Evidence map›Paper›PMID 38821871›Full record

ArticleGlobal health, science and practice2024

Learnings From the Implementation of an Electronic Human Resource Management System for the Health Workforce in Uttar Pradesh, India.

Sushant Jain, Vasanthakumar Namasivayam, Shivalingappa Halli, Shajy Isac, Marissa Becker, Mushahid Ali Khan, Vikas Gothalwal, James Blanchard, Pooja Pandey, Awadhesh Kumar Rawat and 1 more

Abstract read
In one paragraph

Article in Global health, science and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Sushant JainInstitute for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada. sushant.jain@ihat.in.
Vasanthakumar NamasivayamInstitute for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Shivalingappa HalliInstitute for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Shajy IsacInstitute for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Marissa BeckerInstitute for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Mushahid Ali KhanIndia Health Action Trust, Lucknow, Uttar Pradesh, India.
Vikas GothalwalInstitute for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
James BlanchardInstitute for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.
Pooja PandeyDepartment of Medical Health & Family Welfare, Government of Uttar Pradesh, India.
Awadhesh Kumar RawatNational Informatics Centre, Lucknow, Uttar Pradesh, India.
Ravi PrakashInstitute for Global Public Health, Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The state of Uttar Pradesh (UP), India, has one of the largest single public health systems globally, serving about 235 million people through more than 30,000 public health facilities with approximately 160,000 health personnel. Yet, the UP health system has a shortfall of public health facilities to meet the population's needs, a shortage of clinical and nonclinical health personnel, inequitable distribution of existing health personnel, and low utilization of public health facilities. A robust and effective electronic human resource management system (eHRMS) that provides real-time information about the lifecycle of all health professionals in UP may aid in improving the health workforce, resulting in better health services and improved health outcomes. The Government of UP rolled out Manav Sampada, a comprehensive eHRMS that complied with global norms and requirements. We describe the implementation of Manav Sampada at scale and elaborate on key learnings and adoption strategies. Manav Sampada was based on key principles of integration and data-sharing with other digital systems, included functional components, a minimum dataset, used a lifecycle-based approach, and a workflow-based system, all of which acted to improve human resource data quality. The eHRMS emerged as a valuable tool for key stakeholders in reviewing worker performance, identifying skill-building needs, and allocating resources for training, leading to improved availability and equity in the distribution of a few critical cadres. The eHRMS in UP is well positioned to become an integral part of the Ayushman Bharat Digital Mission, the backbone of India's integrated digital health infrastructure. Linking eHRMS to a planned beneficiary-centric unitized health service delivery system (capturing information at the individual level rather than the aggregate level) will enable the measurement of service delivery and quality, leading to improved workforce management.

Indexed as

Health WorkforceHealth PersonnelHumansIndia

Identifiers

PMID38821871
PMCPMC11216701

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.