Journal article
Home modification to reduce falls at a health district level: Modeling health gain, health inequalities and health costs
N Wilson, G Kvizhinadze, F Pega, N Nair, T Blakely
Plos One | PUBLIC LIBRARY SCIENCE | Published : 2017
Abstract
Background There is some evidence that home safety assessment and modification (HSAM) is effective in reducing falls in older people. But there are various knowledge gaps, including around cost-effectiveness and also the impacts at a health district-level. Methods and findings A previously established Markov macro-simulation model built for the whole New Zealand (NZ) population (Pega et al 2016, Injury Prevention) was enhanced and adapted to a health district level. This district was Counties Manukau District Health Board, which hosts 42,000 people aged 65+ years. A health system perspective was taken and a discount rate of 3% was used for both health gain and costs. Intervention effectivene..
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Awarded by Ministry of Business, Innovation and Employment (MBIE)
Awarded by Health Research Council of New Zealand
Awarded by New Zealand Ministry of Business, Innovation & Employment (MBIE)
Funding Acknowledgements
The authors thank the Ministry of Business, Innovation and Employment (MBIE) for funding this work (grant number UOOX1406). The Health Research Council of New Zealand (grant no: 10/248) is also owed thanks for funding earlier model development work.r The authors thank CMDHB staff for collaborating on this study and Ministry of Business, Innovation and Employment (MBIE) for funding this work (grant number UOOX1406). The Health Research Council of New Zealand (grant no: 10/248) is also owed thanks for funding earlier model development work. The Ministry of Health kindly provided access to anonymized official health data (HealthTracker) and the Accident Compensation Corporation (ACC) for aggregated claims data. We also thank Associate Professor Michael Keall and an anonymous reviewer for helpful comments. Nevertheless, any views/conclusions in this publication are those of the authors and may not reflect the position of any of the agencies that have provided support for this study. Frank Pega is a Technical Officer at the World Health Organization, but at the time of writing of this paper was a Postdoctoral Fellow at the University of Otago.