Hollinghurst Joe, Akbari Ashley, Fry Richard, Watkins Alan, Berridge Damon, Clegg Andy, Hillcoat-Nalletamby Sarah, Williams Neil, Lyons Ronan, Mizen Amy, Walters Angharad, Johnson Rhodri, Rodgers Sarah
Health Data Research UK (HDR-UK), Swansea University, Swansea, UK.
Administrative Data Research Centre Wales, Swansea University Medical School, Swansea, UK.
BMJ Open. 2018 Oct 30;8(10):e026290. doi: 10.1136/bmjopen-2018-026290.
This study will evaluate the effectiveness of home adaptations, both in preventing hospital admissions due to falls for older people, and improving timely discharge. Results will provide evidence for services at the interface between health and social care, informing policies seeking to promote healthy ageing through prudent healthcare and fall prevention.
All individuals living in Wales, UK, aged 60 years and over, will be included in the study using anonymised linked data from the Secure Anonymised Information Linkage Databank. We will use a national database of home modifications implemented by the charity organisation Care & Repair Cymru (C&R) from 2009 to 2017 to define an intervention cohort. We will use the electronic Frailty Index to assign individual levels of frailty (fit, mild, moderate or severe) and use these to create a comparator group (non-C&R) of people who have not received a C&R intervention. Coprimary outcomes will be quarterly numbers of emergency hospital admissions attributed to falls at home, and the associated length of stay. Secondary outcomes include the time in moving to a care home following a fall, and the indicative financial costs of care for individuals who had a fall. We will use appropriate multilevel generalised linear models to analyse the number of hospital admissions related to falls. We will use Cox proportional hazard models to compare the length of stay for fall-related hospital admissions and the time in moving to a care home between the C&R and non-C&R cohorts. We will assess the impact per frailty group, correct for population migration and adjust for confounding variables. Indicative costs will be calculated using financial codes for individual-level hospital stays. Results will provide evidence for services at the interface between health and social care, informing policies seeking to promote healthy ageing through prudent healthcare and prevention.
Information governance requirements for the use of record-linked data have been approved and only anonymised data will be used in our analysis. Our results will be submitted for publication in peer-reviewed journals. We will also work with lay members and the knowledge transfer team at Swansea University to create communication and dissemination materials on key findings.
本研究将评估家庭改造在预防老年人因跌倒而住院以及促进及时出院方面的有效性。研究结果将为健康与社会护理衔接领域的服务提供证据,为旨在通过审慎医疗保健和预防跌倒来促进健康老龄化的政策提供参考。
使用来自安全匿名信息链接数据库的匿名关联数据,将所有居住在英国威尔士、年龄在60岁及以上的个人纳入研究。我们将利用慈善组织威尔士关爱与修复组织(C&R)在2009年至2017年实施的家庭改造全国数据库来定义一个干预队列。我们将使用电子衰弱指数来确定个体的衰弱程度(健康、轻度、中度或重度),并以此创建一个未接受C&R干预的人群比较组(非C&R组)。共同主要结局将是因在家中跌倒导致的急诊住院季度次数及相关住院时长。次要结局包括跌倒后入住养老院的时间,以及跌倒个体的护理预估财务成本。我们将使用适当的多层次广义线性模型来分析与跌倒相关的住院次数。我们将使用Cox比例风险模型来比较C&R组和非C&R组中与跌倒相关的住院时长以及入住养老院的时间。我们将评估每个衰弱组的影响,校正人口迁移因素并调整混杂变量。预估成本将使用个体层面住院的财务编码来计算。研究结果将为健康与社会护理衔接领域的服务提供证据,为旨在通过审慎医疗保健和预防来促进健康老龄化酌政策提供参考。
使用记录关联数据的信息治理要求已获批准,我们的分析将仅使用匿名数据。我们的研究结果将提交至同行评审期刊发表。我们还将与斯旺西大学的非专业成员和知识转移团队合作,制作关于关键研究结果的沟通和传播材料。