Efficacy of cognitive behavioral therapy targeting severe fatigue following COVID-19: results of a randomized controlled trial.

BACKGROUND: Severe fatigue following COVID-19 is prevalent and debilitating. This study investigated the efficacy of cognitive behavioral therapy (CBT) for severe fatigue following COVID-19. METHODS: A multicenter, 2-arm randomized controlled trial was conducted in the Netherlands with patients being severely fatigued 3-12 months following COVID-19. Patients (n = 114) were randomly assigned (1:1) to CBT or care as usual (CAU). CBT, targeting perpetuating factors of fatigue, was provided for 17 weeks. The primary outcome was the overall mean difference between CBT and CAU on the fatigue severity subscale of the Checklist Individual Strength, directly post CBT or CAU (T1), and after six months (T2). Secondary outcomes were differences in proportions of patients meeting criteria for severe and/or chronic fatigue, differences in physical and social functioning, somatic symptoms and problems concentrating between CBT and CAU. RESULTS: Patients were mainly non-hospitalized and self-referred. Patients who received CBT were significantly less severely fatigued across follow-up assessments than patients receiving CAU (-8.8, (95% confidence interval (CI)) -11.9 to -5.8); P < 0.001), representing a medium Cohen's d effect size (0.69). The between-group difference in fatigue severity was present at T1 -9.3 (95% CI -13.3 to -5.3) and T2 -8.4 (95% CI -13.1 to -3.7). All secondary outcomes favored CBT. Eight adverse events were recorded during CBT, and 20 during CAU. No serious adverse events were recorded. CONCLUSIONS: Among patients, who were mainly non-hospitalized and self-referred, CBT was effective in reducing fatigue. The positive effect was sustained at six month follow-up.

Care by general practitioners for patients with asthma or COPD during the COVID-19 pandemic.

The impact of the COVID-19 pandemic on general practitioners' (GP) care for patients with asthma and/or COPD is largely unknown. To describe the impact of the pandemic on asthma or COPD-related GP care, we analysed routinely recorded electronic health records data from Dutch general practices and out-of-hours (OOH) services. During the COVID-19 pandemic (2020), the contact rates for asthma and/or COPD were significantly lower in GP practices and OOH services compared with the pre-pandemic period (2019) (respectively, 15% lower and 28% lower). The proportion of telephone contacts increased significantly with 13%-point in GP practices and 12%-point at OOH services, while the proportion of face-to-face contacts decreased. Furthermore, the proportion of high urgent contacts with OOH services decreased by 8.5%-point. To conclude, the overall contact rates in GP practices and OOH services decreased, while more contacts were remote. Lower contact rates have, after a short follow-up, not resulted in more patients with exacerbations in OOH care. However, this might still be expected after a longer follow-up.

Prognostic factors for persistent fatigue after COVID-19: a prospective matched cohort study in primary care.

BACKGROUND: Persistent fatigue after COVID-19 is common; however, the exact incidence and prognostic factors differ between studies. Evidence suggests that age, female sex, high body mass index, and comorbidities are risk factors for long COVID. AIM: To investigate the prevalence of persistent fatigue after COVID-19 in patients with a mild infection (managed in primary care) during the first wave of the pandemic and to determine prognostic factors for persistent fatigue. DESIGN AND SETTING: This was a prospective cohort study in Dutch general practice, combining online questionnaires with data from electronic health records. METHOD: Patients who contacted their GP between March and May 2020 and were diagnosed with COVID-19 during the first wave of the pandemic were included. Patients were matched to controls without COVID-19 based on age, sex, and GP practice. Fatigue was measured at 3, 6, and 15 months, using the Checklist of Individual Strength. RESULTS: All the participants were GP attendees and included 179 with suspected COVID-19, but who had mild COVID and who had not been admitted to hospital with COVID, and 122 without suspected COVID-19. Persistent fatigue was present in 35% (49/142) of the suspected COVID-19 group and 13% (14/109) of the non-COVID-19 group (odds ratio 3.65; 95% confidence interval = 1.82 to 7.32). Prognostic factors for persistent fatigue included low education level, absence of a partner, high neuroticism (using the Eysenck Personality Questionnaire Revised-Short Form), low resilience, high frequency of GP contact, medication use, and threatening experiences in the past. The latter three factors appeared to be prognostic factors for persistent fatigue specifically after COVID-19 infection. CONCLUSION: GP patients with COVID-19 (who were not admitted to hospital with COVID) have a fourfold higher chance of developing persistent fatigue than GP patients who had not had COVID-19. This risk is even higher in psychosocially vulnerable patients who had COVID-19.

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.

Patient experiences during the COVID-19 pandemic: a qualitative study in Dutch primary care.

BACKGROUND: Changes in primary care provision during the COVID-19 pandemic could have affected patient experience of primary care both positively and negatively. AIM: To assess the experiences of patients in primary care during the COVID-19 pandemic. DESIGN & SETTING: A qualitative study of patients from regions with high and low COVID-19 prevalence in the Netherlands. METHOD: A qualitative study using a phenomenological framework was performed among purposively sampled patients. Individual semi-structured interviews were performed and transcribed. Data were thematically analysed by means of an inductive approach. RESULTS: Twenty-eight patients were interviewed (13 men and 15 women, aged 27-91 years). After thematic analysis, two main themes emerged: accessibility and continuity of primary care. Changes considered positive during the pandemic regarding accessibility and continuity of primary care included having a quieter practice, having more time for consultations, and the use of remote care for problems with low complexity. However, patients also experienced decreases in both care accessibility and continuity, such as feeling unwelcome, the GP postponing chronic care, seeing unfamiliar doctors, and care being segregated. CONCLUSION: Despite bringing several benefits, patients indicated that the changes to primary care provision during the COVID-19 pandemic could have threatened care accessibility and continuity, which are core values of primary care. These insights can guide primary care provision not only in this and future pandemics, but also when implementing permanent changes to care provision in primary care.

Sex and Gender-Related Differences in COVID-19 Diagnoses and SARS-CoV-2 Testing Practices During the First Wave of the Pandemic: The Dutch Lifelines COVID-19 Cohort Study.

Background: Although sex differences are described in Coronavirus Disease 2019 (COVID-19) diagnoses and testing, many studies neglect possible gender-related influences. Additionally, research is often performed in clinical populations, while most COVID-19 patients are not hospitalized. Therefore, we investigated associations between sex and gender-related variables, and COVID-19 diagnoses and testing practices in a large general population cohort during the first wave of the pandemic when testing capacity was limited. Methods: We used data from the Lifelines COVID-19 Cohort (N = 74,722; 60.8% female). We applied bivariate and multiple logistic regression analyses. The outcomes were a COVID-19 diagnosis (confirmed by SARS-CoV-2 PCR testing or physician's clinical diagnosis) and PCR testing. Independent variables included among others participants' sex, age, somatic comorbidities, occupation, and smoking status. Sex-by-comorbidity and sex-by-occupation interaction terms were included to investigate sex differences in associations between the presence of comorbidities or an occupation with COVID-19 diagnoses or testing practices. Results: In bivariate analyses female sex was significantly associated with COVID-19 diagnoses and testing, but significance did not persist in multiple logistic regression analyses. However, a gender-related variable, being a health care worker, was significantly associated with COVID-19 diagnoses (OR = 1.68; 95%CI = 1.30-2.17) and testing (OR = 12.5; 95%CI = 8.55-18.3). Female health care workers were less often diagnosed and tested than male health care workers (ORinteraction = 0.54; 95%CI = 0.32-0.92, ORinteraction = 0.53; 95%CI = 0.29-0.97, respectively). Conclusions: We found no sex differences in COVID-19 diagnoses and testing in the general population. Among health care workers, a male preponderance in COVID-19 diagnoses and testing was observed. This could be explained by more pronounced COVID-19 symptoms in males or by gender inequities.

Purposeful Incorporation of Patient Narratives in the Medical Record in the Netherlands.

INTRODUCTION: Structuring patient and practice data into episodes formed the foundation of the earliest evidence base of family medicine. We aim to make patients' narratives part of the evidence base for family medicine by incorporating coded and structured information on the patient's reason to visit the family physician (FP) and adding the patient's personal and contextual characteristics to routine registration data. This documentation allows studies of relations between morbidity and elements of the patient story, providing more insight into the range of problems presented to primary care and in the patient-centeredness applied by FPs. METHODS: The Dutch Practice-Based Research Network (PBRN), named FaMe-Net, is the world's oldest PBRN. Seven Dutch family practices provide regular primary care and participate in the PBRN. It contains all morbidity data of the approximately 40,000 listed patients (308,000 patient-years and 2.2 million encounters from 2005 until 2019). All information belonging to 1 health problem is ordered in 1 episode. Morbidity (diagnoses), reasons for encounter (RFE), and interventions are coded according to the International Classification of Primary Care (ICPC-2). Registration occurs within the electronic health record (EHR), specially designed to facilitate the extensive registration for the PBRN. Since 2016, the network expanded routine registration with the duration of symptoms and coded personal and contextual characteristics (eg, country of birth, level of education, family history, traumatic events) obtained through the self-reported 'context survey' of listed patients. These data are added to the EHR. Registered data are extracted from the EHR and processed for scientific research.We present data on the differences in RFEs of the most prominent symptoms of COVID-19 between 2019 and 2020; the relation between the diagnosis of pneumonia and presentation of the symptom 'cough,' and how personal determinants influence the chances of final diagnoses. Lastly, we show the relation of self-reported abuse with patient's contact frequency and psychosocial problems. RESULTS: Prompt introduction of registration rules brought insight into COVID-19-related symptoms early in the pandemic. In March 2020, symptoms related to COVID-19 were presented more often than in March 2019. Chronic conditions and prevention showed a collapsing contact frequency. Telephone, email, and video consultations increased from 31% to 53%.Episodes of pneumonia most frequently started with the RFE 'cough.' A combination of 'cough' and 'fever' as RFE increases the likelihood of pneumonia, as does cough in the presence of comorbid COPD among older men. The prevalence of pneumonia is higher among patients with low socioeconomic status. DISCUSSION: The Dutch PBRN FaMe-Net has started to add elements of patients' narratives and context to decades of morbidity registration, creating options for a scientific approach to primary care's core values. Assumptions of 'pre/post chances' of the final diagnosis, already existing implicitly in FPs minds, can be elaborated and quantified by investigating the associations between multiple registered variables, including parts of patients' 'stories.' This way, we aim to make visible what is intuitively already known by FPs.

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.

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.