2875 The association between multiple long-term conditions, person- and disease-related factors and adverse inpatient outcomes

Abstract

Introduction People living with multiple long-term conditions (MLTC) are more likely to experience hospital admission, which is often associated with unintended consequences. Preventing or providing alternatives to admission by predicting adverse admission-related outcomes is important. This study aims to provide an overview of the association between MLTCs and adverse outcomes following hospital admission through a systematic review of systematic reviews. Method We searched Medline, Embase, CINAHL, Web of Science and PsycINFO for systematic reviews assessing risk factors/predictors of functional decline (FD), nursing home admission (NHA), or changes in quality of life among adults (≥18 years) experiencing unscheduled acute hospital admission. Eligible reviews had to assess MLTC (LTC counts, indices, or individual LTCs), either alone or with other predictors. Titles/abstracts and full texts were screened in duplicate and candidate predictors were extracted. Results 14 systematic reviews assessed predictors of FD (n = 8) or NHA (n = 6). Reviews focused on studies of general inpatients/mixed presentations (n = 8: 6 FD, 2 NHA); hip fracture (n = 2: 1 FD, 1 NHA); stroke (n = 2: 1 FD, 1 NHA) and cognitive impairment (n = 1, NHA) or delirium (n = 1, NHA). Assessment of MLTC was heterogenous: comorbidity indices (n = 4), counts of LTC (n = 2), specific LTC (n = 8), and ‘comorbidity’ without further qualification (n = 3). Higher comorbidity indices, higher counts, and a range of specific comorbidities (most notably dementia) were associated with FD and NHA. Reviews assessing MLTC alongside other predictors highlighted a broad range of sociodemographic, functional, social, and admission-related factors that were associated with FD and NHA. In general, reviews did not assess the relative importance of MLTC alongside other predictors. Conclusion While MLTC may predict unwanted outcomes following admission their qualification is often inconsistent and their relative importance as predictors, alongside broader factors such as social complexity, is rarely assessed in existing systematic reviews.