Objective: To analyse the overall effectiveness and cost-efficiency of a mobile application (APP) as a community health asset (HA) with recommendations and recovery exercises created bearing in mind the main symptoms presented by patients in order to improve their quality of life, as well as other secondary variables, such as the number and severity of ongoing symptoms, physical and cognitive functions, affective state, and sleep quality. Methods: The first step was to design and develop the technologic community resource, the APP, following the steps involved in the process of recommending health assets (RHA). After this, a protocol of a randomised clinical trial for analysing its effectiveness and cost-efficiency as a HA was developed. The participants will be assigned to: (1st) usual treatment by the primary care practitioner (TAU), as a control group; and (2nd) TAU + use of the APP as a HA and adjuvant treatment in their recovery + three motivational interviews (MI), as an interventional group. An evaluation will be carried out at baseline with further assessments three and six months following the end of the intervention. Discussion: Although research and care for these patients are still in their initial stages, it is necessary to equip patients and health care practitioners with tools to assist in their recovery. Furthermore, enhanced motivation can be achieved through telerehabilitation (TR).

Background and purpose: The impact of COVID-19 and its control measures have exacerbated existing mental health conditions. Although the deleterious effects of mental health problems are well known, fewer studies have examined the links between the Social Determinants of Health (SDHs) and depression. This study provides insights into the relationship between SDHs and depression during the first strict lockdown in Spain, which lasted for a period of 7 weeks.Methods: Fifty-two structured interviews were conducted with people diagnosed with depression during June 2020 in the province of Zaragoza (Spain). Interviews were conducted by telephone due to lockdown constraints. Inductive thematic content analysis was used to explore, develop, and define emergent categories of analysis, which were mapped against the SDH framework.Results: Listening to people’s experiences of living with depression during lockdown provided insights into their concerns and coping strategies, which are greatly influenced by the conditions in which they live, their job and their age. Examples of these factors include access to and quality of physical spaces, including housing conditions and public spaces for socialising, social support, adverse working conditions which include caring responsibilities, and access to digital technologies and healthcare services.Conclusion: SDHs have played a fundamental role in shaping people’s health and well-being during the COVID-19 pandemic, and this study has shown that they have a considerable effect on depression outcomes. Governments should consider implementing social welfare programs to tackle both psychosocial problems and material need during crisis situations.

Introduction: We evaluated the effectiveness of an individual, group and community intervention to improve the glycemic control of patients with diabetes mellitus aged 45–75 years with two or three unhealthy life habits. As secondary endpoints, we evaluated the inverventions’ effectiveness on adhering to Mediterranean diet, physical activity, sedentary lifestyle, smoking and quality of life. Method: A randomized clinical cluster (health centers) trial with two parallel groups in Spain from January 2016 to December 2019 was used. Patients with diabetes mellitus aged 45–75 years with two unhealthy life habits or more (smoking, not adhering to Mediterranean diet or little physical activity) participated. Centers were randomly assigned. The sample size was estimated to be 420 people for the main outcome variable. Educational intervention was done to improve adherence to Mediterranean diet, physical activity and smoking cessation by individual, group and community interventions for 12 months. Controls received the usual health care. The outcome variables were: HbA1c (main), the Mediterranean diet adherence score (MEDAS), the international diet quality index (DQI-I), the international physical activity questionnaire (IPAQ), sedentary lifestyle, smoking ≥1 cigarette/day and the EuroQuol questionnaire (EVA-EuroQol5D5L). Results: In total, 13 control centers (n = 356) and 12 intervention centers (n = 338) were included with similar baseline conditions. An analysis for intention-to-treat was done by applying multilevel mixed models fitted by basal values and the health center: the HbA1c adjusted mean difference = −0.09 (95% CI: −0.29–0.10), the DQI-I adjusted mean difference = 0.25 (95% CI: −0.32–0.82), the MEDAS adjusted mean difference = 0.45 (95% CI: 0.01–0.89), moderate/high physical activity OR = 1.09 (95% CI: 0.64–1.86), not living a sedentary lifestyle OR = 0.97 (95% CI: 0.55–1.73), no smoking OR = 0.61 (95% CI: 0.54–1.06), EVA adjusted mean difference = −1.26 (95% CI: −4.98–2.45). Conclusions: No statistically significant changes were found for either glycemic control or physical activity, sedentary lifestyle, smoking and quality of life. The multicomponent individual, group and community interventions only showed a statistically significant improvement in adhering to Mediterranean diet. Such innovative interventions need further research to demonstrate their effectiveness in patients with poor glycemic control.

Background: The prognosis of older age COVID-19 patients with comorbidities is associated with a more severe course and higher fatality rates but no analysis has yet included factors related to the geographical area/municipality in which the affected patients live, so the objective of this study was to analyse the prognosis of patients with COVID-19 in terms of sex, age, comorbidities, and geographic variables. Methods: A retrospective cohort of 6286 patients diagnosed with COVID-19 was analysed, considering demographic data, previous comorbidities and geographic variables. The main study variables were hospital admission, intensive care unit (ICU) admission and death due to worsening symptoms; and the secondary variables were sex, age, comorbidities and geographic variables (size of the area of residence, distance to the hospital and the driving time to the hospital). A comparison analysis and a multivariate Cox model were performed. Results: The multivariate Cox model showed that women had a better prognosis in any type of analysed prognosis. Most of the comorbidities studied were related to a poorer prognosis except for dementia, which is related to lower admissions and higher mortality. Suburban areas were associated with greater mortality and with less hospital or ICU admission. Distance to the hospital was also associated with hospital admission. Conclusions: Factors such as type of municipality and distance to hospital act as social health determinants. This fact must be taken account in order to stablish specifics prevention measures and treatment protocols.

Person-centred care (PCC) is a fundamental principle in general practice, emphasising practices tailored to individual patient preferences, needs, and values. Despite the importance of PCC, general practitioners (GPs) face obstacles in effectively implementing it, with associated factors remaining unclear. The PACE GP/FP study aims to explore GPs' attitudes towards PCC and the factors facilitating or hindering its implementation in daily practice across European countries. This paper outlines the PACE GP/FP study protocol. The cross-sectional design with data collection via an online survey distribution to GPs in 24 European countries. Study instruments include two validated questionnaires (Perceived Stress Scale (PSS) and Patient Physician Orientation Scale (PPOS)) and additional items covering general information about the doctor and their practice, as well as facilitators and barriers to PCC. These additional items were specifically developed for the study, translated using the forward-backward method, evaluated through cognitive debriefing, and integrated into the REDCap platform to create language and country-specific survey links. The STROBE checklist guides the reporting of the manuscript. The PACE GP/FP study will provide a comprehensive exploration of GPs' attitudes towards PCC and the factors shaping its practice in Europe. The findings from the PACE GP/FP study will provide evidence for designing future implementation strategies and guide targeted interventions to promote PCC in primary care across Europe.

Background: Depression and anxiety disorders are a significant and growing health problem that has a significant impact on psychosocial functioning and quality of life. The onset and severity of mental health problems have been related to various biological, psychosocial, and behavioral variables. Purpose: The purpose of this study was to explore the association among the severity of depression and anxiety, problematic information and communications technology (ICT) use, and some related personal factors with health behavior among adults. It also analyzes the moderating role of personal factors in the relationship between the problematic use of ICT and anxiety and depression. Patients and Methods: Descriptive, bivariate, multivariate and moderation analyzes of data from 391 participants of 35– 74 years old in primary health care centers located in Aragón (Spain) were performed between July 2021 and July 2022. The primary outcome was the severity of depressive and anxious symptoms as continuous variable. Results: Low sense of coherence (β = − 0.058; p = 0.043), low self-esteem (β = − 0.171; p=0.002), and low self-efficacy (β = − 0.122; p= 0.001), are predictors of having more severe depressive symptoms. Furthermore, low self-esteem (β = − 0.120; p= 0.012), low self-efficacy (β = − 0.092; p=0.004), and high problematic use of ICT (β = 0.169; p = 0.001), are predictors of having more severe anxiety symptoms. Moderation analyzes were significant in the effect of self-efficacy (b = − 0.040, p=0.001) and resilience (b = − 0.024, p=0.033) on the relationship between problematic ICT use and anxiety. Conclusion: The problematic use of ICT and personal factors are related to depressive and anxiety symptoms. The interrelationship between problematic ICT use, personal factors, and depression needs to be further explored.