Superabsorbent Wound Dressing for Management of Patients With Moderate-to-Highly Exuding Chronic Leg Ulcers: An Early Stage Model-Based Benefit-Harm Assessment.

The aim of the research is to assess the benefit-harm of superabsorbent polymers wound dressings based on polyacrylate polymers (SAPs) compared with standard of care (SoC) dressing mix for patients with moderate-to-highly exuding hard-to-heal leg ulcers. The SoC dressings mix was composed of other superabsorbents in 29% of cases, antimicrobials 26%, foams 20%, alginates 5%, and other dressings 19% weighted according to their frequency. We have used the decision-analytic modeling method, Markov process, as an adequate analytical solution for medical prognosis. We have combined the systematic literature search to identify the most relevant inputs for the analysis, with available patient-level clinical data concerning benefits of superabsorbent to generate a robust prediction of patient-relevant outcomes, including healing rates and health-related quality of life. Besides, we have qualitatively described adverse events associated with those treatments. Our research indicates that SAPs when compared with SoC dressing mix in a patient with moderate-to-highly excluding leg ulcers are leading to an improved healing rate with an absolute risk difference of 2.20% in 6 months and a relative risk of 1.07 in favor of SAP dressings. The attributable fraction among those exposed to SAP dressings of 6.6%, meaning that 6.6% of the healed ulcers could be attributed to having had the SAP dressing treatment instead of the SoC dressing treatment. Besides, SAP dressings lead to improved quality of life measured as incremental quality-adjusted life weeks (QALWs) of 0.13 QALWs.

Validation of an electronic frailty index with electronic health records: eFRAGICAP index.

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.

Primary Care Professionals' Self-Efficacy Surrounding Advance Care Planning and Its Link to Sociodemographics, Background and Perceptions: A Cross-Sectional Study.

Primary care (PC) professionals have been considered the most appropriate practitioners for leading Advance care planning (ACP) processes with advanced chronic patients. AIM: To explore how PC doctors' and nurses' self-efficacy surrounding ACP is linked to their sociodemographic characteristics, background and perceptions of ACP practices. METHODS: A cross-sectional study was performed. Sociodemographics, background and perceptions about ACP in practice were collected using an online survey. The Advance Care Planning Self-Efficacy Spanish (ACP-SEs) scale was used for the self-efficacy measurement. STATISTICAL ANALYSIS: Bivariate, multivariate and backward stepwise logistic regression analyses were performed to identify variables independently related to a higher score on the ACP-SEs. RESULTS: N = 465 participants, 70.04% doctors, 81.47% female. The participants had a mean age of 46.45 years and 66.16% had spent >15 years in their current practice. The logistic regression model showed that scoring ≤ 75 on the ACP-SEs was related to a higher score on feeling sufficiently trained, having participated in ACP processes, perceiving that ACP facilitates knowledge of preferences and values, and perceiving that ACP improves patients' quality of life. CONCLUSION: Professionals with previous background and those who have a positive perception of ACP are more likely to feel able to carry out ACP processes with patients.

The impact of frailty on admission to home care services and nursing homes: eight-year follow-up of a community-dwelling, older adult, Spanish cohort.

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.