Eliciting community preferences for complementary micro health insurance: A discrete choice experiment in rural Malawi

被引:24
|
作者
Abiiro, Gilbert Abotisem [1 ,2 ]
Torbica, Aleksandra [3 ]
Kwalamasa, Kassim [4 ]
De Allegri, Manuela [1 ]
机构
[1] Heidelberg Univ, Fac Med, Inst Publ Hlth, Heidelberg, Germany
[2] Univ Dev Studies, Planning & Management Dept, Wa, Upper West Regi, Ghana
[3] Bocconi Univ, Dept Policy Anal & Publ Management, Ctr Res Hlth & Social Care Management CERGAS, Milan, Italy
[4] Res Equ & Community Hlth Trust REACH Trust, Lilongwe, Malawi
关键词
Malawi; Rural communities; Discrete choice experiment; Preferences; Micro health insurance; WILLINGNESS-TO-PAY; WEST-AFRICA; BENEFIT PACKAGES; DECISION; IMPACT; ENROLL; INDIA; CARE;
D O I
10.1016/j.socscimed.2014.09.021
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
There is a limited understanding of preferences for micro health insurance (MHI) as a strategy for moving towards universal health coverage. Using a discrete choice experiment (DCE), we explored community preferences for the attributes and attribute-levels of a prospective MHI scheme, aimed at filling health coverage gaps in Malawi. Through a qualitative study informed by a literature review, we identified six MHI attributes (and attribute-levels): unit of enrollment, management structure, health service benefit package, copayment levels, transportation coverage, and monthly premium per person. Qualitative data was collected from 12 focus group discussions and 8 interviews in August September, 2012. We constructed a D-efficient design of eighteen choice-sets, each comprising two MHI choice alternatives and an opt-out. Using pictorial images, trained interviewers administered the DCE in March May, 2013, to 814 household heads and/or their spouse(s) in two rural districts. We estimated preferences for attribute-levels and relative importance of attributes using conditional and nested logit models. The results showed that all attribute-levels except management by external NGO significantly influenced respondents' choice behavior (P < 0.05). These included: enrollment as core nuclear family (odds ratio (OR) = 1.1574), extended family (OR = 1.1132), compared to individual; management by community committee (OR = 0.9494) compared to local micro finance institution; comprehensive health service package (OR = 1.4621), medium service package (OR = 1.2761), compared to basic service package; no copayment (OR = 1.1347), 25% copayment (OR = 1.1090), compared to 50% copayment; coverage of all transport (OR = 1.5841), referral and emergency transport (OR = 1.2610), compared to no transport; and premium (OR = 0.9994). The relative importance of attributes is ordered as: transport, health services benefits, enrollment unit, premium, copayment, and management. To maximize consumer utility and encourage community acceptance of MHI, potential MHI schemes should cover transport costs, offer a comprehensive benefit package, define the core family as the unit of enrollment, avoid high copayments, and be managed by a competent financial institution. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:160 / 168
页数:9
相关论文
共 50 条
  • [1] Developing attributes and attribute-levels for a discrete choice experiment on micro health insurance in rural Malawi
    Abiiro, Gilbert Abotisem
    Leppert, Gerald
    Mbera, Grace Bongololo
    Robyn, Paul J.
    De Allegri, Manuela
    BMC HEALTH SERVICES RESEARCH, 2014, 14
  • [2] Eliciting preferences for social health insurance in Ethiopia: a discrete choice experiment
    Obse, Amarech
    Ryan, Mandy
    Heidenreich, Sebastian
    Normand, Charles
    Hailemariam, Damen
    HEALTH POLICY AND PLANNING, 2016, 31 (10) : 1423 - 1432
  • [3] Developing attributes and attribute-levels for a discrete choice experiment on micro health insurance in rural Malawi
    Gilbert Abotisem Abiiro
    Gerald Leppert
    Grace Bongololo Mbera
    Paul J Robyn
    Manuela De Allegri
    BMC Health Services Research, 14
  • [4] Eliciting Preferences for Health Insurance in Iran Using Discrete Choice Experiment Analysis
    Karyani, Ali Kazemi
    Sari, Ali Akbari
    Woldemichael, Abraha
    INTERNATIONAL JOURNAL OF HEALTH POLICY AND MANAGEMENT, 2019, 8 (08) : 488 - 497
  • [5] Preferences for private health insurance in China: A discrete choice experiment
    Chen, Nuo
    Bai, Jing
    Nicholas, Stephen
    Maitland, Elizabeth
    Tan, Jialong
    Wang, Jian
    FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [6] What factors drive heterogeneity of preferences for micro-health insurance in rural Malawi?
    Abiiro, Gilbert Abotisem
    Torbica, Aleksandra
    Kwalamasa, Kassim
    De Allegri, Manuela
    HEALTH POLICY AND PLANNING, 2016, 31 (09) : 1172 - 1183
  • [7] Developing a discrete choice experiment in Malawi: eliciting preferences for breast cancer early detection services
    Kohler, Racquel E.
    Lee, Clara N.
    Gopal, Satish
    Reeve, Bryce B.
    Weiner, Bryan J.
    Wheeler, Stephanie B.
    PATIENT PREFERENCE AND ADHERENCE, 2015, 9 : 1459 - 1472
  • [8] Eliciting patients' preferences for epilepsy diagnostics: A discrete choice experiment
    Wijnen, B. F. M.
    de Kinderen, R. J. A.
    Colon, A. J.
    Dirksen, C. D.
    Essers, B. A. B.
    Hiligsmann, M.
    Leijten, F. S. S.
    Ossenblok, P. P. W.
    Evers, S. M. A. A.
    EPILEPSY & BEHAVIOR, 2014, 31 : 102 - 109
  • [9] Health worker preferences for community-based health insurance payment mechanisms: a discrete choice experiment
    Robyn, Paul Jacob
    Baernighausen, Till
    Souares, Aurelia
    Savadogo, Germain
    Bicaba, Brice
    Sie, Ali
    Sauerborn, Rainer
    BMC HEALTH SERVICES RESEARCH, 2012, 12
  • [10] Household preferences and willingness to pay for health insurance in Kampala City: a discrete choice experiment
    Edward Kalyango
    Rornald Muhumuza Kananura
    Elizabeth Ekirapa Kiracho
    Cost Effectiveness and Resource Allocation, 19