Costs of polish county hospitals-A behavioral panel function.

In the paper the costs of Polish county hospitals in 2015-2018 are studied using behavioral cost function. The set of variables combines hospitals' characteristics which may determine their level of costs, such as the form of ownership, bed turnover rate, number of patient-days and share of beds in emergency department with environment characteristics which may influence both outsourcing costs and patients' health. In 2017 the system of basic hospital service provision (hospital network) was introduced in Poland. Dummy variables included in the model represent the category of hospital in the system. The results show that the costs may be described using fixed effect panel model. Positive impact of percentage of emergency department patients transferred to other departments and of wages is found. Higher ratio of residents and interns to doctors is found to decrease costs. Dummy variable for the period after the introduction of hospital network assumed a negative sign with costs, but the parameter remained insignificant.

Determinants of hospital inefficiency. The case of Polish county hospitals.

Local hospitals play a crucial role in the healthcare system. In this study, the efficiency of Polish county hospitals is assessed by considering characteristics of hospitals that may determine their performance, such as the form of ownership, size, and staff structure. The main goal was to analyze the effect of three possible determinants on efficiency: ownership, the presence of an Emergency Department, and the presence of an Intensive Care Unit. The study covered different subgroups of hospitals and different approaches of inputs and outputs. An input-oriented radial super-efficiency DEA model under variable returns to scale was used for the efficiency analysis, and then differences between distributions of efficient and inefficient units were evaluated using a Chi-square test. A Kruskal-Wallis test was also used to analyze differences in mean efficiency. Inefficiency scores were regressed with hospital characteristics to test for other determinants. These results did not confirm differences in efficiency concerning ownership. However, in some subgroups of hospitals, running an Emergency Department or an Intensive Care Unit had a significant effect. Tobit regression results provided additional insight into how an Emergency Department or Intensive Care Unit can affect efficiency. Both cases had an effect of increasing inefficiency, and the data suggested that the department/unit size plays an important role.

Different impacts of the zero-markup drug policy on county general and traditional Chinese medicine hospitals: evidence from Shandong province, China.

BACKGROUND: As a key part of the new round of health reform, the zero-markup drug policy (ZMDP) removed the profit margins of drug sales at public health care facilities, and had some effects to the operation of these institutions. This study aims to assess whether the ZMDP has different impacts between county general and traditional Chinese medicine (TCM) hospitals. METHODS: We obtained longitudinal data from all county general and TCM hospitals of Shandong province in 2007-2017. We used difference-in-difference (DID) method to identify the overall and dynamic effects of the ZMDP. RESULTS: On average, after the implementation of the ZMDP, the share of revenue from medicine sales reduced by 16.47 and 10.42%, the revenue from medicine sales reduced by 24.04 and 11.58%, in county general and TCM hospitals, respectively. The gross revenue reduced by 5.07% in county general hospitals. The number of annual outpatient visits reduced by 11.22% in county TCM hospitals. Government subsidies increased by 199.22 and 89.3% in county general and TCM hospitals, respectively. The ZMDP reform was not significantly associated with the revenue and expenditure surplus, the number of annual outpatient visits and the number of annual inpatient visits in county general hospitals, the gross revenue, the revenue and expenditure surplus and the number of annual inpatient visits in county TCM hospitals. In terms of dynamic effects, the share of revenue from medicine sales, revenue from medicine sales, and gross revenue decreased by 20.20, 32.58 and 6.08% respectively, and up to 28.53, 63.89 and 17.94% after adoption, while government subsidies increased by around 170 to 200% in county general hospitals. The number of annual outpatient visits decreased by 9.70% and up to 18.84% in county TCM hospitals. CONCLUSION: The ZMDP achieved its some initial goals of removing the profits from western medicines in county hospitals' revenue without disrupting the normal operation, and had different impacts between county general and TCM hospitals. Meanwhile, some unintended consequences were also recognized through the analysis, such as the decline of the utilization of the TCM.

"The biggest reform to China's health system": did the zero-markup drug policy achieve its goal at traditional Chinese medicines county hospitals?

The zero-markup drug policy (ZMDP) was heralded as the biggest reform to China's modern health system. However, there have been a very limited number of investigations of the ZMDP at county hospital level, and those limited county hospital studies have several limitations in terms of sample representativeness and study design. We investigated the overall and dynamic effects of ZMDP at traditional Chinese medicine (TCM) county hospitals. We obtained longitudinal data from all TCM county hospitals in 2004-16 and the implementation year of ZMDP for each hospital. We used differences-in-difference methods to identify the overall and dynamic effects of ZMDP. On average, the ZMDP reform was associated with the reduction in the share of revenue from drug sales (3.1%), revenue from western medicines sales (12.7%), revenue from medical care services (3.6%) and gross hospital revenue (3.4%), as well as increased government subsidies (24.4%). The ZMDP reform was not significantly associated with the number of annual outpatient and inpatient visits. In terms of dynamic effects, the share of revenue from drug sales decreased by 2.5% in the implementation year and by about 5% in the subsequent years. Revenue from western medicine sales fell substantially in the short term and continued to drop in the long term. Government subsidies went up strikingly in the short term and long term, and revenue from medical care services and gross revenue decreased only in the implementation year. The ZMDP achieved its stated goal through reducing the share of revenue from drug sales without disrupting the availability of healthcare services at TCM county hospitals. The success of ZMDP was mainly due to the huge growth in the government's financial investment in TCM hospitals.

Barriers to adoption of laparoscopic cholecystectomy in a county hospital in Guatemala.

BACKGROUND: Despite international efforts to increase performance of laparoscopic cholecystectomy (LC) in rural Guatemala, the vast majority of cholecystectomies are still performed via the open cholecystectomy (OC) approach. Our goal was to explore barriers to the adoption of LC in Guatemala as well as possible mechanisms to overcome them. METHODS: We reviewed 9402 cholecystectomies performed over 14 years by surgeons at the Hospital Nacional de San Benito (HNSB) in El Peten, Guatemala, with either an open or a laparoscopic approach. We conducted personal interviews with all the surgeons who perform cholecystectomies at HNSB to determine current practice and barriers to adopting LC. RESULTS: Overall, seven general surgeons were interviewed who regularly perform cholecystectomy. Of the total number of cholecystectomies reviewed, 8440 (90%) were open and 962 (10%) were laparoscopic. The mean number of cholecystectomies performed per surgeon was 1341.1 ± 1244.9, with OC at 1205.7 ± 1194.9, and LC at 137.4 ± 188.0. Lack of formal training in laparoscopy was identified in 57% of surgeons. Lack of government funds to implement a laparoscopic program was noted by 71% of surgeons (29% felt there was insufficient ancillary staff, 29% poor allocation of hospital funding to purchase laparoscopic equipment/training). Lack of sufficient laparoscopic equipment was identified by 71% of surgeons. CONCLUSIONS: Ninety percent of cholecystectomies performed by surgeons at HNSB continue to be OC. The major limitation is the lack of funding to provide sufficient equipment or ancillary staff. The majority of surgeons preferred to perform LC if these problems could be addressed.

Disseminating universal genetic testing to a diverse, indigent patient population at a county hospital gynecologic oncology clinic.

OBJECTIVE: The universal genetic testing initiative (UGTI) is a quality improvement effort to increase rates of guideline-based genetic counseling (GC) and genetic testing (GT) of patients with potentially hereditary cancers. The UGTI was disseminated to a county hospital gynecologic oncology clinic that serves a diverse, indigent patient population. METHODS: Using the Model for Improvement quality improvement framework, interventions including integrated GC, clinic tracking, assisted GC referrals, and provider education were tested over 26 months. A retrospective data review included patients with high-grade, non-mucinous epithelial ovarian, fallopian tube, and primary peritoneal cancers (HGOC) and endometrial cancers (EC) diagnosed between 9/1/12-8/31/16. Statistical analyses were performed to describe the population and to evaluate rates of recommendation and use of immunohistochemistry tumor testing (IHC), GC, and GT. RESULTS: A cohort of 241 patients (57 HGOC, 184 EC) were included. At the conclusion of the study 84.2% of HGOC patients were referred for GC, 89.6% (43/48) completed GC, and 90.7% (39/43) completed GT. Of EC patients, 81.0% were recommended to have IHC and 62.4% (93/149) completed IHC. Patients with HGOC diagnosed during dissemination of UGTI were significantly more likely to receive a recommendation for GC (p = 0.02) and to complete GT (p = 0.03) than those diagnosed before UGTI. Patients with EC were significantly more likely to complete IHC if diagnosed after UGTI than those diagnosed prior to dissemination (p < 0.001). CONCLUSIONS: The UGTI can be adapted to increase use of guideline-based cancer genetics services in a diverse, indigent, gynecologic cancer patient population.

Can single disease payment system based on clinical pathway reduce hospitalization costs in rural area? A case study of uterine leiomyoma in Anhui, China.

BACKGROUND: Single disease payment program based on clinical pathway (CP-based SDP) plays an increasingly important role in reducing health expenditure in china and there is a clear need to explore the scheme from different perspectives. This study aimed at evaluating the effect of the scheme in rural county public hospitals within Anhui, a typical province of China,using uterine leiomyoma as an example. METHODS: The study data were extracted from the data platform of the New Rural Cooperative Medical Office of Anhui Province using stratified-random sampling. Means, constituent ratios and coefficients of variations were calculated and/or compared between control versus experiment groups and between different years. RESULTS: The total hospitalization expenditure (per-time) dropped from 919.08 ± 274.92 USD to 834.91 ± 225.29 USD and length of hospital stay reduced from 9.96 ± 2.39 days to 8.83 ± 1.95 days(P < 0.01), after CP-based SDP had implemented. The yearly total hospitalization expenditure manifested an atypical U-shaped trend. Medicine expense, nursing expense, assay cost and treatment cost reduced; while the fee of operation and examination increased (P < 0.05). The expense constituent ratios of medicine, assay and treatment decreased with the medicine expense dropped the most (by 4.4%). The expense constituent ratios of materials, ward, operation, examination and anesthetic increased,with the examination fee elevated the most (by 3.9%).The coefficient of variation(CVs) of treatment cost declined the most (- 0.360); while the CV of materials expense increased the most (0.186). CONCLUSION: There existed huge discrepancies in inpatient care for uterine leiomyoma patients. Implementation of CP-based SDP can help not only in controlling hospitalization costs of uterine leiomyoma in county-level hospitals but also in standardizing the diagnosis and treatment procedures.

County and Physician Variation in Benzodiazepine Prescribing to Medicare Beneficiaries by Primary Care Physicians in the USA.

BACKGROUND: Physicians widely prescribe benzodiazepines (BZD) despite well-recognized harms. OBJECTIVE: To determine county and provider characteristics that predict high-intensity BZD prescribing by primary care physicians (PCPs) to Medicare beneficiaries. DESIGN: Cross-sectional analysis of the 2015 Medicare Part D Public Use Files (PUF). SUBJECTS: n = 122,054 PCPs who prescribed 37.3 billion medication days. MAIN MEASURES: Primary outcome was intensity of BZD prescribing (days prescribed/total medication days) at the county- and physician levels. PCP and county characteristics were derived from the Part D PUF, Area Health Resources Files, and County Health Rankings. Logistic regression determined the characteristics associated with high-intensity (top quartile) BZD prescribing. KEY RESULTS: Beneficiaries were prescribed over 1.2 billion days of BZD in 2015, accounting for 2.3% of all medication days prescribed in Part D. Top quartile counties had 3.1 times higher BZD prescribing than the lowest (3.4% vs. 1.1%; F = 3293.8, df = 3, p < 0.001). Adjusting for county-level demographics and health care system characteristics (including supply of mental health providers), counties with more adults with at least some college had lower odds of high-intensity prescribing (per 5% increase, adjusted odds ratio [AOR] 0.80, 99% confidence interval (CI) 0.73-0.87, p < 0.001), as did higher income counties (per US$1000 increase, AOR 0.93, CI 0.91-0.95, p < 0.001). Top quartile PCPs prescribed at 6.5 times the rate of the bottom (3.9% vs. 0.6%; F = 63,910.2, df = 3, p < 0.001). High-intensity opioid prescribing (AOR 4.18, CI 3.90-4.48, p < 0.001) was the characteristic most strongly associated with BZD prescribing. CONCLUSIONS: BZD prescribing appears to vary across counties and providers and is related to non-patient characteristics. Further work is needed to understand how such non-clinical factors drive variation.

Study on essential drug use status and its influencing factors among cerebral infarction inpatients in county level hospitals of Anhui Province, China.

BACKGROUND AND PURPOSE: Drug costs is one of the main components of hospitalization expenditure for cerebral infarction inpatients. In China, the National Essential Medicine System (NEMS) was created to relieve the heavy drug-cost burden for patients. The objective of this study was to investigate essential drug-use status and its influencing factors among cerebral infarction inpatients in county-level hospitals of Anhui province, China. METHODS: Three county-level hospitals were selected through a multi-stage cluster random sampling method. The hospitalization cost data of cerebral infarction inpatients in the three hospitals were extracted from the Anhui provincial information platform of the New Rural Cooperative Insurance System (NCMS), and whether the proportion of essential drug cost in the total drug cost reached the median value of 33.05% which was set as the evaluation index for essential drug-use status. Questionnaires for hospitals and physicians were designed and given to them to assess influencing factors. RESULTS: We retrieved the cost data of 2,189 inpatients from the NCMS platform and investigated 51 corresponding physicians in total. The drug costs accounted for 52.6% of the total hospitalization cost, and essential drug costs alone accounted for 37.0% of the total drug costs. The essential drug-cost proportion was high among physicians with a higher recognition degree on NEMS, older age, lower final academic degree, longer work experience and lower professional title. Married physicians and those with tight organizational affiliation also prescribed more essential drugs. CONCLUSIONS: Increasing the proportion of essential drugs was an effective way to reduce the disease burden for cerebral infarction patients. Perfecting the NEMS, increasing government investment, reinforcing education and propaganda, and formulating relevant incentive and restrictive mechanisms were all effective ways to promote and increase the number of essential drug prescriptions written by physicians.

Effects of County Public Hospital Reform on Procurement Costs and Volume of Antibiotics: A Quasi-Natural Experiment in Hubei Province, China.

BACKGROUND: The overuse of antibiotics has become a major public health challenge worldwide, especially in low- and middle-income countries, including China. In 2009, the Chinese government launched a series of measures to de-incentivise over-prescription in public health facilities, including decoupling the link between facility income and the sale of medicines. OBJECTIVES: We evaluated the effects of these measures on procurement costs and the volume of antibiotics in county public hospitals. METHODS: The study was undertaken in the Hubei province of China, where 64 county public hospitals implemented the reform in sequence at three different stages. A quasi-natural experiment design was employed. We performed generalised linear regressions with a difference-in-differences approach using 22,713 procurement records of antibiotics from November 2014 to December 2016. RESULTS: The regression results showed that the reform contributed to a 14.79% increase in total costs for antibiotics (p = 0.013), particularly costs for injectable antibiotics (p = 0.022) and first-line antibiotics (p = 0.030). The procurement prices for antibiotics remained largely comparable to those in the control group, but the reform led to a 17.30% increase in the procurement volume (expressed as defined daily doses) of second-line antibiotics (p = 0.032). CONCLUSIONS: County public hospitals procured more antibiotics and greater numbers of expensive antibiotics, such as those administered via injection, to compensate for the loss of income from the sale of medicines, leading to an increased total cost of antibiotics.

Balanced scorecard-based performance evaluation of Chinese county hospitals in underdeveloped areas.

Objective Since the Guangxi government implemented public county hospital reform in 2009, there have been no studies of county hospitals in this underdeveloped area of China. This study aimed to establish an evaluation indicator system for Guangxi county hospitals and to generate recommendations for hospital development and policymaking. Methods A performance evaluation indicator system was developed based on balanced scorecard theory. Opinions were elicited from 25 experts from administrative units, universities and hospitals and the Delphi method was used to modify the performance indicators. The indicator system and the Topsis method were used to evaluate the performance of five county hospitals randomly selected from the same batch of 2015 Guangxi reform pilots. Results There were 4 first-level indicators, 9 second-level indicators and 36 third-level indicators in the final performance evaluation indicator system that showed good consistency, validity and reliability. The performance rank of the hospitals was B > E > A > C > D. Conclusions The performance evaluation indicator system established using the balanced scorecard is practical and scientific. Analysis of the results based on this indicator system identified several factors affecting hospital performance, such as resource utilisation efficiency, medical service price, personnel structure and doctor-patient relationships.

[Adjusted Clinical Groups Method (ACG) to allocate resources according to the disease burden of each health center]. / Clasificación según nivel de morbilidad e intensidad del uso de recursos de una población con patologías crónicas en Atención Primaria de Salud utilizando “Adjusted Clinical Groups” (ACG).

BACKGROUND: Health care must be provided with strong primary health care models, emphasizing prevention and a continued, integrated and interdisciplinary care. Tools should be used to allow a better planning and more efficient use of resources. AIM: To assess risk adjustment methodologies, such as the Adjusted Clinical Groups (ACG) developed by The Johns Hopkins University, to allow the identification of chronic condition patterns and allocate resources accordingly. MATERIAL AND METHODS: We report the results obtained applying the ACG methodology in primary care systems of 22 counties for three chronic diseases, namely Diabetes Mellitus, Hypertension and Heart Failure. RESULTS: The outcomes show a great variability in the prevalence of these conditions in the different health centers. There is also a great diversity in the use of resources for a given condition in the different health care centers. CONCLUSIONS: This methodology should contribute to a better distribution of health care resources, which should be based on the disease burden of each health care center.

Clasificación según nivel de morbilidad e intensidad del uso de recursos de una población con patologías crónicas en Atención Primaria de Salud utilizando “Adjusted Clinical Groups” (ACG) / Adjusted Clinical Groups Method (ACG) to allocate resources according to the disease burden of each health center

Background: Health care must be provided with strong primary health care models, emphasizing prevention and a continued, integrated and interdisciplinary care. Tools should be used to allow a better planning and more efficient use of resources. Aim: To assess risk adjustment methodologies, such as the Adjusted Clinical Groups (ACG) developed by The Johns Hopkins University, to allow the identification of chronic condition patterns and allocate resources accordingly. Material and Methods: We report the results obtained applying the ACG methodology in primary care systems of 22 counties for three chronic diseases, namely Diabetes Mellitus, Hypertension and Heart Failure. Results: The outcomes show a great variability in the prevalence of these conditions in the different health centers. There is also a great diversity in the use of resources for a given condition in the different health care centers. Conclusions: This methodology should contribute to a better distribution of health care resources, which should be based on the disease burden of each health care center.

The financial impact of the 'zero-markup policy for essential drugs' on patients in county hospitals in western rural China.

OBJECTIVE: With a quasi-experimental design, this study aims to assess whether the Zero-markup Policy for Essential Drugs (ZPED) reduces the medical expense for patients at county hospitals, the major healthcare provider in rural China. METHODS: Data from Ningshan county hospital and Zhenping county hospital, China, include 2014 outpatient records and 9239 inpatient records. Quantitative methods are employed to evaluate ZPED. Both hospital-data difference-in-differences and individual-data regressions are applied to analyze the data from inpatient and outpatient departments. RESULTS: In absolute terms, the total expense per visit reduced by 19.02 CNY (3.12 USD) for outpatient services and 399.6 CNY (65.60 USD) for inpatient services. In relative terms, the expense per visit was reduced by 11% for both outpatient and inpatient services. Due to the reduction of inpatient expense, the estimated reduction of outpatient visits is 2% among the general population and 3.39% among users of outpatient services. The drug expense per visit dropped by 27.20 CNY (4.47 USD) for outpatient services and 278.7 CNY (45.75 USD) for inpatient services. The proportion of drug expense out of total expense per visit dropped by 11.73 percentage points in outpatient visits and by 3.92 percentage points in inpatient visits. CONCLUSION: Implementation of ZPED is a benefit for patients in both absolute and relative terms. The absolute monetary reduction of the per-visit inpatient expense is 20 times of that in outpatient care. According to cross-price elasticity, the substitution between inpatient and outpatient due to the change in inpatient price is small. Furthermore, given that the relative reductions are the same for outpatient and inpatient visits, according to relative thinking theory, the incentive to utilize outpatient or inpatient care attributed to ZPED is equivalent, regardless of the 20-times price difference in absolute terms.

Economic management of vertigo/dizziness disease in a county hospital: video-head-impulse test vs. caloric irrigation.

The video-head-impulse test (vHIT) is an important test for examining unilateral vestibular hypofunction. Alternatively, one can test for vestibular hypofunction with the caloric irrigation test. Various studies have shown that both tests may not always identify vestibular hypofunction; instead, the results of the tests might be contradictory. This retrospective study reproduces those finding in a much larger group of patients at a county hospital. 1063 patients were examined with the vHIT and bithermal caloric irrigation on the same day and analyzed with respect to side differences. Of those patients 13.3% had pathological vHIT and a caloric irrigation test, 4.6% a pathological vHIT only and 24.1% a pathologic caloric test only. As both tests might be necessary, we calculated the optimal sequence of the two examinations based on savings in time for the different disease groups. Especially in vestibular failure using the vHIT first and only applying the caloric irrigation in case of an unremarkable vHIT saves time and optimizes the diagnostic work up. In contrast, in Menière's disease and vestibular migraine testing caloric irrigation first might be more efficient.

Disproportionate-share hospital payment reductions may threaten the financial stability of safety-net hospitals.

Safety-net hospitals rely on disproportionate-share hospital (DSH) payments to help cover uncompensated care costs and underpayments by Medicaid (known as Medicaid shortfalls). The Affordable Care Act (ACA) anticipates that insurance expansion will increase safety-net hospitals' revenues and will reduce DSH payments accordingly. We examined the impact of the ACA's Medicaid DSH reductions on California public hospitals' financial stability by estimating how total DSH costs (uncompensated care costs and Medicaid shortfalls) will change as a result of insurance expansion and the offsetting DSH reductions. Decreases in uncompensated care costs resulting from the ACA insurance expansion may not match the act's DSH reductions because of the high number of people who will remain uninsured, low Medicaid reimbursement rates, and medical cost inflation. Taking these three factors into account, we estimate that California public hospitals' total DSH costs will increase from $2.044 billion in 2010 to $2.363-$2.503 billion in 2019, with unmet DSH costs of $1.381-$1.537 billion.

A preliminary analysis of the effect of the new rural cooperative medical scheme on inpatient care at a county hospital.

BACKGROUND: China in 2009 committed to reach universal health coverage by promoting three forms of health insurance; NCMS for the rural population, UEBMI for formally employed urban residents and URBMI for other urban residents. NCMS has expanded to near universal coverage in rural China since launching in 2003. The objective of this study aimed to assess the effect of NCMS on inpatient care utilization from 2003 to 2012 at Longyou county hospital, Zhejiang province. METHODS: The research was conducted at Longyou county, Zhejiang province. All registered inpatient admissions from January 1, 2003, to June 30, 2012, were included in the study. The PLSQL Developer software was used to select the interesting variables in the hospital information database and saved in an Excel 2003 file. The interesting variables included the patients' general information (name, gender, age, payment method), discharge diagnosis, length of hospital stay, and expenditure (total expenditure and out-of-pocket payment). Two common diseases (coronary arteriosclerotic disease and pneumonia) were selected as tracer conditions. RESULTS: 292,400 rural residents were enrolled in the Longyou county NCMS by 2011, 95.4% of the eligible population. A total of 145,744 inpatient admissions were registered from 1 January 2003 to 30 June 2012. The proportion of inpatients covered by NCMS increased from 30.3% in 2004 to 54.2% in 2012 while the proportion of inpatients covered by UEBMI increased from 7.7% in 2003 to 14.7% in 2012. The average expenditure for UEBMI insured inpatients was higher than the average for NCMS insured inpatients, although the gap was narrowing. The average length of hospital stay increased every year for all inpatients, but was higher for UEBMI inpatients than for NCMS insured inpatients. For both tracer conditions the results were similar to the above findings. CONCLUSIONS: NCMS has improved coverage height for its enrollees and resulted in increased cost of care per inpatient admission at the county hospital. However, wide differences persist between the two insurance systems in coverage height. Both systems are associated with increasing lengths of stay and rising cost per inpatient admission. We found that around 30% of inpatients were not covered by any of the two public health insurance systems, which calls for further studies.

Tracking stroke hospitalization clusters over time and associations with county-level socioeconomic and healthcare characteristics.

BACKGROUND AND PURPOSE: This study evaluated clustering of stroke hospitalization rates, patterns of the clustering over time, and associations with community-level characteristics. METHODS: We used Medicare hospital claims data from 1995-1996 to 2005-2006 with a principal discharge diagnosis of stroke to calculate county-level stroke hospitalization rates. We identified statistically significant clusters of high- and low-rate counties by using local indicators of spatial association, tracked cluster status over time, and assessed associations between cluster status and county-level socioeconomic and healthcare profiles. RESULTS: Clearly defined clusters of counties with high- and low-stroke hospitalization rates were identified in each time. Approximately 75% of counties maintained their cluster status from 1995-1996 to 2005-2006. In addition, 243 counties transitioned into high-rate clusters, and 148 transitioned out of high-rate clusters. Persistently high-rate clusters were located primarily in the Southeast, whereas persistently low-rate clusters occurred mostly in New England and in the West. In general, persistently low-rate counties had the most favorable socioeconomic and healthcare profiles, followed by counties that transitioned out of or into high-rate clusters. Persistently high-rate counties experienced the least favorable socioeconomic and healthcare profiles. CONCLUSIONS: The persistence of clusters of high- and low-stroke hospitalization rates during a 10-year period suggests that the underlying causes of stroke in these areas have also persisted. The associations found between cluster status (persistently high, transitional, persistently low) and socioeconomic and healthcare profiles shed new light on the contributions of community-level characteristics to geographic disparities in stroke hospitalizations.