TY - JOUR
T1 - Hardship financing of healthcare among rural poor in Orissa, India
AU - Binnendijk, Erika
AU - Koren, Ruth
AU - Dror, David M.
N1 - Funding Information:
The authors gratefully acknowledge funding support from the Netherlands Organization for Scientific Research (NWO), under WOTRO Integrated Programme grant No. W01.65.309.00. Additional funding for the household survey was obtained from the German Federal Ministry for Economic Cooperation and Development (through a contract between AWO International, Madhyam Foundation Orissa, and the Micro Insurance Academy New Delhi). The authors wish to thank Prof. Frans Rutten (Erasmus University Rotterdam) for reading the manuscript and offering helpful comments, and to Prof. P.R. Sodani (Indian Institute for Health Management Research-IIHMR, Jaipur, India) for his advice and support throughout the project. We benefited from logistical and research support from the Micro Insurance Academy, and from Madhyam Foundation Bhubaneswar, Orissa and its 11 affiliated NGOs (Parivartan, PUSPAC, SOMKS, SDS, ODC, Mahashakti Foundation, DAPTA, Lok Yojana, Sanginee, MVPS, DSS). Last but not least, we acknowledge all the respondents for their participation in the study. The sponsors had no influence or role in study design, in the collection, analysis and interpretation of data; in the writing of the article; and in the decision to submit the article for publication.
PY - 2012
Y1 - 2012
N2 - Background: This study examines health-related "hardship financing" in order to get better insights on how poor households finance their out-of-pocket healthcare costs. We define hardship financing as having to borrow money with interest or to sell assets to pay out-of-pocket healthcare costs. Methods. Using survey data of 5,383 low-income households in Orissa, one of the poorest states of India, we investigate factors influencing the risk of hardship financing with the use of a logistic regression. Results: Overall, about 25% of the households (that had any healthcare cost) reported hardship financing during the year preceding the survey. Among households that experienced a hospitalization, this percentage was nearly 40%, but even among households with outpatient or maternity-related care around 25% experienced hardship financing. Hardship financing is explained not merely by the wealth of the household (measured by assets) or how much is spent out-of-pocket on healthcare costs, but also by when the payment occurs, its frequency and its duration (e.g. more severe in cases of chronic illnesses). The location where a household resides remains a major predictor of the likelihood to have hardship financing despite all other household features included in the model. Conclusions: Rural poor households are subjected to considerable and protracted financial hardship due to the indirect and longer-term deleterious effects of how they cope with out-of-pocket healthcare costs. The social network that households can access influences exposure to hardship financing. Our findings point to the need to develop a policy solution that would limit that exposure both in quantum and in time. We therefore conclude that policy interventions aiming to ensure health-related financial protection would have to demonstrate that they have reduced the frequency and the volume of hardship financing.
AB - Background: This study examines health-related "hardship financing" in order to get better insights on how poor households finance their out-of-pocket healthcare costs. We define hardship financing as having to borrow money with interest or to sell assets to pay out-of-pocket healthcare costs. Methods. Using survey data of 5,383 low-income households in Orissa, one of the poorest states of India, we investigate factors influencing the risk of hardship financing with the use of a logistic regression. Results: Overall, about 25% of the households (that had any healthcare cost) reported hardship financing during the year preceding the survey. Among households that experienced a hospitalization, this percentage was nearly 40%, but even among households with outpatient or maternity-related care around 25% experienced hardship financing. Hardship financing is explained not merely by the wealth of the household (measured by assets) or how much is spent out-of-pocket on healthcare costs, but also by when the payment occurs, its frequency and its duration (e.g. more severe in cases of chronic illnesses). The location where a household resides remains a major predictor of the likelihood to have hardship financing despite all other household features included in the model. Conclusions: Rural poor households are subjected to considerable and protracted financial hardship due to the indirect and longer-term deleterious effects of how they cope with out-of-pocket healthcare costs. The social network that households can access influences exposure to hardship financing. Our findings point to the need to develop a policy solution that would limit that exposure both in quantum and in time. We therefore conclude that policy interventions aiming to ensure health-related financial protection would have to demonstrate that they have reduced the frequency and the volume of hardship financing.
UR - http://www.scopus.com/inward/record.url?scp=84856152912&partnerID=8YFLogxK
U2 - 10.1186/1472-6963-12-23
DO - 10.1186/1472-6963-12-23
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C2 - 22284934
AN - SCOPUS:84856152912
SN - 1472-6963
VL - 12
JO - BMC Health Services Research
JF - BMC Health Services Research
IS - 1
M1 - 23
ER -