In epidemics such as COVID‐19, major changes need to be made to the population's behavior to prevent infection and stop disease transmission. The three most recommended preventive measures are wearing a mask, washing hands with soap or hydroalcoholic gel, and watching an interpersonal distance of at least two meters (3W) from other people. This study aimed to assess adherence to these COVID‐19‐related three preventive measures and its association with knowledge, attitudes, risk perception, and practices in Spain. The COSMO‐Spain survey, based on the WHO Behavioral Insights questionnaire on COVID‐19, was conducted in the general Spanish population using an online questionnaire (n = 1,033). Sociodemographic, knowledge, attitudes, practices, and risk perception variables were included. A multivariable logistic regression model was carried out to evaluate the factors associated with compliance with the three preventive measures. Half of the respondents (49.8%) were women with a median age of 45 (Inter‐quartile Range, IR = 21) years. In the logistic regression, the factors associated with 3W compliance were being over 45 years; knowing about how COVID‐19 spreads and wearing masks properly; appropriate attitudes towards COVID‐19 (greater agreement with mandatory mask use); high risk perception (feeling that the coronavirus is spreading rapidly, being concerned about non‐mask wearers), and adherence to other preventive measures against COVID‐19, such as staying at home. Adequate knowledge, attitudes and risk perception are determinants of 3W compliance. Developing effective health education programs and frequent communication strategies are necessary, particularly for those who adhere less to preventive measures.

Background Geriatric patients have significant morbidity and greater needs for care and assistance. The objective of this study was to describe the characteristics, morbidity, and use of services in primary care (PC) of patients with chronic diseases older than 65 years according to their risk level assigned by the adjusted morbidity groups (AMG) and to analyse the factors associated with the use of PC services. Methods This was a cross-sectional descriptive observational study. Patients older than 65 years from a healthcare service area, classified as chronically ill by the AMG classification system of the PC electronic medical record of the Community of Madrid, were included. Sociodemographic, clinical-care, and PC service utilization variables were collected. Univariate, bivariate and multivariate analyses were done. Results A total of 3292 chronic patients older than 65 years were identified, of whom 1628 (49.5%) were low risk, 1293 (39.3%) were medium risk and 371 (11.3%) were high risk. Their mean age was 78.1 (SD = 8.1) years and 2167 (65.8%) were women. Their mean number of chronic diseases was 3.8 (SD = 2), 89.4% had multimorbidity and 1550 (47.1%) were polymedicated. The mean number of contacts/year with PC was 19.5 (SD = 18.2) [men: 19.4 (SD = 19.8); women: 19.5 (SD = 17.4)]. The mean number of contacts/year in people over 85 years was 25.2 (SD = 19.6); in people 76–85 years old, it was 22.1 (SD = 20.3); and in people 66–75 years old, it was 14.5 (SD = 13.9). The factors associated with greater use of services were age (B coefficient [BC] = 0.3; 95%CI = 0.2–0.4), high risk level (BC = 1.9; 95%CI =0.4–3.2), weight of complexity (BC = 0.7; 95%CI = 0.5–0.8), and ≥ 4 chronic diseases (BC = 0.7; 95%CI = 0.3–1.1). Conclusions In the geriatric population, we found a high number of patients with chronic diseases and there were three levels of risk by AMG with differences in characteristics, morbidity, and use of PC services. The greatest use of services was by patients with older age, high risk level, greater weight of complexity and ≥ 4 chronic diseases. Further research is needed to develop an intervention model more adapted to the reality of the geriatric population based on risk levels by AMG.

Objectives. To analyze factors associated with COVID-19 vaccine acceptance in Spain, over time. Methods. We used data from a national study that included 5 online surveys carried out every 2 months from September 2020 to May 2021. Each round recruited a sample of 1000 participants aged 18 years or older. We performed a multivariable logistic regression with vaccination acceptance as the dependent variable. We evaluated time trends through the interaction terms of each of the explanatory variables and the time. Results. Vaccination acceptance increased from 43.1% in September 2020 to 84.5% in May 2021. Sex, age, concerns about disease severity, health services overload, and people not wearing a face mask, together with adherence to preventive behavior, health literacy, and confidence in scientists, health care professionals’ information, and adequacy of governmental decisions, were variables associated with vaccination acceptance. Conclusions. In a changing situation, vaccine acceptance factors and time trends could help in the design of contextualized public health messages. It is important to strengthen the population’s trust in institutions, health care professionals, and scientists to increase vaccination rates, as well as to ensure easy access to accurate information for those who are more reluctant. (Am J Public Health. Published online ahead of print August 25, 2022:e1–e9. https://doi.org/10.2105/AJPH.2022.307039 )

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