Socioeconomic determinants of myalgic encephalomyelitis/chronic fatigue syndrome in Norway: a registry study.

BACKGROUND: Previous research has shown that socioeconomic status (SES) is a strong predictor of chronic disease. However, to the best of our knowledge, there has been no studies of how SES affects the risk of Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) that has not been based upon self-reporting or retrospectively screening of symptoms. As far as we know, this is therefore the first study that isolate and describe socioeconomic determinants of ME/CFS and calculate how these factors relate to the risk of ME/CFS diagnosis by utilizing individual level registry data. This allows for objective operationalization of the ME/CFS population, and makes it possible to model SES affect the risk of ME/CFS diagnosis, relative to control groups. DATA AND METHODS: We conduct a pooled cross-sectional analysis of registry data from all adult patients diagnosed with ME/CFS from 2016 to 2018 in Norway, coupled with socioeconomic data from statistics Norway from 2011 to 2018. We operationalize SES as household income and educational attainment fixed at the beginning of the study period. We compare the effects of SES on the risk of ME/CFS diagnosis to a population of chronically ill patients with hospital diagnoses that share clinical characteristics of ME/CFS and a healthy random sample of the Norwegian population. Our models are estimated by logistic regression analyses. RESULTS: When comparing the risk of ME/CFS diagnosis with a population consisting of people with four specific chronic diseases, we find that high educational attainment is associated with a 19% increase (OR: 1.19) in the risk of ME/CFS and that high household income is associated with a 17% decrease (OR:0.83) in risk of ME/CFS. In our second model we compare with a healthy population sample, and found that low educational attainment is associated with 69% decrease (OR:0.31) in the risk of ME/CFS and that low household income is associated with a 53% increase (OR: 1.53). CONCLUSION: We find statistically significant associations between SES and the risk of ME/CFS. However, our more detailed analyses shows that our findings vary according to which population we compare the ME/CFS patients with, and that the effect of SES is larger when comparing with a healthy population sample, as opposed to controls with selected hospital diagnoses.

New Public Management and hospital efficiency: the case of Norwegian public hospital trusts.

New Public Management-inspired reforms in the Norwegian hospital sector have introduced several features from the private sector into a predominantly public healthcare system. Since the late 1990s, several reforms have been carried out with the intention of improving the utilization of resources. There is, however, limited knowledge about the long-term, and sector-wide effects of these reforms. In this study, using a panel data set of all public hospital trusts spanning nine years, we provide an analysis of the efficiency of hospital trusts using data envelopment analysis (DEA), as well as a Malmquist productivity index. Thereafter we use the efficiency scores as the dependent variable in a second-stage panel data regression analysis. We show that during the period between 2011 and 2019, on average, efficiency has increased over time. Further, in the second-stage analysis, we show that New Public Management features related to incentivization are associated with the level of hospital efficiency. We find no association between degree of competition and efficiency.

Risk for referral to the child welfare system following parental relationship transitions in Norway.

BACKGROUND: There is a lack of knowledge concerning how changes in family structures are associated with involvement in child welfare systems. Particularly little attention has been paid to the role of parental relationship transitions, which may involve major changes in the lives of children and parents in terms of housing, finances, and relationship boundaries between family members. OBJECTIVE: To investigate how transitions in parental relationship status are linked to referrals to the child welfare system. PARTICIPANTS AND SETTING: All children born in Norway in 1995 (N = 60,218) and 2005 (N = 56,644) and their parents. METHODS: This retrospective birth cohort study consisted of child welfare statistics merged with various registers from Statistics Norway. Logistic panel-data models were used to examine the relationship between the occurrence of a parental relationship transition and referral to the child welfare system. Four types of relationship transitions were analyzed: (1) couple to a single mother, (2) couple to a single father, (3) single mother to a couple, and (4) single father to a couple. RESULTS: The occurrence of any type of relationship transition increased the likelihood of referral to the child welfare system in the year that the transition occurred, with the transitions to single motherhood, to single fatherhood, and from single fatherhood to a couple associated with greater odds of referral than the transition from single motherhood to a couple. CONCLUSIONS: Understanding how parental relationship transitions are associated with referrals to the child welfare system is important to appropriately facilitate help to families in need.

How do busy hospital circumstances affect mortality and readmission within 60 days: A cohort study of 680 000 acute admissions in Norway.

OBJECTIVE: To study mortality and readmissions for older patients admitted during more and less busy hospital circumstances. DESIGN: Cohort study where we identified patients that were admitted to the same hospital, during the same month and day of the week. We estimated effects of inflow of acute patients and the number of concurrent acute inpatients. Mortality and readmissions were analysed using stratified Cox-regression. SETTING: All people 80 years and older acutely admitted to Norwegian hospitals between 2008 and 2016. MAIN OUTCOME MEASURES: Mortality and readmissions within 60 days from admission. RESULTS: Among 294 653 patients with 685 197 admissions, mean age was 86 years (standard deviation 5). Overall, 13% died within 60 days. An interquartile range difference in inflow of acute patients was associated with a hazard ratio (HR) of 0.99, 95% confidence interval (95% CI) 0.98 to 1.00). There was little evidence of differences in readmissions, but a 7% higher risk (HR 1.07, 95% CI 1.06 to 1.09) of being discharged outside ordinary daytime working hours. CONCLUSIONS: Older patients admitted during busier circumstances had similar mortality and readmissions to those admitted during less busy periods. Yet, they showed a higher risk of discharge outside daytime working hours. Despite limited effects of busyness on a hospital level, there could still be harmful effects of local situations.

High ward occupancy, bedspacing, and 60 day mortality for patients with myocardial infarction, stroke, and heart failure.

AIMS: To study the consequences of crowded wards among patients with cardiovascular disease. METHODS AND RESULTS: This is a cohort study among 201 801 patients with 258 807 admissions who were acutely admitted for myocardial infarction (N = 107 895), stroke (N = 87 336), or heart failure (N = 63 576) to any Norwegian hospital between 2008 and 2016. The ward admitting most patients with the given clinical condition was considered a patient's home ward. We compared patients with the same condition admitted when home ward occupancy was different, at the same hospital and during comparable time periods. Occupancy was standardized such that a one-unit difference corresponded to the interquartile range in occupancy in the given month. One interquartile increase in home ward occupancy was associated with 7% higher odds of admission to an alternate ward [odds ratio (OR) 1.07, 95% confidence interval (CI) 1.09 to 1.11], and length of stay was shorter (-0.10 days, 95% CI -0.18 to -0.09). Patients with heart failure had 15% higher odds of admission to alternate wards (OR 1.15, 95% CI 1.08 to 1.23) and increased mortality [hazard ratio (HR) 1.08, 95% CI 1.03 to 1.15]. We found no apparent effect on mortality for patients with myocardial infarction (HR 0.99, 95% CI 0.94 to 1.05) or stroke (HR 1.00, 95% CI 0.96 to 1.05). CONCLUSIONS: Patients with heart failure had higher risk of admission to alternate wards when home ward occupancy was high. These patients may be negatively affected by full wards.

Predicting diagnostic coding in hospitals: individual level effects of price incentives.

The purpose of this paper is to test if implicit price incentives influence the diagnostic coding of hospital discharges. We estimate if the probability of being coded as a complicated patient was related to a specific price incentive. This paper tests empirically if upcoding can be linked to shifts in patient composition through proxy measures such as age composition, length of stay, readmission rates, mortality- and morbidity of patients. Data about inpatient episodes in Norway in all specialized hospitals in the years 1999-2012 were collected, N = 11 065 330. We examined incentives present in part of the hospital funding system. First, we analyse trends in the proxy measures of diagnostic upcoding: can hospital behavioural changes be seen over time with regards to age composition, readmission rates, length of stay, comorbidity and mortality? Secondly, we examine specific patient groups to see if variations in the price incentive are related to probability of being coded as complicated. In the first years (1999-2003) there was an observed increase in the share of episodes coded as complicated, while the level has become more stable in the years 2004-2012. The analysis showed some indications of upcoding. However, we found no evidence of widespread upcoding fuelled by implicit price incentive, as other issues such as patient characteristics seem to be more important than the price differences. This study adds to previous research by testing individual level predictions. The added value of such analysis is to have better case mix control. We observe the presence of price effects even at individual level.

Effects of GP characteristics on unplanned hospital admissions and patient safety. A 9-year follow-up of all Norwegian out-of-hours contacts.

BACKGROUND: There are substantial differences in hospital referrals between general practitioners (GPs); however, there is little research on the consequences for patient safety and further healthcare use. OBJECTIVE: To investigate associations between out-of-hours GP characteristics, unplanned hospital admissions, and patient safety. METHODS: This cohort study included all Norwegian out-of-hours services contacts from 2008 to 2016, linked to registry data on patient characteristics, healthcare use and death, and GP age, sex, specialist status, out-of-hours service experience, and prior admission proportion. We estimated the impact from GP characteristics on (i) immediate unplanned hospital admissions for "all conditions," (ii) immediate unplanned hospital admissions for "critical conditions," (iii) 30-day unplanned hospital admissions, (iv) 30-day hospital costs, and (v) 30-day risk of death. To limit confounding, we matched patients in groups by age, time, and location, with an assumption of random assignment of GPs to patients with this design. RESULTS: Patients under the care of older and male GPs had fewer immediate unplanned hospital admissions, but the effects on cumulative 30-day unplanned hospital admissions and costs were small. The GPs' prior admission proportion was strongly associated with both immediate and 30-day unplanned hospital admissions. Higher prior admission proportion was also associated with admitting more patients with critical conditions. There was little evidence of any associations between GP characteristics and 30-day risk of death. CONCLUSIONS: GPs' prior admission proportion was strongly associated with unplanned hospital admissions. We found little effects on 30-day mortality, but more restrictive referral practices may threaten patient safety through missing out on critical cases.

Referral for specialized health services is a key part of the general practitioner (GP) role. Differences in referrals between primary care physicians have been widely studied, as they represent a target for reducing the use of specialized health services. However, the potential consequences beyond the actual referral have received little attention. Studying associations between physician characteristics and clinical decisions are difficult because physicians often systematically see different patient populations with different morbidity. Previous findings showing large differences in clinical decisions regarding referrals and hospital admissions may suffer from confounding. With our carefully matched study design, we could assume that the assignment of physicians to patients was random. We found substantial differences in referrals associated with GP characteristics. Seeing older and male GPs and specialists in family medicine were associated with fewer immediate unplanned hospital admissions but did not substantially influence unplanned hospital costs within 30 days. However, GPs with a history of admitting many of their recent patients had a substantial higher tendency to admit their future patients and represented a higher use of health services and costs. These GPs also referred more critically ill patients, an essential aspect of patient safety. The differences in referrals had minor impact on the patients' 30-day risk of death.

Reablement in a small municipality, a survival analysis.

BACKGROUND: Reablement is a municipal service given to patients at home. The purpose of the service is to assist recovery after hospital discharges or other sudden changes in a patient's functional level. The service is often provided by a team of nurses, physiotherapists, and occupational therapists. The purpose of this paper is to compare users of this service to users who receive traditional home care services. Outcomes to be measured are risk of long-term care and mortality. METHODS: All users of health and care services in a Norwegian municipality were eligible for inclusion. Data was extracted from the local user administrative database. Users were divided in two groups: those who received reablement and those home care users who did not receive reablement service. Propensity score matching was used to match users based on age, sex, and level of functioning in activities of daily living (ADL). Survival analysis was deployed to test if the reablement users had different risk of becoming long-term care users, and whether the mortality rate differed for this group. RESULTS: 153 reablement users were included in the study. These were matched to 153 non-reablement home care users. The groups had similar distributions of age, sex, and level of functioning when starting their service trajectories. Regressions showed that reablement users had lower risk of using long-term care services in the study period (time at risk up to 4 years), and lower mortality. However, none of these estimates were statistically significant. CONCLUSIONS: The study indicates that the reablement users in one municipality had lower use of long -term care and lower mortality when properly estimated, but numbers were too small for statistical significance to be found.

High volumes of recent surgical admissions, time to surgery, and 60-day mortality.

AIMS: Few studies have investigated potential consequences of strained surgical resources. The aim of this cohort study was to assess whether a high proportion of concurrent acute surgical admissions, tying up hospital surgical capacity, may lead to delayed surgery and affect mortality for hip fracture patients. METHODS: This study investigated time to surgery and 60-day post-admission death of patients 70 years and older admitted for acute hip fracture surgery in Norway between 2008 and 2016. The proportion of hospital capacity being occupied by newly admitted surgical patients was used as the exposure. Hip fracture patients admitted during periods of high proportion of recent admissions were compared with hip fracture patients admitted at the same hospital during the same month, on similar weekdays, and times of the day with fewer admissions. RESULTS: Among 60,072 patients, mean age was 84.6 years (SD 6.8), 78% were females, and median time to surgery was 20 hours (IQR 11 to 29). Overall, 14% (8,464) were dead 60 days after admission. A high (75th percentile) proportion of recent surgical admission compared to a low (25th percentile) proportion resulted in 20% longer time to surgery (95% confidence interval (CI) 16 to 25) and 20% higher 60-day mortality (hazard ratio 1.2, 95% CI 1.1 to 1.4). CONCLUSION: A high volume of recently admitted acute surgical patients, indicating probable competition for surgical resources, was associated with delayed surgery and increased 60-day mortality. Cite this article: Bone Joint J 2021;103-B(2):264-270.

Hospitals´ Discharge Tendency and Risk of Death - An Analysis of 60,000 Norwegian Hip Fracture Patients.

PURPOSE: A reduction in the length of hospital stay may threaten patient safety. This study aimed to estimate the effect of organizational pressure to discharge on 60-day mortality among hip fracture patients. PATIENTS AND METHODS: In this cohort study, hip fracture patients were analyzed as if they were enrolled in a sequence of trials for discharge. A hospital's discharge tendency was defined as the proportion of patients with other acute conditions who were discharged on a given day. Because the hospital's tendency to discharge would affect hip fracture patients in an essentially random manner, this exposure could be regarded as analogous to being randomized to treatment in a clinical trial. The study population consisted of 59,971 Norwegian patients with hip fractures, hospitalized between 2008 and 2016, aged 70 years and older. To calculate the hospital discharge tendency for a given day, we used data from all 5,013,773 other acute hospitalizations in the study period. RESULTS: The probability of discharge among hip fracture patients increased by 5.5 percentage points (95% confidence interval (CI)=5.3-5.7) per 10 percentage points increase in hospital discharges of patients with other acute conditions. The increased risk of death that could be attributed to a discharge from organizational causes was estimated to 3.7 percentage points (95% CI=1.4-6.0). The results remained stable under different time adjustments, follow-up periods, and age cut-offs. CONCLUSION: This study showed that discharges from organizational causes may increase the risk of death among hip fracture patients.

Time of admission and mortality after hip fracture: a detailed look at the weekend effect in a nationwide study of 55,211 hip fracture patients in Norway.

Background and purpose - There are numerous studies on the weekend effect for hip fracture patients, with conflicting results. We analyzed time of admission and discharge, and the association with mortality and length of hospital stay in more detail. Patients and methods - We used data from 61,211 surgically treated hip fractures in 55,211 patients, admitted to Norwegian hospitals 2008-2014. All patients were aged 50 years or older. Data were analyzed with Cox and Poisson regression. Results - Mortality within 30 days did not differ substantially by day of admission, although admissions on Sundays and holidays had a slightly increased mortality. The hazard ratios were 1.1 (95% confidence interval [CI] 0.97-1.2) for Sundays, and 1.2 (CI 0.98-1.4) for holidays, relative to Mondays. For patients admitted between 6:00 am and 7:00 am the hazard ratio was 1.4 (CI 1.1-1.8) relative to patients admitted between 2:00 pm and 3:00 pm. Discharges during weekends and holidays were associated with a substantial higher mortality than weekday discharges. Patients admitted from Friday to Sunday generally stayed in hospital for a shorter time than patients admitted during other days. Interpretation - Our results indicate that the discussion on weekday versus weekend admission effects might have distracted attention from other important factors, such as time of day of admission, and day of discharge from hospital treatment.

Economic incentives and diagnostic coding in a public health care system.

We analysed the association between economic incentives and diagnostic coding practice in the Norwegian public health care system. Data included 3,180,578 hospital discharges in Norway covering the period 1999-2008. For reimbursement purposes, all discharges are grouped in diagnosis-related groups (DRGs). We examined pairs of DRGs where the addition of one or more specific diagnoses places the patient in a complicated rather than an uncomplicated group, yielding higher reimbursement. The economic incentive was measured as the potential gain in income by coding a patient as complicated, and we analysed the association between this gain and the share of complicated discharges within the DRG pairs. Using multilevel linear regression modelling, we estimated both differences between hospitals for each DRG pair and changes within hospitals for each DRG pair over time. Over the whole period, a one-DRG-point difference in price was associated with an increased share of complicated discharges of 14.2 (95 % confidence interval [CI] 11.2-17.2) percentage points. However, a one-DRG-point change in prices between years was only associated with a 0.4 (95 % CI [Formula: see text] to 1.8) percentage point change of discharges into the most complicated diagnostic category. Although there was a strong increase in complicated discharges over time, this was not as closely related to price changes as expected.

Productivity growth, case mix and optimal size of hospitals. A 16-year study of the Norwegian hospital sector.

BACKGROUND AND OBJECTIVES: This paper analyses productivity growth in the Norwegian hospital sector over a period of 16 years, 1999-2014. This period was characterized by a large ownership reform with subsequent hospital reorganizations and mergers. We describe how technological change, technical productivity, scale efficiency and the estimated optimal size of hospitals have evolved during this period. MATERIAL AND METHODS: Hospital admissions were grouped into diagnosis-related groups using a fixed-grouper logic. Four composite outputs were defined and inputs were measured as operating costs. Productivity and efficiency were estimated with bootstrapped data envelopment analyses. RESULTS: Mean productivity increased by 24.6% points from 1999 to 2014, an average annual change of 1.5%. There was a substantial growth in productivity and hospital size following the ownership reform. After the reform (2003-2014), average annual growth was <0.5%. There was no evidence of technical change. Estimated optimal size was smaller than the actual size of most hospitals, yet scale efficiency was high even after hospital mergers. However, the later hospital mergers have not been followed by similar productivity growth as around time of the reform. CONCLUSIONS: This study addresses the issues of both cross-sectional and longitudinal comparability of case mix between hospitals, and thus provides a framework for future studies. The study adds to the discussion on optimal hospital size.

[Acute myocardial infarctions in Norway 1991 - 2007]. / Hjerteinfarkt i Norge 1991 - 2007.

BACKGROUND: The objective of the study was to analyse the number of AMI (acute myocardial infarctions) registered in the period 1991 - 2007, with special emphasis on the development after 1999, and with this background discuss changes in incidence. MATERIAL AND METHODS: We analysed data from NPR (the Norwegian Patient Register), on patients discharged from hospitals in the period 1991 - 2007 with the main diagnosis AMI. For the year 2004, a patient-based dataset was made available from SINTEF Health Research/NPR. The time for when troponin assays (for diagnosing AMI) were implemented in Norwegian hospitals was recorded through a questionnaire survey. RESULTS: The number of discharges for these patients decreased during the 90 s. From 2000 to 2007, the total number of discharges increased considerably (from 11,892 to 19,757 [66 %]). In patients below 80 years of age the number of discharges per 100,000 inhabitants was 283 in 1991 and 196 in 1999. After controlling for patient transfers between hospitals and introduction of troponins for diagnosing of AMI, the number of patients below 80 years admitted to hospital in 2004 was estimated to 142 - 162 per 100,000 inhabitants. INTERPRETATION: The trend for a decrease in AMI incidence seems to have continued from the 1990 s to after 2000 for the age groups below 80.