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Context: In many countries, there is a specification for information that should be collected by care homes. So-called ‘minimum data-sets’ (MDS) are often lengthy, and report on resident health and wellbeing, staff, and facilities. In the UK, the absence of any easily accessible data on the care home population was highlighted at the start of the COVID-19 pandemic. Care homes faced multiple requests for data from external agencies who had little knowledge of what care homes were already collecting. Objective: This study aimed to identify the range (and method) of data collected by care home organisations, in a country without a mandated MDS. Methods: Online survey of care homes (with/without nursing) in England. Care homes recruited via research and care home networks, social media. Questions covered data content, storage, and views on data sharing, analysed with descriptive statistics. Findings: 273 responses were received, representing over 5,000 care homes. Care homes reported extensive data on the health, care and support needs of individual residents, their preferences, and activities. Clinical measures and tools adopted from health were commonly used, but few collected information on quality-of-life. Care homes reported uses of these data that included monitoring care quality, medication use, staff training needs, budgeting, and marketing. Concerns over privacy and data protection regulations are potential barriers to data sharing. Implications: These findings challenge the notion that incentives or mandates are required to stimulate data collection in care homes. Care home organisations are collecting an extensive range of resident-level information for their own uses. Countries considering introducing social care records or an MDS could start by working with care home organisations to review existing data collection and evaluate the implications of collecting and sharing data. A critical approach to the appropriateness of health-related tools in this setting is overdue.

Introduction Health and care data are routinely collected about care home residents in England, yet there is no way to collate these data to inform benchmarking and improvement. The Developing research resources And minimum data set for Care Homes’ Adoption and use study has developed a prototype minimum data set (MDS) for piloting.Methods and analysis A mixed-methods longitudinal pilot study will be conducted in 60 care homes (approximately 960 residents) in 3 regions of England, using resident data from cloud-based digital care home records at two-time points. These will be linked to resident and care home level data held within routine National Health Service and social care data sets. Two rounds of focus groups with care home staff (n=8–10 per region) and additional interviews with external stakeholders (n=3 per region) will explore implementation and the perceived utility of the MDS. Data will be assessed for completeness and timeliness of completion. Descriptive statistics, including percentage floor and ceiling effects, will establish data quality. For validated scales, construct validity will be assessed by hypothesis testing and exploratory factor analysis will establish structural validity. Internal consistency will be established using Cronbach’s alpha. Longitudinal analysis of the pilot data will demonstrate the value of the MDS to each region. Qualitative data will be analysed inductively using thematic analysis to understand the complexities of implementing an MDS in care homes for older people.Ethics and dissemination The study has received ethical approval from the London Queen’s Square Research Ethics Committee (22/LO/0250). Informed consent is required for participation. Findings will be disseminated to: academics working on data use and integration in social care, care sector organisations, policy makers and commissioners. Findings will be published in peer-reviewed journals. Partner NIHR Applied Research Collaborations, the National Care Forum and the British Geriatrics Society will disseminate policy briefs.

Objectives To derive two household context factors - living alone and living in a two-person household with a person who is frail - from routine administrative health data and to assess their association with emergency hospital use in people aged 65 or over.Design Retrospective cohort study using national pseudonymised hospital data and pseudonymised address data derived from a minimised version of the Master Patient Index, a central database of all patient registrations in England.Setting England-wide.Participants 4 876 285 people aged 65 years or older registered at GP practices in England on 16 December 2018 who were living alone or in a household of up to six people, and with at least one hospital admission in the last 3 years.Outcomes Rates of accident and emergency (A&E) attendance and inpatient emergency admissions over a 1-year follow-up period.Results Older people living alone had higher rates of A&E attendances (adjusted rate ratio 1.09, 95% CI 1.09 to 1.10) and emergency admissions (1.14, 95% CI 1.14 to 1.15) than older people living in households of 2–6 people. Older people living with someone with frailty in a two-person household had higher rates of A&E attendance (adjusted rate ratio 1.09, 95% CI 1.08 to 1.10) and emergency admissions (1.10, 95% CI 1.09 to 1.11) than other older people living in a two-person household.Conclusions We show that household context factors can be derived from linked routine administrative health data and that these are strongly associated with higher emergency hospital use in older people. Using household context factors can improve analyses, as well as support in the understanding of local population needs and in population health management.

ObjectivesTo assess the effects of an integrated care pathway on the use of primary and secondary healthcare by patients at high risk of emergency inpatient admission.DesignObservational study of a real-life deployment of integrated care, using patient-level administrative data. Regression analysis was used to compare integrated care patients with matched controls.SettingA deprived, inner city London borough (Tower Hamlets).Participants1720 patients aged 50+ years registered with a general practitioner in Tower Hamlets and at high risk of emergency inpatient admission enrolled onto integrated care during 2014. These patients were matched to control patients, also selected from Tower Hamlets, with respect to demographics, diagnoses of health conditions, previous hospital use and risk score.InterventionsEnrolled patients were eligible for a range of interventions, such as case management, support with self-care and enhanced care coordination. Control patients received usual care.Primary and secondary endpointsNumber of emergency inpatient admissions in the year after enrolment onto integrated care. Secondary endpoints included numbers of elective inpatient admissions, inpatient bed days, accident and emergency attendances, outpatient attendances and general practitioner contacts in the year after enrolment.ResultsThere was no evidence that the integrated care pathway reduced patients’ healthcare utilisation in the first year post-enrolment. Matched controls and integrated care patients were similar at baseline. Following enrolment, integrated care patients were more likely than matched controls to experience elective inpatient admissions (adjusted incidence rate ratio (IRR)=1.27, 95% CI 1.08 to 1.49, p=0.004). They were also more likely to experience general practitioner contacts (adjusted IRR=1.11, 95% CI 1.06 to 1.16, p