Routine primary care data for scientific research, quality of care programs and educational purposes: the Julius General Practitioners' Network (JGPN)

A deprescribing programme aimed to optimise blood glucose-lowering medication in older people with type 2 diabetes mellitus, the OMED2-study: the study protocol for a randomised controlled trial

BACKGROUND

Older patients with type 2 diabetes mellitus (T2D) have an increased risk of hypoglycaemic episodes when using sulphonylureas or insulin. In the Netherlands, guidelines exist for reducing glucose-lowering medication in older patients. However, evidence is lacking that a medication reduction in older patients can be safely pursued. Here, we will examine if promoting the deprescribing of insulin/sulphonylureas with a deprescribing programme (DPP) in general practice affects T2D-complications in older overtreated patients.

METHODS

We will perform a 1:1 cluster randomised controlled trial in 86 general practices in the Netherlands. The DPP will consist of education sessions with general practitioners and practice nurses about reducing glucose-lowering medication in older patients (≥ 70 years). Topics of the sessions include the necessity of deprescribing, tools to initiate deprescribing and strategies to discuss deprescribing with patients (shared decision making). The DPP further includes a support programme with practice visits. The study will employ a selection tool to identify possibly overtreated older patients from the electronic medical records of the general practitioner. Eligibility for enrolment in the study will be based on HbA1c targets indicated by the Dutch guidelines, which depend on age, diabetes duration, presence of frailty, and life expectancy. The control group will provide usual care. We aim to include 406 patients. The follow-up period will be 2 years. For the primary outcome, the effect of the DPP on T2D-complications will be assessed by counting the cumulative incidence of events related to under- and overtreatment in T2D as registered in the electronic medical records. We shall perform an intention-to-treat analysis and an analysis including only patients for whom deprescribing was initiated. The implementation of the DPP in general practice will be evaluated quantitatively and qualitatively using the Extended Normalisation Process Theory (ENPT) and the Reach, Efficacy - Adoption, Implementation and Maintenance (RE-AIM) model. Other secondary outcomes include quality of life, cognitive functioning, events related to overtreatment or undertreatment, biomarkers of health, amount of blood glucose-lowering medication prescriptions, and cost-effectiveness.

DISCUSSION

This study will provide insight into the safety and feasibility of a programme aimed at deprescribing sulphonylureas/insulin in older people with T2D who are treated in general practice.

TRIAL REGISTRATION

ISRCTN Registry, ISRCTN50008265 , registered 09 March, 2023.

Frequency distribution of health disorders in primary care-its consistency and meaning for diagnostics and nomenclature

RN Braun observed that frequencies of health disorders in general practice are so consistent that he called his discovery "Case Distribution Law". Our study compares morbidity data from methodologically similar surveys in primary care practices over a period of fifty years. Frequency ranks were determined for each observation period and the first 150 ranks were compared with Spearman's correlation coefficients. All correlations were consistently positive. Frequency ranks were strikingly similar for surveys carried out at approximately the same time, especially when nomenclatural matching had been carried out before data collection. Ranks were also very similar where clear disease classifications were possible, but less so for non-specific symptoms.The consistency of the distribution of health disorders helps develop diagnostic strategies (diagnostic protocols) and appropriate labeling for non-specific, diagnostically open symptom classifications. According to Braun's considerations, the regularity of case distribution plays an important role in the professionalization of primary care.

Model-based disease mapping using primary care registry data

BACKGROUND

Spatial modeling of disease risk using primary care registry data is promising for public health surveillance. However, it remains unclear to which extent challenges such as spatially disproportionate sampling and practice-specific reporting variation affect statistical inference.

METHODS

Using lower respiratory tract infection data from the INTEGO registry, modeled with a logistic model incorporating patient characteristics, a spatially structured random effect at municipality level, and an unstructured random effect at practice level, we conducted a case and simulation study to assess the impact of these challenges on spatial trend estimation.

RESULTS

Even with spatial imbalance and practice-specific reporting variation, the model performed well. Performance improved with increasing spatial sample balance and decreasing practice-specific variation.

CONCLUSION

Our findings indicate that, with correction for reporting efforts, primary care registries are valuable for spatial trend estimation. The diversity of patient locations within practice populations plays an important role.

Tailoring remote patient management in cardiovascular risk management for healthcare professionals using panel management: a qualitative study

BACKGROUND

While remote patient management (RPM) has the potential to assist in achieving treatment targets for cardiovascular risk factors in primary care, its effectiveness may vary among different patient subgroups. Panel management, which involves proactive care for specific patient risk groups, could offer a promising approach to tailor RPM to these groups. This study aims to (i) assess the perception of healthcare professionals and other stakeholders regarding the adoption and (ii) identify the barriers and facilitators for successfully implementing such a panel management approach.

METHODS

In total, nineteen semi-structured interviews and two focus groups were conducted in the Netherlands. Three authors reviewed the audited transcripts. The Consolidated Framework for Implementation Strategies (CFIR) domains were used for the thematic analysis.

RESULTS

A total of 24 participants (GPs, nurses, health insurers, project managers, and IT consultants) participated. Overall, a panel management approach to RPM in primary care was considered valuable by various stakeholders. Implementation barriers encompassed concerns about missing necessary risk factors for patient stratification, additional clinical and technical tasks for nurses, and reimbursement agreements. Facilitators included tailoring consultation frequency and early detection of at-risk patients, an implementation manager accountable for supervising project procedures and establishing agreements on assessing implementation metrics, and ambassador roles.

CONCLUSION

Panel management could enhance proactive care and accurately identify which patients could benefit most from RPM to mitigate CVD risk. For successful implementation, we recommend having clear agreements on technical support, financial infrastructure and the criteria for measuring evaluation outcomes.

Limited incremental predictive value of the frailty index and other vulnerability measures from routine care data for mortality risk prediction in older patients with COVID-19 in primary care

BACKGROUND

During the COVID-19 pandemic, older patients in primary care were triaged based on their frailty or assumed vulnerability for poor outcomes, while evidence on the prognostic value of vulnerability measures in COVID-19 patients in primary care was lacking. Still, knowledge on the role of vulnerability is pivotal in understanding the resilience of older people during acute illness, and hence important for future pandemic preparedness. Therefore, we assessed the predictive value of different routine care-based vulnerability measures in addition to age and sex for 28-day mortality in an older primary care population of patients with COVID-19.

METHODS

From primary care medical records using three routinely collected Dutch primary care databases, we included all patients aged 70 years or older with a COVID-19 diagnosis registration in 2020 and 2021. All-cause mortality was predicted using logistic regression based on age and sex only (basic model), and separately adding six vulnerability measures: renal function, cognitive impairment, number of chronic drugs, Charlson Comorbidity Index, Chronic Comorbidity Score, and a Frailty Index. Predictive performance of the basic model and the six vulnerability models was compared in terms of area under the receiver operator characteristic curve (AUC), index of prediction accuracy and the distribution of predicted risks.

RESULTS

Of the 4,065 included patients, 9% died within 28 days after COVID-19 diagnosis. Predicted mortality risk ranged between 7-26% for the basic model including age and sex, changing to 4-41% by addition of comorbidity-based vulnerability measures (Charlson Comorbidity Index, Chronic Comorbidity Score), more reflecting impaired organ functioning. Similarly, the AUC of the basic model slightly increased from 0.69 (95%CI 0.66 - 0.72) to 0.74 (95%CI 0.71 - 0.76) by addition of either of these comorbidity scores. Addition of a Frailty Index, renal function, the number of chronic drugs or cognitive impairment yielded no substantial change in predictions.

CONCLUSION

In our dataset of older COVID-19 patients in primary care, the 28-day mortality fraction was substantial at 9%. Six different vulnerability measures had little incremental predictive value in addition to age and sex in predicting short-term mortality.

Incomplete and possibly selective recording of signs, symptoms, and measurements in free text fields of primary care electronic health records of adults with lower respiratory tract infections

OBJECTIVES

To assess the completeness of recording of relevant signs, symptoms, and measurements in Dutch free text fields of primary care electronic health records (EHR) of adults with lower respiratory tract infections (LRTI).

STUDY DESIGN AND SETTING

Retrospective cohort study embedded in a prediction modeling project using routine health care data of the Julius General Practitioners' Network of adult patients with LRTI. Free text fields of 1,000 primary care consultations of LRTI episodes between 2016 and 2019 were manually annotated to retrieve data on the recording of sixteen relevant signs, symptoms, and measurements.

RESULTS

For 12/16 (75%) of the relevant signs, symptoms, and measurements, more than 50% of the values was not recorded. The patterns of recorded values indicated selective recording of positive or abnormal values. Recording rates varied across consultation type (physical consultation vs. home visit), diagnosis (acute bronchitis vs. pneumonia), antibiotic prescription issued (yes vs. no), and between practices.

CONCLUSION

In EHR of primary care LRTI patients, recording of signs, symptoms, and measurements in free text fields is incomplete and possibly selective. When using free text data in EHR-based research, careful consideration of its recording patterns and appropriate missing data handling techniques is therefore required.

Prevalence of chronic urticaria and healthcare usage of patients with the condition in primary care: a population-based study in the Netherlands

We present a large population-based study on the prevalence and healthcare usage of patients with chronic urticaria (CU) in primary care. The observed annual point prevalence of 0.48–0.30% and a median follow-up duration of 1.5 years provides new and reliable insight into the vastness, relatively modest healthcare usage and estimated disease duration of CU in the general population, which is useful knowledge when counselling new patients with CU in both primary and specialist care settings.

Sex Differences in the Primary Prevention of Cardiovascular Diseases in a Dutch Primary Care Setting

Background

Sex differences in the primary prevention of cardiovascular diseases (CVD) have been shown, but the evidence is mixed and fragmented. In this study, we assessed sex differences in cardiovascular risk factors assessment, risk factor levels, treatment, and meeting of treatment targets, within a Dutch primary care setting.

Methods

Data were obtained from individuals aged 40 to 70 years old, without prior CVD, registered during the entire year in 2018 at one of the 51 general practices participating in the Julius General Practitioner's Network (JGPN). History of CVD was defined based on the International Classification of Primary Care (ICPC). Linear and Poisson regressions were used to investigate sex differences in risk factor assessment, risk factor levels, treatment, and meeting of treatment targets.

Results

We included 83,903 individuals (50% women). With the exception of glycated hemoglobin (HbA1c), all risk factors for CVD were more often measured in women than in men. Lipid measurements and body mass index values were higher in women, while blood pressure (BP) and HbA1c levels were higher in men, along with estimated glomerular filtration rate (eGFR) levels. Among individuals with elevated BP or cholesterol levels, no sex difference was observed in the prescription of antihypertensive medications (RR 1.00, 95% CI: 0.94-1.06) but women were less likely than men to receive lipid-lowering medications (RR 0.87, 95% CI: 0.79-0.95). Among treated individuals, women were more likely than men to meet adequate levels of blood pressure (RR 1.17, 95% CI: 1.09-1.25) and less likely to meet target levels of cholesterol (RR 0.90, 95% CI: 0.83-0.98).

Conclusion

While women were more likely to have their CVD risk factors measured, they were less likely to be prescribed lipid-lowering medications and to meet target levels. When treated, men were less likely to achieve adequate blood pressure control.

Establishment of an Evaluation Index System of Competencies for College Senior Students in General Practice Medicine in Anhui Province, China

Background

The competencies of college senior students in general practice medicine have attracted attention. This study aimed to construct an evaluation index system of competencies for college senior students in general practice medicine and to promote the reform and optimization of training programs for general medicine talent in colleges.

Methods

The two-round Delphi method was used to determine the evaluation index system of competencies for college senior students in general practice medicine, and the analytic hierarchy process (AHP) was used to calculate the weights of all levels of elements.

Results

The evaluation index system of competencies for college senior students in general practice medicine was established with 3 primary factors, 9 secondary factors and 32 tertiary factors. The Delphi results revealed that the active coefficient of experts was 1 and the authority coefficient was 0.858. The 3 primary factors were knowledge level, job skills and professionalism with weights of 0.1532, 0.4207 and 0.4261, respectively. Among the secondary factors, the top three weight coefficients were professional ethics (0.2614), community practice (0.1526) and communication skills (0.1308). Among tertiary factors, "scientific research" exhibited the lowest value with a weight coefficient of 0.0049.

Conclusion

In this study, we constructed an evaluation index system of competencies for college senior students in general practice medicine. The consensus on the content of the competencies of college senior students in general practice medicine suggests that these elements are necessary for those who will become general practitioners. This system can be used as the basis to evaluate the ability of college senior students in general practice medicine and provide guidance for the cultivation and evaluation of general medicine talent.

Population health interventions for cardiometabolic diseases in primary care: a scoping review and RE-AIM evaluation of current practices

Introduction

Cardiometabolic diseases (CMD) are the leading cause of death in high-income countries and are largely attributable to modifiable risk factors. Population health management (PHM) can effectively identify patient subgroups at high risk of CMD and address missed opportunities for preventive disease management. Guided by the Reach, Efficacy, Adoption, Implementation and Maintenance (RE-AIM) framework, this scoping review of PHM interventions targeting patients in primary care at increased risk of CMD aims to describe the reported aspects for successful implementation.

Methods

A comprehensive search was conducted across 14 databases to identify papers published between 2000 and 2023, using Arksey and O'Malley's framework for conducting scoping reviews. The RE-AIM framework was used to assess the implementation, documentation, and the population health impact score of the PHM interventions.

Results

A total of 26 out of 1,100 studies were included, representing 21 unique PHM interventions. This review found insufficient reporting of most RE-AIM components. The RE-AIM evaluation showed that the included interventions could potentially reach a large audience and achieve their intended goals, but information on adoption and maintenance was often lacking. A population health impact score was calculated for six interventions ranging from 28 to 62%.

Discussion

This review showed the promise of PHM interventions that could reaching a substantial number of participants and reducing CMD risk factors. However, to better assess the generalizability and scalability of these interventions there is a need for an improved assessment of adoption, implementation processes, and sustainability.

Predicting adverse outcomes in adults with a community-acquired lower respiratory tract infection: a protocol for the development and validation of two prediction models for (i) all-cause hospitalisation and mortality and (ii) cardiovascular outcomes

BACKGROUND

Community-acquired lower respiratory tract infections (LRTI) are common in primary care and patients at particular risk of adverse outcomes, e.g., hospitalisation and mortality, are challenging to identify. LRTIs are also linked to an increased incidence of cardiovascular diseases (CVD) following the initial infection, whereas concurrent CVD might negatively impact overall prognosis in LRTI patients. Accurate risk prediction of adverse outcomes in LRTI patients, while considering the interplay with CVD, can aid general practitioners (GP) in the clinical decision-making process, and may allow for early detection of deterioration. This paper therefore presents the design of the development and external validation of two models for predicting individual risk of all-cause hospitalisation or mortality (model 1) and short-term incidence of CVD (model 2) in adults presenting to primary care with LRTI.

METHODS

Both models will be developed using linked routine electronic health records (EHR) data from Dutch primary and secondary care, and the mortality registry. Adults aged ≥ 40 years with a GP-diagnosis of LRTI between 2016 and 2019 are eligible for inclusion. Relevant patient demographics, medical history, medication use, presenting signs and symptoms, and vital and laboratory measurements will be considered as candidate predictors. Outcomes of interest include 30-day all-cause hospitalisation or mortality (model 1) and 90-day CVD (model 2). Multivariable elastic net regression techniques will be used for model development. During the modelling process, the incremental predictive value of CVD for hospitalisation or all-cause mortality (model 1) will also be assessed. The models will be validated through internal-external cross-validation and external validation in an equivalent cohort of primary care LRTI patients.

DISCUSSION

Implementation of currently available prediction models for primary care LRTI patients is hampered by limited assessment of model performance. While considering the role of CVD in LRTI prognosis, we aim to develop and externally validate two models that predict clinically relevant outcomes to aid GPs in clinical decision-making. Challenges that we anticipate include the possibility of low event rates and common problems related to the use of EHR data, such as candidate predictor measurement and missingness, how best to retrieve information from free text fields, and potential misclassification of outcome events.

PA and NP general practice employment in the Netherlands

ABSTRACT

General practitioners (GPs) are the cornerstone of primary healthcare in the Netherlands. As a national strategy, physician associates/assistants (PAs) and NPs were introduced to address growing healthcare demand. In this study, four representative practices were analyzed quantitatively and qualitatively-two solo practices with a PA or NP and two group practices with a PA or NP. A reference group of GPs served as experts. The annual encounters per full-time GP averaged 6,839; for the NPs, 2,636; and the PAs, 4,926. Billable services were 70% to 100%, averaging 71% for NPs and 85% for PAs, and in three of the four practices, the employment of the NP or PA was cost-efficient. The qualitative data show that PAs and NPs contribute to general practice, easing the workload so that the GP has more time for complex patients. PA and NP employment was financially beneficial in 75% of cases.

Clinical Validation of a Primary Antibody Deficiency Screening Algorithm for Primary Care

PURPOSE

The diagnostic delay of primary antibody deficiencies (PADs) is associated with increased morbidity, mortality, and healthcare costs. Therefore, a screening algorithm was previously developed for the early detection of patients at risk of PAD in primary care. We aimed to clinically validate and optimize the PAD screening algorithm by applying it to a primary care database in the Netherlands.

METHODS

The algorithm was applied to a data set of 61,172 electronic health records (EHRs). Four hundred high-scoring EHRs were screened for exclusion criteria, and remaining patients were invited for serum immunoglobulin analysis and referred if clinically necessary.

RESULTS

Of the 104 patients eligible for inclusion, 16 were referred by their general practitioner for suspected PAD, of whom 10 had a PAD diagnosis. In patients selected by the screening algorithm and included for laboratory analysis, prevalence of PAD was ~ 1:10 versus 1:1700-1:25,000 in the general population. To optimize efficiency of the screening process, we refitted the algorithm with the subset of high-risk patients, which improved the area under the curve-receiver operating characteristics curve value to 0.80 (95% confidence interval 0.63-0.97). We propose a two-step screening process, first applying the original algorithm to distinguish high-risk from low-risk patients, then applying the optimized algorithm to select high-risk patients for serum immunoglobulin analysis.

CONCLUSION

Using the screening algorithm, we were able to identify 10 new PAD patients from a primary care population, thus reducing diagnostic delay. Future studies should address further validation in other populations and full cost-effectiveness analyses.

REGISTRATION

Clinicaltrials.gov record number NCT05310604, first submitted 25 March 2022.

Heavy menstrual bleeding in adolescents: incidence, diagnostics, and management practices in primary care

BACKGROUND

Heavy menstrual bleeding (HMB), self-reported by 37% of adolescents, can be the first sign of a bleeding disorder (BD) during adolescence. The Dutch general practitioner (GP) guideline demands laboratory diagnostics and referral for patients at risk for a BD. How often adolescents consult the GP for HMB and which diagnostic and management strategies are used are unknown.

OBJECTIVES

This study aims to estimate the incidence of HMB in adolescents in primary care and to identify diagnostic and management practices for HMB, considering the HMB GP guideline.

METHODS

Retrospective analyses of a GP network database containing over 200 Dutch GPs were performed. Adolescents aged 10 to 21 years, with a new diagnosis of HMB between 2010 and 2020, and a 6-month follow-up were eligible. The incidence rate and diagnostic and therapeutic strategy data were extracted.

RESULTS

We identified 1879 new diagnoses of HMB in adolescents. The average incidence rate was 7.91 per 1000 person-years. No diagnostic studies were performed in 67%. Laboratory studies were mainly restricted to hemoglobin levels (31%). Full coagulation screening occurred in 1.3%, and ferritin levels in 10%. Medication was prescribed in 65%; mostly hormonal treatment (56%) and/or nonsteroidal antiinflammatory drugs (NSAIDs) (18%). The referral rate was higher after >2 follow-up visits (6.7%) vs after 1 GP visit for HMB (1.6%; Odds ratio: 8.8; 95% CI: 5.1-15), mostly to gynecologists (>85%).

CONCLUSION

According to this GP database study, few adolescents visit their GP with HMB despite its high self-reported incidence. Most adolescents were prescribed hormonal contraception without further diagnostics. Referral was rare and mostly occurred after multiple follow-up visits.

Childhood infection burden, recent antibiotic exposure and vascular phenotypes in preschool children

BACKGROUND

Severe childhood infection has a dose-dependent association with adult cardiovascular events and with adverse cardiometabolic phenotypes. The relationship between cardiovascular outcomes and less severe childhood infections is unclear.

AIM

To investigate the relationship between common, non-hospitalised infections, antibiotic exposure, and preclinical vascular phenotypes in young children.

DESIGN

A Dutch prospective population-derived birth cohort study.

METHODS

Participants were from the Wheezing-Illnesses-Study-Leidsche-Rijn (WHISTLER) birth cohort. We collected data from birth to 5 years on antibiotic prescriptions, general practitioner (GP)-diagnosed infections, and monthly parent-reported febrile illnesses (0-1 years). At 5 years, carotid intima-media thickness (CIMT), carotid artery distensibility, and blood pressure (BP) were measured. General linear regression models were adjusted for age, sex, smoke exposure, birth weight z-score, body mass index, and socioeconomic status.

RESULTS

Recent antibiotic exposure was associated with adverse cardiovascular phenotypes; each antibiotic prescription in the 3 and 6 months prior to vascular assessment was associated with an 18.1 μm (95% confidence interval, 4.5-31.6, p = 0.01) and 10.7 μm (0.8-20.5, p = 0.03) increase in CIMT, respectively. Each additional antibiotic prescription in the preceding 6 months was associated with an 8.3 mPa-1 decrease in carotid distensibility (-15.6- -1.1, p = 0.02). Any parent-reported febrile episode (compared to none) showed weak evidence of association with diastolic BP (1.6 mmHg increase, 0.04-3.1, p = 0.04). GP-diagnosed infections were not associated with vascular phenotypes.

CONCLUSIONS

Recent antibiotics are associated with adverse vascular phenotypes in early childhood. Mechanistic studies may differentiate antibiotic-related from infection-related effects and inform preventative strategies.

Development of a primary care screening algorithm for the early detection of patients at risk of primary antibody deficiency

BACKGROUND

Primary antibody deficiencies (PAD) are characterized by a heterogeneous clinical presentation and low prevalence, contributing to a median diagnostic delay of 3-10 years. This increases the risk of morbidity and mortality from undiagnosed PAD, which may be prevented with adequate therapy. To reduce the diagnostic delay of PAD, we developed a screening algorithm using primary care electronic health record (EHR) data to identify patients at risk of PAD. This screening algorithm can be used as an aid to notify general practitioners when further laboratory evaluation of immunoglobulins should be considered, thereby facilitating a timely diagnosis of PAD.

METHODS

Candidate components for the algorithm were based on a broad range of presenting signs and symptoms of PAD that are available in primary care EHRs. The decision on inclusion and weight of the components in the algorithm was based on the prevalence of these components among PAD patients and control groups, as well as clinical rationale.

RESULTS

We analyzed the primary care EHRs of 30 PAD patients, 26 primary care immunodeficiency patients and 58,223 control patients. The median diagnostic delay of PAD patients was 9.5 years. Several candidate components showed a clear difference in prevalence between PAD patients and controls, most notably the mean number of antibiotic prescriptions in the 4 years prior to diagnosis (5.14 vs. 0.48). The final algorithm included antibiotic prescriptions, diagnostic codes for respiratory tract and other infections, gastro-intestinal complaints, auto-immune symptoms, malignancies and lymphoproliferative symptoms, as well as laboratory values and visits to the general practitioner.

CONCLUSIONS

In this study, we developed a screening algorithm based on a broad range of presenting signs and symptoms of PAD, which is suitable to implement in primary care. It has the potential to considerably reduce diagnostic delay in PAD, and will be validated in a prospective study. Trial registration The consecutive prospective study is registered at clinicaltrials.gov under NCT05310604.

Use of preventive medication and supplements in general practice in patients in their last year of life: a Retrospective cohort study

BACKGROUND

Several preventive medications and supplements become inappropriate in the last phase of life due to increased risk of adverse events caused by changed pharmacokinetics, drug-drug interactions, and changed care goals. Information on these preventive medication and supplements use in patients with a life-limiting illness in the home-care setting is limited. The primary aim of this study was to assess the use of four different groups of preventive drugs and supplements, which are inappropriate in adult patients with a life-limiting illness, living at home in the last year of life. The secondary aims were to assess reasons for discontinuing these drugs as documented in the general practitioners' patient file and whether these reasons affected the time between medication discontinuation and death.

METHODS

We performed a retrospective cohort study using the routine primary care database of the Julius General Practitioners' Network of the University Medical Centre Utrecht, a database consisting of routine care data from GPs from the city of Utrecht and its vicinity. Patients in the homecare setting with a life-limiting illness, diagnosed at least one year before death, were included. Descriptive analyses were used to describe the study population and the frequency of starting, using, and discontinuing medication and supplements in the last year of life.

RESULTS

A total of 458 of 666 included patients (69%) used at least one preventive drug in the last year of life. Vitamins were used by 36% of the patients, followed with 35% using cholesterol-lowering medication, 24% using calcium supplements and 9% using bisphosphonates. Bisphosphonates were discontinued by 70% of the users, calcium supplements by 61%, vitamins by 56% and cholesterol-lowering medication by 48% of the users, with a median interval between day of discontinuation and death of 119, 60, 110 and, 65 days, respectively. The median time between medication or supplement discontinuation and death was longest in patients with side effects and who had medication reviews.

CONCLUSION

Many patients in their last phase of life in the home-care setting use inappropriate medication and supplements. Timely medication review may contribute to optimise medication use in the last year of life.

External validation and updating of prediction models of bleeding risk in patients with cancer receiving anticoagulants

OBJECTIVE

Patients with cancer are at increased bleeding risk, and anticoagulants increase this risk even more. Yet, validated bleeding risk models for prediction of bleeding risk in patients with cancer are lacking. The aim of this study is to predict bleeding risk in anticoagulated patients with cancer.

METHODS

We performed a study using the routine healthcare database of the Julius General Practitioners' Network. Five bleeding risk models were selected for external validation. Patients with a new cancer episode during anticoagulant treatment or those initiating anticoagulation during active cancer were included. The outcome was the composite of major bleeding and clinically relevant non-major (CRNM) bleeding. Next, we internally validated an updated bleeding risk model accounting for the competing risk of death.

RESULTS

The validation cohort consisted of 1304 patients with cancer, mean age 74.0±10.9 years, 52.2% males. In total 215 (16.5%) patients developed a first major or CRNM bleeding during a mean follow-up of 1.5 years (incidence rate; 11.0 per 100 person-years (95% CI 9.6 to 12.5)). The c-statistics of all selected bleeding risk models were low, around 0.56. Internal validation of an updated model accounting for death as competing risk showed a slightly improved c-statistic of 0.61 (95% CI 0.54 to 0.70). On updating, only age and a history of bleeding appeared to contribute to the prediction of bleeding risk.

CONCLUSIONS

Existing bleeding risk models cannot accurately differentiate bleeding risk between patients. Future studies may use our updated model as a starting point for further development of bleeding risk models in patients with cancer.

Impact of the COVID-19 Outbreak-Delayed Referral of Colorectal and Lung Cancer in Primary Care: A National Retrospective Cohort Study

The Coronavirus disease 2019 (COVID-19) outbreak impacted health care. We investigated its impact on the time to referral and diagnosis for symptomatic cancer patients in The Netherlands. We performed a national retrospective cohort study utilizing primary care records linked to The Netherlands Cancer Registry. For patients with symptomatic colorectal, lung, breast, or melanoma cancer, we manually explored free and coded texts to determine the durations of the primary care (IPC) and secondary care (ISC) diagnostic intervals during the first COVID-19 wave and pre-COVID-19. We found that the median IPC duration increased for colorectal cancer from 5 days (Interquartile Range (IQR) 1-29 days) pre-COVID-19 to 44 days (IQR 6-230, p < 0.01) during the first COVID-19 wave, and for lung cancer, the duration increased from 15 days (IQR) 3-47) to 41 days (IQR 7-102, p < 0.01). For breast cancer and melanoma, the change in IPC duration was negligible. The median ISC duration only increased for breast cancer, from 3 (IQR 2-7) to 6 days (IQR 3-9, p < 0.01). For colorectal cancer, lung cancer, and melanoma, the median ISC durations were 17.5 (IQR (9-52), 18 (IQR 7-40), and 9 (IQR 3-44) days, respectively, similar to pre-COVID-19 results. In conclusion, for colorectal and lung cancer, the time to primary care referral was substantially prolonged during the first COVID-19 wave. In such crises, targeted primary care support is needed to maintain effective cancer diagnosis.

Nitrofurantoin failure in males with an uncomplicated urinary tract infection: a primary care observational cohort study

BACKGROUND

Nitrofurantoin is the first-choice antibiotic treatment for uncomplicated urinary tract infections (UTIs) in males according to the Dutch primary care UTI guideline. However, prostate involvement may be undetected and renders this treatment less suitable.

AIM

To compare the nitrofurantoin failure fraction with that found with use of other antibiotics in adult males diagnosed by their GP with an uncomplicated UTI, as well as GP adherence to the Dutch primary care UTI guideline.

DESIGN AND SETTING

Retrospective observational cohort study using routine healthcare data for males seeking care at GP practices participating in the Julius GP Network from 2014 to 2020.

METHOD

Medical records were screened for signs and symptoms of complicated UTIs, antibiotic prescriptions, and referrals. Treatment failure was defined as prescription of a different antibiotic within 30 days after initiation of antibiotic therapy and/or acute hospital referral. The effects of age and comorbidities on failure were assessed using multivariable logistic regression.

RESULTS

Most UTI episodes in males were uncomplicated (n = 6805/10 055 episodes, 68%). Nitrofurantoin  was prescribed in 3788 (56%) of uncomplicated UTIs, followed by ciprofloxacin (n = 1887,  28%), amoxicillin/clavulanic acid (n = 470,  7%), and trimethoprim/sulfamethoxazole (n = 285, 4%). Antibiotic failure occurred in  25% (95% confidence interval [CI] = 23 to 26), 10% (95% CI = 9 to 12), 20% (95% CI = 16 to 24), and 14% (95% CI = 10 to 19) of episodes, respectively. The nitrofurantoin failure fraction increased with age. Comorbidities, adjusted for age, were not associated with nitrofurantoin failure.

CONCLUSION

Nitrofurantoin failure was common in males with uncomplicated UTI and increased with age.

Elective adhesiolysis for chronic abdominal pain reduces long-term risk of adhesive small bowel obstruction

BACKGROUND

Selected patients with adhesion-related chronic abdominal pain can be treated effectively by adhesiolysis with the application of adhesion barriers. These patients might also have an increased risk to develop adhesive small bowel obstruction (ASBO). It is unknown how frequently these patients develop ASBO, and how elective adhesiolysis for pain impacts the risk of ASBO.

METHODS

Patients with adhesion-related chronic pain were included in this cohort study with long-term follow-up. The diagnosis of adhesions was confirmed using CineMRI. The decision for operative treatment of adhesions was made by shared agreement based on the correlation of complaints with CineMRI findings. The primary outcome was the 5-years incidence of readmission for ASBO. Incidence was compared between patients with elective adhesiolysis and those treated non-operatively and between patients with and without previous ASBO. Univariable and multivariable Cox regression analysis was performed to identify predictive factors for ASBO. Secondary outcomes included reoperation for ASBO and self-reported pain and other abdominal symptoms.

RESULTS

A total of 122 patients were included, 69 patients underwent elective adhesiolysis. Thirty patients in both groups had previous episodes of ASBO in history. During 5-year follow-up, the readmission rate for ASBO was 6.5% after elective adhesiolysis compared to 26.9% after non-operative treatment (p = 0.012). These percentages were 13.3% compared to 40% in the subgroup of patients with previous episodes of ASBO (p = 0.039). In multivariable analysis, elective adhesiolysis was associated with a decreased risk of readmission for ASBO with an odds ratio of 0.21 (95% CI 0.07-0.65), the risk was increased in patients with previous episodes with a odds ratio of 19.2 (95% CI 2.5-144.4). There was no difference between the groups in the prevalence of self-reported abdominal pain. However, in surgically treated patients the impact of pain on daily activities was lower, and the incidence of other symptoms was lower.

CONCLUSION

More than one in four patients with chronic adhesion-related pain develop episodes of ASBO when treated non-operatively. Elective adhesiolysis reduces the incidence of ASBO in patients with chronic adhesion-related symptoms, both in patients with and without previous episodes of ASBO in history. Trial registration The study was registered at Clinicaltrials.gov under NCT01236625.

Sex-specific and age-specific incidence of ischaemic heart disease, atrial fibrillation and heart failure in community patients with chronic obstructive pulmonary disease

OBJECTIVE

To estimate the incidence of ischaemic heart disease, atrial fibrillation and heart failure in community patients with or without chronic obstructive pulmonary disease (COPD).

METHODS

For this population-based study, we used primary care data of the Julius General Practitioners' Network. Eligible participants were aged 40-80 years old and contributed data between January 2014 and February 2019. Participants were divided into groups according to COPD status and were followed up for new ischaemic heart disease, atrial fibrillation and/or heart failure. Age-specific and sex-specific incidence and incidence rate ratios were calculated for patients with and without COPD.

RESULTS

Mean follow-up was 3.9 years, 6223 patients were included in the COPD group, and 137 028 individuals in the background group without COPD. Incidence rates of all three heart diseases increased with age and were higher in males, independent of presence of COPD. Incidence rate ratios for patients with COPD, adjusted for age and sex, were 1.69 (95% CI 1.49 to 1.92) for ischaemic heart disease, 1.56 (95% CI 1.38 to 1.77) for atrial fibrillation and 2.96 (95% CI 2.58 to 3.40) for heart failure.

CONCLUSION

The incidence of all major cardiovascular diseases is higher in patients with COPD, with the highest incidence rate ratio observed for heart failure.

The Impact of the COVID Pandemic on the Incidence of Presentations with Cancer-Related Symptoms in Primary Care

Simple Summary

The coronavirus pandemic profoundly affected how patients access health care services, as many individuals attempted to minimise risks of infectious contact and reduce burdens on health systems. This study aims to explore the effects of the coronavirus pandemic on patient presentations for cancer-related symptoms in primary care. It utilises routine clinical data for 1.23 million people in the Netherlands, comparing the first year of the pandemic to the two years prior. These data identify a 34% reduction in the incidence of cancer-related symptoms during the first wave (March to June 2020), with overall incidence returning to pre-corona levels after this period. In the first wave, the incidence of many symptoms was substantially reduced: breast lump (−17%), haematuria (−15%), abdominal mass (−21%), tiredness (−45%), lymphadenopathy (−25%), and naevus (−37%). In the second wave (October 2020 to February 2021), the incidence of breast lump and rectal bleeding was increased (both +14%), and tiredness was decreased (−20%), with the majority of other symptoms being similar to pre-COVID levels. These data describe large-scale primary care avoidance that did not increase until the end of the first COVID year for many cancer-related symptoms, suggestive that substantial numbers of patients delayed presenting to primary care.

Abstract

Introduction: In the Netherlands, the onset of the coronavirus pandemic saw shifts in primary health service provision away from physical consultations, cancer-screening programs were temporarily halted, and government messaging focused on remaining at home. In March and April 2020, weekly cancer diagnoses decreased to 73% of their pre-COVID levels, and 39% for skin cancer. This study aims to explore the effect of the COVID pandemic on patient presentations for cancer-related symptoms in primary care in The Netherlands. Methods: Retrospective cohort study using routine clinical primary care data. Monthly incidences of patient presentations for cancer-related symptoms in five clinical databases in The Netherlands were analysed from March 2018 to February 2021. Results: Data demonstrated reductions in the incidence of cancer-related symptom presentations to primary care during the first COVID wave (March-June 2020) of −34% (95% CI: −43 to −23%) for all symptoms combined. In the second wave (October 2020–February 2021) there was no change in incidence observed (−8%, 95% CI −20% to 6%). Alarm-symptoms demonstrated decreases in incidence in the first wave with subsequent incidences that continued to rise in the second wave, such as: first wave: breast lump −17% (95% CI: −27 to −6%) and haematuria −15% (95% CI −24% to −6%); and second wave: rectal bleeding +14% (95% CI: 0 to 30%) and breast lump +14% (95% CI: 2 to 27%). Presentations of common non-alarm symptom such as tiredness and naevus demonstrated decreased in-cidences in the first wave of 45% (95% CI: −55% to −33%) and 37% (95% CI −47% to −25%). In the second wave, tiredness incidence was reduced by 20% (95% CI: −33% to −3%). Subgroup analy-sis did not demonstrate difference in incidence according to sex, age groups, comorbidity status, or previous history of cancer. Conclusions: These data describe large-scale primary care avoidance that did not increase until the end of the first COVID year for many cancer-related symptoms, suggestive that substantial numbers of patients delayed presenting to primary care. For those patients who had underlying cancer, this may have had impacted the cancer stage at diagnosis, treatment, and mortality.

The Frequency of Primary Healthcare Contacts Preceding the Diagnosis of Lower-Extremity Arterial Disease: Do Women Consult General Practice Differently?

Background. Women with lower-extremity arterial disease (LEAD) are often underdiagnosed, present themselves with more advanced disease at diagnosis, and fare worse than men. Objective. To investigate to what extent potential gender differences exist in the frequency and reasons for general practitioner (GP) consultation six months prior to the diagnosis of LEAD, as potential indicators of diagnostic delay. Methods. Individuals older than 18 years diagnosed with LEAD, sampled from the Julius General Practitioner’s Network (JGPN), were included and compared with a reference population, matched (1:2.6 ratio) in terms of age, sex, and general practice. We applied a zero-inflated negative binomial (ZINB) regression model. Results. The study population comprised 4044 patients with LEAD (43.5% women) and 10,486 subjects in the reference population (46.3% women). In the LEAD cohort, the number of GP contacts was 2.70 (95% CI: 2.42, 3.02) in women and 2.54 (2.29, 2.82) in men. In the reference cohort, 1.77 (95% CI: 1.62, 1.94) in women and 1.63 (95% CI: 1.50, 1.78) in men. In the LEAD cohort, 21.9% of GP contacts occurred one month prior to diagnosis. In both cohorts and both sexes, the most common cause of consultation during the last month before the index date was cardiovascular problems. Conclusions. Six months preceding the initial diagnosis of LEAD, patients visit the GP more often than a similar population without LEAD, regardless of gender. Reported gender differences in the severity of LEAD at diagnosis do not seem to be explained by a delay in presentation to the GP.

Protocol for a Delphi consensus study to select indicators of high-quality general practice to achieve Quality Equity and Systems Transformation in Primary Health Care (QUEST-PHC) in Australia

Background

High-quality general practice has been demonstrated to provide cost-effective, equitable health care and improve health outcomes. Yet there is currently not a set of agreed comprehensive indicators in Australia. We have developed 79 evidence-based indicators and their corresponding 129 measures of high-quality general practice. This study aims to achieve consensus on relevant and feasible indicators and measures for the Australian context.

Methods

This Delphi consensus study, approved by WSU Human Research Ethics Committee, consists of three rounds of online survey with general practice experts including general practitioners, practice nurses and primary health network staff. The identified indicators and measures are grouped under an attribute framework aligned with the Quadruple Aim, and further grouped under structures, processes and outcomes according to the Donabedian framework. Participants will rate each indicator and measure for relevance and feasibility, and provide comments and recommendations of additional indicators or measures. In the last round, participants will also be asked their views on the implementation of a quality indicator tool. Each indicator and measure will require ≥70% agreement in both relevance and feasibility to achieve consensus. Aggregated ratings will be statistically analysed for response rates, level of agreement, medians, interquartile ranges and group rankings. Qualitative responses will be analysed thematically using a mixed inductive and deductive approach.

Discussion

This protocol will add to the current knowledge of the translation of performance guidelines into quality practice across complex clinical settings and in a variety of different contexts in Australian general practice. The Delphi technique is appropriate to develop consensus between the diverse experts because of its ability to offer anonymity to other participants and minimise bias. Findings will contribute to the design of an assessment tool of high-quality general practice that would enable future primary health care reforms in Australia.

Data mining to retrieve smoking status from electronic health records in general practice. EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2022;3:437-444. [PMID: 36712169 PMCID: PMC9707867 DOI: 10.1093/ehjdh/ztac031]

Aims

Optimize and assess the performance of an existing data mining algorithm for smoking status from hospital electronic health records (EHRs) in general practice EHRs.

Methods and results

We optimized an existing algorithm in a training set containing all clinical notes from 498 individuals (75 712 contact moments) from the Julius General Practitioners' Network (JGPN). Each moment was classified as either 'current smoker', 'former smoker', 'never smoker', or 'no information'. As a reference, we manually reviewed EHRs. Algorithm performance was assessed in an independent test set (n = 494, 78 129 moments) using precision, recall, and F1-score. Test set algorithm performance for 'current smoker' was precision 79.7%, recall 78.3%, and F1-score 0.79. For former smoker, it was precision 73.8%, recall 64.0%, and F1-score 0.69. For never smoker, it was precision 92.0%, recall 74.9%, and F1-score 0.83. On a patient level, performance for ever smoker (current and former smoker combined) was precision 87.9%, recall 94.7%, and F1-score 0.91. For never smoker, it was 98.0, 82.0, and 0.89%, respectively. We found a more narrative writing style in general practice than in hospital EHRs.

Conclusion

Data mining can successfully retrieve smoking status information from general practice clinical notes with a good performance for classifying ever and never smokers. Differences between general practice and hospital EHRs call for optimization of data mining algorithms when applied beyond a primary development setting.

Identifying primary care datasets and perspectives on their secondary use: a survey of Australian data users and custodians

Background

Most people receive most of their health care in in Australia in primary care, yet researchers and policymakers have limited access to resulting clinical data. Widening access to primary care data and linking it with hospital or other data can contribute to research informing policy and provision of services and care; however, limitations of primary care data and barriers to access curtail its use. The Australian Health Research Alliance (AHRA) is seeking to build capacity in data-driven healthcare improvement; this study formed part of its workplan.

Methods

The study aimed to build capacity for data driven healthcare improvement through identifying primary care datasets in Australia available for secondary use and understand data quality frameworks being applied to them, and factors affecting national capacity for secondary use of primary care data from the perspectives of data custodians and users. Purposive and snowball sampling were used to disseminate a questionnaire and respondents were invited to contribute additional information via semi-structured interviews.

Results

Sixty-two respondents collectively named 106 datasets from eclectic sources, indicating a broad conceptualisation of what a primary care dataset available for secondary use is. The datasets were generated from multiple clinical software systems, using different data extraction tools, resulting in non-standardised data structures. Use of non-standard data quality frameworks were described by two-thirds of data custodians. Building trust between citizens, clinicians, third party data custodians and data end-users was considered by many to be a key enabler to improve primary care data quality and efficiencies related to secondary use. Trust building qualities included meaningful stakeholder engagement, transparency, strong leadership, shared vision, robust data security and data privacy protection. Resources to improve capacity for primary care data access and use were sought for data collection tool improvements, workforce upskilling and education, incentivising data collection and making data access more affordable.

Conclusions

The large number of identified Australian primary care related datasets suggests duplication of labour related to data collection, preparation and utilisation. Benefits of secondary use of primary care data were many, and strong national leadership is required to reach consensus on how to address limitations and barriers, for example accreditation of EMR clinical software systems and the adoption of agreed data and quality standards at all stages of the clinical and research data-use lifecycle. The study informed the workplan of AHRA’s Transformational Data Collaboration to improve partner engagement and use of clinical data for research.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-01830-9.

Atrial fibrillation: trends in prevalence and antithrombotic prescriptions in the community

Introduction

In the past decade, the atrial fibrillation (AF) landscape, including the treatment modalities, has drastically changed. This raises the question how AF prevalence and choices in antithrombotic therapy prescription have developed in the community over time.

Methods

Routine care data from the Julius General Practitioners’ Network (JGPN) were used to calculate the yearly prevalence of AF and to quantify the percentage of all patients who were prescribed a platelet inhibitor, vitamin K antagonist (VKA), non-VKA oral anticoagulant (NOAC) or no antithrombotic medication. To explore whether certain patient characteristics are associated with selective prescription of oral anticoagulants (OAC), we applied logistic regression analyses.

Results

From 2008 through 2017, the JGPN database included 7459 unique AF patients. During this period, the prevalence of AF increased from 0.4% to 1.4%. The percentage of patients prescribed a VKA declined from 47% to 41%, whereas the percentage of patients prescribed a NOAC rose from 0% to 20%. In patients with new-onset AF, older age, heart failure, diabetes mellitus, vascular disease and dementia were independently associated with a higher likelihood of VKA rather than NOAC prescription. In 2017, 25% of all patients with AF and a CHA₂DS₂-VASc score ≥ 2 were not prescribed OAC therapy (i.e. 8% with platelet inhibitor monotherapy and 17% without any antithrombotic therapy).

Conclusion

Between 2008 and 2017, AF prevalence in the community more than tripled. Prescription patterns showed possible ‘channelling’ of VKAs over NOACs in frailer, elderly patients, whereas still about one in every four AF patients with a CHA₂DS₂-VASc score ≥ 2 was not prescribed any prophylactic OAC therapy.

Supplementary Information

The online version of this article (10.1007/s12471-022-01667-x) contains supplementary material, which is available to authorized users.

Common Infections and Antibiotic Prescribing during the First Year of the COVID-19 Pandemic: A Primary Care-Based Observational Cohort Study

Presentation and antibiotic prescribing for common infectious disease episodes decreased substantially during the first COVID-19 pandemic wave in Dutch general practice. We set out to determine the course of these variables during the first pandemic year. We conducted a retrospective observational cohort study using routine health care data from the Julius General Practitioners’ Network. All patients registered in the pre-pandemic year (n = 425,129) and/or during the first pandemic year (n = 432,122) were included. Relative risks for the number of infectious disease episodes (respiratory tract/ear, urinary tract, gastrointestinal, and skin), in total and those treated with antibiotics, and proportions of episodes treated with antibiotics (prescription rates) were calculated. Compared to the pre-pandemic year, primary care presentation for common infections remained lower during the full first pandemic year (RR, 0.77; CI, 0.76–0.78), mainly attributed to a sustained decline in respiratory tract/ear and gastrointestinal infection episodes. Presentation for urinary tract and skin infection episodes declined during the first wave, but returned to pre-pandemic levels during the second and start of the third wave. Antibiotic prescription rates were lower during the full first pandemic year (24%) as compared to the pre-pandemic year (28%), mainly attributed to a 10% lower prescription rate for respiratory tract/ear infections; the latter was not accompanied by an increase in complications. The decline in primary care presentation for common infections during the full first COVID-19 pandemic year, together with lower prescription rates for respiratory tract/ear infections, resulted in a substantial reduction in antibiotic prescribing in Dutch primary care.

Blood pressure and cholesterol measurements in primary care: cross-sectional analyses in a dynamic cohort

Background

Guidelines on cardiovascular risk management (CVRM) recommend blood pressure (BP) and cholesterol measurements every 5 years in men aged ≥40 years and (post-menopausal) women aged ≥50 years.

Aim

To evaluate CVRM guideline implementation.

Design & setting

Cross-sectional analyses in a dynamic cohort using primary care electronic health record (EHR) data from the Julius General Practitioners’ Network (JGPN) (n = 388 929).

Method

Trends (2008–2018) were assessed in the proportion of patients with at least one measurement (BP and cholesterol) every 1, 2, and 5 years, in those with:

1. a history of cardiovascular disease (CVD) and diabetes mellitus (DM);

2. a history of DM only;

3. a history of CVD only;

4. a cardiovascular risk assessment (CRA) indication based on other medical history, or;

5. no CRA indication.

Trends were evaluated over time using logistic regression mixed-model analyses.

Results

Trends in annual BP and cholesterol measurement increased for patients with a history of CVD from 37.0% to 48.4% (P<0.001) and 25.8% to 40.2% (P<0.001). In the 5-year window from 2014–2018, BP and cholesterol measurements were performed respectively in 78.5% and 74.1% of all men aged ≥40 years and 82.2% and 78.5% of all women aged ≥50 years. Least measured were patients without a CRA indication (men 60.2% and 62.4%; women 55.5% and 59.3%).

Conclusion

The fairly high frequency of CVRM measurements available in the EHR of patients in primary care suggests an adequate implementation of the CVRM guideline. As nearly all individuals visit the GP at least once within a 5-year time window, improvement of CVRM remains possible, especially in those without a CRA indication.

Adherence to Direct Oral Anticoagulants in Patients With Non-Valvular Atrial Fibrillation: A Cross-National Comparison in Six European Countries (2008-2015)

Aims: To describe and compare the adherence to different direct oral anticoagulants (DOACs) in eight European databases representing six countries. Methods: Longitudinal drug utilization study of new users (≥18 years) of DOACs (dabigatran, rivaroxaban, apixaban) with a diagnosis of non-valvular atrial fibrillation (2008-2015). Adherence was examined by estimating persistence, switching, and discontinuation rates at 12 months. Primary non-adherence was estimated in BIFAP and SIDIAP databases. Results: The highest persistence rate was seen for apixaban in the CPRD database (81%) and the lowest for dabigatran in the Mondriaan database (22%). The switching rate for all DOACs ranged from 2.4 to 13.1% (Mondriaan and EGB databases, respectively). Dabigatran had the highest switching rate from 5.0 to 20.0% (Mondriaan and EGB databases, respectively). The discontinuation rate for all DOACs ranged from 16.0 to 63.9% (CPRD and Bavarian CD databases, respectively). Dabigatran had the highest rate of discontinuers, except in the Bavarian CD and AOK NORDWEST databases, ranging from 23.2 to 64.6% (CPRD and Mondriaan databases, respectively). Combined primary non-adherence for examined DOACs was 11.1% in BIFAP and 14.0% in SIDIAP. There were differences in population coverage and in the type of drug data source among the databases. Conclusion: Despite the differences in the characteristics of the databases and in demographic and baseline characteristics of the included population that could explain some of the observed discrepancies, we can observe a similar pattern throughout the databases. Apixaban was the DOAC with the highest persistence. Dabigatran had the highest proportion of discontinuers and switchers at 12 months in most databases (EMA/2015/27/PH).

A Strong Decline in the Incidence of Childhood Otitis Media During the COVID-19 Pandemic in the Netherlands

Introduction

Recent reports have highlighted the impact of the COVID-19 pandemic on the incidence of infectious disease illnesses and antibiotic use. This study investigates the effect of the pandemic on childhood incidence of otitis media (OM) and associated antibiotic prescribing in a large primary care-based cohort in the Netherlands.

Material and Methods

Retrospective observational cohort study using routine health care data from the Julius General Practitioners’ Network (JGPN). All children aged 0-12 registered in 62 practices before the COVID-19 pandemic (1 March 2019 - 29 February 2020) and/or during the pandemic (1 March 2020 - 28 February 2021) were included. Data on acute otitis media (AOM), otitis media with effusion (OME), ear discharge episodes and associated antibiotic prescriptions were extracted. Incidence rates per 1,000 child years (IR), incidence rate ratios (IRR) and incidence rate differences (IRD) were compared between the two study periods.

Results

OM episodes declined considerably during the COVID-19 pandemic: IR pre-COVID-19 vs COVID-19 for AOM 73.7 vs 27.1 [IRR 0.37]; for OME 9.6 vs 4.1 [IRR 0.43]; and for ear discharge 12.6 vs 5.8 [IRR 0.46]. The absolute number of AOM episodes in which oral antibiotics were prescribed declined accordingly (IRD pre-COVID-19 vs COVID-19: -22.4 per 1,000 child years), but the proportion of AOM episodes with antibiotic prescription was similar in both periods (47% vs 46%, respectively).

Discussion

GP consultation for AOM, OME and ear discharge declined by 63%, 57% and 54% respectively in the Netherlands during the COVID-19 pandemic. Similar antibiotic prescription rates before and during the pandemic indicate that the case-mix presenting to primary care did not considerably change. Our data therefore suggest a true decline as a consequence of infection control measures introduced during the pandemic.

Identifying persistent somatic symptoms in electronic health records: exploring multiple theory-driven methods of identification

OBJECTIVE

Persistent somatic symptoms (PSSs) are defined as symptoms not fully explained by well-established pathophysiological mechanisms and are prevalent in up to 10% of patients in primary care. The present study aimed to explore methods to identify patients with a recognisable risk of having PSS in routine primary care data.

DESIGN

A cross-sectional study to explore four identification methods that each cover part of the broad spectrum of PSS was performed. Cases were selected based on (1) PSS-related syndrome codes, (2) PSS-related symptom codes, (3) PSS-related terminology and (4) Four-Dimensional Symptom Questionnaire scores and all methods combined.

SETTING

Coded electronic health record data were extracted from 76 general practices in the Netherlands.

PARTICIPANTS

Patients who were registered for at least 1 year during 2014-2018, were included (n=169 138).

OUTCOME MEASURES

Identification methods were explored based on (1) PSS sample sizes and demographics, (2) presence of chronic conditions and (3) healthcare utilisation (HCU) variables. Overlap between methods and practice specific differences were examined.

RESULTS

The percentage of cases identified varied between 0.3% and 7.0% across the methods. Over 58.1% of cases had chronic physical condition(s) and over 33.8% had chronic mental condition(s). HCU was generally higher for cases selected by any method compared with the total cohort. HCU was higher for method B compared with the other methods. In 26.7% of cases, cases were selected by multiple methods. Overlap between methods was low.

CONCLUSIONS

Different methods yielded different patient samples which were general practice specific. Therefore, for the most comprehensive data-based selection of PSS cases, a combination of methods A, C and D would be recommended. Advanced (data-driven) methods are needed to create a more sensitive algorithm for identifying the full spectrum of PSS. For clinical purposes, method B could possibly support screening of patients who are currently missed in daily practice.

Incidence and management of acute otitis media in adults: a primary care-based cohort study

BACKGROUND

Although primarily considered a childhood disease, acute otitis media (AOM) also occurs in adults. Data on the burden of this condition in adults are, however, scarce.

OBJECTIVE

To explore the primary care incidence and current management of AOM in adults.

METHODS

All patients aged 15 and older included in the routine health care database of the Julius General Practitioners' Network were followed from 2015 to 2018 (contributing to a total of 1 261 575 person-years). We extracted data on AOM episodes, AOM-related consultations, comorbidities, and antibiotic and analgesic prescriptions.

RESULTS

Five thousand three hundred and fifty-eight patients experienced one or more AOM episodes (total number of AOM episodes: 6667; mean 1.2 per patient). The overall AOM incidence was 5.3/1000 person-years and was fairly stable over the study period. Incidence was particularly high in atopic patients (7.3/1000 person-years) and declined with age (from 7.1 in patients 15-39 years of age to 2.7/1000 person-years in those aged 64 years and older). Oral antibiotics, predominantly amoxicillin, were prescribed in 46%, and topical antibiotics in 21% of all episodes.

CONCLUSION

Over the past years, the incidence of AOM in adults in primary care has been stable. Oral antibiotic prescription rates resemble those in children with AOM, whereas a remarkably high topical antibiotic prescription rate was observed. Future prognostic research should inform on the need and feasibility of prospective studies into the best management strategy in this condition.

Five versus seven days of nitrofurantoin for urinary tract infections in women with diabetes: a retrospective cohort study

OBJECTIVE

To compare the effectiveness of 5 versus 7 days of nitrofurantoin treatment for urinary tract infection (UTI) in women with diabetes.

METHODS

Data were collected retrospectively from Dutch general practitioners between 2013 and 2020. Nitrofurantoin prescriptions with a duration of 5 days (5DN) or 7 days (7DN) in women with diabetes were included. Inverse propensity weighting was performed to calculate adjusted risk differences (RD) for treatment failure within 28 days. Secondary outcomes were 14-day treatment failure, severe treatment failure and 28-day treatment failure in defined risk groups.

RESULTS

Nitrofurantoin was prescribed in 6866 episodes, 3247 (47.3%) episodes with 5DN and 3619 (52.7%) episodes with 7DN. Patients in the 7DN group had more co-morbidities, more diabetes-related complications and were more insulin-dependent. There were 517/3247 (15.9%) failures in the 5DN group versus 520/3619 (14.4%) in the 7DN group. The adjusted RD for failure within 28 days was 1.4% (95% CI -0.6 to 3.4).

CONCLUSION

We found no clinically significant difference in treatment failure in women with diabetes with UTI treated with either 5DN or 7DN within 28 days. A 5-day treatment should be considered to reduce cumulative nitrofurantoin exposure in DM patients.

Incidence of atrial fibrillation, ischaemic heart disease and heart failure in patients with diabetes

Background

Diabetes has strongly been linked to atrial fibrillation, ischaemic heart disease and heart failure. The epidemiology of these cardiovascular diseases is changing, however, due to changes in prevalence of obesity-related conditions and preventive measures. Recent population studies on incidence of atrial fibrillation, ischaemic heart disease and heart failure in patients with diabetes are needed.

Methods

A dynamic longitudinal cohort study was performed using primary care databases of the Julius General Practitioners’ Network. Diabetes status was determined at baseline (1 January 2014 or upon entering the cohort) and participants were followed-up for atrial fibrillation, ischaemic heart disease and heart failure until 1 February 2019. Age and sex-specific incidence and incidence rate ratios were calculated.

Results

Mean follow-up was 4.2 years, 12,168 patients were included in the diabetes group, and 130,143 individuals in the background group. Incidence rate ratios, adjusted for age and sex, were 1.17 (95% confidence interval 1.06–1.30) for atrial fibrillation, 1.66 (1.55–1.83) for ischaemic heart disease, and 2.36 (2.10–2.64) for heart failure. Overall, incidence rate ratios were highest in the younger age categories, converging thereafter.

Conclusion

There is a clear association between diabetes and incidence of the major chronic progressive heart diseases, notably with heart failure with a more than twice increased risk.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12933-021-01313-7.

Routine clinical care data from thirteen cardiac outpatient clinics: design of the Cardiology Centers of the Netherlands (CCN) database

BACKGROUND

Despite the increasing availability of clinical data due to the digitalisation of healthcare systems, data often remain inaccessible due to the diversity of data collection systems. In the Netherlands, Cardiology Centers of the Netherlands (CCN) introduced "one-stop shop" diagnostic clinics for patients suspected of cardiac disease by their general practitioner. All CCN clinics use the same data collection system and standardised protocol, creating a large regular care database. This database can be used to describe referral practices, evaluate risk factors for cardiovascular disease (CVD) in important patient subgroups, and develop prediction models for use in daily care.

CONSTRUCTION AND CONTENT

The current database contains data on all patients who underwent a cardiac workup in one of the 13 CCN clinics between 2007 and February 2018 (n = 109,151, 51.9% women). Data were pseudonymised and contain information on anthropometrics, cardiac symptoms, risk factors, comorbidities, cardiovascular and family history, standard blood laboratory measurements, transthoracic echocardiography, electrocardiography in rest and during exercise, and medication use. Clinical follow-up is based on medical need and consisted of either a repeat visit at CCN (43.8%) or referral for an external procedure in a hospital (16.5%). Passive follow-up via linkage to national mortality registers is available for 95% of the database.

UTILITY AND DISCUSSION

The CCN database provides a strong base for research into historically underrepresented patient groups due to the large number of patients and the lack of in- and exclusion criteria. It also enables the development of artificial intelligence-based decision support tools. Its contemporary nature allows for comparison of daily care with the current guidelines and protocols. Missing data is an inherent limitation, as the cardiologist could deviate from standardised protocols when clinically indicated.

CONCLUSION

The CCN database offers the opportunity to conduct research in a unique population referred from the general practitioner to the cardiologist for diagnostic workup. This, in combination with its large size, the representation of historically underrepresented patient groups and contemporary nature makes it a valuable tool for expanding our knowledge of cardiovascular diseases.

TRIAL REGISTRATION

Not applicable.

Nitrofurantoin 100 mg versus 50 mg prophylaxis for urinary tract infections, a cohort study

OBJECTIVES

Guidelines do not distinguish between 50 mg or 100 mg nitrofurantoin as daily prophylaxis for recurrent urinary tract infection (UTI), although 50 mg might have a better safety profile. Our objective was to compare the effectiveness and safety of both regimens.

METHODS

Data were retrospectively collected from 84 Dutch GP practices between 2013 and 2020. Nitrofurantoin prescriptions of 100 mg and 50 mg every 24 hours in women were included. Cox proportional hazard regression analysis was used to calculate hazard ratios on first episode of UTI, pyelonephritis and (adverse) events. Patients were followed for the duration of consecutive repeated prescriptions, assuming non-informative right censoring, up to 1 year.

RESULTS

Nitrofurantoin prophylaxis was prescribed in 1893 patients. Median lengths of follow up were 90 days (interquartile range (IQR) 37-179 days) for 100 mg (n = 551) and 90 days (IQR 30-146 days) for 50 mg (n = 1342) with few differences in baseline characteristics between populations. Under 100 mg and 50 mg, 82/551 (14.9%) and 199/1342 (14.8%) developed UTI and 46/551 (8.3%) and 81/1342 (6.0%) developed pyelonephritis, respectively. Adjusted HRs of 100 mg versus 50 mg were 1.01 (95% CI 0.78-1.30) on first UTI, 1.37 (95% CI 0.95-1.98) on first pyelonephritis episode, 1.82 (95% CI 1.20-2.74) on first consultation for cough, 2.68 for dyspnoea (95% CI 1.11-6.45) and 2.43 for nausea (95% CI 1.03-5.74).

CONCLUSION

Daily prophylaxis for recurrent UTI with 100 mg instead of 50 mg nitrofurantoin was associated with an equivalent hazard on UTI or pyelonephritis, and a higher hazard on cough, dyspnoea and nausea. We recommend 50 mg nitrofurantoin as daily prophylaxis.

The influence of electronic reminders on recording diagnoses in a primary health care emergency department: a register-based study in a Finnish town

OBJECTIVE

This study examines whether implementation of electronic reminders is associated with a change in the amount and content of diagnostic data recorded in primary health care emergency departments (ED).

DESIGN

A register-based 12-year follow-up study with a before-and-after design.

SETTING

This study was performed in a primary health care ED in Finland. An electronic reminder was installed in the health record system to remind physicians to include the diagnosis code of the visit to the health record.

SUBJECTS AND MAIN OUTCOME MEASURES

The report generator of the electronic health record-system provided monthly figures for the number of different recorded diagnoses by using the International Classification of Diagnoses (ICD-10th edition) and the total number of ED physician visits, thus allowing the calculation of the recording rate of diagnoses on a monthly basis and the comparison of diagnoses before and after implementing electronic reminders.

RESULTS

The most commonly recorded diagnoses in the ED were acute upper respiratory infections of various and unspecified sites (5.8%), abdominal and pelvic pain (4.8%), suppurative and unspecified otitis media (4.5%) and dorsalgia (4.0%). The diagnosis recording rate in the ED doubled from 41.2 to 86.3% (p < 0.001) after the application of electronic reminders. The intervention especially enhanced the recording rate of symptomatic diagnoses (ICD-10 group-R) and alcohol abuse-related diagnoses (ICD-10 code F10). Mental and behavioural disorders (group F) and injuries (groups S-Y) were also better recorded after this intervention.

CONCLUSION

Electronic reminders may alter the documentation habits of physicians and recording of clinical data, such as diagnoses, in the EDs. This may be of use when planning resource managing in EDs and planning their actions.KEY POINTSElectronic reminders enhance recording of diagnoses in primary care but what happens in emergency departments (EDs) is not known.Electronic reminders enhance recording of diagnoses in primary care ED.Especially recording of symptomatic diagnoses and alcohol abuse-related diagnoses increased.

Therapeutic inertia in the management of hypertension in primary care

BACKGROUND

Therapeutic inertia is considered to be an obstacle to effective blood pressure (BP) control.

AIMS

To identify patient characteristics associated with therapeutic inertia in patients with hypertension managed in primary care and to assess reasons not to intensify therapy.

METHODS

A Dutch cohort study was conducted using electronic health record data of patients registered in the Julius General Practitioners' Network (n = 530 564). Patients with a diagnosis of hypertension, SBP at least 140 and/or DBP at least 90 mmHg, and one or two BP-lowering drug(s) were included. Therapeutic inertia was defined as not undertaking therapeutic action in follow-up despite uncontrolled BP. Multivariable logistic regression was used to identify characteristics associated with inertia. Furthermore, an exploratory survey was performed in which general practitioners of 114 patients were asked for reasons not to intensify treatment.

RESULTS

We identified 6400 (10% of all patients with hypertension) uncontrolled patients on one or two BP-lowering drugs. Therapeutic inertia was 87%, similar in men and women. Older age, lower systolic, diastolic and near-target SBP, and diabetes were positively associated, while renal insufficiency and heart failure were inversely related to inertia. General practitioners did not intensify therapy because they first, considered office BP measurements as nonrepresentative (27%); second, waited for next BP readings (21%); third, wanted to optimize lifestyle first (19%). Eleven percent of patients explicitly did not want to change treatment.

CONCLUSION

Therapeutic inertia is common in primary care patients with uncontrolled hypertension. Older age, and closer to target BP, but also concurrent diabetes were associated with inertia.

Persistent Symptoms and Health Needs of Women and Men With Non-Obstructed Coronary Arteries in the Years Following Coronary Angiography

Background: The prognosis of women and men with persistent anginal complaints and non-obstructed coronary arteries is impaired as compared with asymptomatic women and men. The increased healthcare burden in the hospital due to repeated coronary angiography in these women and men has been documented, yet little is known about the percentage of women and men who remain symptomatic and under care of the general practitioner in the years following a coronary angiographic outcome of non-obstructed coronary arteries. Methods: From the Utrecht Coronary Biobank study, including individuals who underwent a coronary angiography from 2011 to 2015 (N = 2,546, 27% women), we selected women and men with non-obstructed coronary arteries (N = 687, 39% women). This population was linked to the Julius General Practitioners Network (JGPN); a database with routine care data of general practitioners. For every individual with non-obstructed coronary arteries, we selected an asymptomatic non-referred age-, sex-, and general practitioner-matched individual from the JGPN. We compared the healthcare consumption of men and women with non-obstructed coronary arteries to these matched individuals. The McNemar's test was used for pairwise comparison, and sex differences were assessed using stratified analyses. Results: The prevalence of non-obstructed coronary arteries was higher in women as compared with men (39 vs. 23%). During a median follow-up of 7 years [IQR 6.4-8.0], 89% of the individuals with non-obstructed coronary arteries (91% women and 87% men) visited their general practitioner for one or more cardiovascular consultations. This was compared to 34% of the matched individuals (89 vs. 34%, p < 0.001). The consultations were most often for angina (equivalents) (57 vs. 11%, p < 0.001) and heart failure (10 vs. 2%, p = 0.015). In addition, they more often consulted the general practitioner for psychosocial complaints (31 vs. 15%, p = 0.005). Findings were similar for women and men. Conclusions: A coronary angiographic outcome of non-obstructed coronary arteries is more common in women than in men. In the years following the coronary angiography, the majority of the population remains symptomatic. Both women and men with non-obstructed coronary arteries had higher health needs for angina, heart failure, and psychosocial complaints than matched asymptomatic individuals.

Impact of the COVID-19 Pandemic on Antibiotic Prescribing for Common Infections in The Netherlands: A Primary Care-Based Observational Cohort Study

In 2020, the COVID-19 pandemic brought dramatic changes in the delivery of primary health care across the world, presumably changing the number of consultations for infectious diseases and antibiotic use. We aimed to assess the impact of the pandemic on infections and antibiotic prescribing in Dutch primary care. All patients included in the routine health care database of the Julius General Practitioners’ Network were followed from March through May 2019 (n = 389,708) and March through May 2020 (n = 405,688). We extracted data on consultations for respiratory/ear, urinary tract, gastrointestinal and skin infections using the International Classification of Primary Care (ICPC) codes. These consultations were combined in disease episodes and linked to antibiotic prescriptions. The numbers of infectious disease episodes (total and those treated with antibiotics), complications, and antibiotic prescription rates (i.e., proportion of episodes treated with antibiotics) were calculated and compared between the study periods in 2019 and 2020. Fewer episodes were observed during the pandemic months than in the same months in 2019 for both the four infectious disease entities and complications such as pneumonia, mastoiditis and pyelonephritis. The largest decline was seen for gastrointestinal infections (relative risk (RR), 0.54; confidence interval (CI), 0.51 to 0.58) and skin infections (RR, 0.71; CI, 0.67 to 0.75). The number of episodes treated with antibiotics declined as well, with the largest decrease seen for respiratory/ear infections (RR, 0.54; CI, 0.52 to 0.58). The antibiotic prescription rate for respiratory/ear infections declined from 21% to 13% (difference −8.0% (CI, −8.8 to −7.2)), yet the prescription rates for other infectious disease entities remained similar or increased slightly. The decreases in primary care infectious disease episodes and antibiotic use were most pronounced in weeks 15–19, mid-COVID-19 wave, after an initial peak in respiratory/ear infection presentation in week 11, the first week of lock-down. In conclusion, our findings indicate that the COVID-19 pandemic has had profound effects on the presentation of infectious disease episodes and antibiotic use in primary care in the Netherlands. Consequently, the number of infectious disease episodes treated with antibiotics decreased. We found no evidence of an increase in complications.

Developing a regional transmural care database: A roadmap

INTRODUCTION

In primary care health care systems, primary care physicians (PCPs) provide most basic care services, and if necessary, refer to secondary care for specialized work-up and treatment. If hospital care is required, agreement between PCPs and secondary care physicians (SCPs) on the conditions for patient referral and back-referral are considered crucial to providing high quality patient care. The regional healthcare network of Utrecht, a region in the Netherlands, developed a set of collaborative patient care agreements (CPCAs) for specific chronic conditions. Even though these CPCA are endorsed by all relevant regional health care organisations, the adoption of these agreements in practice remains substandard. In this project, through linkage of routine care data, as registered in daily practice by PCPs and SCPs, a regional transmural care database (RTD) was developed for monitoring the use of the CPCAs. Its data was transformed into' mirror data' used to support PCPs and SCPs in discussing and improving current practice and to support a learning healthcare system within the region.

METHODS

The development of the RTD is part of a larger action research project on joint care, called ZOUT (an acronym which is translated as "The right care at the right place in the Utrecht region"). The RTD includes data from three regional hospitals, and about 70 affiliated primary care practices which are united in the Julius General Practitioners Network (JGPN). These data were extracted, linked and presented in the form of mirror data, following simple methods to allow replication of our approach. CPCAs addressing transmural care for three chronic conditions were selected. Data from the primary care practices and the hospitals were linked by an independent trusted third party. This enabled relevant hospital data to be added to the primary care dataset, thereby providing transmural routine care data for individual patients.

RESULTS

During the development of the RTD, a roadmap was created including a detailed step-by-step checklist of the organizational, administrative, technical and legal arrangements which needed to be made. Legal and administrative challenges proved most challenging. Also, incompleteness of data and the impossibility to translate several agreements into extractable data limited the potential for providing a comprehensive overview of the extent to which agreements in the CPCA were adhered to in daily care.

DISCUSSION

We present a systematic, comprehensive (technical as well as practical) and reproducible roadmap to developing a regional transmural care database suitable for generating mirror data on joint transmural care between PCPs and SCPs. This approach includes all technical steps in data selection and linkage, as well as the substantive steps that need to be taken in the analysis and application of the results. The mirror data, which reflects the follow-up of agreements formulated in the CPCAs, enabled shared reflection and discussion between PCPs and SCPs. This supports the search for bottlenecks and potentialities for improving daily collaborative care, thereby showing great potential to serve a learning regional healthcare system.

Evaluating a cardiovascular disease risk management care continuum within a learning healthcare system: a prospective cohort study

BACKGROUND

Many patients now present with multimorbidity and chronicity of disease. This means that multidisciplinary management in a care continuum, integrating primary care and hospital care services, is needed to ensure high quality care.

AIM

To evaluate cardiovascular risk management (CVRM) via linkage of health data sources, as an example of a multidisciplinary continuum within a learning healthcare system (LHS).

DESIGN & SETTING

In this prospective cohort study, data were linked from the Utrecht Cardiovascular Cohort (UCC) to the Julius General Practitioners' Network (JGPN) database. UCC offers structured CVRM at referral to the University Medical Centre (UMC) Utrecht. JGPN consists of electronic health record (EHR) data from referring GPs.

METHOD

The cardiovascular risk factors were extracted for each patient 13 months before referral (JGPN), at UCC inclusion, and during 12 months follow-up (JGPN). The following areas were assessed: registration of risk factors; detection of risk factor(s) requiring treatment at UCC; communication of risk factors and actionable suggestions from the specialist to the GP; and change of management during follow-up.

RESULTS

In 52% of patients, ≥1 risk factors were registered (that is, extractable from structured fields within routine care health records) before UCC. In 12%-72% of patients, risk factor(s) existed that required (change or start of) treatment at UCC inclusion. Specialist communication included the complete risk profile in 67% of letters, but lacked actionable suggestions in 86%. In 29% of patients, at least one risk factor was registered after UCC. Change in management in GP records was seen in 21%-58% of them.

CONCLUSION

Evaluation of a multidisciplinary LHS is possible via linkage of health data sources. Efforts have to be made to improve registration in primary care, as well as communication on findings and actionable suggestions for follow-up to bridge the gap in the CVRM continuum.

Prescribers' compliance with summary of product characteristics of dabigatran, rivaroxaban and apixaban-A European comparative drug utilization study

Despite a tremendous increase of direct oral anticoagulants (DOACs) prescriptions in recent years, only few data is available analysing prescribers' adherence to Summary of Product Characteristics (SmPC). We aimed to assess adherence to registered indications, contraindications, special warnings/precautions, and potential drug-drug interactions for three DOAC compounds (dabigatran, rivaroxaban, and apixaban) in six databases of five European countries (The Netherlands, United Kingdom, Spain, Denmark, and Germany). We included adult patients (≥18 years) initiating DOACs between 2008 and 2015. For several SmPC items, broad definitions were used due to ambiguous SmPC terms or lacking data in some databases. Within the study period, a DOAC was initiated in 407 576 patients (rivaroxaban: 240 985 (59.1%), dabigatran: 95 303 (23.4%), and apixaban: 71 288 (17.5%)). In 2015, non-valvular atrial fibrillation was the most common indication (>60% in most databases). For the whole study period, a substantial variation between the databases was found regarding the proportion of patients with at least one contraindication (inter-database range [IDR]: 8.2%-55.7%), with at least one special warning/precaution (IDR: 35.8%-75.2%) and with at least one potential drug-drug interaction (IDR: 22.4%-54.1%). In 2015, the most frequent contraindication was "malignant neoplasm" (IDR: 0.7%-21.3%) whereas the most frequent special warning/precaution was "prescribing to the elderly" (≥75 years; IDR: 25.0%-66.4%). The most common single compound class interaction was "concomitant use of non-steroidal anti-inflammatory drugs" (IDR: 3.0%-25.3%). Contraindications, special warnings/precautions, and potential drug-drug interactions were present in a relevant number of new DOAC users. Due to broad definitions used for some SmPC terms, overall proportions for contraindications are prone to overestimation. However, for unambiguous SmPC terms documented in the databases sufficiently, the respective estimates can be considered valid. Differences between databases might be related to "true" differences in prescription behaviour, but could also be partially due to differences in database characteristics.

Artificial Intelligence and Primary Care Research: A Scoping Review

PURPOSE

Rapid increases in technology and data motivate the application of artificial intelligence (AI) to primary care, but no comprehensive review exists to guide these efforts. Our objective was to assess the nature and extent of the body of research on AI for primary care.

METHODS

We performed a scoping review, searching 11 published or gray literature databases with terms pertaining to AI (eg, machine learning, bayes* network) and primary care (eg, general pract*, nurse). We performed title and abstract and then full-text screening using Covidence. Studies had to involve research, include both AI and primary care, and be published in Eng-lish. We extracted data and summarized studies by 7 attributes: purpose(s); author appointment(s); primary care function(s); intended end user(s); health condition(s); geographic location of data source; and AI subfield(s).

RESULTS

Of 5,515 unique documents, 405 met eligibility criteria. The body of research focused on developing or modifying AI methods (66.7%) to support physician diagnostic or treatment recommendations (36.5% and 13.8%), for chronic conditions, using data from higher-income countries. Few studies (14.1%) had even a single author with a primary care appointment. The predominant AI subfields were supervised machine learning (40.0%) and expert systems (22.2%).

CONCLUSIONS

Research on AI for primary care is at an early stage of maturity. For the field to progress, more interdisciplinary research teams with end-user engagement and evaluation studies are needed.

Nitrofurantoin Failure in Elderly Men: A Retrospective Observational Study

Urinary tract infections in the elderly are common. Treatment with nitrofurantoin in men may not be sufficient if concomitant tissue involvement is present, resulting in treatment failure. The aim of this study is to determine the prevalence of nitrofurantoin failure in the elderly, and to assess the effect of gender and age. A retrospective observational study was conducted using a Dutch general practice medical record database of 21,789 men and 26,622 women aged 65 years or older in 2015. First, nitrofurantoin prescriptions in 2015 were analyzed. Nitrofurantoin failure (subsequent prescription of antibiotic within 30 days) for men, women, and different age categories were compared. The effect of age and gender was assessed using multivariate logistic regression. A total of 3537 patients had a first nitrofurantoin prescription in 2015; 506 men and 3031 women. Overall, 584 patients (17%) experienced nitrofurantoin failure; 135 (27%) men and 449 (15%) women. Male gender (odds ratio (OR) = 2.09, 95% confidence interval (CI) 1.68–2.61) and age (OR = 1.02, 95% CI 1.01–1.03) was associated with higher treatment failure. Our findings indicate that in a substantial number of elderly men, nitrofurantoin might not be the appropriate treatment. Nitrofurantoin, as a first choice in elderly men with urinary tract infections, should be reconsidered.

Inactivated influenza vaccine does not reduce all cause respiratory illness in children with pre-existing medical conditions

BACKGROUND

The effectiveness of inactivated influenza vaccine (IIV) immunization in preventing all cause respiratory illness (RI) in children with pre-existing medical conditions has not been fully established and varies from season to season. This study aims to quantify the overall impact of IIV immunization on primary care attended RI episodes in children with pre-existing medical conditions, using robust observational data spanning twelve influenza seasons.

METHODS

Electronic records of IIV eligible children aged 6 months to 18 years were extracted from primary care databases over the years 2004-2015. IIV eligibility criteria according to Dutch guidelines included (chronic) respiratory and cardiovascular disease and diabetes mellitus. For each year, information on IIV immunization status, primary care attended RI episodes (including influenza, acute respiratory tract infections and asthma exacerbations) and potential confounders were collected. Generalized estimating equations were used to model the association between IIV status and occurrence of at least one RI episode during the influenza epidemic period with "current year immunized" as reference group. Robustness of findings were assessed by performing various sensitivity analyzes in which (i) seasons with a mismatch between the dominant circulating influenza virus and vaccine strain were excluded, (ii) influenza periods were further restricted to weeks with at least 30% influenza virus positive specimens in sentinel surveillance (instead of 5%), (iii) propensity scores were used to adjust for confounding.

RESULTS

In total, 11,797 children (follow-up duration: 38,701 child-years) were eligible for IIV for ≥ one season with 29% immunized at least once. The adjusted odds for primary care attended RI episodes during the influenza epidemic period did not differ between current season immunized versus not immunized children (adjusted OR:1.01; 95%CI:0.90-1.13). The various sensitivity analysis showed comparable results.

CONCLUSIONS

IIV immunization in children with pre-existing medical conditions does not reduce all cause RI episodes encountered in primary care during the influenza season.