Evidence map›Paper›PMID 25848319›Full record

ArticleHIV/AIDS (Auckland, N.Z.)2015

Health care coverage among long-distance truckers in India: an evaluation based on the Tanahashi model.

Varun Sharma, Niranjan Saggurti, Shalini Bharat

Abstract read
In one paragraph

Article in HIV/AIDS (Auckland, N.Z.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Systematic Review of Peer-Reviewed Literature on Global Condom Promotion Programs.International journal of environmental research and public health · 2020
    Pooled it
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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.

Varun SharmaSchool of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India;
Niranjan SaggurtiHIV AIDS Program, Population Council, New Delhi, India.
Shalini BharatSchool of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-distance truckers (LDTDs) are vulnerable to human immunodeficiency virus infection and other sexually transmitted infections due to the nature of their work, working environment, and frequent mobility. This paper examines and comments on the health care coverage provisioned under "Kavach" Project. Data from the Integrated Behavioural and Biological Survey, National Highway gathered from 2,066 LDTDs in Round 1 and 2,085 LDTDs in Round 2, who traveled in four extreme road corridors travelled by LDTDs in India, were used for analysis. Analysis reveals that service capacity in terms of socially marketed condoms per thousand LDTDs has increased from Round 1 to Round 2 (4,430 to 6,876, respectively). Accessibility coverage in terms of knowledge about the Khushi clinic has significantly decreased between Rounds 1 and 2 (60.9% to 54.6%; P<0.001). Acceptability coverage has increased between the two rounds (13.8% to 50.6%; P<0.001). Contact coverage has also increased between the rounds (12.7% to 22.3%; P<0.001). Effectiveness coverage for preventive and curative care has also increased significantly. This paper comments on the gaps in accessibility and acceptability of health care coverage and emphasizes the need for further studies to assess the contextual factors that influence the effectiveness and efficiency of interventions designed to address access barriers and to identify what combination of interventions may generate the best possible outcome.

Indexed as

HIVIndialong-distance truck driversmobilitynational highwaysTanahashi framework

Identifiers

PMID25848319
PMCPMC4376185

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.