Evidence map›Paper›PMID 36505522›Full record

ArticleJournal of family medicine and primary care2022

SPARSH electronic sub-health centers (e-SHCs) - A model of nurse-run SHCs supported by general practitioners through telemedicine.

Kallol Roy, Bhavin Dutt, Jeet M Patel, Shyamsundar J Raithatha

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. 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. Article
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

4 authors.

Kallol RoyExtension Programmes Department, Bhaikaka University, Anand, Gujarat, India.
Bhavin DuttStudent, Master of Health Administration, Indian Institute of Public Health, Gandhinagar, Gujarat, India.
Jeet M PatelExtension Programmes Department, Bhaikaka University, Anand, Gujarat, India.
Shyamsundar J RaithathaExtension Programmes Department, Bhaikaka University, Anand, Gujarat, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The primary health care services in India suffer from inconsistent availability of providers, lack of quality, poor availability of medicines and diagnostics, and a poorly functioning referral linkage. A multi-pronged approach is required to address these issues. Methods: We describe here a model of electronic sub-health centers (e-SHCs) managed by trained nurses supported by a general practitioner over telemedicine. The e-SHCs are expected to meet two objectives - 1) to create a point of comprehensive primary health care delivery at an affordable cost and 2) to create a referral support system backed by information technology and physical movement. Results: The model is described in nine sections - service delivery framework, human resources, diagnostics, infrastructure, quality improvement, health management information system, materials management, financing, and branding. It is a video-based real-time (synchronous) health worker to the registered medical practitioner telemedicine facility. The model has been compared with five other telemedicine and five other tele-rehabilitation models. Conclusion: Although there are inherent challenges to operationalize this model, it also presents a unique opportunity of testing an innovative approach of providing quality primary health care at an affordable cost. The process will generate learnings for addressing the primary care health care delivery gaps in the country.

Indexed as

Nurse-run clinicsrural healthsub-health centertelemedicine

Identifiers

PMID36505522
PMCPMC9731088

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.