Evidence map›Paper›PMID 31602110›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Mixed-Method Analysis of Community Health Camps: A Novel Approach Beckoning.

Amit Bhondve, Barsha Pathak, Rukman M Manapurath

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

3 authors.

Amit BhondveDepartment of Community Medicine, Seth G.S. Medical College and K.E.M Hospital, Parel, Mumbai, Maharashtra, India.
Barsha PathakDepartment of Community Medicine, Seth G.S. Medical College and K.E.M Hospital, Parel, Mumbai, Maharashtra, India.
Rukman M ManapurathDepartment of Community Medicine, Seth G.S. Medical College and K.E.M Hospital, Parel, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn India, 60% of the population lack basic medical facilities, so health camps which provide short-term medical interventions for target communities may be beneficial. This study epidemiologically analyzes a health camp event in a rural area of Maharashtra to provide practical insights for organizing, planning, and implementation of health camps.

objectives1. Assess the sociodemographic profile and spectrum of morbidity of camp beneficiaries. 2. Assess expectations and satisfaction perceived by community and organizers from health camps. 3. Gain practical insights from the camp event to advocate participation-friendly policies in the community. MATERIALS AND

methodsThis is a cross-sectional mixed design study. Using qualitative method, a total of four focus group discussions (FGDs) were held with beneficiaries attending the camp and three in-depth interviews (IDIs) were held with camp organizers. A semi-structured questionnaire was used to interview 358 beneficiaries to be studied quantitatively.

resultsThe camp comprised 52.7% of males and 36.7% of females as beneficiaries. Observed were cases of acute disease (41.6% [

conclusionThe beneficiaries appreciated the event and expressed the requirement of organizing such camps in future again. The camp was need based as revealed by the organizers and beneficiaries. Few strategies in future can result in more participation-friendly health camps.

Indexed as

Community participationexpectationhealth campHealth for Allsatisfaction

Identifiers

PMID31602110
PMCPMC6776955

What OpenQuestion holds

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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.