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Understanding health outcome drivers among adherence club patients in clinics of Gauteng, South Africa: a structural equation modelling (SEM) approach

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dc.contributor.author Tshuma, Ndumiso
dc.contributor.author Ngbede, Elakpa D.
dc.contributor.author Nyengerai, Tawanda
dc.contributor.author Mtapuri, Oliver
dc.contributor.author Moyo, Sangiwe
dc.contributor.author Mphuthi, David D.
dc.contributor.author Nyasulu, Peter
dc.date.accessioned 2023-11-01T04:46:24Z
dc.date.available 2023-11-01T04:46:24Z
dc.date.issued 2023-10-05
dc.identifier.citation AIDS Research and Therapy. 2023 Oct 05;20(1):71
dc.identifier.uri https://doi.org/10.1186/s12981-023-00565-5
dc.identifier.uri https://hdl.handle.net/10500/30624
dc.description.abstract Abstract Background There has been growing interest in understanding the drivers of health outcomes, both in developed and developing countries. The drivers of health outcomes, on the other hand, are the factors that influence the likelihood of experiencing positive or negative health outcomes. Human Immunodeficiency Virus (HIV) continues to be a significant global public health challenge, with an estimated 38 million people living with the aim of this study was therefore to develop and empirically test a conceptual research model using SEM, aimed at explaining the magnitude of various factors influencing HIV and other health outcomes among patients attending Adherence Clubs. Method This was a cross sectional survey study design conducted in 16 health facilities in the City of Ekurhuleni in Gauteng Province, South Africa. A total of 730 adherence club patients were systematically sampled to participate in a closed ended questionnaire survey. The questionnaire was assessed by Cronbach's alpha coefficient for internal consistency. The proposed model was tested using structural equation modelling (AMOS software: ADC, Chicago, IL, USA). Results A total of 730 adherence club members participated in the study. Of these, 425 (58.2%) were female and 305 (41.8%) were male. The overall results indicated a good reliability of all the scale involved in this study as Cronbach alphas ranged from 0.706 to 0.874, and composite reliability from 0.735 to 0.874. The structural model showed that the constructs health seeking behavior (β = 0.267, p = 0.000), health care services (β = 0.416, p = 0.000), stigma and discrimination (β = 0.135, p = 0.022) significantly predicted health outcomes and explained 45% of its variance. The construct healthcare service was the highest predictor of health outcomes among patients in adherence clubs. Conclusion Patient health seeking behaviour, healthcare services, stigma and discrimination were associated with perceived health outcomes. Since adherence clubs have been found to have a significant impact in improving patient outcomes and quality of life, there is a need to ensure replication of this model.
dc.title Understanding health outcome drivers among adherence club patients in clinics of Gauteng, South Africa: a structural equation modelling (SEM) approach
dc.type Journal Article
dc.date.updated 2023-11-01T04:47:13Z
dc.language.rfc3066 en
dc.rights.holder BioMed Central Ltd., part of Springer Nature


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