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Innovating to improve primary care in less developed countries: towards a global model.

ABSTRACT: One of the biggest problems in global health is the lack of well trained and supported health workers in less developed settings. In many rural areas there are no physicians, and it is important to find ways to support and empower nurses and other health workers. The Knowledge Translation Unit of the University of Cape Town Lung Institute has spent 14?years developing a series of innovative packages to support and empower nurses and other health workers. PACK (Practical Approach to Care Kit) Adult comprises policy-based and evidence-informed guidelines; onsite, team and case-based training; non-physician prescribing; and a cascade system of scaling up. A series of randomised trials has shown the effectiveness of the packages, and methods are now being developed to respond cost-effectively and sustainably to global demand for implementing PACK Adult. Global health would probably benefit from less time and money spent developing new innovations and more spent on finding ways to spread those we already have.

SUBMITTER: Fairall L

PROVIDER: S-EPMC4680195 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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Innovating to improve primary care in less developed countries: towards a global model.

Fairall Lara L Bateman Eric E Cornick Ruth R Faris Gill G Timmerman Venessa V Folb Naomi N Bachmann Max M Zwarenstein Merrick M Smith Richard R

BMJ innovations 20150723 4

One of the biggest problems in global health is the lack of well trained and supported health workers in less developed settings. In many rural areas there are no physicians, and it is important to find ways to support and empower nurses and other health workers. The Knowledge Translation Unit of the University of Cape Town Lung Institute has spent 14 years developing a series of innovative packages to support and empower nurses and other health workers. PACK (Practical Approach to Care Kit) Adu ...[more]

PMID: 26692199

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Project description:ObjectiveTo compare treatment effects from randomised trials conducted in more developed versus less developed countries.DesignMeta-epidemiological study.Data sourcesCochrane Database of Systematic Reviews (August 2012).Data extractionMeta-analyses with mortality outcomes including data from at least one randomised trial conducted in a less developed country and one in a more developed country. Relative risk estimates of more versus less developed countries were compared by calculating the relative relative risks for each topic and the summary relative relative risks across all topics. Similar analyses were performed for the primary binary outcome of each topic.Results139 meta-analyses with mortality outcomes were eligible. No nominally significant differences between more developed and less developed countries were found for 128 (92%) meta-analyses. However, differences were beyond chance in 11 (8%) cases, always showing more favourable treatment effects in trials from less developed countries. The summary relative relative risk was 1.12 (95% confidence interval 1.06 to 1.18; P<0.001; I(2)=0%), suggesting significantly more favourable mortality effects in trials from less developed countries. Results were similar for meta-analyses with nominally significant treatment effects for mortality (1.15), meta-analyses with recent trials (1.14), and when excluding trials from less developed countries that subsequently became more developed (1.12). For the primary binary outcomes (127 meta-analyses), 20 topics had differences in treatment effects beyond chance (more favourable in less developed countries in 15/20 cases).ConclusionsTrials from less developed countries in a few cases show significantly more favourable treatment effects than trials in more developed countries and, on average, treatment effects are more favourable in less developed countries. These discrepancies may reflect biases in reporting or study design as well as genuine differences in baseline risk or treatment implementation and should be considers when generalising evidence across different settings.

Project description:BACKGROUND:Early diagnosis of human immunodeficiency virus (HIV) is important because antiretroviral therapies are more effective if infected individuals are diagnosed early. Diagnosis of HIV relies on laboratory testing and determining the demographic and clinical characteristics of undiagnosed HIV-infected patients may be useful in identifying patients for testing. This systematic review aims to identify characteristics of HIV-infected adults prior to diagnosis that could be used in a prediction model for early detection of patients for HIV testing in UK primary care. METHODS:The population of interest was adults aged ??18 years in developed countries. The exposures were demographic, socio-economic or clinical characteristics associated with the outcome, laboratory confirmed HIV/AIDS infection. Observational studies with a comparator group were included in the systematic review. Electronic searches for articles from January 1995 to April 2016 were conducted on online databases of EMBASE, MEDLINE, The Cochrane Library and grey literature. Two reviewers selected studies for inclusion. A checklist was developed for quality assessment, and a data extraction form was created to collate data from selected studies. RESULTS:Full-text screening of 429 articles identified 17 cohort and case-control studies, from 26,819 retrieved articles. Demographic and socio-economic characteristics associated with HIV infection included age, gender and measures of deprivation. Lifestyle choices identified were drug use, binge-drinking, number of lifetime partners and having a partner with risky behaviour. Eighteen clinical features and comorbid conditions identified in this systematic review are included in the 51 conditions listed in the British HIV Association guidelines. Additional clinical features and comorbid conditions identified but not specified in the guidelines included hyperlipidemia, hypertension, minor trauma and diabetes. CONCLUSION:This systematic review consolidates existing scientific evidence on characteristics of HIV-infected individuals that could be used to inform decision making in prognostic model development. Further exploration of availability of some of the demographic and behavioural predictors of HIV, such as ethnicity, number of lifetime partners and partner characteristics, in primary care records will be required to determine whether they can be applied in the prediction model.

Dataset Information

Innovating to improve primary care in less developed countries: towards a global model.

Publications

Innovating to improve primary care in less developed countries: towards a global model.

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