Justin M. Glasgow

Associations Between Reduced Hospital Length of Stay and 30-Day Readmission Rate and Mortality: 14-Year Experience in 129 Veterans Affairs Hospitals

BACKGROUND Reducing length of stay (LOS) has been a priority for hospitals and health care systems. However, there is concern that this reduction may result in increased hospital readmissions. OBJECTIVE To determine trends in hospital LOS and 30-day readmission rates for all medical diagnoses combined and 5 specific common diagnoses in the Veterans Health Administration. DESIGN Observational study from 1997 to 2010. SETTING All 129 acute care Veterans Affairs hospitals in the United States. PATIENTS 4,124,907 medical admissions with subsamples of 2 chronic diagnoses (heart failure and chronic obstructive pulmonary disease) and 3 acute diagnoses (acute myocardial infarction, community-acquired pneumonia, and gastrointestinal hemorrhage). MEASUREMENTS Unadjusted LOS and 30-day readmission rates with multivariable regression analyses to adjust for patient demographic characteristics, comorbid conditions, and admitting hospitals. RESULTS For all medical diagnoses combined, risk-adjusted mean hospital LOS decreased by 1.46 days from 5.44 to 3.98 days, or 2% annually (P < 0.001). Reductions in LOS were also observed for the 5 specific common diagnoses, with greatest reductions for acute myocardial infarction (2.85 days) and community-acquired pneumonia (2.22 days). Over the 14 years, risk-adjusted 30-day readmission rates for all medical diagnoses combined decreased from 16.5% to 13.8% (P < 0.001). Reductions in readmissions were also observed for the 5 specific common diagnoses, with greatest reductions for acute myocardial infarction (22.6% to 19.8%) and chronic obstructive pulmonary disease (17.9% to 14.6%). All-cause mortality 90 days after admission was reduced by 3% annually. Of note, hospitals with mean risk-adjusted LOS that was lower than expected had a higher readmission rate, suggesting a modest tradeoff between hospital LOS and readmission (6% increase for each day lower than expected). LIMITATIONS This study is limited to the Veterans Health Administration system; non-Veterans Affairs admissions were not available. No measure of readmission preventability was used. CONCLUSION Veterans Affairs hospitals demonstrated simultaneous improvements in hospital LOS and readmissions over 14 years, suggesting that as LOS improved, hospital readmission did not increase. This is important because hospital readmission is being used as a quality indicator and may result in payment incentives. Future work should explore these relationships to see whether a tipping point exists for LOS reduction and hospital readmission. PRIMARY FUNDING SOURCE Office of Rural Health and the Health Services Research & Development Service, Veterans Health Administration, U.S. Department of Veterans Affairs.

Guiding inpatient quality improvement: a systematic review of Lean and Six Sigma.

BACKGROUND Two popular quality improvement (QI) approaches in health care are Lean and Six Sigma. Hospitals continue to adopt these QI approaches-or the hybrid Lean Sigma approach-with little knowledge on how well they produce sustainable improvements. A systematic literature review was conducted to determine whether Lean, Six Sigma, or Lean Sigma have been effectively used to create and sustain improvements in the acute care setting. METHODS Databases were searched for articles published in the health care, business, and engineering literatures. Study inclusion criteria required identification of a Six Sigma, Lean, or Lean Sigma project; QI efforts focused on hospitalized patients; descriptions of project improvements; and reported results. Depending on the quality of data reported, articles were classified as summary reports, pre-post observational studies, or time-series reports. RESULTS Database searches identified 539 potential articles. After review of titles, abstracts, and full text, 47 articles met inclusion criteria--10 articles summarized multiple projects, 12 reported Lean projects, 20 reported Six Sigma projects, and 5 reported Lean Sigma projects. Generally, the studies provided limited data, with only 15 articles providing any sort of follow-up data; of the 15, only 3 report a follow-up period greater than two years. CONCLUSION Lean, Six Sigma, and Lean Sigma as QI approaches can aid institutions in tackling a wide variety of problems encountered in acute care. However, the true impact of these approaches is difficult to judge, given that the lack of rigorous evaluation or clearly sustained improvements provides little evidence supporting broad adoption. There is still a need for future work that will improve the evidence base for understanding more about QI approaches and how to achieve sustainable improvement.

Leaving Against Medical Advice (AMA): Risk of 30-Day Mortality and Hospital Readmission

BackgroundWith 1–2% of patients leaving the hospital against medical advice (AMA), the potential for these patients to suffer adverse health outcomes is of major concern.ObjectiveTo examine 30-day hospital readmission and mortality rates for medical patients who left the hospital AMA and identify independent risk factors associated with these outcomes.DesignA 5-year retrospective cohort of all patients discharged from a Veterans Administration (VA) hospital.SubjectsThe final study sample included 1,930,947 medical admissions to 129 VA hospitals from 2004 to 2008; 32,819 patients (1.70%) were discharged AMA.MeasurementsPrimary outcomes of interest were 30-day mortality and 30-day all-cause hospital readmission.ResultsCompared to discharges home, AMA patients were more likely to be black, have low income, and have co-morbid alcohol abuse (for all, Χ2 df = 1, p < 0.001). AMA patients had a higher 30-day readmission rate (17.7% vs. 11.0%, p < 0.001) and higher 30-day mortality rate (0.75% vs. 0.61%, p = 0.001). In Cox proportional hazard modeling controlling for demographics and co-morbidity, the largest hazard for patients having a 30-day readmission is leaving AMA (HR = 1.35, 95% CI 1.32–1.39). Similar modeling for 30-day mortality reveals a nearly significant increased hazard rate for patients discharged AMA (HR = 1.10, 95% CI 0.98–1.24).ConclusionsDue to the higher risk of adverse outcomes, hospitals should target AMA patients for post-discharge interventions, such as phone follow-up, home visits, or mental health counseling to improve outcomes.

Life in the Atacama: Searching for life with rovers (science overview)

[1] The Life in the Atacama project investigated the regional distribution of life and habitats in the Atacama Desert of Chile. We sought to create biogeologic maps through survey traverses across the desert using a rover carrying biologic and geologic instruments. Elements of our science approach were to: Perform ecological transects from the relatively wet coastal range to the arid core of the desert; use converging evidence from science instruments to reach conclusions about microbial abundance; and develop and test exploration strategies adapted to the search of scattered surface and shallow subsurface microbial oases. Understanding the ability of science teams to detect and characterize microbial life signatures remotely using a rover became central to the project. Traverses were accomplished using an autonomous rover in a method that is technologically relevant to Mars exploration. We present an overview of the results of the 2003, 2004, and 2005 field investigations. They include: The confirmed identification of microbial habitats in daylight by detecting fluorescence signals from chlorophyll and dye probes; the characterization of geology by imaging and spectral measurement; the mapping of life along transects; the characterization of environmental conditions; the development of mapping techniques including homogeneous biological scoring and predictive models of habitat location; the development of exploration strategies adapted to the search for life with an autonomous rover capable of up to 10 km of daily traverse; and the autonomous detection of life by the rover as it interprets observations on-the-fly and decides which targets to pursue with further analysis.

Cost of readmission: can the Veterans Health Administration (VHA) experience inform national payment policy?

Context:Scrutiny of hospital readmissions has led to the development and implementation of policies targeted at reducing readmission rates. Objective:To assess whether historic hospital readmission rates predict risk-adjusted patient readmission and to measure the costs of readmission, thus informing reimbursement policies under consideration by non-Veterans Health Administration payers. Design, Settings, and Participants:Multivariable hospital-fixed effects regression analyses of patients admitted to 129 Veterans Health Administration hospitals between 2005 and 2009 for 3 common conditions, acute myocardial infarction (AMI), community-acquired pneumonia (CAP), and congestive heart failure (CHF). Main Outcome Measures:We examined whether previous hospital readmission rates predicted risk-adjusted readmission or 30-day episode cost of care for subsequent patients. We then examined the 30-day inpatient hospitalization episode cost differences between those who had a readmission in the episode and those who did not. Results:Hospital readmission rates in the previous quarter are not predictive of individual patient risk-adjusted readmission or of patients’ inpatient hospitalization episode cost in the subsequent quarter. Relative to those who were not readmitted within 30 days of index visit discharge, readmitted patients had 30-day episode costs that were 53.3% (P<0.001), 82.8% (P<0.001), and 79.8% (P<0.001) higher for AMI, CAP, and CHF hospitalization episodes, respectively. Conclusions:Previous hospital readmission rates are poor predictors of readmission for future individual patients, therefore, policies using these measures to guide subsequent reimbursement are problematic for hospitals that are financially constrained. Our findings indicate current diagnosis related group payments would need to be raised by 10.0% for AMI, 11.5% for CAP, and 16.6% for CHF if these are to become 30-day bundled payments.

Pulsatile release of biomolecules from polydimethylsiloxane (PDMS) chips with hydrolytically degradable seals.

We demonstrate, for the first time, a robust novel polydimethylsiloxane (PDMS) chip that can provide controlled pulsatile release of DNA based molecules, proteins and oligonucleotides without external stimuli or triggers. The PDMS chip with arrays of wells was constructed by replica molding. Poly(lactic acid-co-glycolic acid) (PLGA) polymer films of varying composition and thickness were used as seals to the wells. The composition, molecular weight and thickness of the PLGA films were all parameters used to control the degradation rate of the seals and therefore the release profiles. Degradation of the films followed the PLGA composition order of 50:50 PLGA>75:25 PLGA>85:15 PLGA at all time-points beyond week 1. Scanning electron microscopy images showed that films were initially smooth, became porous and ruptured as the osmotic pressure pushed the degrading PLGA film outwards. Pulsatile release of DNA was controlled by the composition and thickness of the PLGA used to seal the well. Transfection experiments in a model Human Embryonic Kidney 293 (HEK293) cell line showed that plasmid DNA loaded in the wells was functional after pulsatile release in comparison to control plasmid DNA at all time-points. Thicker films degraded faster than thinner films and could be used to fine-tune the release of DNA over day length periods. Finally the PDMS chip was shown to provide repeated sequential release of CpG oligonucleotides and a model antigen, Ovalbumin (OVA), indicating significant potential for this device for vaccinations or applications that require defined complex release patterns of a variety of chemicals, drugs and biomolecules.

Identifying Medication Misadventures: Poor Agreement Among Medical Record, Physician, Nurse, and Patient Reports

Study Objective. To analyze and compare four different methods of detecting medication misadventures in order to determine the optimal system for reporting clinically observed medication misadventures.

Findings from a national improvement collaborative: are improvements sustained?

Background Despite considerable efforts to improve healthcare quality and patient safety, broad measures of patient outcomes show little improvement. Many factors, including limited programme evaluations and understanding of whether quality improvement (QI) efforts are sustained, potentially contribute to the lack of widespread improvements in quality. This study examines whether hospitals participating in a Veterans Health Affairs QI collaborative have made and then sustained improvements. Methods Separate patient-level risk-adjusted time-series models for two primary outcomes (hospital length of stay (LOS) and rate of discharges before noon) as well as three secondary outcomes (30-day all-cause hospital readmission, in-hospital mortality and 30-day mortality). The models considered 2 years of pre-intervention data, 1 year of data to measure improvements and then 2 years of post-intervention data to see whether improvements were sustained. Results Among 130 Veterans Affairs hospitals, 35% and 46% exhibited improvements beyond baseline trends on LOS and discharges before noon, respectively. 60% of improving LOS hospitals exhibited sustained improvements, but only 32% for discharges by noon. Additional subgroup analyses by hospital size and region found a similar performance across most groups. Conclusions This quasi-experimental evaluation found lower rates of improvements than normally reported in studies of QI collaboratives. The most striking observation was that a majority of hospitals increased their rates of discharges before noon, but after completing the collaborative their performance declined. Future work needs to qualitatively and quantitatively assess what organisational features distinguish those hospitals that can improve and sustain quality.

Nurse practitioner and physician assistant scope of practice in 118 acute care hospitals

BACKGROUND Advanced practice providers (APPs), including nurse practitioners (NPs) and physician assistants (PAs) are cost-effective substitutes for physicians, with similar outcomes in primary care and surgery. However, little is understood about APP roles in inpatient medicine. OBJECTIVE Describe APPs role in inpatient medicine. DESIGN Observational cross-sectional cohort study. SETTING One hundred twenty-four Veterans Health Administration (VHA) hospitals. PARTICIPANTS Chiefs of medicine (COMs) and nurse managers. MEASUREMENTS Surveys included inpatient medicine scope of practice for APPs and perceived healthcare quality. We conducted bivariate unadjusted and multivariable adjusted analyses. RESULTS One hundred eighteen COMs (95.2%) and 198 nurse managers (75.0%) completed surveys. Of 118 medicine services, 56 (47.5%) employed APPs; 27 (48.2%) used NPs only, 15 (26.8%) PAs only, and 14 (25.0%) used both. Full-time equivalents for NPs was 0.5 to 7 (mean = 2.22) and PAs was 1 to 9 (mean = 2.23). Daily caseload was similar at 4 to 10 patients (mean = 6.5 patients). There were few significant differences between tasks. The presence of APPs was not associated with patient or nurse manager satisfaction. Presence of NPs was associated with greater overall inpatient and discharge coordination ratings by COMs and nurse managers, respectively; the presence of PAs was associated with lower overall inpatient coordination ratings by nurse managers. CONCLUSIONS NPs and PAs work on half of VHA inpatient medicine services with broad, yet similar, scopes of practice. There were few differences between their roles and perceptions of care. Given their very different background, regulation, and reimbursement, this has implications for inpatient medicine services that plan to hire NPs or PAs.

Impacts of organizational context on quality improvement.

Variation in how hospitals perform on similar quality improvement (QI) efforts argues for a need to understand how different organizational characteristics affect QI performance. The objective of this study was to use data-mining methods to evaluate relationships between measures of organizational characteristics and hospital QI performance. Organizational characteristics were extracted from 2 surveys and analyzed in 3 separate decision-tree models. The decision trees did not find any predictive associations in this sample of 100 hospitals participating in a national QI collaborative. Further model review identified that measures of QI Experience were associated with an ability to make improvements, whereas measures of Staffing and Culture were associated with an ability to sustain improvements. A key area for future research is to understand the challenges faced as QI teams transition from improving care to sustaining quality and to ascertain what organizational characteristics can best overcome those challenges.