Evidence map›Paper›PMID 36505535›Full record

ArticleJournal of family medicine and primary care2022

Developing an operational research model for strengthening policy and programs on prevention and control of hypertension in India.

Sonu Goel

Open access · goldAbstract readEditorial
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
0.3field-weighted citation impact, top 37% 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, 2 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

1 author at 1 institution in 3 countries.

Sonu GoelDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
University of Limerick · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is one of the significant risk factors for many noncommunicable diseases (NCDs) including cardiovascular diseases (CVDs), diabetes, stroke and chronic artery diseases. Despite the dismal scenario of CVDs in India, there is paucity of research in the field, which hampers effective decision making. In cognizance of the crucial role played by operational research (OR) in NCD policy design and program implementation, the Resource Center of Cardiovasuclar Health issued an open call for a manuscript writing program on hypertension using secondary data of National Family Health Survey-4. After thorough screening of the concept proposals of the applicants, 30 researchers were selected. Each of the 30 selected researchers further formed team of 3-7 researchers per team, thus having almost 150 + researchers on the board. Besides receiving the short workshops for the finalization of research question and manuscript writing, each team of researchers was assigned an OR mentor for guidance, review and finalization of the manuscript. There were two levels of peer review for each manuscript. In this first-of-its-operational research (OR) model on hypertension, we built the capacity of young researchers from various medical and research institutes of country in OR related to hypertension in India. The models' success is proved by its cost-effective approach and development of 30 high-quality research articles on hypertension. While we faced challenges in the process, several lessons were learned which will be instrumental in the future planning and implementation of such OR programs for other public health issues.

Indexed as

HypertensionNFHSoperational research model

Identifiers

PMID36505535
PMCPMC9730980
OpenAlexW4311284308

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.