Sensitivity analysis and methodological choices on health-related impoverishment estimates in Cambodia, 2009–17

Author:

Fernandes Antunes Adélio12ORCID,Jacobs BartORCID,Jithitikulchai Theepakorn345,Nagpal Somil56ORCID,Tong Kimsun57,Flessa Steffen1

Affiliation:

1. Department of Health Care Management, University of Greifswald, Friedrich-Loeffler-Strasse 70, Greifswald 17487, Germany

2. SOCIEUX+ EU Expertise on Social Protection, Labour and Employment, c/o Service Public Fédéral (SPF) Sécurité Sociale , Direction Générale Soutien et coordination politiques, Box 135, Boulevard du Jardin Botanique 50, Brussels 1000, Belgium

3. Faculty of Economics, Thammasat University (Tha Prachan Campus) , 2 Prachan Road, Phranakorn, Bangkok 10200, Thailand

4. Takemi Program in International Health, Harvard University, Harvard T.H. Chan School of Public Health , 677 Huntington Avenue, Boston, MA 02115, USA

5. The World Bank , 1818 H Street NW, Washington DC 20433, USA

6. World Bank Global Practice on Health, Nutrition and Population, East Asia and Pacific Region, The World Bank, 1818 H Street NW , Washington DC 20433, USA

7. World Bank Country Office, Exchange Square Building Floor 10th No. 19-20, Street 106, Sangkat Wat Phnom, Khan Daun Penh, Phnom Penh , Cambodia

Abstract

Abstract The measurement of health expenditure–related impoverishment as a proxy of financial risk protection is regularly used as an indicator of progress towards universal health coverage. However, the use of this indicator is greatly sensitive to analysts’ choices and data sources, making comparisons across time and countries challenging. We report the results of a sensitivity analysis of critical methodological choices in estimating health-related financial impoverishment in Cambodia from 2009 to 2017. We include the following in our analysis: the construction and data sources for consumption aggregates and out-of-pocket health estimates; the use of international and national absolute and relative poverty thresholds (defined by the share of household food consumption); time and regional price adjustment methods and index sources. Marginal changes substantially affected estimates at the national and regional levels among households. In most cases, the choice of poverty thresholds and temporal and regional deflators had a significant effect. An increase of 0.01 USD in the average daily per capita poverty line resulted in relative increases in impoverished incidences of 2.90–2.62% for 2009 and 3.06–2.95% for 2014. From 2013 onwards, estimates for impoverishment in rural areas based on median food consumption were often significantly higher than estimates using official poverty lines. The high sensitivity of the impoverishment indicator cautions against its use in assessing health-related financial hardship and protection, especially with low and absolute poverty lines. In the context of low- and middle-income countries, assessing financial hardship in relative terms by using measures such as catastrophic health expenditure, complemented with research on coping strategies and their socio-economic effects on households, may be more conducive to policymaking goals and progress towards achieving universal health coverage.

Funder

Global Network for Health Financing and Social Health Protection (P4H Network) through the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH

Publisher

Oxford University Press (OUP)

Subject

Health Policy

Reference63 articles.

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