2008
DOI: 10.1186/1478-4491-6-2
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Workforce analysis using data mining and linear regression to understand HIV/AIDS prevalence patterns

Abstract: Background: The achievement of the Millennium Development Goals (MDGs) depends on sufficient supply of health workforce in each country. Although country-level data support this contention, it has been difficult to evaluate health workforce supply and MDG outcomes at the country level. The purpose of the study was to examine the association between the health workforce, particularly the nursing workforce, and the achievement of the MDGs, taking into account other factors known to influence health status, such … Show more

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Cited by 14 publications
(8 citation statements)
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“…The exact nature of the relationship between the physician workforce and the achievement of MDGs in any one country is doubtlessly affected by a large number of context-specific factors, as well as by factors which may not be context specific, but for which we did not have a good source of data, such as a systematic record, across many nations, of other health worker density levels. We are also not the first study [ 11 ] to note the relationship between the health workforce (and particularly physician density) and MDG outcomes. However, we do offer this report as iterative and new evidence that the relationship is real and must be taken into account in future planning efforts for developmental goals going forward.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The exact nature of the relationship between the physician workforce and the achievement of MDGs in any one country is doubtlessly affected by a large number of context-specific factors, as well as by factors which may not be context specific, but for which we did not have a good source of data, such as a systematic record, across many nations, of other health worker density levels. We are also not the first study [ 11 ] to note the relationship between the health workforce (and particularly physician density) and MDG outcomes. However, we do offer this report as iterative and new evidence that the relationship is real and must be taken into account in future planning efforts for developmental goals going forward.…”
Section: Discussionmentioning
confidence: 99%
“…The WHO estimates that healthcare systems comprised of fewer than 23 healthcare workers per 10,000 population are unable to properly deliver necessary health services to a given region [ 7 ]. Several studies from across the world have suggested that an increase in physician or skilled healthcare worker density can produce a significant reduction in maternal and child mortality rates [ 8 10 ], and other studies have demonstrated the relationship between physician density and HIV/AIDS prevalence [ 11 ]. However, healthcare improvement in developing nations is often handled in response to distinct crises, or with internationally-based non-governmental agencies (NGOs) providing distinct and specific services.…”
Section: Introductionmentioning
confidence: 99%
“…We are not aware of any study that has argued convincingly that the number of health workers per capita is a strong predictor of HIV prevalence. (Note: Madigan et al [ 31 ] argue that health worker density has an impact on HIV/AIDS prevalence. However, their regression analysis fails to control for variables that one would expect are important predictors of HIV/AIDS prevalence, such as sexual behaviour and attitudes, and knowledge about the transmission of the disease.…”
Section: Methodsmentioning
confidence: 99%
“…Many reports in low and middle income countries have highlighted acute shortages of health workers who are outpaced by the actual needs for health care services (Anand &Barnighaussen, 2004WHO, 2006;Lehman et al, 2008;Madigan et al, 2008;). Imbalanced distribution of the fewer health workers available is also an important policy issue which has been attributed to failure by some employers to recruit the required health workers and retain them (Chomitz et al, 1998;WHO, 1998;Dambisya, 2002;Serneels et al, 2007;).…”
Section: Introductionmentioning
confidence: 99%