Evidence map›Paper›PMID 37767424›Full record

ArticleJournal of family medicine and primary care2023

Defeating diabetes in the desert: A community-based mHealth diabetes screening intervention in Jodhpur Rajasthan.

Nitin K Joshi, Vikas Arora, Anil Purohit, Abhishek Lohra, Vibha Joshi, Ting Shih, Jagdish Harsh

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Nitin K JoshiSchool of Public Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Vikas AroraJodhpur School of Public Health, Jodhpur, Rajasthan, India.
Anil PurohitJodhpur School of Public Health, Jodhpur, Rajasthan, India.
Abhishek LohraJodhpur School of Public Health, Jodhpur, Rajasthan, India.
Vibha JoshiSchool of Public Health, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Ting ShihCEO, Click Medix, Maryland, United States.
Jagdish HarshCEO, Mobiloitte Technologies, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There is a paucity of demonstrated models for mHealth-based diabetes screening and coordinated care in India, especially in western Rajasthan, which is the part of Thar desert. Materials and Methods: JSPH collaboratively developed and implemented an easy-to-use, noninvasive, mobile phone-based screening interview, to identify adults at high risk for diabetes. The high risk for diabetes was defined using multiple clinical and epidemiologic criteria, all based on the evidence for India and globally. Since participants above 35 years or older were only considered in the screening, the application was designed to categorize the participants as high and low risk. Results: Out of 4000 screened participants, the percentage of males and females were 51% and 50%, respectively. Participants found to be at high risk and low risk were Conclusions: JSPH mHealth application provided a novel noninvasive way to better identify those at high diabetes risk in the community and demonstrated how to optimize the use of mobile health methods in diabetes prevention and care services.

Indexed as

Community health workersdiabetesmobile applicationsmobile health

Identifiers

PMID37767424
PMCPMC10521845

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.