The impoverishing effect of healthcare payments in India and the role of health microinsurance
Tuesday, July 6th, 2010While the microinsurance sector in India, the global laboratory of microinsurance, seems to be maturing gradually, important players in the sector that are driving this beast need to be more mindful of what it is leaving in its wake and where it is headed. Governments, practitioners and researchers need to take a more informed view and persist in the feedback-innovation-improvisation loop that has been the hallmark of the microfinance revolution. This article aims to juxtapose the trends in the healthcare space and findings from a recent study by Berman et. al.1 and form the opinion on the state of health microinsurance (HMI) in India.
While more than 80% of healthcare expenditure in India is funneled into the private provider system, more than 90% of this spending is out-of-pocket2. The poor with their low and irregular incomes may be unable to face health shocks and therefore health microinsurance becomes important. Literature documents that the poor recognize these health risks and employ costly3 risk-management techniques like selling of assets/spending from savings/borrowing etc. This translates into a substantial latent demand for health insurance if it can successfully reduce the cost of health-risk management4.
The paper by Berman et. al. corroborates the evidence on these trends. It notes that while India records among the highest private to public expenditure on healthcare ratio (81%), around 94% of it is out-of-pocket expense. The paper also recognises that the poor employ “Financial Coping Measures” such as investing in highly liquid assets, dis-saving etc. to deal with health shocks. While the earlier papers do not consider this possibility and consequently produce biased results, this paper provides corrected numbers on the effect of healthcare payments on impoverishment using the NSSO 2004 morbidity and healthcare data5.
The enormity of the healthcare problem in India is borne out by the following results from the study. Data suggests that around 6.2% of the total households in the sample fall BPL as a result of healthcare expenditure in 2004. The percentages were 6.6% in the rural and 5% in the urban areas. It also found that around 1.3% of the households dropped BPL due to in-patient care costs while the majority 4.9% dropped BPL due to the smaller but more frequent out-patient care costs.
These results obtained on the effect of out-patient care costs deserve special consideration from the sector. The authors report that out of the 11.98 million impoverished households, a total of 9.42 million were impoverished due to out-patient healthcare costs and only 2.46
Million due to in-patient costs. This exposes a large gap in the microinsurance safety net that the various systems in India and those around the world are trying to create. Other studies by Dror (2008), and Wagstaff & Doorslaer (2003) report similar findings from India and other countries where out-patient expenditure is more impoverishing that in-patient expenditure.
If one takes at a look at the microinsurance landscape in the country, one finds that not only the majority but also the most important HMI programmes like the Government of India run universal health insurance plan, Rashtriya Swasthya Beema Yojana, and the popular Government of Andhra Pradesh programme Arogyasri essentially cover only in-patient healthcare costs for the poor. It is not surprising then, that this study finds the effect of the existing insurance schemes as a “financial coping mechanism” to be insignificant.
However, CIRM having recognized this lacunae very early and as an important stakeholder in the microinsurance design and innovation research at the national and global stages has been working on this issue for some time now. The centre has been exploring various designs and leveraging different philosophies to attain the best mix of attributes that can be scaled/replicated to bridge this gap.
At present, the centre is running three design and research projects that aim to provide solutions to deliver outpatient healthcare to the poor. These are:
- Insuring Primary Care – CARE Foundation, Yavatmal, Maharashtra.
In a model where the service provider also plays the insurer, this product leverages direct community support along with technology to bring to-the-doorstep consultation, diagnosis and medicine to rural households in need of out-patient care. The project aims at measuring the impact of preventive and promotional interventions on health outcomes and expenditure.
- Comprehensive Health Care – FEM and Equitas, Chennai, Tamil Nadu.
Delivered through an MFI, the product has at the backend a layered financial design to provide comprehensive in-patient and out-patient cover for the urban poor. This model tries to bundle existing state government insurance schemes to increase the cover while keeping the premiums low.
- Outpatient Counseling – Calcutta Kids and United India Insurance, Howrah, West Bengal.
This project attempts to validate if the provision of add-on services to insurance, such as out-patient counseling affects the renewal rates of an insurance product. On the delivery side, the product provides the insured assistance in accessing healthcare, regular health check-ups and follow-ups after diagnosis.
These projects and many more such product design and delivery innovations happening around the world aspire to tackle the problem of providing out-patient healthcare to low-income households. These are important programmes that need promotion, funding and most importantly rigorous evaluation.
While the in-patient products that have been making some headway deserve all the attention that they have been getting, the out-patient healthcare costs of a low-income household can only be ignored at the cost of terrible results. Not only is out-patient healthcare so important because of the strong impoverishing effect of these health shocks, it is all the more necessary because prevention needs to precede cure to create better health outcomes across the low-income populations.
1 ”The Impoverishing Effect of Healthcare Payments in India: New Methodology and Findings”; Economic and Political Weekly; Volume 45, Number 16, April 17-23, 2010.
2 WHO 2008
3 Jutting, 2004
4 Microinsurance Center, 2007 report suggests that HMI is one of the most sought after MI products.
5 Frequently the data used for earlier papers has been the NSSO consumption data which measures the healthcare expenditure as a part of household consumption which results in under-estimation of the impoverishing effect of healthcare expenditure.
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