Does interhospital transfer improve outcome of acute myocardial infarction? A propensity score analysis from the Cardiovascular Cooperative Project

<p>Abstract</p> <p>Background</p> <p>Many patients suffering acute myocardial infarction (AMI) are transferred from one hospital to another during their hospitalization. There is little information about the outcomes related to interhospital transfer. The purpose of this study was to compare processes and outcomes of AMI care among patients undergoing interhospital transfer with special attention to the impact on mortality in rural hospitals.</p> <p>Methods</p> <p>National sample of Medicare patients in the Cooperative Cardiovascular Study (n = 184,295). Retrospective structured medical record review of AMI hospitalizations. Descriptive study using a retrospective propensity score analysis of clinical and administrative data for 184,295 Medicare patients admitted with clinically confirmed AMI to 4,765 hospitals between February 1994 and July 1995. Main outcome measure included: 30-day mortality, administration of aspirin, beta-blockers, ACE-inhibitors, and thrombolytic therapy.</p> <p>Results</p> <p>Overall, 51,530 (28%) patients underwent interhospital transfer. Transferred patients were significantly younger, less critically ill, and had lower comorbidity than non-transferred patients. After propensity-matching, patients who underwent interhospital transfer had better quality of care anlower mortality than non-transferred patients. Patients cared for in a rural hospital had similar mortality as patients cared for in an urban hospital.</p> <p>Conclusion</p> <p>Transferred patients were vastly different than non-transferred patients. However, even after a rigorous propensity-score analysis, transferred patients had lower mortality than non-transferred patients. Mortality was similar in rural and urban hospitals. Identifying patients who derive the greatest benefit from transfer may help physicians faced with the complex decision of whether to transfer a patient suffering an acute MI.</p

Unplanned readmission rates, length of hospital stay, mortality, and medical costs of ten common medical conditions: a retrospective analysis of Hong Kong hospital data

<p>Abstract</p> <p>Background</p> <p>Studies on readmissions attributed to particular medical conditions, especially heart failure, have generally not addressed the factors associated with readmissions and the implications for health outcomes and costs. This study aimed to investigate the factors associated with 30-day unplanned readmission for 10 common conditions and to determine the cost implications.</p> <p>Methods</p> <p>This population-based retrospective cohort study included patients admitted to all public hospitals in Hong Kong in 2007. The sample consisted of 337,694 hospitalizations in Internal Medicine. The disease-specific risk-adjusted odd ratio (OR), length of stay (LOS), mortality and attributable medical costs for the year were examined for unplanned readmissions for 10 medical conditions, namely malignant neoplasms, heart diseases, cerebrovascular diseases, pneumonia, injury and poisoning, nephritis and nephrosis, diabetes mellitus, chronic liver disease and cirrhosis, septicaemia, and aortic aneurysm.</p> <p>Results</p> <p>The overall unplanned readmission rate was 16.7%. Chronic liver disease and cirrhosis had the highest OR (1.62, 95% confidence interval (CI) 1.39-1.87). Patients with cerebrovascular disease had the longest LOS, with mean acute and rehabilitation stays of 6.9 and 3.0 days, respectively. Malignant neoplasms had the highest mortality rate (30.8%) followed by aortic aneurysm and pneumonia. The attributed medical cost of readmission was highest for heart disease (US$3 199 418, 95$2 579 443-803 393).</p> <p>Conclusions</p> <p>Our findings showed variations in readmission rates and mortality for different medical conditions which may suggest differences in the quality of care provided for various medical conditions. In-hospital care, comprehensive discharge planning, and post-discharge community support for patients need to be reviewed to improve the quality of care and patient health outcomes.</p

Comparing Plasma Phospho Tau, Total Tau, and Phospho Tau-Total Tau Ratio as Acute and Chronic Traumatic Brain Injury Biomarkers.

Importance: Annually in the United States, at least 3.5 million people seek medical attention for traumatic brain injury (TBI). The development of therapies for TBI is limited by the absence of diagnostic and prognostic biomarkers. Microtubule-associated protein tau is an axonal phosphoprotein. To date, the presence of the hypophosphorylated tau protein (P-tau) in plasma from patients with acute TBI and chronic TBI has not been investigated. Objective: To examine the associations between plasma P-tau and total-tau (T-tau) levels and injury presence, severity, type of pathoanatomic lesion (neuroimaging), and patient outcomes in acute and chronic TBI. Design, Setting, and Participants: In the TRACK-TBI Pilot study, plasma was collected at a single time point from 196 patients with acute TBI admitted to 3 level I trauma centers (4) (AUC = 0.771 and 0.777, respectively). Plasma samples from patients with chronic TBI also showed elevated P-tau levels and a P-tau-T-tau ratio significantly higher than that of healthy controls, with both P-tau indices strongly discriminating patients with chronic TBI from healthy controls (AUC = 1.000 and 0.963, respectively). Conclusions and Relevance: Plasma P-tau levels and P-tau-T-tau ratio outperformed T-tau level as diagnostic and prognostic biomarkers for acute TBI. Compared with T-tau levels alone, P-tau levels and P-tau-T-tau ratios show more robust and sustained elevations among patients with chronic TBI.This study was supported in part by the Office of the Assistant Secretary of Defense for Health Affairs through the Department of Defense (DOD) Broad Agency Announcement under award numbers W81XWH-11-2-0069 (Dr Rubenstein) and W81XWH-14-2-0166 (Dr Rubenstein). It was also supported in part by National Institutes of Health (NIH) grant RC2 NS069409 (Dr Manley), NIH grant 1U01 NS086090-01 (Dr Manley), US DOD grant W81XWH-14-2-0176 (Dr Manley), US DOD grant W81XWH-13-1-04 (Dr Manley), NIH grant R21NS085455-01 (Dr Wang), and University of Florida McKnight Brain Institute BSCIRTF fund (Dr Wang)

Impacts of Evidence-Based Quality Improvement on Depression in Primary Care: A Randomized Experiment

CONTEXT: Previous studies testing continuous quality improvement (CQI) for depression showed no effects. Methods for practices to self-improve depression care performance are needed. We assessed the impacts of evidence-based quality improvement (EBQI), a modification of CQI, as carried out by 2 different health care systems, and collected qualitative data on the design and implementation process. OBJECTIVE: Evaluate impacts of EBQI on practice-wide depression care and outcomes. DESIGN: Practice-level randomized experiment comparing EBQI with usual care. SETTING: Six Kaiser Permanente of Northern California and 3 Veterans Administration primary care practices randomly assigned to EBQI teams (6 practices) or usual care (3 practices). Practices included 245 primary care clinicians and 250,000 patients. INTERVENTION: Researchers assisted system senior leaders to identify priorities for EBQI teams; initiated the manual-based EBQI process; and provided references and tools. EVALUATION PARTICIPANTS: Five hundred and sixty-seven representative patients with major depression. MAIN OUTCOME MEASURES: Appropriate treatment, depression, functional status, and satisfaction. RESULTS: Depressed patients in EBQI practices showed a trend toward more appropriate treatment compared with those in usual care (46.0% vs 39.9% at 6 months, P = .07), but no significant improvement in 12-month depression symptom outcomes (27.0% vs 36.1% poor depression outcome, P = .18). Social functioning improved significantly (mean score 65.0 vs 56.8 at 12 months, P = .02); physical functioning did not. CONCLUSION: Evidence-based quality improvement had perceptible, but modest, effects on practice performance for patients with depression. The modest improvements, along with qualitative data, identify potential future directions for improving CQI research and practice