Evidence map›Paper›PMID 31143753›Full record

ArticleJournal of family medicine and primary care2019

Strengthening primary health care through e-referral system.

Md Abu Bashar, Sudip Bhattacharya, Shailesh Tripathi, Neha Sharma, Amarjeet Singh

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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  15. Successes, weaknesses, and recommendations to strengthen primary health care: a scoping review.Archives of public health = Archives belges de sante publique · 2023
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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

5 authors at 4 institutions in 1 country.

Md Abu BasharDepartment of Community Medicine, PGIMER, Chandigarh, India.
Sudip BhattacharyaDepartment of Community Medicine, Himalayan Institute of Medical Sciences, Doiwala, Uttarakhand, India.
Shailesh TripathiVisiting Faculty, Lucknow University, Lucknow, Uttar Pradesh, India.
Neha SharmaDepartment of Community Medicine, Himalayan Institute of Medical Sciences, Doiwala, Uttarakhand, India.
Amarjeet SinghDepartment of Community Medicine, PGIMER, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · INInstitute of Medical Sciences · INSwami Rama Himalayan University · INUniversity of Lucknow · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Referral is a dynamic process, in which a health worker at one level of the health system, having insufficient resources (drugs, equipment, skills) to manage a clinical condition, seeks the help of a better or differently resourced facility at the same or higher level to assist in. Health care systems of every country are designed in such a way to encourage patients to first attempt to get care at the primary level and then to approach a higher level of care according to the need. This protocol minimizes the costs for the caretaker/patients. However, in most of the countries, patients often bypass primary care facilities and directly go to the higher center thereby, increasing the burden on higher level facilities, the picture is not very different in India also. Health care system in India is plugged by: overpopulation, lack of expert clinicians, skewed distribution of physicians, lack of motivation among existing health care personnel and an ineffective referral mechanism. Due to failure of conventional paper-based referral systems in our country, we can introduce an e-referral system in the era of internet. It is evident from our experiences, that this artificial intelligence enabled e-referral system has many advantages over the traditional paper-based referral system. It will aid health workers for timely management of cases. Most importantly, it will streamline the existing unorganized referral process. Although, for effective e-Referral system, there should be a collaborative platform where easy search and discovery for health care providers is possible and help in decision making. e- Referral should be incorporated in our health system to strengthen it by bridging the access gap may be through Public Private Partnership model.

Indexed as

Artificial intelligenceembedded technologye-referral systemprimary health

Identifiers

PMID31143753
PMCPMC6510071
OpenAlexW2942475754

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.