Variation In Hospital Use Research Articles

Variation in hospital use of cardiac resynchronization therapy-defibrillator among eligible patients and association with clinical outcomes

Despite strong guideline recommendations for cardiac resynchronization therapy-defibrillator (CRT-D) in select patients, this therapy is underutilized with substantial variation among hospitals, and the association of this variation with outcomes is unknown. The purpose of this study was to assess whether facility variation in CRT-D utilization is associated with differences in hospital-level outcomes. We linked Medicare claims data with the National Cardiovascular Data Registry's ICD Registry from 2010 to 2015. We calculated the intraclass correlation coefficient to quantify the degree of variation in patient-level CRT use that can be explained by interfacility variation on a hospital level. To quantify the degree of hospital variation in patient-level outcomes (all-cause mortality, readmissions, and cardiac readmissions) that can be attributed to variations in CRT-D use, we utilized multilevel modeling. The study included 30,134 patients across 1377 hospitals. The median rate of CRT-D implantation in those meeting guideline indications was 89%, but there was a wide variation across hospitals. After adjustment, most of the variation (74%) in hospital rates of CRT-D utilization was attributable to the hospital in which the patient was treated. Differences in hospital CRT-D utilization was associated with 8.76%, 5.26%, and 4.71% of differences in hospital mortality, readmissions, and cardiac readmission rates, respectively (P < .001 for all outcomes). There is a wide variation in the use of CRT-D across hospitals that was not explained by case mix. Hospital-level variation in CRT-D utilization was associated with clinically significant differences in outcomes. A measure of CRT-D utilization in eligible patients may serve as a useful metric for quality improvement efforts.

Variation in hospital cost trajectories at the end of life by age, multimorbidity and cancer type.

Approximately thirty thousand people in Scotland are diagnosed with cancer annually, of whom a third live less than one year. The timing, nature and value of hospital-based healthcare for patients with advanced cancer are not well understood. The study's aim was to describe the timing and nature of hospital-based healthcare use and associated costs in the last year of life for patients with a cancer diagnosis. We undertook a Scottish population-wide administrative data linkage study of hospital-based healthcare use for individuals with a cancer diagnosis, who died aged 60 and over between 2012 and 2017. Hospital admissions and length of stay (LOS), as well as the number and nature of outpatient and day case appointments were analysed. Generalised linear models were used to adjust costs for age, gender, socioeconomic deprivation status, rural-urban (RU) status and comorbidity. The study included 85,732 decedents with a cancer diagnosis. For 64,553 (75.3%) of them, cancer was the primary cause of death. Mean age at death was 80.01 (SD 8.15) years. The mean number of inpatient stays in the last year of life was 5.88 (SD 5.68), with a mean LOS of 7 days. Admission rates rose sharply in the last month of life. One year adjusted and unadjusted costs decreased with increasing age. A higher comorbidity burden was associated with higher costs. Major cost differences were present between cancer types. People in Scotland in their last year of life with cancer are high users of secondary care. Hospitalisation accounts for a high proportion of costs, particularly in the last month of life. Further research is needed to examine triggers for hospitalisations and to identify influenceable reasons for unwarranted variation in hospital use among different cancer cohorts.

Variation in Intravenous Acetaminophen Use in Pediatric Hospitals: Priorities for Standardization.

The primary objective was to evaluate hospital variation in intravenous (IV) acetaminophen use across pediatric patient populations. The secondary objective was to identify populations with high use of IV acetaminophen and wide variation in practice to identify priority areas for cost reduction and practice standardization. We performed a retrospective study of children ≤18 years old hospitalized in 2019 in 48 US pediatric hospitals in the Pediatric Health Information System. Primary measures included IV acetaminophen use (percentage of encounters) and total days of therapy (DOT). A multivariable analysis identified clinical and demographic factors associated with IV acetaminophen use. High-priority groups for practice standardization were the All Patient Refined Diagnosis Related Groups in the top quartile of DOT, with wide variation of use across hospitals (interquartile range >50%). Among 866 346 encounters, 14.4% received 1 dose of IV acetaminophen with 287 935 DOT, costing $29.8 million. In multivariable analysis age, payer, surgical procedure, ICU admission, total parenteral nutrition, and case mix index remained significantly associated with IV acetaminophen use. After multivariable adjustment, variation in hospital use ranged from <0.1% to 31% of all encounters. Twenty diagnosis groups accounted for 47% of total DOT (135 910 days) and 48% of cost ($14.2 million). Appendectomy, tonsil and adenoidectomy, and craniotomy were identified as top candidates for standardization efforts. We observed large variation in IV acetaminophen use across pediatric hospitals and within diagnosis groups. These diagnoses represent candidates for practice standardization.

Variation in Hospital Use at the End of Life Among New South Wales Residents Who Died in Hospital or Soon After Discharge.

Objective: Hospital use increases in the last 3 months of life. We aimed to examine its association with where people live and its variation across a large health jurisdiction. Methods: We studied a number of emergency department presentations and days spent in hospital, and in-hospital deaths among decedents who were hospitalized within 30 days of death across 153 areas in New South Wales (NSW), Australia, during 2010-2015. Results: Decedents' demographics and health status were associated with hospital use. Primary care and aged care supply had no or minimal influence, as opposed to the varying effects of areal factors-socioeconomic status, remoteness, and distance to hospital last admitted. Overall, there was an approximate 20% difference in hospital use by decedents across areas. In all, 18% to 57% of areas had hospital use that differed from the average. Discussion: The observed disparity can inform targeted local efforts to strengthen the use of community care services and reduce the burden of end-of-life care on hospitals.

Hospital Use of Observation Stays: Cross-sectional Study of the Impact on Readmission Rates.

The Centers for Medicare and Medicaid Services publicly reports hospital risk-standardized readmission rates (RSRRs) as a measure of quality and performance; mischaracterizations may occur because observation stays are not captured by current measures. To describe variation in hospital use of observation stays, the relationship between hospitals observation stay use and RSRRs. Cross-sectional analysis of Medicare fee-for-service beneficiaries discharged after acute myocardial infarction (AMI), heart failure, or pneumonia between July 2011 and June 2012. We calculated 3 hospital-specific 30-day outcomes: (1) observation rate, the proportion of all discharges followed by an observation stay without a readmission; (2) observation proportion, the proportion of observation stays among all patients with an observation stay or readmission; and (3) RSRR. For all 3 conditions, hospitals' observation rates were <2.5% and observation proportions were <12%, although there was variation across hospitals, including 28% of hospital with no observation stay use for AMI, 31% for heart failure, and 43% for pneumonia. There were statistically significant, but minimal, correlations between hospital observation rates and RSRRs: AMI (r=-0.02), heart failure (r=-0.11), and pneumonia (r=-0.02) (P<0.001). There were modest inverse correlations between hospital observation proportion and RSRR: AMI (r=-0.34), heart failure (r=-0.26), and pneumonia (r=-0.21) (P<0.001). If observation stays were included in readmission measures, <4% of top performing hospitals would be recategorized as having average performance. Hospitals' observation stay use in the postdischarge period is low, but varies widely. Despite modest correlation between the observation proportion and RSRR, counting observation stays in readmission measures would minimally impact public reporting of performance.

Variation in Hospital Use and Outcomes Associated With Pulmonary Artery Catheterization in Heart Failure in the United States.

There has been an increase in the use of pulmonary artery (PA) catheters in heart failure (HF) in the United States in recent years. However, patterns of hospital use and trends in patient outcomes are not known. In the National Inpatient Sample 2001 to 2012, using International Classification of Diseases-Ninth Revision codes, we identified 11 888 525 adult (≥18 years) HF hospitalizations nationally, of which an estimated 75 209 (SE 0.6%) received a PA catheter. In 2001, the number of hospitals with ≥1 PA catheterization was 1753, decreasing to 1183 in 2011. The mean PA catheter use per hospital trended from 4.9 per year in 2001 (limits 1-133) to 3.8 per year in 2007 (limits 1-46), but increased to 5.5 per year in 2011 (limits 1-70). During 2001 to 2006, PA catheterization declined across hospitals; however, in 2007 to 2012, there was a disproportionate increase at hospitals with large bedsize, teaching programs, and advanced HF capabilities. The overall in-hospital mortality with PA catheter use was higher than without PA catheter use (13.1% versus 3.4%; P<0.0001); however, in propensity-matched analysis, differences in mortality between these groups have attenuated over time-risk-adjusted odds ratio for mortality for PA catheterization, 1.66 (95% confidence interval, 1.60-1.74) in 2001 to 2003 down to 1.04 (95% confidence interval, 0.97-1.12) in 2010 to 2012. There is substantial hospital-level variability in PA catheterization in HF along with increasing volume at fewer hospitals over-represented by large, academic hospitals with advanced HF capabilities. This is accompanied by a decline in excess mortality associated with PA catheterization.

Factors associated with variation in hospital use at the end of life in England

ObjectiveTo identify the relative importance of factors influencing hospital use at the end of life.DesignRetrospective cohort study of person and health system effects on hospital use in the past 12...

Variation in Hospital Use of Postacute Care After Surgery and the Association With Care Quality.

Little is known about hospital use of postacute care after surgery and whether it is related to measures of surgical quality. We used data merged between a national surgery registry, Medicare inpatient claims, the Area Resource File, and the American Hospital Association Annual Survey (2005-2008). Using bivariate and multivariate analyses, we calculated hospital-level, risk-adjusted rates of postacute care use for both inpatient facilities (IF) and home health care (HHC), and examined the association of these rates with hospital quality measures, including mortality, complications, readmissions, and length of stay. Of 112,620 patients treated at 217 hospitals, 18.6% were discharged to an IF, and 19.9% were discharged with HHC. Even after adjusting for differences in patient and hospital characteristics, hospitals varied widely in their use of both IF (mean, 20.3%; range, 2.7%-39.7%) and HHC (mean, 22.3%; range, 3.1%-57.8%). A hospital's risk-adjusted postoperative mortality rate or complication rate was not significantly associated with its use of postacute care, but higher 30-day readmission rates were associated with higher use of IF (24.1% vs. 21.2%, P=0.03). Hospitals with longer average length of stay used IF less frequently (19.4% vs. 24.4%, P<0.01). Hospitals vary widely in their use of postacute care. Although hospital use of postacute care was not associated with risk-adjusted complication or mortality rates, hospitals with high readmission rates and shorter lengths of stay used inpatient postacute care more frequently. To reduce variations in care, better criteria are needed to identify which patients benefit most from these services.

Factors associated with inpatient hospitalizations among patients aged 1 to 64 years with congenital heart defects, Arkansas 2006 to 2011.

Individuals with congenital heart defects (CHDs) have high hospital resource use. We sought to identify factors associated with hospital costs and multiple hospitalizations among individuals with CHDs. Data from the 2006 to 2011 Healthcare Cost and Utilization Project Arkansas State Inpatient Databases were linked across encrypted patient identifiers to develop a cohort of Arkansas residents aged 1 to 64 years who were hospitalized at least once with a CHD during this time period. Infants were excluded because patient identifiers were missing for 18 to 52% each year. CHDs were identified using principal and secondary International Classification of Diseases, Ninth Revision, Clinical Modification diagnoses codes. All hospitalizations of individuals ever admitted with a CHD were included. Mean and median patient-level costs were estimated; the association of hospital costs and patient readmissions were examined with linear and logistic regression. There were 1,185,868 inpatient hospitalizations of Arkansas residents aged 1 to 64 years between 2006 and 2011; these were accrued by 603,925 patients. Of those, 2542 patients (0.42%) had at least one hospitalization with a CHD diagnosis. Total costs for these 2542 patients were $126,999,837 and they accumulated 7898 hospitalizations. Factors associated with increased costs included patient age, CHD type, cardiac procedures, and comorbidities. Factors associated with hospital readmission within 1 year included age, CHD type, expected payer, and comorbidities. Individuals with CHDs in Arkansas experience variation in hospital use and costs by patient characteristics. Future research should investigate factors associated with readmissions, cardiac procedures, and comorbidities, as these are strongly associated with hospital costs. Birth Defects Research (Part A) 103:589-596, 2015. © 2015 Wiley Periodicals, Inc.

Variation in the use of observation status evaluation in Massachusetts acute care hospitals, 2003–2006

BackgroundObservation evaluation is an alternate pathway to inpatient admission following Emergency Department (ED) assessment.AimsWe aimed to describe the variation in observation use and charges between acute care hospitals in Massachusetts from 2003 to 2006.MethodsRetrospective pilot analysis of hospital administrative data. Patients discharged from a Massachusetts hospital between 2003 and 2006 after an observation visit or inpatient hospitalization for six emergency medical conditions, grouped by the Clinical Classification System (CCS), were included. Patients discharged with a primary obstetric condition were excluded. The primary outcome measure, “Observation Proportion” (pOBS), was the use of observation evaluation relative to inpatient evaluation (pOBS = n Observation/(n Observation + n Inpatient). We calculated pOBS, descriptive statistics of use and charges by the hospital for each condition.ResultsFrom 2003 to 2006 the number of observation visits in Massachusetts increased 3.9% [95% confidence interval (CI) 3.8% to 4.0%] from 128,825 to 133,859, while inpatient hospitalization increased 1.29% (95% CI 1.26% to 1.31%) from 832,415 to 843,617. Nonspecific chest pain (CCS 102) was the most frequently observed condition with 85,843 (16.3% of total) observation evaluations. Observation visits for nonspecific chest pain increased 43.5% from 2003 to 2006. Relative observation utilization (pOBS) for nonspecific chest pain ranged from 25% to 95% across hospitals. Wide variation in hospital use of observation and charges was seen for all six emergency medical conditions.ConclusionsThere was wide variation in use of observation across six common emergency conditions in Massachusetts in this pilot analysis. This variation may have a substantial impact on hospital resource utilization. Further investigation into the patient, provider and hospital-level characteristics that explain the variation in observation use could help improve hospital efficiency.

The Dartmouth Atlas Applied to Kaiser Permanente: Analysis of Variation in Care at the End of Life

The Dartmouth Atlas method for examination of variation in care at the end of life was replicated by Kaiser Permanente (KP). Variation within KP was analyzed and compared with corresponding Dartmouth Atlas Hospital Referral Regions. Although KP inpatient care use rates were 25% to 30% lower and hospice use rates were higher than in the surrounding communities, there was still two- to four-fold variation in inpatient care use across KP geographic areas. Evidence suggests that more, or more intensive, care for this population is neither necessarily better nor desired by patients. If all California (CA) KP residence areas had the hospital day rate of the average of the lowest three, 2005 decedents would have had more than 50,000 fewer hospital days in their last six months of life. High-intensity care accounts for a large proportion of the overall variation in total costs for this population. This strongly reinforces the focus on appropriate intensive care unit (ICU) use in end-of-life care. Greater emphasis on palliative care approaches for patients with chronic conditions and earlier transition to the use of hospice would create a better match between the expressed desires of patients and the care they receive, thus improving member and family satisfaction as well as quality of care. In addition, earlier transition to hospice in KP could be one important tool for avoiding undesired and nonbeneficial ICU use, given the negative correlation between hospice and ICU use identified in this analysis.Geographic variation in hospital use within KP appears to be correlated with variation in the surrounding communities, even though it is lower on average within KP than outside it. This suggests that KP resource use may be influenced at least in part by broader community practices.

Seasonal variation in acute hospital admissions and emergency room presentations among children in the Australian Capital Territory

To examine seasonal variation in hospital use for five paediatric conditions of the Australian Capital Territory residents. Hospital admissions (1993-2004) and emergency room (ER) presentations (1999-2004) for asthma, croup, bronchiolitis, other respiratory conditions and diarrhoea of children aged <5 years were compared by month and season. The five conditions comprised 14% of admissions and 24% of ER presentations of children aged <5 years. Bronchiolitis (both admissions and ER presentations) were the highest in the 0-1 year age group (>80%) and the other four conditions peaked at 1-2 years. Children aged 0-2 years contributed 66% of diarrhoea, 62% of croup and 44% of other respiratory admissions whereas ER presentations were higher for other respiratory conditions (57%) and lower for croup (47%). Boys showed higher rates of admissions and ER presentations for all conditions except diarrhoea. Strong seasonal associations were apparent. Incident rate ratios of admissions were significantly higher in autumn compared with summer for asthma and croup whereas bronchiolitis and other respiratory conditions admissions were the highest in winter. Diarrhoea admissions were the highest in spring. ER presentations of the five conditions also showed similar associations with season. Hospital admissions and ER presentations of these five conditions showed strong seasonal patterns, knowledge of which could contribute to improved resource planning (staffing) to meet expected increases in demand for services and scheduling of elective admissions. These findings could be extended to develop a model for forecasting hospital use and to explore the causes of these diseases to ameliorate seasonal effects.

Geographical variations in hospital use in Estonia

The purpose of this study was to analyse the utilisation of inpatient care in Estonia. Using small-area analysis the age and sex of municipality residents and travel time to the nearest hospital were linked to the frequency of use and length of stay of respective inpatients. Adjusted hospitalisation and readmission rates decreased with increasing travel time to the hospital. The travel time effect on the length of stay was inconsistent. Despite differences in hospital utilisation among municipalities, geographical access to inpatient care was substantially diminished only for 3% of the population living further than 30 min from hospital.

Within-year variation in hospital utilization and its implications for hospital costs

Variability in demand for hospital services may have important effects on hospital costs, but this has been difficult to examine because data on within-year variations in hospital use have not been available for large samples of hospitals. We measure daily occupancy in California hospitals and examine variation in hospital utilization at the daily level. We find substantial day-to-day variation in hospital utilization, and noticeable differences between hospitals in the amount of day-to-day variation in utilization. We examine the impact of variation on hospital costs, showing that increases in variance are associated with increases in hospital expenditures, but that the effects are qualitatively modest.

Geographical variation in acute psychiatric admissions within New York City 1990–2000: growing inequalities in service use?

The paper analyses geographical variations in use of acute psychiatric inpatient services within New York City and how these have changed from 1990 to 2000. We review literature suggesting reasons for the variations observed. Data from the New York State Department of Health Statewide Planning Research and Cooperative System were combined with population census data to produce age standardized ratio indicators of admissions and of bed days, as measures of use of general hospitals for psychiatric conditions, by males aged 15–64, in Zip Code Areas of New York City, in 1990 and 2000. Geographical variations in hospital use were related to proximity to general hospitals with psychiatric beds and to socio-economic status of local populations (as recorded in the 1990 and 2000 population censuses). Areas close to psychiatric hospitals areas show high admission levels. Controlling for this, Zip Code Areas with higher concentrations of poverty, of African American residents or of persons living alone were associated with relatively high admission ratios. These relationships vary somewhat between diagnostic groups. Area inequalities in standardized admission ratios persisted and widened between 1990 and 2000, and the highest hospital admission ratios were increasingly concentrated where social and economic disadvantage was greatest. Various possible reasons for this trend are explored. We conclude that increasing intensity of poverty in disadvantaged areas is not likely to provide an explanation and that the trends are more likely to result from changes in hospital management and funding affecting access to hospital services.

Monitoring the impact of hospital downsizing on access to care and quality of care.

The most recent data used for monitoring the potential effects of bed closures in Winnipeg hospitals since 1992/93 found that despite downsizing, access to care was by no means compromised. Just as many patients were cared for in 1995/96 as in 1991/92. Changes in patterns of care included more outpatient and fewer inpatient surgeries, and a decrease in the number of hospital days. The number of high-profile surgical procedures, such as angioplasty, bypass, and cataract surgery, performed increased dramatically during downsizing. Quality of care delivered to patients, measured by mortality and readmission rates, was unaffected by bed closures. Of particular concern was the impact of downsizing on the two most vulnerable health groups--the elderly and Manitobans in the lowest income group. Access and quality of care for these groups also remained unchanged. However, those in the lowest income group spent almost 43% more days in hospital than those in the middle income group, and research demonstrates that these variations in hospital use across socioeconomic groups reflect real and important health differences and are not driven by social reasons for admissions. Finally, a large decrease in waiting time for nursing home placement underlines the relationship between downsizing and availability of alternatives to hospitalization.

Do market-level hospital and physician resources affect small area variation in hospital use?

This study evaluates the effect of market-level physician and hospital resources on hospital use. It is anticipated that higher hospital discharges are associated with (1) greater hospital and physician resources, (2) more differentiated hospital and physician resources, and (3) higher levels of teaching intensity in the community. Data on 14 modified diagnostically related groups (DRGs) and 58 hospital market communities in Michigan are analyzed during a 7-year period. Findings indicate that physician resources, hospital resources, differentiation of hospital and physician resources, and teaching intensity contribute only modestly to discharges, holding constant the socioeconomic attributes of the community and adjusting for the variation in hospital use over time. With the inclusion of hospital and physician resource variables, socioeconomic factors remain important determinants of the variation across market communities. Findings are discussed in terms of their implications for health care organizations, managed care programs, and cost control efforts in general.

Geographic variations in utilization rates in Veterans Affairs hospitals and clinics.

In the United States, geographic variation in hospital use is common. It is uncertain whether there are similar geographic variations in the health care system of the Department of Veterans Affairs (VA), which differs from the private sector because it predominantly serves men with annual incomes below $20,000, has a central system of administration, and uses salaried physicians. Thus, it might be less likely to have geographic variations. We used VA data bases to obtain information on patients treated for eight diseases (chronic obstructive pulmonary disease, pneumonia, congestive heart failure, angina, diabetes, chronic renal failure, bipolar disorder, and major depression). We analyzed their use of hospital and outpatient services by assessing the risk-adjusted numbers of hospital days (the average number of days a patient spent in the hospital per 12 months of follow-up, regardless of the number of hospital stays), hospital-discharge rates, and clinic-visit rates from 1991 through 1995 for the entire system and within the 22 geographically based health care networks. We found substantial geographic variation in hospital use for all eight cohorts of patients and all the years studied. Variations in the numbers of hospital days per person-year among the networks were greatest among patients with chronic obstructive pulmonary disease (ranging from a factor of 2.7 to a factor of 3.1) during a given year and smallest among patients with angina (ranging from a factor of 1.5 to a factor of 2.1). Levels of hospital use were highest in the Northeast and lowest in the West. The variation in the rates of clinic visits for principal medical care among the networks ranged from a factor of approximately 1.6 to a factor of 4.0; variations in the rates were greatest among patients with chronic renal failure and smallest among patients with chronic obstructive pulmonary disease. There was no clear geographic pattern in the rates of outpatient-clinic use. There are significant geographic variations in the use of hospital and outpatient services in the VA health care system. Because VA physicians are unable to increase their income by changing their patterns of practice, our findings suggest that their practice styles are similar to those of other physicians in their geographic regions.

Influence of Morbidity and Health Care Structure on Hospitalization Among Adult Diabetic Patients

The aim of the study was to investigate the influence of outpatient care, overall hospital bed provision and the prevalence of diabetes on the hospital use by adult diabetic patients. Population based data were collected in Finland from a 3-year period. Hospital admissions, inpatient days, and mean length of stay due to diabetes were derived from the Hospital Discharge Register. Estimates of diabetes prevalence were derived from the Central Drug Register. Primary outpatient site, annual number of physician visits, and age at onset among diabetic patients were assessed by questionnaire. The unit of analysis was hospital district (n = 21) and all analyses refer to the 15–64 years age group. Linear regression models were used to explain discharge rates and inpatient days in the district. Large variations between hospital districts were observed in diabetes prevalence, discharge rates due to diabetes, and mean length of stay among diabetic patients. Prevalence of diabetes and overall supply of hospital beds in the district were not related to hospital use. Univariate analyses showed that the larger the proportion of diabetic patients primarily using a private practitioner, the lower the hospital use. In districts where early onset of diabetes was more common, the average number of inpatient days was significantly lower than in other districts. In stepwise regression analyses, early onset of diabetes was the only variable that entered the models. In the full model, 24.6 % of the variance in inpatient days and 16.1 % of the variance in discharge rates were explained. In conclusion, factors related to health care structure, provision of hospital beds or morbidity explain little of the regional variation in hospital use. The observed variations in hospital use probably depend mainly on local treatment policies and differences in clinical decision-making.

Influence of morbidity and health care structure on hospitalization among adult diabetic patients.

The aim of the study was to investigate the influence of outpatient care, overall hospital bed provision and the prevalence of diabetes on the hospital use by adult diabetic patients. Population based data were collected in Finland from a 3-year period. Hospital admissions, inpatient days, and mean length of stay due to diabetes were derived from the Hospital Discharge Register. Estimates of diabetes prevalence were derived from the Central Drug Register. Primary outpatient site, annual number of physician visits, and age at onset among diabetic patients were assessed by questionnaire. The unit of analysis was hospital district (n = 21) and all analyses refer to the 15-64 years age group. Linear regression models were used to explain discharge rates and inpatient days in the district. Large variations between hospital districts were observed in diabetes prevalence, discharge rates due to diabetes, and mean length of stay among diabetic patients. Prevalence of diabetes and overall supply of hospital beds in the district were not related to hospital use. Univariate analyses showed that the larger the proportion of diabetic patients primarily using a private practitioner, the lower the hospital use. In districts where early onset of diabetes was more common, the average number of inpatient days was significantly lower than in other districts. In stepwise regression analyses, early onset of diabetes was the only variable that entered the models. In the full model, 24.6% of the variance in inpatient days and 16.1% of the variance in discharge rates were explained. In conclusion, factors related to health care structure, provision of hospital beds or morbidity explain little of the regional variation in hospital use. The observed variations in hospital use probably depend mainly on local treatment policies and differences in clinical decision-making.