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

Sharma V, Saggurti N, Bharat S - HIV AIDS (Auckl) (2015)

Bottom Line: 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).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.

View Article: PubMed Central - PubMed

Affiliation: School of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India;

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.

No MeSH data available.


Related in: MedlinePlus

Coverage curves for the provision of health care to LDTDs through the Kavach project. Coverage curves based on all LDTDs (A), and provision-specific coverage curves (B).Abbreviation: LDTDs, long-distance truckers.
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f1-hiv-7-083: Coverage curves for the provision of health care to LDTDs through the Kavach project. Coverage curves based on all LDTDs (A), and provision-specific coverage curves (B).Abbreviation: LDTDs, long-distance truckers.

Mentions: Tanahashi28 defined these stages/this coverage in such a way that there exists a certain gap between them. A large gap between adjacent pairs of coverage measures shows that, for a proportion of the target population, service provisioning is not meeting their needs. For example, all those who have access to service have not accepted the service, and all those who have accepted the service have not utilized the service. The large differences exhibit the issues in service provision to LDTDs, and show a sharp shift in the operation/coverage curve to the left. Figure 1A and B highlight the shape of the operation/coverage curve.


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

Sharma V, Saggurti N, Bharat S - HIV AIDS (Auckl) (2015)

Coverage curves for the provision of health care to LDTDs through the Kavach project. Coverage curves based on all LDTDs (A), and provision-specific coverage curves (B).Abbreviation: LDTDs, long-distance truckers.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4376185&req=5

f1-hiv-7-083: Coverage curves for the provision of health care to LDTDs through the Kavach project. Coverage curves based on all LDTDs (A), and provision-specific coverage curves (B).Abbreviation: LDTDs, long-distance truckers.
Mentions: Tanahashi28 defined these stages/this coverage in such a way that there exists a certain gap between them. A large gap between adjacent pairs of coverage measures shows that, for a proportion of the target population, service provisioning is not meeting their needs. For example, all those who have access to service have not accepted the service, and all those who have accepted the service have not utilized the service. The large differences exhibit the issues in service provision to LDTDs, and show a sharp shift in the operation/coverage curve to the left. Figure 1A and B highlight the shape of the operation/coverage curve.

Bottom Line: 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).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.

View Article: PubMed Central - PubMed

Affiliation: School of Health Systems Studies, Tata Institute of Social Sciences, Mumbai, India;

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.

No MeSH data available.


Related in: MedlinePlus