Evidence map›Paper›PMID 42152447›Full record

Observational studyBMJ open2026

Do publicly supported generic pharmacies improve financial risk protection? Findings from a nationally representative cross-sectional survey in India.

Neha Purohit, Aarti Goyal, Gaurav Jyani, Biju Soman, Sitanshu Sekhar Kar, Ramesh Verma, Kuldeep Singh, Sandra Albert, Prakash Patel, Saroj Kumar Rana and 3 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Neha PurohitDepartment of Community Medicine and School of Public Health, PGIMER, Chandigarh, India.
Aarti GoyalDepartment of Community Medicine and School of Public Health, PGIMER, Chandigarh, India.
Gaurav JyaniDepartment of Community Medicine and School of Public Health, PGIMER, Chandigarh, India.ORCID http://orcid.org/0000-0003-3787-2446
Biju SomanAchutha Menon Centre for Health Sciences Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.ORCID http://orcid.org/0000-0003-0748-0839
Sitanshu Sekhar KarDepartment of Preventive and Social Medicine, JIPMER, Puducherry, India.
Ramesh VermaDepartment of Community Medicine, PGIMS, Rohtak, Haryana, India.
Kuldeep SinghDepartment of Pediatrics, AIIMS, Jodhpur, Rajasthan, India.
Sandra AlbertIndian Institute of Public Health Shillong, Shillong, Meghalaya, India.
Prakash PatelDepartment of Community Medicine, SMIMER, Gujarat, India.
Saroj Kumar RanaDepartment of Community Medicine and School of Public Health, PGIMER, Chandigarh, India.
Sanjay KumarDepartment of Community Medicine, IGIMS, Patna, Bihar, India.
Sashi Bushan BiswalDepartment of Pharmacology, Veer Surendra Sai Institute of Medical Sciences and Research, Burla, Odisha, India.
Shankar PrinjaDepartment of Community Medicine and School of Public Health, PGIMER, Chandigarh, India shankarprinja@gmail.com.ORCID http://orcid.org/0000-0001-7719-6986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe Government of India launched the

designA cross-sectional observational study was conducted across nine Indian states in 2022-2023.

settingOutpatient (OPD) and inpatient (IPD) departments of secondary and tertiary government hospitals, private pharmacies and JAKs in 18 districts of India

participantsA total of 10 336 patients were recruited from OPD (n=2881) and IPD (n=1009) departments of government hospitals as well as pharmacy settings (n=6446). Data on sociodemographics, disease severity, number of generic prescriptions, source of acquiring medicines and medicine-related OOPE were collected through semistructured interviews and periodic follow-ups. PRIMARY AND SECONDARY OUTCOMES: Primary outcomes included mean OOPE on medicines, incidence of CHE (≥40% of non-food consumption expenditure on medicines), IR among JAK and non-JAK users were the primary outcomes of the study. Secondary outcomes comprised awareness of JAKs, generic prescribing rates in hospitals and the factors associated with OOPE, CHE and IR.

resultsPatients procuring medicines exclusively from JAKs reported the lower mean OOPE (OPD: ₹172; IPD: ₹275; pharmacy: ₹307), compared with significantly higher spending at private pharmacies (OPD: ₹1085; IPD: ₹3165; pharmacy: ₹1031). After adjusting for covariates, OOPE among exclusive JAK users was significantly lower relative to private pharmacy users by 60.6%-89.3%. Furthermore, matched analysis confirmed 42% lower expenses, compared with private pharmacies. The likelihood of CHE was also significantly greater among private pharmacy users. However, utilisation of JAKs remained limited, mainly due to low awareness, perceived stock shortages and low rates of generic prescribing.

conclusionPMBJP is associated with significant reduction in OOPE and financial hardship, positioning it as an effective cost-containment intervention within India's universal health coverage framework. Strengthening supply chains, promoting generic prescribing and integrating JAKs with public facilities would further maximise its impact.

Indexed as

Drugs, GenericHealth ExpendituresPharmaciesAdultCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedDrugs, GenericHealth Care CostsHEALTH ECONOMICSHealth policyPUBLIC HEALTH

Identifiers

PMID42152447
PMCPMC13182323

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.