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Abstract Objective To create an electronic frailty index (eFRAGICAP) using electronic health records (EHR) in Catalunya (Spain) and assess its predictive validity with a two-year follow-up of the outcomes: homecare need, institutionalization and mortality in the elderly. Additionally, to assess its concurrent validity compared to other standardized measures: the Clinical Frailty Scale (CFS) and the Risk Instrument for Screening in the Community (RISC). Methods The eFRAGICAP was based on the electronic frailty index (eFI) developed in United Kingdom, and includes 36 deficits identified through clinical diagnoses, prescriptions, physical examinations, and questionnaires registered in the EHR of primary health care centres (PHC). All subjects > 65 assigned to a PHC in Barcelona on 1st January, 2016 were included. Subjects were classified according to their eFRAGICAP index as: fit, mild, moderate or severe frailty. Predictive validity was assessed comparing results with the following outcomes: institutionalization, homecare need, and mortality at 24 months. Concurrent validation of the eFRAGICAP was performed with a sample of subjects (n = 333) drawn from the global cohort and the CFS and RISC. Discrimination and calibration measures for the outcomes of institutionalization, homecare need, and mortality and frailty scales were calculated. Results 253,684 subjects had their eFRAGICAP index calculated. Mean age was 76.3 years (59.5% women). Of these, 41.1% were classified as fit, and 32.2% as presenting mild, 18.7% moderate, and 7.9% severe frailty. The mean age of the subjects included in the validation subsample (n = 333) was 79.9 years (57.7% women). Of these, 12.6% were classified as fit, and 31.5% presented mild, 39.6% moderate, and 16.2% severe frailty. Regarding the outcome analyses, the eFRAGICAP was good in the detection of subjects who were institutionalized, required homecare assistance, or died at 24 months (c-statistic of 0.841, 0.853, and 0.803, respectively). eFRAGICAP was also good in the detection of frail subjects compared to the CFS (AUC 0.821) and the RISC (AUC 0.848). Conclusion The eFRAGICAP has a good discriminative capacity to identify frail subjects compared to other frailty scales and predictive outcomes.

Abstract Background Frailty in older adults is a common multidimensional clinical entity, a state of vulnerability to stressors that increases the risk of adverse outcomes such as functional decline, institutionalization or death. The aim of this study is to identify the factors that anticipate the future inclusion of community-dwelling individuals aged ≥70 years in home care programmes (HC) and nursing homes (NH), and to develop the corresponding prediction models. Methods A prospective cohort study was conducted in 23 primary healthcare centers located in Catalonia, Spain, with an eight-year follow-up (2005–2013). The cohort was made up of 616 individuals. Data collection included a baseline multidimensional assessment carried out by primary health care professionals. Outcome variables were collected during follow-up by consulting electronic healthcare records, and the Central Registry of Catalonia for mortality. A prognostic index for a HC and NH at 8 years was estimated for each patient. Death prior to these events was considered a competing risk event, and Fine–Gray regression models were used. Results At baseline, mean age was 76.4 years and 55.5% were women. During follow-up, 19.2% entered a HC program, 8.2% a NH, and 15.4% died without presenting an event. Of those who entered a NH, 31.5% had previously been in a HC program. Multivariate models for a HC and NH showed that the risk of a HC entry was associated with older age, dependence on the Instrumental Activities of Daily Living, and slow gait measured by Timed-up-and-go test. An increased risk of being admitted to a NH was associated with older age, dependence on the Instrumental Activities of Daily Living, number of prescriptions, and the presence of social risk. Conclusions Prognostic models based on comprehensive geriatric assessments can predict the need for the commencement of HC and NH admission in community-dwelling older adults. Our findings underline the necessity to measure functional capacity, mobility, number of prescriptions, and social aspects of older adults in primary healthcare centers. In such a setting they can be offered longitudinal holistic assessments so as to benefit from preventive actions in order to remain independent in the community for as long as possible.

Abstract Background The detection of elder mistreatment is emerging as a public health priority; however, abusive behaviors exercised by caregivers are little known and rarely detected among primary health care professionals. This study aims to estimate the prevalence of risk of abuse against community-residing elderly with moderate to severe dependency whose caregivers are relatives. In addition, we aim to describe the association between such a risk and socio-demographic variables, cognitive and dependency state of the victim, and the scale of the caregiver’s anxiety, depression, and burden. Methods Cross-sectional study developed in 72 Primary Health Care teams from Barcelona, Spain. Participants were caregivers and their dependent care recipients (N = 829). Home interviews included the Caregiver Abuse Screen (CASE); self-reported abuse from care recipient; activities of daily living and cognitive state of the care recipient; anxiety and depression in caregivers and Caregiver Burden Scale. The relationship prior to the dependency, positive aspects of caregiving, and social support for the caregiver were also assessed. Multivariate analysis was performed using logistic regression with risk of abuse as dependent variable. Results Caregivers were mainly women (82.8%) with a mean age of 63.3 years. Caregivers and care recipients lived in the same household in 87.4% of cases, and 86.6% had enjoyed a good previous relationship. Care recipients were women (65.6%), with a mean age of 84.2 years, and 64.2% had moderate to severe cognitive impairment. CASE demonstrated a prevalence of 33.4% (95% CI: 30.3-36.7) of abuse risk by the caregiver. Logistic regression showed as statistically significant: caregiver burden (OR = 2.75; 95% CI: 1.74-4.33), caregiver anxiety (OR = 2.06; 95% CI: 1.40-3.02), caregiver perception of aggressive behavior in the care recipient (OR = 7.24; 95% CI: 4.99-10.51), and a bad previous relationship (OR = 4.66; 95% CI: 1.25-17.4). Conclusions Prevalence of risk of abuse is high among family caregivers. Our study has found risk factors in family caregivers that are preventable to an extent, namely: anxiety and feelings of burden. It is essential to become aware of these risk factors and their causes to intervene and help primary as well secondary prevention.