Evidence map›Paper›PMID 32670949›Full record

ArticleJournal of family medicine and primary care2020

Identifying health priorities among workers from occupational health clinic visit records: Experience from automobile industry in India.

Melur Sukumar Gautham, Banavaram Anniappan Arvind, Kupatira Kowshik, Banandur S Pradeep, Gopalkrishna Gururaj

Abstract 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
–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

1 citing paper in PubMed.

  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

5 authors.

Melur Sukumar GauthamDepartment of Epidemiology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India.
Banavaram Anniappan ArvindDepartment of Epidemiology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India.
Kupatira KowshikChief Medical Officer, TKML Pvt Ltd, Bangalore, Karnataka, India.
Banandur S PradeepDepartment of Epidemiology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India.
Gopalkrishna GururajDepartment of Epidemiology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextOccupational health surveillance in India, focused on notifiable diseases, relies heavily on periodic medical examination, and isolated surveys. The opportunities to identify changes in morbidity patterns utilizing data available in workplace on-site clinics is less explored in India context.

aimsPresent paper describes longitudinal assessment of morbidity patterns and trends among employees seeking care in occupation health clinic (OHC). The study also intends to explore associations between work department, clinic visits and morbidity pattern. MATERIALS AND

methodsRecord-based analysis was undertaken on data available (for the period 2010-2014) from two OHCs in a leading automobile industry in India. The doctor, examining every employee, documented the provisional diagnosis in specific software which in turn provides summary diagnosis based on affected body organ system as per ICD-10 categories. This information was used to assess the morbidity pattern and trend among workers. Chi-square test of significance and Extended Mantel-Haenszel chi square test was used assess the association and its linear trend.

resultsRespiratory, musculoskeletal and digestive system related diseases were the top three reasons for employees visit to OHC. The nature of morbidity varied across different departments in the industry. There was a significant increase in proportion of employees visiting OHC during 2010-2014.

conclusionA clinic visit record, with its own strengths and limitations, provides information on morbidity pattern and its trends among workers. Such information will help plan, implement and evaluate health preventive, promotive, and curative services.

Indexed as

EmployeesIndiamorbidity patternoccupational health centerstrends

Identifiers

PMID32670949
PMCPMC7346965

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.