A Technological Tool Aimed at Self-Care in Patients With Multimorbidity: Cross-Sectional Usability Study.

BACKGROUND: Information and communication technologies (ICTs) have been positioned as useful tools to facilitate self-care. The interaction between a patient and technology, known as usability, is particularly important for achieving positive health outcomes. Specific characteristics of patients with chronic diseases, including multimorbidity, can affect their interaction with different technologies. Thus, studying the usability of ICTs in the field of multimorbidity has become a key element to ensure their relevant role in promoting self-care. OBJECTIVE: The aim of this study was to analyze the usability of a technological tool dedicated to health and self-care in patients with multimorbidity in primary care. METHODS: A descriptive observational cross-sectional usability study was performed framed in the clinical trial in the primary care health centers of Madrid Health Service of the TeNDER (Affective Based Integrated Care for Better Quality of Life) project. The TeNDER technological tool integrates sensors for monitoring physical and sleep activity along with a mobile app for consulting the data collected and working with self-management tools. This project included patients over 60 years of age who had one or more chronic diseases, at least one of which was mild-moderate cognitive impairment, Parkinson disease, or cardiovascular disease. From the 250 patients included in the project, 38 agreed to participate in the usability study. The usability variables investigated were effectiveness, which was determined by the degree of completion and the total number of errors per task; efficiency, evaluated as the average time to perform each task; and satisfaction, quantified by the System Usability Scale. Five tasks were evaluated based on real case scenarios. Usability variables were analyzed according to the sociodemographic and clinical characteristics of patients. A logistic regression model was constructed to estimate the factors associated with the type of support provided for task completion. RESULTS: The median age of the 38 participants was 75 (IQR 72.0-79.0) years. There was a slight majority of women (20/38, 52.6%) and the participants had a median of 8 (IQR 7.0-11.0) chronic diseases. Thirty patients completed the usability study, with a usability effectiveness result of 89.3% (134/150 tasks completed). Among the 30 patients, 66.7% (n=20) completed all tasks and 56.7% (17/30) required personalized help on at least one task. In the multivariate analysis, educational level emerged as a facilitating factor for independent task completion (odds ratio 1.79, 95% CI 0.47-6.83). The median time to complete the total tasks was 296 seconds (IQR 210.0-397.0) and the median satisfaction score was 55 (IQR 45.0-62.5) out of 100. CONCLUSIONS: Although usability effectiveness was high, the poor efficiency and usability satisfaction scores suggest that there are other factors that may interfere with the results. Multimorbidity was not confirmed to be a key factor affecting the usability of the technological tool. TRIAL REGISTRATION: Clinicaltrials.gov NCT05681065; https://clinicaltrials.gov/study/NCT05681065.

Patterns of multimorbidity in primary care electronic health records: A systematic review.

Background: Multimorbidity, the coexistence of multiple chronic conditions in an individual, is a complex phenomenon that is highly prevalent in primary care settings, particularly in older individuals. This systematic review summarises the current evidence on multimorbidity patterns identified in primary care electronic health record (EHR) data. Methods: Three databases were searched from inception to April 2022 to identify studies that derived original multimorbidity patterns from primary care EHR data. The quality of the included studies was assessed using a modified version of the Newcastle-Ottawa Quality Assessment Scale. Results: Sixteen studies were included in this systematic review, none of which was of low quality. Most studies were conducted in Spain, and only one study was conducted outside of Europe. The prevalence of multimorbidity (i.e. two or more conditions) ranged from 14.0% to 93.9%. The most common stratification variable in disease clustering models was sex, followed by age and calendar year. Despite significant heterogeneity in clustering methods and disease classification tools, consistent patterns of multimorbidity emerged. Mental health and cardiovascular patterns were identified in all studies, often in combination with diseases of other organ systems (e.g. neurological, endocrine). Discussion: These findings emphasise the frequent coexistence of physical and mental health conditions in primary care, and provide useful information for the development of targeted preventive and management strategies. Future research should explore mechanisms underlying multimorbidity patterns, prioritise methodological harmonisation to facilitate the comparability of findings, and promote the use of EHR data globally to enhance our understanding of multimorbidity in more diverse populations.

COVID persistente: prevalencia, seguimiento y uso de recursos en Atención Primaria / Long COVID: prevalence, monitoring and use of resources in Primary Care

Objetivo: estimar la prevalencia de la COVID persistente, signos y síntomas, y uso de recursos en pacientes en Atención Primaria (AP). Métodos: estudio observacional, descriptivo y retrospectivo de una serie de casos realizado en AP. Se incluyeron pacientes mayores de 18 años positivos para SARS-CoV-2 del 29 de febrero al 15 de abril de 2020. Se registraron variables clínicas y de uso de recursos, desde 4 hasta 39 semanas tras el diagnóstico. Resultados: la edad media de los 267 pacientes fue 57 años (desviación estándar [DE]: 16,0), siendo el 55,8% mujeres. La prevalencia de la COVID persistente fue del 45,7% (intervalo de confianza [IC] 95%: 39,6-51,9), y el 53,3% tuvo síntomas más de 12 semanas. Los síntomas más comunes fueron disnea (45,1%; IC 95%: 36,1-54,3), astenia (42,6%; IC 95%: 33,7-51,9), tos (24,6%; IC 95%: 17,2-33,2) y trastornos neuropsiquiátricos (18%; IC 95%: 11,7-26). El 98,4% de pacientes con COVID persistente precisó seguimiento en AP, con 6,7 (DE: 5,0) citas de media. El 45,1% necesitó pruebas de laboratorio; el 34,4%, radiografías de tórax, y el 41,8%, baja laboral. El 20,5% requirió derivaciones hospitalarias, frente al 3,4% en pacientes sin COVID persistente. Los factores asociados a mayor número de citas con AP incluyeron padecer COVID persistente (razón de riesgo de incidencia [RRI]: 2,9; IC 95%: 2,5-3,4) y precisar baja laboral (RRI: 2,4, IC 95%: 2,1-2,9). Conclusión: casi la mitad de los pacientes seguidos en la primera ola desarrollaron COVID persistente. Los síntomas persistentes más frecuentes fueron disnea, astenia y tos. El uso de recursos fue hasta seis veces mayor en pacientes con COVID persistente, frente a aquellos que no lo desarrollaron. (AU)

Aim: to estimate the prevalence of long COVID, its signs and symptoms and use of resources in adult patients in primary care (PC). Methods: an observational, descriptive, retrospective case series study performed in primary care. Patients older than 18 years positive for SARS-CoV-2 from 29 February until 15 April 2020 were included. Variables related to clinical symptoms and use of resources were recorded from four weeks after diagnosis up to 39 weeks. Results: mean age of the 267 patients was 57 years old (16.0 SD); 55,8% were women. In the acute phase, 61.8% of patients required hospitalization and 43.8% suffered bilateral pneumonia. Long COVID prevalence was 45,7% (95% CI 39.6-51.9), and 53.3% had symptoms lasting longer than 12 weeks. Most common symptoms were dyspnoea (45.1%, 95% CI 36.1-54.3), asthenia (42.6%, 95% CI 33.7-51.9), cough (24.6%, 95% CI 17.2-33.2) and neuropsychiatric disorders (18%, 95% CI 11.7-26.0). A total of 98.4% of long COVID patients contacted primary care during follow-up, with 6.7 (5.0 SD) contacts on average. A total of 45.1%, 34.4% and 41.8% underwent laboratory tests, chest x-rays and required work leave, respectively. Long COVID patients needed more hospital referrals (20.5%) compared to those who did not develop this (3.4%). Factors associated with more primary care appointments included developing long COVID (IRR 2.9, 95% CI 2.5-3.4) and requiring a work leave (IRR 2.4, 95% CI 2.1-2.9). Conclusion: virtually half of patients developed long COVID. Most common chronic symptoms were dyspnoea, asthenia and cough. Use of resources was two to six times greater among long COVID patients, in contrast to those who did not develop long COVID. (AU)

Sex and income inequalities in preventive services in diabetes.

BACKGROUND: Cancer preventive services (gynaecological cancer screening, colon cancer screening) and cardiometabolic screening are recommended by guidelines to individuals. People with diabetes were less likely to receive them than those without diabetes in some studies. OBJECTIVES: To analyse differences in the coverage of preventive services in people with diabetes compared to non-diabetic individuals and in people with diabetes according to sex and household income. METHODS: We analysed data collected from the European Health Interview Survey 2013-2015, including individuals aged 40-74 (n = 179,318), 15,172 with diabetes from 29 countries. The income of a household (HHI) was described in quintiles. The relationship between the coverage of preventive services (cardiometabolic, vaccination, cancer screening) and sociodemographic characteristics was analysed with multiple logistic regression. RESULTS: Women comprised 53.8% of the total and 40% were 60-74 years. People with diabetes compared to those without diabetes had higher reported coverage of cardiometabolic screening (98.4% vs. 90.0% in cholesterol measurement; 97.0% vs. 93.6% in blood pressure measurement), colorectal cancer screening (27.1% vs. 24.6%) but lower coverage of gynaecological cancer screening (mammography: 29.2% vs. 33.5%, pap smear test: 28.3% vs. 37.9%). Among diabetic patients, women were less likely to receive cholesterol screening (OR = 0.81; 95% CI: 0.72-0.91) and colon cancer screening (OR = 0.79; 95% CI: 0.73-0.86) compared to men. Being affluent was positively associated with receiving cardiometabolic screening and mammography in diabetic patients. CONCLUSION: People with diabetes reported higher coverage of preventive services except gynaecological cancer screening. Disparities were found in diabetes among women and less affluent individuals.

Effectiveness of a game-based educational strategy e-EDUCAGUIA for implementing antimicrobial clinical practice guidelines in family medicine residents in Spain: a randomized clinical trial by cluster.

BACKGROUND: Clinical practice guidelines (CPGs) have teaching potential for health professionals in training clinical reasoning and decision-making, although their use is limited. The objective was to evaluate the effectiveness of a game-based educational strategy e-EDUCAGUIA using simulated clinical scenarios to implement an antimicrobial therapy GPC compared to the usual dissemination strategies to improve the knowledge and skills on decision-making of family medicine residents. Additionally, adherence to e-EDUCAGUIA strategy was assessed. METHODS: A multicentre pragmatic cluster-randomized clinical trial was conducted involving seven Teaching Units (TUs) of family medicine in Spain. TUs were randomly allocated to implement an antimicrobial therapy guideline with e-EDUCAGUIA strategy ( intervention) or passive dissemination of the guideline (control). The primary outcome was the differences in means between groups in the score test evaluated knowledge and skills on decision-making at 1 month post intervention. Analysis was made by intention-to-treat and per-protocol analysis. Secondary outcomes were the differences in mean change intrasubject (from the baseline to the 1-month) in the test score, and educational game adherence and usability. Factors associated were analysed using general linear models. Standard errors were constructed using robust methods. RESULTS: Two hundred two family medicine residents participated (104 intervention group vs 98 control group). 100 medicine residents performed the post-test at 1 month (45 intervention group vs 55 control group), The between-group difference for the mean test score at 1 month was 11 ( 8.67 to 13.32) and between change intrasubject was 11,9 ( 95% CI 5,9 to 17,9). The effect sizes were 0.88 and 0.75 respectively. In multivariate analysis, for each additional evidence-based medicine training hour there was an increase of 0.28 points (95% CI 0.15-0.42) in primary outcome and in the change intrasubject each year of increase in age was associated with an improvement of 0.37 points and being a woman was associated with a 6.10-point reduction. 48 of the 104 subjects in the intervention group (46.2%, 95% CI: 36.5-55.8%) used the games during the month of the study. Only a greater number of evidence-based medicine training hours was associated with greater adherence to the educational game ( OR 1.11; CI 95% 1.02-1.21). CONCLUSIONS: The game-based educational strategy e-EDUCAGUIA shows positive effects on the knowledge and skills on decision making about antimicrobial therapy for clinical decision-making in family medicin residents in the short term, but the dropout was high and results should be interpreted with caution. Adherence to educational games in the absence of specific incentives is moderate. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02210442 . Registered 6 August 2014.

[What have we missed because of COVID-19? Missed diagnoses and delayed follow-ups. SESPAS Report 2022]. / ¿Qué hemos dejado de atender por la COVID-19? Diagnósticos perdidos y seguimientos demorados. Informe SESPAS 2022.

The COVID-19 pandemic and the associated public health emergency have affected patients and health services in non-COVID-19 pathologies. Several studies have shown its dissociation from health services, with a decrease in emergency department visits, in hospital admissions for non-COVID-19 pathologies, as well as in the reported weekly incidence of acute illnesses and new diagnoses in primary care. In parallel, the pandemic has had direct and indirect effects on people with chronic diseases; the difficulties in accessing health services, the interruption of care, the saturation of the system itself and its reorientation towards non-face-to-face formats has reduced the capacity to prevent or control chronic diseases. All this has also had an impact on the different areas of people's lives, creating new social and economic difficulties, or aggravating those that existed before the pandemic. All these circumstances have changed with each epidemic wave. We present a review of the most relevant studies that have been analyzing this problem and incorporate as a case study the results of a retrospective observational study carried out in Primary Care in the Madrid Health Service, which provides health coverage to a population of more than 6 million people, and whose objective was to analyze the loss of new diagnoses in the most prevalent pathologies such as common mental health problems, cardiovascular and cerebrovascular diseases, type 2 diabetes, chronic obstructive pulmonary disease, and breast and colon tumors, in the first and second waves. Annual incidence rates with their confidence interval were calculated for each pathology and the monthly frequency of new codes recorded between 1/01/2020 and 12/31/2020 was compared with the monthly mean of observed counts for the same months between 2016 and 2019. The annual incidence rate for all processes studied decreased in 2020 except for anxiety disorders. Regarding the recovery of lost diagnoses, heart failure is the only diagnosis showing an above-average recovery after the first wave. To return to pre-pandemic levels of diagnosis and follow-up of non-COVID-19 pathology, the healthcare system must reorganize and contemplate specific actions for the groups at highest risk.

Effectiveness of the MULTIPAP Plus intervention in youngest-old patients with multimorbidity and polypharmacy aimed at improving prescribing practices in primary care: study protocol of a cluster randomized trial.

BACKGROUND: The progressive ageing of the population is leading to an increase in multimorbidity and polypharmacy, which in turn may increase the risk of hospitalization and mortality. The enhancement of care with information and communications technology (ICT) can facilitate the use of prescription evaluation tools and support system for decision-making (DSS) with the potential of optimizing the healthcare delivery process. OBJECTIVE: To assess the effectiveness and cost-effectiveness of the complex intervention MULTIPAP Plus, compared to usual care, in improving prescriptions for young-old patients (65-74 years old) with multimorbidity and polypharmacy in primary care. METHODS/DESIGN: This is a pragmatic cluster-randomized clinical trial with a follow-up of 18 months in health centres of the Spanish National Health System. Unit of randomization: family physician. Unit of analysis: patient. POPULATION: Patients aged 65-74 years with multimorbidity (≥ 3 chronic diseases) and polypharmacy (≥ 5 drugs) during the previous 3 months were included. SAMPLE SIZE: n = 1148 patients (574 per study arm). INTERVENTION: Complex intervention based on the ARIADNE principles with three components: (1) family physician (FP) training, (2) FP-patient interview, and (3) decision-making support system. OUTCOMES: The primary outcome is a composite endpoint of hospital admission or death during the observation period measured as a binary outcome, and the secondary outcomes are number of hospital admission, all-cause mortality, use of health services, quality of life (EQ-5D-5L), functionality (WHODAS), falls, hip fractures, prescriptions and adherence to treatment. Clinical and sociodemographic factors will be explanatory variables. STATISTICAL ANALYSIS: The main result is the difference in percentages in the final composite endpoint variable at 18 months, with its corresponding 95% CI. Adjustments by the main confounding and prognostic factors will be performed through a multilevel analysis. All analyses will be carried out in accordance to the intention-to-treat principle. DISCUSSION: It is important to prevent the cascade of negative health and health care impacts attributable to the multimorbidity-polypharmacy binomial. ICT-enhanced routine clinical practice could improve the prescription process in patient care. TRIAL REGISTRATION: ClinicalTrials.gov NCT04147130 . Registered on 22 October 2019.

How to Improve Healthcare for Patients with Multimorbidity and Polypharmacy in Primary Care: A Pragmatic Cluster-Randomized Clinical Trial of the MULTIPAP Intervention.

(1) Purpose: To investigate a complex MULTIPAP intervention that implements the Ariadne principles in a primary care population of young-elderly patients with multimorbidity and polypharmacy and to evaluate its effectiveness for improving the appropriateness of prescriptions. (2) Methods: A pragmatic cluster-randomized clinical trial was conducted involving 38 family practices in Spain. Patients aged 65-74 years with multimorbidity and polypharmacy were recruited. Family physicians (FPs) were randomly allocated to continue usual care or to provide the MULTIPAP intervention based on the Ariadne principles with two components: FP training (eMULTIPAP) and FP patient interviews. The primary outcome was the appropriateness of prescribing, measured as the between-group difference in the mean Medication Appropriateness Index (MAI) score change from the baseline to the 6-month follow-up. The secondary outcomes were quality of life (EQ-5D-5 L), patient perceptions of shared decision making (collaboRATE), use of health services, treatment adherence, and incidence of drug adverse events (all at 1 year), using multi-level regression models, with FP as a random effect. (3) Results: We recruited 117 FPs and 593 of their patients. In the intention-to-treat analysis, the between-group difference for the mean MAI score change after a 6-month follow-up was -2.42 (95% CI from -4.27 to -0.59) and, between baseline and a 12-month follow-up was -3.40 (95% CI from -5.45 to -1.34). There were no significant differences in any other secondary outcomes. (4) Conclusions: The MULTIPAP intervention improved medication appropriateness sustainably over the follow-up time. The small magnitude of the effect, however, advises caution in the interpretation of the results given the paucity of evidence for the clinical benefit of the observed change in the MAI. Trial registration: Clinicaltrials.gov NCT02866799.

Psychological impact of the COVID-19 pandemic on primary care workers: a cross-sectional study.

BACKGROUND: The COVID-19 pandemic has had a major impact on the mental health of healthcare workers, yet studies in primary care workers are scarce. AIM: To investigate the prevalence of and associated factors for psychological distress in primary care workers during the first COVID-19 outbreak. DESIGN AND SETTING: This was a multicentre, cross-sectional, web-based survey conducted in primary healthcare workers in Spain, between May and September 2020. METHOD: Healthcare workers were invited to complete a survey to evaluate sociodemographic and work-related characteristics, COVID-19 infection status, exposure to patients with COVID-19, and resilience (using the Connor-Davidson Resilience Scale), in addition to being screened for common mental disorders (depression, anxiety disorders, post-traumatic stress disorder, panic attacks, and substance use disorder). Positive screening for any of these disorders was analysed globally using the term 'any current mental disorder'. RESULTS: A total of 2928 primary care professionals participated in the survey. Of them, 43.7% (95% confidence interval [CI] = 41.9 to 45.4) tested positive for a current mental disorder. Female sex (odds ratio [OR] 1.61, 95% CI = 1.25 to 2.06), having previous mental disorders (OR 2.58, 95% CI = 2.15 to 3.10), greater occupational exposure to patients with COVID-19 (OR 2.63, 95% CI = 1.98 to 3.51), having children or dependents (OR 1.35, 95% CI = 1.04 to 1.76 and OR 1.59, 95% CI = 1.20 to 2.11, respectively), or having an administrative job (OR 2.24, 95% CI = 1.66 to 3.03) were associated with a higher risk of any current mental disorder. Personal resilience was shown to be a protective factor. CONCLUSION: Almost half of primary care workers showed significant psychological distress. Strategies to support the mental health of primary care workers are necessary, including designing psychological support and resilience-building interventions based on risk factors identified.

Salud autopercibida en ancianos jóvenes españoles y portugueses tras la recesión según la Encuesta Europea de Salud: un estudio transversal / Self-perceived health in Spanish and Portuguese young seniors after the great recession according to the European Health Survey: A cross-sectional study

Objetivo: Describir el estado de salud autopercibida (SAP) en la población de entre 65 y 74años de España y Portugal y analizar los factores asociados a buena salud medidos en la Encuesta Europea de Salud (European Health Interview Survey [EHIS]) de 2014. Diseño: Análisis retrospectivo de datos secundarios provenientes de la EHIS de 2014. Ámbito: Comunitario. Participantes: Se analizaron todos los individuos entre 65 y 74años de España y Portugal encuestados con datos disponibles. Mediciones principales: Se recogió la SAP en cinco niveles (de muy buena a muy mala) con escala Likert, variables sociodemográficas, clínicas, enfermedades crónicas, estilos de vida y utilización de recursos sanitarios. Se realizó un análisis multivariante mediante un modelo de regresión logística (muy buena/buena SAP vs resto) para estudiar el efecto del país ajustado por los diferentes factores sociodemográficos, clínicos y/o de estilos de vida usando estimadores robustos. Resultados: Se estudió un total de 5.977 sujetos, de los cuales el 42,6% eran hombres y el 57,5% mujeres. La buena SAP varió entre países (52,9% España vs. 19% Portugal; p<0,001) y sexos (44% hombres vs. 31,3% mujeres; p<0,001). Ambos países presentaron elevada multimorbilidad (64,7% España vs. Portugal 76,3%; p<0,001), aunque la distribución de enfermedades crónicas no difirió, salvo depresión (13,2% España vs. 20,3% Portugal; p<0,001). Entre los factores individuales relacionados con la buena SAP encontramos la nacionalidad española (OR: 4,52; IC95%: 4,05-5,04), el sexo masculino (OR: 1,10; IC95%: 1,01-2,21), haber completado la enseñanza primaria (OR: 1,28; IC95%: 1,24-1,31) o superior (OR: 2,43; IC95%: 1,14-5,17) frente a estudios primarios incompletos, y realizar ejercicio físico dos o más días por semana (OR: 1,87; IC95%: 1,39-2,5). Factores que afectan negativamente la SAP fueron la presencia de multimorbilidad (OR: 0,19; IC95%: 0,12-0,31) y la depresión (OR: 0,32; IC95%: 0,25-0,41).(AU)

Objective: The aim of this study is to describe self-perceived health (SPH) in Spanish and Portuguese population aged between 65 and 74years old and to analyze other associated factors measured in the European Health Interview Survey (EHIS) in 2014. Design: Retrospective secondary data analysis from EHIS 2014. Setting: Community based. Participants: Young seniors, people aged 65-74years old surveyed and with available data from two countries. Main measurements: For each country and sex, SPH, sociodemographic variables, clinical chronic conditions, lifestyles and utilization of health care resources were described. A multiple logistic regression (very good or good SPH versus remaining levels) with robust estimators was used to assess the country effect adjusted by sociodemographic factors, clinical factors and/or lifestyles. Results: Good SPH showed variation by country (52.9% Spain vs. 19% Portugal; P<.001) and gender (44% men vs. 31.3% women; P<.001). Both countries had high prevalence of multimorbidity (64.7% Spain vs. 76.3% Portugal; P<.001) and the distribution of chronic diseases was similar with the only exception of depression (13.2% Spain vs. 20.3% Portugal; P<.001). Regarding individual factors related with good SPH we found Spanish nationality (OR: 4.52; 95%CI: 4.05-5.04), male gender (OR: 1.10; 95%CI: 1.101-2.21), education level, completing primary school (OR: 1.28; 95%CI: 1.24-1.31) or achieving tertiary level (OR: 2.43; 95%CI: 1.14-5.17) and physical activity of two or more days per week (OR: 1.87; 95%CI: 1.39-2.5). Factors with a negative impact on SPH were multimorbidity (OR: 0.19; 95%CI: 0.12-0.31) and depression (OR: 0.32; 95%CI: 0.25-0.41). Discussion: Good SPH is higher in Spanish young seniors compared to Portuguese. Having higher level of education achieved and practicing regular physical exercise were two most important factors increasing good SPH.(AU)

Effectiveness of a home-based nursing support and cognitive restructuring intervention on the quality of life of family caregivers in primary care: A pragmatic cluster-randomized controlled trial.

BACKGROUND: Caregivers of patients with chronic conditions or disability experience fatigue, burden and poor health-related quality of life. There is evidence of the effectiveness of support interventions for decreasing this impact. However, little is known about the benefits of home-based nursing intervention in primary health care. OBJECTIVES: To evaluate the effectiveness of a home-based, nurse-led-intervention (CuidaCare) on the quality of life of caregivers of individuals with disabilities or chronic conditions living in the community, measured at 12-month follow-up. METHODS: A pragmatic, two-arm, cluster-randomized controlled trial with a 1-year follow-up period was performed between June 2013 and December 2015. Consecutive caregivers aged 65 years or older, all of whom assumed the primary responsibility of caring for people with disabling conditions for at least 6 months a year, were recruited from 22 primary health care centers. Subsequently, 11 centers were randomly assigned to usual care group, and 11 were assigned to the intervention group. The caregivers in the intervention group received the usual care and additional support (cognitive restructuring, health education and emotional support). The primary outcome was quality of life, assessed with the EQ-5D instrument (visual analog scale and utility index score); the secondary outcome variables were perception of burden, anxiety, and depression. Data were collected at baseline, at the end of the intervention, and at the 6- and 12-month follow-up visits. We analyzed the primary outcome as intention-to-treat, and missing data were added using the conditional mean single imputation method. RESULTS: A total of 224 caregivers were included in the study (102 in the intervention group and 122 in the usual care group). Generalized Estimating Equation models showed that the CuidaCare intervention was associated with a 5.46 point (95% CI: 2.57; 8.35) change in the quality of life, as measured with the visual analog scale adjusted for the rest of the variables at 12 months. It also produced an increase of 0.04 point (95% CI: 0.01; 0.07) in the utilities. No statistically significant differences were found between the two groups at 12 months with respect to the secondary outcomes. CONCLUSIONS: The findings suggest that incorporating a home-based, nurse-led-intervention for caregivers into primary care can improve the health-related quality of life of caregivers of patients with chronic or disabling conditions.

Drug interactions detected by a computer-assisted prescription system in primary care patients in Spain: MULTIPAP study.

BACKGROUND: Drug interactions increase the risk of treatment failure, intoxication, hospital admissions, consultations and mortality. Computer-assisted prescription systems can help to detect interactions. OBJECTIVES: To describe the drug-drug interaction (DDI) and drug-disease interaction (DdI) prevalence identified by a computer-assisted prescription system in patients with multimorbidity and polypharmacy. Factors associated with clinically relevant interactions were analysed. METHODS: Observational, descriptive, cross-sectional study in primary health care centres was undertaken in Spain. The sample included 593 patients aged 65-74 years with multimorbidity and polypharmacy participating in the MULTIPAP Study, recruited from November 2016 to January 2017. Drug interactions were identified by a computer-assisted prescription system. Descriptive, bivariate, and multivariate analyses with logistic regression models and robust estimators were performed. RESULTS: Half (50.1% (95% CI 46.1-54.1)) of the patients had at least one relevant DDI and 23.9% (95% CI 18.9-25.6) presented with a DdI. Non-opioid-central nervous system depressant drug combinations and benzodiazepine-opioid drug combinations were the two most common clinically relevant interactions (10.8% and 5.9%, respectively). Factors associated with DDI were the use of more than 10 drugs (OR 11.86; 95% CI 6.92-20.33) and having anxiety/depressive disorder (OR 1.98; 95% CI 1.31-2.98). Protective factors against DDI were hypertension (OR 0.62; 95% CI 0.41-0.94), diabetes (OR 0.57; 95% CI 0.40-0.82), and ischaemic heart disease (OR 0.43; 95% CI 0.25-0.74). CONCLUSION: Drug interactions are prevalent in patients aged 65-74 years with multimorbidity and polypharmacy. The clinically relevant DDI frequency is low. The number of prescriptions taken is the most relevant factor associated with presenting a clinically relevant DDI.

[Self-perceived health in Spanish and Portuguese young seniors after the great recession according to the European Health Survey: A cross-sectional study]. / Salud autopercibida en ancianos jóvenes españoles y portugueses tras la recesión según la Encuesta Europea de Salud: un estudio transversal.

OBJECTIVE: The aim of this study is to describe self-perceived health (SPH) in Spanish and Portuguese population aged between 65 and 74years old and to analyze other associated factors measured in the European Health Interview Survey (EHIS) in 2014. DESIGN: Retrospective secondary data analysis from EHIS 2014. SETTING: Community based. PARTICIPANTS: Young seniors, people aged 65-74years old surveyed and with available data from two countries. MAIN MEASUREMENTS: For each country and sex, SPH, sociodemographic variables, clinical chronic conditions, lifestyles and utilization of health care resources were described. A multiple logistic regression (very good or good SPH versus remaining levels) with robust estimators was used to assess the country effect adjusted by sociodemographic factors, clinical factors and/or lifestyles. RESULTS: Good SPH showed variation by country (52.9% Spain vs. 19% Portugal; P<.001) and gender (44% men vs. 31.3% women; P<.001). Both countries had high prevalence of multimorbidity (64.7% Spain vs. 76.3% Portugal; P<.001) and the distribution of chronic diseases was similar with the only exception of depression (13.2% Spain vs. 20.3% Portugal; P<.001). Regarding individual factors related with good SPH we found Spanish nationality (OR: 4.52; 95%CI: 4.05-5.04), male gender (OR: 1.10; 95%CI: 1.101-2.21), education level, completing primary school (OR: 1.28; 95%CI: 1.24-1.31) or achieving tertiary level (OR: 2.43; 95%CI: 1.14-5.17) and physical activity of two or more days per week (OR: 1.87; 95%CI: 1.39-2.5). Factors with a negative impact on SPH were multimorbidity (OR: 0.19; 95%CI: 0.12-0.31) and depression (OR: 0.32; 95%CI: 0.25-0.41). DISCUSSION: Good SPH is higher in Spanish young seniors compared to Portuguese. Having higher level of education achieved and practicing regular physical exercise were two most important factors increasing good SPH.

Characteristics of a COVID-19 confirmed case series in primary care (COVID-19-PC project): a cross-sectional study.

BACKGROUND: To estimate the prevalence of symptoms and signs related to a COVID-19 case series confirmed by polymerase chain reaction (PCR) for SARS-CoV-2. Risk factors and the associated use of health services will also be analysed. METHODS: Observational, descriptive, retrospective case series study. The study was performed at two Primary Care Health Centres located in Madrid, Spain. The subjects studied were all PCR SARS-CoV-2 confirmed cases older than 18 years, diagnosed from the beginning of the community transmission (March 13) until April 15, 2020. We collected sociodemographic, clinical, health service utilization and clinical course variables during the following months. All data was gathered by their own attending physician, and electronic medical records were reviewed individually. STATISTICAL ANALYSIS: A descriptive analysis was carried out and a Poisson regression model was adjusted to study associated factors to Health Services use. RESULTS: Out of the 499 patients studied from two health centres, 55.1% were women and mean age was 58.2 (17.3). 25.1% were healthcare professionals. The most frequent symptoms recorded related to COVID-19 were cough (77.9%; CI 95% 46.5-93.4), fever (77.7%; CI95% 46.5-93.4) and dyspnoea (54.1%, CI95% 46.6-61.4). 60.7% were admitted to hospital. 64.5% first established contact with their primary care provider before going to the hospital, with a mean number of 11.4 Healthcare Providers Encounters with primary care during all the follow-up period. The number of visit-encounters with primary care was associated with being male [IRR 1.072 (1.013, 1.134)], disease severity {from mild respiratory infection [IRR 1.404 (1.095, 1.801)], up to bilateral pneumonia [IRR 1.852 (1.437,2.386)]}, and the need of a work leave [IRR 1.326 (1.244, 1.413]. CONCLUSION: Symptoms and risk factors in our case series are similar to those in other studies. There was a high number of patients with atypical unilateral or bilateral pneumonia. Care for COVID has required a high use of healthcare resources such as clinical encounters and work leaves.

Correction: Use of an Electronic Clinical Decision Support System in Primary Care to Assess Inappropriate Polypharmacy in Young Seniors With Multimorbidity: Observational, Descriptive, Cross-Sectional Study.

[This corrects the article DOI: 10.2196/14130.].

Potentially inappropriate prescriptions according to explicit and implicit criteria in patients with multimorbidity and polypharmacy. MULTIPAP: A cross-sectional study.

BACKGROUND: Multimorbidity is a global health challenge that is associated with polypharmacy, increasing the risk of potentially inappropriate prescribing (PIP). There are tools to improve prescription, such as implicit and explicit criteria. OBJECTIVE: To estimate the prevalence of PIP in a population aged 65 to 74 years with multimorbidity and polypharmacy, according to American Geriatrics Society Beers Criteria® (2015, 2019), the Screening Tool of Older Person's Prescription -STOPP- criteria (2008, 2014), and the Medication Appropriateness Index -MAI- criteria in primary care. METHODS: This was an observational, descriptive, cross-sectional study. The sample included 593 community-dwelling elderly aged 65 to 74 years, with multimorbidity and polypharmacy, who participated in the MULTIPAP trial. Socio-demographic, clinical, professional, and pharmacological-treatment variables were recorded. Potentially inappropriate prescribing was detected by computerized prescription assistance system, and family doctors evaluated the MAI. The MAI-associated factors were analysed using a logistic regression model. RESULTS: A total of 4,386 prescriptions were evaluated. The mean number of drugs was 7.4 (2.4 SD). A total of 94.1% of the patients in the study had at least one criterion for drug inappropriateness according to the MAI. Potentially inappropriate prescribing was detected in 57.7%, 43.6%, 68.8% and 71% of 50 patients according to the explicit criteria STOPP 2014, STOPP 2008, Beers 2019 and Beers 2015 respectively. For every new drug taken by a patient, the MAI score increased by 2.41 (95% CI 1.46; 3.35) points. Diabetes, ischaemic heart disease and asthma were independently associated with lower summated MAI scores. CONCLUSIONS: The prevalence of potentially inappropriate prescribing detected in the sample was high and in agreement with previous literature for populations with multimorbidity and polypharmacy. The MAI criteria detected greater inappropriateness than did the explicit criteria, but their application was more complex and difficult to automate.

Social support, social context and nonadherence to treatment in young senior patients with multimorbidity and polypharmacy followed-up in primary care. MULTIPAP Study.

OBJECTIVE: To estimate the prevalence of nonadherence to treatment and its relationship with social support and social context in patients with multimorbidity and polypharmacy followed-up in primary care. METHODS: This was an observational, descriptive, cross-sectional, multicenter study with an analytical approach. A total of 593 patients between 65-74 years of age with multimorbidity (≥3 diseases) and polypharmacy (≥5 drugs) during the last three months and agreed to participate in the MULTIPAP Study. The main variable was adherence (Morisky-Green). The predictors were social support (structural support and functional support (DUFSS)); sociodemographic variables; indicators of urban objective vulnerability; health-related quality of life (EQ-5D-5L-VAS & QALY); and clinical variables. Descriptive, bivariate and multivariate analyses with logistic regression models and robust estimators were performed. RESULTS: Four out of ten patients were nonadherent, 47% had not completed primary education, 28.7% had an income ≤1050 €/month, 35% reported four or more IUVs, and the average perceived health-related quality of life (HRQOL) EQ-5D-5L-VAS was 65.5. The items that measure functional support, with significantly different means between nonadherent and adherent patients were receiving love and affection (-0.23; 95%CI: -0.40;-0.06), help when ill (-0.25; 95%CI: -0.42;-0.08), useful advice (-0.20; 95%CI: -0.37;-0.02), social invitations (-0.22; 95%CI:-0.44;-0.01), and recognition (-0.29; 95%CI:-0.50;-0.08). Factors associated with nonadherence were belonging to the medium vs. low tertile of functional support (0.62; 95%CI: 0.42;0.94), reporting less than four IUVs (0.69; 95%CI: 0.46;1.02) and higher HRQOL perception (0.98; 95%CI: 0.98;0.99). CONCLUSIONS: Among patients 65-74 years of age with multimorbidity and polypharmacy, lower functional support was related to nonadherence to treatment. The nonadherence decreased in those patients with higher functional support, lower urban vulnerability and higher perceived health status according to the visual analog scale of health-related quality of life.

MULTIPAP Study: Improving healthcare for patients with multimorbidity.

BACKGROUND: The steady rise in multimorbidity entails serious consequences for our populations, challenges healthcare systems, and calls for specific clinical approaches of proven effectiveness. The MULTIPAP Study comprises three sequential projects (MULTIPAP and MULTIPAP Plus RCTs, and the MULTIPAP Cohort). Results of MULTIPAP RCT are presented. AIM: To evaluate the effectiveness of a complex, patient-centred intervention in young-old patients with multimorbidity and polypharmacy. METHOD: Pragmatic cluster-randomised clinical trial in a primary healthcare setting. GPs were randomly allocated to either conventional care or the MULTIPAP intervention based on the Ariadne Principles with two components: GPs e-training (that is, eMULTIPAP addresses specific, key concepts on multimorbidity, polypharmacy and shared decision-making) and GP-patient-centred interview. Young-old patients aged 65-74 years with multimorbidity and polypharmacy were included. MAIN OUTCOME: difference in the Medication Appropriateness Index (MAI) after 6-month follow-up between groups. SECONDARY OUTCOMES: MAI, quality of life, patient perception, health services use, treatment adherence and cost-effectiveness after 12-month follow-up. RESULTS: 117 GPs from 38 Spanish primary health care recruited 593 patients randomly assigned to the intervention/control groups. Difference in MAI scores between groups in the intention-to-treat analysis after 6 months' follow-up: -2.42 (-4.27 to -0.59), P = 0.009 (adjusted difference in mean MAI score -1.81(-3.35 to -0.27), P = 0.021). SECONDARY OUTCOMES: not significant, including quality of life (adjusted difference in mean EQ-5D-5L (VAS) 2.94 (-1.39 to 7.28), P = 0.183, EQ-5D-5L (index) -0.006(-0.034 to 0.022), P = 0.689). CONCLUSION: The intervention significantly improved medication appropriateness. The observed quality of life improvement was not significant. GPs e-training in multimorbidity has shown to be feasible and well accepted by the professionals. Future studies may test whether this format facilitates implementation.

Use of an Electronic Clinical Decision Support System in Primary Care to Assess Inappropriate Polypharmacy in Young Seniors With Multimorbidity: Observational, Descriptive, Cross-Sectional Study.

BACKGROUND: Multimorbidity is a global health problem that is usually associated with polypharmacy, which increases the risk of potentially inappropriate prescribing (PIP). PIP entails higher hospitalization rates and mortality and increased usage of services provided by the health system. Tools exist to improve prescription practices and decrease PIP, including screening tools and explicit criteria that can be applied in an automated manner. OBJECTIVE: This study aimed to describe the prevalence of PIP in primary care consultations among patients aged 65-75 years with multimorbidity and polypharmacy, detected by an electronic clinical decision support system (ECDSS) following the 2015 American Geriatrics Society Beers Criteria, the European Screening Tool of Older Person's Prescription (STOPP), and the Screening Tool to Alert doctors to Right Treatment (START). METHODS: This was an observational, descriptive, cross-sectional study. The sample included 593 community-dwelling adults aged 65-75 years (henceforth called young seniors), with multimorbidity (≥3 diseases) and polypharmacy (≥5 medications), who had visited their primary care doctor at least once over the last year at 1 of the 38 health care centers participating in the Multimorbidity and Polypharmacy in Primary Care (Multi-PAP) trial. Sociodemographic data, clinical and pharmacological treatment variables, and PIP, as detected by 1 ECDSS, were recorded. A multivariate logistic regression model with robust estimators was built to assess the factors affecting PIP according to the STOPP criteria. RESULTS: PIP was detected in 57.0% (338/593; 95% CI 53-61) and 72.8% (432/593; 95% CI 69.3-76.4) of the patients according to the STOPP criteria and the Beers Criteria, respectively, whereas 42.8% (254/593; 95% CI 38.9-46.8) of the patients partially met the START criteria. The most frequently detected PIPs were benzodiazepines (BZD) intake for more than 4 weeks (217/593, 36.6%) using the STOPP version 2 and the prolonged use of proton pump inhibitors (269/593, 45.4%) using the 2015 Beers Criteria. Being a woman (odds ratio [OR] 1.43, 95% CI 1.01-2.01; P=.04), taking a greater number of medicines (OR 1.25, 95% CI 1.14-1.37; P<.04), working in the primary sector (OR 1.91, 95% CI 1.25-2.93; P=.003), and being prescribed drugs for the central nervous system (OR 3.75, 95% CI 2.45-5.76; P<.001) were related to a higher frequency of PIP. CONCLUSIONS: There is a high prevalence of PIP in primary care as detected by an ECDSS in community-dwelling young seniors with comorbidity and polypharmacy. The specific PIP criteria defined by this study are consistent with the current literature. This ECDSS can be useful for supervising prescriptions in primary health care consultations.