Regional variation and temporal trends in transcatheter and surgical aortic valve replacement in Switzerland: A population-based small area analysis.

BACKGROUND: Aortic valve stenosis (AS) is the most common valvular heart disease and if severe, is treated with either transcatheter (TAVR) or surgical aortic valve replacement (SAVR). We assessed temporal trends and regional variation of these interventions in Switzerland and examined potential determinants of geographic variation. METHODS: We conducted a population-based analysis using patient discharge data from all Swiss public and private acute care hospitals from 2013 to 2018. We generated hospital service areas (HSAs) based on patient flows for TAVR. We calculated age-standardized mean procedure rates and variation indices (extremal quotient [EQ] and systematic component of variation [SCV]). Using multilevel regression, we calculated the influence of calendar year and regional demographics, socioeconomic factors (language, insurance status), burden of disease, and number of cardiologists/cardiovascular surgeons on geographic variation. RESULTS: Overall, 8074 TAVR and 11,825 SAVR procedures were performed in 8 HSAs from 2013 to 2018. Whereas the age-/sex-standardized rate of TAVR increased from 12 to 22 procedures/100,000 persons, the SAVR rate decreased from 33 to 24 procedures during this period. After full adjustment, the predicted TAVR and SAVR rates varied from 12 to 22 and 20 to 35 per 100,000 persons across HSAs, respectively. The regional procedure variation was low to moderate over time, with a low overall variation in TAVR (EQ 1.9, SCV 3.9) and SAVR (EQ 1.6, SCV 2.2). In multilevel regression, TAVR rates increased annually by 10% and SAVR rates decreased by 5%. Determinants of higher TAVR rates were older age, male sex, living in a German speaking area, and higher burden of disease. A higher proportion of (semi)private insurance was also associated with higher TAVR and lower SAVR rates. After full adjustment, 10.6% of the variance in TAVR and 18.4% of the variance in SAVR remained unexplained. Most variance in TAVR and SAVR rates was explained by language region and insurance status. CONCLUSION: The geographic variation in TAVR and SAVR rates was low to moderate across Swiss regions and largely explained by differences in regional demographics and socioeconomic factors. The use of TAVR increased at the expense of SAVR over time.

Development and internal validation of a prediction model for long-term opioid use-an analysis of insurance claims data.

ABSTRACT: In the United States, a public-health crisis of opioid overuse has been observed, and in Europe, prescriptions of opioids are strongly increasing over time. The objective was to develop and validate a multivariable prognostic model to be used at the beginning of an opioid prescription episode, aiming to identify individual patients at high risk for long-term opioid use based on routinely collected data. Predictors including demographics, comorbid diseases, comedication, morphine dose at episode initiation, and prescription practice were collected. The primary outcome was long-term opioid use, defined as opioid use of either >90 days duration and ≥10 claims or >120 days, independent of the number of claims. Traditional generalized linear statistical regression models and machine learning approaches were applied. The area under the curve, calibration plots, and the scaled Brier score assessed model performance. More than four hundred thousand opioid episodes were included. The final risk prediction model had an area under the curve of 0.927 (95% confidence interval 0.924-0.931) in the validation set, and this model had a scaled Brier score of 48.5%. Using a threshold of 10% predicted probability to identify patients at high risk, the overall accuracy of this risk prediction model was 81.6% (95% confidence interval 81.2% to 82.0%). Our study demonstrated that long-term opioid use can be predicted at the initiation of an opioid prescription episode, with satisfactory accuracy using data routinely collected at a large health insurance company. Traditional statistical methods resulted in higher discriminative ability and similarly good calibration as compared with machine learning approaches.

Variation in regional implantation patterns of cardiac implantable electronic device in Switzerland.

INTRODUCTION: There is a substantial geographical variation in the rates of pacemaker (PM), implantable cardioverter defibrillator (ICD), and cardiac resynchronization therapy (CRT) device implantation across European countries. We assessed the extent of regional variation and potential determinants of such variation. METHODS: We conducted a population-based analysis using discharge data for PM/ICD/CRT implantations from all Swiss acute care hospitals during 2013-2016. We derived hospital service areas (HSA) by analyzing patient flows. We calculated age- and sex-standardized rates and quantified variation using the extremal quotient (EQ) and the systemic component of variation (SCV). We estimated the reduction in variance of crude implantation rates across HSAs using multilevel regression models, with incremental adjustment for age and sex, language, socioeconomic factors, population health, diabetes mellitus, and the density of cardiologists on the HSA level. RESULTS: We analyzed implantations of 8129 PM, 1461 ICD, and 1411 CRT from 25 Swiss HSAs. The mean age- and sex-standardized implantation rate was 29 (range 8-57) per 100,000 persons for PM, 5 (1-9) for ICD, and 5 (2-8) for CRT. There was a very high variation in PM (EQ 7.0; SCV 12.6) and ICD (EQ 7.2; SCV 11.3) and a high variation in CRT implantation rates (EQ 3.9; SCV 7.1) across HSAs. Adjustments for age and sex, language, socioeconomic factors, population health, diabetes mellitus, and density of cardiologists explained 94% of the variance in ICD and 87.5% of the variance in CRT implantation rates, but only 36.3% of the variance in PM implantation rates. Women had substantially lower PM/ICD/CRT implantation rates than men. CONCLUSION: Switzerland has a very high regional variation in PM/ICD implantation and a high variation in CRT implantation rates. Women had substantially lower implantation rates than men. A large share of the variation in PM procedure rates remained unexplained which might reflect variations in physicians' preferences and practices.

Increased risk of adverse events in non-cancer patients with chronic and high-dose opioid use-A health insurance claims analysis.

BACKGROUND: Chronic and high dose opioid use may result in adverse events. We analyzed the risk associated with chronic and high dose opioid prescription in a Swiss population. METHODS: Using insurance claims data covering one-sixth of the Swiss population, we analyzed recurrent opioid prescriptions (≥2 opioid claims with at least 1 strong opioid claim) between 2006 and 2014. We calculated the cumulative dose in milligrams morphine equivalents (MED) and treatment duration. Excluded were single opioid claims, opioid use that was cancer treatment related, and opioid use in substitution programs. We assessed the association between the duration of opioid use, prescribed opioid dose, and benzodiazepine use with emergency department (ED) visits, urogenital and pulmonary infections, acute care hospitalization, and death at the end of the episode. RESULTS: In 63,642 recurrent opioid prescription episodes (acute 38%, subacute 7%, chronic 25.8%, very chronic (>360 days) episodes 29%) 18,336 ED visits, 30,209 infections, 19,375 hospitalizations, and 9,662 deaths occurred. The maximum daily MED dose was <20 mg in 15.8%, 20-<50 mg in 16.6%, 50-<100 mg in 21.6%, and ≥100 mg in 46%. Compared to acute episodes (<90 days), episode duration was an independent predictor of ED visits (chronic OR 1.09 (95% CI 1.03-1.15), very chronic (>360 days) OR 1.76 (1.67-1.86)) for adverse effects; infections (chronic OR 1.74 (1.66-1.82), very chronic 4.16 (3.95-4.37)), and hospitalization (chronic: OR 1.22 (1.16-1.29), very chronic OR 1.82 (1.73-1.93)). The risk of death decreased over time (very chronic OR 0.46 (0.43-0.50)). A dose dependent increased risk was observed for ED visits, hospitalization, and death (≥100mg daily MED OR 1.21 (1.13-1.29), OR 1.29 (1.21-1.38), and OR 1.67, 1.50-1.85, respectively). A concomitant use of benzodiazepines increased the odds for ED visits by 46% (OR 1.46, 1.41-1.52), infections by 44% (OR 1.44, 1.41-1.52), hospitalization by 12% (OR 1.12, 1.07-1.1), and death by 45% (OR 1.45, 1.37-1.53). CONCLUSION: The length of opioid use and higher prescribed morphine equivalent dose were independently associated with an increased risk for ED visits and hospitalizations. The risk for infections, ED visits, hospitalizations, and death also increased with concomitant benzodiazepine use.

Regional variation in hip and knee arthroplasty rates in Switzerland: A population-based small area analysis.

BACKGROUND: Compared to other OECD countries, Switzerland has the highest rates of hip (HA) and knee arthroplasty (KA). OBJECTIVE: We assessed the regional variation in HA/KA rates and potential determinants of variation in Switzerland. METHODS: We conducted a population-based analysis using discharge data from all Swiss hospitals during 2013-2016. We derived hospital service areas (HSAs) by analyzing patient flows. We calculated age-/sex-standardized procedure rates and measures of variation (the extremal quotient [EQ, highest divided by lowest rate] and the systemic component of variation [SCV]). We estimated the reduction in variance of HA/KA rates across HSAs in multilevel regression models, with incremental adjustment for procedure year, age, sex, language, urbanization, socioeconomic factors, burden of disease, and the number of orthopedic surgeons. RESULTS: Overall, 69,578 HA and 69,899 KA from 55 HSAs were analyzed. The mean age-/sex-standardized HA rate was 265 (range 179-342) and KA rate was 256 (range 186-378) per 100,000 persons and increased over time. The EQ was 1.9 for HA and 2.5 for KA. The SCV was 2.0 for HA and 2.2 for KA, indicating a low variation across HSAs. When adjusted for procedure year and demographic, cultural, and sociodemographic factors, the models explained 75% of the variance in HA and 63% in KA across Swiss HSAs. CONCLUSION: Switzerland has high HA/KA rates with a modest regional variation, suggesting that the threshold to perform HA/KA may be uniformly low across regions. One third of the variation remained unexplained and may, at least in part, represent differing physician beliefs and attitudes towards joint arthroplasty.

Opioid Prescription in Switzerland: Appropriate Comedication use in Cancer and Noncancer Pain.

BACKGROUND: In Europe, limited information on the use of opioids is available. OBJECTIVES: To assess how guideline recommendations to manage opioid-related adverse events were followed in cancer- and noncancer-related opioid use. STUDY DESIGN: Analysis of health insurance data of one of the major health insurers in Switzerland. SETTING: All opioid claims between 2006 and 2014. METHODS: Opioid episodes were cancer-related when cancer treatments were used within ± 3 months of the first opioid claim. Recurrent strong episodes were defined as >/= 2 opioid claims with at least one strong opioid claim. Episode duration were acute (< 90 days), subacute, or chronic (>/= 120 days >/= 90 days +>/= 10 claims). RESULTS: Out of 591,633 opioid episodes 76,968 (13%) were recurrent episodes: 94% were noncancer related (83% in recurrent episodes) and 6% cancer related (17% recurrent). Chronic opioid use was observed in 55% (noncancer) and 58% (cancer) recurrent episodes. Recommended laxatives were used in 50% noncancer and in 67% cancer episodes. Antiemetic drugs were used in 54% noncancer and in 83% cancer episodes. Not recommended coprescription of benzodiazepines was observed in 34% recurrent noncancer and 46% cancer episodes. LIMITATIONS: No clinical information was available to assess the indication for opioid use. CONCLUSIONS: In this study, opioids were primarily used outside the context of cancer-related treatment. In noncancer-related opioid use, we found a substantial higher proportion without recommended laxative and antiemetic medications. Coprescription of benzodiazepines may increase the risk for opioid overdose and was present in one-third of the noncancer episodes and in almost every second cancer episode. KEY WORDS: Pain medications, opioids, nonopioids, benzodiazepines, health insurance claims data, cancer pain, noncancer pain, chronic opioid use, adverse events prevention, guideline recommendations.

Changes over time in prescription practices of pain medications in Switzerland between 2006 and 2013: an analysis of insurance claims.

BACKGROUND: In Europe, scant information is available about prescription practices for pain medications. The aim of this research was to assess changes in prescription rates of non-opioid, weak opioid, and strong opioid medications between 2006 and 2013 in the Swiss population. METHODS: Using insurance claims data covering one-sixth of the Swiss population, we analyzed the numbers of reimbursed pain medications, the number of reimbursements per persons, and the cumulative dose in milligrams. For opioids, the morphine equivalent dose and treatment days were calculated. Data were extrapolated to the dose per day per 100'000 population stratified by age, gender, and canton. RESULTS: In total, 4'746'942 paracetamol, 2'156'620 NSAIDs or Coxibs, 931'129 metamizole, 1'322'272 weak opioid, and 807'835 strong opioid claims were analyzed. Between 2006 and 2013, the increase in claims per 100'000 persons was 32% for paracetamol, 242% for metamizole, 107% for NSAIDS, 86% for Coxibs, 13% for weak opioids, and 121% for strong opioids. For strong opioids the total MED in mg /100'000 increased by 117%, the treatment days /100'000 by 101%. For strong opioids, fentanyl was most frequently used (increase between 2006 and 2013 by 91% for MED/100'000 persons and 94% treatment days / 100'000) followed by buprenorphine and oxycodone. The highest proportional increase in MED / 100'000 was observed for methadone (+1414%) and oxycodone (+313%). Marked geographical variation was detected in the use of metamizole, paracetamole, and strong opioids in different cantons. CONCLUSION: The analysis of insurance claims data provides evidence that the prescription rates for pain medications increased in Switzerland within the last ten years, in particular for metamizole and strong opioids. Furthermore, the prescription rates for metamizole, paracetamol, and strong opioids varied substantially between different cantons in Switzerland.