Understanding health service utilisation patterns for care home residents during the COVID-19 pandemic using routinely collected healthcare data

被引:1
|
作者
Garner, Alex [1 ]
Preston, Nancy [3 ]
Caiado, Camila C. S. [4 ]
Stubington, Emma [1 ]
Hanratty, Barbara [5 ]
Limb, James [6 ]
Mason, Suzanne M. [2 ]
Knight, Jo [1 ]
机构
[1] Univ Lancaster, Lancaster Med Sch, Lancaster, Lancs, England
[2] Univ Sheffield, Sch Hlth & Related Res, Sheffield, S Yorkshire, England
[3] Univ Lancaster, Div Hlth Res, Lancaster, Lans, England
[4] Univ Durham, Dept Math Sci, Durham, England
[5] Newcastle Univ, Populat Hlth Sci Inst, Newcastle, England
[6] Cty Durham & Darlington NHS Fdn Trust, Darlington, England
关键词
LONG-TERM-CARE; FACILITIES; ENGLAND; IMPACT; UK;
D O I
10.1186/s12877-024-05062-6
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background Healthcare in care homes during the COVID-19 pandemic required a balance, providing treatment while minimising exposure risk. Policy for how residents should receive care changed rapidly throughout the pandemic. A lack of accessible data on care home residents over this time meant policy decisions were difficult to make and verify. This study investigates common patterns of healthcare utilisation for care home residents in relation to COVID-19 testing events, and associations between utilisation patterns and resident characteristics.Methods Datasets from County Durham and Darlington NHS Foundation Trust including secondary care, community care and a care home telehealth app are linked by NHS number used to define daily healthcare utilisation sequences for care home residents. We derive four 10-day sets of sequences related to Pillar 1 COVID-19 testing; before [1] and after [2] a resident's first positive test and before [3] and after [4] a resident's first test. These sequences are clustered, grouping residents with similar healthcare patterns in each set. Association of individual characteristics (e.g. health conditions such as diabetes and dementia) with healthcare patterns are investigated.Results We demonstrate how routinely collected health data can be used to produce longitudinal descriptions of patient care. Clustered sequences [1,2,3,4] are produced for 3,471 care home residents tested between 01/03/2020-01/09/2021. Clusters characterised by higher levels of utilisation were significantly associated with higher prevalence of diabetes. Dementia is associated with higher levels of care after a testing event and appears to be correlated with a hospital discharge after a first test. Residents discharged from inpatient care within 10 days of their first test had the same mortality rate as those who stayed in hospital.Conclusion We provide longitudinal, resident-level data on care home resident healthcare during the COVID-19 pandemic. We find that vulnerable residents were associated with higher levels of healthcare usage despite the additional risks. Implications of findings are limited by the challenges of routinely collected data. However, this study demonstrates the potential for further research into healthcare pathways using linked, routinely collected datasets.
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页数:11
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