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Deciding if and when might be the 'optimal' time for a person living with dementia to move to a care home is often difficult for the individual, family and practitioners. In this study, we describe the outcome of a factorial survey conducted with 100 dementia care practitioners (a frontline health or social care worker who works with people living with dementia) in England, which investigated factors used in deciding when a person living with dementia moves to a care home. Using findings from qualitative interviews with older people living with dementia, family carers, care home managers and social workers, we identified four factors that appeared to influence the decision to move to a care home: (1) Family carers' ability to support the person with daily activities, (2) amount of support provided by home care workers, (3) level of risk of harm and (4) the person living with dementia's wishes. These factors were then randomised within skeleton vignettes that told the story of a fictitious woman (Jane) living with dementia at home with her husband. Fifty‐four variations of the vignettes were produced and randomly assigned to 100 surveys. A total of 100 volunteer dementia care practitioners (78% female, 54% over 50 years of age) received their own personalised online survey link via email and were asked to read each vignette and decide whether to suggest Jane (a) move to a care home or (b) continue living at home. Results indicated that Jane's wishes principally drove most dementia care practitioners' decision on whether to suggest a move to a care home or stay living at home (odds ratio = 6.5–19.5). Findings will inform a better understanding of the factors that contribute toward a decision to move to a care home and be of relevance to policy, practice, training and support. [ABSTRACT FROM AUTHOR]

Background: People with multimorbidity have complex healthcare needs. Some co-occurring diseases interact with each other to a larger extent than others and may have a different impact on primary care use.Aim: To assess the association between multimorbidity clusters and primary care consultations over time.Design and Setting: A retrospective longitudinal (panel) study design was used. Data comprised electronic primary care health records of 826 166 patients registered at GP practices in an ethnically diverse, urban setting in London between 2005 and 2020.Method: Primary care consultation rates were modelled using generalised estimating equations. Key controls included the total number of long-term conditions, five multimorbidity clusters, and their interaction effects, ethnic group, and polypharmacy (proxy for disease severity). Models were also calibrated by consultation type and ethnic group.Results: Individuals with multimorbidity used two to three times more primary care services than those without multimorbidity (incidence rate ratio 2.30, 95% confidence interval = 2.29 to 2.32). Patients in the alcohol dependence, substance dependence, and HIV cluster (Dependence+) had the highest rate of increase in primary care consultations as additional long-term conditions accumulated, followed by the mental health cluster (anxiety and depression). Differences by ethnic group were observed, with the largest impact in the chronic liver disease and viral hepatitis cluster for individuals of Black or Asian ethnicity.Conclusion: This study identified multimorbidity clusters with the highest primary care demand over time as additional long-term conditions developed, differentiating by consultation type and ethnicity. Targeting clinical practice to prevent multimorbidity progression for these groups may lessen future pressures on primary care demand by improving health outcomes. [ABSTRACT FROM AUTHOR]

Background: Managing multimorbidity is complex for both patients and healthcare systems. Patients with multimorbidity often use a variety of primary and secondary care services. Country-specific research exploring the healthcare utilisation and cost consequences of multimorbidity may inform future interventions and payment schemes in the UK.Aim: To assess the relationship between multimorbidity, healthcare costs, and healthcare utilisation; and to determine how this relationship varies by disease combinations and healthcare components.Design and Setting: A systematic review.Method: This systematic review followed the bidirectional citation searching to completion method. MEDLINE and grey literature were searched for UK studies since 2004. An iterative review of references and citations was completed. Authors from all articles selected were contacted and asked to check for completeness of UK evidence. The National Institutes of Health National Heart, Lung, and Blood Institute quality assessment tool was used to assess risk of bias. Data were extracted, findings synthesised, and study heterogeneity assessed; meta-analysis was conducted when possible.Results: Seventeen studies were identified: seven predicting healthcare costs and 10 healthcare utilisation. Multimorbidity was found to be associated with increased total costs, hospital costs, care transition costs, primary care use, dental care use, emergency department use, and hospitalisations. Several studies demonstrated the high cost of depression and of hospitalisation associated with multimorbidity.Conclusion: In the UK, multimorbidity increases healthcare utilisation and costs of primary, secondary, and dental care. Future research is needed to examine whether integrated care schemes offer efficiencies in healthcare provision for multimorbidity. [ABSTRACT FROM AUTHOR]