Patient online access to medical records in general practice: Perceived effects after one year follow-up.

OBJECTIVE: Online access to medical records is expected to foster patient empowerment and patient-centred healthcare. However, data on actual experienced effects remain limited. We aimed to examine the development of effects patients perceive from online access. METHODS: A nationwide online survey (N = 1769) evaluated Dutch patients' use of online access and beliefs about its effects on 16 outcomes at baseline and one-year follow-up. Analyses of Variance (ANOVA) were used to examine within-person belief changes across three user groups: patients who 1) used online access before the study, 2) started use during the study, and 3) did not use it at all. RESULTS: There was a small decline in five beliefs around online access facilitating patient empowerment and participation in participants who started using online access during the study compared to at least one other user group. Most changes in beliefs did not differ between groups. CONCLUSION: No evidence of benefits from online access was found. The findings might indicate inadequacies in the current system of online access. Possibly, the benefits of online access are contingent upon portal improvements and changes in documentation practices. PRACTICE IMPLICATION: Records need to be easily accessible and comprehensible for patients. Consultation practices should enable patient participation.

From symptom onset to ED departure: understanding the acute care chain for patients with undifferentiated complaints: a prospective observational study.

BACKGROUND: For most acute conditions, the phase prior to emergency department (ED) arrival is largely unexplored. However, this prehospital phase has proven an important part of the acute care chain (ACC) for specific time-sensitive conditions, such as stroke and myocardial infarction. For patients with undifferentiated complaints, exploration of the prehospital phase of the ACC may also offer a window of opportunity for improvement of care. This study aims to explore the ACC of ED patients with undifferentiated complaints, with specific emphasis on time in ACC and patient experience. METHODS: This Dutch prospective observational study, included all adult (≥ 18 years) ED patients with undifferentiated complaints over a 4-week period. We investigated the patients' journey through the ACC, focusing on time in ACC and patient experience. Additionally, a multivariable linear regression analysis was employed to identify factors independently associated with time in ACC. RESULTS: Among the 286 ED patients with undifferentiated complaints, the median symptom duration prior to ED visit was 6 days (IQR 2-10), during which 58.6% of patients had contact with a healthcare provider before referral. General Practitioners (GPs) referred 80.4% of the patients, with the predominant patient journey (51.7%) involving GP referral followed by self-transportation to the ED. The median time in ACC was 5.5 (IQR 4.0-8.4) hours of which 40% was spent before the ED visit. GP referral and referral to pulmonology were associated with a longer time in ACC, while referral during evenings was associated with a shorter time in ACC. Patients scored both quality and duration of the provided care an 8/10. CONCLUSION: Dutch ED patients with undifferentiated complaints consulted a healthcare provider in over half of the cases before their ED visit. The median time in ACC is 5.5 h of which 40% is spent in the prehospital phase. Those referred by a GP and to pulmonology had a longer, and those in the evening a shorter time in ACC. The acute care journey starts hours before patients arrive at the ED and 6 days of complaints precede this journey. This timeframe could serve as a window of opportunity to optimise care.

Prospective diagnostic accuracy study of history taking and physical examination for adults with vertigo in general practice: study protocol.

INTRODUCTION: Vertigo is a prevalent and burdensome symptom. More than 80% of patients with vertigo are primarily treated by their general practitioner (GP) and are never referred to a medical specialist. Despite this therapeutic responsibility, the GP's diagnostic toolkit has serious limitations. All recommended tests lack empirical evidence, because a diagnostic accuracy study on vestibular disorders ('How well does test x discriminate between patients with or without target condition y?') has never been performed in general practice. The VERtigo DIagnosis study aims to fill this gap. METHODS AND ANALYSIS: We will perform a diagnostic accuracy study on vertigo of primary vestibular origin in general practice to assess the discriminative ability of history taking and physical examination. We will compare all index tests with a respective reference standard. We will focus on five target conditions that account for more than 95% of vertigo diagnoses in general practice: (1) benign paroxysmal positional vertigo, (2) vestibular neuritis, (3) Ménière's disease, (4) vestibular migraine (VM) and (5) central causes other than VM. As these five target conditions have a different pathophysiology and lack one generally accepted gold standard, we will use consensus diagnosis as a construct reference standard. Data for each patient, including history, physical examination and additional tests as recommended by experts in an international Delphi procedure, will be recorded on a standardised form and independently reviewed by a neurologist and otorhinolaryngologist. For each patient, the reviewers have to decide about the presence/absence of each target condition. We will calculate sensitivity, specificity, predictive values, likelihood ratios and diagnostic ORs, followed by decision rules for each target condition. ETHICS AND DISSEMINATION: The study obtained approval from the Vrije Universiteit Medical Center Medical Ethical Review Committee (reference: 2022.0817-NL83111.029.22). We will publish our findings in peer-reviewed international journals. TRIAL REGISTRATION NUMBER: ISRCTN97250704.

Development and validation of a risk prediction model for hospital admission in COVID-19 patients presenting to primary care.

BACKGROUND: There is a paucity of prognostic models for COVID-19 that are usable for in-office patient assessment in general practice (GP). OBJECTIVES: To develop and validate a risk prediction model for hospital admission with readily available predictors. METHODS: A retrospective cohort study linking GP records from 8 COVID-19 centres and 55 general practices in the Netherlands to hospital admission records. The development cohort spanned March to June 2020, the validation cohort March to June 2021. The primary outcome was hospital admission within 14 days. We used geographic leave-region-out cross-validation in the development cohort and temporal validation in the validation cohort. RESULTS: In the development cohort, 4,806 adult patients with COVID-19 consulted their GP (median age 56, 56% female); in the validation cohort 830 patients did (median age 56, 52% female). In the development and validation cohort respectively, 292 (6.1%) and 126 (15.2%) were admitted to the hospital within 14 days, respectively. A logistic regression model based on sex, smoking, symptoms, vital signs and comorbidities predicted hospital admission with a c-index of 0.84 (95% CI 0.83 to 0.86) at geographic cross-validation and 0.79 (95% CI 0.74 to 0.83) at temporal validation, and was reasonably well calibrated (intercept -0.08, 95% CI -0.98 to 0.52, slope 0.89, 95% CI 0.71 to 1.07 at geographic cross-validation and intercept 0.02, 95% CI -0.21 to 0.24, slope 0.82, 95% CI 0.64 to 1.00 at temporal validation). CONCLUSION: We derived a risk model using readily available variables at GP assessment to predict hospital admission for COVID-19. It performed accurately across regions and waves. Further validation on cohorts with acquired immunity and newer SARS-CoV-2 variants is recommended.

A general practice prediction model based on signs and symptoms of COVID-19 patients reliably predicted hospitalisation.The model performed well in second-wave data with other dominant variants and changed testing and vaccination policies.In an emerging pandemic, GP data can be leveraged to develop prognostic models for decision support and to predict hospitalisation rates.

Machine learning for risk stratification in the emergency department (MARS-ED) study protocol for a randomized controlled pilot trial on the implementation of a prediction model based on machine learning technology predicting 31-day mortality in the emergency department.

BACKGROUND: Many prediction models have been developed to help identify emergency department (ED) patients at high risk of poor outcome. However, these models often underperform in clinical practice and their actual clinical impact has hardly ever been evaluated. We aim to perform a clinical trial to investigate the clinical impact of a prediction model based on machine learning (ML) technology. METHODS: The study is a prospective, randomized, open-label, non-inferiority pilot clinical trial. We will investigate the clinical impact of a prediction model based on ML technology, the RISKINDEX, which has been developed to predict the risk of 31-day mortality based on the results of laboratory tests and demographic characteristics. In previous studies, the RISKINDEX was shown to outperform internal medicine specialists and to have high discriminatory performance. Adults patients (18 years or older) will be recruited in the ED. All participants will be randomly assigned to the control group or the intervention group in a 1:1 ratio. Participants in the control group will receive care as usual in which the study team asks the attending physicians questions about their clinical intuition. Participants in the intervention group will also receive care as usual, but in addition to asking the clinical impression questions, the study team presents the RISKINDEX to the attending physician in order to assess the extent to which clinical treatment is influenced by the results. DISCUSSION: This pilot clinical trial investigates the clinical impact and implementation of an ML based prediction model in the ED. By assessing the clinical impact and prognostic accuracy of the RISKINDEX, this study aims to contribute valuable insights to optimize patient care and inform future research in the field of ML based clinical prediction models. TRIAL REGISTRATION: ClinicalTrials.gov NCT05497830. Machine Learning for Risk Stratification in the Emergency Department (MARS-ED). Registered on August 11, 2022. URL: https://clinicaltrials.gov/study/NCT05497830 .

Family Physician-to-Hospital Specialist Electronic Consultation and Access to Hospital Care: A Systematic Review.

Importance: Globally, health care systems face challenges in managing health care costs while maintaining access to hospital care, quality of care, and a good work balance for caregivers. Electronic consultations (e-consultations)-defined as asynchronous, consultative communication between family physicians and hospital specialists-may offer advantages to face these challenges. Objective: To provide a quantitative synthesis of the association of e-consultation with access to hospital care and the avoidance of hospital referrals. Evidence Review: A systematic search through PubMed, MEDLINE, and Embase was conducted. Eligible studies included original research studies published from January 2010 to March 2023 in English, Dutch, or German that reported on outcomes associated with access to hospital care and the avoidance of hospital referrals. Reference lists of included articles were searched for additional studies. Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) scores were assigned to assess quality of evidence. Findings: The search strategy resulted in 583 records, of which 72 studies were eligible for data extraction after applying exclusion criteria. Most studies were observational, focused on multispecialty services, and were performed in either Canada or the US. Outcomes on access to hospital care and the avoidance of referrals indicated that e-consultation was associated with improved access to hospital care and an increase in avoided referrals to the hospital specialist, although outcomes greatly differed across studies. GRADE scores were low or very low across studies. Conclusions and Relevance: In this systematic review of the association of e-consultation with access to hospital care and the avoidance of hospital referrals, results indicated that the use of e-consultation has greatly increased over the years. Although e-consultation was associated with improved access to hospital care and avoidance of hospital referrals, it was hard to draw a conclusion about these outcomes due to heterogeneity and lack of high-quality evidence (eg, from randomized clinical trials). Nevertheless, these results suggest that e-consultation seems to be a promising digital health care implementation, but more rigorous studies are needed; nonrandomized trial designs should be used, and appropriate outcomes should be chosen in future research on this topic.

Head-to-head comparison of 19 prediction models for short-term outcome in medical patients in the emergency department: a retrospective study.

INTRODUCTION: Prediction models for identifying emergency department (ED) patients at high risk of poor outcome are often not externally validated. We aimed to perform a head-to-head comparison of the discriminatory performance of several prediction models in a large cohort of ED patients. METHODS: In this retrospective study, we selected prediction models that aim to predict poor outcome and we included adult medical ED patients. Primary outcome was 31-day mortality, secondary outcomes were 1-day mortality, 7-day mortality, and a composite endpoint of 31-day mortality and admission to intensive care unit (ICU).The discriminatory performance of the prediction models was assessed using an area under the receiver operating characteristic curve (AUC). Finally, the prediction models with the highest performance to predict 31-day mortality were selected to further examine calibration and appropriate clinical cut-off points. RESULTS: We included 19 prediction models and applied these to 2185 ED patients. Thirty-one-day mortality was 10.6% (231 patients), 1-day mortality was 1.4%, 7-day mortality was 4.4%, and 331 patients (15.1%) met the composite endpoint. The RISE UP and COPE score showed similar and very good discriminatory performance for 31-day mortality (AUC 0.86), 1-day mortality (AUC 0.87), 7-day mortality (AUC 0.86) and for the composite endpoint (AUC 0.81). Both scores were well calibrated. Almost no patients with RISE UP and COPE scores below 5% had an adverse outcome, while those with scores above 20% were at high risk of adverse outcome. Some of the other prediction models (i.e. APACHE II, NEWS, WPSS, MEWS, EWS and SOFA) showed significantly higher discriminatory performance for 1-day and 7-day mortality than for 31-day mortality. CONCLUSIONS: Head-to-head validation of 19 prediction models in medical ED patients showed that the RISE UP and COPE score outperformed other models regarding 31-day mortality.

[Digital consultation between the general practitioner and medical specialist]. / Digitaal overleg tussen huisarts en specialist.

Digital interdisciplinary consultation is an asynchronous form of consultation in which the general practitioner (GP) can consult a medical specialist. We provide an overview of the various platforms available in the Netherlands and we performed a literature review on the effect on referrals, patient satisfaction and satisfaction of the GP and medical specialist. Until October 2022, we traced nine different platforms that enable digital interdisciplinary consultation between the GP and medical specialist in the Netherlands. We identified nine randomized controlled trials (RCTs) and three systematic reviews until the COVID-19 period. The RCTs did not show a significant effect on our outcome measures. Observational studies on the other hand show a reduction of referrals by the use of digital interdisciplinary and have high satisfaction rates among GPs, medical specialists and patients because it is perceived as efficient and it improves access to specialized care for the patient.

The Effects of Online Access to General Practice Medical Records Perceived by Patients: Longitudinal Survey Study.

BACKGROUND: Patient online access to medical records is assumed to facilitate patient empowerment and advance patient-centered health care. However, to date, the actual effects of online access to medical records perceived by patients and other outcomes are insufficiently empirically tested. OBJECTIVE: This study aimed to investigate the effects of online access to medical records on patient empowerment, informed decision-making, and the patient-provider relationship perceived by patients. METHODS: A nationwide, 2-wave, longitudinal survey study was conducted among Dutch adults (N=2402). Linear regression analyses were performed. In model 1, the perceived effects of online access to medical records (measured at T1 [first measurement; July 2021]) on 16 outcomes (measured at T2 [second measurement; January 2022]), which were associated with the use of online access to general practice medical records in previous research, were investigated. Model 2 included sociodemographic factors and patient characteristics as confounders. RESULTS: Users indicated more strongly than nonusers that online access to medical records would increase their participation in health care, improve the relationship with their general practitioner, and support informed decision-making. These results were robust when adjusted for the influence of confounders. Effect sizes were very small, with unstandardized regression coefficients (B) ranging between -0.39 and 0.28. Higher digital and health literacy were associated with higher ratings of almost all effects. CONCLUSIONS: Online access to medical records has the potential to empower patients and foster informed decision-making among patients. The effects in this study were small but might grow over time. Other factors, such as the attitude of general practitioners toward online access to medical records, might moderate these effects. The results indicate that the potential benefits of online access to medical records might be unevenly distributed. We suggest future exploration of the conditions under which online access to medical records can improve health care system functioning and efficiency without increasing health inequality.

[Laboratory testing for anemia in primary care: reflex testing, reflecting and algorithms?] / Anemiediagnostiek in de eerste lijn.

This commentary discusses the prevalence and causes of anemia in primary care in the Netherlands and the role of laboratory diagnostics in determining the cause of anemia. There are indications that guidelines in primary care regarding anemia are insufficiently followed; there are also indications that the correct laboratory measurements are requested too limited (under-diagnosis). A possible solution lies in the introduction of reflective testing, in which the laboratory specialist has additional diagnostic laboratory tests performed on the basis of the laboratory results and specific characteristics of the patient. Reflective testing is in contrast to reflex testing; in reflex testing, laboratory measurements are added automatically using a simple flowchart. In the future, Artificial Intelligence solutions could play a role in determining the most optimal laboratory diagnostic strategy for the diagnosis of anemia in primary care.

General Practitioner Use of e-Consultation to Consult Hospital Specialists: Interview Study to Obtain Physician's Perceptions About Digital Interprofessional Communication.

BACKGROUND: In recent years, tasks have shifted from specialized hospital care to primary care, leading to both advantages and challenges for general practitioners (GPs). A frequently mentioned tool to face these challenges is e-consultation, a form of asynchronous digital interprofessional communication between GPs and hospital specialists. OBJECTIVE: The objective of this study was to gain insight into GPs' and hospital specialists' views and experiences of e-consultation. METHODS: We interviewed 47% (15/32) GPs and 53% (17/32) hospital specialists and performed a thematic analysis. RESULTS: We found that both GPs and hospital specialists experience a positive effect on the quality of care and collaboration between GPs and hospital specialists. Positive effects were reported on the accessibility of care, efficiency of care, and relationship between the GP and the patient. Furthermore, communication between GP and hospital specialist became more efficient, and e-consultation offered educational value for the GP. Certain improvements are needed to further optimize e-consultation, regarding applicability, communication, and training purposes. CONCLUSIONS: In the future, clinicians and policy makers can use the insights gained from this study to further optimize and implement e-consultation in clinical practice.

Patients' Experiences, Expectations, Motivations, and Perspectives around Urinary Tract Infection Care in General Practice: A Qualitative Interview Study.

While there are many alternatives to antibiotics for the symptomatic treatment of urinary tract infections (UTIs), their application in practice is limited. Among other things, general practitioners (GPs) often feel pressure from patients to prescribe antibiotics. To gain a better understanding of why this happens and where this pressure originates from, we investigated experiences, expectations, motivations, and perspectives of patients with UTIs in general practice. During this qualitative study we performed 14 semi-structured online interviews among female UTI patients in general practice. Interviews were based on a topic list derived from sensitising concepts. All the interviews were recorded, transcribed, and analysed using a constant comparative technique. Three main categories emerged from the data; (1) experienced versus unexperienced patients with UTI, (2) patient's lack of knowledge, and (3) patients feeling understood. Inexperienced patients consult a general practitioner for both diagnosis and symptom relief, while experienced patients seem to consult specifically to obtain antibiotics. In addition, patients have a lack of knowledge with regard to the diagnosis, treatment, self-care, and cause of UTIs. Finally, patients' satisfaction is increased by involving them more in the process of decision making, so they feel understood and taken seriously. Patients' expectations in UTI management in general practice often arise during their first experience(s) and play a major role in subsequent episodes. In conclusion, preventing misconceptions is especially important in the inexperienced patient group, as this may prevent future overtreatment of UTIs. In addition, involving patients in the decision making process will lead to greater understanding of the GP's treatment choices.

Patient online access to general practice medical records: A qualitative study on patients' needs and expectations.

BACKGROUND: Patient online access to medical records is assumed to foster patient empowerment and advance patient-centred healthcare. Since July 2020, patients in the Netherlands have been legally entitled to electronically access their medical record in general practice. Experience from pioneering countries has shown that despite high patient interest, user rates often remain low. How to best support implementation depends on individual needs and expectations of patient populations, which are as yet unknown in the Dutch context. OBJECTIVE: To understand Dutch patients' needs and expectations with regard to online access to their medical record in general practice. METHOD: Twenty participants completed semi-structured individual interviews via video or telephone call. Transcripts of interviews underwent template analysis combining deductive and inductive coding using Atlas.ti software. RESULTS: Patients' needs and expectations ranged across three overlapping areas: (i) prerequisites for getting online access; (ii) using online access; and (iii) the impact on interaction with healthcare providers. Patients expected benefits from online access such as better overview, empowerment and improved communication with their general practitioner but identified needs regarding technological difficulties, data privacy and complex medical language in their record. CONCLUSION: The concerns and obstacles participants identified point towards the need for organisational changes in general practice, for example, adjusted documentation practices, and the key role of the general practitioner and staff in promoting and facilitating online access. IMPLICATIONS: Implementation strategies addressing needs identified in this study may help to unlock the full potential of online access to achieve desired outcomes of patient involvement and satisfaction.

Minor traumatic injuries in the emergency department pre- and post-implementation of an emergency care access point.

OBJECTIVE: In the Netherlands, out-of-hours General Practice Cooperatives (GPCs) increasingly collaborate with Emergency Departments (EDs) to form an Emergency Care Access Point (ECAP). ECAPs aim to decrease the number of low-urgent ED attendances, of which many compromise minor traumatic injuries. In this study, we evaluated the impact of ECAP implementation on the incidence of minor traumatic injuries in the ED. METHODS: We evaluated a total of 2772 ED patients who presented with a minor traumatic injury (categorized into traumatic wounds and isolated extremity injuries) 1 year before and 1 year after ECAP implementation. We compared patient characteristics, throughput, diagnosis, treatment and follow-up before and after ECAP implementation. RESULTS: ECAP implementation was associated with a reduction in ED volume for minor traumatic injuries: -12.4% for isolated extremity injuries (1249 vs. 1094) and -74.6% for traumatic wounds (342 vs. 87). Multivariable logistic regression analysis controlling for patient characteristics showed that ECAP implementation was associated with higher rates of substantial injuries in the ED (OR 1.20, 95% CI = 1.01-1.43), and more patients requiring outpatient follow-up. CONCLUSION: Implementation of an ECAP was associated with a reduction of ED utilization by patients with minor traumatic injuries, traumatic wounds in particular. This healthcare intervention may therefore help to reduce ED utilization for low-urgent complaints.

Trends in antibiotic prescribing in Dutch general practice and determinants of nonprudent antibiotic prescriptions.

BACKGROUND: Antibiotic resistance is mainly driven by (incorrect) use of antibiotics. Most antibiotics are prescribed in family medicine. Therefore, regularly monitoring of antibiotic prescriptions and evaluation of their (non-) prudent use in primary care is warranted. OBJECTIVES: The aim of this study was to determine time trends in antibiotic prescriptions by Dutch family physicians (FPs) and to identify determinants of nonprudent antibiotic prescriptions by Dutch FPs. METHODS: Retrospective study among 27 Dutch general practices from the Research Network Family Medicine Maastricht, from 2015 to 2019. RESULTS: In total 801,767 patient years were analysed. Antibiotic prescriptions mainly increased in patients aged 65+ while prescriptions mainly decreased in patients below 65 years. Nonprudent antibiotic prescriptions decreased from 2015 to 2019 with the highest percentage of decline found in skin infections (66.9% [2015] to 53.9% [2019]). Overall, higher likelihood of nonprudent antibiotic prescriptions was found among men (odds ratio [OR] 4.11, 95% confidence interval [CI]: 3.91-4.33), patients aged 80+ (OR 1.44, 95% CI: 1.03-2.01; reference category ≤17 years), patients with comedication (OR 1.24, 95% CI: 1.17-1.31), and patients in urban general practices (OR 1.47, 95% CI: 1.38-1.56). CONCLUSIONS: Antibiotic prescriptions increased over time in the elderly aged categories. Although an overall decrease in nonprudent antibiotic prescriptions was established from 2015 to 2019, percentages of nonprudent prescriptions remained high for skin infections and respiratory tract infections. Additionally, men, elderly aged patients (80+), patients with comedication and patients in urban general practices were more likely to receive nonprudent antibiotic prescriptions. Our results will help FPs to prioritize optimalization of antibiotic prescriptions in family medicine.

Physician-Targeted Interventions in Antibiotic Prescribing for Urinary Tract Infections in General Practice: A Systematic Review.

Urinary tract infections (UTIs) are the most common reason for women to consult a general practitioner (GP). While UTIs are self-limiting in half of cases, most women are prescribed antibiotics, often in discordance with established guidelines. Researchers have employed different interventions to improve GPs' prescribing behavior, especially for respiratory infections, but it is uncertain whether these are effective for UTI care. Therefore, we performed a systematic review, including (cluster) randomized clinical trials investigating the effect of interventions targeted at GPs to improve antibiotic prescriptions for UTI. From September to December 2021 we searched the Medline, Web of Science, and CENTRAL databases, ultimately including ten studies describing eleven trials. We determined the effect of the interventions on the decision to prescribe and on the choice of antibiotic. Results showed that most studies employed multifaceted interventions, most frequently including audit & feedback and/or educational meetings. Seven out of nine trials that recorded first-choice prescriptions saw an increased proportion of first-choice antibiotics in the intervention groups compared to control groups. The employed interventions also caused a decreased proportion of at least one broad-spectrum antibiotic in five out of six studies that measured broad-spectrum antibiotic prescriptions. However, the total number of antibiotic prescriptions for UTIs increased in four out of eight studies. Therefore, while effective at influencing GPs' prescribing behavior, future interventions should also focus on improving the decision to prescribe at all.

Prevalence, pathophysiology, prediction and health-related quality of life of long COVID: study protocol of the longitudinal multiple cohort CORona Follow Up (CORFU) study.

INTRODUCTION: The variety, time patterns and long-term prognosis of persistent COVID-19 symptoms (long COVID-19) in patients who suffered from mild to severe acute COVID-19 are incompletely understood. Cohort studies will be combined to describe the prevalence of long COVID-19 symptoms, and to explore the pathophysiological mechanisms and impact on health-related quality of life. A prediction model for long COVID-19 will be developed and internally validated to guide care in future patients. METHODS AND ANALYSIS: Data from seven COVID-19 cohorts will be aggregated in the longitudinal multiple cohort CORona Follow Up (CORFU) study. CORFU includes Dutch patients who suffered from COVID-19 at home, were hospitalised without or with intensive care unit treatment, needed inpatient or outpatient rehabilitation and controls who did not suffer from COVID-19. Individual cohort study designs were aligned and follow-up has been synchronised. Cohort participants will be followed up for a maximum of 24 months after acute infection. Next to the clinical characteristics measured in individual cohorts, the CORFU questionnaire on long COVID-19 outcomes and determinants will be administered digitally at 3, 6, 12, 18 and 24 months after the infection. The primary outcome is the prevalence of long COVID-19 symptoms up to 2 years after acute infection. Secondary outcomes are health-related quality of life (eg, EQ-5D), physical functioning, and the prevalence of thromboembolic complications, respiratory complications, cardiovascular diseases and endothelial dysfunction. A prediction model and a patient platform prototype will be developed. ETHICS AND DISSEMINATION: Approval was obtained from the medical research ethics committee of Maastricht University Medical Center+ and Maastricht University (METC 2021-2990) and local committees of the participating cohorts. The project is supported by ZonMW and EuroQol Research Foundation. Results will be published in open access peer-reviewed scientific journals and presented at (inter)national conferences. TRIAL REGISTRATION NUMBER: NCT05240742.

Primary Care as Primary Target: A Review of Terrorist Attacks Against Primary Care Providers and Their Offices.

BACKGROUND: Violence against primary care providers (PCPs) has increased during the current pandemic. While some of these violent acts are not defined as terrorist events, they are intentional events with an aim to disrupt, kill, or injure. Despite their pivotal role in health care, little is known about the risk for PCPs as targets of terrorism. METHODS: Data collection was performed using a retrospective database search through the Global Terrorism Database (GTD). The GTD was searched using the internal database search functions for all terrorist attacks against PCPs and their offices from January 1, 1970 - December 31, 2019. Years 2020 and 2021 were not yet available at the time of the study. Primary attack and weapon type, location (country, world region), and number of deaths and injuries were collated. Results were exported into an Excel spreadsheet (Microsoft Corp.; Redmond, Washington USA) for analysis. RESULTS: There were 29 terrorist attacks against PCPs and their offices from 1970-2019. The majority of attacks occurred during or after 2010. There were 58 fatalities, 52 injured, and 13 hostages. Most documented attacks took place in Pakistan, the United States, and Sri Lanka. Bombings concerned 55% of cases and 21% were hostage-takings. CONCLUSION: Although less common than attacks on other health care related targets, terrorist attacks against PCPs have occurred. The majority of attacks occurred during the last decade. Future studies are warranted to further assess the risk of terrorist attacks against PCPs: before, during, and beyond the current pandemic.

Cross-sectional internet survey exploring women's knowledge, attitudes and practice regarding urinary tract infection-related symptoms in the Netherlands.

OBJECTIVES: Urinary tract infections (UTIs) are the most prevalent cause for women to consult a general practitioner (GP) and are commonly treated with (broad-spectrum) empirical antibiotics, even though 50% of UTIs are self-limiting. In this study, we aim to explore women's attitudes and experiences regarding UTIs, in order to determine patients' willingness to accept delayed antibiotic prescriptions. DESIGN: An internet-based cross-sectional survey SETTING: We recruited participants during 2 weeks of March and April in 2020 through several social media platforms. PARTICIPANTS: We obtained 1476 responses, of which 975 were eligible for analysis. RESULTS: We asked women about their knowledge, attitudes and practice regarding UTI-related symptoms. Participants ranked 'confirmation of diagnosis' (43.8%) as the most important reason to consult a GP with urinary symptoms, followed by 'pain relief' (32%), and 'antibiotic prescription' (14.3%). For treatment, 71% of participants reported that their GP prescribed immediate antibiotics, while only 3% received a delayed antibiotic prescription and 1% was advised pain medication. Furthermore, 50% of respondents were aware of the possible self-limiting course of UTIs and 70% would be willing to accept delayed antibiotic treatment, even if a certain diagnosis of UTI was established. Willingness to delay was lower in experienced patients compared to inexperienced patients. CONCLUSIONS: Women are quite receptive to delayed antibiotics as an alternative to immediate antibiotics for UTIs or urinary symptoms. GPs should consider discussing delayed antibiotic treatment more often with women presenting with urinary symptoms.