Evidence map›Paper›PMID 33462775›Full record

ArticleApplied health economics and health policy2021

Translating Research to Policy: Setting Provider Payment Rates for Strategic Purchasing under India's National Publicly Financed Health Insurance Scheme.

Shankar Prinja, Maninder Pal Singh, Kavitha Rajsekar, Oshima Sachin, Praveen Gedam, Anu Nagar, Balram Bhargava, CHSI Study Group

Erratum issuedOpen access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Applied health economics and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
5.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 11 institutions in 1 country.

Shankar PrinjaDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Sector-12, Chandigarh, 160012, India. shankarprinja@gmail.com.ORCID http://orcid.org/0000-0001-7719-6986
Maninder Pal SinghDepartment of Community Medicine and School of Public Health, Postgraduate Institute of Medical Education and Research, Sector-12, Chandigarh, 160012, India.ORCID http://orcid.org/0000-0001-7396-1273
Kavitha RajsekarDepartment of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India.ORCID http://orcid.org/0000-0003-3042-8537
Oshima SachinDepartment of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India.ORCID http://orcid.org/0000-0002-0026-583X
Praveen GedamNational Health Authority, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
Anu NagarDepartment of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
Balram BhargavaDepartment of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
CHSI Study Group
Government of India · INIndira Gandhi Institute of Medical Sciences · INSardar Vallabhbhai National Institute of Technology Surat · INSMS Medical College · INVeer Surendra Sai Medical College and Hospital · INMadras Medical College · INGovernment Medical College · INPost Graduate Institute of Medical Education and Research · INInstitute of Post Graduate Medical Education and Research · INKing George's Medical University · INSri Venkateswara Medical College and Ruia Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2018, the Government of India launched Ayushman Bharat Pradhan Mantri-Jan Aarogya Yojana (AB PM-JAY), a large tax-funded health insurance scheme. In this paper, we present findings of the Costing of Health Services in India (CHSI) study, describe the process of use of cost evidence for price-setting under AB PM-JAY, and estimate its fiscal impact.

methodsReference costs were generated from the first phase of CHSI study, which sampled 11 tertiary public hospitals from 11 Indian states. Cost for Health Benefit Packages (HBPs) was estimated using mixed (top-down and bottom-up) micro-costing methods. The process adopted for price-setting under AB PM-JAY was observed. The cost of each HBP was compared with AB PM-JAY prices before and after the revision, and the budgetary impact of this revision in prices was estimated.

findingsFollowing the CHSI study evidence and price consultations, 61% of AB PM-JAY HBP prices were increased while 18% saw a decline in the prices. In absolute terms, the mean increase in HBP price was ₹14,000 (₹450-₹1,65,000) and a mean decline of ₹6,356 (₹200-₹74,500) was observed. Nearly 42% of the total HBPs, in 2018, had a price that was less than 50% of the true cost, which declined to 20% in 2019. The evidence-informed revision of HBP prices is estimated to have a minimal fiscal impact (0.7%) on the AB PM-JAY claims pay-out.

interpretationEvidence-informed price-setting helped to reduce wide disparities in cost and price, as well as aligning incentives towards broader health system goals. Such strategic purchasing and price-setting requires the creation of systems of generating evidence on the cost of health services. Further research is recommended to develop a cost-function to study changes in cost with variations in time, region, prices, skill-mix and other factors.

Indexed as

Insurance, HealthNational Health ProgramsDelivery of Health CareHealth ServicesHumansPolicy

Identifiers

PMID33462775
OpenAlexW3123389186

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.