Evidence map›Paper›PMID 33681005›Full record

ArticleJournal of family medicine and primary care2020

Colour coding-based client segmentation approach: A neglected yet powerful tool to tackle non communicable diseases in high burden and low resource setting countries- A primary care approach.

Sudip Bhattacharya, Om Prakash Bera, Dhananjay Kumar Singh, Md Mahbub Hossain, Shailesh Tripathi, Sandeep Boora, Amarjeet Singh

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2020. 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
0.2field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

7 authors at 5 institutions in 2 countries.

Sudip BhattacharyaDepartment of Community Medicine, Himalayan Institute of Medical Sciences, Dehradun, Uttarakhand, India.
Om Prakash BeraPrincipal Consultant (India), Cardiovascular Health, Global Health Advocacy Incubator, Texas, USA.
Dhananjay Kumar SinghDepartment of Community Medicine, Heritage Institute of Medical Sciences, Varanasi, Uttar Pradesh, India.
Md Mahbub HossainDepartment of Health Promotion and Community Health Sciences, School of Public Health, Texas A & M University, Texas, USA.
Shailesh TripathiDepartment of Health and Family Welfare, Uttar Pradesh, India.
Sandeep BooraResident, Department of Hospital Administration, AIIMS, New Delhi, India.
Amarjeet SinghDepartment of Community Medicine and School of Public Health, PGIMER, Chandigarh, India.
All India Institute of Medical Sciences · INInstitute of Medical Sciences · INPost Graduate Institute of Medical Education and Research · INSwami Rama Himalayan University · INTexas A&M Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health systems in low- and middle-income countries like India continue to struggle with the overwhelming burden of noncommunicable diseases (NCDs) alongside the coexistence of multiple medical conditions. Such cases are challenging to diagnose and treat, especially in places where electronic health records are not readily available. In such contexts, using colour coding system for recording health conditions may ensure optimal documentation, effective patient-provider communication, adherence to treatment and follow up, quality of health services, and an overall improvement in health systems performance for NCDs. Colour coding is a common tool used in several service industries including public health programmes locally and globally. Despite such promising aspects, colour coding is not widely used for NCDs in health services organizations, which necessitates a translation of evidence from other sectors and the adoption of innovative and evidence-based approaches to promote the use of colour coding for better addressing NCD epidemic.

Indexed as

Client segmentationcolour codingnon-communicable disease

Identifiers

PMID33681005
PMCPMC7928097
OpenAlexW3126084520

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.