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BackgroundFollow-up for cancer typically occurs in secondary care, and improved survival has increased demands on these services. Other care models may alleviate this burden, such as moving (parts of) follow-up care for curatively treated patients from secondary to primary care (care substitution).AimTo explore the opinions of GPs regarding the potential benefits, barriers, and requirements of care substitution for breast and colorectal cancer.Design and settingA qualitative study of the opinions of purposively sampled GPs in Dutch primary care.MethodFocus group sessions and individual semi-structured interviews were recorded and transcribed verbatim. Data were analysed by two independent researchers using thematic analysis.ResultsTwo focus groups (n = 14) were conducted followed by nine individual interviews. Three main themes were identified: perceived benefits, perceived barriers, and perceived requirements. Perceived benefits included better accessibility and continuity of care, and care closer to patients’ homes. Uncertainty about cancer-related competences and practical objections were perceived as barriers. Requirements included close specialist collaboration, support from patients for this change, and stepwise implementation to avoid loss of existing care quality.ConclusionMost GPs reported that they were not in favour of complete care substitution, but that primary care could have greater formal involvement in oncological follow-up if there is close collaboration with secondary care (that is, shared care), support from patients, sufficient resource allocation, stepwise implementation with clear guidelines, and monitoring of quality. Clear and broadly supported protocols need to be developed and tested before implementing follow-up in primary care.

Item does not contain fulltext PURPOSE: Insights into the severity of co-existing symptoms can help in identifying breast cancer survivors in need of symptom management. We aimed to identify subgroups of breast cancer survivors based on patterns of symptom severity, and characteristics associated with these subgroups. METHODS: We selected surgically treated stage I-III breast cancer survivors 1-5 years post-diagnosis from the Netherlands Cancer Registry (N = 876). We assessed experienced severity of fatigue, nausea, pain, dyspnea, insomnia, appetite, constipation, diarrhea, and emotional and cognitive symptoms through the EORTC-QLQ-C30 Quality of Life Questionnaire on a scale of 0-100. We determined subgroups of survivors using latent class cluster analyses (LCA) based on severity of co-existing symptoms and compared their mean severity to the age-matched female reference population to interpret clinical relevance. We assessed subgroup characteristics by multinomial logistic regression analyses. RESULTS: From 404 respondents (46%), three subgroups of survivors with distinct symptom severity were identified: low severity (n = 116, 28.7%), intermediate severity (n = 224, 55.4%), and high severity (n = 59, 14.6%). The low subgroup reported lower symptom severity than the general population; the intermediate subgroup reported a similar symptom severity, although scores for fatigue, insomnia, and cognitive symptoms were worse (small-medium clinical relevance). The high subgroup had worse symptom severity (medium-large clinical relevance). Compared to the intermediate subgroup, one (RRR: 2.75; CI: 1.22-6.19; p = 0.015) or more (RRR: 9.19; CI: 3.70-22.8; p =

Introduction: Long-term survival after childhood cancer often comes at the expense of late, adverse health conditions. However, survivorship care is frequently not available for adult survivors in Europe. The PanCareFollowUp Consortium therefore developed the PanCareFollowUp Care Intervention, an innovative person-centred survivorship care model based on experiences in the Netherlands. This paper describes the protocol of the prospective cohort study (Care Study) to evaluate the feasibility and the health economic, clinical and patient-reported outcomes of implementing PanCareFollowUp Care as usual care in four European countries.Methods and analysis In this prospective, longitudinal cohort study with at least 6 months of follow-up, 800 childhood cancer survivors will receive the PanCareFollowUp Care Intervention across four study sites in Belgium, Czech Republic, Italy and Sweden, representing different healthcare systems. The PanCareFollowUp Care Intervention will be evaluated according to the Reach, Effectiveness, Adoption, Implementation and Maintenance framework. Clinical and research data are collected through questionnaires, a clinic visit for multiple medical assessments and a follow-up call. The primary outcome is empowerment, assessed with the Health Education Impact Questionnaire. A central data centre will perform quality checks, data cleaning and data validation, and provide support in data analysis. Multilevel models will be used for repeated outcome measures, with subgroup analysis, for example, by study site, attained age, sex or diagnosis.Ethics and dissemination This study will be conducted in accordance with the guidelines of Good Clinical Practice and the Declaration of Helsinki. The study protocol has been reviewed and approved by all relevant ethics committees. The evidence and insights gained by this study will be summarised in a Replication Manual, also including the tools required to implement the PanCareFollowUp Care Intervention in other countries. This Replication Manual will become freely available through PanCare and will be disseminated through policy and press releases.Trial registration number Netherlands Trial Register (NL8918; https://www.trialregister.nl/trial/8918)., + ID der Publikation: unilu_61784 + Sprache: Englisch + Letzte Aktualisierung: 2022-11-30 17:16:31

ObjectivesHeart failure (HF) is a commonly occurring health problem with high mortality and morbidity. If potential cases could be detected earlier, it may be possible to intervene earlier, which may slow progression in some patients. Preferably, it is desired to reuse already measured data for screening of all persons in an age group, such as general practitioner (GP) data. Furthermore, it is essential to evaluate the number of people needed to screen to find one patient using true incidence rates, as this indicates the generalisability in the true population. Therefore, we aim to create a machine learning model for the prediction of HF using GP data and evaluate the number needed to screen with true incidence rates.Design, settings and participantsGP data from 8543 patients (−2 to −1 year before diagnosis) and controls aged 70+ years were obtained retrospectively from 01 January 2012 to 31 December 2019 from the Nivel Primary Care Database. Codes about chronic illness, complaints, diagnostics and medication were obtained. Data were split in a train/test set. Datasets describing demographics, the presence of codes (non-sequential) and upon each other following codes (sequential) were created. Logistic regression, random forest and XGBoost models were trained. Predicted outcome was the presence of HF after 1 year. The ratio case:control in the test set matched true incidence rates (1:45).ResultsSole demographics performed average (area under the curve (AUC) 0.692, CI 0.677 to 0.706). Adding non-sequential information combined with a logistic regression model performed best and significantly improved performance (AUC 0.772, CI 0.759 to 0.785, pConclusionThis study created a model able to identify patients with pending HF a year before diagnosis.

(1) Background: Cardiometabolic diseases are the most common cause of death worldwide. As part of a collaborative European study, this paper aims to explore the implementation of primary care selective-prevention services in five European countries. We assessed the implementation process of the selective-prevention services, participants&rsquo, cardiometabolic profile and risk and participants&rsquo, evaluation of the services, in terms of feasibility and impact in promoting a healthy lifestyle. (2) Methods: Eligible participants were primary care patients, 40&ndash, 65 years of age, without any diagnosis of cardiometabolic disease. Two hundred patients were invited to participate per country. The extent to which participants adopted and completed the implementation of selective-prevention services was recorded. Patient demographics, lifestyle-related cardiometabolic risk factors and opinions on the implementation&rsquo, s feasibility were also collected. (3) Results: Acceptance rates varied from 19.5% (n = 39/200) in Sweden to 100% (n = 200/200) in the Czech Republic. Risk assessment completion rates ranged from 65.4% (n = 70/107) in Greece to 100% (n = 39/39) in Sweden. On a ten-point scale, the median (25&ndash, 75% quartile) of participant-reported implementation feasibility ranged from 7.4 (6.9&ndash, 7.8) in Greece to 9.2 (8.2&ndash, 9.9) in Sweden. Willingness to change lifestyle exceeded 80% in all countries. (4) Conclusions: A substantial variation in the implementation of selective-prevention receptiveness and patient risk profile was observed among countries. Our findings suggest that the design and implementation of behavior change cardiometabolic programmes in each country should be informed by the local context and provide some background evidence towards this direction, which can be even more relevant during the current pandemic period.

Background Compared to men, women have lower treatment rates for cardiovascular disease (CVD), are at higher risk for medication non-adherence and have different reasons for being non-adherent. The aim of this study was to synthesize and evaluate gender-specific adherence-promoting interventions for cardiovascular medication and gender-specific effects of gender-neutral interventions. Methods A systematic literature search was performed in PubMed, Embase, PsycINFO, CINAHL and Cochrane Library from January 2007 to October 2019. Intervention studies (with control group) aimed at improving cardiovascular medication adherence with minimally 14 weeks follow-up were included. Two reviewers independently screened titles and abstracts. Full text was obtained for selected abstracts and screened for final inclusion. Data extraction included gender-specific targeting or analysis. Results The search identified 6502 citations. After screening title and abstract, full text was obtained from 127 potentially eligible articles. Ultimately, 11 articles were included that analyzed gender differences in gender-neutral interventions. Two reported a gender-specific intervention effect. Using an electronic reminder device, one study increased statin adherence in women. The other found a larger increase in adherence to CVD medication following telephone counseling for men than women. Nine studies did not identify a gender-specific effect. Conclusion Despite differences in levels of and reasons for non-adherence, most studies addressing adherence did not analyze potential differences in effect by gender. Moreover, none of the identified studies used gender-specific adherence promoting interventions. Increasing awareness about gender differences in adherence might lead to better tailoring of interventions to gender-specific needs and better results in improving adherence.

Background Falls are an increasing problem among older people. There are several evidence-based interventions available to prevent falls. However, these are not always well implemented in the primary care setting. General practitioners (GPs) are often the first point of contact for health issues, making them the designated professionals for providing falls prevention. Because GPs are often unaware which patients have a high fall risk and patients themselves do not always know they have a high fall risk, this study aims to evaluate the implementation of a targeted fall risk screening strategy among independently living, frail older people in the primary care setting. Materials and methods The targeted fall risk screening strategy used in this study consists of tools for screening high fall risk and for identifying the underlying cause(s) of the high fall risk, an accredited training course in falls prevention for professionals, and service provision by certified physio- and exercise therapists who are able to offer evidence-based falls prevention interventions. This targeted fall risk screening strategy will be implemented in the primary care setting and evaluated at the level of the GP practice and at the level of the patient by using the RE-AIM model of Glasgow et al. In a pre-posttest design, data will be collected of the total number of frail older people who are screened, referred and enrolled for fall-preventive care. Furthermore, barriers and facilitators of the implementation of the fall risk screening strategy will be identified by conducting focus groups and interviews with the care providers and frail older patients. Additionally, the influence of the falls prevention interventions on frail older patients will be evaluated by using a pre-posttest design with a 12-month follow-up period during which data are collected regarding patients' stability, mobility, strength, balance, self-efficacy, health status, and daily activities. Study registration This study is approved by the Medical Ethics Committee Brabant, the Netherlands (NL61582.028.17/ P1732) and registered at the Netherlands Trial Register, NL7917.

Background: Patients with primary hypothyroidism are treated with levothyroxine (LT4) to normalize their serum thyrotropin (TSH). Finding the optimal dosage is a long-lasting process, and a small change can have major impact. Currently, limited data are available on the impact of dose-equivalent substitution between brands. This study aimed to determine the effect of the shortage of the LT4 brand Thyrax® in the Netherlands and the resulting dose-equivalent switch to another brand on plasma TSH concentrations in a large cohort of patients. Methods: Observational cohort study. Two registries representative for the Dutch population containing prescription and laboratory test data: the Nivel Primary Care Database and the PHARMO Database Network. Patients using at least 25 μg Thyrax daily for one year or longer were included. Two cohorts were formed: a switch cohort consisting of patients who switched from Thyrax to an alternative brand, and a Thyrax cohort including patients who continued to use Thyrax. Patients in the switch cohort did switch from Thyrax to a different brand of LT4 in 2016 and had two consecutive TSH measurements on the same dose of LT4, one before and one 6 weeks after the switch. Patients in the Thyrax cohort had two consecutive TSH measurements on the same dose of Thyrax that were 6 weeks apart. Results: In the Thyrax cohort, 19% of euthyroid patients using ≤100 μg had a TSH level outside the reference range at the subsequent measurement compared with 24% in the switch cohort (p < 0.0001). For patients using >100 μg Thyrax, these figures were 24% and 63%, respectively (p < 0.0001). Furthermore, patients using >50 μg Thyrax were four to five times more likely to become hyperthyroid after a dose-equivalent switch to a different brand compared with patients who stayed on Thyrax. Conclusions: In euthyroid patients continuing the LT4 product Thyrax at the same dose, TSH was out of range in 19-24% at least 6 weeks later. A dose-equivalent switch from Thyrax to other LT4 brands induced biochemical signs of overdosing in an even larger proportion (24-63%) of patients. The results indicate that a dose-equivalent LT4 brand switch may necessitate a dose adjustment in a large number of patients.

Background A proactive person-centred care process is advocated for people with multimorbidity. To that aim, general practitioners may benefit from support in the identification of high-need patients, i.e. patients who are high or suboptimal users of health services and/or have a poor quality of life. To develop such support, we examined whether knowledge about patients’ illness perceptions and personal resources to manage their health and care is useful to identify high-need patients among multimorbid general practice populations. Methods Survey data, collected in 2016 and 2017, of 601 patients with two or more chronic diseases (e.g. COPD, diabetes, Parkinson’s disease) registered with 40 general practices in the Netherlands were analysed by logistic regression analysis to predict frequent contact with the general practice, contact with general practice out-of-office services, unplanned hospitalisations and poor health related quality of life. Patients’ illness perceptions and personal resources (education, health literacy, mastery, mental health status, financial resources, social support) were included as predictors. Results The four outcomes were only weakly associated among themselves (Phi .07–.19). Patients’ illness perceptions and personal resources were of limited value to predict potentially suboptimal health service use, but they were important predictors of health related quality of life. Patients with a poor health related quality of life could be identified by their previously reported illness perceptions (attributing many symptoms to their chronic conditions (B = 1.479, P P = .002) and little perceived control over their illness (B = -0.728, P = .006)) combined with an experienced lack of social support (B = -0.527, P = .042) and a poor mental health status (B = -0.966, P = .001) (sensitivity 80.7%; specificity 68.1%). Conclusions Multimorbid patients who frequently contact the general practice, use general practice out-of-office services, have unplanned hospitalisations or a poor health related quality of life are largely distinct high-need subgroups. Multimorbid patients at risk of developing a poor quality of life can be identified from specific illness beliefs, a poor mental health status and unmet social needs.

SamenvattingUtrecht Overvecht is een achterstandswijk met ruim 34.000 inwoners. Veel inwoners (18%) hebben een bijstandsuitkering en de ervaren gezondheid is laag. Professionals uit de eerstelijnszorg en het sociale domein werken samen in de wijkaanpak Krachtige basiszorg. Gezamenlijk bieden zij geïntegreerde persoonsgerichte zorg dicht bij huis voor mensen met een stapeling van medische en sociaal-maatschappelijke problemen. Professionals zijn enthousiast omdat zij betere zorg kunnen bieden door samenwerking, maar zien ook ruimte voor verbetering.

Achtergrond Overlevenden van kinderkanker zijn op jonge leefijd blootgesteld aan cytostatische behandelingen, zoals chemotherapie en bestraling. Daardoor hebben ze later in het leven kans op het ontwikkelen van gezondheidsproblemen. Ook huisartsen krijgen te maken met de complexe zorg voor deze groep patienten. Doel We beogen met ons onderzoek te realiseren dat huisartsen de beschikbare kennis weten te vinden over late effecten van de behandeling, opdat de zorg voor deze proeg patienten verbetert.

Background The number of requests for euthanasia has increased since the Termination of Life on Request and Assisted Suicide (Review Procedures) Act entered into force. The Nivel investigated the underlying reasons for this. Method Relevant scientific articles and reports from the Netherlands and Belgium from 2003-2019 were analysed. Results A potential explanation is the ageing population: the number of older individuals has increased and hence also the number of requests for euthanasia. Moreover, a higher proportion of older individuals are requesting euthanasia and more requests are approved than in the past. A second explanation is the growing acceptance of euthanasia among the Dutch population: in 2002 12% of the Dutch population was against euthanasia, in 2016 only 5%. A third explanation is the greater involvement of general practitioners in end-of-life care, the increased willingness to comply with a request for euthanasia, and increased possibilities for doctors who are unwilling or unable to perform euthanasia to refer patients to other doctors. Lastly, in recent years more patients die of cancer than of cardiovascular causes, and cancer is a common reason to request euthanasia, whereas cardiovascular disorders are not. Conclusion The increase in the number of requests for euthanasia over the last 15 years is due to a combination of factors.

Background: Women with breast cancer can experience a variety of late adverse effects, depending on age, treatment and time since diagnosis. We developed a nomogram that predicts which symptoms and diseases are likely to occur in breast cancer survivors up to 15 years after diagnosis. Methods: Data from the Netherlands Cancer Registry and NIVEL Primary Care Database were combined in the Primary-Secondary Cancer Care Registry, containing data about the cancer diagnosis/treatment and data from the primary care electronic health records of 12.850 Dutch women diagnosed with breast cancer between 2000-2016. From Nivel Primary Care Database 25.700 control women without breast cancer were obtained. First, Cox regression models were built, stratified by 4 age groups and 2 time windows (1-5 and 5-15 years after diagnosis), in order to determine which symptoms and diseases were more frequently experienced in cases compared to controls (p-value Citation Format: Marianne J. Heins, Kelly M. De Ligt, Janneke Verloop, Sabine Siesling, Joke C. Korevaar. Predicting symptoms and diseases after breast cancer treatment: Development of a nomogram [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-13-21.

Background: Patients with multimorbidity who frequently contact the general practice, use emergency care or have unplanned hospitalisations, may benefit from a proactive integrated care intervention. General practitioners are not always aware of who these ‘high need’ patients are. Electronic medical records are a potential source to identify them. Objectives: To find predictors of high care needs in general practice electronic medical records of patients with multimorbidity and assess their predictive value. Methods: General practice electronic medical records of 245,065 patients with ≥2 chronic diseases were linked to hospital claims data. Probit regression analysis was conducted to predict i) having at least 12 general practice contacts per year, ii) emergency department visit(s), and iii) unplanned hospitalisation(s). Predictors were patients’ age, sex, morbidity, health services and medication use in the previous year. Results: 11% of multimorbid patients had ≥12 general practice contacts, which could be reliably predicted by the number of contacts in the previous year (PPV 42%). The model containing all predictors had only slightly better predictive value (PPV 44%). Emergency department visits and unplanned hospitalisations (12% and 7% of multimorbid patients, respectively) could be predicted less accurately (PPV 27% and 20%). Those with frequent contact with the general practice hardly overlapped with ED visitors (29%) or persons with unplanned hospitalisations (17%). Conclusion: Among multimorbid populations various ‘high need’ groups exist. Patients with high needs for general practice care can be identified by their previous use of general practice care. To identify frequent ED visitors and persons with unplanned hospitalisations, additional information is needed.

Purposes Studies investigating self-reported long-term morbidity in childhood cancer survivors (CCS) are using heterogeneous outcome definitions, which compromises comparability and include (un)treated asymptomatic and symptomatic outcomes. We generated a Dutch LATER core set of clinically relevant physical outcomes, based on self-reported data. Clinically relevant outcomes were defined as outcomes associated with clinical symptoms or requiring medical treatment. Methods First, we generated a draft outcome set based on existing questionnaires embedded in the Childhood Cancer Survivor Study, British Childhood Cancer Survivor Study, and Dutch LATER study. We added specific outcomes reported by survivors in the Dutch LATER questionnaire. Second, we selected a list of clinical relevant outcomes by agreement among a Dutch LATER experts team. Third, we compared the proposed clinically relevant outcomes to the severity grading of the Common Terminology Criteria for Adverse Events (CTCAE). Results A core set of 74 self-reported long-term clinically relevant physical morbidity outcomes was established. Comparison to the CTCAE showed that 36% of these clinically relevant outcomes were missing in the CTCAE. Implications for Cancer Survivors This proposed core outcome set of clinical relevant outcomes for self-reported data will be used to investigate the self-reported morbidity in the Dutch LATER study. Furthermore, this Dutch LATER outcome set can be used as a starting point for international harmonization for long-term outcomes in survivors of childhood cancer.

Contains fulltext : 248815.pdf (Publisher’s version ) (Open Access) BACKGROUND: Long-term follow-up (LTFU) care, although endorsed, is not available for the majority of adult survivors of childhood, adolescence and young adult (CAYA) cancer. Barriers to implementation include lack of time, knowledge, personnel and funding. Sustainable solutions are urgently needed to address the needs of CAYA cancer survivors to improve the quality of life and reduce the burden of late effects on survivors, health care systems and society. The European Union-funded PanCareFollowUp project, initiated by the Pan-European Network for Care of Survivors after Childhood and Adolescent Cancer, was established to facilitate the implementation of person-centred survivorship care across Europe. PATIENTS AND METHODS: The PanCareFollowUp Care Intervention was co-developed with survivors as part of the PanCareFollowUp project. It is a person-centred approach to survivorship care, supported by guidelines and with flexibility to adapt to local health care settings. The Care Intervention consists of three steps: (1) previsit completion of a Survivor Questionnaire (by the survivor) and Treatment Summary (by the health care provider [HCP]), (2) a clinic visit including shared decision-making, and (3) a follow-up call to finalise the individualised Survivorship Care Plan. RESULTS: We developed the key components of the PanCareFollowUp Care Intervention: a PanCareFollowUp Survivor Questionnaire, Treatment Summary template, Survivorship Care Plan template, and educational materials for HCPs and survivors. Wide implementation of the PanCareFollowUp Care Intervention will be supported with a freely distributed Replication Manual on completion of the PanCareFollowUp project. CONCLUSIONS: The PanCareFollowUp Care Intervention will support the implementation of person-centred, guideline-based LTFU care in different health care settings across Europe to improve survivors' health and well-being.

Wytske MA Meekes,1,2 Chantal J Leemrijse,2 Joke C Korevaar,2 Emma K Stanmore,3 Lamberdina (Ien) AM van de Goor1 1Tranzo, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands; 2Nivel, Utrecht, Netherlands; 3School of Health Sciences, University of Manchester, Manchester, UK and Manchester Academic Health Science Centre (MAHSC), Manchester, UKCorrespondence: Wytske MA Meekes, Tranzo, Tilburg School of Social and Behavioral Sciences, Tilburg University, Postbus 90153, Tilburg, 5000 LE, Netherlands, Tel +31 13 466 4451, Email w.m.a.meekes@tilburguniversity.eduPurpose: Limited information is available concerning primary care providers’ encountered barriers and facilitators when implementing falls prevention and providing interventions in a real-life setting. This study aimed to identify barriers and facilitators when i) implementing a falls risk assessment strategy at GP practices and among community nurses and ii) providing evidence-based falls prevention interventions in a real-life setting to independently living, frail older people.Methods: A researcher’s journal was maintained during the implementation of a falls risk assessment strategy, which entailed notes from informal conversations with GPs, practice nurses and community nurses. After implementation, two online focus groups with GPs, practice and community nurses, physio- and exercise therapists were conducted. Data were thematically analyzed.Results: Data were collected from 32 GPs, 13 practice nurses, eight community nurses, nine physiotherapists, and two exercise therapists. The GPs and nurses acknowledged that falls prevention is part of their job, meaningful, and that they have sufficient knowledge and skills to offer falls prevention. Collaboration, a previously implemented care program for older people, resources, reimbursement for interventions, and patients’ motivation, awareness and health issues were considered to be important factors for the implementation of falls prevention. Physio- and exercise therapists described collaboration with different disciplines, receiving sufficient referrals, reimbursements, intensity and set-up of the interventions, and patients’ motivation, expectations, goals, self-confidence, awareness, and health issues as important factors when providing falls prevention interventions.Conclusion: This study identified care provider-, context-, patient-, and innovation (strategy)-related barriers and facilitators when implementing falls prevention and providing interventions in primary care. Development of a more successful implementation strategy should focus on intensifying collaboration, reimbursement for interventions, availability of resources, and patients’ lack of motivation and health issues. Hence, falls prevention may become more structurally applied, reducing a major threat for the quality of life of independently living older people.Keywords: falls prevention, implementation, barriers and facilitators, frail older people, primary care

BackgroundIn the Dutch atrial fibrillation (AF) guideline for GPs, vitamin K antagonists (VKAs) and direct oral anticoagulants (DOACs) are seen as equivalent, while in cardiology there is a preference for DOACs.AimTo describe the pattern of oral anticoagulant (OAC) prescribing for AF by GPs and assess whether GPs proactively convert between VKAs and DOACs in patients with AF.Design & settingObservational study using routine practice data from 214 general practices, from 2017 until 2019.MethodPatients aged ≥60 years diagnosed with AF, who had been prescribed OACs by their GPs in 2018 were included. A distinction was made between starters, who were participants who did not use OACs in 2017, and prevalent users. It was observed and recorded whether patients switched between VKAs and DOACs.ResultsA total of 12 516 patients with AF were included. Four hundred and seventy-six patients (4%) started OACs in 2018; 12 040 patients were prevalent OAC users. When GPs started patients on OACs, DOACs were prescribed the most (88%). Among prevalent users, more than half of the patients used VKAs (60%). GPs switched between OACs for 1% of starters and 0.6% of prevalent users in 2018 and 2019.ConclusionDutch GPs predominantly start with DOACs in newly diagnosed patients with AF. Prevalent patients predominantly use VKAs and switching from a DOAC to a VKA is unusual. Consequently, the number of patients using VKAs will decline in the upcoming years. This trend raises questions about the future of organising frequent international normalised ratio (INR) checks for VKA users.

Background Guidelines recommend to prescribe a laxative with an opioid to prevent constipation. We aimed to determine the adherence by general practitioners (GPs) to this recommendation and to explore which GP- and patient related factors were associated with it from the perspective of the GP. Methods We conducted an observational study using GPs’ prescription data from the Nivel Primary Care Database combined with a questionnaire asking for reasons of non-adherence. The proportion of first opioid prescriptions prescribed together with a laxative was determined as primary outcome. Possible explanatory factors such as the quality of registration, the level of collaboration with the pharmacy, familiarity with the recommendation and use of a clinical decision support system were explored, as were the self-reported reasons for non-adherence (classified as either GP-related or patient-related). We assessed the association of factors with the primary outcome using univariable multilevel logistic regression analysis. Results The recommendation was measured in 195 general practices. The median proportion of first opioid prescriptions prescribed together with a laxative in these practices was 54% (practice range 18–88%). None of the determinants was consistently associated with the primary outcome. GPs from 211 practices filled out the questionnaire and the most frequently mentioned reason not to prescribe a laxative was that the patient has laxatives in stock, followed by that the patient doesn’t want a laxative; both were patient-related factors. Conclusion There was room for improvement in following the guideline on laxative prescribing in opioid use. A main reason seemed to be that the patient refuses a laxative. Improvement measures should therefore focus on communication between GPs and patients on the relevance of co-using a laxative with opioids. Future studies need to establish the effect of such improvement measures, and determine whether reasons for non-adherence to the guideline changed over time.

ObjectiveAlthough several falls risk assessment tools are available, it is unclear which have been validated and which would be most suitable for primary care practices. This systematic review aims to identify the most suitable falls risk assessment tool for the primary care setting (ie, requires limited time, no expensive equipment and no additional space) and that has good predictive performance in the assessment of falls risk among older people living independently.DesignA systematic review based on prospective studies.MethodsAn extensive search was conducted in the following databases: PubMed, Embase, CINAHL, Cochrane and PsycINFO. Tools were excluded if they required expensive and/or advanced software that is not usually available in primary care units and if they had not been validated in at least three different studies. Of 2492 articles published between January 2000 and July 2020, 27 were included.ResultsSix falls risk assessment tools were identified: Timed Up and Go (TUG) test, Gait Speed test, Berg Balance Scale, Performance Oriented Mobility Assessment, Functional Reach test and falls history. Most articles reported area under the curve (AUC) values ranging from 0.5 to 0.7 for these tools. Sensitivity and specificity varied substantially across studies (eg, TUG, sensitivity:10%–83.3%, specificity:28.4%–96.6%).ConclusionsGiven that none of the falls risk assessment tools had sufficient predictive performance (AUC Trial registraion numberThe Netherlands Trial Register, NL7917; Pre-results.

Background The majority of childhood cancer survivors are at risk of treatment-related adverse health outcomes. Survivorship care to mitigate these late effects is endorsed, but it is not available for many adult survivors of childhood cancer in Europe. The PanCareFollowUp project was initiated to improve their health and quality of life (QoL) by facilitating person-centred survivorship care. Methods The PanCareFollowUp consortium was established in 2018, consisting of 14 project partners from ten European countries, including survivor representatives. The consortium will develop two PanCareFollowUp Interventions, including a person-centred guideline–based model of care (Care Intervention) and eHealth lifestyle coaching (Lifestyle Intervention). Their development will be informed by several qualitative studies and systematic reviews on barriers and facilitators for implementation and needs and preferences of healthcare providers (HCPs) and survivors. Implementation of the PanCareFollowUp Care Intervention as usual care will be evaluated prospectively among 800 survivors from Belgium, Czech Republic, Italy and Sweden for survivor empowerment, detection of adverse health conditions, satisfaction among survivors and HCPs, cost-effectiveness and feasibility. The feasibility of the PanCareFollowUp Lifestyle Intervention will be evaluated in the Netherlands among 60 survivors. Results Replication manuals, allowing for replication of the PanCareFollowUp Care and Lifestyle Intervention, will be published and made freely available after the project. Moreover, results of the corresponding studies are expected within the next five years. Conclusions The PanCareFollowUp project is a novel European collaboration aiming to improve the health and QoL of all survivors across Europe by developing and prospectively evaluating the person-centred PanCareFollowUp Care and Lifestyle Interventions.

Purpose In breast cancer patients, treatment-related health symptoms can occur that may affect their health-related quality of life (HRQoL). This study aimed to determine the impact of health symptoms on HRQoL in breast cancer patients up to 5 years after diagnosis. Methods Females surgically treated for early-stage breast cancer diagnosed between 2012 and 2016 (n = 876) were selected from the Netherlands Cancer Registry and invited for a survey about current health symptoms (‘Symptoms and Perceptions questionnaire’, SaP) and HRQoL (‘EORTC-QLQ-C30’). From the latter, functioning and global health were included. Mean scores were compared to norm population scores (T test). Multivariable linear regression analyses were performed to determine the association between health symptoms and global health and functioning. Results 404 patients (46%) responded. The median age was 62.2 ± 10.9 years. Respondents had significantly lower mean scores for role, cognitive, emotional, and social functioning than the general population. The most frequently reported health symptoms were musculoskeletal (including pain/complaints in lower/upper extremities/back/neck; 71%) and central nervous system symptoms (including concentration impairment, dizziness, neuralgia; 66%), and fatigue (63%). While most symptoms affected functioning, irrespective of time since diagnosis, especially fatigue, musculoskeletal, central nervous system, and gastrointestinal symptoms were significantly associated (p Conclusions The majority of health symptoms that occur after breast cancer treatment were associated with lower functioning of patients in daily life. This paper urges healthcare providers to support breast cancer patients in alleviating or coping with health symptoms, even years after end of treatment, to improve their functioning.

Introduction Traditionally, follow‐up of colorectal cancer (CRC) is performed in secondary care. In new models of care, the screening part care could be replaced to primary care. We aimed to synthesise evidence on the diagnostic accuracy of commonly used screeners in CRC follow‐up applicable in primary care: carcinoembryonic antigen (CEA), ultrasound and physical examination. Methods Medline, EMBASE, Cochrane Trial Register and Web of Science databases were systematically searched. Studies were included if they provided sufficient data for a 2 × 2 contingency tables. QUADAS‐2 was used to assess methodological quality. We performed bivariate random effects meta‐analysis, generated a hypothetical cohort, and reported sensitivity and specificity. Results We included 12 studies (n = 3223, median recurrence rate 19.6%). Pooled estimates showed a sensitivity for CEA (≤ 5 μg/l) of 59% [47%–70%] and a specificity of 89% [80%–95%]. Only few studies reported sensitivities and specificities for ultrasound (36–70% and 97–100%, respectively) and clinical examination (23% and 27%, respectively). Conclusion In practice, GPs could perform CEA screening. Radiological examination in a hospital setting should remain part of the surveillance strategy. Personalised algorithms accounting for recurrence risk and changes of CEA‐values over time might add to the diagnostic value of CEA in primary care.

Background General practitioners (GPs) can be considered the designated professionals to identify high fall risk and to guide older people to fall preventive care. Currently it is not exactly known how GPs treat this risk. This study aims to investigate GPs’ daily practice regarding fall preventive care for frail older patients. Methods Sixty-five GPs from 32 Dutch practices participated in this study for a period of 12 months. When a GP entered specific International Classification of Primary Care-codes related to frailty and/or high fall risk in their Electronic Health Records, a pop-up appeared asking “Is this patient frail?”. If the GP confirmed this, the GP completed a short questionnaire about patient’s fall history and fear of falling (FOF), and the fall preventive care provided. Results The GPs completed questionnaires regarding 1394 frail older patients aged ≥75. Of 20% of these patients, the GPs did not know whether they had experienced a fall or not. The GPs did not know whether a FOF existed in even more patients (29%). Of the patients with a fall history and/or a FOF (N = 726), 37% (N = 271) received fall preventive care. Two main reasons for not offering fall preventive care to these patients were: I) the patient finds treatment too intensive or too much of a hassle (37%), and II) the GP identified a high fall risk but the patient did not acknowledge this (14%). When patients were treated for high fall risk, the GP and the physiotherapist were the most frequently involved health care providers. The involved health care providers most often treated mobility limitations, cardiovascular risk factors, and FOF. Conclusions The results from this study show that GPs were frequently not aware of their frail patient’s fall history and/or FOF and that the majority of the frail older patients with a fall history and/or FOF did not receive fall preventive care. Developing systematic screening strategies for the primary care setting enhancing the identification of high fall risk and the provision of fall preventive care may improve patients’ quality of life and reduce health care costs.

Introduction We aimed to develop an innovative population-based method to estimate the health effect of influenza vaccination based on electronic medical records collected within a general practitioner (GP)-based influenza surveillance system in the Netherlands. Methods In each season between 2006/07 and 2015/16, we fitted multilevel Poisson regression models to compare GP consultation rates for clinically diagnosed influenza, acute respiratory infections (ARI), pneumonia, and lower back pain (as a control) between vaccinated vs. unvaccinated individuals. Season-specific relative risks and 95% confidence intervals (CI) were pooled into summary risk ratio (SRR) through random-effects meta-analysis models. Analyses were stratified by patient age ( Results Overall, 12.6% and 21.4% of study subjects were vaccinated because of their age only or because of an underlying medical condition. Vaccine uptake declined over time, especially among subjects aged ≤74 years with medical indications for vaccination. Vaccinated individuals had significantly higher GP consultation rates for clinically diagnosed influenza (SRR 1.24, 95% CI 1.12–1.38, p-value Discussion Contrary to expectations, influenza vaccinees have GP consultation rates for clinically diagnosed influenza, ARI and pneumonia that are 24–33% higher compared to unvaccinated individuals. The lower back pain finding suggests that the increase in consultation rates is partially caused by confounding. Importantly, considering the data are not laboratory-confirmed, our results cannot be linked directly to influenza, but only to respiratory illnesses in general.

Background Suicidal behaviour is difficult to detect in the general practice. Machine learning (ML) algorithms using routinely collected data might support General Practitioners (GPs) in the detection of suicidal behaviour. In this paper, we applied machine learning techniques to support GPs recognizing suicidal behaviour in primary care patients using routinely collected general practice data. Methods This case-control study used data from a national representative primary care database including over 1.5 million patients (Nivel Primary Care Database). Patients with a suicide (attempt) in 2017 were selected as cases (N = 574) and an at risk control group (N = 207,308) was selected from patients with psychological vulnerability but without a suicide attempt in 2017. RandomForest was trained on a small subsample of the data (training set), and evaluated on unseen data (test set). Results Almost two-third (65%) of the cases visited their GP within the last 30 days before the suicide (attempt). RandomForest showed a positive predictive value (PPV) of 0.05 (0.04–0.06), with a sensitivity of 0.39 (0.32–0.47) and area under the curve (AUC) of 0.85 (0.81–0.88). Almost all controls were accurately labeled as controls (specificity = 0.98 (0.97–0.98)). Among a sample of 650 at-risk primary care patients, the algorithm would label 20 patients as high-risk. Of those, one would be an actual case and additionally, one case would be missed. Conclusion In this study, we applied machine learning to predict suicidal behaviour using general practice data. Our results showed that these techniques can be used as a complementary step in the identification and stratification of patients at risk of suicidal behaviour. The results are encouraging and provide a first step to use automated screening directly in clinical practice. Additional data from different social domains, such as employment and education, might improve accuracy., Highlights • Almost all (93%) suicidal patients had a visit at the GP in the year before the suicide • Machine learning techniques can be applied to routinely available data to make predictions • Predictive algorithms can be used as complementary step in the identification of patients at risk of suicidal behaviour

ObjectivesLittle is known about relevant events in the at-risk phase of rheumatoid arthritis before the development of clinically apparent inflammatory arthritis (IA). The present study assessed musculoskeletal symptoms, infections and comorbidity in future IA patients.MethodsIn a nested case–control study using electronic health records of general practitioners, the frequency and timing of 192 symptoms or diseases were evaluated before a diagnosis of IA, using the International Classification of Primary Care coding system. Cases were 2314 adults with a new diagnosis IA between 2012 and 2016; controls were matched 1:2. The frequency of primary care visits was compared using logistic regression.ResultsThe frequency of visits for musculoskeletal symptoms (mostly of shoulders, wrists, fingers and knees) and carpal tunnel syndrome was significantly higher in IA patients vs controls within the final 1.5 years before diagnosis, with ORs of 3.2 (95% CI 2.8 to 3.5), 2.8 (95% CI 2.5 to 3.1) and 2.5 (95% CI 2.2 to 2.8) at 6, 12 and 18 months before diagnosis, respectively. Also, infections (notably of the genital and urinary tracts), IA-comorbidities and chronic diseases were more prevalent in cases than controls, but more evenly spread out over the whole 6-year period before IA. A decision tree was created including all symptoms and diseases.ConclusionThere was an increased frequency of primary care visits for musculoskeletal symptoms, infections and comorbidities prior to the diagnosis of IA. This diverging trend is present for 4–6 years, but becomes statistically significant 1.5 years before the diagnosis. Validation of these results is warranted.

Item does not contain fulltext We systematically reviewed outcome assessment methods, outcome classification, and severity grading of reported outcomes in studies investigating the burden of physical long-term morbidity in childhood cancer survivors (CCS). A MEDLINE and EMBASE search identified 56 studies reporting on three or more types of health conditions in 5-year CCS, for which information was extracted on outcome types and classification, methods of outcome ascertainment, and severity grading. There was substantial variability in classification and types of health conditions reported and in methods of outcome ascertainment. Only 59% of the included studies applied severity grading, mainly the common terminology criteria of adverse events. This large variation in assessment and definition of the burden of physical long-term morbidity in CCS challenges interpretation, comparison, and pooling data across studies. Global collaboration is needed to standardize assessments and harmonize definitions of long-term physical morbidity and associated outcomes in childhood cancer survivorship research.

BackgroundInsight in hospitalizations in long-term childhood cancer survivors (CCS) is useful to understand the impact of long-term morbidity. We aimed to investigate hospitalization rates and underlying types of diagnoses in CCS compared to matched controls, and to investigate the determinants.MethodsWe linked 5,650 five-year CCS from the Dutch nationwide Dutch LATER cohort and 109,605 age- and sex-matched controls to the Dutch Hospital Discharge register, which contained detailed information on inpatient hospitalizations from 1995-2016. Relative hospitalization rates (RHRs) were calculated using a Poisson regression model. Adjusting for multiple hospitalizations per person via a Poisson model for generalized estimated equations, we investigated determinants for hospitalizations for all types of underlying diagnoses among CCS.ResultsCCS were twice as likely to be hospitalized as reference persons (hospitalization rate 178 and 78 per 1,000 person-years respectively; RHR 2.0, 95% confidence interval (CI) 1.9-2.2). Although CCS had more hospitalizations for 17 types of underlying diagnoses, they were especially more likely to be hospitalized for endocrine conditions (RHR: 6.0, 95% CI 4.6-7.7), subsequent neoplasms (RHR: 5.6, 95% CI 4.6-6.7) and symptoms without underlying diagnoses (RHR: 5.2, 95% CI 4.6-5.8). For those types of underlying diagnoses, female sex and radiotherapy were determinants.ConclusionThis study provides new insights in the high risk of hospitalizations for many types of underlying diagnoses in CCS and treatment related determinants. CCS are especially at high risk for hospitalizations for endocrine conditions, subsequent neoplasms and symptoms without an underlying diagnosis. This new knowledge is important for survivorship care and to identify possible preventable hospitalizations among CCS.

Background Falls are an important health threat among frail older people. GPs are often the first to contact for health issues and therefore they can be seen as the designated professional to offer fall prevention. At the moment, it is unknown what GPs in the Netherlands exactly do regarding fall prevention. This study aims to describe what GPs in the Netherlands do during daily practice in regards to fall prevention. Methods Thirty-four GP practices located throughout the Netherlands were followed for a period of 12 months. When a GP entered specific ICPC-codes related to frailty and falls in the Hospital Information System, the GP received a pop-up with the question “Is this patient frail?”. If according to the GP the patient was frail, the GP subsequently completed a short questionnaire. Results About 65 GPs completed 1396 questionnaires. More than half (n = 726) of the patients had experienced a fall in the previous year and/or had a fear of falling (FOF). Of 276 patients, GPs did not know if they had experienced a fall and of 408 patients if they had a FOF. Of the patients that had experienced a fall in the previous year and/or had a FOF, 37% received fall preventive care. Reasons for not offering such care were i) GP and patient did not think that the patient had a high fall risk (38%), ii) the patient finds treatment too intensive or too much of a hassle (21%) and iii) the patient was not convinced (s)he had a high fall risk and so treatment was not necessary (12%). The three most often treated underlying causes were mobility problems, FOF and cardiovascular risk factors. Conclusions The results show that GPs are not always aware of a patient's fall history or FOF and that only part of the patients that had experienced a fall and/or had a FOF receives fall preventive care. Hence, it is important to develop and implement strategies for GP practices to systematically screen for fall risk and to offer fall preventive care to reduce falls among frail older people. Key messages Thirty-seven percent of the frail older people that experienced a fall in the previous year and/or had a fear of falling, received fall preventive care. The three most treated underlying causes are mobility problems, fear of falling, cardiovascular factors.

Background Falls are a major problem among older people. Healthcare professionals are often unaware of the high fall risk of their patients because systematic screening does not take place. In the primary care setting systematic implementation of fall risk screening and referral to fall prevention interventions is lacking. This study aims to evaluate the implementation of a systematic and targeted fall risk screening among independently living frail older people in the primary care setting. Methods The implementation strategy used in this study consists of the provision of tools to screen for fall risk and identify the underlying causes, and services by physio- and exercise therapists who offer evidence-based interventions. The Theoretical Domains Framework of Huijg et al., (2014) is applied to identify barriers and facilitators of the implementation process. Online focus groups and informal interviews are conducted with the healthcare professionals involved. Preliminary results Participating GPs, practice nurses and district nurses acknowledged that fall prevention is part of their job, meaningful, and that they have the knowledge and skills to offer fall prevention. They also highlighted that the underlying causes of falls differ across patients, so personalized care is required. Experienced barriers are the complexity of diagnosing and treating high fall risk adequately versus lack of time, limited reimbursement, and patient's shame or limited motivation. Experienced facilitators are a good professional network, collaboration between GP practices and homecare providers, a motivated practice nurse, and adequate communication and support within the GP practice. Conclusions Identifying main barriers and facilitators offers opportunities for improving systematic fall prevention for older people. Hence, fall prevention can become more structurally available, reducing a major threat for the quality of life of older people living independently. Key messages Primary care professionals acknowledged systematic screening and fall prevention as meaningful and part of their job. Main facilitators are a good network of professionals, a motivated practice nurse, and adequate communication and support within the GP practice.