Evidence map›Paper›PMID 41689264›Full record

ArticleHealth policy and planning2026

Strengthening data-driven primary health care delivery in Rajasthan, India.

Saachi Dalal, Ruchit Nagar, Siraj Patwa, Hamid Abdullah, Jeffrey Borkan

Abstract read
In one paragraph

Article in Health policy and planning, 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
–field-weighted citation impact
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

5 authors.

Saachi DalalWarren Alpert Brown School of Medicine, Brown University, 222 Richmond St, Providence, RI 02903, USA.ORCID 0000-0003-0763-4973
Ruchit NagarYale New Haven Health, Yale University, 20 York St, New Haven, CT 06510, USA.
Siraj PatwaYale University, New Haven, CT 06520, USA.
Hamid AbdullahKhushi Baby, Udaipur, Rajasthan 313004, India.ORCID 0009-0004-4592-4060
Jeffrey BorkanWarren Alpert Brown School of Medicine, Brown University, 222 Richmond St, Providence, RI 02903, USA.ORCID 0000-0003-1385-4737

Funding

Emerging Infectious Disease Scholars at Brown UniversityR25AI140490 · NIAID · BROWN UNIVERSITY · PI Silvia Shinpei Chiang · 2018 to 2026
$3.0M
National Institute of Allergy and Infectious Diseases 2R25AI140490NIAID NIH HHS R25 AI140490NIH HHS
6 · The paper itself

Abstract

Digital health information systems have the potential to improve data-driven decision-making and strengthen primary health care delivery in low- and middle-income countries (LMICs). This study examines Rajasthan's public health information systems with an aim to describe data processes and identify key barriers and opportunities for improvement. Using a qualitative approach, we conducted in-depth interviews with 39 stakeholders, including frontline health workers and state health officials. Our findings highlight inefficiencies in parallel paper and digital reporting systems, leading to high health worker burden, redundant data entry, delays in patient care, and poor data accountability. While digital platforms have improved data accessibility and care coordination, challenges such as poor design, interoperability, IT infrastructure limitations, and gaps in digital literacy remain. Lessons from successful digital health implementations in other LMICs suggest that integrated, human-centered, and interoperable systems are critical for sustainable digital transformation. We propose a "5I Framework" for policymakers to streamline Rajasthan's digital health ecosystem: (i) Integrated platforms, (ii) Implementable systems co-designed with health workers, (iii) Ink-free transitions away from paper-based systems, (iv) Insights from geospatial and real-time data, and (v) Incentives aligned with workforce needs. Strengthening Rajasthan's digital health systems through these strategies can enhance service delivery, improve public health outcomes, and serve as a model for other LMICs.

Indexed as

Delivery of Health CareHealth Information SystemsPrimary Health CareDeveloping CountriesDigital HealthHumansIndiaInterviews as TopicPublic Health InfrastructureQualitative Researchcommunity health workershealth information systemsIndiaqualitative analysisRajasthan

Identifiers

PMID41689264
PMCPMC13678742

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.