| Title |
State health insurance and out-of-pocket health expenditures in Andhra Pradesh, India
|
|---|---|
| Published in |
International Journal of Health Economics and Management, July 2012
|
| DOI | 10.1007/s10754-012-9110-5 |
| Pubmed ID | |
| Authors |
Victoria Y. Fan, Anup Karan, Ajay Mahal |
| Abstract |
In 2007 the state of Andhra Pradesh in southern India began rolling out Aarogyasri health insurance to reduce catastrophic health expenditures in households 'below the poverty line'. We exploit variation in program roll-out over time and districts to evaluate the impacts of the scheme using difference-in-differences. Our results suggest that within the first nine months of implementation Phase I of Aarogyasri significantly reduced out-of-pocket inpatient expenditures and, to a lesser extent, outpatient expenditures. These results are robust to checks using quantile regression and matching methods. No clear effects on catastrophic health expenditures or medical impoverishment are seen. Aarogyasri is not benefiting scheduled caste and scheduled tribe households as much as the rest of the population. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Mexico | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 1% |
| Brazil | 2 | 1% |
| Netherlands | 1 | <1% |
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 153 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 17% |
| Student > Ph. D. Student | 25 | 16% |
| Researcher | 24 | 15% |
| Student > Postgraduate | 12 | 7% |
| Student > Doctoral Student | 7 | 4% |
| Other | 25 | 16% |
| Unknown | 41 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 37 | 23% |
| Medicine and Dentistry | 34 | 21% |
| Social Sciences | 17 | 11% |
| Nursing and Health Professions | 11 | 7% |
| Business, Management and Accounting | 6 | 4% |
| Other | 13 | 8% |
| Unknown | 43 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 November 2022.
All research outputs
#846,434
of 25,373,627 outputs
Outputs from International Journal of Health Economics and Management
#4
of 274 outputs
Outputs of similar age
#4,297
of 177,697 outputs
Outputs of similar age from International Journal of Health Economics and Management
#1
of 1 outputs
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So far Altmetric has tracked 274 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 98% of its peers.
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