Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Modeling time taken to HIV testing and uptake of test results: application of extended PWP model

Modeling time taken to HIV testing and uptake of test results: application of extended PWP model Improving HIV testing among the most at risk populations (MARP) is one of the first steps to achieve the Sustainable Development Goal target of ending AIDS by 2030. Factors affecting time taken to HIV testing and subsequent clinic visits to uptake the test result are important inputs for development of HIV prevention programmes. This study aims to develop multivariate statistical models to describe HIV testing behavior of MARP. HIV testing data of 5667 Female Sex Workers registered with the National HIV Prevention Programme in 10 districts of Sri Lanka during 2016 and 2017 were modelled using univariate and multivariate survival analysis techniques. Results showed that the Prentice, Williams & Peterson gap time model (PWPGTM), and all univariate Cox Proportional Hazard Models together generated consistent results. However, higher number of effects of the factors and interaction effects were detected in the PWPGTM compared to other models. Further, PWPGTM generated more precise estimates with lower standard errors. In all the models, most of the factors were identified as time dependent covariates. Study concludes that the extended PWPGTM is the more appropriate technique to model time taken to HIV testing and subsequent clinic visit to uptake of test results among MARP. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biostatistics & Epidemiology Taylor & Francis

Modeling time taken to HIV testing and uptake of test results: application of extended PWP model

Suranga, M. Suchira; Samita, S.
Biostatistics & Epidemiology , Volume 6 (1): 16 – Jan 2, 2022
Download PDF

Modeling time taken to HIV testing and uptake of test results: application of extended PWP model

Abstract

Improving HIV testing among the most at risk populations (MARP) is one of the first steps to achieve the Sustainable Development Goal target of ending AIDS by 2030. Factors affecting time taken to HIV testing and subsequent clinic visits to uptake the test result are important inputs for development of HIV prevention programmes. This study aims to develop multivariate statistical models to describe HIV testing behavior of MARP. HIV testing data of 5667 Female Sex Workers registered with the...
Loading next page...
 
/lp/taylor-francis/modeling-time-taken-to-hiv-testing-and-uptake-of-test-results-YrgbsePIkh
Publisher
Taylor & Francis
Copyright
© 2021 International Biometric Society – Chinese Region
ISSN
2470-9379
eISSN
2470-9360
DOI
10.1080/24709360.2021.2017637
Publisher site
See Article on Publisher Site

Abstract

Improving HIV testing among the most at risk populations (MARP) is one of the first steps to achieve the Sustainable Development Goal target of ending AIDS by 2030. Factors affecting time taken to HIV testing and subsequent clinic visits to uptake the test result are important inputs for development of HIV prevention programmes. This study aims to develop multivariate statistical models to describe HIV testing behavior of MARP. HIV testing data of 5667 Female Sex Workers registered with the National HIV Prevention Programme in 10 districts of Sri Lanka during 2016 and 2017 were modelled using univariate and multivariate survival analysis techniques. Results showed that the Prentice, Williams & Peterson gap time model (PWPGTM), and all univariate Cox Proportional Hazard Models together generated consistent results. However, higher number of effects of the factors and interaction effects were detected in the PWPGTM compared to other models. Further, PWPGTM generated more precise estimates with lower standard errors. In all the models, most of the factors were identified as time dependent covariates. Study concludes that the extended PWPGTM is the more appropriate technique to model time taken to HIV testing and subsequent clinic visit to uptake of test results among MARP.

Journal

Biostatistics & Epidemiology – Taylor & Francis

Published: Jan 2, 2022

Keywords: HIV testing; multiple ordered events; PWP model; time-dependent covariates; multivariate survival model

References

  • A rapid review of rapid HIV antibody tests
  • Four Models of HIV counseling and testing: utilization and test results in South Africa
  • Modeling the rate of HIV testing from repeated binary data amidst potential never-testers
  • Factors associated with clinic escorts in peer-led HIV prevention interventions for men who have sex
  • Time taken to escort men who have sex with men (MSM) for HIV testing in the peer group interventions in Sri Lanka
  • Appraisal of several methods to model time to multiple events per subject: modelling time to hospitalizations and death
  • Modelling recurrent events: a tutorial for analysis in epidemiology
  • Cox’s regression model for counting processes: a large sample study
  • Regression analysis of multivariate incomplete failure time data by modeling marginal distributions
  • Regression analysis of multivariate failure time data
  • Identification of risk factors for hospital admission using multiple-failure survival models: a toolkit for researchers
  • Modeling the recurrent failure to thrive in less than two-year children: recurrent events survival analysis
  • Semi-parametric proportional intensity models robustness for right-censored recurrent failure data
  • Extension of cox model for non proportional hazard purpose