Patterns of psychotropic drug prescriptions and general practice consultations among community-dwelling older people with dementia during the first two years of the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic and subsequent lockdown measures had serious implications for community-dwelling older people with dementia. While the short-term impacts of the pandemic on this population have been well studied, there is limited research on its long-term impacts. Quantifying the long-term impacts may provide insights into whether healthcare adaptations are needed after the acute phase of the pandemic to balance infection prevention measures with healthcare provision. This study aims to examine patterns of psychotropic drug prescriptions and general practice consultations in community-dwelling older people with dementia during the first two years of the pandemic. METHODS: We utilised routine electronic health records from three Dutch academic general practice research networks located in the North, East, and South, between 2019 and 2021. We (1) compared the weekly prescription rates of five groups of psychotropic drugs and two groups of tracer drugs, and weekly general practice consultation rates per 1000 participants, between the first two years of the pandemic and the pre-pandemic phase, (2) calculated changes in these rates during three lockdowns and two relaxation phases relative to the corresponding weeks in 2019, and (3) employed interrupted time series analyses for the prescription rates. Analyses were performed for each region separately. RESULTS: The study population sizes in the North, East, and South between 2019 and 2021 were 1726 to 1916, 93 to 117, and 904 to 960, respectively. Data from the East was excluded from the statistical analyses due to the limited sample size. During the first two years of the pandemic, the prescription rates of psychotropic drugs were either lower or similar to those in the pre-pandemic phase, with differences varying from -2.6‰ to -10.2‰. In contrast, consultation rates during the pandemic were higher than in the pre-pandemic phase, increasing by around 38‰. CONCLUSIONS: This study demonstrates a decrease in psychotropic drug prescriptions, but an increase in general practice consultations among community-dwelling older people with dementia during the first two years of the pandemic. However, reasons for the decrease in psychotropic drug prescriptions are unclear due to limited information on the presence of neuropsychiatric symptoms and the appropriateness of prescribing.

Quality indicators for collaborative care networks in persistent somatic symptoms and functional disorders: a modified delphi study.

BACKGROUND: Care for persistent somatic symptoms and functional disorders (PSS/FD) is often fragmented. Collaborative care networks (CCNs) may improve care quality for PSS/FD. Effectiveness likely depends on their functioning, but we lack a straightforward quality evaluation system. We therefore aimed to develop quality indicators to evaluate CCNs for PSS/FD. METHOD: Using an online three-round modified Delphi process, an expert panel provided, selected and ranked quality indicators for CCNs in PSS/FD. Recruited experts were diverse healthcare professionals with relevant experience in PSS/FD care in the Netherlands. RESULTS: The expert panel consisted of 86 professionals representing 15 disciplines, most commonly physiotherapists, psychologists and medical specialists. 58% had more than 10 years experience in PSS/FD care. Round one resulted in 994 quotations, which resulted in 46 unique quality indicators. These were prioritised in round two and ranked in round three by the panel, resulting in a final top ten. The top three indicators were: "shared vision of care for PSS/FD", "pathways tailored to the individual patient", and "sufficiently-experienced caregivers for PSS/FD". CONCLUSIONS: The identified quality indicators to evaluate CCNs in the field of PSS/FD can be implemented in clinical practice and may be useful in improving services and when assessing effectiveness.

The burden of persistent symptom diagnoses in primary care patients: a cross-sectional study.

INTRODUCTION: The burden of symptoms is a subjective experience of distress. Little is known on the burden of feeling unwell in patients with persistent symptom diagnoses. The aim of this study was to assess the burden in primary care patients with persistent symptom diagnoses compared to other primary care patients. METHODS: A cross-sectional study was performed in which an online survey was sent to random samples of 889 patients with persistent symptom diagnoses (>1 year) and 443 other primary care patients after a transactional identification in a Dutch primary care data registry. Validated questionnaires were used to assess the severity of symptoms (PHQ-15), Symptom Intensity and Symptom Interference questionnaires, depression (PHQ-9), anxiety (GAD-7), quality of life (SF-12 and EQ-5D-5L)) and social functioning (SPF-ILs). RESULTS: Overall, 243 patients completed the survey: 178 (73.3%) patients in the persistent symptom diagnoses group and 65 (26.7%) patients in the control group. In the persistent group, 65 (36.5%) patients did not have persistent symptom(s) anymore according to the survey response. Patients who still had persistent symptom diagnoses (n = 113, 63.5%) reported significantly more severe somatic symptoms (mean difference = 3.6, [95% CI: 0.24, 4.41]), depression (mean difference = 3.0 [95% CI: 1.24, 3.61]) and anxiety (mean difference = 2.3 [95% CI: 0.28, 3.10]) and significantly lower physical functioning (mean difference = - 6.8 [95% CI: -8.96, -3.92]). CONCLUSION: Patients with persistent symptom diagnoses suffer from high levels of symptoms burden. The burden in patient with persistent symptoms should not be underestimated as awareness of this burden may enhance person-centered care.

Optimizing placebo and minimizing nocebo effects through communication: e-learning and virtual reality training development.

BACKGROUND: The effects of many treatments in healthcare are determined by factors other than the treatment itself. Patients' expectations and the relationship with their healthcare provider can significantly affect treatment outcomes and thereby play a major role in eliciting placebo and nocebo effects. We aim to develop and evaluate an innovative communication training, consisting of an e-learning and virtual reality (VR) training, for healthcare providers across all disciplines, to optimize placebo and minimize nocebo effects through healthcare provider-patient communication. The current paper describes the development, mid-term evaluation, optimization, and final evaluation of the communication training, conducted in The Netherlands. METHODS: The development of both the e-learning and the VR training consisted of four phases: 1) content and technical development, 2) mid-term evaluation by healthcare providers and placebo/communication researchers, 3) optimization of the training, and 4) final evaluation by healthcare providers. To ensure the success, applicability, authenticity, and user-friendliness of the communication training, there was ongoing structural collaboration with healthcare providers as future end users, experts in the field of placebo/communication research, and educational experts in all phases. RESULTS: Placebo/communication researchers and healthcare providers evaluated the e-learning positively (overall 7.9 on 0-10 scale) and the content was perceived as useful, accessible, and interesting. The VR training was assessed with an overall 6.9 (0-10 scale) and was evaluated as user-friendly and a safe method for practicing communication skills. Although there were some concerns regarding the authenticity of the VR training (i.e. to what extent the virtual patient reacts like a real patient), placebo and communication researchers, as well as healthcare providers, recognized the significant potential of the VR training for the future. CONCLUSIONS: We have developed an innovative and user-friendly communication training, consisting of an e-learning and VR training (2D and 3D), that can be used to teach healthcare providers how to optimize placebo effects and minimize nocebo effects through healthcare provider-patient communication. Future studies can work on improved authenticity, translate the training into other languages and cultures, expand with additional VR cases, and measure the expected effects on providers communication skills and subsequently patient outcomes.

Persistence of somatic symptoms after COVID-19 in the Netherlands: an observational cohort study.

BACKGROUND: Patients often report various symptoms after recovery from acute COVID-19. Previous studies on post-COVID-19 condition have not corrected for the prevalence and severity of these common symptoms before COVID-19 and in populations without SARS-CoV-2 infection. We aimed to analyse the nature, prevalence, and severity of long-term symptoms related to COVID-19, while correcting for symptoms present before SARS-CoV-2 infection and controlling for the symptom dynamics in the population without infection. METHODS: This study is based on data collected within Lifelines, a multidisciplinary, prospective, population-based, observational cohort study examining the health and health-related behaviours of people living in the north of the Netherlands. All Lifelines participants aged 18 years or older received invitations to digital COVID-19 questionnaires. Longitudinal dynamics of 23 somatic symptoms surrounding COVID-19 diagnoses (due to SARS-CoV-2 alpha [B.1.1.7] variant or previous variants) were assessed using 24 repeated measurements between March 31, 2020, and Aug 2, 2021. Participants with COVID-19 (a positive SARS-CoV-2 test or a physician's diagnosis of COVID-19) were matched by age, sex, and time to COVID-19-negative controls. We recorded symptom severity before and after COVID-19 in participants with COVID-19 and compared that with matched controls. FINDINGS: 76 422 participants (mean age 53·7 years [SD 12·9], 46 329 [60·8%] were female) completed a total of 883 973 questionnaires. Of these, 4231 (5·5%) participants had COVID-19 and were matched to 8462 controls. Persistent symptoms in COVID-19-positive participants at 90-150 days after COVID-19 compared with before COVID-19 and compared with matched controls included chest pain, difficulties with breathing, pain when breathing, painful muscles, ageusia or anosmia, tingling extremities, lump in throat, feeling hot and cold alternately, heavy arms or legs, and general tiredness. In 12·7% of patients, these symptoms could be attributed to COVID-19, as 381 (21·4%) of 1782 COVID-19-positive participants versus 361 (8·7%) of 4130 COVID-19-negative controls had at least one of these core symptoms substantially increased to at least moderate severity at 90-150 days after COVID-19 diagnosis or matched timepoint. INTERPRETATION: To our knowledge, this is the first study to report the nature and prevalence of post-COVID-19 condition, while correcting for individual symptoms present before COVID-19 and the symptom dynamics in the population without SARS-CoV-2 infection during the pandemic. Further research that distinguishes potential mechanisms driving post-COVID-19-related symptomatology is required. FUNDING: ZonMw; Dutch Ministry of Health, Welfare, and Sport; Dutch Ministry of Economic Affairs; University Medical Center Groningen, University of Groningen; Provinces of Drenthe, Friesland, and Groningen.

Improving the Reporting of Primary Care Research: Consensus Reporting Items for Studies in Primary Care-the CRISP Statement.

Primary care (PC) is a unique clinical specialty and research discipline with its own perspectives and methods. Research in this field uses varied research methods and study designs to investigate myriad topics. The diversity of PC presents challenges for reporting, and despite the proliferation of reporting guidelines, none focuses specifically on the needs of PC. The Consensus Reporting Items for Studies in Primary Care (CRISP) Checklist guides reporting of PC research to include the information needed by the diverse PC community, including practitioners, patients, and communities. CRISP complements current guidelines to enhance the reporting, dissemination, and application of PC research findings and results. Prior CRISP studies documented opportunities to improve research reporting in this field. Our surveys of the international, interdisciplinary, and interprofessional PC community identified essential items to include in PC research reports. A 2-round Delphi study identified a consensus list of items considered necessary. The CRISP Checklist contains 24 items that describe the research team, patients, study participants, health conditions, clinical encounters, care teams, interventions, study measures, settings of care, and implementation of findings/results in PC. Not every item applies to every study design or topic. The CRISP guidelines inform the design and reporting of (1) studies done by PC researchers, (2) studies done by other investigators in PC populations and settings, and (3) studies intended for application in PC practice. Improved reporting of the context of the clinical services and the process of research is critical to interpreting study findings/results and applying them to diverse populations and varied settings in PC.Annals "Online First" article.

Primary Care Research: Looking Back and Moving Forward With Reflections on NAPCRG's First 50 Years.

NAPCRG celebrated 50 years of leadership and service at its 2022 meeting. A varied team of primary care investigators, clinicians, learners, patients, and community members reflected on the organization's past, present, and future. Started in 1972 by a small group of general practice researchers in the United States, Canada, and the United Kingdom, NAPCRG has evolved into an international, interprofessional, interdisciplinary, and intergenerational group devoted to improving health and health care through primary care research. NAPCRG provides a nurturing home to researchers and teams working in partnership with individuals, families, and communities. The organization builds upon enduring values to create partnerships, advance research methods, and nurture a community of contributors. NAPCRG has made foundational contributions, including identifying the need for primary care research to inform primary care practice, practice-based research networks, qualitative and mixed-methods research, community-based participatory research, patient safety, practice transformation, and partnerships with patients and communities. Landmark documents have helped define classification systems for primary care, responsible research with communities, the central role of primary care in health care systems, opportunities to revitalize generalist practice, and shared strategies to build the future of family medicine. The future of health and health care depends upon strengthening primary care and primary care research with stronger support, infrastructure, training, and workforce. New technologies offer opportunities to advance research, enhance care, and improve outcomes. Stronger partnerships can empower primary care research with patients and communities and increase commitments to diversity and quality care for all. NAPCRG offers a home for all partners in this work.

What can we learn from experiences in general practice during the COVID-19 pandemic? A qualitative study.

BACKGROUND: Experiences with organizational changes in daytime general practices and out-of-hours (OOH) services during the COVID-19 pandemic may help to address the challenges in general practice care that were already a concern before the crisis. This study aimed to describe these experiences and the potential usefulness of the organizational changes for future general practice care and any future pandemics. METHODS: Semi-structured interviews were performed among 11 directors of OOH services, and 19 (locum) general practitioners (GPs) or practice managers, who were purposively sampled. Video or telephone interviews were performed in two rounds: between November 2020 and January 2021 and between May 2021 and August 2021. The data were analyzed using thematic analysis methods. RESULTS: Three themes emerged from the data: (1) Changes in the triage procedures; in GP practices and OOH services, stricter triage criteria were implemented, and GPs were more actively involved in the triage process. These measures helped to reduce the number of 'low urgency' face-to-face consultations. (2) Changes in GP care; there was a shift towards video and telephone consultations, allowing GPs to spend more time with patients during the remaining face-to-face consultations. For chronic patients, the shift towards telemonitoring appeared to encourage self-care, and postponing face-to-face consultations for regular checkups appeared to be unproblematic for stable patients. (3) Coordination of GP care and information communication flow during the COVID-19 pandemic; OOH directors perceived a lack of consistency in the information from various governmental and non-governmental parties on containment measures and guidelines related to COVID-19, making it difficult to act on them. The COVID-19 pandemic intensified collaboration between GPs, OOH services, and other healthcare professionals. CONCLUSIONS: The results of this study indicate that some of the organizational changes, such as stricter triage, remote consultations, and changes in managed care of chronic patients, may help in tackling the pre-existing challenges in GP care from before the COVID-19 pandemic. However, more extensive research and continuous monitoring are necessary to establish the effects on patients and their health outcomes. To navigate future pandemics, the intensified collaboration between health professionals should be maintained, while there is considerable room for improvement in the provision of unambiguous information.

Sex and gender differences in primary care help-seeking for common somatic symptoms: a longitudinal study.

OBJECTIVE: Women are reported to consult general practitioners (GPs) more frequently than men. However, previous studies on sex differences in help-seeking behavior for somatic symptoms do not distinguish between sex and gender, do not account for sex differences in presented symptoms, and are frequently conducted in clinical settings, automatically excluding non-help seekers. Therefore, we aim to assess the independent associations of sex and gender with primary care help-seeking for somatic symptoms in the general population. DESIGN AND SETTING: Records from the longitudinal population-based Lifelines Cohort Study were linked to routine electronic health records from GPs. SUBJECTS: Participants reporting new-onset common somatic symptoms. MAIN OUTCOME MEASURES: Associations between sex and gender, operationalized via a novel gender-index, with primary care help-seeking for somatic symptoms and differences in the strength of the association between gender and help-seeking for somatic symptoms between women and men. RESULTS: Of 20,187 individuals with linked data, 8325 participants (67.5% female; mean age = 44.5 years [SD = 12.9]) reported at least one new-onset somatic symptom. Hereof, 255 (3.1%) consulted the GP within 6 weeks of symptom onset. Female sex was positively associated with consulting the GP (OR = 1.78; 95%CI = 1.13-2.80), whereas feminine gender was not (OR = 0.67; 95%CI = 0.39-1.16). The latter association did not differ in strength between men and women. More paid working days are negatively associated with help-seeking (OR = 0.95; 95%CI = 0.91-0.98). CONCLUSIONS: The results suggest that female sex rather than feminine gender is associated with primary care help-seeking behavior for somatic symptoms. Nevertheless, clinicians should be aware that gender-related variables, such as mean paid working days, may be associated with help-seeking behavior.

A Natural Language Processing Model for COVID-19 Detection Based on Dutch General Practice Electronic Health Records by Using Bidirectional Encoder Representations From Transformers: Development and Validation Study.

BACKGROUND: Natural language processing (NLP) models such as bidirectional encoder representations from transformers (BERT) hold promise in revolutionizing disease identification from electronic health records (EHRs) by potentially enhancing efficiency and accuracy. However, their practical application in practice settings demands a comprehensive and multidisciplinary approach to development and validation. The COVID-19 pandemic highlighted challenges in disease identification due to limited testing availability and challenges in handling unstructured data. In the Netherlands, where general practitioners (GPs) serve as the first point of contact for health care, EHRs generated by these primary care providers contain a wealth of potentially valuable information. Nonetheless, the unstructured nature of free-text entries in EHRs poses challenges in identifying trends, detecting disease outbreaks, or accurately pinpointing COVID-19 cases. OBJECTIVE: This study aims to develop and validate a BERT model for detecting COVID-19 consultations in general practice EHRs in the Netherlands. METHODS: The BERT model was initially pretrained on Dutch language data and fine-tuned using a comprehensive EHR data set comprising confirmed COVID-19 GP consultations and non-COVID-19-related consultations. The data set was partitioned into a training and development set, and the model's performance was evaluated on an independent test set that served as the primary measure of its effectiveness in COVID-19 detection. To validate the final model, its performance was assessed through 3 approaches. First, external validation was applied on an EHR data set from a different geographic region in the Netherlands. Second, validation was conducted using results of polymerase chain reaction (PCR) test data obtained from municipal health services. Lastly, correlation between predicted outcomes and COVID-19-related hospitalizations in the Netherlands was assessed, encompassing the period around the outbreak of the pandemic in the Netherlands, that is, the period before widespread testing. RESULTS: The model development used 300,359 GP consultations. We developed a highly accurate model for COVID-19 consultations (accuracy 0.97, F1-score 0.90, precision 0.85, recall 0.85, specificity 0.99). External validations showed comparable high performance. Validation on PCR test data showed high recall but low precision and specificity. Validation using hospital data showed significant correlation between COVID-19 predictions of the model and COVID-19-related hospitalizations (F1-score 96.8; P<.001; R2=0.69). Most importantly, the model was able to predict COVID-19 cases weeks before the first confirmed case in the Netherlands. CONCLUSIONS: The developed BERT model was able to accurately identify COVID-19 cases among GP consultations even preceding confirmed cases. The validated efficacy of our BERT model highlights the potential of NLP models to identify disease outbreaks early, exemplifying the power of multidisciplinary efforts in harnessing technology for disease identification. Moreover, the implications of this study extend beyond COVID-19 and offer a blueprint for the early recognition of various illnesses, revealing that such models could revolutionize disease surveillance.

Mind your words: Oncologists' communication that potentially harms patients with advanced cancer: A survey on patient perspectives.

BACKGROUND: Many complaints in medicine and in advanced illnesses are about communication. Little is known about which specific communications harm. This study explored the perspectives of patients with advanced cancer about potentially harmful communication behaviors by oncologists and helpful alternatives. METHODS: An online survey design was used that was based on literature scoping and patient/clinician/researcher input. Patients with advanced cancer (n = 74) reflected on the potential harmfulness of 19 communication situations. They were asked whether they perceived the situation as one in which communication could be harmful (yes/no). If they answered "yes," they were asked whether they perceived the examples as harmful (yes/no) or helpful (yes/no) and to provide open comments. Results were analyzed quantitatively and qualitatively (content analysis). RESULTS: Communication regarding information provision, prognosis discussion, decision-making, and empathy could be unnecessarily potentially harmful, and this occurred in various ways, such as making vague promises instead of concrete ones (92%), being too directive in decision-making (qualitative), and not listening to the patient (88%). Not all patients considered other situations potentially harmful (eg, introducing the option of refraining from anticancer therapy [49%] and giving too much [prognostic] information [60%]). Exploring each individual patients' needs/preferences seemed to be a precondition for helpful communication. CONCLUSIONS: This article provides patient perspectives on oncologists' unnecessarily potentially harmful communication behaviors and offers practical tools to improve communication in advanced cancer care. Both preventable pitfalls and delicate challenges requiring an individualized approach, where exploration might help, are described. Although providing difficult and unwelcome news is a core task for clinicians, this study might help them to do so while preventing potentially unnecessary harm.

Female sex and femininity independently associate with common somatic symptom trajectories.

BACKGROUND: Multiple predictors have been associated with persistent somatic symptoms. However, previous studies problematically defined the persistence of symptoms, conflated participants' sex and gender, and focused on patient populations. Therefore, we studied associations between predictors, especially sex and gender, and longitudinal patterns of somatic symptoms in the general adult population. We also assessed whether predictors for persisting symptoms differ between sexes. METHOD: To identify developmental trajectories of somatic symptoms, assessed by the SCL-90 SOM, we used latent class trajectory modeling in the Dutch Lifelines Cohort Study [N = 150 494; 58.6% female; median time to follow-up: 46.0 (min-max: 22.0-123.0) months]. To identify predictors of trajectories, we applied multiple logistic regression analyses. Predictors were measured by surveys at baseline and a composite gender index was previously developed. RESULTS: A five-class linear LCGA model fitted the data best: 93.7% of the population had a stable symptom trajectory, whereas 1.5% and 4.8% of the population had a consistently increasing or decreasing symptom trajectory, respectively. Female sex predicted severe, stable symptom severity (OR 1.74, 95% CI 1.36-2.22), but not increasing symptom severity (OR 1.15, 95% CI 0.99-1.40). Femininity was protective hereof (OR 0.60, 95% CI 0.44-0.82 and OR 0.66, 95% CI 0.51-0.85, respectively). Merely a few predictors of symptom severity, for instance hours of paid employment and physical functioning, differed in strength between sexes. Yet, effect sizes were small. CONCLUSION: Female sex and femininity predict symptom trajectories. No large sex differences in the strength of additional predictors were found, thus it may not be clinically useful to distinguish between predictors specific to male or female patients of persistent somatic symptoms.

Physicians' and Patients' Interruptions in Clinical Practice: A Quantitative Analysis.

PURPOSE: Physicians' interruptions have long been considered intrusive, masculine actions that inhibit patient participation, but a systematic analysis of interruptions in clinical interaction is lacking. This study aimed to examine when and how primary care physicians and patients interrupt each other during consultations. METHODS: We coded and quantitatively analyzed interruption type (cooperative vs intrusive) in 84 natural interactions between 17 primary care physicians and 84 patients with common somatic symptoms. Data were analyzed using a mixed-effects logistic regression model, with role, gender, and consultation phase as predictors. RESULTS: Of the 2,405 interruptions observed, 82.9% were cooperative. Among physicians, men were more likely to make an intrusive interruption than women (ß = 0.43; SE, 0.21; odds ratio [OR] = 1.54; 95% CI, 1.03-2.31), whereas among patients, men were less likely to make an intrusive interruption than women (ß = -0.35; SE, 0.17; OR = 0.70; 95% CI, 0.50-0.98). Patients' interruptions were more likely to be intrusive than physicians' interruptions in the phase of problem presentation (ß = 0.71; SE, 0.23; OR = 2.03; 95% CI, 1.30-3.20), but not in the phase of diagnosis and/or treatment plan discussion (ß = -0.17; SE, 0.15; OR = 0.85; 95% CI, 0.63-1.15). CONCLUSIONS: Most interruptions in clinical interaction are cooperative and may enhance the interaction. The nature of physicians' and patients' interruptions is the result of an interplay between role, gender, and consultation phase.

Coding linguistic elements in clinical interactions: a step-by-step guide for analyzing communication form.

BACKGROUND: The quality of communication between healthcare professionals (HCPs) and patients affects health outcomes. Different coding systems have been developed to unravel the interaction. Most schemes consist of predefined categories that quantify the content of communication (the what). Though the form (the how) of the interaction is equally important, protocols that systematically code variations in form are lacking. Patterns of form and how they may differ between groups therefore remain unnoticed. To fill this gap, we present CLECI, Coding Linguistic Elements in Clinical Interactions, a protocol for the development of a quantitative codebook analyzing communication form in medical interactions. METHODS: Analyzing with a CLECI codebook is a four-step process, i.e. preparation, codebook development, (double-)coding, and analysis and report. Core activities within these phases are research question formulation, data collection, selection of utterances, iterative deductive and inductive category refinement, reliability testing, coding, analysis, and reporting. RESULTS AND CONCLUSION: We present step-by-step instructions for a CLECI analysis and illustrate this process in a case study. We highlight theoretical and practical issues as well as the iterative codebook development which combines theory-based and data-driven coding. Theory-based codes assess how relevant linguistic elements occur in natural interactions, whereas codes derived from the data accommodate linguistic elements to real-life interactions and contribute to theory-building. This combined approach increases research validity, enhances theory, and adjusts to fit naturally occurring data. CLECI will facilitate the study of communication form in clinical interactions and other institutional settings.

Post-acute and long-COVID-19 symptoms in patients with mild diseases: a systematic review.

BACKGROUND: It is expected that GPs are increasingly confronted with a large group of patients with symptoms persisting three weeks after initial symptoms of a mild (managed in the outpatient setting) COVID-19 infection. Currently, research on these persistent symptoms mainly focuses on patients with severe infections (managed in an inpatient setting) whereas patients with mild disease are rarely studied. OBJECTIVE: The main objective of this systematic review was to create an overview of the nature and frequency of persistent symptoms experienced by patients after mild COVID-19 infection. METHODS: Systematic literature searches were performed in Pubmed, Embase and PsychINFO on 2 February 2021. Quantitative studies, qualitative studies, clinical lessons and case reports were considered eligible designs. RESULTS: In total, nine articles were included in this literature review. The frequency of persistent symptoms in patients after mild COVID-19 infection ranged between 10% and 35%. Symptoms persisting after a mild COVID-19 infection can be distinguished into physical, mental and social symptoms. Fatigue was the most frequently described persistent symptom. Other frequently occurring persistent symptoms were dyspnoea, cough, chest pain, headache, decreased mental and cognitive status and olfactory dysfunction. In addition, it was found that persisting symptoms after a mild COVID-19 infection can have major consequences for work and daily functioning. CONCLUSION: There is already some evidence that symptoms of mild COVID-19 persist after 3 weeks in a third of patients. However, there is a lack of data about symptoms persisting after 3 months (long-COVID). More research is needed to help GPs in managing long-COVID.

Assessment of functioning in Dutch primary care: Development study of a consultation tool for patients with chronic conditions and multimorbidity.

BACKGROUND: In primary care, a shift from a disease-oriented approach for patients with multimorbidity towards a more person-centred approach is needed. AIM: To transform a self-report questionnaire for patients with chronic conditions in primary care, the Primary Care Functioning Scale (PCFS), into an understandable, visually attractive and feasible consultation tool for patients and health care providers. The consultation tool consists of a web-based version of the PCFS, which is filled in by the patient and is processed to a feedback report that summarizes and visualizes the main findings. The feedback report can be discussed with the patient to facilitate a more person-centred conversation for patients with chronic conditions and multimorbidity in general practice. DESIGN AND SETTING: In this qualitative study, we developed the consultation tool by using design thinking in a participatory developmental process. METHODS: In the first phase, we constructed five different feedback report templates to summarize and display the results of a completed PCFS questionnaire in a series of two expert meetings with patients and general practitioners (GPs). In the second phase, we performed an exploratory qualitative interview study involving dyads of patients with chronic conditions and their practice nurses. In an iterative process, we explored their experiences with the consultation tool. RESULTS: Patients, as well as GPs, preferred a clear manner of presenting the results of the questionnaire in a feedback report. In 18 interviews with patients and practice nurses during three different interview rounds, we adjusted the feedback report and consultation tool based on the input from patients and practice nurses. After the final interview round, patients and practice nurses consented that the consultation tool was useful for having a more in-depth consultation about functioning and patients' preferences when integrated into the regularly scheduled consultations. CONCLUSION: We were able to develop an understandable and feasible consultation tool that is applicable in already existing chronic disease management programmes in general practice in the Netherlands. PATIENT OR PUBLIC CONTRIBUTION: To increase the understandability and feasibility of the consultation tool, we collaborated with end-users and actively involved patients, GPs and practice nurses in a participatory development process.

How General Practitioners Raise Psychosocial Concerns as a Potential Cause of Medically Unexplained Symptoms: A Conversation Analysis.

A common explanation for medically unexplained symptoms (MUS) relates patients' psychosocial concerns to their physical ailments. The present study used conversation analysis to examine how general practitioners (GPs) ascribe psychosocial causes to patients' unexplained symptoms during medical consultations. Our data consisted of 36 recorded consultations from Dutch general practice. We found that GPs raise psychosocial concerns as a potential cause of MUS in 14 consultations, either captured in 1) history-taking questions, or 2) diagnostic explanations. Whereas questions invited patient ideas, explanations did not make relevant patient responses in adjacent turns and subordinated patients' knowledge in symptom experiences to the GP's medical expertise. By questioning patients whether their symptoms may have psychosocial causes GPs enabled symptom explanations to be constructed collaboratively. Furthermore, additional data exploration showed that GPs lay ground for psychosocial ascriptions by first introducing psychosocial concerns as a consequence rather than a cause of complaints. Such preliminary activities allowed GPs to initiate rather delicate psychosocial ascriptions later in the consultation.

The COVID-19 Pandemic in Nijmegen, the Netherlands: Changes in Presented Health Problems and Demand for Primary Care.

We studied the changes in presented health problems and demand for primary care since the outbreak of coronavirus disease 2019 (COVID-19) in the Netherlands. We analyzed prominent symptom features of COVID-19, and COVID-19 itself as the reason for encounter. Also, we analyzed the number and type of encounters for common important health problems. Respiratory tract symptoms related to COVID-19 were presented more often in 2020 than in 2019. We observed a dramatic increase of telephone/e-mail/Internet consultations in the months after the outbreak. Contacts for other health problems such as prevention and acute and chronic conditions plummeted substantially (P <0.001); mental health problems stabilized.

How to learn skilled communication in primary care MUS consultations: a focus group study.

BACKGROUND: Many general practitioners (GPs) experience communication problems in medically unexplained symptoms (MUS) consultations as they are insufficiently equipped with adequate communication skills or do not apply these in MUS consultations. OBJECTIVE: To define the most important learnable communication elements during MUS consultations according to MUS patients, GPs, MUS experts and teachers and to explore how these elements should be taught to GPs and GP trainees. METHODS: Five focus groups were conducted with homogeneous groups of MUS patients, GPs, MUS experts and teachers. MUS patients and GPs formulated a list of important communication elements. MUS experts identified from this list the most important communication elements. Teachers explored how these elements could be trained to GPs and GP trainees. Two researchers independently analysed the data applying the principles of constant comparative analysis. RESULTS: MUS patients and GPs identified a list of important communication elements. From this list, MUS experts selected five important communication elements: (1) thorough somatic and psychosocial exploration, (2) communication with empathy, (3) creating a shared understanding of the problem, (4) providing a tangible explanation and (5) taking control. Teachers described three teaching methods for these communication elements: (1) awareness and reflection of GPs about their feelings towards MUS patients, (2) assessment of GPs' individual needs and (3) training and supervision in daily practice. CONCLUSION: Teachers consider a focus on personal attitudes and needs, which should be guided by opportunities to practice and receive supervision, as the best method to teach GPs about communication in MUS consultations.KEY POINTSMany GPs experience difficulties in communication with patients with MUS.There is a need to equip GPs with communication skills to manage MUS consultations more adequately.Role-playing with simulation patients, reflection on video-consultations and joint consultations with the supervisor may increase the GPs' awareness of their attitude towards MUS patients and may help GPs to identify their individual learning-points.

Sex differences in incidence of respiratory symptoms and management by general practitioners.

BACKGROUND: Differences between women and men play an important role in lung physiology and epidemiology of respiratory diseases, but also in the health care processes. OBJECTIVE: To analyse sex differences in patients encountering their general practitioner (GP) with respiratory symptoms with regard to incidence, GP's management and final diagnoses. METHODS: Retrospective cohort study, using data of the Dutch Practice Based Research Network. All patients who encountered their GP from 01-07-2013 until 30-06-2018 with a new episode of care starting with a reason for encounter in the respiratory category (R) of the ICPC-2 classification were included (n = 16 773). Multi-level logistic regression was used to analyse influence of patients' sex on management of GPs with adjustment for possible confounders. RESULTS: We found a significant higher incidence of respiratory symptoms in women than in men: 230/1000 patient years [95% confidence interval (CI) 227-232] and 186/1000 patient years (95% CI 183-189), respectively. When presenting with cough, GPs are more likely to perform physical examination [odds ratio (OR) 1.22; 95% CI 1.11-1.35] and diagnostic radiology (OR 1.25; 95% CI 1.08-1.44), but less likely to prescribe medication (OR 0.88; 95% CI 0.82-0.95) in men. When visiting the GP with dyspnoea, men more often undergo diagnostic imaging (OR 1.32; 95% CI 1.05-1.66) and are more often referred to a specialist (OR 1.35; 95% CI 1.13-1.62). CONCLUSIONS: Women encounter their GP more frequently with respiratory symptoms than men and GPs perform more diagnostic investigations in men. We suggest more research in general practice focussing on sex differences and possible confounders.