Dataset Information

Evolving Healthcare Quality in Top Tertiary General Hospitals in China during the China Healthcare Reform (2010-2012) from the Perspective of Inpatient Mortality.

ABSTRACT: Healthcare reforms (HR) initiated by many countries impacts on healthcare systems worldwide. Being one of fast developing countries, China launched HR in 2009. Better understanding of its impact is helpful for China and others in further pursuit of HR. Here we evaluate inpatient mortality, a proxy to healthcare quality, in 43 top tertiary hospitals in China during this critical period. This is a hospital-based observational study with 8 million discharge summary reports (DSR) from 43 Chinese hospitals from 2010-2012. Using DSRs, we extract the vita status as the outcome, in addition to age, gender, diagnostic codes, and surgical codes. Nearly all hospitals have expanded their hospitalization capacities during this period. As of year 2010, inpatient mortality (IM) across hospitals varies widely from 2‰ to 20‰. Comparing IM of year 2011 and 2012 with 2010, the overall IM has been substantially reduced (OR = 0.883 and 0.766, p-values<0.001), showing steady improvements in healthcare quality. Surgical IM correlates with the overall IM (correlation = 0.60, p-value <0.001), but is less uniform. Over these years, surgical IM has also been steadily reduced (OR = 0.890 and 0.793, p-values<0.001). Further analyses of treatments on five major diseases and six major surgeries revealed that treatments of myocardial infarction, cerebral hemorrhage and cerebral infarction have significant improvement. Observed temporal and spatial variations demonstrate that there is a substantial disparity in healthcare quality across tertiary hospitals, and that these hospitals are rapidly improving healthcare quality. Evidence-based assessment shed light on the reform impact. Lessons learnt here are relevant to further refining HR.

SUBMITTER: Ma XM

PROVIDER: S-EPMC4666409 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundThe excessive use of resources and poor quality of care are great concerns worldwide, particularly in China. In 2013, a model of systematic reforms was developed in Sanming to address the inefficiency and waste in public hospitals. However, limited empirical studies have evaluated the effect of Sanming healthcare reform on antibiotic appropriate use. This study aims to evaluate the impact of the healthcare reform on the appropriate use of antibiotics in county-level public hospitals in Sanming, China.MethodsWe conducted a retrospective observational study exploring trends in antibiotic use with an interrupted time series design. We selected three county-level hospitals in Sanming and extracted outpatient prescriptions of the Departments of Internal Medicine and the Department of Pediatrics between January 2011 and December 2017. Acute Upper Respiratory Tract Infection (AURI), Acute Bronchitis (AB) and Community Acquired Pneumonia (CAP) were selected as the sample diseases for our analysis. The primary outcome was the percentage of prescriptions conformed with standard treatment guidelines (STGs).ResultsA total of 142,180 prescriptions were included in the analysis. During the study period, the percentage of antibiotics prescriptions conformed with STGs boosted from 32.4% in 2011 to 82.3% in 2017. Moreover, after the reform, the rate of prescriptions that conformed with STGs showed significant increasing trends in children with AURI (β = 1.624, p < 0.001), children with AB (β = 3.123, p < 0.001), adult with AB (β = 1.665, p < 0.001), children with CAP (β = 3.123, p < 0.001), adult with CAP (β = 4.385, p < 0.001), but not in adult patients with AURI (β = -0.360, p = 0.022).ConclusionOur study confirmed that the Sanming healthcare reform helped to promote the appropriate use of antibiotics in county-level hospitals. This systematic approach to healthcare reform, characterized by an effective governance structure, dynamic financial compensation mechanisms, and specialized drug stewardship, is promising for future public hospital reforms.

Project description:ObjectiveSince China launched its nationwide systemic healthcare reform in 2009, policies such as the elimination of drug markups and the reform of medical insurance payments have forced some hospitals into a crisis threatening their survival. Both public and private hospitals have been building and strengthening their capacity to achieve sustainable development. However, the existing research has not provided a comprehensive evaluation tool required to support this effort. Therefore, this study develops an organisational capability evaluation index system to help public and private hospitals assess their current conditions.DesignThe Delphi method was used to construct a hospital organisational capability evaluation index system in conjunction with the boundary value method and an analytic hierarchical process. Then, a questionnaire survey was administered in 55 hospitals (32 non-profit and 23 for-profit hospitals), and Cronbach's α and a factor analysis were used to verify the index system's reliability and validity.Setting and participantsA literature review and semistructured interviews with 23 hospital managers and scholars clarified the definition of hospital organisational capability and formed an indicator pool. Additionally, 20 hospital directors were selected from public and private hospitals to participate in two rounds of the Delphi consultation.ResultsThe Delphi consultation resulted in an index system including 12 primary and 40 secondary indicators demonstrated to be reliable and valid. The three indicators with the largest weights were 'regulation capability' (0.251), 'decision-making capability' (0.121) and 'executive capability' (0.105).ConclusionThis study constructed an index system based on theoretical and practical considerations, and is expected to be applied to quantitatively evaluate the organisational capability of both public and private hospitals in China, and support their adaptation to external environmental changes.

Project description:BackgroundChina has the third largest number of TB cases in the world, and the average annual floating population in China is more than 200 million, the increasing floating population across regions has a tremendous potential for spreading infectious diseases, however, the role of increasing massive floating population in tuberculosis transmission is yet unclear in China.Methods29,667 tuberculosis flow data were derived from the new smear-positive pulmonary tuberculosis cases in China. Spatial variation of TB transmission was measured by geodetector q-statistic and spatial interaction model was used to model the tuberculosis flow and the regional socioeconomic factors.ResultsTuberculosis transmission flow presented spatial heterogeneity. The Pearl River Delta in southern China and the Yangtze River Delta along China's east coast presented as the largest destination and concentration areas of tuberculosis inflows. Socioeconomic factors were determinants of tuberculosis flow. Some impact factors showed different spatial associations with tuberculosis transmission flow. A 10% increase in per capita GDP was associated with 10.2% in 2010 or 2.1% in 2012 decrease in tuberculosis outflows from the provinces of origin, and 1.2% in 2010 or 0.5% increase in tuberculosis inflows to the destinations and 18.9% increase in intraprovincial flow in 2012. Per capita net income of rural households and per capita disposable income of urban households were positively associated with tuberculosis flows. A 10% increase in per capita net income corresponded to 14.0% in 2010 or 3.6% in 2012 increase in outflows from the origin, 44.2% in 2010 or 12.8% increase in inflows to the destinations and 47.9% increase in intraprovincial flows in 2012. Tuberculosis incidence had positive impacts on tuberculosis flows. A 10% increase in the number of tuberculosis cases corresponded to 2.2% in 2010 or 1.1% in 2012 increase in tuberculosis inflows to the destinations, 5.2% in 2010 or 2.0% in 2012 increase in outflows from the origins, 11.5% in 2010 or 2.2% in 2012 increase in intraprovincial flows.ConclusionsTuberculosis flows had clear spatial stratified heterogeneity and spatial autocorrelation, regional socio-economic characteristics had diverse and statistically significant effects on tuberculosis flows in the origin and destination, and income factor played an important role among the determinants.

Project description:ImportanceThe rising threat of antibiotic resistance and other adverse consequences resulting from the misuse of antibiotics requires a better understanding of antibiotic use in hospitals in the United States.ObjectiveTo use proprietary administrative data to estimate patterns of US inpatient antibiotic use in recent years.Design, setting, and participantsFor this retrospective analysis, adult and pediatric in-patient antibiotic use data was obtained from the Truven Health MarketScan Hospital Drug Database (HDD) from January 1, 2006, to December 31, 2012. Data from adult and pediatric patients admitted to 1 of approximately 300 participating acute care hospitals provided antibiotic use data for over 34 million discharges representing 166 million patient-days.Main outcomes and measuresWe retrospectively estimated the days of therapy (DOT) per 1000 patient-days and the proportion of hospital discharges in which a patient received at least 1 dose of an antibiotic during the hospital stay. We calculated measures of antibiotic usage stratified by antibiotic class, year, and other patient and facility characteristics. We used data submitted to the Centers for Medicare and Medicaid Services Healthcare Cost Report Information System to generate estimated weights to apply to the HDD data to create national estimates of antibiotic usage. A multivariate general estimating equation model to account for interhospital covariance was used to assess potential trends in antibiotic DOT over time.ResultsDuring the years 2006 to 2012, 300 to 383 hospitals per year contributed antibiotic data to the HDD. Across all years, 55.1% of patients received at least 1 dose of antibiotics during their hospital visit. The overall national DOT was 755 per 1000 patient-days. Overall antibiotic use did not change significantly over time. The multivariable trend analysis of data from participating hospitals did not show a statistically significant change in overall use (total DOT increase, 5.6; 95% CI, -18.9 to 30.1; P = .65). However, the mean change (95% CI) for the following antibiotic classes increased significantly: third- and fourth-generation cephalosporins, 10.3 (3.1-17.5); macrolides, 4.8 (2.0-7.6); glycopeptides, 22.4 (17.5-27.3); β-lactam/β-lactamase inhibitor combinations, 18.0 (13.3-22.6); carbapenems, 7.4 (4.6-10.2); and tetracyclines, 3.3 (2.0-4.7).Conclusions and relevanceOverall DOT of all antibiotics among hospitalized patients in US hospitals has not changed significantly in recent years. Use of some antibiotics, especially broad spectrum agents, however, has increased significantly. This trend is worrisome in light of the rising challenge of antibiotic resistance. Our findings can help inform national efforts to improve antibiotic use by suggesting key targets for improvement interventions.

Project description:BackgroundIn 2013 the United States spent $2.9 trillion on health care, more than in any previous year. Much of the debate around slowing health care spending growth focuses on the complicated pricing system for services. Our investigation contributes to knowledge of health care spending by assessing the relationship between charges and payments in the inpatient hospital setting. In the US, charges and payments differ because of a complex set of incentives that connect health care providers and funders. Our methodology can also be applied to adjust charge data to reflect actual spending.MethodsWe extracted cause of health care encounter (cause), primary payer (payer), charge, and payment information for 50,172 inpatient hospital stays from 1996 through 2012. We used linear regression to assess the relationship between charges and payments, stratified by payer, year, and cause. We applied our estimates to a large, nationally representative hospital charge sample to estimate payments.ResultsThe average amount paid per $1 charged varies significantly across three dimensions: payer, year, and cause. Among the 10 largest causes of health care spending, average payments range from 23 to 55 cents per dollar charged. Over time, the amount paid per dollar charged is decreasing for those with private or public insurance, signifying that inpatient charges are increasing faster than the amount insurers pay. Conversely, the amount paid by out-of-pocket payers per dollar charged is increasing over time for several causes. Applying our estimates to a nationally representative hospital charge sample generates payment estimates which align with the official US estimates of inpatient spending.ConclusionsThe amount paid per $1 charged fluctuates significantly depending on the cause of a health care encounter and the primary payer. In addition, the amount paid per charge is changing over time. Transparent accounting of hospital spending requires a detailed assessment of the substantial and growing gap between charges and payments. Understanding what is driving this divergence and generating accurate spending estimates can inform efforts to contain health care spending.

Project description:BACKGROUND:Widespread adoption and continued developments in mobile health care technologies have led to the improved accessibility and quality of medical services. In China, WeChat, an instant messaging and social networking app released by the company Tencent, has developed a specific type of user account called WeChat official account (WOA), which is now widely adopted by hospitals in China. It enables health care providers to connect with local citizens, allowing them to, among other actions, send regular updates through mass circulation. However, with the diversity in function provided by WOA, little is known about its major constitution as well as the influence factors on the WeChat communication index (WCI). The WCI has been widely used in social media impact ranking with various types of WeChat content to fully reflect the dissemination and coverage of tweets as well as the maturity and impact of WOA. OBJECTIVE:There are two typical WOAs available to users, namely, WeChat subscription account (WSSA) and WeChat service account (WSVA). The biggest difference between them is the frequency of messages transmitted. This study aimed to explore the function constitution of WSVA adopted by top tertiary hospitals in China and the major contributors of the WCI score. METHODS:A total of 681 top tertiary hospitals were selected from the Hospital Quality Monitoring System; the WOA of every top tertiary hospital was retrieved in the WeChat app. We divided core functional items of WSVAs using categorical principal component analysis. To elicit the factors that influenced the use of WSVA, quantile regression was employed to analyze the WCI score. RESULTS:From the 668 WOAs identified, adoption of WSVAs (543/668, 81.3%) was more than that of WSSAs (125/668, 18.7%). Functional items of WSVAs were categorized into four clusters: (1) hospital introduction, (2) medical services, (3) visiting assistants, and (4) others. With regard to the influence factors on the WCI, the impact of the activity index of WSVA and the total visiting number of outpatients and emergencies on WCI were statistically significant and positive in all quantiles. However, the year of certification, the type of hospital, the year of public hospital reform, and the number of beds merely affected the WCI at some quantiles. CONCLUSIONS:Our findings are considered helpful to tertiary hospitals in developing in-depth functional items that improve patient experience. The tertiary hospitals should take full advantage of times of posting and provide high-quality tweets to meet the various needs of patients.

Dataset Information

Evolving Healthcare Quality in Top Tertiary General Hospitals in China during the China Healthcare Reform (2010-2012) from the Perspective of Inpatient Mortality.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets