Associations of Emergency Department Length of Stay With Publicly Reported Quality-of-care Measures.

OBJECTIVE: The Institute of Medicine identified emergency department (ED) crowding as a critical threat to patient safety. We assess the association between changes in publicly reported ED length of stay (LOS) and changes in quality-of-care measures in a national cohort of hospitals. METHODS: Longitudinal analysis of 2012 and 2013 data from the American Hospital Association (AHA) Survey, Center for Medicare and Medicaid Services (CMS) Cost Reports, and CMS Hospital Compare. We included hospitals reporting Hospital Compare timeliness measure of LOS for admitted patients. We used AHA and CMS data to incorporate hospital predictors of interest. We used the method of first differences to test for relationships in the change over time between timeliness measures and six hospital-level measures. RESULTS: The cohort consisted of 2,619 hospitals. Each additional hour of ED LOS was associated with a 0.7% decrease in proportion of patients giving a top satisfaction rating, a 0.7% decrease in proportion of patients who would definitely recommend the hospital, and a 6-minute increase in time to pain management for long bone fracture (p \u3c 0.01 for all). A 1-hour increase in ED LOS is associated with a 44% increase in the odds of having an increase in left without being seen (95% confidence interval = 25% to 68%). ED LOS was not associated with hospital readmissions (p = 0.14) or time to percutaneous coronary intervention (p = 0.14). CONCLUSION: In this longitudinal study of hospitals across the United States, improvements in ED timeliness measures are associated with improvements in the patient experience

Impact of an Expeditor on Emergency Department Patient Throughput

Objective: Our hypothesis was that an individual whose primary role was to assist with patient throughput would decrease emergency department (ED) length of stay (LOS), elopements and ambulance diversion. The objective of this study was to measure how the use of an expeditor affected these throughput metrics.Methods: This pre- and post-intervention study analyzed ED patients > 21-years-old between June 2008 and June 2009, at a level one trauma center in an academic medical center with an annual ED census of 40,000 patients. We created the expeditor position as our study intervention in December 2008, by modifying the job responsibilities of an existing paramedic position. An expeditor was on duty from 1PM-1AM daily. The pre-intervention period was June to November 2008, and the post-intervention period was January to June 2009. We used multivariable to assess the impact of the expeditor on throughput metrics after adjusting for confounding variables.Results: We included a total of 13,680 visits in the analysis. There was a significant decrease in LOS after expeditor implementation by 0.4 hours, despite an increased average daily census (109 vs. 121, p<0.001). The expeditor had no impact on elopements. The probability that the ED experienced complete ambulance diversion during a 24-hour period decreased from 55.2% to 16.0% (OR:0.17, 95%CI:0.05-0.67).Conclusion: The use of an expeditor was associated with a decreased LOS and ambulance diversion. These findings suggest that EDs may be able to improve patient flow by using expeditors. This tool is under the control of the ED and does not require larger buy-in, resources, or overall hospital changes. [West J Emerg Med. 2011;12(2):198-203.

Conflict of Interest Policies for Organizations Producing a Large Number of Clinical Practice Guidelines

Conflict of interest (COI) of clinical practice guideline (CPG) sponsors and authors is an important potential source of bias in CPG development. The objectives of this study were to describe the COI policies for organizations currently producing a significant number of CPGs, and to determine if these policies meet 2011 Institute of Medicine (IOM) standards.We identified organizations with five or more guidelines listed in the National Guideline Clearinghouse between January 1, 2009 and November 5, 2010. We obtained the COI policy for each organization from publicly accessible sources, most often the organization's website, and compared those polices to IOM standards related to COI. 37 organizations fulfilled our inclusion criteria, of which 17 (46%) had a COI policy directly related to CPGs. These COI policies varied widely with respect to types of COI addressed, from whom disclosures were collected, monetary thresholds for disclosure, approaches to management, and updating requirements. Not one organization's policy adhered to all seven of the IOM standards that were examined, and nine organizations did not meet a single one of the standards.COI policies among organizations producing a large number of CPGs currently do not measure up to IOM standards related to COI disclosure and management. CPG developers need to make significant improvements in these policies and their implementation in order to optimize the quality and credibility of their guidelines

Built Environment and Its Influences on Walking among Older Women: Use of Standardized Geographic Units to Define Urban Forms

Consensus is lacking on specific and policy-relevant measures of neighborhood attributes that may affect health outcomes. To address this limitation, we created small standardized geographic units measuring the transit, commercial, and park area access, intersection, and population density for the Portland, Oregon metropolitan area. Cluster analysis was used to identify six unique urban forms: central city, city periphery, suburb, urban fringe with poor commercial access, urban fringe with pool park access, and satellite city. The urban form information was linkable to the detailed physical activity, health, and socio-demographic data of 2,005 older women without the use of administrative boundaries. Evaluation of the relationship between urban forms and walking behavior indicates that older women residing in city center were more likely to walk than those living in city periphery, suburb communities, and urban fringe with poor commercial access; however, these women were not significantly more likely to walk compared to those residing in urban fringe with poor park access or satellite city. Utility of small standardized geographic units and clusters to measure and define built environment support research investigating the impact of built environment and health. The findings may inform environmental/policy interventions that shape communities and promote active living

AHRQ series on complex intervention systematic reviews-paper 5: advanced analytic methods.

BACKGROUND AND OBJECTIVE: Advanced analytic methods for synthesizing evidence about complex interventions continue to be developed. In this paper, we emphasize that the specific research question posed in the review should be used as a guide for choosing the appropriate analytic method. METHODS: We present advanced analytic approaches that address four common questions that guide reviews of complex interventions: (1) How effective is the intervention? (2) For whom does the intervention work and in what contexts? (3) What happens when the intervention is implemented? and (4) What decisions are possible given the results of the synthesis? CONCLUSION: The analytic approaches presented in this paper are particularly useful when each primary study differs in components, mechanisms of action, context, implementation, timing, and many other domains

Chapter 8: Meta-analysis of Test Performance When There is a “Gold Standard”

Synthesizing information on test performance metrics such as sensitivity, specificity, predictive values and likelihood ratios is often an important part of a systematic review of a medical test. Because many metrics of test performance are of interest, the meta-analysis of medical tests is more complex than the meta-analysis of interventions or associations. Sometimes, a helpful way to summarize medical test studies is to provide a “summary point”, a summary sensitivity and a summary specificity. Other times, when the sensitivity or specificity estimates vary widely or when the test threshold varies, it is more helpful to synthesize data using a “summary line” that describes how the average sensitivity changes with the average specificity. Choosing the most helpful summary is subjective, and in some cases both summaries provide meaningful and complementary information. Because sensitivity and specificity are not independent across studies, the meta-analysis of medical tests is fundamentaly a multivariate problem, and should be addressed with multivariate methods. More complex analyses are needed if studies report results at multiple thresholds for positive tests. At the same time, quantitative analyses are used to explore and explain any observed dissimilarity (heterogeneity) in the results of the examined studies. This can be performed in the context of proper (multivariate) meta-regressions

Statins and Physical Activity in Older Men: The Osteoporotic Fractures in Men Study

IMPORTANCE: Muscle pain, fatigue, and weakness are common adverse effects of statin medications and may decrease physical activity in older men. OBJECTIVE: Determine whether statin use is associated with physical activity, longitudinally and cross-sectionally. DESIGN, SETTING, AND PARTICIPANTS: Men participating in the Osteoporotic Fractures in Men Study, a multicenter prospective cohort study of community-living men age 65+, enrolled between March 2000-April 2002. EXPOSURE: Statin use as determined by an inventory of medications (taken within last 30 days). In cross-sectional analyses, statin use categories were: users and nonusers. In longitudinal analyses, categories were: prevalent users (baseline use and throughout study), new users (initiated use during the study) and nonusers (never used). MAIN OUTCOMES AND MEASURE: Self-reported physical activity at baseline and 2 follow-up visits using the Physical Activity Scale for the Elderly (PASE). At the third visit, an accelerometer measured metabolic equivalents (METs; kcal/kg/hr) and minutes of moderate activity (METs ≥3.0), vigorous activity (METs ≥6.0), and sedentary behavior (METs ≤1.5). RESULTS: At baseline, 989 men (24%) were users and 3,148 (76%) were nonusers. The adjusted difference in baseline PASE between users and nonusers was -5.8 points (95% CI, -10.9 to -0.7). A total of 3,039 men met the inclusion criteria for longitudinal analysis: 727 (24%) prevalent users, 845 (28%) new users, 1,467 (48%) nonusers. PASE declined by an average of 2.5 points/year (2.0-3.0) for nonusers and 2.8 points/year (2.1, 3.5) for prevalent users, a nonstatistical difference (0.3 point, -0.5-1). For new users, annual PASE score declined at a faster rate than nonusers (0.9 point difference; 0.1-1.7). 3,071 men had adequate accelerometry data, 1,542 (50%) were statin users. Statin users expended less METS (0.03 kcal/kg/hr less; 0.02-0.04); engaged in less moderate physical activity (5.4 fewer minutes/day; 1.9-8.8), less vigorous activity (0.6 fewer minutes/day; 0.1-1.1), and more sedentary behavior (7.6 greater minutes/day; 2.6-12.4). CONCLUSION AND RELEVANCE: Statin use was associated with modestly lower physical activity among community-living men, even after accounting for medical history and other potentially confounding factors. The clinical significance of these findings deserves further investigation