2021
DOI: 10.3390/ijerph18094831
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The National ReferAll Database: An Open Dataset of Exercise Referral Schemes Across the UK

Abstract: In 2014, The National Institute for Health and Care Excellence (NICE) called for the development of a system to collate local data on exercise referral schemes (ERS). This database would be used to facilitate continued evaluation of ERS. The use of health databases can spur scientific investigation and the generation of evidence regarding healthcare practice. NICE’s recommendation has not yet been met by public health bodies. Through collaboration between ukactive, ReferAll, a specialist in software solutions … Show more

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Cited by 7 publications
(4 citation statements)
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“…Confounders were age (in years), employment status (categorical variable) and ethnicity (categorical variable) (see Steele et al, 2021). Based on available data in the sample, these confounders were selected after we had specified our conceptual model in which we aimed to identify variables which could be related to the predictor, the mediator and the outcome (Lipsky & Greenland, 2022).…”
Section: Methodsmentioning
confidence: 99%
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“…Confounders were age (in years), employment status (categorical variable) and ethnicity (categorical variable) (see Steele et al, 2021). Based on available data in the sample, these confounders were selected after we had specified our conceptual model in which we aimed to identify variables which could be related to the predictor, the mediator and the outcome (Lipsky & Greenland, 2022).…”
Section: Methodsmentioning
confidence: 99%
“…Data were retrieved from a publicly available dataset (https://osf.io/uzbw9/). The study was extensively described elsewhere (Steele et al, 2021). Briefly, British adults participating in different exercise referral schemes across the country were invited to complete a single-time questionnaire assessing sociodemographic variables, as well as variables related to physical activity and health indicators.…”
Section: Methodsmentioning
confidence: 99%
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“…进行共享 [31] ;基于大数据支持的智能医疗系统架构 (BSHSF) ,该系统具备可拓展性及高容错性,将多 源异构的健康数据进行集成融合与智能化处理,提 高了体征评估、方案制定、远程指导等服务的信息 匹配效率,加速了用户与健康治理主体间数据信息 的互联互通 [32]…”
Section: 在后疫情时代科技创新新趋势下,主动健康服unclassified