Experiences of family and community care physicians and nurse residents in Madrid regarding their training during the COVID-19 pandemic: A Photovoice study (preprint)

Background: The COVID-19 pandemic brought about sudden changes in healthcare demands, necessitating additional healthcare professionals and altering the educational landscape for medical and nursing residents. This study aimed to explore the experiences and impact of the pandemic on the training of family and community medicine as well as family and community nursing residents. Method: A participatory qualitative study was conducted using the Photovoice methodology. Seven residents in family and community medicine and nursing in the Madrid region were purposively sampled. Participants took photographs and engaged in weekly sessions over five weeks to discuss and analyse their photos, which were grouped into themes and further categorized. Recommendations for institutions and program leaders were developed using an adapted logical framework approach. Results: The average age was 27 years, with 86% being female. Participants captured 96 photographs categorized into five themes (physical and emotional impact;  impact on primary care system;  hospital care ; social and environmental impact ; and impact on training). Through critical discussions on impact on training-related photos, seven emergent themes were identified: 1) COVID-19 monograph, buried knowledge;  2) Changing roles ; 3) Transition from face-to-face to online delivery format ; 4) Supervision; 5) Tutor as educator and caregiver ; 6) Advocacy ;  7) Family and nursing residents as agents of change. Subsequently, participants formulated seven recommendations that should be considered in similar situations. Conclusion: The COVID-19 pandemic has posed significant challenges in implementing medical education programs. It has had both formative and professional impacts on medical and nursing residents. These findings can aid in designing coping and educational strategies to navigate exceptional situations such as the one experienced during the pandemic.

[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 a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care.

BACKGROUND: Tobacco addiction is the leading cause of preventable morbidity and mortality worldwide, but only 1 in 20 cessation attempts is supervised by a health professional. The potential advantages of mobile health (mHealth) can circumvent this problem and facilitate tobacco cessation interventions for public health systems. Given its easy scalability to large populations and great potential, chatbots are a potentially useful complement to usual treatment. OBJECTIVE: This study aims to assess the effectiveness of an evidence-based intervention to quit smoking via a chatbot in smartphones compared with usual clinical practice in primary care. METHODS: This is a pragmatic, multicenter, controlled, and randomized clinical trial involving 34 primary health care centers within the Madrid Health Service (Spain). Smokers over the age of 18 years who attended on-site consultation and accepted help to quit tobacco were recruited by their doctor or nurse and randomly allocated to receive usual care (control group [CG]) or an evidence-based chatbot intervention (intervention group [IG]). The interventions in both arms were based on the 5A's (ie, Ask, Advise, Assess, Assist, and Arrange) in the US Clinical Practice Guideline, which combines behavioral and pharmacological treatments and is structured in several follow-up appointments. The primary outcome was continuous abstinence from smoking that was biochemically validated after 6 months by the collaborators. The outcome analysis was blinded to allocation of patients, although participants were unblinded to group assignment. An intention-to-treat analysis, using the baseline-observation-carried-forward approach for missing data, and logistic regression models with robust estimators were employed for assessing the primary outcomes. RESULTS: The trial was conducted between October 1, 2018, and March 31, 2019. The sample included 513 patients (242 in the IG and 271 in the CG), with an average age of 49.8 (SD 10.82) years and gender ratio of 59.3% (304/513) women and 40.7% (209/513) men. Of them, 232 patients (45.2%) completed the follow-up, 104/242 (42.9%) in the IG and 128/271 (47.2%) in the CG. In the intention-to-treat analysis, the biochemically validated abstinence rate at 6 months was higher in the IG (63/242, 26%) compared with that in the CG (51/271, 18.8%; odds ratio 1.52, 95% CI 1.00-2.31; P=.05). After adjusting for basal CO-oximetry and bupropion intake, no substantial changes were observed (odds ratio 1.52, 95% CI 0.99-2.33; P=.05; pseudo-R2=0.045). In the IG, 61.2% (148/242) of users accessed the chatbot, average chatbot-patient interaction time was 121 (95% CI 121.1-140.0) minutes, and average number of contacts was 45.56 (SD 36.32). CONCLUSIONS: A treatment including a chatbot for helping with tobacco cessation was more effective than usual clinical practice in primary care. However, this outcome was at the limit of statistical significance, and therefore these promising results must be interpreted with caution. TRIAL REGISTRATION: Clinicaltrials.gov NCT03445507; https://tinyurl.com/mrnfcmtd. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12911-019-0972-z.

Thirty-day suicidal thoughts and behaviors among hospital workers during the first wave of the Spain COVID-19 outbreak.

BACKGROUND: Healthcare workers are a key occupational group at risk for suicidal thoughts and behaviors (STB). We investigated the prevalence and correlates of STB among hospital workers during the first wave of the Spain COVID-19 outbreak (March-July 2020). METHODS: Data come from the baseline assessment of a cohort of Spanish hospital workers (n = 5450), recruited from 10 hospitals just after the height of the coronavirus disease 2019 (COVID-19) outbreak (May 5-July 23, 2020). Web-based self-report surveys assessed 30-day STB, individual characteristics, and potentially modifiable contextual factors related to hospital workers' work and financial situation. RESULTS: Thirty-day STB prevalence was estimated at 8.4% (4.9% passive ideation only, 3.5% active ideation with or without a plan or attempt). A total of n = 6 professionals attempted suicide in the past 30 days. In adjusted models, 30-day STB remained significantly associated with pre-pandemic lifetime mood (odds ratio [OR] = 2.92) and anxiety disorder (OR = 1.90). Significant modifiable factors included a perceived lack of coordination, communication, personnel, or supervision at work (population-attributable risk proportion [PARP] = 50.5%), and financial stress (PARP = 44.1%). CONCLUSIONS AND RELEVANCE: Thirty-day STB among hospital workers during the first wave of the Spain COVID-19 outbreak was high. Hospital preparedness for virus outbreaks should be increased, and strong governmental policy response is needed to increase financial security among hospital workers.