The artificial intelligence revolution in primary care: Challenges, dilemmas and opportunities.

Artificial intelligence (AI) can be a valuable tool for primary care (PC), as, among other things, it can help healthcare professionals improve diagnostic accuracy, chronic disease management and the overall efficiency of the care they provide. It is important to emphasise that AI should not be seen as a replacement tool, but as an aid to PC professionals. Although AI is capable of processing large amounts of data and generating accurate predictions, it cannot replace the skill and expertise of professionals in clinical decision making. AI still requires the interpretation and clinical judgement of a trained healthcare professional and cannot provide the empathy and emotional support often required in healthcare.

[Analysis of the interruptions generated by the use of smartphones among Primary Care Health professionals]. / Análisis de las interrupciones generadas por el uso de los smartphones entre los profesionales sanitarios de Atención Primaria.

OBJECTIVE: To analyze the particular use of smartphones among Primary Care Health professionals during the care act and its consequences. DESIGN: Multicenter, cross-sectional study in a primary care setting, carried out in 3phases: survey of professionals, checklist of professionals and survey of patients. PARTICIPANTS: Primary Care Health professionals from the Territorial Primary Care Management of Barcelona (online survey) and health professionals (checklist) and patients (patient survey) from 2primary care teams in Barcelona city. MAIN MEASUREMENTS: Bivariate descriptive analysis of the variables from the different surveys. Use of the mobile phone in the consultation, time, reason, type of use and perception of appropriateness. Characteristics of interruptions. RESULTS: In relation to patients, 31% consider that the health professional should only consult the mobile phone if it is to resolve some aspect of their reason for consultation and 10% consider it a lack of respect. Eighteen percent of patients describe interruptions, the majority lasting between 10 and 30s and considering them mostly avoidable. In relation to professionals, the majority (96%) claim to have their mobile phone in the consultation and on mute (77%), with only 2% recognizing its use in the presence of the patient, which is in line with what the patients describe. Furthermore, 80% of professionals say they ask permission to use it, contrasting with what patients report (50%). Eighty-five percent of professionals consider its use appropriate. CONCLUSIONS: The use of mobile phones is perceived by patients as an interruption that can affect the care act, generating dissatisfaction, which must be taken into account by health professionals. Healthcare organizations should establish recommendations regarding the use of mobile phones in consultations.

[Improving quality of life in older adults with the decline syndrome: The role of occupational therapy in primary care]. / Mejorando la calidad de vida en personas mayores con el síndrome del declive: el rol de la terapia ocupacional en Atención Primaria.

OBJECTIVE: To evaluate the effect of an occupational therapy intervention in users recently diagnosed with the decline syndrome, who have experienced a decrease in the Barthel and/or Lawton index in the last month and susceptible to improvement based on medical opinion. DESIGN: Non-controlled, quasi-experimental longitudinal study. A pre-post intervention. LOCATION: Sant Hipòlit de Voltregà health centre. Osona, Barcelona. PARTICIPANTS: Patients referred by the centre's primary care nursing, social work or medical staff with a recent diagnosis of decline syndrome who may benefit from the intervention of an occupational therapy professional. INTERVENTION: Following the initial assessment visit, four training sessions were conducted to improve functional independence, mobility and adaptation of the home environment, providing training to primary caregivers. MAIN MEASUREMENTS: Patient autonomy was assessed using the Barthel and Lawton scales, quality of life using the EuroQol questionnaire (EQ-5D) and home suitability using the home suitability assessment questionnaire. RESULTS: Improvements were observed in autonomy in activities of daily living (p=0.003), mobility (p=0.001) and housing adaptation (p<0.001). The level of anxiety/depression was reduced (p=0.028), and the mean health status score increased markedly (p<0.001). CONCLUSIONS: This study highlights the improvement in the quality of life and autonomy in the basic activities of daily living for individuals receiving occupational therapy, emphasizing the need for home adaptation and family support.

[Teleconsultation: finding its place in primary care]. / Teleconsulta: encontrando su lugar en Atención Primaria.

Teleconsultation is a remote health consultation using information and communication technologies. There are different modalities and specific practical and communication skills are required. Notwithstanding its prominence in Spain, there is little evidence on teleconsultation. This article explores the applicability, barriers, facilitators and future challenges of teleconsultation. While it has the potential to improve access to healthcare, as well as save time and costs for both patients and healthcare professionals, it faces a number of challenges such as the digital divide and resistance to change. To address new challenges and overcome obstacles, it is crucial to gain the trust of patients and professionals. Improving training in the skills required to optimize their use is also essential. Future research should aim to provide robust evidence regarding safety and cost-effectiveness to ensure successful implementation.

Twitter's Role in Combating the Magnetic Vaccine Conspiracy Theory: Social Network Analysis of Tweets.

BACKGROUND: The popularity of the magnetic vaccine conspiracy theory and other conspiracy theories of a similar nature creates challenges to promoting vaccines and disseminating accurate health information. OBJECTIVE: Health conspiracy theories are gaining in popularity. This study's objective was to evaluate the Twitter social media network related to the magnetic vaccine conspiracy theory and apply social capital theory to analyze the unique social structures of influential users. As a strategy for web-based public health surveillance, we conducted a social network analysis to identify the important opinion leaders sharing the conspiracy, the key websites, and the narratives. METHODS: A total of 18,706 tweets were retrieved and analyzed by using social network analysis. Data were retrieved from June 1 to June 13, 2021, using the keyword vaccine magnetic. Tweets were retrieved via a dedicated Twitter application programming interface. More specifically, the Academic Track application programming interface was used, and the data were analyzed by using NodeXL Pro (Social Media Research Foundation) and Gephi. RESULTS: There were a total of 22,762 connections between Twitter users within the data set. This study found that the most influential user within the network consisted of a news account that was reporting on the magnetic vaccine conspiracy. There were also several other users that became influential, such as an epidemiologist, a health economist, and a retired sports athlete who exerted their social capital within the network. CONCLUSIONS: Our study found that influential users were effective broadcasters against the conspiracy, and their reach extended beyond their own networks of Twitter followers. We emphasize the need for trust in influential users with regard to health information, particularly in the context of the widespread social uncertainty resulting from the COVID-19 pandemic, when public sentiment on social media may be unpredictable. This study highlights the potential of influential users to disrupt information flows of conspiracy theories via their unique social capital.

Knowledge and Perception of the Use of AI and its Implementation in the Field of Radiology: Cross-Sectional Study.

BACKGROUND: Artificial Intelligence (AI) has been developing for decades, but in recent years its use in the field of health care has experienced an exponential increase. Currently, there is little doubt that these tools have transformed clinical practice. Therefore, it is important to know how the population perceives its implementation to be able to propose strategies for acceptance and implementation and to improve or prevent problems arising from future applications. OBJECTIVE: This study aims to describe the population's perception and knowledge of the use of AI as a health support tool and its application to radiology through a validated questionnaire, in order to develop strategies aimed at increasing acceptance of AI use, reducing possible resistance to change and identifying possible sociodemographic factors related to perception and knowledge. METHODS: A cross-sectional observational study was conducted using an anonymous and voluntarily validated questionnaire aimed at the entire population of Catalonia aged 18 years or older. The survey addresses 4 dimensions defined to describe users' perception of the use of AI in radiology, (1) "distrust and accountability," (2) "personal interaction," (3) "efficiency," and (4) "being informed," all with questions in a Likert scale format. Results closer to 5 refer to a negative perception of the use of AI, while results closer to 1 express a positive perception. Univariate and bivariate analyses were performed to assess possible associations between the 4 dimensions and sociodemographic characteristics. RESULTS: A total of 379 users responded to the survey, with an average age of 43.9 (SD 17.52) years and 59.8% (n=226) of them identified as female. In addition, 89.8% (n=335) of respondents indicated that they understood the concept of AI. Of the 4 dimensions analyzed, "distrust and accountability" obtained a mean score of 3.37 (SD 0.53), "personal interaction" obtained a mean score of 4.37 (SD 0.60), "efficiency" obtained a mean score of 3.06 (SD 0.73) and "being informed" obtained a mean score of 3.67 (SD 0.57). In relation to the "distrust and accountability" dimension, women, people older than 65 years, the group with university studies, and the population that indicated not understanding the AI concept had significantly more distrust in the use of AI. On the dimension of "being informed," it was observed that the group with university studies rated access to information more positively and those who indicated not understanding the concept of AI rated it more negatively. CONCLUSIONS: The majority of the sample investigated reported being familiar with the concept of AI, with varying degrees of acceptance of its implementation in radiology. It is clear that the most conflictive dimension is "personal interaction," whereas "efficiency" is where there is the greatest acceptance, being the dimension in which there are the best expectations for the implementation of AI in radiology.

Factors associated with the attraction and retention of family and community medicine and nursing residents in rural settings: a qualitative study.

BACKGROUND: The current shortage of primary care doctors and nurses is causing difficulties in replacement, and this shortage is expected to increase. This situation is more pronounced in rural environments than in urban ones. Family and community care specialty training is a key component of both the transition to clinical practice and the retention of new professionals. The aim of this study is to explore the attitudes and perceptions of internal medicine residents and internal nurse residents trained in a rural teaching unit on factors associated with recruitment and retention, including the role of the specialty training programme. METHODS: A qualitative study was conducted. Purposive sampling was used, and thirteen residents from the central Catalonia teaching unit who were in their final year of training participated in semistructured interviews. The data were collected during 2022 and were subsequently analysed with thematic analysis. The study is reported using the COREQ checklist. RESULTS: Six themes emerged from data related to perceptions and attitudes about the factors associated with recruitment and retention: training programme, characteristics of the family and community specialty, concept of rural life, family and relational factors, economic and resource factors, and recruitment and job opportunities. CONCLUSIONS: Family and community medicine and nursing residents trained in rural settings expressed satisfaction with the specialty programme and most features of primary care, but they experienced a wide range of uncertainties in deciding on their professional future in terms of living in rural areas, family support, financial support and recruitment. This study identifies individual and structural factors that could be of great use to retain doctors and nurses in rural areas.

[Approach to digital transformation in healthcare to reduce the digital divide]. / Abordaje de la transformación digital en salud para reducir la brecha digital.

Digital transformation involves the integration of technology into all areas of an organization and a change in the way of operating and providing value. In the healthcare sector, digital transformation should focus on improving health for all by accelerating the development and adoption of digital solutions. The WHO considers digital health as a key factor in ensuring universal health coverage, protection against health emergencies, and better well-being for one billion people worldwide. Digital transformation in healthcare should include digital determinants of health as new factors of inequality alongside classic social determinants. Addressing digital determinants of health and the digital divide is essential to ensure that all people have access to the benefits of digital technology for their health and well-being.

Eleven-month longitudinal study of antibodies in SARS-CoV-2 exposed and naïve primary health care workers upon COVID-19 vaccination.

We evaluated the kinetics of antibody responses to Two years into the COVID-19 pandemic and 1 year after the start of vaccination rollout, the world faced a peak of cases associated with the highly contagious Omicron variant of concern (VoC) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) and nucleocapsid (N) antigens over five cross-sectional visits (January-November 2021), and the determinants of pre-booster immunoglobulin levels, in a prospective cohort of vaccinated primary health care workers in Catalonia, Spain. Antibodies against S antigens after a full primary vaccination course, mostly with BNT162b2, decreased steadily over time and were higher in pre-exposed (n = 247) than naïve (n = 200) individuals, but seropositivity was maintained at 100% (100% IgG, 95.5% IgA, 30.6% IgM) up to 319 days after the first dose. Antibody binding to variants of concern was highly maintained for IgG compared to wild type but significantly reduced for IgA and IgM, particularly for Beta and Gamma. Factors significantly associated with longer-term antibodies included age, sex, occupation, smoking, adverse reaction to vaccination, levels of pre-vaccination SARS-CoV-2 antibodies, interval between disease onset and vaccination, hospitalization, oxygen supply, post COVID and symptomatology. Earlier morning vaccination hours were associated with higher IgG responses in pre-exposed participants. Symptomatic breakthroughs occurred in 9/447 (2.01%) individuals, all among naïve (9/200, 4.5%) and generally boosted antibody responses. Additionally, an increase in IgA and/or IgM seropositivity to variants, and N seroconversion at later time points (6.54%), indicated asymptomatic breakthrough infections, even among pre-exposed. Seropositivity remained highly stable over almost a year after vaccination. However, gradually waning of anti-S IgGs that correlate with neutralizing activity, coupled to evidence of an increase in breakthrough infections during the Delta and Omicron predominance, provides a rationale for booster immunization.

Sustained seropositivity up to 20.5 months after COVID-19.

This study evaluated the persistence of IgM, IgA, and IgG to SARS-CoV-2 spike and nucleocapsid antigens up to 616 days since the onset of symptoms in a longitudinal cohort of 247 primary health care workers from Barcelona, Spain, followed up since the start of the pandemic. The study also assesses factors affecting antibody levels, including comorbidities and the responses to variants of concern as well as the frequency of reinfections. Despite a gradual and significant decline in antibody levels with time, seropositivity to five SARS-CoV-2 antigens combined was always higher than 90% over the whole study period. In a subset of 23 participants who had not yet been vaccinated by November 2021, seropositivity remained at 95.65% (47.83% IgM, 95.65% IgA, 95.65% IgG). IgG seropositivity against Alpha and Delta predominant variants was comparable to that against the Wuhan variant, while it was lower for Gamma and Beta (minority) variants and for IgA and IgM. Antibody levels at the time point closest to infection were associated with age, smoking, obesity, hospitalization, fever, anosmia/hypogeusia, chest pain, and hypertension in multivariable regression models. Up to 1 year later, just before the massive roll out of vaccination, antibody levels were associated with age, occupation, hospitalization, duration of symptoms, anosmia/hypogeusia, fever, and headache. In addition, tachycardia and cutaneous symptoms associated with slower antibody decay, and oxygen supply with faster antibody decay. Eight reinfections (3.23%) were detected in low responders, which is consistent with a sustained protective role for anti-spike naturally acquired antibodies. Stable persistence of IgG and IgA responses and cross-recognition of the predominant variants circulating in the 2020-2021 period indicate long-lasting and largely variant-transcending humoral immunity in the initial 20.5 months of the pandemic, in the absence of vaccination.

The experiences of patients with diabetes and strategies for their management during the first COVID-19 lockdown: a qualitative study.

BACKGROUND: During the pandemic, primary care systems prioritised attention to COVID-19 patients; chronically ill patients, such as people with Type 2 Diabetes were obliged to take more responsibility for their own care. We aimed to analyse the experiences of patients with Type 2 Diabetes Mellitus during the stay-at-home order that was in place during the first wave of the COVID-19 pandemic and identify the strategies and resources used in managing their care. METHOD: We conducted a qualitative descriptive study. The participants were ten patients with type 2 Diabetes Mellitus who experienced strict lockdown during the first wave of the COVID-19 pandemic in Catalonia, Spain, selected using intentional sampling. We recorded semi-structured interviews with the participants and conducted thematic analysis. RESULTS: We identified 14 subthemes, which we then grouped into three overarching themes: 1) anxiety, fear, and vulnerability (anxiety, fear, vulnerability, rethinking life, loneliness, sadness), 2) insufficient diabetes monitoring by the health system (health care received, glycaemic control, view of treatment by health providers) and proactive self-care (changes in daily routine, diet, physical activity, medication, personal protective equipment & social distancing). CONCLUSION: Despite the exceptional nature of the situation and the stress, worry, and changes in their daily lives, many respondents reported that they had successfully modified their lifestyles. Self-care was effective during confinement and was based on a process of adaptation using the resources available, without face-to-face contact with primary care health staff. RELEVANCE TO CLINICAL PRACTICE: These results can help to guide the design and implementation of self-care-focused strategies and also to explore new ways of empowering patients without access to health care personnel.

Applicability of information and communication technologies in a secondary hospital pelvic floor service.

Information and Communication Technologies increase healthcare education. Since the COVID-19 pandemic outbreak, they have been gaining importance. Our aim was to assess the effects of a web-based questionnaire used in a pelvic floor consultation. We performed a prospective intervention study analysing the use of a web-based questionnaire prior to a first appointment. Fifty-two women used the questionnaire and 52 did not. All patients filled in a paper-based survey relating to satisfaction and pelvic floor knowledge after the appointment. Women in the intervention group showed better knowledge. They had 11% more correct answers for organ prolapse definition [CI 95% (-0.30 to 0.07)], 25% more correct answers for incontinence definition [CI 95% (-0.41 to -0.08)] and 23% better incontinence classification [CI 95% (-0.34 to 0.09]. More patients in the web-questionnaire group started primary therapy in the first consultation (38% versus 16%). Measurements of the total mean time in the consultation room revealed no statistically significant differences [19.36 (SD 4.96) and 21.19 (SD 4.62) minutes, respectively; p = .05] and satisfaction levels were similar.After using our web-based questionnaire, the time for medical histories reduced and patient knowledge increased without changing satisfaction levels. Impact statementWeb-based questionnaires (WBQ) and information web links may help to reduce time of history taking while time for physical examination, counselling and treatment discussion increases. Also, patient knowledge improves.What is already known on this subject? There are reviews showing how Information and Communication Technologies (ICT) can improve health quality and sanitary education. Since the Covid-19 pandemic started, ICT use has been accelerated and traineeship and learning has been enforced. However, there is not extensive research on its use in gynaecological consultations.What do the results of this study add? We have proved that the use of a WBQ and information web links before face-to-face first visit in a pelvic floor service improves patient knowledge. We have also worked to provide scientific evidence to an ICT tool.What are the implications of these findings for clinical practice and/or further research? The most important implications for clinical practice are the improvement of patient-provider communication, the time reduction for history taking in contrast to time increase for physical examination, counselling and treatment discussion.Apart from that, WBQ may help to measure qualitative information, because it is registered and can be used as patient reported outcomes (PRO) to increase quality of care. Further research should focus on other benefits of WBQ such as achieving better patient satisfaction.

Persistence and baseline determinants of seropositivity and reinfection rates in health care workers up to 12.5 months after COVID-19.

We assessed the duration and baseline determinants of antibody responses to SARS-CoV-2 spike antigens and the occurrence of reinfections in a prospective cohort of 173 Spanish primary health care worker patients followed initially for 9 months and subsequently up to 12.5 months after COVID-19 symptoms onset. Seropositivity to SARS-CoV-2 spike and receptor-binding domain antigens up to 149-270 days was 92.49% (90.17% IgG, 76.3% IgA, 60.69% IgM). In a subset of 64 health care workers who had not yet been vaccinated by April 2021, seropositivity was 96.88% (95.31% IgG, 82.81% IgA) up to 322-379 days post symptoms onset. Four suspected reinfections were detected by passive case detection, two among seronegative individuals (5 and 7 months after the first episode), and one low antibody responder. Antibody levels significantly correlated with fever, hospitalization, anosmia/hypogeusia, allergies, smoking, and occupation. Stable sustainment of IgG responses raises hope for long-lasting COVID-19 vaccine immunity.

Influenza vaccination during the coronavirus pandemic: intention to vaccinate among the at-risk population in the Central Catalonia Health Region (VAGCOVID).

BACKGROUND: Influenza is a major public health issue, with the primary preventive measure being an annual influenza vaccination. Nevertheless, vaccination coverage among the at-risk population is low. Our understanding of the behaviour of the influenza virus during the SARS-CoV-2 coronavirus pandemic is limited, meaning influenza vaccination is still recommended for individuals at risk for severe complications due to influenza infection. The aim of the study is to determine the intention to vaccinate against seasonal influenza among the at-risk population in the 2020-21 campaign during the SARS-CoV-2 pandemic and to analyse the factors which influence such intention. METHODS: Cross-sectional telephone survey of adults (aged over 18) with risk factors in central Catalonia where the need for the Seasonal Influenza Vaccine (SIV) was recommended. RESULTS: A total of 434 participants responded to the survey, 43.3% of whom intended to be vaccinated against influenza for the 2020-2021 influenza season, 40.8% had no intention to be vaccinated and 15.9% were uncertain or did not express their opinion. The intention to get vaccinated against influenza is associated with having dependents, the individual's perception of the risk of being infected with influenza and the perceived risk of transmission to dependents. It is also associated with age, whether the individual had received influenza vaccine the previous season or any other season before. The best predictors of the intention to vaccinate are the individual's perception of the risk of catching influenza and whether the individual had been vaccinated in the previous season. CONCLUSIONS: Intention to vaccinate can be a good predictor of individual behaviour in relation to vaccination. During the current SARS-CoV-2 pandemic many individuals are hesitant to influenza vaccination. In order to improve influenza vaccination coverage in people included in risk groups, it is necessary to promote educational actions, especially among those who express doubts.

Characterization and Identification of Variations in Types of Primary Care Visits Before and During the COVID-19 Pandemic in Catalonia: Big Data Analysis Study.

BACKGROUND: The COVID-19 pandemic has turned the care model of health systems around the world upside down, causing the abrupt cancellation of face-to-face visits and redirection of the model toward telemedicine. Digital transformation boosts information systems-the more robust they are, the easier it is to monitor the health care system in a highly complex state and allow for more agile and reliable analysis. OBJECTIVE: The purpose of this study was to analyze diagnoses from primary care visits and distinguish between those that had higher and lower variations, relative to the 2019 and 2020 periods (roughly before and during COVID-19), to identify clinical profiles that may have been most impaired from the least-used diagnostic codes for visits during the pandemic. METHODS: We used a database from the Primary Care Services Information Technologies Information System of Catalonia. We analyzed the register of visits (n=2,824,185) and their International Classification of Diseases (ICD-10) diagnostic codes (n=3,921,974; mean 1.38 per visit), as approximations of the reasons for consultations, at 3 different grouping levels. The data were represented by a term frequency matrix and analyzed recursively in different partitions aggregated according to date. RESULTS: The increase in non-face-to-face visits (+267%) did not counterbalance the decrease in face-to-face visits (-47%), with an overall reduction in the total number of visits of 1.36%, despite the notable increase in nursing visits (10.54%). The largest increases in 2020 were visits with diagnoses related to COVID-19 (ICD-10 codes Z20-Z29: 2.540%), along with codes related to economic and housing problems (ICD-10 codes Z55-Z65: 44.40%). Visits with most of the other diagnostic codes decreased in 2020 relative to those in 2019. The largest reductions were chronic pathologies such as arterial hypertension (ICD-10 codes I10-I16: -32.73%) or diabetes (ICD-10 codes E08-E13: -21.13%), but also obesity (E65-E68: -48.58%) and bodily injuries (ICD-10 code T14: -33.70%). Visits with mental health-related diagnostic codes decreased, but the decrease was less than the average decrease. There was a decrease in consultations-for children, adolescents, and adults-for respiratory infections (ICD-10 codes J00-J06: -40.96%). The results show large year-on-year variations (in absolute terms, an average of 12%), which is representative of the strong shock to the health system. CONCLUSIONS: The disruption in the primary care model in Catalonia has led to an explosive increase in the number of non-face-to-face visits. There has been a reduction in the number of visits for diagnoses related to chronic pathologies, respiratory infections, obesity, and bodily injuries. Instead, visits for diagnoses related to socioeconomic and housing problems have increased, which emphasizes the importance of social determinants of health in the context of this pandemic. Big data analytics with routine care data yield findings that are consistent with those derived from intuition in everyday clinical practice and can help inform decision making by health planners in order to use the next few years to focus on the least-treated diseases during the COVID-19 pandemic.

Determinants of Catalan public primary care professionals' intention to use digital clinical consultations (eConsulta) in the post-COVID-19 context: optical illusion or permanent transformation?

BACKGROUND: During lockdown due to the COVID-19 pandemic, telemedicine has become a necessary component of clinical practice for the purpose of providing safer patient care, and it has been used to support the healthcare needs of COVID-19 patients and routine primary care patients alike. However, this change has not been fully consolidated. OBJECTIVE: The objective of this study was to analyse the determinants of healthcare professionals' intention to use the eConsulta digital clinical consultations tool in the post-COVID-19 context. METHODS: A literature review of the Technology Acceptance Model (TAM) allowed us to construct a theoretical model and establish a set of hypotheses derived from it about the influence that a variety of different factors relating to both healthcare professionals and the institutions where they work had on those professionals' intention to use eConsulta. In order to confirm the proposed model, a mixed qualitative and quantitative methodology was used, and a questionnaire was designed to serve as the data collection instrument. The data were analysed using univariate and bivariate analysis techniques. To confirm the theoretical model, exploratory factor analysis and binary logistic regression were applied. RESULTS: The most important variables were those referring to perceived benefits (B=2.408) and the type of use that individuals habitually made of eConsulta (B=0.715). Environmental pressure (B=0.678), experience of technology (B=0.542), gender (B=0.639) and the degree of eConsulta implementation (B=0.266) were other variables influencing the intention to use the tool in the post-COVID-19 context. When replicating the previous analysis by professional group, experience of technology and gender in the physician group, and experience of the tool's use and the centre where a professional works in the nurse group, were found to be of considerable importance. CONCLUSIONS: The implementation and use of eConsulta had increased significantly as a consequence of the COVID-19 pandemic, and the majority of the healthcare professionals were satisfied with its use in practice and planned to incorporate it into their practices in the post-COVID-19 context. Perceived benefits and environmental pressure were determining factors in the attitude towards and intention to use eConsulta.

Characteristics of Citizens and Their Use of Teleconsultations in Primary Care in the Catalan Public Health System Before and During the COVID-19 Pandemic: Retrospective Descriptive Cross-sectional Study.

BACKGROUND: eConsulta-that is, asynchronous, two-way teleconsultation in primary care-is one of the most important telemedicine developments in the Catalan public health system, a service that has been heavily boosted by the onset of the COVID-19 pandemic. It is vital to know the characteristics of its users in order to be able to meet their needs and understand the coverage of this service in a context where there is reduced accessibility to the health system. OBJECTIVE: This study aims to analyze the profile of the citizens who use the eConsulta tool and the reasons for their use, as well as to gain an understanding of the elements that characterize their decision to use it while distinguishing between those who used it before and those who have used it since the onset of the COVID-19 pandemic. METHODS: A descriptive, observational study based on administrative data was performed. This study differentiates between the COVID-19 pandemic era and the period preceding it, considering the day the state of emergency was declared in Spain (ie, March 12, 2020) as the cut-off point. It also differentiates between eConsulta users who send messages and those who only receive them. RESULTS: During the pandemic, the number of unique users of this teleconsultation service had almost tripled, with up to 33.10 visits per 1000 inhabitants per month reported in the first three months. For the two user profiles analyzed, most users since the start of the COVID-19 outbreak were predominantly female, systematically younger, more actively employed, and with less complex pathologies. Furthermore, eConsulta users received more messages proactively from the health professionals. There was also a relative decrease in the number of conversations initiated by higher-income urban users and an increase in conversations initiated by users in rural areas. CONCLUSIONS: The COVID-19 pandemic has helped to generalize the use of telemedicine as a tool to compensate, to some extent, for the decline in face-to-face visits, especially among younger citizens in Catalonia. Telemedicine has made it possible to maintain contact between citizens and the health care system in the context of maximum complexity.

[Introduction of rapid streptococcal antigen test: can its use improve adherence to antibiotic therapy?] / Implantación de una prueba rápida de infección estreptocócica: ¿su uso también mejora la adherencia antibiótica?

OBJECTIVE: To evaluate the influence of the result of a rapid streptococcal antigen test in paediatric pharyngotonsillitis infections, in terms of improvement of antibiotic therapy adherence. DESIGN: Randomized community clinical trial with two study groups. LOCATION: Primary Care Centers in Central Catalonia. PARTICIPANTS: Patients aged from 3 to 15 years, who were attended at paediatric consultations on suspicion of pharyngotonsillitis caused by an infection between November 2010 and February 2011 (both included), were included in the study on a consecutive basis. 557 patients met the inclusion criteria and 519 were evaluated. INTERVENTION: The control group received the usual diagnostic-therapeutic algorithm. Rapid streptococcal antigen test was additionally performed to experimental group participants and it was indicated the more convenient treatment. MAIN MEASUREMENTS: Antibiotic adherence, non-adherence causes and socio-demographic risk factors were evaluated via telephone survey. RESULTS: Antibiotics were prescribed to 65.6% and paediatricians of the control group were more likely to prescribe antibiotic than the ones in the intervention group (88.5% vs 45.5%, p< 0.0001). 64.8% followed doctor's treatment orders, being failure following medication scheduling the main cause of non-adherence (25.6%). Medication adherence was higher in the experimental group (68%) than in the control group (62.9%) but no significant differences were found. CONCLUSION: Rapid strep test, complementing the use of Centor Criteria avoids unnecessary antibiotics prescriptions, but had not been proven to be effective in increasing medication adherence.

COVID-19 and the "Film Your Hospital" Conspiracy Theory: Social Network Analysis of Twitter Data.

BACKGROUND: During the COVID-19 pandemic, a number of conspiracy theories have emerged. A popular theory posits that the pandemic is a hoax and suggests that certain hospitals are "empty." Research has shown that accepting conspiracy theories increases the likelihood that an individual may ignore government advice about social distancing and other public health interventions. Due to the possibility of a second wave and future pandemics, it is important to gain an understanding of the drivers of misinformation and strategies to mitigate it. OBJECTIVE: This study set out to evaluate the #FilmYourHospital conspiracy theory on Twitter, attempting to understand the drivers behind it. More specifically, the objectives were to determine which online sources of information were used as evidence to support the theory, the ratio of automated to organic accounts in the network, and what lessons can be learned to mitigate the spread of such a conspiracy theory in the future. METHODS: Twitter data related to the #FilmYourHospital hashtag were retrieved and analyzed using social network analysis across a 7-day period from April 13-20, 2020. The data set consisted of 22,785 tweets and 11,333 Twitter users. The Botometer tool was used to identify accounts with a higher probability of being bots. RESULTS: The most important drivers of the conspiracy theory are ordinary citizens; one of the most influential accounts is a Brexit supporter. We found that YouTube was the information source most linked to by users. The most retweeted post belonged to a verified Twitter user, indicating that the user may have had more influence on the platform. There was a small number of automated accounts (bots) and deleted accounts within the network. CONCLUSIONS: Hashtags using and sharing conspiracy theories can be targeted in an effort to delegitimize content containing misinformation. Social media organizations need to bolster their efforts to label or remove content that contains misinformation. Public health authorities could enlist the assistance of influencers in spreading antinarrative content.

COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data.

BACKGROUND: Since the beginning of December 2019, the coronavirus disease (COVID-19) has spread rapidly around the world, which has led to increased discussions across online platforms. These conversations have also included various conspiracies shared by social media users. Amongst them, a popular theory has linked 5G to the spread of COVID-19, leading to misinformation and the burning of 5G towers in the United Kingdom. The understanding of the drivers of fake news and quick policies oriented to isolate and rebate misinformation are keys to combating it. OBJECTIVE: The aim of this study is to develop an understanding of the drivers of the 5G COVID-19 conspiracy theory and strategies to deal with such misinformation. METHODS: This paper performs a social network analysis and content analysis of Twitter data from a 7-day period (Friday, March 27, 2020, to Saturday, April 4, 2020) in which the #5GCoronavirus hashtag was trending on Twitter in the United Kingdom. Influential users were analyzed through social network graph clusters. The size of the nodes were ranked by their betweenness centrality score, and the graph's vertices were grouped by cluster using the Clauset-Newman-Moore algorithm. The topics and web sources used were also examined. RESULTS: Social network analysis identified that the two largest network structures consisted of an isolates group and a broadcast group. The analysis also revealed that there was a lack of an authority figure who was actively combating such misinformation. Content analysis revealed that, of 233 sample tweets, 34.8% (n=81) contained views that 5G and COVID-19 were linked, 32.2% (n=75) denounced the conspiracy theory, and 33.0% (n=77) were general tweets not expressing any personal views or opinions. Thus, 65.2% (n=152) of tweets derived from nonconspiracy theory supporters, which suggests that, although the topic attracted high volume, only a handful of users genuinely believed the conspiracy. This paper also shows that fake news websites were the most popular web source shared by users; although, YouTube videos were also shared. The study also identified an account whose sole aim was to spread the conspiracy theory on Twitter. CONCLUSIONS: The combination of quick and targeted interventions oriented to delegitimize the sources of fake information is key to reducing their impact. Those users voicing their views against the conspiracy theory, link baiting, or sharing humorous tweets inadvertently raised the profile of the topic, suggesting that policymakers should insist in the efforts of isolating opinions that are based on fake news. Many social media platforms provide users with the ability to report inappropriate content, which should be used. This study is the first to analyze the 5G conspiracy theory in the context of COVID-19 on Twitter offering practical guidance to health authorities in how, in the context of a pandemic, rumors may be combated in the future.