Literature DB >> 28979068

Financial Protection in Health Insurance Schemes: A Comparative Analysis of Mediclaim Policy and CHAT Scheme in India.

Sukumar Vellakkal1.   

Abstract

This article analyzes the level of financial protection to low-income people during illness in 'private health insurance' and 'people's preferred health insurance'. In a hypothetical situation of being insured with both the pro-poor version of the 'Mediclaim policy' (private health insurance) and CHAT-'Choosing Health Plans All-Together'-scheme (people's preferred health insurance), this study analyzed the out-of-pocket-spending for health care incurred by persons per reported illness episodes in four select resource-poor locations in India. Three data sources were used: (a) household survey, (b) CHAT: a field-based experiment conducted in India to reveal people's preference for health insurance benefits and (c) the specification of conditions of Mediclaim policy. The study found, first, that the Mediclaim policy covers a small proportion (eight per cent) of the total reported illness episodes but CHAT scheme covers a large proportion (90 per cent) of illness episodes and, second, that the Mediclaim policy reimburses five per cent of the total health expenditure but CHAT scheme reimburses 37 per cent. The study concludes that private health insurance provides lower level of financial protection compared to 'people's preferred health insurance' and hence recommends that health insurance packages must be comprehensive and reflect community preference to make it attractive so that health insurance penetration can be increased.

Entities:  

Keywords:  CHAT scheme; Financial Protection; Health Expenditure; Health Insurance; Mediclaim Policy

Year:  2012        PMID: 28979068      PMCID: PMC5624482          DOI: 10.1177/097206341101400102

Source DB:  PubMed          Journal:  J Health Manag        ISSN: 0972-0634


  10 in total

1.  Assessing the impact of health plan choice.

Authors:  B S Schone; P F Cooper
Journal:  Health Aff (Millwood)       Date:  2001 Jan-Feb       Impact factor: 6.301

2.  Willingness to pay for rural health insurance through community participation in India.

Authors:  K Mathiyazhagan
Journal:  Int J Health Plann Manage       Date:  1998 Jan-Mar

3.  Enrollees choose priorities for Medicare.

Authors:  Marion Danis; Andrea K Biddle; Susan Dorr Goold
Journal:  Gerontologist       Date:  2004-02

4.  Understanding consumers' preferences and decision to enrol in community-based health insurance in rural West Africa.

Authors:  Manuela De Allegri; Mamadou Sanon; John Bridges; Rainer Sauerborn
Journal:  Health Policy       Date:  2005-06-08       Impact factor: 2.980

5.  Designing health plan benefits: a simulation exercise.

Authors:  Carole W Keefe; Susan D Goold
Journal:  Med Educ       Date:  2004-11       Impact factor: 6.251

6.  Choosing Healthplans All Together: a deliberative exercise for allocating limited health care resources.

Authors:  Susan Dorr Goold; Andrea K Biddle; Glenn Klipp; Charles N Hall; Marion Danis
Journal:  J Health Polit Policy Law       Date:  2005-08       Impact factor: 2.265

7.  The coverage priorities of disabled adult Medi-Cal beneficiaries.

Authors:  Marion Danis; Marjorie Ginsburg; Susan Dorr Goold
Journal:  J Health Care Poor Underserved       Date:  2006-08

8.  Willingness to pay for health insurance among rural and poor persons: field evidence from seven micro health insurance units in India.

Authors:  David Mark Dror; Ralf Radermacher; Ruth Koren
Journal:  Health Policy       Date:  2006-09-12       Impact factor: 2.980

9.  Insurance benefit preferences of the low-income uninsured.

Authors:  Marion Danis; Andrea K Biddle; Susan Dorr Goold
Journal:  J Gen Intern Med       Date:  2002-02       Impact factor: 5.128

10.  Health insurance benefit packages prioritized by low-income clients in India: three criteria to estimate effectiveness of choice.

Authors:  David Mark Dror; Ruth Koren; Alexander Ost; Erika Binnendijk; Sukumar Vellakkal; Marion Danis
Journal:  Soc Sci Med       Date:  2006-12-04       Impact factor: 4.634

  10 in total

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