Background: This paper aims to discuss how physical activity (PA) brief assessment, brief counseling, and self-monitoring tools were designed and implemented in the Portuguese National Health Service (NHS), and to report on their current use by health professionals and citizens. Methods: Three digital tools to facilitate PA promotion in primary health care (PHC) were developed: 1) a PA brief assessment tool was incorporated in the electronic health record platform “SClínico Cuidados de Saúde Primários“; 2) a brief counseling tool was developed in the software “PEM—Prescrição Eletrónica Médica” (electronic medical prescription); and 3) a “Physical Activity Card” was incorporated in an official NHS smartphone app called “MySNS Carteira”. Results: From September 2017 to June 2019, 119,386 Portuguese patients had their PA assessed in PHC. Between December 2017 and June 2019, a total of 7957 patients received brief intervention for PA by a medical doctor. Regarding the app “MySNS Carteira”, 93,320 users activated the “Physical Activity Card”, between February 2018 and December 2018. Conclusions: These tools represent key actions to promote PA among Portuguese citizens using PHC as a priority setting. Further initiatives will follow, including proper assessment of their clinical impact and training programs for health care professionals on PA promotion.

Rapid worldwide decreases in physical activity (PA), an increase in sedentary behaviour (SB) and poorer dietary patterns have been reported during COVID-19 confinement periods. However, as national variability has been observed, this study sought to describe PA, SB and eating patterns, and to explore their gender as well as other socio-demographic correlates and how they interrelate in a representative sample of Portuguese adults during the COVID-19 first mandatory social confinement. The survey was applied online and by telephone to 5856 adults (mean age = 45.8 years; 42.6% women). The majority reported high (46.0%) or moderate (20.5%) PA levels. Men, younger participants, those with higher education levels and a favourable perception of their financial situation reported higher PA levels, with the opposite pattern for SB. Physical fitness activities and household chores were more reported by women, with more strength training and running activities reported by men. Regarding eating behaviours, 45.1% reported changes, positive (58%) and negative (42%), with 18.2% reporting increases in consumption of fruit, vegetables, and fish and other seafood consumption, while 10.8% (most with lower educational level and less comfortable with their income) reported an increase in consumption of ready-to-eat meals, soft drinks, savoury snacks, and take-away and delivered meals. Two clusters—a health-enhancing vs. risky pattern—emerged through multiple correspondence analysis characterized by co-occurrence of high vs. low PA levels, positive vs. negative eating changes, awareness or not of the COVID-19 PA and dietary recommendations, perceived financial situation, higher vs. lower educational level and time in social confinement. In conclusion, while in social confinement, both positive and negative PA and eating behaviours and trends were displayed, highlighting the role of key sociodemographic correlates contributing to healthy vs. risky patterns. Results may inform future health interventions and policies to be more targeted to those at risk, and also advocate the promotion of PA and healthy eating in an integrated fashion.

Background: Translation into practice of effective physical activity interventions in primary care is difficult, due to a complex interaction of implementation determinants. We aimed to identify implementation barriers and facilitators of four primary care interventions: physical activity assessment, counselling, prescription, and referral. Methods: A systematic review of qualitative, quantitative and mixed-methods studies published since 2016 was conducted. The “Tailored Implementation for Chronic Diseases” (TICD) framework was adapted to extract and synthesize barriers and facilitators. Results: Sixty-two studies met the inclusion criteria. Barriers (n = 56) and facilitators (n = 55) were identified across seven domains, related to characteristics of the intervention, individual factors of the implementers and receivers, organizational factors, and political and social determinants. The five most frequently reported determinants were: professionals’ knowledge and skills; intervention feasibility/compatibility with primary health care routine; interventions’ cost and financial incentives; tools and materials; and professionals’ cognitions and attitudes. “Social, political and legal factors” domain was the least reported. Physical activity counselling, prescription, and referral were influenced by determinants belonging to all the seven domains. Conclusion: The implementation of physical activity interventions in primary care is influenced by a broader range of determinants. Barriers and facilitators related with health professionals, intervention characteristics, and available resources were the most frequently reported. A deep understanding of the local context, with particularly emphasis on these determinants, should be considered when preparing an intervention implementation, in order to contribute for designing tailored implementation strategies and optimize the interventions’ effectiveness.

Background: Physical activity is a major determinant of physical and mental health. International recommendations identify health professionals as pivotal agents to tackle physical inactivity. This study sought to characterize medical doctors’ clinical practices concerning the promotion of patients’ physical activity, while also exploring potential predictors of the frequency and content of these practices, including doctors’ physical activity level and sedentary behaviours. Methods: A cross-sectional study assessed physical activity promotion in clinical practice with a self-report questionnaire delivered through the national medical prescription software (naturalistic survey). Physical activity and sedentary behaviours were estimated using the International Physical Activity Questionnaire (short form). Indicators of medical doctors’ attitudes, knowledge, confidence, barriers, and previous training concerning physical activity promotion targeting their patients were also assessed. Multiple regression analysis was performed to identify predictors of physical activity promotion frequency by medical doctors, including sociodemographic, attitudes and knowledge-related variables, and physical activity behaviours as independent variables. Results: A total of 961 medical doctors working in the Portuguese National Health System participated (59% women, mean age 44 ± 13 years) in the study. The majority of the participants (84.6%) reported to frequently promote patients’ physical activity. Five predictors of physical activity promotion frequency emerged from the multiple regression analysis, explaining 17.4% of the dependent variable (p < 0.001): working in primary healthcare settings (p = 0.037), having a medical specialty (p = 0.030), attributing a high degree of relevance to patients’ physical activity promotion in healthcare settings (p < 0.001), being approached by patients to address physical activity (p < 0.001), and having higher levels of physical activity (p = 0.001). Conclusions: The sample of medical doctors approached reported a high level of engagement with physical activity promotion. Physical activity promotion frequency seems to be influenced by the clinical practice setting, medical career position and specialty, attitudes towards physical activity, and perception of patients´ interest on the topic, as well as medical doctors’ own physical activity levels.

To raise perceived capability (C), opportunity (O) and motivation (M) for physical activity (PA) behaviour (B) among adults, the Portuguese Directorate-General of Health developed a mass media campaign named “Follow the Whistle”, based on behaviour change theory and social marketing principles. Comprehensive formative and process evaluation suggests this media-led campaign used best-practice principles. The campaign adopted a population-wide approach, had clear behavioural goals, and clear multi-strategy implementation. We assessed campaign awareness and initial impact using pre (n = 878, 57% women) and post-campaign (n = 1319, 58% women) independent adult population samples via an online questionnaire, comprising socio-demographic factors, campaign awareness and recall, and psychosocial and behavioural measures linked to the COM-B model. PA was assessed with IPAQ and the Activity Choice Index. The post-campaign recall was typical of levels following national campaigns (24%). Post-campaign measures were higher for key theory-based targets (all p < 0.05), namely self-efficacy, perceived opportunities to be more active and intrinsic motivation. The impact on social norms and self-efficacy was moderated by campaign awareness. Concerning PA, effects were found for vigorous activity (p < 0.01), but not for incidental activity. Overall the campaign impacted key theory-based intermediate outcomes, but did not influence incidental activity, which highlights the need for sustained and repeated campaign efforts.

Objective: Despite evidence of the cost-effectiveness of physical activity (PA) promotion interventions in healthcare settings, translating them into practice remains challenging. This study aimed to identify implementation barriers and facilitators of a Portuguese PA consultation programme implemented in primary healthcare of the Portuguese National Health Service. Additionally, it sought to inform future implementation strategies, using a theoretically based approach. Design: Qualitative interview study, using both deductive and inductive approaches. Setting: Primary healthcare units across all health administration regions of mainland Portugal. Participants: Twenty-eight participants (six medical doctors, five exercise professionals and 17 patients) from all health regions of the country, involved in the implementation of the Portuguese PA prescription consultation. Results: Fifty-three categories of determinants were identified, using the Tailored Implementation for Chronic Diseases framework. Key barriers included ineffective referral processes to the consultation, challenges in integrating the intervention with existing healthcare demands and insufficient local/regional prioritisation of PA promotion. Key facilitators included high intervention acceptability, diverse community PA resources and good interpersonal skills of implementers. Drawing on the Behaviour Change Wheel, theoretically based inputs to design strategies addressing each barrier were provided. Conclusions: The implementation of PA consultation was influenced by a broad range of determinants. The most frequently reported barriers are primarily structural and opportunity-related, suggesting system-level implementation strategies are most appropriate. Future strategies should consider implementing clinical standards/orientations for PA promotion, providing institutional incentives based on the attainment of PA indicators, expanding consultation coverage and diversifying referral strategies, reinforcing health system-community partnerships and strengthening training opportunities for implementers. These findings offer relevant insights for enhancing the future implementation of PA consultations, for scaling them up and, ultimately, to increase their effectiveness.