Variations in Quality Outcomes Among Hospitals in Different Types of Health Systems

Although prior research has found differences in costs and financial performance across different types of hospital systems, there has been no systematic study of variations in patient quality of care or safety indicators across different systems. Our study examines whether five main types of health systems - centralized (CHS), centralized physician/insurance (CPIHS), moderately centralized (MCHS), decentralized (DHS), and independent (IHS) - as well as other hospital characteristics are associated with differences in quality of patient care. Data were assembled for 6 years (1995 - 2000) from multiple sources. We used 4 AHRQ risk adjusted inpatient quality indicators (IQIs) and 5 risk-adjusted patient safety indicators (PSIs) as dependent variables. Random effects models were used in the analysis.It was found that the IQI and PSI models have different patterns. In the IQI models, CHS hospitals have lower AMI, CHF, Stroke, and Pneumonia mortality rates than hospitals in other system types. The PSI models did not indicate any systems\u27 effects on adverse event rates. It was also found that system hospitals\u27 compliance with the JCAHO performance area indicator for availability of patient specific information was associated with lower rates of CHF, Stroke, Pneumonia, and Infection due to medical care.The findings suggest that centralization of hospital structures may improve internal clinical processes by enhancing coordination of activities, communication between providers, timely adjustments of processes of care delivery and structures to external pressures. A lack of systems\u27 effect on adverse events may be explained by a newness of the patient safety issues for hospitals and possible changes in reporting patterns of medical errors after the Institute of Medicine report of 1999. A system hospitals\u27 compliance with the JCAHO performance area indicator may indicate improvements in information and clinical record systems.Hospital systems hold much potential for hospitals in improving patient quality of care and safety because they provide a laboratory for studying the health care process and sharing lessons across multiple institutions. Based on our findings, we recommend that future studies use a combination of IQIs and PSIs when examining institutional quality of care because both provide different and complementary information

Diabetes management before and after cancer diagnosis: missed opportunity

Background Few studies have examined the management of comorbidities in cancer patients. This study used population-based data to estimate the guideline concordance rates for diabetes management before and after cancer diagnosis and examined if diabetes management services among cancer patients was associated with characteristics of the hospital where the patient was treated. Methods We linked 2005-2009 Medicare claims data to information on 2,707 breast and colorectal cancers patients in state cancer registry files. Multivariate logistic regression models examined hospital characteristics associated with receipt of diabetes management care after cancer diagnosis. Results The rates of HbAlc testing, LDL-C testing, and retinal eye exam decreased from 72.7%, 79.6%, and 57.9% before cancer diagnosis to 58.3%, 69.5%, and 55.8% after diagnosis. The pre- and post-diagnosis diabetes management care was not significantly different by hospital characteristics in the bivariate analysis except for that the distance between residence and hospital was negatively related to retinal eye exam after diagnosis (P Conclusions Cancer patients received fewer diabetes management care after diagnosis than prior to diagnosis, even for those who were treated in large comprehensive centers. This may reflect a missed opportunity to connect diabetic cancer patients to diabetes care. This study provides benchmarks to measure improvements in comorbidity management among cancer patients

Polypectomy Techniques, Endoscopist Characteristics, and Serious Gastrointestinal Adverse Events

Background: A use of polypectomy techniques by endoscopist specialty (primary care, surgery, and gastroenterology) and experience (volume), and associations with serious gastrointestinal adverse events, were examined. Methods: A retrospective follow-up study with ambulatory surgery and hospital discharge datasets from Florida, 1999-2001, was used. Thirty-day hospitalizations due to colonic perforations and gastrointestinal bleeding were investigated for 323,585 patients. Results: Primary care endoscopists and surgeons used hot biopsy forceps/ablation, while gastroenterologists provided snare polypectomy or complex colonoscopy. Low-volume endoscopists were more likely to use simpler rather than complex procedures. For hot forceps/ablation and snare polypectomy, low- and medium-volume endoscopists reported higher odds of adverse events. For complex colonoscopy, higher odds of adverse events were reported for primary care endoscopists (1.74 [95%CI, 1.18 to 2.56]) relative to gastroenterologists Conclusions: Endoscopists regardless of specialty and experience can safely use cold biopsy forceps. For hot biopsy and snare polypectomy, low volume, but not specialty, contributed to increased odds of adverse events. For complex colonoscopy, primary care specialty, but not low volume, added to the odds of adverse events. Comparable outcomes were reported for surgeons and gastroenterologists. Cross-training and continuing medical education of primary care endoscopists in high-volume endoscopy settings are recommended for complex colonoscopy procedures

Hospital Staffing Decisions: Does Financial Performance Matter?

This study assesses the impact of changes in hospitals' financial conditions on changes in hospitals' staffing decisions. The sample consisted of community hospitals operating between 1995 and 2000. The analysis employed a generalized method of moments (GMM) estimator for its dynamic panel data. Cash flow and patient margin were used to measure financial condition. We estimated the effect of changing financial condition on the number of full-time equivalent personnel (FTEs), registered nurses (RNs), and licensed practical nurses (LPNs) per 1,000 adjusted patient days. Our results suggest that declining financial performance led to cutbacks in LPN FTEs per adjusted patient day, but the effects on total hospital FTEs and RN FTEs were mixed

How well does diagnosis-based risk-adjustment work for comparing ambulatory clinical outcomes?

Risk-adjustment, Ambulatory, Administrative data, Mortality, Diagnosis Cost Groups/Hierarchical Condition Categories (DCG/HCC),