Background: This systematic review aimed to provide an overview of the existing literature on cost-effectiveness of exercise referral schemes (ERSs).
Methods: A systematic search was performed in MEDLINE, EMBASE, EconLit, Web of Science and PsycINFO. Main inclusion criteria were: (1) insufficiently active people; (2) ERSs and (3) full health economic evaluations. No publication year limits were applied. The methodological quality was assessed independently by two reviewers using the Consensus Health Economic Criteria (CHEC) checklist.
Results: Fifteen eligible publications were retrieved, presenting results of 12 different studies. Compared with usual care, ERSs were found to be cost-effective in a majority of the analyses, but with modest health gains and costs per individual. These cost-effectiveness results were also sensitive to small changes in input parameters. Two studies found that ERSs combined with a pedometer/accelerometer are cost-effective, compared with usual ERS practice. Two other studies found that an ERS with phone support and an ERS with face-to-face support might be equally effective, with similar costs.
Conclusion: Although the literature demonstrated that ERSs could be cost-effective compared with usual care, these results were not robust. Based on a small number of studies, ERSs could be optimized by using tracking devices, or by providing a choice to the participants about the delivery mode. There is need for clarity on the effectiveness of and attendance to ERS, as more certainty about these key input parameters will strengthen health-economic evidence, and thus will allow to provide a clearer message to health policy-makers.
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http://dx.doi.org/10.1093/eurpub/ckab189 | DOI Listing |
JMIR Res Protoc
January 2025
Université de Sherbrooke, Sherbrooke, QC, Canada.
Background: The centralization of decision-making power in the public health care system has a negative impact on the practice of professionals and the quality of home care services (HCS) for seniors. To improve HCS, decentralized management could be a particularly promising approach. To be effective, strategies designed to incorporate this management approach require attention to 3 elements: autonomy of local stakeholders, individual and organizational capacities, and accountability for actions and decisions.
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January 2025
Institute for Human Development, Aga Khan University, Nairobi, Kenya.
Introduction: Children growing up in arid and semi-arid regions of Sub-Saharan Africa (SSA) face heightened risks, often resulting in poor developmental outcomes. In Kenya, the arid and semi-arid lands (ASAL) exhibit the lowest health and developmental indicators among children. Despite these risks, some children grow up successfully and overcome the challenges.
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January 2025
Departement of Epidemiology, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia.
Introduction: Ovarian cancer is one of the most lethal gynecological cancers. Despite diagnosis and treatment advances, survival rates have not increased over the past 32 years. This study estimated and reported the global burden of ovarian cancer during the past 32 years to inform preventative and control strategies.
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January 2025
School of Economics and Management, Shanghai Maritime University, Shanghai, China.
The financialization of real enterprises presents a dilemma for China's economic development. This study examines the impact of the financial asset allocation term structure on audit fees using a sample of Chinese A-share listed companies from 2009 to 2019. It also investigates the mediating role of financial risk and the moderating role of independent director characteristics.
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January 2025
School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, China.
With the popularity of circular economy around the world, transactions in the second-hand sailboat market are extremely active. Determining pricing strategies and exploring their regional effects is a blank area of existing research and has important practical and statistical significance. Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data.
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