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Trialling of an optimal health programme (OHP) across chronic disease

Overview of attention for article published in Trials, September 2016
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Title
Trialling of an optimal health programme (OHP) across chronic disease
Published in
Trials, September 2016
DOI 10.1186/s13063-016-1560-5
Pubmed ID
Authors

Chantal F. Ski, David R. Thompson, David J. Castle

Abstract

Population ageing is a worldwide phenomenon, most advanced in developed countries and expected to continue over the next few decades. As people are surviving longer with age-associated disease and disability, there is an imperative to identify innovative solutions for an already overburdened health care system. Such innovations need to be focused on disease management, taking into consideration the strong associations that have been established between psychosocial factors and pathophysiological mechanisms associated with chronic disease. Aside from personal and community costs, chronic diseases produce a significant economic burden due to the culmination of health care costs and lost productivity. This commentary reports on a programme of research, Translating Research, Integrated Public Health Outcomes and Delivery, which will evaluate an optimal health programme that adopts a person-centred approach and engages collaborative therapy to educate, support and improve the psychosocial health of those with chronic disease. The effectiveness of the optimal health programme will be evaluated across three of the most significant contributors to disease burden: diabetes mellitus, chronic kidney disease and stroke. Cost-effectiveness will also be evaluated. The findings derived from this series of randomised controlled trials will also provide evidence attesting to the potential applicability of the optimal health programme in other chronic conditions.

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Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 14%
Student > Bachelor 19 13%
Student > Master 17 12%
Student > Ph. D. Student 9 6%
Student > Postgraduate 8 6%
Other 19 13%
Unknown 52 36%
Readers by discipline Count As %
Nursing and Health Professions 35 24%
Medicine and Dentistry 19 13%
Psychology 14 10%
Social Sciences 6 4%
Economics, Econometrics and Finance 5 3%
Other 9 6%
Unknown 56 39%