The Impact of Company-Level ART Provision to a Mining Workforce in South Africa: A Cost–Benefit Analysis
Identifieur interne : 001350 ( Main/Exploration ); précédent : 001349; suivant : 001351The Impact of Company-Level ART Provision to a Mining Workforce in South Africa: A Cost–Benefit Analysis
Auteurs : Gesine Meyer-Rath [Royaume-Uni, États-Unis, Afrique du Sud] ; Jan Pienaar [Afrique du Sud] ; Brian Brink [Afrique du Sud] ; Andrew Van Zyl [Afrique du Sud] ; Debbie Muirhead [Afrique du Sud] ; Alison Grant [Royaume-Uni] ; Gavin Churchyard [Afrique du Sud, Royaume-Uni] ; Charlotte Watts [Royaume-Uni] ; Peter Vickerman [Royaume-Uni]Source :
- PLoS Medicine [ 1549-1277 ] ; 2015.
Abstract
HIV impacts heavily on the operating costs of companies in sub-Saharan Africa, with many companies now providing antiretroviral therapy (ART) programmes in the workplace. A full cost–benefit analysis of workplace ART provision has not been conducted using primary data. We developed a dynamic health-state transition model to estimate the economic impact of HIV and the cost–benefit of ART provision in a mining company in South Africa between 2003 and 2022.
A dynamic health-state transition model, called the Workplace Impact Model (WIM), was parameterised with workplace data on workforce size, composition, turnover, HIV incidence, and CD4 cell count development. Bottom-up cost analyses from the employer perspective supplied data on inpatient and outpatient resource utilisation and the costs of absenteeism and replacement of sick workers. The model was fitted to workforce HIV prevalence and separation data while incorporating parameter uncertainty; univariate sensitivity analyses were used to assess the robustness of the model findings. As ART coverage increases from 10% to 97% of eligible employees, increases in survival and retention of HIV-positive employees and associated reductions in absenteeism and benefit payments lead to cost savings compared to a scenario of no treatment provision, with the annual cost of HIV to the company decreasing by 5% (90% credibility interval [CrI] 2%–8%) and the mean cost per HIV-positive employee decreasing by 14% (90% CrI 7%–19%) by 2022. This translates into an average saving of US$950,215 (90% CrI US$220,879–US$1.6 million) per year; 80% of these cost savings are due to reductions in benefit payments and inpatient care costs. Although findings are sensitive to assumptions regarding incidence and absenteeism, ART is cost-saving under considerable parameter uncertainty and in all tested scenarios, including when prevalence is reduced to 1%—except when no benefits were paid out to employees leaving the workforce and when absenteeism rates were half of what data suggested. Scaling up ART further through a universal test and treat strategy doubles savings; incorporating ART for family members reduces savings but is still marginally cost-saving compared to no treatment. Our analysis was limited to the direct cost of HIV to companies and did not examine the impact of HIV prevention policies on the miners or their families, and a few model inputs were based on limited data, though in sensitivity analysis our results were found to be robust to changes to these inputs along plausible ranges.
Workplace ART provision can be cost-saving for companies in high HIV prevalence settings due to reductions in healthcare costs, absenteeism, and staff turnover. Company-sponsored HIV counselling and voluntary testing with ensuing treatment of all HIV-positive employees and family members should be implemented universally at workplaces in countries with high HIV prevalence.
Url:
DOI: 10.1371/journal.pmed.1001869
PubMed: 26327271
PubMed Central: 4556678
Affiliations:
- Afrique du Sud, Royaume-Uni, États-Unis
- Angleterre, Gauteng, Grand Londres, Massachusetts
- Johannesbourg, Londres
- Université du Witwatersrand
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><sec id="sec001"><title>Background</title>
<p>HIV impacts heavily on the operating costs of companies in sub-Saharan Africa, with many companies now providing antiretroviral therapy (ART) programmes in the workplace. A full cost–benefit analysis of workplace ART provision has not been conducted using primary data. We developed a dynamic health-state transition model to estimate the economic impact of HIV and the cost–benefit of ART provision in a mining company in South Africa between 2003 and 2022.</p>
</sec>
<sec id="sec002"><title>Methods and Findings</title>
<p>A dynamic health-state transition model, called the Workplace Impact Model (WIM), was parameterised with workplace data on workforce size, composition, turnover, HIV incidence, and CD4 cell count development. Bottom-up cost analyses from the employer perspective supplied data on inpatient and outpatient resource utilisation and the costs of absenteeism and replacement of sick workers. The model was fitted to workforce HIV prevalence and separation data while incorporating parameter uncertainty; univariate sensitivity analyses were used to assess the robustness of the model findings. As ART coverage increases from 10% to 97% of eligible employees, increases in survival and retention of HIV-positive employees and associated reductions in absenteeism and benefit payments lead to cost savings compared to a scenario of no treatment provision, with the annual cost of HIV to the company decreasing by 5% (90% credibility interval [CrI] 2%–8%) and the mean cost per HIV-positive employee decreasing by 14% (90% CrI 7%–19%) by 2022. This translates into an average saving of US$950,215 (90% CrI US$220,879–US$1.6 million) per year; 80% of these cost savings are due to reductions in benefit payments and inpatient care costs. Although findings are sensitive to assumptions regarding incidence and absenteeism, ART is cost-saving under considerable parameter uncertainty and in all tested scenarios, including when prevalence is reduced to 1%—except when no benefits were paid out to employees leaving the workforce and when absenteeism rates were half of what data suggested. Scaling up ART further through a universal test and treat strategy doubles savings; incorporating ART for family members reduces savings but is still marginally cost-saving compared to no treatment. Our analysis was limited to the direct cost of HIV to companies and did not examine the impact of HIV prevention policies on the miners or their families, and a few model inputs were based on limited data, though in sensitivity analysis our results were found to be robust to changes to these inputs along plausible ranges.</p>
</sec>
<sec id="sec003"><title>Conclusions</title>
<p>Workplace ART provision can be cost-saving for companies in high HIV prevalence settings due to reductions in healthcare costs, absenteeism, and staff turnover. Company-sponsored HIV counselling and voluntary testing with ensuing treatment of all HIV-positive employees and family members should be implemented universally at workplaces in countries with high HIV prevalence.</p>
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<li>Royaume-Uni</li>
<li>États-Unis</li>
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<region><li>Angleterre</li>
<li>Gauteng</li>
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<tree><country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Meyer Rath, Gesine" sort="Meyer Rath, Gesine" uniqKey="Meyer Rath G" first="Gesine" last="Meyer-Rath">Gesine Meyer-Rath</name>
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<name sortKey="Churchyard, Gavin" sort="Churchyard, Gavin" uniqKey="Churchyard G" first="Gavin" last="Churchyard">Gavin Churchyard</name>
<name sortKey="Grant, Alison" sort="Grant, Alison" uniqKey="Grant A" first="Alison" last="Grant">Alison Grant</name>
<name sortKey="Vickerman, Peter" sort="Vickerman, Peter" uniqKey="Vickerman P" first="Peter" last="Vickerman">Peter Vickerman</name>
<name sortKey="Watts, Charlotte" sort="Watts, Charlotte" uniqKey="Watts C" first="Charlotte" last="Watts">Charlotte Watts</name>
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<country name="États-Unis"><region name="Massachusetts"><name sortKey="Meyer Rath, Gesine" sort="Meyer Rath, Gesine" uniqKey="Meyer Rath G" first="Gesine" last="Meyer-Rath">Gesine Meyer-Rath</name>
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<country name="Afrique du Sud"><region name="Gauteng"><name sortKey="Meyer Rath, Gesine" sort="Meyer Rath, Gesine" uniqKey="Meyer Rath G" first="Gesine" last="Meyer-Rath">Gesine Meyer-Rath</name>
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<name sortKey="Brink, Brian" sort="Brink, Brian" uniqKey="Brink B" first="Brian" last="Brink">Brian Brink</name>
<name sortKey="Churchyard, Gavin" sort="Churchyard, Gavin" uniqKey="Churchyard G" first="Gavin" last="Churchyard">Gavin Churchyard</name>
<name sortKey="Muirhead, Debbie" sort="Muirhead, Debbie" uniqKey="Muirhead D" first="Debbie" last="Muirhead">Debbie Muirhead</name>
<name sortKey="Pienaar, Jan" sort="Pienaar, Jan" uniqKey="Pienaar J" first="Jan" last="Pienaar">Jan Pienaar</name>
<name sortKey="Van Zyl, Andrew" sort="Van Zyl, Andrew" uniqKey="Van Zyl A" first="Andrew" last="Van Zyl">Andrew Van Zyl</name>
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</record>
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