Regression calibration of self-reported mobile phone use to optimize quantitative risk estimation in the COSMOS study.

The Cohort Study of Mobile Phone Use and Health (COSMOS) has repeatedly collected self-reported and operator-recorded data on mobile phone use. Assessing health effects using self-reported information is prone to measurement error, but operator data were available prospectively for only part of the study population and did not cover past mobile phone use. To optimize the available data and reduce bias, we evaluated different statistical approaches for constructing mobile phone exposure histories within COSMOS. We evaluated and compared the performance of four regression calibration (RC) methods (simple, direct, inverse, and generalized additive model for location, shape, and scale), complete-case (CC) analysis and multiple imputation (MI) in a simulation study with a binary health outcome. We used self-reported and operator-recorded mobile phone call data collected at baseline (2007-2012) from participants in Denmark, Finland, the Netherlands, Sweden, and the UK. Parameter estimates obtained using simple, direct, and inverse RC methods were associated with less bias and lower mean squared error than those obtained with CC analysis or MI. We showed that RC methods resulted in more accurate estimation of the relation between mobile phone use and health outcomes, by combining self-reported data with objective operator-recorded data available for a subset of participants.

Medical Specialist Care Utilization Prior to the Explantation of Cosmetic Silicone Breast Implants: A Nationwide Retrospective Data Linkage Study.

BACKGROUND: Explantation is the proposed treatment for breast implant illness (BII). Little is known about which medical specialists are visited and what diagnoses are made before explantation is provided as the treatment. OBJECTIVES: This study investigated medical specialist care utilization in women with cosmetic breast implants who underwent explantation compared to women who chose breast implant replacement surgery and to women without breast implants. METHODS: Retrospective cohort study using data linkage with the Dutch Breast Implant Registry and the Dutch health insurance claims database. Visits to medical specialists were examined over the 3 years before explantation. A total of 832 explantation patients were matched and compared to 1463 breast implant replacement patients and 1664 women without breast implants. RESULTS: Explantation patients were more likely to have visited > 5 different medical specialties compared to both replacement patients (12.3% vs. 5.7%; p < 0.001) and women without breast implants (12.3% vs. 3.7%; p < 0.001). Among explantation patients, women who underwent explantation because of BII were more likely to have visited > 5 different medical specialties compared to women who underwent explantation because of other reasons (25.0% vs. 11.0%; p < 0.001). CONCLUSIONS: Women who underwent explantation of breast implants had higher utilization of medical specialist care in the years before explantation compared to women who underwent breast implant replacement surgery and women without breast implants. Medical specialist care use was especially high among women for whom BII was the registered reason for explantation. These findings suggest further research is needed into the link between BII and the use of medical specialist care. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

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

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

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

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

General Practices' Experiences With Patients' Web-Based Access to Medical Records: Survey Study.

BACKGROUND: Patients' web-based access to their medical records is expected to promote their role and responsibility in managing their own health and treatments and supporting shared decision-making. As of July 2020, general practices in the Netherlands are legally obliged to provide their patients access to their electronic medical records. Web-based access provision is facilitated and stimulated through a national support program named OPEN. OBJECTIVE: We aimed to investigate general practice staff experiences with providing web-based access; investigate its impact on patient consultations, administrative actions, and patient inquiries; and investigate how it affects routine general practice workflow processes. METHODS: In October 2021, a total of 3813 general practices in the Netherlands were invited to complete a web-based survey that included questions regarding their experiences with the provision of web-based access to medical records and how it affects routine general practice workflow. Responses of general practices that started providing web-based access before 2020, in 2020, or in 2021 were analyzed to identify trends. RESULTS: Of 3813 invited general practices, 523 (13.72%) completed the survey. Approximately all responding general practices (487/523, 93.1%) indicated that they provide web-based access. Experiences with patients' web-based access were diverse, with 36.9% (178/482) primarily positive, 8.1% (39/482) primarily negative, 42.3% (204/482) neutral, and 12.7% (61/482) could not (yet) indicate how they experienced web-based access. Of the total, two-thirds (311/473, 65.8%) reported an increase in e-consultations and a similar percentage (302/474, 63.7%) indicated an increase in administrative actions associated with web-based access provision. A small proportion of the practices (≤10%) experienced a decrease in patient contacts. Earlier adoption of web-based access was associated with a more positive attitude toward web-based access and more positive experienced effects related to patient contacts and general practice workflow. CONCLUSIONS: The surveyed general practices mainly experienced providing web-based access as either neutral or mostly positive, despite an increased number of patient contacts and administrative burden that were associated with its adoption. Periodic monitoring of experiences is needed to understand the temporal or structural nature of both the intended and unintended effects of patients' web-based access to medical records for general practices and their staff.

Opt-In and Opt-Out Consent Procedures for the Reuse of Routinely Recorded Health Data in Scientific Research and Their Consequences for Consent Rate and Consent Bias: Systematic Review.

BACKGROUND: Scientific researchers who wish to reuse health data pertaining to individuals can obtain consent through an opt-in procedure or opt-out procedure. The choice of procedure may have consequences for the consent rate and representativeness of the study sample and the quality of the research, but these consequences are not well known. OBJECTIVE: This review aimed to provide insight into the consequences for the consent rate and consent bias of the study sample of opt-in procedures versus opt-out procedures for the reuse of routinely recorded health data for scientific research purposes. METHODS: A systematic review was performed based on searches in PubMed, Embase, CINAHL, PsycINFO, Web of Science Core Collection, and the Cochrane Library. Two reviewers independently included studies based on predefined eligibility criteria and assessed whether the statistical methods used in the reviewed literature were appropriate for describing the differences between consenters and nonconsenters. Statistical pooling was conducted, and a description of the results was provided. RESULTS: A total of 15 studies were included in this meta-analysis. Of the 15 studies, 13 (87%) implemented an opt-in procedure, 1 (7%) implemented an opt-out procedure, and 1 (7%) implemented both the procedures. The average weighted consent rate was 84% (60,800/72,418 among the studies that used an opt-in procedure and 96.8% (2384/2463) in the single study that used an opt-out procedure. In the single study that described both procedures, the consent rate was 21% in the opt-in group and 95.6% in the opt-out group. Opt-in procedures resulted in more consent bias compared with opt-out procedures. In studies with an opt-in procedure, consenting individuals were more likely to be males, had a higher level of education, higher income, and higher socioeconomic status. CONCLUSIONS: Consent rates are generally lower when using an opt-in procedure compared with using an opt-out procedure. Furthermore, in studies with an opt-in procedure, participants are less representative of the study population. However, both the study populations and the way in which opt-in or opt-out procedures were organized varied widely between the studies, which makes it difficult to draw general conclusions regarding the desired balance between patient control over data and learning from health data. The reuse of routinely recorded health data for scientific research purposes may be hampered by administrative burdens and the risk of bias.

Setting up a Governance Framework for Secondary Use of Routine Health Data in Nursing Homes: Development Study Using Qualitative Interviews.

BACKGROUND: In the nursing home sector, reusing routinely recorded data from electronic health records (EHRs) for knowledge development and quality improvement is still in its infancy. Trust in appropriate and responsible reuse is crucial for patients and nursing homes deciding whether to share EHR data for these purposes. A data governance framework determines who may access the data, under what conditions, and for what purposes. This can help obtain that trust. Although increasing attention is being paid to data governance in the health care sector, little guidance is available on development and implementation of a data governance framework in practice. OBJECTIVE: This study aims to describe the development process of a governance framework for the "Registry Learning from Data in Nursing Homes," a national registry for EHR data on care delivered by nursing home physicians (in Dutch: specialist ouderengeneeskunde) in Dutch nursing homes-to allow data reusage for research and quality improvement of care. METHODS: Relevant stakeholders representing practices, policies, and research in the nursing home sector were identified. Semistructured interviews were conducted with 20 people from 14 stakeholder organizations. The main aim of the interviews was to explore stakeholders' perspectives regarding the Registry's aim, data access criteria, and governing bodies' tasks and composition. Interview topics and analyses were guided by 8 principles regarding governance for reusing health data, as described in the literature. Interview results, together with legal advice and consensus discussions by the Registry's consortium partners, were used to shape the rules, regulations, and governing bodies of the governance framework. RESULTS: Stakeholders valued the involvement of nursing home residents and their representatives, nursing home physicians, nursing homes' boards of directors, and scientists and saw this as a prerequisite for a trustworthy data governance framework. For the Registry, involvement of these groups can be achieved through a procedure in which residents can provide their consent or objection to the reuse of the data, transparency about the decisions made, and providing them a position in a governing body. In addition, a data request approval procedure based on predefined assessment criteria indicates that data reuse by third parties aligns with the aims of the Registry, benefits the nursing home sector, and protects the privacy of data subjects. CONCLUSIONS: The stakeholders' views, expertise, and knowledge of other frameworks and relevant legislation serve to inform the application of governance principles to the contexts of both the nursing home sector and the Netherlands. Many different stakeholders were involved in the development of the Registry Learning from Data in Nursing Homes' governance framework and will continue to be involved. Engagement of the full range of stakeholders in an early stage of governance framework development is important to generate trust in appropriate and responsible data reuse.

Prevalence of Health Problems and Health-Care Use in Partners of People with Dementia: Longitudinal Analysis with Routinely Recorded Health and Administrative Data.

INTRODUCTION: This study aims to provide insight into the prevalence of health problems and the frequency of general practitioner (GP) contacts in cohabiting partners of persons with dementia, during the year prior to the dementia diagnosis and up to 3 years after the diagnosis. METHODS: Partners of persons with dementia and a matched control group of partners of persons without dementia were identified in the routinely recorded electronic health records of 451 Dutch general practices in 2008-2015. These data were used to examine the prevalence of the partners' health problems. Differences between these partners and comparison partners in the prevalence of 16 groups of health problems (diagnostic chapters) and in the frequency of GP contacts were examined using generalized estimating equation models. RESULTS: 1,711 partners of persons with dementia and 6,201 comparison partners were included in the analyses. Social problems, more specifically problems related to the illness and/or the loss of the partner, were significantly more prevalent in partners than in comparison partners across the years (p < 0.01), as were musculoskeletal problems (p < 0.01). Respiratory and psychological problems increased over time in partners and remained stable in comparison partners. Across the years, partners contacted their GP more often than comparison partners (p < 0.01). DISCUSSION/CONCLUSION: Having a cohabiting partner with dementia has consequences for caregiver's physical and psychosocial health. The specific health problems found in this study and the increase in GP contacts might be relevant indicators of overburdening in partners of persons with dementia.

The use of out-of-hours primary care during the first year of the COVID-19 pandemic.

BACKGROUND: In the Netherlands, General Practitioners (GP) are usually the first point of contact with a health professional for most health problems. Out-of-hours (OOH) primary care is provided by regional OOH services. Changes in consultation rates at OOH services may be regarded as a warning system for failures elsewhere in the healthcare system. Therefore in this study, we investigated how the COVID-19 pandemic changed the use of primary care OOH services during the first year of the pandemic. METHODS: Routine electronic health records data were used from 60% of OOH services in the Netherlands, collected by the Nivel Primary Care Database. We compared consultation rates per week (2020) for COVID-19-like symptoms and other health problems (e.g. small traumas, urinary tract infections), for different age groups, the proportion of remote consultations, and different levels of urgency during the pandemic compared to the same period in 2019. RESULTS: The number of consultations for COVID-19-like symptoms peaked at the start of the COVID-19 pandemic, while consultations for other health problems decreased. These changes in consultation rates differed between age groups. Remote consultations took place more frequently for all health problems, while the proportion of non-urgent health problems increased. CONCLUSION: There were significant changes in the number of consultations and the proportion that were remote for COVID-19-like symptoms and other health problems. Especially care for babies and young children decreased, while the number of consultations for older adults remained stable. The continued use of OOH services by older adults suggests there were unmet care needs elsewhere in our healthcare system.

Psychotropic drug prescription rates in primary care for people with dementia from recorded diagnosis onwards.

BACKGROUND: Psychotropic drugs are frequently prescribed to people with dementia in nursing homes although severe adverse events and side effects are common. Less is known about the prevalence and types of psychotropic drug prescription in primary care for people with dementia. OBJECTIVE: This study examined the prevalence of psychotropic drug prescriptions in primary care among persons with dementia from the year of diagnosis onwards. METHODS: A longitudinal observational study using electronic health record (EHR) data was conducted. People with dementia were selected from EHR data of 451 general practices in the Netherlands. Age and gender-adjusted psychotropic drug prescription rates were calculated per 1000 person-years from the year the dementia diagnosis was first recorded in general practice up to 8 years after diagnosis. RESULTS: Data of 15,687 patients were analyzed. The prescription rate of psychotropic drugs (not including antidementia drugs) was 420 per 1000 person-years (95% CI 409; 431) in the first year after the recorded dementia diagnosis, which increased to 801 per 1000 person-years (95% CI 649; 989) in the eighth year. The most frequently prescribed drugs were antidepressants, antipsychotics, and antidementia drugs, followed by anxiolytics, hypnotics, and antiepileptics. CONCLUSIONS: After a dementia diagnosis is recorded in general practice, the prevalence of psychotropic drug prescriptions is substantial and increases steadily during the disease trajectory of persons with dementia. Although the (in)appropriateness of prescribing was not assessed, these insights may stimulate primary care clinicians to (re)consider their prescription policy of psychotropics for people with dementia more carefully.

Immediate and long-term health impact of exposure to gas-mining induced earthquakes and related environmental stressors.

BACKGROUND: Little is known about the public health impact of chronic exposure to physical and social stressors in the human environment. Objective of this study was to investigate the immediate and long-term health effects of living in an environment with gas-mining induced earthquakes and related stressors in the Netherlands. METHODS: Data on psychological, somatic and social problems recorded routinely in electronic health records by general practitioners during a 6-year period (2010-2015) were combined with socioeconomic status and seismicity data. To assess immediate health effects of exposure to ML≥1.5 earthquakes, relative risk ratios were calculated for patients in the week of an earthquake and the week afterwards, and compared to the week before the earthquake. To analyse long-term health effects, relative risks of different groups, adjusted for age, sex and socioeconomic status, were computed per year and compared. RESULTS: Apart from an increase in suicidality, few immediate health changes were found in an earthquake week or week afterwards. Generally, the prevalence of health problems was higher in the mining province in the first years, but dropped to levels equal to or even below the control group in subsequent years, with lower relative risks observed in more frequently exposed patients. CONCLUSIONS: From a public health perspective, the findings are fascinating. Contrary to our expectation, health problems presented in general practice in the earthquake province decreased during the study period. More frequently exposed populations reported fewer health issues to general practitioners, which might point at health adaptation to chronic exposure to stressors.

Income-related differences in out-of-hours primary care telephone triage using national registration data.

BACKGROUND: Telephone triage is used to facilitate efficient and adequate acute care allocation, for instance in out-of-hours primary care services (OPCSs). Remote assessment of health problems is challenging and could be impeded by a patient's ambiguous formulation of his or her healthcare need. Socioeconomically vulnerable patients may experience more difficulty in expressing their healthcare need. We aimed to assess whether income differences exist in the patient's presented symptoms, assessed urgency and allocation of follow-up care in OPCS. METHOD: Data were derived from Nivel Primary Care Database encompassing electronic health record data of 1.3 million patients from 28 OPCSs in 2017 in the Netherlands. These were linked to sociodemographic population registry data. Multilevel logistic regression analyses (contacts clustered in patients), adjusted for patient characteristics (eg, age, sex), were conducted to study associations of symptoms, urgency assessment and follow-up care with patients' income (standardised for household size as socioeconomic status (SES) indicator). RESULTS: The most frequently presented symptoms deduced during triage slightly differed across SES groups, with a larger relative share of trauma in the high-income groups. No SES differences were observed in urgency assessment. After triage, low income was associated with a higher probability of receiving telephone advice and home visits, and fewer consultations at the OPCS. CONCLUSIONS: SES differences in the patient's presented symptom and in follow-up in OPCS suggest that the underlying health status and the ability to express care needs affect the telephone triage process . Further research should focus on opportunities to better tailor the telephone triage process to socioeconomically vulnerable patients.

Socioeconomic inequalities in out-of-hours primary care use: an electronic health records linkage study.

BACKGROUND: Low socioeconomic position (SEP) is related to higher healthcare use in out-of-hours primary care services (OPCSs). We aimed to determine whether inequalities persist when taking the generally poorer health status of socioeconomically vulnerable individuals into account. To put OPCS use in perspective, this was compared with healthcare use in daytime general practice (DGP). METHODS: Electronic health record (EHR) data of 988 040 patients in 2017 (251 DGPs, 27 OPCSs) from Nivel Primary Care Database were linked to socio-demographic data (Statistics, The Netherlands). We analyzed associations of OPCS and DGP use with SEP (operationalized as patient household income) using multilevel logistic regression. We controlled for demographic characteristics and the presence of chronic diseases. We additionally stratified for chronic disease groups. RESULTS: An income gradient was observed for OPCS use, with higher probabilities within each lower income group [lowest income, reference highest income group: odds ratio (OR) = 1.48, 95% confidence interval (CI): 1.45-1.51]. Income inequalities in DGP use were considerably smaller (lowest income: OR = 1.17, 95% CI: 1.15-1.19). Inequalities in OPCS were more substantial among patients with chronic diseases (e.g. cardiovascular disease lowest income: OR = 1.60, 95% CI: 1.53-1.67). The inequalities in DGP use among patients with chronic diseases were similar to the inequalities in the total population. CONCLUSIONS: Higher OPCS use suggests that chronically ill patients with lower income had additional healthcare needs that have not been met elsewhere. Our findings fuel the debate how to facilitate adequate primary healthcare in DGP and prevent vulnerable patients from OPCS use.

Time from diagnosis to institutionalization and death in people with dementia.

INTRODUCTION: Reliable estimates of time from diagnosis until institutionalization and death in people with dementia from routine nationally representative databases are lacking. METHODS: We selected 9230 people with dementia and 24,624 matched controls from family physicians' electronic records linked with national administrative databases to analyze time until institutionalization and death and associated factors. RESULTS: Median time from recorded diagnosis until institutionalization and until death for people with dementia was 3.9 and 5.0 years, respectively, which was considerably shorter than for controls. Once institutionalized, median time to death was longer for persons with dementia (2.5 years) than for controls (1.2 years). Older age and receiving home care were the strongest predictors of shorter time until institutionalization and death in people with dementia. Gender, cohabitation, migration status, frailty, polypharmacy, and dementia medication were other significant factors. DISCUSSION: The estimates could help to inform patients, their families, and policymakers about probable trajectories.

Calculating incidence rates and prevalence proportions: not as simple as it seems.

BACKGROUND: Incidence rates and prevalence proportions are commonly used to express the populations health status. Since there are several methods used to calculate these epidemiological measures, good comparison between studies and countries is difficult. This study investigates the impact of different operational definitions of numerators and denominators on incidence rates and prevalence proportions. METHODS: Data from routine electronic health records of general practices contributing to NIVEL Primary Care Database was used. Incidence rates were calculated using different denominators (person-years at-risk, person-years and midterm population). Three different prevalence proportions were determined: 1 year period prevalence proportions, point-prevalence proportions and contact prevalence proportions. RESULTS: One year period prevalence proportions were substantially higher than point-prevalence (58.3 - 206.6%) for long-lasting diseases, and one year period prevalence proportions were higher than contact prevalence proportions (26.2 - 79.7%). For incidence rates, the use of different denominators resulted in small differences between the different calculation methods (-1.3 - 14.8%). Using person-years at-risk or a midterm population resulted in higher rates compared to using person-years. CONCLUSIONS: All different operational definitions affect incidence rates and prevalence proportions to some extent. Therefore, it is important that the terminology and methodology is well described by sources reporting these epidemiological measures. When comparing incidence rates and prevalence proportions from different sources, it is important to be aware of the operational definitions applied and their impact.

Examining differences in out-of-hours primary care use in Belgium and the Netherlands: a cross-sectional study.

BACKGROUND: The organizational model of out-of-hours primary care is likely to affect healthcare use. We aimed to examine differences in the use of general practitioner cooperatives for out-of-hours care in the Netherlands and Belgium (Flanders) and explore if these are related to organizational differences. METHODS: A cross-sectional observational study using routine electronic health record data of the year 2016 from 77 general practitioner cooperatives in the Netherlands and 5 general practitioner cooperatives in Belgium (Flanders). Patient age, gender and health problem were analyzed using descriptive statistics. RESULTS: The number of consultations per 1000 residents was 2.3 times higher in the Netherlands than in Belgium. Excluding telephone consultations, which are not possible in Belgium, the number of consultations was 1.4 times higher. In Belgium, the top 10 of health problems was mainly related to infections, while in the Netherlands there were a larger variety of health problems. In addition, the health problem codes in the Dutch top 10 were more often symptoms, while the codes in the Belgian top 10 were more often diagnoses. In both countries, a relatively large percentage of GPC patients were young children and female patients. CONCLUSION: Differences in the use of general practitioner cooperatives seem to be related to the gatekeeping role of general practitioners in the Netherlands and to organizational differences such as telephone triage, medical advice by telephone, financial thresholds and number of years of experience with the system. The information can benefit policy decisions about the organization of out-of-hours primary care.

Assessing the variation in workload among general practitioners in urban and rural areas: An analysis based on SMS time sampling data.

OBJECTIVE: An important reason why general practitioners (GPs) are less inclined to work in rural areas is a perception of a higher workload. This study assesses the differences in the workloads of GPs in rural and urban areas. We used two definitions of rurality, one based on the number of addresses per square kilometre, and a second defined by the expected decline in population. METHODS: We collected time use data over 1 year by sending SMS text messages to Dutch GPs who each participated during a period of 1 week. This data was matched with those from GPs' registration and practice location. Data from 596 self-employed GPs were analysed using descriptive statistics and multiple regression analyses. RESULTS: In group practices, the patient list size of rural GPs was, on average, 231 patients more than those of urban GPs. They worked 3.5 more hours per week, with 2.6 more hours directly related to patients. A small significant relation was found between degree of urbanisation and the dependent variables list size and working hours. Working in a depopulation area had no significant effect on the workload indicators. Furthermore, GPs in group practices worked significantly fewer hours, and had smaller list sizes, than GPs in single-handed practices. CONCLUSION: The results show that the assumption of a higher workload in rural practices does not completely match the objective workload of GPs in these areas. Rural GPs have a higher workload in certain cases, but the type of a practice seems a more important determinant.

Does shared decision-making reduce antibiotic prescribing in primary care?

Background: Increasing antibiotic resistance is recognized as a major threat to global health and is related to antibiotic prescription rates in primary care. Shared decision-making (SDM), the process in which patients and doctors participate together in making decisions, is argued to possibly promote more appropriate use of antibiotics and reduce prescribing. However, it is unknown whether in practice fewer antibiotics are prescribed where more SDM takes place. Objectives: To investigate whether more SDM is related to less antibiotic prescribing and whether this relationship differs between subgroups of patients (male/female and age groups). Patients and methods: A questionnaire survey was conducted among 2670 members of the Dutch Health Care Consumer Panel to measure SDM (response rate 45%). Average practice-level SDM scores were calculated for 15 general practices. Data from routine electronic health records of 8192 adult patients of these general practices participating in the Nivel Primary Care Database were used to assess relevant illness episodes (acute cough, acute rhinosinusitis and urinary tract infection), the indication for antibiotics and antibiotic prescriptions. Logistic multilevel regression analyses were performed to investigate the relationship between practice-level SDM and patient-level antibiotic prescriptions. Results: In practices where more SDM takes place, general practitioners prescribed fewer antibiotics for adult patients under the age of 40 years in preference-sensitive situations (i.e. situations in which antibiotics could be considered according to clinical guidelines). Conclusions: SDM can be a framework to reduce the prescribing of antibiotics and thus to control antibiotic resistance.

The role of health literacy in explaining the association between educational attainment and the use of out-of-hours primary care services in chronically ill people: a survey study.

BACKGROUND: Low socioeconomic status (SES) is persistently associated with poor health and suboptimal use of healthcare services, and more unplanned healthcare use. Suboptimal use of emergency and acute healthcare services may increase health inequalities, due to late diagnosis or lack of continuity of care. Given that health literacy has been associated with healthcare utilisation and with education attainment, we sought to explore whether health literacy is related to the use of out-of-hours (OOH) Primary Care Services (PCSs). Additionally, we aimed to study whether and to what extent health literacy accounts for some of the association between education and OOH PSC use. METHODS: A survey including measures of education attainment, health literacy (assessed by means of the Dutch version of the nine-dimension Health Literacy Questionnaire) and use of PCS was conducted among a sample of adults diagnosed with (any) somatic chronic condition in the Netherlands (response 76.3%, n = 1811). We conducted linear and logistic regression analyses to examine associations between education level and PCS use in the past year. We performed mediation analyses to assess whether the association between education and PCS use was (partly) explained by different aspects of health literacy. We adjusted the models for patient characteristics such as age and morbidity. RESULTS: Higher education attainment was associated with higher scores on the health literacy aspects Appraisal of health information, and Navigating the healthcare system. Additionally, appraisal and navigating the healthcare system partially accounted for educational differences in PCS use. Finally, higher appraisal of health information scores were associated with higher PCS utilisation. CONCLUSION: Several aspects of health literacy were demonstrated to relate to PCS use, and partly accounted for educational differences herein. Accordingly, developing health literacy within individuals or communities may help to reduce inappropriate PCS use among people with low education.

Recording of weight in electronic health records: an observational study in general practice.

BACKGROUND: Routine weight recording in electronic health records (EHRs) could assist general practitioners (GPs) in the identification, prevention, and management of overweight patients. However, the extent to which weight management is embedded in general practice in the Netherlands has not been investigated. The purpose of this study was to evaluate the frequency of weight recording in general practice in the Netherlands for patients who self-reported as being overweight. The specific objectives of this study were to assess whether weight recording varied according to patient characteristics, and to determine the frequency of weight recording over time for patients with and without a chronic condition related to being overweight. METHODS: Baseline data from the Occupational and Environmental Health Cohort Study (2012) were combined with data from EHRs of general practices (2012-2015). Data concerned 3446 self-reported overweight patients who visited their GP in 2012, and 1516 patients who visited their GP every year between 2012 and 2015. Logistic multilevel regression analyses were performed to identify associations between patient characteristics and weight recording. RESULTS: In 2012, weight was recorded in the EHRs of a quarter of patients who self-reported as being overweight. Greater age, lower education level, higher self-reported body mass index, and the presence of diabetes mellitus, chronic obstructive pulmonary disease, and/or cardiovascular disorders were associated with higher rates of weight recording. The strongest association was found for diabetes mellitus (adjusted OR = 10.3; 95% CI [7.3, 14.5]). Between 2012 and 2015, 90% of patients with diabetes mellitus had at least one weight measurement recorded in their EHR. In the group of patients without a chronic condition related to being overweight, this percentage was 33%. CONCLUSIONS: Weight was frequently recorded for overweight patients with a chronic condition, for whom regular weight measurement is recommended in clinical guidelines, and for which weight recording is a performance indicator as part of the payment system. For younger patients and those without a chronic condition related to being overweight, weight was less frequently recorded. For these patients, routine recording of weight in EHRs deserves more attention, with the aim to support early recognition and treatment of overweight.