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Objective The ability to detect and treat complications of surgery early is essential for optimal patient outcomes. The failure-to-rescue (FTR) rate is defined as the death rate among patients who develop at least one complication after the surgical procedure and may be used to monitor a hospital’s quality of surgical care. The aim of this observational study was to explore FTR in Norway and to see if we could identify surgical trajectories associated with high FTR. Method Data on all abdominal surgeries in Norwegian hospitals from 2011 to 2017 were obtained from the Norwegian Patient Registry and linked with the National Population Register. Surgical and other postoperative complication rates and FTR within 30 days (deaths occurring in and out of the hospital) were assessed. We identified surgical trajectories (type of procedures—type of complication—dead/alive at 30 days after operation) associated with the highest volume of deaths (high volume of FTR [FTR-V]) and highest risk of death after a postoperative complication. Results Of the total 626 052 primary abdominal procedures, 224 871 (35.8%) had at least one complication, which includes 83 037 patients. The most common postoperative complications were sepsis (N = 14 331) and respiratory failure (N = 7970). The high-volume trajectories (FTR-V) were endoscopic retrograde cholangiopancreatography—sepsis—death (N = 294, 13.8%); open colon resections—sepsis—death (N = 279, 28.1%) and procedures with stoma formation—sepsis—death (N = 272, 27%). Similarly, patients operated with embolectomy of the visceral arteries and experiencing postoperative sepsis were associated with an extremely high risk of 30-day FTR of 81.5%. In general, an FTR patient had a higher mean age, an increased rate of emergency surgery and more comorbidity. Hospital size was not associated with FTR. Conclusion At a national level, there exist high-volume and high-risk surgical trajectories associated with FTR. These trajectories represent major targets for quality improvement initiatives.

Background and purpose — Many countries implemented strict lockdown policies to control the COVID-19 pandemic during March 2020. The impacts of lockdown policies on joint surgeries are unknown. Therefore, we assessed the effects of COVID-19 pandemic lockdown restrictions on the number of emergency and elective hip joint surgeries, and explored whether these procedures are more/less affected by lockdown restrictions than other hospital care. Patients and methods — In 1,344,355 persons aged ≥ 35 years in the Norwegian emergency preparedness (BEREDT C19) register, we studied the daily number of persons having (1) emergency surgeries due to hip fractures, and (2) electively planned surgeries due to hip osteoarthritis before and after COVID-19 lockdown restrictions were implemented nationally on March 13, 2020, for different age and sex groups. Incidence rate ratios (IRR) reflect the after-lockdown number of surgeries divided by the before-lockdown number of surgeries. Results — After-lockdown elective hip surgeries comprised one-third the number of before-lockdown (IRR ∼0.3), which is a greater drop than that seen in all-cause elective hospital care (IRR ∼0.6). Men aged 35–69 had half the number of emergency hip fracture surgeries (IRR ∼0.6), whereas women aged ≥ 70 had the same number of emergency hip fracture surgeries after lockdown (IRR ∼1). Only women aged 35–69 and men aged ≥ 70 had emergency hip fracture surgery rates after lockdown comparable to what may be expected based on analyses of all-cause acute care (IRR ∼0.80) Interpretation — It is important to note for future pandemics management that lockdown restrictions may impact more on scheduled joint surgery than other scheduled hospital care. Lockdown may also impact the number of emergency joint surgeries for men aged ≥ 35 but not those for women aged ≥ 70.

Aims: For everyone with a positive test for SARS-CoV-2 in Norway, we studied whether age, sex, comorbidity, continent of birth and nursing home residency were risk factors for hospitalization, invasive mechanical ventilation treatment and death. Methods: Data for everyone who had tested positive for SARS-CoV-2 in Norway by end of June 2020 ( N = 8569) were linked at the individual level to hospitalization, receipt of invasive mechanical ventilation treatment and death measured to end of July 2020. Underlying comorbidity was proxied by hospital-based in- or outpatient treatment during the two months before the SARS-CoV-2 test. Multivariable generalized linear models were used to assess risk ratios (RRs). Results: Risk of hospitalization was particularly high for elderly (for those aged 90 and above: RR 9.5; 95% confidence interval (CI) 7.1–12.7; comparison group aged below 50), Norwegian residents born in Asia, Africa or Latin-America (RR 2.1; 95% CI 1.9–2.4; comparison group born in Norway), patients with underlying comorbidity (RR 1.6; 95% CI 1.4–1.8) and men (RR 1.3; 95% CI 1.2–1.5). Men and residents born in Africa, Asia and Latin-America were also at higher risk of receiving ventilation treatment and dying, but the mortality risk was especially high for the elderly (for those aged 90 and above: RR 607.9; 95% CI 145.5–2540.1; comparison group aged below 50) and residents in nursing homes (RR 4.2; 95% CI 3.1–5.7). Conclusions: High age was the most important predictor of severe disease and death if infected with SARS-CoV-2, and nursing home residents were at particularly high risk of death.

Background Reliable, easily accessible metrics of surgical quality are currently lacking. The HARM (HospitAl length of stay, Readmission and Mortality) score is a composite measure that has been validated across diverse surgical cohorts. The aim of this study was to validate the HARM score in a national population of patients undergoing abdominal surgery. Methods Data on all abdominal surgery in Norwegian hospitals from 2011 to 2017 were obtained from the Norwegian Patient Registry. Readmissions and 30‐day postoperative complications as well as deaths in and out of hospital were evaluated. The HARM scoring algorithm was tested after adjustment by establishing a newly proposed length of stay score. The correlation between the HARM score and complications, as well as the ability of aggregated HARM scores to discriminate between hospitals, were analysed. Risk adjustment models were developed for nationwide hospital comparisons. Results The data consisted of 407 113 primary operations on 295 999 patients in 85 hospitals. The HARM score was associated with complications and complication severity (Goodman–Kruskal γ value 0·59). Surgical specialty was the dominating variable for risk adjustment. Based on 1‐year data, the risk‐adjusted score classified 16 hospitals as low HARM score and 16 as high HARM score of the 53 hospitals that had at least 30 operations. Conclusion The HARM score correlates with major outcomes and is associated with the presence and severity of complications. After risk adjustment, the HARM score discriminated strongly between hospitals in a European population of abdominal surgery., The HARM score, calculated from length of stay, readmissions and postoperative mortality, was studied in a national gastrointestinal surgical population. It was found to be associated with complications and could differentiate between hospitals. benchmark in abdominal surgery

Background Less smoking should lead to fewer COPD cases. We aimed at estimating time trends in the prevalence and burden of COPD in Norway from 2001 to 2017. Methods We used pre-bronchodilator spirometry and other health data from persons aged 40-84 years in three surveys of the Tromso Study, 2001-2002, 2007-2008 and 2015-2016. We applied spirometry lower limits of normal (LLN) according to Global Lung Initiative 2012. Age-standardized prevalence was determined. We defined COPD as FEV1/FVC

Jon Helgeland, Doris Tove Kristoffersen, Katrine Damgaard Skyrud Division for Health Services, Norwegian Institute of Public Health, Oslo, NorwayCorrespondence: Jon Helgeland, Norwegian Institute of Public Health, PO Box 222 Skøyen, Oslo, 0213, Norway, Tel +47 464 00 443, Email Jon.Helgeland@fhi.noObjective: Health registries are important data sources for epidemiology, quality monitoring, and improvement. Acute myocardial infarction (AMI) is a common, serious condition. Little is known about variation in the positive predictive value (PPV) of a coded AMI diagnosis and its association with hospital quality indicators. The present study aimed to investigate the relationship between PPV and registry-based 30-day mortality after AMI admission and between-hospital variation in PPV.Study Design and Setting: An electronic record review was performed in a nationwide sample of Norwegian hospitals. Clinical signs and cardiac troponin measurements were abstracted and analyzed using a mixture model for likelihood ratios and parametric bootstrapping.Results: The overall PPV was estimated to be 97%. We found no statistically significant association between hospital PPV and the classification of hospitals into low, intermediate, and high registry-based 30-day mortality. There was significant variation between hospitals, with a PPV range of 91– 100%.Conclusion: We found no evidence that variation in PPV of AMI diagnosis can explain variation between hospitals in registry-based 30-day mortality after admission. However, PPV varied significantly between hospitals. We were able to use a very efficient statistical approach to the analysis and handling of various sources of uncertainty.Keywords: health registries, quality indicators, finite mixture models, case fatality, cardiac troponins

Importance: Vaccinations are paramount to halt the COVID-19 pandemic, and safety data are essential to determine the risk-benefit ratio of each COVID-19 vaccine. Objective: To evaluate the association between the AZD1222, BNT162b2, and mRNA-1273 vaccines and subsequent thromboembolic and thrombocytopenic events. Design, Setting, and Participants: This self-controlled case series used individual-level data from national registries in Norway, Finland, and Denmark. Participants included individuals with hospital contacts because of coronary artery disease, coagulation disorders, or cerebrovascular disease between January 1, 2020, and May 16, 2021. Exposures: AZD1222, BNT162b2, or mRNA-1273 vaccine. Main Outcomes and Measure: Relative rate (RR) of hospital contacts for coronary artery disease, coagulation disorders, or cerebrovascular disease in a 28-day period following vaccination compared with the control period prior to vaccination. Results: We found 265339 hospital contacts, of whom 112984 [43%] were for female patients, 246092 [93%] were for patients born in 1971 or earlier, 116931 [44%] were for coronary artery disease, 55445 [21%] were for coagulation disorders, and 92963 [35%] were for cerebrovascular disease. In the 28-day period following vaccination, there was an increased rate of coronary artery disease following mRNA-1273 vaccination (RR, 1.13 [95% CI, 1.02-1.25]), but not following AZD1222 vaccination (RR, 0.92 [95% CI, 0.82-1.03]) or BNT162b2 vaccination (RR, 0.96 [95% CI, 0.92-0.99]). There was an observed increased rate of coagulation disorders following all 3 vaccines (AZD1222: RR, 2.01 [95% CI, 1.75-2.31]; BNT162b2: RR, 1.12 [95% CI, 1.07-1.19]; and mRNA-1273: RR, 1.26 [95% CI, 1.07-1.47]). There was also an observed increased rate of cerebrovascular disease following all 3 vaccines (AZD1222: RR, 1.32 [95% CI, 1.16-1.52]; BNT162b2: RR, 1.09 [95% CI, 1.05-1.13]; and mRNA-1273: RR, 1.21 [95% CI, 1.09-1.35]). For individual diseases within the main outcomes, 2 notably high rates were observed: 12.04 (95% CI, 5.37-26.99) for cerebral venous thrombosis and 4.29 (95% CI, 2.96-6.20) for thrombocytopenia, corresponding to 1.6 (95% CI, 0.6-2.6) and 4.9 (95% CI, 2.9-6.9) excess events per 100000 doses, respectively, following AZD1222 vaccination. Conclusions and Relevance: In this self-controlled case series, there was an increased rate of hospital contacts because of coagulation disorders and cerebrovascular disease, especially for thrombocytopenia and cerebral venous thrombosis, following vaccination with AZD1222. Although increased rates of several thromboembolic and thrombocytopenic outcomes following BNT162b2 and mRNA-1273 vaccination were observed, these increases were less than the rates observed after AZD1222, and sensitivity analyses were not consistent. Confirmatory analysis on the 2 mRNA vaccines by other methods are warranted..

Mona Haugum,1,2 Hilde Hestad Iversen,1 Jon Helgeland,1 Anne Karin Lindahl,2,3 Oyvind Bjertnaes11Division of Health Services, Norwegian Institute of Public Health, Oslo, Norway; 2Department of Health Management and Health Economics, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway; 3Division of Surgery, Akershus University Hospital, Lorenskog, NorwayPurpose: The quality of health care is often measured using quality indicators, which can be utilized to compare the performance of health-care providers. Conducting comparisons in a meaningful and fair way requires the quality indicators to be adjusted for patient characteristics and other individual-level factors. The aims of the study were to develop and test a case-mix adjustment model for quality indicators based on patient-experience surveys among inpatients receiving interdisciplinary treatment for substance dependence, and to establish whether the quality indicators discriminate between health care providers.Patients and methods: Data were collected through two national surveys involving inpatients receiving residential treatment in Norway in 2013 and 2014. The same questionnaire was used in both surveys, and comprised three patient-experience scales. The scales are reported as national quality indicators, and associations between the scales and patient characteristics were tested through multilevel modeling to establish a case-mix model. The intraclass correlation coefficient was computed to assess the amount of variation at the hospital-trust level.Results: The intraclass correlation coefficient for the patient-reported experience scales varied from 2.3% for “treatment and personnel” to 8.1% for “milieu”. Multivariate multilevel regression analyses showed that alcohol reported as the most frequently used substance, gender and age were significantly associated with two of the three scales. The length of stay at the institution, pressure to be admitted for treatment, and self-perceived health were significantly related to all three scales. Explained variance at the individual level was approximately 7% for all three scales.Conclusion: This study identified several important case-mix variables for the patient-based quality indicators and systematic variations at the hospital-trust level. Future research should assess the association between patient-based quality indicators and other quality indicators, and the predictive validity of patient-experience indicators based on on-site measurements.Keywords: quality of health care, health care quality indicator, case-mix adjustment, patient satisfaction, survey &nbsp

Study Design.Retrospective administrative database study.Objective.To assess temporal and regional trends, and length of hospital stay, in lumbar spinal stenosis (LSS) surgery in Norwegian public hospitals from 1999 to 2013.Summary of Background Data.Studies from several countries have reported incr

Background: In mid-March 2020, the Norwegian government implemented measures to contain the coronavirus disease 2019 (COVID-19) pandemic, and hospitals prepared to handle an unpredictable inflow of patients with COVID-19. Aim: The study was performed to describe the changes in hospital admissions during the first phase of the pandemic. Methods: The Norwegian Institute of Public Health established a national preparedness register with daily updates on COVID-19 cases and the use of health services. We used individual-level information on inpatients from the electronic journal systems for all hospitals in Norway to estimate daily hospital admissions. Results: Before the onset of the pandemic in March, there was an average of 2400 inpatient admissions per day in Norway, which decreased to approximately 1500 in the first few days after lockdown measures were implemented. The relative magnitudes of the decreases were similar in men and women and across all age groups. The decreases were substantial for both elective (54%) and emergency (29%) inpatient care. The admission rate gradually increased and reached pre-pandemic levels in June. However, the reductions in admissions for pneumonia and chronic obstructive pulmonary disease seemed to persist. Conclusions: The elective and emergency inpatient admission rates were substantially reduced a few days after the pandemic response measures were implemented. The ways in which the lack or postponement of care may have affected the health and well-being of patients is an important issue to be addressed in future research.

Three different data sources exist for monitoring COVID-19-associated hospitalisations in Norway: The Directorate of Health, the Norwegian Intensive Care and Pandemic Registry (NIPaR), and the linking of the Norwegian Patient Registry (NPR) and the Norwegian Surveillance System for Communicable Diseases (MSIS). A comparison of results from different data sources is important to increase understanding of the data and to further optimise current and future surveillance. We compared results from the three data sources from March to June 2020.We analysed the number of new admissions, as well as the total number of hospitalised patients and those on ventilatory support, reported per day and by regional health authority. The analysis was descriptive.The cumulative number of new admissions according to NPR-MSIS (n=1260) was higher than NIPaR (n=1153). The discrepancy was high early in the epidemic (93 as of 29 March). The trend in the number of hospitalised patients was similar for all three sources throughout the study period. NPR-MSIS overestimated the number of hospitalised patients on ventilatory support.The discrepancy in new admissions between NIPaR and NPR-MSIS is primarily due to missing registrations for some patients admitted before NIPaR became operational. Basic information retrieved daily by the Directorate of Health give comparable results to more comprehensive daily information retrieval undertaken in NIPaR and NPR-MSIS, adjusted retrospectively. Further analysis is necessary regarding whether NIPaR and NPR-MSIS provide timely data and function as required in an emergency preparedness situation.

ObjectiveTo assess the effects of Covid-19 pandemic lockdown restrictions on the number of emergency and elective hip joint surgeries, and explore whether these procedures are more/less affected by lockdown restrictions than other hospital care.MethodsIn 1.344.355 persons aged ≥35 years in the Norwegian emergency preparedness (BEREDT C19) register, we studied the daily number of persons having 1) emergency surgeries due to hip fractures, and 2) electively planned surgeries due to hip osteoarthritis before and after Covid-19 lockdown restrictions were implemented nationally on March 13th 2020, for different age and sex groups. Incidence Rate Ratios [IRR] reflect the after-lockdown number of surgeries divided by the before-lockdown number of surgeries.ResultsAfter-lockdown elective hip surgeries were one third the number of before-lockdown (IRR ∼0.3), which is a greater drop than the drop seen in all-cause elective hospital care (IRR ∼0.6) (no age/sex differences). Men aged 35-69 had half the number of emergency hip fracture surgeries (IRR ∼0.6), whereas women aged ≥70 had the same number of emergency hip fracture surgeries after lockdown (IRR ∼1). Only women aged 35–69 and men aged ≥70 had emergency hip fracture surgery rates after lockdown comparable to what may be expected based on analyses of all-cause acute care (IRR ∼0.80)ConclusionImportant to note for future pandemics management is that lockdown restrictions may impact more on scheduled joint surgery than other scheduled hospital care. Lockdown may also impact on the number of emergency joint surgeries for men aged ≥35 but not for women aged ≥70.

Background Three different data sources exist for monitoring COVID-19-associated hospitalisations in Norway: The Directorate of Health, the Norwegian Intensive Care and Pandemic Registry (NIPaR), and the linking of the Norwegian Patient Registry (NPR) and the Norwegian Surveillance System for Communicable Diseases (MSIS). A comparison of results from different data sources is important to increase understanding of the data and to further optimise current and future surveillance. We compared results from the three data sources from March to June 2020. Material and method We analysed the number of new admissions, as well as the total number of hospitalised patients and those on ventilatory support, reported per day and by regional health authority. The analysis was descriptive. Results The cumulative number of new admissions according to NPR-MSIS (n=1260) was higher than NIPaR (n=1153). The discrepancy was high early in the epidemic (93 as of 29 March). The trend in the number of hospitalised patients was similar for all three sources throughout the study period. NPR-MSIS overestimated the number of hospitalised patients on ventilatory support. Interpretation The discrepancy in new admissions between NIPaR and NPR-MSIS is primarily due to missing registrations for some patients admitted before NIPaR became operational. Basic information retrieved daily by the Directorate of Health give comparable results to more comprehensive daily information retrieval undertaken in NIPaR and NPR-MSIS, adjusted retrospectively. Further analysis is necessary regarding whether NIPaR and NPR-MSIS provide timely data and function as required in an emergency preparedness situation.

Purpose: The coronavirus disease 2019 (COVID-19) emerged late 2019 and rapidly spread in a global pandemic causing over 1 million deaths by October 2020 National lockdown measures are believed to dramatically have limited the spread of the virus globally, but on the other side, may have had several unknown negative side effects on the planned and acute care for vulnerable groups In this study, we aimed to assess the effects of COVID-19 pandemic lockdown restrictions on the number of emergency and elective hip joint surgeries due to fractures and osteoarthritis (OA), respectively, and explore whether these procedures are more/less affected by lockdown restrictions than other hospital care Methods: In 1 344 355 persons aged ≥35 years in the Norwegian emergency preparedness (BEREDT C19) register, we studied the daily number of persons having 1) electively planned surgeries due to hip OA, and 2) emergency surgeries due to hip fractures before and after COVID-19 lockdown restrictions were implemented nationally on March 13th 2020, for different age and sex groups We also studied the daily number of all-cause elective- and all-cause emergency hospitalizations (>24 hours) For all our outcomes, we categorized dates in five 2-weeks periods before lockdown (March 13th 2020), and five 2-weeks periods after lockdown, covering a total time period from January 3rd 2020 to May 21st 2020 To observe trends in number of events over time, we compared the incidence rate ratios (IRR) for all the 2-week periods with the base level, which was defined as the two first weeks of January We also compared IRR in the 10 weeks before and after lockdown restrictions were implemented, using the entire period of 10 weeks before lockdown as base level (Jan 3rd-March 12th) The IRRs reflect the after-lockdown number of events divided by the before-lockdown number events Results: The IRRs for all the 2-weeks periods, for elective and emergency hip surgeries are presented in the Figure, indicating a large and consistent decrease in hip OA surgeries and a smaller but more age- and sex-dependent decrease in hip fracture surgeries More specifically, for the two 10-weeks periods before and after lockdown, we observed that the number of after-lockdown elective hip surgeries due to OA were one third of the number of before-lockdown elective hip surgeries due to OA, and the drop was similar for men and women above and below 70 years (IRR ∼0 3) This drop for hip OA surgeries was greater than the drop seen for all-cause elective hospital care (IRR ∼0 6, 95% CI=0 6-0 6) In contrast, the number of emergency hip fracture surgeries had a drop of a similar magnitude as that observed for all-cause emergency care (IRR=0 8, 95% CI=0 8-0 8) However, there were age and sex differences in the magnitude of the drop Men aged 35-69 had close to half the number of surgeries (IRR ∼0 6, 95% CI=0 6-0 6), whereas women aged ≥70 had the same number of emergency hip fracture surgeries after lockdown (IRR ∼1, 95% CI = 1-1) Only women aged 35-69 and men aged ≥70 had emergency hip fracture surgery rates after lockdown comparable to what may be expected based on analyses of all-cause acute care (IRR ∼0 8, 95% CI=0 8-0 8) Conclusions: We report a sudden and steep decrease in the daily number of planned hip joint surgeries due to OA, beginning on the day after lockdown restrictions were implemented in Norway on March 13th 2020 This decrease was greater than the decrease in other (all-cause) elective inpatient care for all age and sex groups Interestingly, we also report a consistent decrease of all-cause emergency inpatient care that only partly was found in age- and sex-specific analyses of emergency hip joint fracture surgeries We believe these findings are important to report for an improved knowledge foundation allowing for an optimal management of future pandemics of a similar or larger scale [Formula presented]

Background Thirty‐day mortality after hospitalization for stroke is commonly reported as a quality indicator. However, the impact of adjustment for individual and/or neighborhood sociodemographic status ( SDS ) has not been well documented. This study aims to evaluate the role of individual and contextual sociodemographic determinants in explaining the variation across hospitals in Norway and determine the impact when testing for hospitals with low or high mortality. Methods and Results Patient Administrative System data on all 45 448 patients admitted to hospitals in Norway with an incident stroke diagnosis from 2005 to 2009 were included. The data were merged with data from several databases to obtain information on vital status (dead/alive) and individual SDS variables. Logistic regression models were compared to estimate the predictive effect of individual and neighborhood SDS on 30‐day mortality and to determine outlier hospitals. All individual SDS factors, except travel time, were statistically significant predictors of 30‐day mortality. Of the municipal variables, only the municipal variable proportion of low income was statistically significant as a predictor of 30‐day mortality. Including sociodemographic characteristics of the individual and other characteristics of the municipality improved the model fit. However, performance classification was only changed for 1 (out of 56) hospital, from “significantly high mortality” to “nonoutlier.” Conclusions Our study showed that those stroke patients with a lower SDS have higher odds of dying after 30 days compared with those with a higher SDS , although this did not have a substantial impact when classifying providers as performing as expected, better than expected, or worse than expected.

Objective Response rates in surveys continue to fall, and electronic online versions are increasingly replacing paper questionnaires in order to save costs and time. This can influence the composition of the respondent group in surveys. Using data from a national survey of patient experiences with maternity care, we aimed to (1) classify all of the women invited to participate in the study according to their different probabilities of responding, based on registry data, and (2) classify all of the respondents according to different probabilities of choosing a paper questionnaire when an online alternative was available, based on registry and self-reported data. Results We found that the likelihood of responding to surveys is strongly influenced by background variables, with the age, number of previous births and geographic origin predicting the response probability (range 0.25–0.73). Education level predicted the likelihood of choosing a paper questionnaire. Women with less education would more likely (probability 0.50) than women with more education (probability 0.38) choose a paper questionnaire rather than answering online.

ObjectivesPostoperative wound dehiscence (PWD) is a serious complication to laparotomy, leading to higher mortality, readmissions and cost. The aims of the present study are to investigate whether risk adjusted PWD rates could reliably differentiate between Norwegian hospitals, and whether PWD rates were associated with hospital characteristics such as hospital type and laparotomy volume.DesignObservational study using patient administrative data from all Norwegian hospitals, obtained from the Norwegian Patient Registry, for the period 2011–2015, and linked using the unique person identification number.ParticipantsAll patients undergoing laparotomy, aged at least 15 years, with length of stay at least 2 days and no diagnosis code for immunocompromised state or relating to pregnancy, childbirth and puerperium. The final data set comprised 66 925 patients with 78 086 laparotomy episodes from 47 hospitals.OutcomesThe outcome was wound dehiscence, identified by the presence of a wound reclosure code, risk adjusted for patient characteristics and operation type.ResultsThe final data set comprised 1477 wound dehiscences. Crude PWD rates varied from 0% to 5.1% among hospitals, with an overall rate of 1.89%. Three hospitals with statistically significantly higher PWD than average were identified, after case mix adjustment and correction for multiple comparisons. Hospital volume was not associated with PWD rate, except that hospitals with very few laparotomies had lower PWD rates.ConclusionsAmong Norwegian hospitals, there is considerable variation in PWD rate that cannot be explained by operation type, age or comorbidity. This warrants further investigation into possible causes, such as surgical technique, perioperative procedures or handling of complications. The risk adjusted PWD rate after laparotomy is a candidate quality indicator for Norwegian hospitals.

BackgroundStudies from different Western countries have reported a rapid increase in spinal surgery rates, an increase that exceeds by far the growing incidence rates of spinal disorders in the general population. There are few studies covering all lumbar spine surgery and no previous studies from Norway.ObjectivesThe purpose of this study was to investigate trends in all lumbar spine surgery in Norway over 15 years, including length of hospital stay, and rates of complications and reoperations.DesignA longitudinal observational study over 15 years using hospital patient administrative data and sociodemographic data from the National Registry in Norway.Setting and participantsPatients aged ≥18 years discharged from Norwegian public hospitals between 1999 and 2013.Outcome measuresAnnual rates of simple (microsurgical discectomy, decompression) and complex surgical procedures (fusion, disc prosthesis) in the lumbar spine.ResultsThe rate of lumbar spine surgery increased by 54%, from 78 (95% CI (75 to 80)) to 120 (107 to 113) per 100 000, from 1999 to 2013. More men had simple surgery whereas more women had complex surgery. Among elderly people over 75 years, lumbar surgery increased by a factor of five during the 15-year period. The rates of complications were low, but increased from 0.7% in 1999 to 2.4% in 2013.ConclusionsThere was a substantial increase in lumbar spine surgery in Norway from 1999 to 2013, similar to trends in other Western world countries. The rise in lumbar surgery among elderly people represents a significant workload and challenge for health services, given our aging population.

Aims The aims of this study were to determine the rates of surgical complications, reoperations, and readmissions following herniated lumbar disc surgery, and to investigate the impact of sociodemographic factors and comorbidity on the rate of such unfavourable events. Patients and Methods This was a longitudinal observation study. Data from herniated lumbar disc operations were retrieved from a large medical database using a combination of procedure and diagnosis codes from all public hospitals in Norway from 1999 to 2013. The impact of age, gender, geographical affiliation, education, civil status, income, and comorbidity on unfavourable events were analyzed by logistic regression. Results Of 34 639 operations, 2.7% (95% confidence interval (CI) 2.6 to 2.9) had a surgical complication, 2.1% (95% CI 2.0 to 2.3) had repeat surgery within 90 days, 2.4% (95% CI 2.2 to 2.5) had a non-surgical readmission within 90 days, and 6.7% (95% CI 6.4 to 6.9) experienced at least one of these unfavourable events. Unfavourable events were found to be associated with advanced age and comorbidity. Conclusion The results suggest that surgical complications are less frequent than previously suggested. There are limited associations between sociodemographic patient characteristics and unfavourable events. Cite this article: Bone Joint J 2019;101-B:470–477.

Key Points Question Are the health outcomes of White US citizens living in the 1% and 5% richest counties better than the health outcomes of average residents in other developed countries? Findings In this comparative effectiveness study of 6 health outcomes, White US citizens in the 1% and 5% highest-income counties obtained better health outcomes than average US citizens but had worse outcomes for infant and maternal mortality, colon cancer, childhood acute lymphocytic leukemia, and acute myocardial infarction compared with average citizens of other developed countries. Meaning For 6 health outcomes, the health outcomes of White US citizens living in the 1% and 5% richest counties are better than those of average US citizens but are not consistently better than those of average residents in many other developed countries, suggesting that in the US, even if everyone achieved the health outcomes of White US citizens living in the 1% and 5% richest counties, health indicators would still lag behind those in many other countries., Importance The average health outcomes in the US are not as good as the average health outcomes in other developed countries. However, whether high-income US citizens have better health outcomes than average individuals in other developed countries is unknown. Objective To assess whether the health outcomes of White US citizens living in the 1% and 5% richest counties (hereafter referred to as privileged White US citizens) are better than the health outcomes of average residents in other developed countries. Design, Setting, and Participants This comparative effectiveness study, conducted from January 1, 2013, to December 31, 2015, identified White US citizens living in the 1% (n = 32) and 5% (n = 157) highest-income counties in the US and measured the following 6 health outcomes associated with health care interventions: infant and maternal mortality, colon and breast cancer, childhood acute lymphocytic leukemia, and acute myocardial infarction. The study used Organisation for Economic Co-operation and Development data, CONCORD-3 cancer data, and Medicare data to compare their outcomes with all residents in 12 other developed countries: Australia, Austria, Canada, Denmark, Finland, France, Germany, Japan, the Netherlands, Norway, Sweden, and Switzerland. Statistical analysis took place from July 25, 2017, to August 29, 2020. Main Outcomes and Measures Infant mortality; maternal mortality; 5-year survival of patients with colon cancer, breast cancer, or childhood acute lymphocytic leukemia; and 30-day age-standardized case fatality after acute myocardial infarction. Results The infant mortality rate among White US citizens in the 5% highest-income counties was 4.01 per 1000, and the maternal mortality rate among White US citizens in the 5% highest-income counties was 10.85 per 100 000, both higher than the mean rates for any of the 12 comparison countries. (The infant mortality rate for the top 1% counties was 3.54 per 1000, and the maternal mortality rate was 10.05 per 100 000.) The 5-year survival rate for White US citizens in the 5% highest-income counties was 67.2% (95% CI, 66.7%-67.7%) for colon cancer, higher than that of average US citizens (64.9% [95% CI, 64.7%-65.1%]) and average citizens in 6 countries, comparable with that of average citizens in 4 countries, and lower than that of average citizens for 2 countries. The 5-year survival rate for breast cancer among White US women in the 5% highest-income US counties was 92.0% (95% CI, 91.6%-92.4%), higher than in all 12 comparison countries. The 5-year survival rate for White children with acute lymphocytic leukemia in the 5% highest-income US counties was 92.6% (95% CI, 90.7%-94.2%), exceeding the mean survival rate for only 1 country and comparable with the mean survival rates in 11 countries. The adjusted 30-day acute myocardial infarction case-fatality rate for White US citizens in the 5% highest-income US counties was 8% below the rate for all US citizens and was 5% below the rate for all US citizens in the 1% highest-income US counties; these estimates were similar to the median outcome of other high-income countries. Conclusions and Relevance This study suggests that privileged White US citizens have better health outcomes than average US citizens for 6 health outcomes but often fare worse than the mean measure of health outcomes of 12 other developed countries. These findings imply that even if all US citizens experienced the same health outcomes enjoyed by privileged White US citizens, US health indicators would still lag behind those in many other countries., This comparative effectiveness study assesses whether the health outcomes of White US citizens living in the 1% and 5% richest counties are better than the health outcomes of average residents in other developed countries.

ObjectiveTo evaluate the effects of external inspections on (1) hospital emergency departments’ clinical processes for detecting and treating sepsis and (2) length of hospital stay and 30-day mortality.DesignIncomplete cluster-randomised stepped-wedge design using data from patient records and patient registries. We compared care processes and patient outcomes before and after the intervention using regression analysis.SettingNationwide inspections of sepsis care in emergency departments in Norwegian hospitals.Participants7407 patients presenting to hospital emergency departments with sepsis.InterventionExternal inspections of sepsis detection and treatment led by a public supervisory institution.Main outcome measuresProcess measures for sepsis diagnostics and treatment, length of hospital stay and 30-day all-cause mortality.ResultsAfter the inspections, there were significant improvements in the proportions of patients examined by a physician within the time frame set in triage (OR 1.28, 95% CI 1.07 to 1.53), undergoing a complete set of vital measurements within 1 hour (OR 1.78, 95% CI 1.10 to 2.87), having lactate measured within 1 hour (OR 2.75, 95% CI 1.83 to 4.15), having an adequate observation regimen (OR 2.20, 95% CI 1.51 to 3.20) and receiving antibiotics within 1 hour (OR 2.16, 95% CI 1.83 to 2.55). There was also significant reduction in mortality and length of stay, but these findings were no longer significant when controlling for time.ConclusionsExternal inspections were associated with improvement of sepsis detection and treatment. These findings suggest that policy-makers and regulatory agencies should prioritise assessing the effects of their inspections and pay attention to the mechanisms by which the inspections might contribute to improve care for patients.Trial registrationNCT02747121.

Retrospective administrative database study.To assess temporal and regional trends, and length of hospital stay, in lumbar spinal stenosis (LSS) surgery in Norwegian public hospitals from 1999 to 2013.Studies from several countries have reported increasing rates of LSS surgery over the last decades. No such data have been presented from Norway.A database consisting of discharges from all Norwegian public hospitals was established. Inclusion criteria were discharges including a surgical procedure of lumbar spinal decompression and/or fusion in combination with an International Statistical Classification of Diseases and Related Health Problems, 10th Revision diagnosis of Spinal Stenosis (M48.0) or Other Spondylosis with Radiculopathy (M47.2), and a patient age of 18 years or older. Discharges with diagnoses indicating deformity, that is, spondylolisthesis or scoliosis were not included.During the 15-year period, 19,543 discharges were identified. The annual rate of decompressions increased from 10.7 to 36.2 and fusions increased from 2.5 to 4.4 per 100,000 people of the general Norwegian population. The proportion of fusion surgery decreased from 19.3% to 10.9%. Among individuals older than 65 years, the annual rate of surgery per 10,000, including both decompressions and fusions, more than quadrupled from 40.2 to 170.3. The regional variation was modest, differing with a factor of 1.4 between the region with the highest and the lowest surgical rates. The mean length of hospital stay decreased from 11.0 (standard deviation 8.0) days in 1999 to 5.0 (4.6) days in 2013, but patients who received fusion surgery stayed on average 3.6 days longer than those who received decompression only.The rate of LSS surgery more than tripled in Norway from 1999 to 2013. The mean length of hospital stay was reduced from 11 to 5 days.N/A.

IntroductionInspections are widely used in health care as a means to improve the health services delivered to patients. Despite their widespread use, there is little evidence of their effect. The mechanisms for how inspections can promote change are poorly understood. In this study, we use a national inspection campaign of sepsis detection and initial treatment in hospitals as case to: (1) Explore how inspections affect the involved organizations. (2) Evaluate what effect external inspections have on the process of delivering care to patients, measured by change in indicators reflecting how sepsis detection and treatment is carried out. (3) Evaluate whether external inspections affect patient outcomes, measured as change in the 30-day mortality rate and length of hospital stay.Methods and analysisThe intervention that we study is inspections of sepsis detection and treatment in hospitals. The intervention will be rolled out sequentially during 12 months to 24 hospitals. Our effect measures are change on indicators related to the detection and treatment of sepsis, the 30-day mortality rate and length of hospital stay. We collect data from patient records at baseline, before the inspections, and at 8 and 14 months after the inspections. We use logistic regression models and linear regression models to compare the various effect measurements between the intervention and control periods. All the models will include time as a covariate to adjust for potential secular changes in the effect measurements during the study period. We collect qualitative data before and after the inspections, and we will conduct a thematic content analysis to explore how inspections affect the involved organisations.Ethics and disseminationThe study has obtained ethical approval by the Regional Ethics Committee of Norway Nord and the Norwegian Data Protection Authority. It is registered at www.clinicaltrials.gov (Identifier:NCT02747121). Results will be reported in international peer-reviewed journals.Trial RegistrationNCT02747121; Pre-results.

Background It is indicated that healthcare personnel’s perceptions of the work environment may reflect the clinical outcomes for the patients they care for. However, the body of evidence is inconsistent when it comes to the association between work environment and surgical site infection. Objectives The aim of this study is to examine the associations between nurse-reported characteristics of the work environment and incidence of surgical site infections after total hip arthroplasty. Design and settings This is a cross-sectional multicentre study conducted in 16 Norwegian hospitals. Participants Clinical outcomes for 2885 patients >18years that underwent total hip arthroplasty are combined with work environment descriptions from 320 nurses. Materials and methods We combine data about surgical site infections from The Norwegian Surveillance System for Antibiotic Consumption and Healthcare-Associated Infections and hospital characteristics such as overall survival probability (from administrative patient data) and nurses’ reports of characteristics of the work environment (from a multicentre survey among nurses in Norwegian hospitals). Stepwise mixed-effects logistic regression model was performed to examine the associations between characteristics of the work environment and surgical site infections. Results The incidence of surgical site infection among 2885 patients undergoing total hip arthroplasty in 16 Norwegian hospitals was 2.6%. Older age, elective procedures and high scores for staffing adequacy were associated with risk for surgical site infection. The association between high scores for adequate staffing and low risk for surgical site infections was present for patients that were admitted for an elective procedure, but not for patients admitted for a non-elective procedure. Conclusion Our results show that the risk of surgical site infections after elective total hip arthroplasty was lower in hospitals where nurses assessed staffing as adequate. Our findings add to the existing literature that examines the linkage between work environment and clinical outcomes. Keywords Health services research Patient safety Quality of health care Surgical wound infection Work environment

Background The purpose of this study was to assess the validity of patient administrative data (PAS) for calculating 30-day mortality after hip fracture as a quality indicator, by a retrospective study of medical records. Methods We used PAS data from all Norwegian hospitals (2005–2009), merged with vital status from the National Registry, to calculate 30-day case-mix adjusted mortality for each hospital (n = 51). We used stratified sampling to establish a representative sample of both hospitals and cases. The hospitals were stratified according to high, low and medium mortality of which 4, 3, and 5 hospitals were sampled, respectively. Within hospitals, cases were sampled stratified according to year of admission, age, length of stay, and vital 30-day status (alive/dead). The final study sample included 1043 cases from 11 hospitals. Clinical information was abstracted from the medical records. Diagnostic and clinical information from the medical records and PAS were used to define definite and probable hip fracture. We used logistic regression analysis in order to estimate systematic between-hospital variation in unmeasured confounding. Finally, to study the consequences of unmeasured confounding for identifying mortality outlier hospitals, a sensitivity analysis was performed. Results The estimated overall positive predictive value was 95.9% for definite and 99.7% for definite or probable hip fracture, with no statistically significant differences between hospitals. The standard deviation of the additional, systematic hospital bias in mortality estimates was 0.044 on the logistic scale. The effect of unmeasured confounding on outlier detection was small to moderate, noticeable only for large hospital volumes. Conclusions This study showed that PAS data are adequate for identifying cases of hip fracture, and the effect of unmeasured case mix variation was small. In conclusion, PAS data are adequate for calculating 30-day mortality after hip-fracture as a quality indicator in Norway.

Introduction A common quality indicator for monitoring and comparing hospitals is based on death within 30 days of admission. An important use is to determine whether a hospital has higher or lower mortality than other hospitals. Thus, the ability to identify such outliers correctly is essential. Two approaches for detection are: 1) calculating the ratio of observed to expected number of deaths (OE) per hospital and 2) including all hospitals in a logistic regression (LR) comparing each hospital to a form of average over all hospitals. The aim of this study was to compare OE and LR with respect to correctly identifying 30-day mortality outliers. Modifications of the methods, i.e., variance corrected approach of OE (OE-Faris), bias corrected LR (LR-Firth), and trimmed mean variants of LR and LR-Firth were also studied. Materials and methods To study the properties of OE and LR and their variants, we performed a simulation study by generating patient data from hospitals with known outlier status (low mortality, high mortality, non-outlier). Data from simulated scenarios with varying number of hospitals, hospital volume, and mortality outlier status, were analysed by the different methods and compared by level of significance (ability to falsely claim an outlier) and power (ability to reveal an outlier). Moreover, administrative data for patients with acute myocardial infarction (AMI), stroke, and hip fracture from Norwegian hospitals for 2012–2014 were analysed. Results None of the methods achieved the nominal (test) level of significance for both low and high mortality outliers. For low mortality outliers, the levels of significance were increased four- to fivefold for OE and OE-Faris. For high mortality outliers, OE and OE-Faris, LR 25% trimmed and LR-Firth 10% and 25% trimmed maintained approximately the nominal level. The methods agreed with respect to outlier status for 94.1% of the AMI hospitals, 98.0% of the stroke, and 97.8% of the hip fracture hospitals. Conclusion We recommend, on the balance, LR-Firth 10% or 25% trimmed for detection of both low and high mortality outliers.

Objectives To evaluate survival curves (Kaplan-Meier) as a means of identifying areas in the clinical pathway amenable to quality improvement. Design Observational before–after study. Setting In Norway, annual public reporting of nationwide 30-day in-and-out-of-hospital mortality (30D) for three medical conditions started in 2011: first time acute myocardial infarction (AMI), stroke and hip fracture; reported for 2009. 12 of 61 hospitals had statistically significant lower/higher mortality compared with the hospital mean. Participants Three hospitals with significantly higher mortality requested detailed analyses for quality improvement purposes: Telemark Hospital Trust Skien (AMI and stroke), Ostfold Hospital Trust Fredrikstad (stroke), Innlandet Hospital Trust Gjovik (hip fracture). Outcome measures Survival curves, crude and risk-adjusted 30D before (2008–2009) and after (2012–2013). Interventions Unadjusted survival curves for the outlier hospitals were compared to curves based on pooled data from the other hospitals for the 30-day period 2008–2009. For patients admitted with AMI (Skien), stroke (Fredrikstad) and hip fracture (Gjovik), the curves suggested increased mortality from the initial part of the clinical pathway. For stroke (Skien), increased mortality appeared after about 8 days. The curve profiles were thought to reflect suboptimal care in various phases in the clinical pathway. This informed improvement efforts. Results For 2008–2009, hospital-specific curves differed from other hospitals: borderline significant for AMI (p=0.064), highly significant (p≤0.005) for the remainder. After intervention, no difference was found (p>0.188). Before–after comparison of the curves within each hospital revealed a significant change for Fredrikstad (p=0.006). For the three hospitals, crude 30D declined and they were non-outliers for risk-adjusted 30D for 2013. Conclusions Survival curves as a supplement to 30D may be useful for identifying suboptimal care in the clinical pathway, and thus informing design of quality improvement projects.

Background Norway introduced 32 priority guidelines for elective health treatment in the specialist health service in the period 2008–9. The guidelines were intended to reduce large differences in waiting times among hospitals, streamline referrals and ensure that patients accessed the necessary healthcare to which they were entitled for certain conditions. Referral information guided the priorities. As the referral information was key to future evaluation of the guidelines, this study validates the referral information in hospital patient records against discharge diagnoses, because only the discharge diagnosis is recorded in the Norwegian Patient Register (NPR) database, which is used in the main evaluation. Methods Of the specific conditions from 10 priority guidelines, 20 were selected for review for the period 2008–9 at 4 hospitals in Norway. The ICD-10 diagnoses per disease or condition were given in retrospect by clinicians who participated in the expert groups developing the priority guidelines. Reasons for deviations between referral information and discharge diagnoses were coded into four categories, according to the degree of precision of the former compared with the latter. Results In all, 1854 medical records were available for review. The diagnostic precision of the referrals differed significantly between hospitals, and across the 2 years 2008 and 2009. The overall sensitivity was 0.93 (95% confidence interval 0.92–0.94). For the separate conditions, sensitivity was in the range 0.60–1.00. Experience showed that it was necessary to pay careful attention to the selection of ICD-10 diagnoses for identifying patients. The medical records of psychiatry patients were unavailable in some cases and for certain conditions some were unavailable after use of our record extraction algorithm. Conclusion The sensitivity of the referral information on diagnosis or condition was high compared with the discharge diagnosis for the 20 selected conditions from the 10 priority guidelines. Although the review assessed a limited number of the total, we consider the results sufficiently representative and, hence, they will allow use of the NPR data for analyses of the introduction and follow-up of the 32 priority guidelines.

Background There is a growing body of evidence for associations between the work environment and patient outcomes. A good work environment may maximise healthcare workers’ efforts to avoid failures and to facilitate quality care that is focused on patient safety. Several studies use nurse-reported quality measures, but it is uncertain whether these outcomes are correlated with clinical outcomes. The aim of this study was to determine the correlations between hospital-aggregated, nurse-assessed quality and safety, and estimated probabilities for 30-day survival in and out of hospital. Methods In a multicentre study involving almost all Norwegian hospitals with more than 85 beds (sample size=30, information about nurses’ perceptions of organisational characteristics were collected. Subscales from this survey were used to describe properties of the organisations: quality system, patient safety management, nurse–physician relationship, staffing adequacy, quality of nursing and patient safety. The average scores for these organisational characteristics were aggregated to hospital level, and merged with estimated probabilities for 30-day survival in and out of hospital (survival probabilities) from a national database. In this observational, ecological study, the relationships between the organisational characteristics (independent variables) and clinical outcomes (survival probabilities) were examined. Results Survival probabilities were correlated with nurse-assessed quality of nursing. Furthermore, the subjective perception of staffing adequacy was correlated with overall survival. Conclusions This study showed that perceived staffing adequacy and nurses’ assessments of quality of nursing were correlated with survival probabilities. It is suggested that the way nurses characterise the microsystems they belong to, also reflects the general performance of hospitals.

Objectives: The purpose of this study was to identify organisational processes and structures that are associated with nurse-reported patient safety and quality of nursing. Design: This is an observational cross-sectional study using survey methods. Setting: Respondents from 31 Norwegian hospitals with more than 85 beds were included in the survey. Participants: All registered nurses working in direct patient care in a position of 20% or more were invited to answer the survey. In this study, 3618 nurses from surgical and medical wards responded (response rate 58.9). Nurses’ practice environment was defined as organisational processes and measured by the Nursing Work Index Revised and items from Hospital Survey on Patient Safety Culture. Outcome measures: Nurses’ assessments of patient safety, quality of nursing, confidence in how their patients manage after discharge and frequency of adverse events were used as outcome measures. Results: Quality system, nurse–physician relation, patient safety management and staff adequacy were process measures associated with nurse-reported work-related and patient-related outcomes, but we found no associations with nurse participation, education and career and ward leadership. Most organisational structures were non-significant in the multilevel model except for nurses’ affiliations to medical department and hospital type. Conclusions: Organisational structures may have minor impact on how nurses perceive work-related and patient-related outcomes, but the findings in this study indicate that there is a considerable potential to address organisational design in improvement of patient safety and quality of care.

Background The organization of nursing services could be important to the quality of patient care and staff satisfaction. However, there is no universally accepted nomenclature for this organization. The objective of the current study was to classify general hospital wards based on data describing organizational practice reported by the ward nurse managers, and then to compare this classification with the name used in the wards to identify the organizational model (self-identification). Methods In a cross-sectional postal survey, 93 ward nurse managers in Norwegian hospitals responded to questions about nursing organization in their wards, and what they called their organizational models. K-means cluster analysis was used to classify the wards according to the pattern of activities attributed to the different nursing roles and discriminant analysis was used to interpret the solutions. Cross-tabulation was used to validate the solutions and to compare the classification obtained from the cluster analysis with that obtained by self-identification. The bootstrapping technique was used to assess the generalizability of the cluster solution. Results The cluster analyses produced two alternative solutions using two and three clusters, respectively. The three-cluster solution was considered to be the best representation of the organizational models: 32 team leader-dominated wards, 23 primary nurse-dominated wards and 38 wards with a hybrid or mixed organization. There was moderate correspondence between the three-cluster solution and the models obtained by self-identification. Cross-tabulation supported the empirical classification as being representative for variations in nursing service organization. Ninety-four per cent of the bootstrap replications showed the same pattern as the cluster solution in the study sample. Conclusions A meaningful classification of wards was achieved through an empirical cluster solution; this was, however, only moderately consistent with the self-identification. This empirical classification is an objective approach to variable construction and can be generally applied across Norwegian hospitals. The classification procedure used in the study could be developed into a standardized method for classifying hospital wards across health systems and over time.

Objective To assess the data quality of two approaches to scaling items within the Patient Experiences Questionnaire (PEQ); a five-point scale with descriptors for all scale points and a 10-point scale with descriptors only at the end points. Study Design and Setting The two versions were pretested through cognitive interviews with 14 patients. The PEQ was then mailed to 1,000 patients after inpatient treatment at a large university hospital in Norway, randomized to receive the 5- or 10-point scale versions. Response rates, missing data, item means, floor, and ceiling effects were assessed. Regression analysis was used to examine the impact of response scale on missing data, floor, and ceiling effects after controlling for age, education level, and health status. Results The five-point scale produced data with unimodal and fairly symmetric distributions in contrast to the highly skewed J- and U-shaped distributions for the 10-point scale. The five-point scale data had significantly lower item means, floor, and ceiling effects. Regression analysis showed that the type of scale explained a significant component of the variation in both floor and ceiling effects. Conclusion The five-point scale performed better than the 10-point scale and is more suitable for assessing patient experiences. The revised PEQ will be used in Norwegian national surveys.

Parent assessment of outpatient child and adolescent mental health services (CAMHS) is now part of the Norwegian quality indicator system. This national survey included a validated questionnaire that assessed three aspects of care from a parental perspective.Questionnaires were mailed to 17,080 parents of children and adolescents receiving care from CAMHS on an outpatient basis between 1 September and 31 December 2006. Two postal reminders were sent and telephone interviews were conducted with a sample of non-respondents. 7 906 (46%) parents returned a completed questionnaire. Three scales about treatment providers, treatment outcome and information/influence were identified (scales scored 0 to 100 where 100 represent the best experiences).The parents were most satisfied with the treatment providers (national mean 75). The national mean for the treatment outcome was 72 and for the scale concerning information and patients' possibilities to influence decisions the mean score was 59. The clinic scores varied considerably; the score for information and influence varied most (48-68). Few scores were however significantly different from the national average.Most parents have good experience with the CAMHS. The scale concerning information and influence has the greatest potential for improvement. Several CAMHS had higher scores for all aspects of parent experience and may have useful information to convey to other clinics.

General practitioners' evaluation of Community Mental Health Centres (CMHC) has become a part of the Norwegian system of quality indicators. On the basis of a national survey, we present the way in which GPs have assessed the quality of 77 CMHCs.A questionnaire was posted to every GP in Norway from November 2005 to March 2006. This was followed up with 2-3 reminders and telephone interviews. 2,415 out of 3,704 GPs (65%) responded.GPs gave highest score for professional competence, the average being 55 on a scale of 0-100, where 100 is best. They gave lowest score for counselling (30) and staff situation (45). The average score given to the various CMHCs varied a lot for all dimensions, the largest difference being for counselling, with the highest average 58 and the lowest 8. There were many significant differences between various CMHCs' scores and the national average. When it came to counselling, the average score for 20 CMHCs was significantly different from that for the other CMHCs.As GPs are important collaborators and users of the CMHCs, their views are valuable. The present findings need to be discussed. Many of the community mental health centres received all in all positive feedback from the GPs, suggesting that they may have useful experiences to share.

Rapporten analyserer markedsstrukturer for skjell i det europeiske markedet, og består av 6 avsnitt. I rapportens innledende del avgrenses først problemstillinger, deretter følger et kapittel som beskriver aspekter vedrørende biologi, produksjon, og marked for blåskjell, østers og kamskjell i europeisk sammenheng. Neste del utvikler og binder sammen markedsintegrasjon og produktaggregeringsteori, som er grunnlaget for den empiriske analysen. Denne teorien med hypoteser og empiriske tester, operasjonaliseres matematisk i kapittel 4. I den praktiske delen finner jeg at Frankrike er det dominerende konsummarkedet for skjell. I tillegg viser analysene at Nederland og Danmark er viktige produsentland for henholdsvis levende og frosne blåskjell. For østers er Frankrike det dominerende konsum og produsentlandet. For levende kamskjell og frosne Coquilles St.Jaques ser Frankrike ut til å være det største konsummarkedet og Storbritannia en viktig produsent. For samlekategorien av frosne kamskjell er det flere betydelige produsentland verden over. Avslutningsvis ser det generelt ut til at frosne og levende skjell på tvers av skjelltypene ikke følger samme pristrender over tid.