Variations and determinants of hospital costs for acute stroke in China.
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ABSTRACT: Background
The burden of stroke is high and increasing in China. We modelled variations in, and predictors of, the costs of hospital care for patients with acute stroke in China.Methods and findings
Baseline characteristics and hospital costs for 5,255 patients were collected using the prospective register-based ChinaQUEST study, conducted in 48 Level 3 and 14 Level 2 hospitals in China during 2006-2007. Ordinary least squares estimation was used to determine factors associated with hospital costs. Overall mean cost of hospitalisation was 11,216 Chinese Yuan Renminbi (CNY) (≈US$1,602) per patient, which equates to more than half the average annual wage in China. Variations in cost were largely attributable to stroke severity and length of hospital stay (LOS). Model forecasts showed that reducing LOS from the mean of 20 days for Level 3 and 18 days for Level 2 hospitals to a duration of 1 week, which is common among Western countries, afforded cost reductions of 49% and 19%, respectively. Other lesser determinants varied by hospital level: in Level 3 hospitals, health insurance and the occurrence of in-hospital complications were each associated with 10% and 18% increases in cost, respectively, whilst treatment in a teaching hospital was associated with approximately 39% decrease in cost on average. For Level 2 hospitals, stroke due to intracerebral haemorrhage was associated with a 19% greater cost than for ischaemic stroke.Conclusions
Changes to hospital policies to standardise resource use and reduce the variation in LOS could attenuate costs and improve efficiencies for acute stroke management in China. The success of these strategies will be enhanced by broader policy initiatives currently underway to reform hospital reimbursement systems.
SUBMITTER: Wei JW
PROVIDER: S-EPMC2946911 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Background and Purpose: Studies on the regional differences in hospital costs of acute ischemic stroke (AIS) are scarce in China. We aimed to explore the regional differences in hospital costs and identify the determinants of hospital costs in each region. Methods: Data were collected from the Chinese Acute Ischemic Stroke Treatment Outcome Registry (CASTOR), a multicenter prospective study on patients diagnosed with AIS and hospitalized from 2015 to 2017. Univariate and multivariate analyses were undertaken to identify the determinants of hospital costs of AIS. Results: A total of 8,547 patients were included in the study, of whom 3,700 were from the eastern area, 2,534 were from the northeastern area, 1,819 were from the central area, and 494 were from the western area. The median hospital costs presented a significant difference among each region, which were 2175.9, 2175.1, 2477.7, and 2282.4 dollars in each area, respectively. Each region showed a similar hospital cost proportion size order of cost components, which was Western medicine costs, other costs, diagnostic costs, and traditional medicine costs, in descending order. Male sex, diabetes mellitus, severe stroke symptoms, longer length of stay, admission to the intensive care unit, in-hospital complications of hemorrhage, and thrombectomy were independently associated with hospital costs in most regions. Conclusion: Hospital costs in different regions showed a similar proportion size order of components in China. Each region had different determinants of hospital costs, which reflected its current medical conditions and provided potential determinants for increasing medical efficiency according to each region's situation.
| S-EPMC8702643 | biostudies-literature
Project description:Background and purposeLittle is currently known about the cost-effectiveness of intensive care of acute ischemic stroke (AIS). We evaluated 1-year costs and outcome for patients with AIS treated in the intensive care unit (ICU).Materials and methodsA single-center retrospective study of patients admitted to an academic ICU with AIS between 2003 and 2013. True healthcare expenditure was obtained up to 1 year after admission and adjusted to consumer price index of 2019. Patient outcome was 12-month functional outcome and mortality. We used multivariate logistic regression analysis to identify independent predictors of favorable outcomes and linear regression analysis to assess factors associated with costs. We calculated the effective cost per survivor (ECPS) and effective cost per favorable outcome (ECPFO).ResultsThe study population comprised 154 patients. Reasons for ICU admission were: decreased consciousness level (47%) and need for respiratory support (40%). There were 68 (44%) 1 year survivors, of which 27 (18%) had a favorable outcome. High age (odds ratio [OR] 0.95, 95% confidence interval [CI] 0.91-0.98) and high hospital admission National Institutes of Health Stroke Scale score (OR 0.92, 95% CI 0.87-0.97) were independent predictors of poor outcomes. Increased age had a cost ratio of 0.98 (95% CI 0.97-0.99) per added year. The ECPS and ECPFO were 115,628€ and 291,210€, respectively.ConclusionsTreatment of AIS in the ICU is resource-intense, and in an era predating mechanical thrombectomy the outcome is often poor, suggesting a need for further research into cost-efficacy of ICU care for AIS patients.
| S-EPMC9304289 | biostudies-literature
Project description:IntroductionAn understanding of differences in hospital costs between patient groups is relevant for the efficient organisation of inpatient care. The main aim of this study was to confirm the hypothesis that eight a priori identified cost drivers influence per diem hospital costs. A second aim was to explore further variables that might influence hospital costs.MethodsThe study included 667 inpatient episodes consecutively discharged in 2014 at the psychiatric hospital of the Medical Centre-University of Freiburg. Fifty-one patient characteristics were analysed. Per diem costs were calculated from the hospital perspective based on a detailed documentation of resource use. Mixed-effects maximum likelihood regression and an ensemble of conditional inference trees were used to analyse data.ResultsThe study confirmed the a priori hypothesis that not being of middle age (33-64 years), danger to self, involuntary admission, problems in the activities of daily living, the presence of delusional symptoms, the presence of affective symptoms, short length of stay and the discharging ward affect per diem hospital costs. A patient classification system for prospective per diem payment was suggested with the highest per diem hospital costs in episodes having both delusional symptoms and involuntary admissions and the lowest hospital costs in episodes having neither delusional symptoms nor somatic comorbidities.ConclusionAlthough reliable cost drivers were identified, idiosyncrasies of mental health care complicated the identification of clear and consistent differences in hospital costs between patient groups. Further research could greatly inform current discussions about inpatient mental health reimbursement, in particular with multicentre studies that might find algorithms to split patients in more resource-homogeneous groups.
| S-EPMC4816317 | biostudies-literature
Project description:BackgroundHospital costs for stroke are increasing and variability in care quality creates inefficiencies. In 2007, the Victorian Government (Australia) employed clinical facilitators for three years in eight public hospitals to improve stroke care. Literature on the cost implications of such roles is rare. We report changes in the costs of acute stroke care following implementation of this program.MethodsObservational controlled before-and-after cohort design. Standardised hospital costing data were compared pre-program (financial year 2006-07) and post-program (2010-11) for all admitted episodes of stroke or transient ischaemic attack (TIA) using ICD-10 discharge codes. Costs in Australian dollars (AUD) were adjusted to a common year 2010. Generalised linear regression models were used for adjusted comparisons.ResultsA 20% increase in stroke and TIA episodes was observed: 2624 pre-program (age > 75 years: 53%) and 3142 post-program (age > 75 years: 51%); largely explained by more TIA admissions (up from 785 to 1072). Average length of stay reduced by 22% (pre-program 7.3 days to post-program 5.7 days, p < 0.001). Six hospitals provided cost data. Average per-episode costs decreased by 10% (pre-program AUD7888 to post-program AUD7115). After adjusting for age, sex, stroke type, and hospital, average per-episode costs decreased by 6.1% from pre to post program (p = 0.025). When length of stay was additionally adjusted for, these costs increased by 10.8%, indicating a greater mean cost per day (p < 0.001).ConclusionCost containment of acute inpatient episodes was observed after the implementation of stroke clinical facilitators, likely associated with the shorter lengths of stay.
| S-EPMC6337854 | biostudies-literature
Project description:ObjectivesThere have been no ischemic stroke costing studies since major improvements were implemented in stroke care. We therefore determined hospital resource use and costs of ischemic stroke and TIA in the Netherlands for 2012.MethodsWe conducted a retrospective cost analysis using individual patient data from a national diagnosis-related group registry. We analyzed 4 subgroups: inpatient ischemic stroke, inpatient TIA, outpatient ischemic stroke, and outpatient TIA. Costs of carotid endarterectomy and costs of an extra follow-up visit were also estimated. Unit costs were based on reference prices from the Dutch Healthcare Insurance Board and tariffs provided by the Dutch Healthcare Authority. Linear regression analysis was used to examine the association between hospital costs and various patient and hospital characteristics.ResultsA total of 35,903 ischemic stroke and 21,653 TIA patients were included. Inpatient costs were €5,328 ($6,845) for ischemic stroke and €2,470 ($3,173) for TIA. Outpatient costs were €495 ($636) for ischemic stroke and €587 ($754) for TIA. Costs of carotid endarterectomy were €6,836 ($8,783). Costs of inpatient days were the largest contributor to hospital costs. Age, hospital type, and region were strongly associated with hospital costs.ConclusionsHospital costs are higher for inpatients and ischemic strokes compared with outpatients and TIAs, with length of stay (LOS) the most important contributor. LOS and hospital costs have substantially declined over the last 10 years, possibly due to improved hospital stroke care and efficient integrated stroke services.
| S-EPMC4456655 | biostudies-literature
Project description:In-hospital delay reduces the benefit of intravenous thrombolysis (IVT) in acute ischemic stroke (AIS), while factors affecting in-hospital delay are less well known in Chinese. We are aiming at determining the specific factors associated with in-hospital delay through a hospital based cohort. In-hospital delay was defined as door-to-needle time (DTN) ≥60 min (standard delay criteria) or ≥75% percentile of all DTNs (severe delay criteria). Demographic data, time intervals [onset-to-door time (OTD), DTN, door-to-examination time (DTE), door-to-imaging time (DTI), door-to-laboratory time (DTL) and final-test-to-needle time (FTN, the time interval between the time obtaining the result of the last screening test and the needle time)], medical history and additional variables were calculated using Mann-Whitney U or Pearson Chi-Square tests for group comparison, and multivariate linear regression analysis was performed to identify independent variables of in-hospital delay. A total of 202 IVT cases were enrolled. The median age was 61 years and 25.2% were female. The cutoff points for the upper quartile of DTN (severe delay criteria) was 135 min.When compared with the reference group without in-hospital delay, older age, shorter OTD and less referral were found in the standard delay group and male sex, presence with transient ischemic attacks or rapidly improving symptom, and with multi-model CT imaging were more frequent in the severe delay group. In the multivariate linear regression analysis, FTN (P<0.001) and DTL (P = 0.002) were significantly associated with standard delay; while DTE (P = 0.005), DTI (P = 0.033), DTL (P<0.001), and FTN (P<0.001) were positively associated with severe delay. There was not a significant change in the trend of DTNs during the study period (P = 0.054). In-hospital delay was due to multifactors in China, in which time delays of decision-making process and laboratory tests contributed the most. Efforts aiming at reducing the delay should be focused on the optimization for the items of screening tests and improvement of the pathway organization.
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Project description:BackgroundPatients with ischemic stroke and diabetes are classified as extreme risk for secondary prevention, with much attention and specific management. However, the up-to-date information regarding the burden of diabetes in acute ischemic stroke (AIS) patients is lacking in China, and evidence for an association between diabetes and in-hospital outcomes after AIS remains controversial.MethodsThis quality improvement study was conducted at 1,476 participating hospitals in the Chinese Stroke Center Alliance between 2015 and 2019. Prevalence of diabetes was evaluated in the overall study population and different subgroups. The association between diabetes and in-hospital outcomes in AIS patients was analyzed by using multivariable logistic regression analysis and propensity score-matched analysis.ResultsOf 838,229 patients with AIS, 286,252 (34.2%) had diabetes/possible diabetes. The prevalence of diabetes/possible diabetes was higher in women than in men (37.6% versus 32.1%). Patients with diabetes/possible diabetes had higher rates of adverse in-hospital outcomes than those without. Multivariable analysis revealed a significant association between diabetes/possible diabetes and adverse in-hospital outcomes (all-cause mortality: odds ratio [OR], 1.30 [95% confidence interval [CI], 1.23-1.38]; major adverse cardiovascular events (MACEs): OR, 1.08 [95% CI, 1.06-1.10]) in AIS patients. The excess risk of in-hospital outcomes still remained in AIS patients with diabetes/possible diabetes after propensity score-matching analysis (all-cause mortality: OR, 1.26 [95% CI, 1.17-1.35]; MACEs: OR, 1.07 [95% CI, 1.05-1.10]).ConclusionDiabetes was highly prevalent among AIS patients in China and associated with worse in-hospital outcomes. Greater efforts to increase targeted approach to secondary prevention treatments of diabetes in AIS patients are warranted.
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Project description:ObjectivesStroke is the leading cause of death and adult disability in China, following a rise in incidence over the last few decades. We aimed to explore the geographic variations in hospital mortality and endovascular therapy (EVT) use among ischaemic stroke (IS) patients in China, and investigate the associated potential risk factors.DesignObservational cross-sectional study of patients hospitalised for stroke.SettingHospital discharge data for 1267 tertiary hospitals between 1 January 2015 and 31 December 2015 were derived from the Nationwide Hospital Discharge Database operated by the National Health Commission of China.Participants1 826 332 patients aged ≥18 years, hospitalised following stroke.Outcome measuresIn-hospital mortality and EVT use.ResultsThe nationwide hospital mortality rate of IS patients was 0.88% (95% CI 0.86% to 0.90%); there was a significantly greater risk of mortality in the Northeast (OR 2.37; 95% CI 2.23 to 2.52), West (1.65; 1.54 to 1.78), South (1.25; 1.17 to 1.33) and North (1.29; 1.20 to 1.39) than in the East. Tertiary B hospitals (OR 1.05; 95% CI 1.00 to 1.09), patients admitted from emergency departments and older patients were associated with higher hospital mortality. The national EVT use rate was 0.45% (95% CI 0.44% to 0.46%). Compared with in East China, EVT use was significantly lower in the Northeast (OR 0.22; 95% CI 0.20 to 0.24) and West (0.64; 0.58 to 0.71), though not the North (1.23; 1.14 to 1.33). Tertiary A hospitals (OR 2.62; 95% CI 2.43 to 2.83), male patients and patients admitted from emergency departments were also associated with higher EVT use rates.ConclusionsThere were substantial disparities in mortality and EVT use for hospitalised patients with IS among China's tertiary hospitals, linked with both geographic and hospital characteristics. More targeted intervention at regional and hospital levels is needed for providing effective health technologies and eventually improving post-stroke outcomes.
| S-EPMC6597735 | biostudies-literature
Project description:Background and purpose: Urinary tract infection (UTI) is one of the most common complications following stroke and has prognostic significance. UTI rates have been shown to vary between hospitals, but it is unclear whether this is due to case-mix differences or heterogeneities in care among hospitals. Methods: A prospective multi-center cohort study of acute stroke patients admitted to eight National Health Service (NHS) acute hospital trusts within the Anglia Stroke & Heart Clinical Network between 2009 and 2011 was conducted. We modeled the association between hospital (as a fixed-effect) and inpatient UTI using a multivariable logistic regression model, adjusting for established patient-level risk factors. We graphically and descriptively analyzed heterogeneities in hospital-level characteristics. Results: We included 2,241 stroke admissions in our analysis; 171 (7.6%) acquired UTI as an inpatient. UTI rates varied significantly between the eight hospitals, ranging from 3 to 11%. The hospital that had the lowest odds of UTI [odds ratio (OR) = 0.50 (95% confidence interval (CI) 0.22-.11)] in adjusted analysis, had the highest number of junior doctors and occupational therapists per five beds of all hospitals. The hospital with the highest adjusted UTI rate [OR=2.69 (1.56-4.64)] was tertiary, the largest and had the highest volume of stroke patients, lowest number of stroke unit beds per 100 admissions, and the highest number of hospital beds per CT scanner. Conclusions: There is hospital-level variation in post-stroke UTI. Our results suggest the potential influence of service characteristics independently of patient-level factors which may be amenable to be addressed to improve the ultimate stroke outcome.
| S-EPMC6691802 | biostudies-literature
Project description:BackgroundStroke patients have a high incidence of comorbidity. Previous studies have shown that comorbidity can impact on the short-term and long-term mortality after stroke.MethodsOur study aimed to explore the trend of comorbidity among patients with first stroke from 2010 to 2020, and the influence of comorbidity on admission mortality, length of stay and hospitalization costs. 5988 eligible patients were enrolled in our study, and divided into 4 comorbidity burden groups according to Charlson comorbidity index (CCI): none, moderate, severe, very severe. Survival analysis was expressed by Kaplan-Meier curve. Cox regression model was used to analyze the effect of comorbidity on 7-day and in-hospital mortality. Generalized linear model (GLM) was used to analyze the association between comorbidity and hospitalization days and cost.ResultsCompared to patients without comorbidity, those with very severe comorbidity were more likely to be male (342, 57.7%), suffer from ischemic stroke (565, 95.3%), afford higher expense (Midian, 19339.3RMB, IQR13020.7-27485.9RMB), and have a higher in-hospital mortality (60, 10.1%). From 2010 to 2020, proportion of patients with severe and very severe comorbidity increased 12.9%. The heaviest comorbidity burden increased the risk of 7-day mortality (adjusted hazard ratio, 3.51, 95% CI 2.22-5.53) and in-hospital mortality (adjusted hazard ratio, 3.83, 95% CI 2.70-5.45). Patients with very severe comorbidity had a 12% longer LOS and extra 27% expense than those without comorbidity.ConclusionsComorbidity burden showed an increasing trend year in past eleven years. The heavy comorbidity burden increased in-hospital mortality, LOS, and hospitalization cost, especially in patients aged 55 years or more. The findings also provide some reference on improvement of health care reform policies and allocation of resources.
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