Hospital productivity and the Norwegian ownership reform – A Nordic comparative study

In a period where decentralisation seemed to be the prominent trend, Norway in 2002 chose to re-centralise the hospital sector. The reform had three main aims; cost control, efficiency and reduced waiting times. This study investigates whether the hospital reform has improved hospital productivity using the other four major Nordic countries as controls. Hospital productivity measures are obtained using data envelopment analysis (DEA) on a comparable dataset of 728 Nordic hospitals in the period 1999 to 2004. First a common reference frontier is established for the four countries, enveloping the technologies of each of the countries and years. Bootstrapping techniques are applied to the obtained productivity estimates to assess uncertainty and correct for bias. Second, these are regressed on a set of explanatory variables in order to separate the effect of the hospital reform from the effects of other structural, financial and organizational variables. A fixed hospital effect model is used, as random effects and OLS specifications are rejected. Robustness is examined through alternate model specifications, including stochastic frontier analysis (SFA). The SFA approach in performed using the Battese & Coelli (1995) one stage procedure where the inefficiency term is estimated as a function of the set of explanatory variables used in the second stage in the DEA approach. Results indicate that the hospital reform in Norway seems to have improved the level of productivity in the magnitude of approximately 4 % or more. While there are small or contradictory estimates of the effects of case mix and activity based financing, the length of stay is clearly negatively associated with estimated productivity. Results are robust to choice of efficiency estimation technique and various definition of when the reform effect takes place.Efficiency; productivity; DEA; SFA; hospitals

Variation in point-of-care testing of HbA1c in diabetes care in general practice

Background: Point-of-care testing (POCT) of HbA1c may result in improved diabetic control, better patient outcomes, and enhanced clinical efficiency with fewer patient visits and subsequent reductions in costs. In 2008, the Danish regulators created a framework agreement regarding a new fee-for-service fee for the remuneration of POCT of HbA1c in general practice. According to secondary research, only the Capital Region of Denmark has allowed GPs to use this new incentive for POCT. The aim of this study is to use patient data to characterize patients with diabetes who have received POCT of HbA1c and analyze the variation in the use of POCT of HbA1c among patients with diabetes in Danish general practice. Methods: We use register data from the Danish Drug Register, the Danish Health Service Register and the National Patient Register from the year 2011 to define a population of 44,981 patients with diabetes (type 1 and type 2 but not patients with gestational diabetes) from the Capital Region. The POCT fee is used to measure the amount of POCT of HbA1c among patients with diabetes. Next, we apply descriptive statistics and multilevel logistic regression to analyze variation in the prevalence of POCT at the patient and clinic level. We include patient characteristics such as gender, age, socioeconomic markers, health care utilization, case mix markers, and municipality classifications. Results: The proportion of patients who received POCT was 14.1% and the proportion of clinics which were “POCT clinics” was 26.9%. There were variations in the use of POCT across clinics and patients. A part of the described variation can be explained by patient characteristics. Male gender, age differences (older age), short education, and other ethnicity imply significantly higher odds for POCT. High patient costs in general practice and other parts of primary care also imply higher odds for POCT. In contrast, high patient costs for drugs and/or morbidity in terms of the Charlson Comorbidity index mean lower odds for POCT. The frequency of patients with diabetes per 1000 patients was larger in POCT clinics than Non-POCT clinics. A total of 22.5% of the unexplained variability was related to GP clinics. Conclusions: This study demonstrates variation in the use of POCT which can be explained by patient characteristics such as demographic, socioeconomic, and case mix markers. However, it appears relevant to reassess the system for POCT. Further studies are warranted in order to assess the impacts of POCT of HbA1c on health care outcomes

General practice in the Nordic countries

<p><span lang="EN-GB">Background: General practice systems in the Nordic countries share certain common features. The sector is based on the Nordic model of a tax-financed supply of services with a political objective of equal access for all. The countries also share the challenges of increased political expectations to deliver primary prevention and increased workload as patients from hospital care are discharged earlier. However, within this common framework, primary care is organized differently. This is particularly in relation to the private-public mix, remuneration systems and the use of financial and non-financial incentives. </span></p><p><span lang="EN-GB">Objective: The objective of this paper is to compare the differences and similarities in primary care among the Nordic countries, to create a mapping of the future plans and reforms linked to remuneration and incentives schemes, and to discuss the pros and cons for these plans with reference to the literature. An additional objective is to identify gaps in the literature and future research opportunities. </span></p><p><span lang="EN-GB">Results/Conclusions: Despite the many similarities within the Nordic health care systems, the primary care sectors function under highly different arrangements. Most important are the differences in the gate-keeping function, private versus salaried practices, possibilities for corporate ownership, skill-mix and the organisational structure. Current reforms and political agendas appear to focus on the side effects of the individual countries’ specific systems. For example, countries with salaried systems with geographical responsibility are introducing incentives for private practice and more choices for patients. Countries with systems largely based on private practice are introducing more monitoring and public regulation to control budgets. We also see that new governments tends to bring different views on the future organisation of primary care, which provide considerable political tension but few actual changes. Interestingly, Sweden appears to be the most innovative in relation to introducing new incentive schemes, perhaps because decisions are made at a more decentralised level.</span></p

Use of electronic patient data overview with alerts in primary care increases prescribing of lipid-lowering medications in patients with type 2 diabetes

AIMS/HYPOTHESIS: We aimed to assess whether general practices (GPs) using an electronic disease management program (DMP) with population overviews, including alerts when patients failed to receive guideline-recommended prescription medications, increased prescriptions of lipid-lowering drugs for patients with type 2 diabetes with no history of lipid-lowering treatment. METHODS: This observational study included 165 GPs that reached a high level of use of the DMP in 2012 and a control group of 135 GPs who reached a high level of use in 2013 and, hence, who were less exposed to the DMP throughout 2012. A binary measure for having been prescribed and filled lipid-lowering drugs at any time within a 12-month exposure period was derived for all patients with type 2 diabetes who did not receive a prescription for lipid-lowering drugs in the baseline year prior to the study period (i.e. 2011). Results were derived using ORs from multivariate logistic regression analyses. Subgroup stratification based on age, sex, diabetes duration, deprivation status and Charlson Comorbidity Index (CCI) score was conducted and assessed. Placebo tests were carried out to assess bias from selection to treatment. RESULTS: Patients who did not receive a prescription of lipid-lowering drugs in the year prior to being listed with GPs that used the DMP had statistically significant greater odds of receiving a prescription of lipid-lowering medications when compared with individuals who attended control GPs (OR 1.23 [95% CI 1.09, 1.38]). When the analysis period was shifted back by 2 years, no significant differences in lipid-lowering drug prescription between the two groups were found to occur, which indicates that these results were not driven by selection bias. Subgroup analyses showed that the increase in lipid-lowering drug prescriptions was primarily driven by changes among male participants (OR 1.32 [95% CI 1.12, 1.54]), patients aged 60–70 years (OR 1.40 [95% CI 1.13, 1.74]), patients with a diabetes duration of ≤5 years (OR 1.33 [95% CI 1.13, 1.56]), non-deprived patients (OR 1.25 [95% CI 1.08, 1.45]) and patients without comorbidities (CCI score = 0; OR 1.27 [95% CI 1.11, 1.45]). CONCLUSIONS/INTERPRETATION: Access to population overviews using a DMP with alerts of clinical performance measures with regard to adhering to guideline-recommended prescription of medications can increase GP prescriptions of lipid-lowering drugs. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains peer-reviewed but unedited supplementary material available at 10.1007/s00125-021-05598-x

Waist Circumference and Body Mass Index as Predictors of Health Care Costs

BACKGROUND: In the present study we analyze the relationship between body mass index (BMI) and waist circumference (WC) and future health care costs. On the basis of the relation between these anthropometric measures and mortality, we hypothesized that for all levels of BMI increased WC implies added future health care costs (Hypothesis 1) and for given levels of WC increased BMI entails reduced future health care costs (Hypothesis 2). We furthermore assessed whether a combination of the two measures predicts health care costs better than either individual measure. RESEARCH METHODOLOGY/PRINCIPAL FINDINGS: Data were obtained from the Danish prospective cohort study Diet, Cancer and Health. The population includes 15,334 men and 16,506 women 50 to 64 years old recruited in 1996 to 1997. The relationship between future health care costs and BMI and WC in combination was analyzed by use of categorized and continuous analyses. The analysis confirms Hypothesis 1, reflecting that an increased level of abdominal fat for a given BMI gives higher health care costs. Hypothesis 2, that BMI had a protective effect for a given WC, was only confirmed in the continuous analysis and for a subgroup of women (BMI<30 kg/m(2) and WC <88 cm). The relative magnitude of the estimates supports that the regressions including WC as an explanatory factor provide the best fit to the data. CONCLUSION: The study showed that WC for given levels of BMI predicts increased health costs, whereas BMI for given WC did not predict health costs except for a lower cost in non-obese women with normal WC. Combining WC and BMI does not give a better prediction of costs than WC alone

Economics of mental wellbeing: a prospective study estimating associated productivity costs due to sickness absence from the workplace in Denmark

Background Few studies have assessed associations between mental wellbeing (MWB) and productivity loss using nationally-representative longitudinal data. The objective of the study was to determine how different levels of MWB are associated with future productivity loss due to sickness absence. Methods Data stem from a Danish nationally representative panel study of 1,959 employed adults (aged 16-64 years old) conducted in 2019 and 2020, which was linked to Danish register data. The validated Short Warwick-Edinburgh Mental Wellbeing Scale (SWEMWBS) was used to assess MWB in 2019. The outcome was days absent from work due to sickness in 2020. Linear regression models were used to predict sickness absence in 2020 while adjusting for sickness absence in 2019, sociodemographics and health status, including psychiatric morbidity. Productivity costs were estimated using the human capital approach (HCA) and friction cost approach (FCA). Results Each point increase in MWB was significantly associated with fewer sick days and, by extension, lower productivity loss (reported in the order HCA/FCA). As compared to low MWB, moderate MWB was associated with $-1,614/$-1,271 per person, while high MWB was associated with $-2,351/$-1,779 per person. Extrapolated to the Danish population (2.7M employed adults aged 16-64), moderate MWB (67.3% of the population) was associated with lower productivity costs amounting to $-2.9bn/$-2.3bn, while high MWB (20.4% of the population) was associated with lower costs amounting to $-1.3bn/$-0.9bn. Conclusions Higher levels of MWB are associated with considerably less productivity loss. Substantial reductions in productivity loss could potentially be achieved by promoting higher levels of MWB in the population workforce

Examining cost variation across hospital departments--a two-stage multi-level approach using patient-level data

Studies of hospital efficiency seldom lead to changes in practice, partly because recommendations are unspecific or results are not seen as robust. We describe a method to compare hospital costs that utilises patient-level data. We perform a two-stage analysis in which we first consider factors that explain costs among patients and then across hospital departments. We illustrate our approach by examining the costs and characteristics of almost one million patients admitted to 136 English NHS hospital obstetrics departments in 2005/2006. We identify those departments with significantly higher costs that need to take action

Correlation between relative rates of hospital treatment or death due to ischaemic heart disease (IHD) and of IHD-related medication among socio-occupational and economic activities groups in Denmark, 1996–2005

Objective: The aim of the present work was to establish whether or not prescribed medication is a usable risk indicator for work‑related ischaemic heart disease (IHD), in Denmark. Material and Methods: Weighted Spearman rank correlation coefficients (rho) were used to evaluate the agreement between Standardised Hazard Ratios (SHR) for hospital treatment or death due to IHD and SHR for purchase of prescriptions for medicine that may prevent IHD from (re)occurring, among socio-occupational and economic activities groups in Denmark. The SHR were based on a 10-year prospective follow-up of 2 million people in Danish national registers 1996–2005. Results: We found approximately 7 times more cases of medicine usage (N = 411 651) than we did for hospital treatment or death (N = 55 684). The correlations between the 2 types of SHR were strong (rho = 0.94 for the socio-occupational groups; rho = 0.74 for the economic activities groups). We observed, however, one markedly contradictive result; the industrial group entitled ‘general practitioner, dentists etc.’ was associated both with significantly high rates of medicine usage (SHR = 1.15, 95% CI: 1.12–1.19) and significantly low rates of hospital treatment or death due to IHD (SHR = 0.80, 95% CI: 0.71–0.91). Conclusion: Apart from a few caveats, the strong correlations obtained in the present study signify that purchase of a prescription for IHD-related medication is a usable risk indicator for IHD in the working population of Denmark. The usage of medicine data in addition to or instead of the use of death or hospital data in epidemiological studies on work-related IHD risk will bring about a tremendous increase in statistical power

A Search for Dark Higgs Bosons

Recent astrophysical and terrestrial experiments have motivated the proposal of a dark sector with GeV-scale gauge boson force carriers and new Higgs bosons. We present a search for a dark Higgs boson using 516 fb-1 of data collected with the BABAR detector. We do not observe a significant signal and we set 90% confidence level upper limits on the product of the Standard Model-dark sector mixing angle and the dark sector coupling constant.Comment: 7 pages, 5 postscript figures, published version with improved plots for b/w printin

Performance of CMS muon reconstruction in pp collision events at sqrt(s) = 7 TeV

The performance of muon reconstruction, identification, and triggering in CMS has been studied using 40 inverse picobarns of data collected in pp collisions at sqrt(s) = 7 TeV at the LHC in 2010. A few benchmark sets of selection criteria covering a wide range of physics analysis needs have been examined. For all considered selections, the efficiency to reconstruct and identify a muon with a transverse momentum pT larger than a few GeV is above 95% over the whole region of pseudorapidity covered by the CMS muon system, abs(eta) < 2.4, while the probability to misidentify a hadron as a muon is well below 1%. The efficiency to trigger on single muons with pT above a few GeV is higher than 90% over the full eta range, and typically substantially better. The overall momentum scale is measured to a precision of 0.2% with muons from Z decays. The transverse momentum resolution varies from 1% to 6% depending on pseudorapidity for muons with pT below 100 GeV and, using cosmic rays, it is shown to be better than 10% in the central region up to pT = 1 TeV. Observed distributions of all quantities are well reproduced by the Monte Carlo simulation.Comment: Replaced with published version. Added journal reference and DO