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Background Care homes are increasingly important settings for intervention research to enhance evidence-informed care. For such research to demonstrate effectiveness, it is essential that measures are appropriate for the population, setting and practice contexts. Objective To identify care home intervention studies and describe the resident outcome measures used. Design Scoping review. Methods We reviewed international care home research published from 2015 to August 2022. We searched MEDLINE, EMBASE, CINAHL and ASSIA. We included any intervention study conducted in a care home, reporting resident outcomes. We extracted resident outcome measures, organised these using the domains of an adapted framework and described their use. Results From 7,330 records screened, we included 396 datasets reported in 436 publications. These included 12,167 care homes and 836,842 residents, with an average of 80 residents per study. The studies evaluated 859 unique resident outcomes 2,030 times using 732 outcome measures. Outcomes were evaluated between 1 and 112 times, with 75.1% of outcomes evaluated only once. Outcome measures were used 1–120 times, with 68.4% of measures used only once. Only 14 measures were used ≥20 times. Functional status, mood & behaviour and medications were the commonest outcome domains assessed. More than half of outcomes were assessed using scales, with a fifth using existing records or administrative data. Conclusions There is significant heterogeneity in the choice and assessment of outcomes for intervention research in care homes. There is an urgent need to develop a consensus on useful and sensitive tools for care homes, working with residents, families and friends and staff.

Background: Pathways into care are poorly understood but important life events for individuals and their families. UK policy is to avoid moving-in to care homes from acute hospital settings. This assumes that moves from secondary care represent a system failure. However, those moving to care homes from community and hospital settings may be fundamentally different groups, each requiring differing care approaches. Objective: To characterise individuals who move-in to a care home from hospital and compare with those moving-in from the community.Design and setting: A retrospective cohort study using cross-sectoral data linkage of care home data. Methods: We included adults moving-in to care homes between 1/4/13-31/3/16, recorded in the Scottish Care Home Census. Care home data were linked to general and psychiatric hospital admissions, community prescribing and mortality records to ascertain comorbidities, significant diagnoses, hospital resource use, polypharmacy and frailty. Multivariate logistic regression identified predictors of moving-in from hospital compared to from community.Results: We included 23,892 individuals moving-in to a care home, 13,564 (56.8%) from hospital and 10,328 (43.2%) from the community. High frailty risk adjusted Odds Ratio (aOR) 5.11 (95% Confidence Interval (CI):4.60-5.68), hospital discharge with diagnosis of fracture aOR 3.91 (95%CI: 3.41-4.47) or stroke aOR 8.42 (95%CI: 6.90-10.29) were associated with moving-in from hospital. Discharge from in-patient psychiatry was also a highly significant predictor aOR 19.12 (95%CI:16.26-22.48). Conclusions: Individuals moving-in to care homes directly from hospital are clinically distinct from those from the community. Linkage of cross-sectoral data can allow exploration of pathways into care at scale.

Additional file 5. In-depth programme theory diagram to supplement Fig. 4.

Additional file 3. If-then statements.

Additional file 1. Interview schedules.

Additional file 2. Example of search terms used across databases to retrieve relevant literature.

Iron deficiency anaemia (IDA) is common in older adults and associated with a range of adverse outcomes. Differentiating iron deficiency from other causes of anaemia is important to ensure appropriate investigations and treatment. It is possible to make the diagnosis reliably using simple blood tests. Clinical evaluation and assessment are required to help determine the underlying cause and to initiate appropriate investigations. IDA in men and post-menopausal females is most commonly due to occult gastrointestinal blood loss until proven otherwise, although there is a spectrum of underlying causative pathologies. Investigation decisions should take account of the wishes of the patient and their competing comorbidities, individualising the approach. Management involves supplementation using oral or intravenous (IV) iron then consideration of treatment of the underlying cause of deficiency. Future research areas are outlined including the role of Hepcidin and serum soluble transferrin receptor measurement, quantitative faecal immunochemical testing, alternative dosing regimens and the potential role of IV iron preparations.

Introduction:\ud Linked health care datasets have been used effectively in Scotland for some time. Use of social care data has been much more limited, partly because responsibility for these services is distributed across multiple local authorities. However, there are substantial interactions between health and social care (also known internationally as long-term care) services, and keen policy interest in better understanding these. We introduce two social care resources that can now be linked to health datasets at a population level across Scotland to study these interdependencies. These data emerge from the Scottish Government’s centralised collation of data from mandatory returns provided by local authorities and care homes.\ud \ud Methods:\ud Deterministic and Probabilistic methods were used to match the Social Care Survey (SCS) and Scottish Care Home Census (SCHC) to the Community Health Index (CHI) number via the National Records of Scotland (NRS) Research Indexing Spine.\ud \ud Results:\ud For the years 2010/11 to 2015/16, an overall match rate of 91.2% was achieved for the SCS to CHI from 31 of Scotland’s 32 local authority areas. This rate varied from 76.7% to 98.5% for local authority areas. A match rate of 89.8% to CHI was achieved for the SCHC in years 2012/13 to 2015/16 but only 52.5% for the years 2010/11 to 2011/12.\ud \ud Conclusion:\ud Indexing of the SCS and SCHC to CHI offers a new and rich resource of data for health and social care research.