Evidence map›Paper›PMID 28645984›Full record

ArticleBMJ open2017

Facilitators and barriers to participation of private sector health facilities in government-led schemes for maternity services in India: a qualitative study.

Vikas Yadav, Somesh Kumar, Sudharsanam Balasubramaniam, Ashish Srivastava, Suranjeen Pallipamula, Parvez Memon, Dinesh Singh, Saurabh Bhargava, Greeshma Ann Sunil, Bulbul Sood

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  16. Strategic Integration of Artificial Intelligence in Public Health System: Direction Toward a Paradigm Shift.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
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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

10 authors at 1 institution in 1 country.

Vikas YadavJhpiego - an affiliate of Johns Hopkins University, New Delhi, India.
Somesh KumarJhpiego - an affiliate of Johns Hopkins University, New Delhi, India.
Sudharsanam BalasubramaniamJhpiego - an affiliate of Johns Hopkins University, New Delhi, India.
Ashish SrivastavaJhpiego - an affiliate of Johns Hopkins University, New Delhi, India.ORCID 0000-0003-3100-3581
Suranjeen PallipamulaJhpiego - an affiliate of Johns Hopkins University, Ranchi, Jharkhand.
Parvez MemonJhpiego - an affiliate of Johns Hopkins University, Lucknow, UP.
Dinesh SinghJhpiego - an affiliate of Johns Hopkins University, Ranchi, Jharkhand.
Saurabh BhargavaJhpiego - an affiliate of Johns Hopkins University, New Delhi, India.
Greeshma Ann SunilJhpiego - an affiliate of Johns Hopkins University, New Delhi, India.
Bulbul SoodJhpiego - an affiliate of Johns Hopkins University, New Delhi, India.
Johns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDespite provision of accreditation of private sector health providers in government-led schemes for maternity services in India, their participation has been low. This has led to an underutilisation of their presence, resources and expertise for providing quality maternal and newborn health services. This study explores the perception of various stakeholders on expectations, benefits, barriers and facilitators to private sector participation in government-led schemes-specifically Janani Suraksha Yojana (JSY)-for maternity service delivery.

designNarrative-based qualitative study. Face-to-face in-depth interviews were conducted with study participants. The interviews were transcribed, translated and analysed using a reflexive and inductive approach to allow codes, categories and themes to emerge from within the data.

settingPrivate obstetricians, government health officials and FOGSI (Federation of Obstetrics and Gynaecological Societies of India) members, Jharkhand and Uttar Pradesh, India.

participantsEighteen purposefully selected private obstetricians from 9 cities across states of Uttar Pradesh and Jharkhand, 11 government health officials and 2 FOGSI members.

resultsThe major factors serving as barriers to participation of private practitioners in JSY-which emerged on thematic analysis-were low reimbursement amounts, delayed reimbursements, process of interaction with the government and administrative issues, previous experiences and trust deficit, lack of clarity on the accreditation process and patient-level barriers. On the other hand, factors which were facilitators to participation of private practitioners were ease of process, better communication, branding, motivation of increasing clientele as well as satisfaction of doing social service.

conclusionFactors such as financial processes and administrative delays, mistrust between the stakeholders, ambiguity in processes, lack of transparency and lack of ease in the process of empanelment of private sector are hindering effective public-private partnerships under JSY. Simplifying and strengthening the processes, communication strategies and branding can help revitalise it.

Indexed as

Attitude of Health PersonnelPrivate SectorPublic-Private Sector PartnershipsCommunicationFemaleGovernmentHealth Services AccessibilityHumansIndiaInterviews as TopicMaternal Health ServicesPregnancyProgram EvaluationQualitative ResearchSocioeconomic FactorsaccreditationIndiaJanani Suraksha Yojanamaternal healthprivate sectorPublic-private partnership

Identifiers

PMID28645984
PMCPMC5541501
OpenAlexW2635820637

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.