首页> 外文期刊>BMC Geriatrics >The theoretical and empirical basis of a BioPsychoSocial (BPS) risk screener for detection of older people’s health related needs, planning of community programs, and targeted care interventions
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The theoretical and empirical basis of a BioPsychoSocial (BPS) risk screener for detection of older people’s health related needs, planning of community programs, and targeted care interventions

机译:BioPsychoSocial(BPS)风险筛选器的理论和经验基础,可用于发现老年人的健康相关需求,规划社区计划和针对性的护理干预措施

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This study introduces the conceptual basis and operational measure, of BioPyschoSocial (BPS) health and related risk to better understand how well older people are managing and to screen for risk status. The BPS Risk Screener is constructed to detect vulnerability at older ages, and seeks to measure dynamic processes that place equal emphasis on Psycho-emotional and Socio-interpersonal risks, as Bio-functional ones. We validate the proposed measure and describe its application to programming. We undertook a quantitative cross-sectional, psychometric study with n?=?1325 older Singaporeans, aged 60 and over. We adapted the EASYCare 2010 and Lubben Social Network Scale questionnaires to help determine the BPS domains using factor analysis from which we derive the BPS Risk Screener items. We then confirm its structure, and test the scoring system. The score is initially validated against self-reported general health then modelled against: number of falls; cognitive impairment; longstanding diseases; and further tested against service utilization (linked administrative data). Three B, P and S clusters are defined and identified and a BPS managing score (‘doing’ well, or ‘some’, ‘many’, and ‘overwhelming problems’) calculated such that the risk of problematic additive BPS effects, what we term health ‘loads’, are accounted for. Thirty-five items (factor loadings over 0.5) clustered into three distinct B, P, S domains and were found to be independently associated with self-reported health: B: 1.99 (1.64 to 2.41), P: 1.59 (1.28 to 1.98), S: 1.33 (1.10 to 1.60). The fit improved when combined into the managing score 2.33 (1.92 to 2.83,
机译:这项研究介绍了BioPyschoSocial(BPS)健康状况和相关风险的概念基础和操作措施,以更好地了解老年人的管理水平和筛查风险状况。 BPS风险筛选器旨在检测老年人的脆弱性,并寻求衡量动态过程,这些过程同时重视心理情感和社会人际风险,即生物功能风险。我们验证提出的措施并描述其在编程中的应用。我们对60岁及以上的n?=?1325岁的新加坡人进行了定量横断面,心理测量研究。我们对EASYCare 2010和Lubben社交网络量表进行了改编,以使用因素分析来帮助确定BPS领域,从中我们可以得出BPS风险筛查项目。然后,我们确定其结构,并测试评分系统。首先根据自我报告的总体健康状况对分数进行验证,然后针对以下各项进行建模:跌倒次数;认知障碍;长期病并针对服务利用率(链接的管理数据)进行了进一步测试。定义并确定了三个B,P和S集群,并计算了BPS管理评分(“做得好”或“有些”,“很多”和“压倒性的问题”),以便有问题的附加BPS效果的风险,术语“负载”是健康的。 35个项目(因子负载超过0.5)聚集到三个不同的B,P,S域中,并被发现与自我报告的健康状况独立相关:B:1.99(1.64至2.41); P:1.59(1.28至1.98) ,S:1.33(1.10至1.60)。当合并为管理得分2.33(1.92至2.83,<0.01)时,拟合度得到改善。该分数与所有结果的风险增加相关。通过此分析,可以验证BPS领域的结构以及捕获动态BPS加性效应的新颖评分系统,这些评分系统可以结合起来导致脆弱性。生成的工具有助于使客户的风险状况和相关干预需求透明化。考虑到它对P和S风险的明确支持和经验支持,与B风险相比,P和S风险更具延展性,尤其是在年龄较大的老年人中,此工具旨在对变化敏感。

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