The Swiss and Dutch Health Insurance Systems: Universal Coverage and Regulated Competitive Insurance Markets

Compares systems of universal insurance coverage based on individual mandates, consumer choice of health plans, and regulated insurance market competition in Switzerland and the Netherlands. Discusses insights and implications for U.S. reform efforts

Welfarism vs. extra-welfarism

'Extra-welfarism' has received some attention in health economics, yet there is little consensus on what distinguishes it from more conventional 'welfarist economics'. In this paper, we seek to identify the characteristics of each in order to make a systematic comparison of the ways in which they evaluate alternative social states. The focus, though this is not intended to be exclusive, is on health. Specifically, we highlight four areas in which the two schools differ: (i) the outcomes considered relevant in an evaluation; (ii) the sources of valuation of the relevant outcomes; (iii) the basis of weighting of relevant outcomes and (iv) interpersonal comparisons. We conclude that these differences are substantive. (C) 2007 Elsevier B.V. All rights reserved

The “Health Benefit Basket” in The Netherlands

This contribution describes the entitlements in Dutch health care and explores how these entitlements are determined and to whom they apply. The focus is on services of curative care. No comprehensive positive or negative list of individual services is included in formal laws. Instead, the legislation states only what general types of medical services are covered and generally the “usual care” criterion determines to which interventions patients are entitled. This criterion is not very restrictive and yields local variations in service provision, which are moderated by practice guidelines. It is conceivable, however, that the recent introduction of the DBC financing system will change the reimbursement and therefore benefit-setting policy

Handbook of Health Economics

Editors and authors should be complimented for their impressive attempt to provide a fair account of the state-of-the-art in health economics. To review such an extensive work in a short time span, we decided to select certain chapters for more in depth study. This selection was based on our areas of expertise under the restriction that all major research areas distinguished in the handbook should be covered. Before turning to the review of the separate chapters, let us first make some general comments about the handbook. An important first question is whether all relevant research areas are covered and whether this has been done in a balanced way. Of course, exhaustive coverage in one book is unattainable for a large area like health economics. Rather the question is that regarding balance and possible lack of bias. In that respect, the book focuses on the US literature and health care system with 24 chapters written by US authors and only 11 by European and Canadian authors. The more traditional economic areas are generally covered by the US authors, emphasising a neo-classical rather than an institutional paradigm, and boundary topics like ‘equity’ and the ‘measurement of health’ are covered by the non-US authors. This structure both reflects the contributions in the health economics literature and the large variation in US health care institutions, and is on

Yield of screening for atrial fibrillation in primary care with a hand-held, single-lead electrocardiogram device during influenza vaccination

Aims To assess the yield of screening for atrial fibrillation (AF) with a hand-held single-lead electrocardiogram (ECG) device during influenza vaccination in primary care in the Netherlands. Methods and results We used the MyDiagnostick to screen for AF in persons who participated in influenza vaccination sessions of ten Dutch primary care practices. In case of suspected AF detection by the stick, the recorded 1-min ECG registrations were analysed by a cardiologist. We scrutinized electronic medical files of the general practitioners to obtain information about the cases screened. Multivariable logistic regression analysis was performed to predict the relation between patient characteristics and a new screen-detected diagnosis of AF. In total, 3269 persons were screened for AF during the influenza vaccination sessions of 10 general practitioner practices. As a result, 37 (1.1%) new cases of AF were detected. Prior transient ischeamic attack or stroke (OR 6.05; 95%CI 1.93-19.0), and age (OR 1.09 per year; 95% CI 1.05-1.14) were independent predictors for such newly screen-detected AF. Of the 37 screen-detected AF cases, 2.7% had a CHA2DS2-VASc of 0, 18.9% a score of 1, and 78.4% a score of 2 or more. The majority needed oral anticoagulant therapy. Conclusions Screening seems feasible with an easy to use single-lead, hand-held ECG device with automatic AF detection during influenza vaccination in primary care and results in a '1-day' yield of 1.1% new cases of AF. Trial registration clinicaltrials.gov NCT02006524

Оптимизация лапароскопической методики лечения тератомы яичника у женщин репродуктивного возраста

В эксперименте и клиническими исследованиями показано влияние лучевой аргоновой коагуляции, биполярной коагуляции и эндоскопического ушивания яичников кетгутом при лапароскопическом лечении дермоидных кист яичников у пациенток с бесплодием на дальнейшую их репродуктивную функцию и развитие спаечного процесса в послеоперационном периоде.The influence of argon coagulation, bipolar coagulation and endoscopic suture of ovaries with catgut at laparoscopic treatment for dermoid ovarian cysts in infertile patients on the further reproductive function and development of adhesions after the surgery were investigated experimentally and clinically

Opportunistic screening versus usual care for diagnosing atrial fibrillation in general practice:a cluster randomised controlled trial

Background Atrial fibrillation [AF] increases the risk of stroke, heart failure, and all-cause mortality. AF may be asymptomatic and therefore remain undiagnosed. Devices such as single-lead electrocardiographs [ECGs] may help GPs to diagnose AF. Aim To investigate the yield of opportunistic screening for AF in usual primary care using a single-lead ECG device. Design and setting A clustered, randomised controlled trial among patients aged >= 65 years with no recorded AF status in the Netherlands from October 2014 to March 2016. Method Fifteen intervention general practices used a single-lead ECG device at their discretion and 16 control practices offered usual care. The follow-up period was 1 year, and the primary outcome was the proportion of newly diagnosed cases of AF. Results In total. 17 107 older people with no recorded AF status were eligible to participate in the study. In the intervention arm. 10.7% of eligible patients [n = 919] were screened over the duration of the study year. The rate of newly diagnosed AF was similar in the intervention and control practices [1.43% versus 1.37%, P= 0.73]. Screened patients were more likely to have comorbidities, such as hypertension [60.0% versus 48.7%], type 2 diabetes [24.3% versus 18.6%], and chronic obstructive pulmonary disease [11.3% versus 7.4%], than eligible patients not screened in the intervention arm. Among patients with newly diagnosed AF in intervention practices. 27% were detected by screening, 23% by usual primary care. and 50% by a medical specialist or after stroke/transient ischaemic attack. Conclusion Opportunistic screening with a single-lead ECG at the discretion of the GP did not result in a higher yield of newly detected cases of AF in patients aged >= 65 years in the community than usual care. For higher participation rates in future studies, more rigorous screening methods are needed

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

BACKGROUND: Diabetes has strongly been linked to atrial fibrillation, ischaemic heart disease and heart failure. The epidemiology of these cardiovascular diseases is changing, however, due to changes in prevalence of obesity-related conditions and preventive measures. Recent population studies on incidence of atrial fibrillation, ischaemic heart disease and heart failure in patients with diabetes are needed. METHODS: A dynamic longitudinal cohort study was performed using primary care databases of the Julius General Practitioners’ Network. Diabetes status was determined at baseline (1 January 2014 or upon entering the cohort) and participants were followed-up for atrial fibrillation, ischaemic heart disease and heart failure until 1 February 2019. Age and sex-specific incidence and incidence rate ratios were calculated. RESULTS: Mean follow-up was 4.2 years, 12,168 patients were included in the diabetes group, and 130,143 individuals in the background group. Incidence rate ratios, adjusted for age and sex, were 1.17 (95% confidence interval 1.06–1.30) for atrial fibrillation, 1.66 (1.55–1.83) for ischaemic heart disease, and 2.36 (2.10–2.64) for heart failure. Overall, incidence rate ratios were highest in the younger age categories, converging thereafter. CONCLUSION: There is a clear association between diabetes and incidence of the major chronic progressive heart diseases, notably with heart failure with a more than twice increased risk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-021-01313-7

Patterns in the Use of Heart Failure Telemonitoring: Post Hoc Analysis of the e-Vita Heart Failure Trial

BACKGROUND: Research on the use of home telemonitoring data and adherence to it can provide new insights into telemonitoring for the daily management of patients with heart failure (HF). OBJECTIVE: We described the use of a telemonitoring platform-including remote patient monitoring of blood pressure, pulse, and weight-and the use of the electronic personal health record. Patient characteristics were assessed in both adherent and nonadherent patients to weight transmissions. METHODS: We used the data of the e-Vita HF study, a 3-arm parallel randomized trial performed in stable patients with HF managed in outpatient clinics in the Netherlands. In this study, data were analyzed from the participants in the intervention arm (ie, e-Vita HF platform). Adherence to weight transmissions was defined as transmitting weight ≥3 times per week for at least 42 weeks during a year. RESULTS: Data from 150 patients (mean age 67, SD 11 years; n=37, 25% female; n=123, 82% self-assessed New York Heart Association class I-II) were analyzed. One-year adherence to weight transmissions was 74% (n=111). Patients adherent to weight transmissions were less often hospitalized for HF in the 6 months before enrollment in the study compared to those who were nonadherent (n=9, 8% vs n=9, 23%; P=.02). The percentage of patients visiting the personal health record dropped steadily over time (n=140, 93% vs n=59, 39% at one year). With univariable analyses, there was no significant correlation between patient characteristics and adherence to weight transmissions. CONCLUSIONS: Adherence to remote patient monitoring was high among stable patients with HF and best for weighing; however, adherence decreased over time. Clinical and demographic variables seem not related to adherence to transmitting weight. TRIAL REGISTRATION: ClinicalTrials.gov NCT01755988; https://clinicaltrials.gov/ct2/show/NCT01755988