Queen Anton B, Lowrie Richard, Richardson Janice, Williamson Andrea E
Medical Student, University of Glasgow, Glasgow, Scotland, UK.
Lead Pharmacist Research and Development, Pharmacy and Prescribing Support Unit, NHS Greater Glasgow and Clyde, Glasgow, Scotland, UK.
BJGP Open. 2017 Oct 4;1(3):bjgpopen17X100941. doi: 10.3399/bjgpopen17X100941.
There is a paucity of current health data regarding users of a specialist homeless health service in the UK.
To describe the health of users of a specialist homeless health service by assessing levels of multimorbidity, social exclusion - by measuring severe and multiple disadvantage (SMD) - and patient engagement with health care.
DESIGN & SETTING: Analysis of patient-level data from computerised records of patients registered with a specialist homeless health service in Glasgow, Scotland.
Data for 133 patients were extracted using a data extraction form. Multimorbidity and SMD were described using categorisation adapted from previous literature in this field. Stepwise regression analysis was carried out to assess the relationship between domains of SMD experienced and the number of long-term conditions (LTCs) a patient had.
The average age of patients in the cohort was 42.8 years, however levels of multimorbidity were comparable to those aged ≥85 years in the general population. The average number of LTCs was 2.8 per patient, with 60.9% of patients having both mental and physical comorbidity. SMD was categorised into three domains: homelessness; substance misuse; and previous imprisonment. More than 90.0% of patients experienced ≥2 domains of SMD, and SMD experiences were associated with multimorbidity: as domains of SMD experiences increased, so did the number of LTCs a patient was recorded as having.
This cohort of patients has a complex burden of health and social care needs, which may act as barriers in the provision of effective health care.
目前英国缺乏关于专科无家可归者健康服务使用者的健康数据。
通过评估多重疾病负担水平、社会排斥情况(通过测量严重和多重劣势[SMD])以及患者对医疗保健的参与度,来描述专科无家可归者健康服务使用者的健康状况。
对苏格兰格拉斯哥一家专科无家可归者健康服务机构登记患者的计算机化记录中的患者层面数据进行分析。
使用数据提取表提取133名患者的数据。采用该领域先前文献改编的分类方法描述多重疾病负担和SMD。进行逐步回归分析以评估所经历的SMD领域与患者长期病症(LTCs)数量之间的关系。
该队列患者的平均年龄为42.8岁,但其多重疾病负担水平与普通人群中年龄≥85岁者相当。每位患者的LTCs平均数量为2.8种,60.9%的患者同时患有精神和身体疾病。SMD分为三个领域:无家可归;药物滥用;以及曾被监禁。超过90.0%的患者经历了≥2个SMD领域,且SMD经历与多重疾病负担相关:随着SMD经历领域的增加,患者记录的LTCs数量也增加。
这组患者有着复杂的健康和社会护理需求负担,这可能成为提供有效医疗保健的障碍。