-692 Xu, K., Evans, D. and Kawabata, B. 2003. Household Catastrophic Health Expenditure, Multi country Analysis, Lancet 362 pp 111-117. Zweifel. P. and Breyer, F. H. 1997. Health Economics; Oxford University Press, First Edition. 5