Predictors of Gaps in Patient Safety and Quality in U.S. Hospitals.
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ABSTRACT:
SUBMITTER: Unruh L
PROVIDER: S-EPMC5134134 | biostudies-literature | 2016 Dec
REPOSITORIES: biostudies-literature
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Predictors of Gaps in Patient Safety and Quality in U.S. Hospitals.
Health services research 20160229 6
<h4>Objective</h4>To explore predictors of gaps between observed and best possible Hospital Compare scores in U.S. hospitals.<h4>Data sources</h4>American Hospital Association Annual Survey; Area Resource Files; Centers for Medicare and Medicaid Services Medicare Provider and Analysis Review; and Hospital Compare data.<h4>Study design</h4>Using Stochastic Frontier Analysis and secondary cross-sectional data, gaps between the best possible and actual scores of Hospital Compare quality measures we ...[more]
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Project description:BackgroundDeveloping a patient safety culture was one of the recommendations made by the Institute of Medicine to assist hospitals in improving patient safety. In recent years, a multitude of evidence, mostly originating from developed countries, has been published on patient safety culture. One of the first efforts to assess the culture of safety in the Eastern Mediterranean Region was by El-Jardali et al. (2010) in Lebanon. The study entitled "The Current State of Patient Safety Culture: a study at baseline" assessed the culture of safety in Lebanese hospitals. Based on study findings, the objective of this paper is to explore the association between patient safety culture predictors and outcomes, taking into consideration respondent and hospital characteristics. In addition, it will examine the correlation between patient safety culture composites.MethodsSixty-eight hospitals and 6,807 respondents participated in the study. The study which adopted a cross sectional research design utilized an Arabic-translated version of the Hospital Survey on Patient Safety Culture (HSOPSC). The HSOPSC measures 12 patient safety composites. Two of the composites, in addition to a patient safety grade and the number of events reported, represented the four outcome variables. Bivariate and mixed model regression analyses were used to examine the association between the patient safety culture predictors and outcomes.ResultsSignificant correlations were observed among all patient safety culture composites but with differences in the strength of the correlation. Generalized Estimating Equations for the patient safety composite scores and respondent and hospital characteristics against the patient safety grade and the number of events reported revealed significant correlations. Significant correlations were also observed by linear mixed models of the same variables against the frequency of events reported and the overall perception of safety.ConclusionEvent reporting, communication, patient safety leadership and management, staffing, and accreditation were identified as major patient safety culture predictors. Investing in practices that tackle these issues and prioritizing patient safety is essential in Lebanese hospitals in order to improve patient safety. In addition, further research is needed to understand the association between patient safety culture and clinical outcomes.
| S-EPMC3053221 | biostudies-literature
Project description:BackgroundHospitals are closing after poor financial performance leaving many patients without access to medical care. Identifying the factors associated with financial distress offers hospitals avenues for potential intervention to avoid bankruptcy and closure.Materials and methodsWe performed a retrospective analysis of private U.S. hospitals' financial information from 2011 to 2018. A mixed effects logistic regression model was used with the primary outcome of hospital financial distress (based on the Altman Z-score).ResultsOur sample included 2,720 private hospitals contributing a total of 20,022 hospital-year observations. The proportion of hospitals experiencing financial distress each year ranged from 22.0% to 24.3%. For-profit status was associated with an increased odds of financial distress (adjusted odds ratio (aOR), 4.36 [95% Confidence Interval (CI) 3.05 - 6.24]) as compared to non-profit status. A higher share of hospital revenue from Medicaid was also associated with increased odds of financial distress (aOR for the highest quartile, 2.28 [95% CI 1.73 - 3.00]) as compared to the lowest quartile. A higher case mix index (aOR for the highest quartile, 0.32 [95% CI 0.23 - 0.46]) and an increased share of hospital revenue from outpatient services (aOR for the highest quartile, 0.34 [95% CI 0.23 - 0.49]) were associated with decreased odds of financial distress as compared to their respective lowest quartiles.ConclusionsA significant proportion of private U.S. hospitals experience financial distress. Increasing case complexity and the proportion of patient revenue from outpatient services may represent avenues to avoid financial distress.
| S-EPMC8678151 | biostudies-literature
Project description:AbstractAn organization's culture with regard to patient safety is important because it defines the beliefs and practices of the organization, and consequently its efficiency and productivity.Knowing the level of this and the factors that influence or not their dynamic represents a challenge, due to the degree of complexity and specificity of the elements involved.The aim of this study was to analyze predictors of patient safety culture in public and private hospitals and examining the factors that contribute to it, constructing a new and specific theoretical and methodological model.This study was carried out by reviewing medical records, detecting healthcare professionals directly involved in caring (N = 588), for patients in 2 public hospitals and 2 private hospitals in Venezuela (N = 566), conducting an "Analysis of Patient Safety Culture" questionnaire. The results were subsequently analyzed, derived 3 predictors factors and using a Patient Safety Culture Index (PSCI) for specific determination to evaluate patient safety culture level.The analysis showed that all hospitals had a "moderately unfavorable" PSCI (public = 52.96, private = 52.67, sig = 0.90). The PSCI was calculated by assessing the weight of the following factors in the index: occupational factors (factor loading = 32.03), communication factors (factor loading = 11.83), and organizational factors (factor loading = 9.10). Traumatology presented the lowest PSCI of all the care units, falling into the "unfavorable" category (36.48), and Laboratory the highest (70.02) (sig = 0.174), falling into the "moderately favorable" category. When analyzing professional groups, nurses had the highest PSCI, with a "moderately unfavorable" rating (PSCI = 61.1) and medical residents the lowest, falling into the "unfavorable" category (35.2). Adverse event reporting is determined by "management expectations and actions" (sig = 0.048) and "direct interaction with the patient" (sig = 0.049).The use of this theoretical and methodological approach in other contexts may provide a more objective system for identifying more specific needs and factors that influence in patient safety culture, and consequently, opportunities for improvement when constructing a patient safety culture in healthcare institutions. Efforts need to be made to improve safety culture in the hospitals studied, irrespective of whether they are public or private.
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Project description:BackgroundPrevious research addressed the development of a classification scheme for quality improvement systems in European hospitals. In this study we explore associations between the 'maturity' of the hospitals' quality improvement system and clinical outcomes.MethodsThe maturity classification scheme was developed based on survey results from 389 hospitals in eight European countries. We matched the hospitals from the Spanish sample (113 hospitals) with those hospitals participating in a nation-wide, voluntary hospital performance initiative. We then compared sample distributions and explored associations between the 'maturity' of the hospitals' quality improvement system and a range of composite outcomes measures, such as adjusted hospital-wide mortality, -readmission, -complication and -length of stay indices. Statistical analysis includes bivariate correlations for parametrically and non-parametrically distributed data, multiple robust regression models and bootstrapping techniques to obtain confidence-intervals for the correlation and regression estimates.ResultsOverall, 43 hospitals were included. Compared to the original sample of 113, this sample was characterized by a higher representation of university hospitals. Maturity of the quality improvement system was similar, although the matched sample showed less variability. Analysis of associations between the quality improvement system and hospital-wide outcomes suggests significant correlations for the indicator adjusted hospital complications, borderline significance for adjusted hospital readmissions and non-significance for the adjusted hospital mortality and length of stay indicators. These results are confirmed by the bootstrap estimates of the robust regression model after adjusting for hospital characteristics.ConclusionsWe assessed associations between hospitals' quality improvement systems and clinical outcomes. From this data it seems that having a more developed quality improvement system is associated with lower rates of adjusted hospital complications. A number of methodological and logistic hurdles remain to link hospital quality improvement systems to outcomes. Further research should aim at identifying the latent dimensions of quality improvement systems that predict quality and safety outcomes. Such research would add pertinent knowledge regarding the implementation of organizational strategies related with quality of care outcomes.
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Project description:OBJECTIVE: To examine the extent of implementation for patient safety (PS) and patient-centeredness (PC) strategies and their association with hospital characteristics (type, ownership, teaching status, annual evaluation grade) in Iran. METHODS: A cross-sectional study through an adapted version of the MARQuIS questionnaire, eliciting information from hospital and nursing managers in 84 Iranian hospitals on the implementation of PS and PC strategies in 2009-2010. RESULTS: The majority of hospitals reported to have implemented 84% of the PS and 72% of the PC strategies. In general, implementation of PS strategies was unrelated to the type of hospital, with the exception of health promotion reports, which were more common in the Social Security Organization (SSO), and MRSA testing, which was reported more often in nonprofit hospitals. MRSA testing was also more common among teaching hospitals compared to non-teaching hospitals. The higher grade hospitals reported PS strategies significantly more frequently than lower grade hospitals. Overall, there was no significant difference in the reported implementation of PC strategies across general and specialized hospitals; except for the provision of information in different languages and recording of patient's diet which were reported significantly more often by general than specialized hospitals. Moreover, patient hotel services were more common in private compared to public hospitals. CONCLUSIONS: Despite substantial reporting of PS and PC strategies, there is still room for strengthening standard setting on safety, patient services and patient-centered information strategies in Iranian hospitals. To assure effective implementation of PS and PC strategies, enforcing standards, creating a PS and PC culture, increasing organizational responsiveness, and partnering with patients and their families need more attention.
| S-EPMC4182570 | biostudies-other
Project description:BackgroundHigh-quality care is a clear objective for hospital leaders, but hospitals must balance investing in quality with financial stability. Poor hospital financial health can precipitate closure, limiting patients' access to care. Whether hospital quality is associated with financial health remains poorly understood. The objective of this study was to compare financial performance at high-quality and low-quality hospitals.MethodsWe performed a retrospective observational cohort study of U.S. hospitals using the American Hospital Association and Hospital Compare datasets for years 2013 to 2018. We used multilevel mixed-effects linear and logistic regression models with fixed year effects and random intercepts for hospitals to identify associations between hospitals' measured quality outcomes-30-day hospital-wide readmission rate and the patient safety indicator-90 (PSI-90)-and their financial margins and risk of financial distress in the same year and the subsequent year. Our sample included 20,919 observations from 4,331 unique hospitals.ResultsIn 2018, the median 30-day readmission rate was 15.2 (interquartile range [IQR] 14.8-15.6), the median PSI-90 score was 0.96 (IQR 0.89-1.07), the median operating margin was -1.8 (IQR -9.7-5.9), and 750 (22.7%) hospitals experienced financial distress. Hospitals in the best quintile of readmission rates experienced higher operating margins (+0.95%, 95% CI [0.51-1.39], p < .001) and lower odds of distress (odds ratio [OR] 0.56, 95% CI [0.45-0.70], p < .001) in the same year as compared to hospitals in the worst quintile. Hospitals in the best quintile of PSI-90 had higher operating margins (+0.62%, 95% CI [0.17-1.08], p = .007) and lower odds of financial distress (OR 0.70, 95% CI [0.55-0.89], p = .003) as compared to hospitals in the worst quintile. The results were qualitatively similar for the same-year and lag-year analyses.ConclusionHospitals that deliver high-quality outcomes may experience superior financial performance compared to hospitals with poor-quality outcomes.
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Project description:OBJECTIVES:New specialty drugs such as biologics are now available in record numbers, presenting increased safety risks for people with immune-mediated diseases. However, comprehensive assessments of patient safety for these drugs are lacking. We examined performance on key patient safety measures, such as screening for latent tuberculosis (LTBI), hepatitis B virus (HBV), and hepatitis C virus (HCV), for new users of a broad group of specialty medications. METHODS:Data were extracted via electronic health record data warehouses of a large university health system using structured queries, and extensive chart review was performed to confirm measure elements. We included all new users of immunosuppressive specialty drugs between 2013 and 2017. We assessed screening for LTBI, HBV, and HCV from 12 months before through 60 days after medication initiation, and calculated performance on a composite measure that required screening for all three infections. Multivariable logistic regression was used to assess differences in screening across specialties, adjusting for patient race, sex, age, and comorbidities. RESULTS:Among 2027 patients, the most common drugs prescribed were adalimumab (32%), etanercept (24%), infliximab (19%), and ustekinumab (9%). Overall, 62% of patients were screened for LTBI, 42% for HBV, and 33% for HCV. Only 26% of patients were screened appropriately for all three infections. Screening patterns differed significantly according to treating specialty. CONCLUSIONS:We found gaps in ambulatory safety for patients treated with immunosuppressive specialty drugs for diverse inflammatory conditions across all relevant treating specialties. More robust safety protocols are urgently needed to prevent serious patient safety events in this high-risk population.
| S-EPMC7433663 | biostudies-literature
Project description:BACKGROUND:In the healthcare sector, a comprehensive safety culture includes both patient care-related and occupational aspects. In recent years, healthcare studies have demonstrated diverse relationships between aspects of psychosocial working conditions, occupational, and patient safety culture. The aim of this study was to consider and test relevant predictors for staff's perceptions of occupational and patient safety cultures in hospitals and whether there are shared predictors. From two German university hospitals, 381 physicians and 567 nurses completed a questionnaire on psychosocial working conditions, occupational, and patient safety culture. Two regression models with predictors for occupational and patient safety culture were conceptually developed and empirically tested. In the Occupational Safety Culture model, job satisfaction (? = 0.26, p ? 0.001), work?privacy conflict (? = -0.19, p ? 0.001), and patient-related burnout (? = -0.20, p ? 0.001) were identified as central predictors. Important predictors in the Patient Safety Culture model were management support for patient safety (? = 0.24, p ? 0.001), supervisor support for patient safety (? = 0.18, p ? 0.001), and staffing (? = 0.21, p ? 0.001). The two models mainly resulted in different predictors. However, job satisfaction and leadership seem to play an important role in both models and can be used in the development of a comprehensive management of occupational and patient safety culture.
| S-EPMC6210136 | biostudies-literature
Project description:BackgroundThere is much variability in the measurement and monitoring of patient safety across healthcare organizations. With no recognized standardized approach, this study examines how the key components outlined in Vincent et al's Measuring and Monitoring Safety (MMS) framework can be utilized to critically appraise a healthcare safety surveillance system. The aim of this study is to use the MMS framework to evaluate the Saudi Arabian healthcare safety surveillance system for hospital care.MethodsThis qualitative study consisted of two distinct phases. The first phase used document analysis to review national-level guidance relevant to measuring and monitoring safety in Saudi Arabia. The second phase consisted of semi-structured interviews with key stakeholders between May and August 2020 via a video conference call and focused on exploring their knowledge of how patient safety is measured and monitored in hospitals. The MMS framework was used to support data analysis.ResultsThree documents were included for analysis and 21 semi-structured interviews were conducted with key stakeholders working in the Saudi Arabian healthcare system. A total of 39 unique methods of MMS were identified, with one method of MMS addressing two dimensions. Of these MMS methods: 10 (25 %) were concerned with past harm; 14 (35 %) were concerned with the reliability of safety critical processes, 3 (7.5 %) were concerned with sensitivity to operations, 2 (5 %) were concerned with anticipation and preparedness, and 11 (27.5 %) were concerned with integration and learning.ConclusionsThe document analysis and interviews show an extensive system of MMS is in place in Saudi Arabian hospitals. The assessment of MMS offers a useful framework to help healthcare organizations and researchers to think critically about MMS, and how the data from different methods of MMS can be integrated in individual countries or health systems.
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Project description:ObjectiveTo examine the relationship between nurse staffing patterns and patients' experience of care in hospitals with a particular focus on staffing flexibility.Data sources/study settingThe study sample comprised U.S. general hospitals between 2010 and 2012. Nurse staffing data came from the American Hospital Association Annual Survey, and patient experience data came from the Medicare Hospital Consumer Assessment of Healthcare Providers and Systems.Study designAn observational research design was used entailing a pooled, cross-sectional data set. Regression models were estimated using generalized estimating equation (GEE) and hospital fixed effects. Nurse staffing patterns were assessed based on both levels (i.e., ratio of full-time equivalent nurses per 1,000 patient days) and composition (i.e., skill mix-percentage of registered nurses; staffing flexibility-percentage of part-time nurses).Principal findingsAll three staffing variables were significantly associated with patient experience in the GEE analysis, but only staffing flexibility was significant in the fixed-effects analysis. A higher percentage of part-time nurses was positively associated with patient experience. Multiplicative and nonlinear effects for the staffing variables were also observed.ConclusionsAmong three staffing variables, flexibility was found to be the most important relative to patient experience. Unobserved hospital characteristics appear to underlie patient experience as well as certain nurse staffing patterns.
| S-EPMC5980189 | biostudies-literature