Children and young people's consultation rates for psychosocial problems between 2016 and 2021 in the Netherlands.

BACKGROUND: Worldwide, there are concerns about declining mental health of children and young people (CYP). OBJECTIVES: To examine trends in GP consultation rates for psychosocial problems and the impact of the COVID-19 pandemic. METHODS: We performed a population-based cohort study using electronic GP records of CYP (0-24 years) living in the Rotterdam metropolitan area between 2016 and 2021. We calculated monthly consultation rates for psychosocial problems, stratified by age group and sex. We used negative binomial models to model the pre-COVID-19 trend, and estimate expected rates post-COVID-19 onset. We modelled the effect of COVID-19 infection rate and school closure on consultation rates per sex and age group. RESULTS: The cohort increased from 64801 to 92093 CYP between January 2016 and December 2021. Median age was 12.5 years and 49.3% was female. Monthly consultation rates increased from 2,443 to 4,542 consultations per 100,000 patient months over the six years. This trend (RR 1.009, 95%CI 1.008-1.011) started well before the COVID-19 pandemic. Consultation rates of adolescent girls and young women increased most strongly. Between March and May 2020, there was a temporary reduction in consultation rates, whereupon these returned to expected levels. COVID-19 infection rate and school closures showed small but significant associations with consultation rates for psychosocial problems but this did not affect the overall trend. Although consultation rates for psychosocial problems increased, this increment was stable over the entire study period. CONCLUSION: The COVID-19 pandemic did not significantly increase consultation rates for psychosocial problems in CYP. The consultation rates increased, especially in adolescent girls and young women.

CYP' consultation rates for psychosocial problems within general practice almost doubled between 2016 and 2021 in the Rotterdam metropolitan area, the Netherlands.This increase was steady over time and was not affected by the COVID-19 pandemic.Consultation rates in general practice for psychosocial problems increased most strongly in adolescent girls and young women.

Healthcare avoidance during the early stages of the COVID-19 pandemic and all-cause mortality: a longitudinal community-based study.

Background During the COVID-19 pandemic, global trends of reduced healthcare-seeking behaviour were observed. This raises concerns about the consequences of healthcare avoidance for population health. Aim To determine the association between healthcare avoidance during the early stages of the COVID-19 pandemic and all-cause mortality. Design and setting 32-month follow-up within the population-based Rotterdam Study, after sending a COVID-19 questionnaire at the onset of the pandemic in April 2020 to all non-institutionalised participants (response rate 73%). Method Cox proportional hazards models assessed the risk of all-cause mortality among respondents who avoided healthcare because of the COVID-19 pandemic. Mortality status was collected through municipality registries and medical records. Results Of 5656 respondents, one-fifth avoided healthcare due to the COVID-19 pandemic (N=1143). Compared to non-avoiders, those who avoided healthcare more often reported symptoms of depression (31.2% versus 12.3%) and anxiety (29.7% versus 12.2%), and more often valued their health as poor to fair (29.4% versus 10.1%). Healthcare avoiders had an increased adjusted risk of all-cause mortality (HR: 1.30; 95%CI 1.01-1.67), which remained nearly identical after adjustment for history of any non-communicable disease (1.20;0.93-1.54). However, this association attenuated after additional adjustment for mental and self-appreciated health factors (0.96;0.74-1.24). Conclusion We found an increased risk of all-cause mortality among individuals who avoided healthcare during COVID-19. These individuals were characterised by poor mental and physical self-appreciated health. Therefore, interventions should be targeted to these vulnerable individuals to safeguard their access to primary and specialist care in order to limit health disparities, inside and beyond healthcare crises.

Incidence of hand and wrist disorders in primary care.

BACKGROUND: The incidence of different types of hand and wrist disorders in primary care is unknown since there are no specific encodings for it. AIMS: To determine the overall incidence and the incidence of specific types of hand and wrist disorders in primary care. DESIGN & SETTING: A healthcare registration database from Dutch general practice, which contains medical records of over 200 000 patients and included approximately 25% of the population of the area of Rotterdam. METHOD: Patients aged ≥18 years with a new diagnosis of hand or wrist disorder from 1 January 2015 to 31 December 2019 were extracted using a search algorithm based on ICPC coding and search terms in free text. RESULTS: The mean incidence over the study period of a hand disorder was 5.9 per 1,000 persons-years and of a wrist disorder 0.3 per 1,000 persons-years. The incidence of trigger finger/thumb, fracture hand/finger, tendon/ligament tendinopathy, mallet finger and ligament injury hand/finger were 3 (2.69-3.15), 1 (1.03-1.33), 1 (0.98-1.28), 0.6 (0.48-0.69) and 0.1 (0.06-0.14) per 1,000 persons-years, respectively. The incidence of a wrist fracture and ligament injury were 0.2 (0.13-0.25) and 0.1 (0.04-0.12) per 1,000 persons-years, respectively. CONCLUSIONS: There is a large difference between the number of patients presenting to the GP with hand and wrist complaints and the number of hand and wrist diagnosis reported in the medical files. Introducing specific ICPC codes for different types of hand and wrist disorders could (potentially) lead to a more accurate registration of a diagnosis and determination of the incidence figures.

The prevalence, incidence and management of low back pain with radiating leg pain in Dutch general practice: A population-based cohort study in the Rijnmond Primary Care Database.

BACKGROUND: Radiating leg pain is common in patients with low back pain (LBP). In this study, we aimed to determine the prevalence and incidence of LBP with radiating leg pain in Dutch general practice, and to describe the prescribed medications and requested imaging diagnostics. METHODS: The Rijnmond Primary Care Database containing over 500,000 primary care patients was used to select patients ≥18 years with LBP with radiating leg pain between 2013 and 2021. Data on patient characteristics, LBP episodes, prescribed medication and requested imaging in the first 3 months of an episode was extracted. Descriptive statistics were used to present patient characteristics and diagnostic/therapeutic interventions. RESULTS: A total of 27,695 patients were included. The total number of LBP with radiating leg pain episodes in these patients was 36,268. In 2021, the incidence and prevalence were 19.1 and 25.7 per 1000 patient years, respectively. In 60% of patients, the episode duration was shorter than 1 month. In 62% of the episodes, patients visited the general practitioner (GP) one to two times. In 59% of the episodes, at least one medication was prescribed, non-steroidal anti-inflammatory drugs (NSAIDs) being the most common one (45%). In approximately 11% of the episodes, additional diagnostic imaging was requested. CONCLUSION: LBP with radiating leg pain is common in Dutch general practice patients. About 2/3rd were prescribed pain medications. Dutch request few to none diagnostic imaging for these patients which is in line with clinical practice guidelines. SIGNIFICANCE: In this new study, we have gained insights into the incidence and prevalence of LBP with radiating leg pain in Dutch general practice. Both remained fairly stable over the study period of 9 years (2013-2021). Overall, the care burden regarding seeking contact with the GPs and the requested diagnostics seem not to be that high. In 62% of the care episodes, there were one or two consultations with the GP, and in 11% of the episodes a diagnostic imaging was requested. Pain medications frequently prescribed (i.e. 2/3rd of the episodes), with NSAIDs being the most common ones.

Evaluation of practice nurses' management of paediatric psychosocial problems in general practice.

BACKGROUND: Child mental health services are under major pressure worldwide. In the Netherlands, Youth Mental Health Practice Nurses (YMHPNs) have been introduced in general practice to improve access to care. In this study, we evaluated care delivered by YMHPNs. METHODS: We used medical records of a population-based cohort (21 717 children, 0-17 years). Characteristics of children consulting a YMHPN, type of problem, care delivered by YMHPNs and referrals were assessed using quantitative content analysis. RESULTS: Records of 375 children (mean age 12.9 years, 59.2% girl) were analysed. These children were often in their adolescence (57.3% was between 13 and 17 years), and more often female than male (59.2% vs 40.8%). YMHPNs had a median of four consultations (IQR 2-7) with the child. YMHPNs managed a variety of psychosocial problems. YMHPNs managed 22.4% of children without need of referral, 52.0% were eventually referred for additional care. 13.3% of children dropped out during the treatment trajectory. In the remaining 12.3% of children, the treatment trajectory was stopped because the child was already attending specialized services, the treatment trajectory was still ongoing or the medical record was inconclusive. CONCLUSIONS: YMHPNs successfully managed one in four children with psychosocial problems without need for referral. Nevertheless, most children were eventually referred for additional care.

Blood pressure measurements for diagnosing hypertension in primary care: room for improvement.

BACKGROUND: In the adult population, about 50% have hypertension, a risk factor for cardiovascular disease and subsequent premature death. Little is known about the quality of the methods used to diagnose hypertension in primary care. OBJECTIVES: The objective was to assess the frequency of use of recognized methods to establish a diagnosis of hypertension, and specifically for OBPM, whether three distinct measurements were taken, and how correctly the blood pressure levels were interpreted. METHODS: A retrospective population-based cohort study using electronic medical records of patients aged between 40 and 70 years, who visited their general practitioner (GP) with a new-onset of hypertension in the years 2012, 2016, 2019, and 2020. A visual chart review of the electronic medical records was used to assess the methods employed to diagnose hypertension in a random sample of 500 patients. The blood pressure measurement method was considered complete if three or more valid office blood pressure measurements (OBPM) were performed, or home-based blood pressure measurements (HBPM), the office- based 30-minute method (OBP30), or 24-hour ambulatory blood pressure measurements (24 H-ABPM) were used. RESULTS: In all study years, OBPM was the most frequently used method to diagnose new-onset hypertension in patients. The OBP-30 method was used in 0.4% (2012), 4.2% (2016), 10.6% (2019), and 9.8% (2020) of patients respectively, 24 H-ABPM in 16.0%, 22.2%, 17.2%, and 19.0% of patients and HBPM measurements in 5.4%, 8.4%, 7.6%, and 7.8% of patients, respectively. A diagnosis of hypertension based on only one or two office measurements occurred in 85.2% (2012), 87.9% (2016), 94.4% (2019), and 96.8% (2020) of all patients with OBPM. In cases of incomplete measurement and incorrect interpretation, medication was still started in 64% of cases in 2012, 56% (2016), 60% (2019), and 73% (2020). CONCLUSION: OBPM is still the most often used method to diagnose hypertension in primary care. The diagnosis was often incomplete or misinterpreted using incorrect cut-off levels. A small improvement occurred between 2012 and 2016 but no further progress was seen in 2019 or 2020. If hypertension is inappropriately diagnosed, it may result in under treatment or in prolonged, unnecessary treatment of patients. There is room for improvement in the general practice setting.

Air pollution and childhood respiratory consultations in primary care: a systematic review.

BACKGROUND: Outdoor air pollution is a known risk factor for respiratory morbidity worldwide. Compared with the adult population, there are fewer studies that analyse the association between short-term exposure to air pollution and respiratory morbidity in children in primary care. OBJECTIVE: To evaluate whether children in a primary care setting exposed to outdoor air pollutants during short-term intervals are at increased risk of respiratory diagnoses. METHODS: A search in Medline, the Cochrane Library, Web of Science and Embase databases throughout March 2023. Percentage change or risk ratios with corresponding 95% CI for the association between air pollutants and respiratory diseases were retrieved from individual studies. Risk of bias assessment was conducted with the Newcastle-Ottawa Scale (NOS) for cohort or case-control studies and an adjusted NOS for time series studies. RESULTS: From 1366 studies, 14 were identified as meeting the inclusion criteria. Most studies had intermediate or high quality. A meta-analysis was not conducted due to heterogeneity in exposure and health outcome. Overall, studies on short-term exposure to air pollutants (carbon monoxide (CO), sulfur dioxide (SO2), nitrogen dioxide (NO2) and particulate matter ≤10 µm (PM10)) were associated with increased childhood respiratory consultations in primary care. In general, exposure to ozone was associated with a reduction in respiratory consultations. CONCLUSIONS: The evidence suggests CO, SO2, NO2, PM10 and PM2.5 are risk factors for respiratory diseases in children in primary care in the short term. However, given the heterogeneity of the studies, interpretation of these findings must be done with caution. PROSPERO REGISTRATION NUMBER: CRD42022259279.

Incidence and management of mallet finger in Dutch primary care: a cohort study.

BACKGROUND: A mallet finger (MF) is diagnosed clinically and can be managed in primary care. The actual incidence of MF and how it is managed in primary care is unknown. AIM: To determine the incidence of MF in primary care and to obtain estimates for the proportions of osseous and tendon MF. An additional aim was to gain insight into the management of patients diagnosed with MF in primary care. DESIGN & SETTING: A cohort study using a healthcare registration database from general practice in the Netherlands. METHOD: Patients aged ≥18 years with a new diagnosis of MF from 1 January 2015-31 December 2019 were selected using a search algorithm based on International Classification of Primary Care (ICPC) coding. RESULTS: In total, 161 cases of MF were identified. The mean incidence was 0.58 per 1000 person-years. A radiograph was taken in 58% (n = 93) of cases; 23% (n = 37) of cases had an osseous MF. The most applied strategies were referral to secondary care (45%) or conservative treatment in GP practice (43%). Overall, 7% were referred to a paramedical professional. CONCLUSION: On average, a Dutch GP assesses ≥1 patient with MF per year. Since only a minimal number of patients required surgical treatment and a limited number of GPs requested radiography, the recommendation in the guidelines to perform radiography in all patients with MF should potentially be reconsidered. The purpose of requesting radiographs should not be to distinguish between a tendinogenic or osseous MF, but to assess whether there is a possible indication for surgery.

Dutch GP healthcare consumption in COVID-19 heterogeneous regions: an interregional time-series approach in 2020-2021.

BACKGROUND: Many countries observed a sharp decline in the use of general practice services after the outbreak of the COVID-19 pandemic. However, research has not yet considered how changes in healthcare consumption varied among regions with the same restrictive measures but different COVID-19 prevalence. AIM: To investigate how the COVID-19 pandemic affected healthcare consumption in Dutch general practice during 2020 and 2021, among regions with known heterogeneity in COVID-19 prevalence, from a pre-pandemic baseline in 2019. DESIGN & SETTING: Population-based cohort study using electronic health records. The study was undertaken in Dutch general practices involved in regional research networks. METHOD: An interrupted time-series analysis of changes in healthcare consumption from before to during the pandemic was performed. Descriptive statistics were used on the number of potential COVID-19-related contacts, reason for contact, and type of contact. RESULTS: The study covered 3 595 802 contacts (425 639 patients), 3 506 637 contacts (433 340 patients), and 4 105 413 contacts (434 872 patients) in 2019, 2020, and 2021, respectively. Time-series analysis revealed a significant decrease in healthcare consumption after the outbreak of the pandemic. Despite interregional heterogeneity in COVID-19 prevalence, healthcare consumption decreased comparably over time in the three regions, before rebounding to a level significantly higher than baseline in 2021. Physical consultations transitioned to phone or digital over time. CONCLUSION: Healthcare consumption decreased irrespective of the regional prevalence of COVID-19 from the start of the pandemic, with the Delta variant triggering a further decrease. Overall, changes in care consumption appeared to reflect contextual factors and societal restrictions rather than infection rates.

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.

Patellofemoral pain in general practice: the incidence and management.

BACKGROUND: Patellofemoral pain (PFP) is a nontraumatic knee problem primarily observed in physically active adolescents. The objective of this study was to determine the incidence and management of PFP in children and adolescents in general practice. METHODS: A retrospective cohort study was conducted using a regional primary care database containing full electronic health records of over 300,000 patients. Patients with a new PFP diagnosis between the years 2013 and 2019 were extracted using a search algorithm based on International Classification of Primary Health Care coding and search terms in free text. Data on the management of PFP were manually checked and analysed. In addition, a sub-analysis for chronic and nonchronic PFP patients was performed. RESULTS: The mean incidence of PFP over the study period was 3.4 (95% CI 3.2-3.6) per 1,000 person years in the age group of 7-24 years. Girls had a higher incidence rate (4.6 [95% CI 4.3-5.0]) compared to boys (2.3 [95% CI 2.1-2.5]). Peak incidence was at age 13 years for both sexes. The most commonly applied management strategy was advice (55.1%), followed by referral to physiotherapy (28.2%), analgesics prescription (10.4%), and referral to the orthopaedic surgeon (8.9%). No differences were found in age, sex, and treatment between chronic and nonchronic PFP patients. CONCLUSIONS: The average Dutch general practitioner sees approximately 1.4 new child or adolescent with PFP per year. Overall management strategies were in concordance with current Dutch general practice guideline on nontraumatic knee problems. More insight should be gained in the population with chronic complaints.

Patient perspectives on telemedicine during the COVID-19 pandemic: a mixed-methods community-based study.

BACKGROUND: Detailed community-based perspectives on patient experiences with telemedicine are currently lacking, yet essential to assess clinical applicability of telemedicine during and beyond pandemics, alike COVID-19. The aim of this study was to expose patient perspectives on virtual compared to in-person consultations, including determinants of these preferences. METHODS: We invited 5864 participants of the population-based Rotterdam Study to fill in a validated questionnaire using both close-ended and free-text questions. The questionnaire was sent on 30 July 2020, following a period of lockdowns and closures of non-essential workplaces. It assessed preferences for physician contact, healthcare utilisation, socioeconomic factors, and overall health. Those who experienced at least one virtual consultation (telephone or video call) between March 2020 and the beginning of July 2020 were asked whether those consultations were more, equally or less pleasant than in-person consultations, and to detail their experiences through free-text comments. These narrative data were examined using thematic analysis. RESULTS: 4514 participants completed the questionnaire (response rate 77.0%, 58.7% women, mean age 70.8 ± 10.5 years). 1103 participants (24.4%) reported having had experience with virtual consultations. Half of these participants considered virtual consultations less pleasant than in-person consultations (N = 556; 50.4%), while 11.5% found it more pleasant. In total, we coded free-text comments of 752 participants. Prominent themes behind patient preferences for virtual or in-person consultations were lack of nonverbal communication, lack of physical examination, consultation scheduling, personal circumstances, and the presence of somatic and/or language barriers. CONCLUSIONS: Based on the experiences of a large elderly patient population, we showed that preference for virtual or in-person consultations is dependent on personal and situational variety, and their interplay. Healthcare providers should consider patients' complex care needs and evaluate the potential added value of nonverbal communication and physical examination before scheduling a virtual consultation.

Comorbidity in incident osteoarthritis cases and matched controls using electronic health record data.

BACKGROUND: Comorbidities are common in patients with osteoarthritis (OA). This study aimed to determine the association of a wide range of previously diagnosed comorbidities in adults with newly diagnosed OA compared with matched controls without OA. METHODS: A case-control study was conducted. The data were derived from an electronic health record database that contains the medical records of patients from general practices throughout the Netherlands. Incident OA cases were defined as patients with one or more diagnostic codes recorded in their medical records that correspond to knee, hip, or other/peripheral OA. Additionally, the first OA code had to be recorded between January 1, 2006, and December 31, 2019. The date of cases' first OA diagnosis was defined as the index date. Cases were matched (by age, sex, and general practice) to up to 4 controls without a recorded OA diagnosis. Odds ratios were derived for each 58 comorbidities separately by dividing the comorbidity prevalence of cases by that of their matched controls at the index date. RESULTS: 80,099 incident OA patients were identified of whom 79,937 (99.8%) were successfully matched with 318,206 controls. OA cases had higher odds for 42 of the 58 studied comorbidities compared with matched controls. Musculoskeletal diseases and obesity showed large associations with incident OA. CONCLUSIONS: Most of the comorbidities under study had higher odds in patients with incident OA at the index date. While previously known associations were confirmed in this study, some associations were not described earlier.

Capturing the SARS-CoV-2 infection pyramid within the municipality of Rotterdam using longitudinal sewage surveillance.

Despite high vaccination rates in the Netherlands, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to circulate. Longitudinal sewage surveillance was implemented along with the notification of cases as two parts of the surveillance pyramid to validate the use of sewage for surveillance, as an early warning tool, and to measure the effect of interventions. Sewage samples were collected from nine neighborhoods between September 2020 and November 2021. Comparative analysis and modeling were performed to understand the correlation between wastewater and case trends. Using high resolution sampling, normalization of wastewater SARS-CoV-2 concentrations, and 'normalization' of reported positive tests for testing delay and intensity, the incidence of reported positive tests could be modeled based on sewage data, and trends in both surveillance systems coincided. The high collinearity implied that high levels of viral shedding around the onset of disease largely determined SARS-CoV-2 levels in wastewater, and that the observed relationship was independent of variants of concern and vaccination levels. Sewage surveillance alongside a large-scale testing effort where 58 % of a municipality was tested, indicated a five-fold difference in the number of SARS-CoV-2-positive individuals and reported cases through standard testing. Where trends in reported positive cases were biased due to testing delay and testing behavior, wastewater surveillance can objectively display SARS-CoV-2 dynamics for both small and large locations and is sensitive enough to measure small variations in the number of infected individuals within or between neighborhoods. With the transition to a post-acute phase of the pandemic, sewage surveillance can help to keep track of re-emergence, but continued validation studies are needed to assess the predictive value of sewage surveillance with new variants. Our findings and model aid in interpreting SARS-CoV-2 surveillance data for public health decision-making and show its potential as one of the pillars of future surveillance of (re)emerging viruses.

Rise and fall of SARS-CoV-2 variants in Rotterdam: Comparison of wastewater and clinical surveillance.

Monitoring of SARS-CoV-2 in wastewater (WW) is a promising tool for epidemiological surveillance, correlating not only viral RNA levels with the infection dynamics within the population, but also to viral diversity. However, the complex mixture of viral lineages in WW samples makes tracking of specific variants or lineages circulating in the population a challenging task. We sequenced sewage samples of 9 WW-catchment areas within the city of Rotterdam, used specific signature mutations from individual SARS-CoV-2 lineages to estimate their relative abundances in WW and compared them against those observed in clinical genomic surveillance of infected individuals between September 2020 and December 2021. We showed that especially for dominant lineages, the median of the frequencies of signature mutations coincides with the occurrence of those lineages in Rotterdam's clinical genomic surveillance. This, along with digital droplet RT-PCR targeting signature mutations of specific variants of concern (VOCs), showed that several VOCs emerged, became dominant and were replaced by the next VOC in Rotterdam at different time points during the study. In addition, single nucleotide variant (SNV) analysis provided evidence that spatio-temporal clusters can also be discerned from WW samples. We were able to detect specific SNVs in sewage, including one resulting in the Q183H amino acid change in the Spike gene, that was not captured by clinical genomic surveillance. Our results highlight the potential use of WW samples for genomic surveillance, increasing the set of epidemiological tools to monitor SARS-CoV-2 diversity.

Consensus for Statements Regarding a Definition for Spinal Osteoarthritis for Use in Research and Clinical Practice: A Delphi Study.

OBJECTIVE: To determine consensus among an international, multidisciplinary group of experts regarding definitions of spinal osteoarthritis for research and for clinical practice. METHODS: A 15-member, multidisciplinary steering committee generated 117 statements for a 3-round Delphi study. Experts in back pain and/or osteoarthritis were identified and invited to participate. In round 1, participants could propose additional statements for voting. All statements were rated on a 1-9 Likert scale, and consensus was set at ≥70% of respondents agreeing or disagreeing with the statement and <15% of respondents providing the opposite response. RESULTS: In total, 255 experts from 11 different professional backgrounds were invited. From 173 available experts, 116 consented to participate. In round 1, 103 participants completed the survey, followed by 85 of 111 participants in round 2 (77%) and 87 of 101 participants in round 3 (86%). One-third of participants were from Europe (30%), most were male (58%), one-fifth were physical therapists (21%), and over one-third had been in their profession for 11-20 years (35%). Of 131 statements, consensus was achieved for 71 statements (54%): 53 in agreement (75%) and 18 in disagreement (25%). CONCLUSION: Although there was consensus for statements for definitions of spinal osteoarthritis that were analogous to definitions of osteoarthritis in appendicular joints, a future definition still needs refinement. Importantly, this Delphi highlighted that a future definition should be considered across a spectrum of structural changes and patient symptoms and expressed on a progressive scale.

Normalisation of SARS-CoV-2 concentrations in wastewater: The use of flow, electrical conductivity and crAssphage.

Over the course of the Corona Virus Disease-19 (COVID-19) pandemic in 2020-2022, monitoring of the severe acute respiratory syndrome coronavirus 2 ribonucleic acid (SARS-CoV-2 RNA) in wastewater has rapidly evolved into a supplementary surveillance instrument for public health. Short term trends (2 weeks) are used as a basis for policy and decision making on measures for dealing with the pandemic. Normalisation is required to account for the dilution rate of the domestic wastewater that can strongly vary due to time- and location-dependent sewer inflow of runoff, industrial discharges and extraneous waters. The standard approach in sewage surveillance is normalisation using flow measurements, although flow based normalisation is not effective in case the wastewater volume sampled does not match the wastewater volume produced. In this paper, two alternative normalisation methods, using electrical conductivity and crAssphage have been studied and compared with the standard approach using flow measurements. For this, a total of 1116 24-h flow-proportional samples have been collected between September 2020 and August 2021 at nine monitoring locations. In addition, 221 stool samples have been analysed to determine the daily crAssphage load per person. Results show that, although crAssphage shedding rates per person vary greatly, on a population-level crAssphage loads per person per day were constant over time and similar for all catchments. Consequently, crAssphage can be used as a quantitative biomarker for populations above 5595 persons. Electrical conductivity is particularly suitable to determine dilution rates relative to dry weather flow concentrations. The overall conclusion is that flow normalisation is necessary to reliably determine short-term trends in virus circulation, and can be enhanced using crAssphage and/or electrical conductivity measurement as a quality check.

Epidemiology and management of hepatitis B and C in primary care in the Netherlands: data from the Rijnmond Primary Care database.

BACKGROUND: The Dutch guideline for general practitioners (GPs) advises biannual surveillance of hepatitis B (HBV) patients and referral of every hepatitis C (HCV) patient. We aimed to study the prevalence, incidence, and the management of hepatitis B and C in primary care. METHODS: This is a retrospective cohort study using the Rijnmond Primary Care database (RPCD), including health care data of medical records of GPs of approximately 200,000 patients in the area of Rotterdam, the Netherlands. Patient records were selected based on laboratory results, International Classification of Primary Care (ICPC) codes, and free-text words. RESULTS: In total, 977 patients were included: 717 HBV, 252 HCV, and 8 HBV/HCV coinfected patients. Between 2013 and 2019, the prevalence of HBV and HCV declined from 5.21 to 2.99/1,000 person-years (PYs) and 1.50 to 0.70/1,000 PYs, respectively. We observed that the majority of the patients had been referred to a medical specialist at least once (71% HBV and 89% HCV patients). However, among chronic patients, we observed that 36.2% of the HBV patients did not receive adequate surveillance by their GP (≥2 alanine aminotransferase checks within 3 years) or a medical specialist. In addition, 44.4% of the HCV patients had no record about successful antiviral treatment. CONCLUSIONS: This study demonstrated a declining prevalence in viral hepatitis B and C in primary care in the Netherlands. However, a substantial part of the patients did not receive adequate surveillance or antiviral therapy. It is therefore crucial to involve GPs in case finding and in follow-up after treatment.

GPs' and practice nurses' views on their management of paediatric anxiety problems: an interview study.

BACKGROUND: Anxiety problems are common in both children and adolescents, and many affected children do not receive appropriate treatment. Understaffing of mental healthcare services and long waiting lists form major barriers. In the Netherlands, practice nurses have been introduced into general practice to support general practitioners (GPs) in the management of psychosocial problems. In this study we investigated the views of GPs and practice nurses on their management of paediatric anxiety problems. METHODS: We performed an exploratory study using semi-structured interviews with 13 GPs and 13 practice nurses in the greater Rotterdam area in 2021. Interviews were transcribed and coded into topics, which were categorized per research question. RESULTS: In their management of paediatric anxiety problems, both GPs and practice nurses try to explore the case and the needs of affected children and their parents. GPs rarely follow up affected children themselves. They often refer the child, preferably to their practice nurse. Practice nurses regularly initiate follow-up consultations with affected children themselves. Practice nurses reported using a variety of therapeutic techniques, including elements of cognitive behavioural therapy. In more severe cases, practice nurses refer the child to external mental healthcare services. GPs reported being satisfied with their collaboration with practice nurses. Both GPs and practice nurses experience significant barriers in the management of paediatric anxiety problems. Most importantly, long waiting lists for external mental health care were reported to be a major difficulty. Improving cooperation with external mental healthcare providers was reported to be an important facilitator. CONCLUSIONS: In their management of paediatric anxiety problems, GPs and practice nurses experience major challenges in the cooperation with external mental healthcare providers and in the long waiting lists for these services. GPs and practice nurses believe that thanks to their shared approach more children with anxiety problems can remain treated in general practice. Future research is needed to evaluate the treatment outcomes of the shared efforts of GPs and practice nurses in their management of paediatric anxiety problems.

Sex-specific patterns and lifetime risk of multimorbidity in the general population: a 23-year prospective cohort study.

BACKGROUND: Multimorbidity poses a major challenge for care coordination. However, data on what non-communicable diseases lead to multimorbidity, and whether the lifetime risk differs between men and women are lacking. We determined sex-specific differences in multimorbidity patterns and estimated sex-specific lifetime risk of multimorbidity in the general population. METHODS: We followed 6,094 participants from the Rotterdam Study aged 45 years and older for the occurrence of ten diseases (cancer, coronary heart disease, stroke, chronic obstructive pulmonary disease, depression, diabetes, dementia, asthma, heart failure, parkinsonism). We visualised participants' trajectories from a single disease to multimorbidity and the most frequent combinations of diseases. We calculated sex-specific lifetime risk of multimorbidity, considering multimorbidity involving only somatic diseases (1) affecting the same organ system, (2) affecting different organ systems, and (3) multimorbidity involving depression. RESULTS: Over the follow-up period (1993-2016, median years of follow-up 9.2), we observed 6334 disease events. Of the study population, 10.3% had three or more diseases, and 27.9% had two or more diseases. The most frequent pair of co-occurring diseases among men was COPD and cancer (12.5% of participants with multimorbidity), the most frequent pair of diseases among women was depression and dementia (14.9%). The lifetime risk of multimorbidity was similar among men (66.0%, 95% CI: 63.2-68.8%) and women (65.1%, 95% CI: 62.5-67.7%), yet the risk of multimorbidity with depression was higher for women (30.9%, 95% CI: 28.4-33.5%, vs. 17.5%, 95% CI: 15.2-20.1%). The risk of multimorbidity with two diseases affecting the same organ is relatively low for both sexes (4.2% (95% CI: 3.2-5.5%) for men and 4.5% (95% CI: 3.5-5.7%) for women). CONCLUSIONS: Two thirds of people over 45 will develop multimorbidity in their remaining lifetime, with women at nearly double the risk of multimorbidity involving depression than men. These findings call for programmes of integrated care to consider sex-specific differences to ensure men and women are served equally.