Evidence map›Paper›PMID 37252596›Full record

ArticleCureus2023

Monitoring of Non-communicable Diseases in a Primary Healthcare Setting in India: A Quality Improvement Initiative.

Ankit Chandra, Ravneet Kaur, Mohan Bairwa, Sanjay Rai, Baridalyne Nongkynrih

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Ankit ChandraCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Ravneet KaurCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Mohan BairwaCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Sanjay RaiCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, IND.
Baridalyne NongkynrihCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, IND.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The majority of patients with non-communicable diseases (NCDs) seek care in a primary healthcare setting. There is a lack of effective monitoring of patients with NCD, which leads to poor disease control and an increase in morbidity and mortality. We wanted to explore the feasibility of maintaining patient health record and utilising it for disease monitoring in a primary healthcare setting. Therefore, we aimed to increase the availability of patient health records from 0% to 100% using the principles of quality improvement (QI) among patients with hypertension and/or diabetes within six weeks and to use these records for assessing the disease control status of patients through cohort monitoring approach. Methods This QI initiative was conducted at an urban health centre (UHC) located at Dakshinpuri, New Delhi. We specifically focused on two major NCDs: diabetes and hypertension. We formed a QI team and identified the gaps using fishbone analysis and a process flow diagram. We used the model for improvement and the Plan-Do-Study-Act (PDSA) framework. We conducted repeated rapid PDSA cycles for the designed intervention and monitored the change every week using a run chart. The data from the patient health record were entered into Microsoft Excel (Microsoft

Indexed as

control ratediabeteshypertensionncdqi study

Identifiers

PMID37252596
PMCPMC10224714
OpenAlexW4366998848

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.