Cost-effectiveness of an Emergency Department-Based Intensive Care Unit.

Importance: Value in health care is quality per unit cost (V = Q/C), and an emergency department-based intensive care unit (ED-ICU) model has been associated with improved quality. To assess the value of this care delivery model, it is essential to determine the incremental direct cost of care. Objective: To determine the association of an ED-ICU with inflation-adjusted change in mean direct cost of care, net revenue, and direct margin per ED patient encounter. Design, Setting, and Participants: This retrospective economic analysis evaluated the cost of care delivery to patients in the ED before and after deployment of the Joyce and Don Massey Family Foundation Emergency Critical Care Center, an ED-ICU, on February 16, 2015, at a large academic medical center in the US with approximately 75 000 adult ED visits per year. The pre-ED-ICU cohort was defined as all documented ED visits by patients 18 years or older with a complete financial record from September 8, 2012, through June 30, 2014 (660 days); the post-ED-ICU cohort, all visits from July 1, 2015, through April 21, 2017 (660 days). Fiscal year 2015 was excluded from analysis to phase in the new care model. Statistical analysis was performed March 1 through December 30, 2021. Exposures: Implementation of an ED-ICU. Main Outcomes and Measures: Inflation-adjusted direct cost of care, net revenue, and direct margin per patient encounter in the ED. Results: A total of 234 884 ED visits during the study period were analyzed, with 115 052 patients (54.7% women) in the pre-ED-ICU cohort and 119 832 patients (54.5% women) in the post-ED-ICU cohort. The post-ED-ICU cohort was older (mean [SD] age, 49.1 [19.9] vs 47.8 [19.6] years; P < .001), required more intensive respiratory support (2.2% vs 1.1%; P < .001) and more vasopressor use (0.5% vs 0.2%; P < .001), and had a higher overall case mix index (mean [SD], 1.7 [2.0] vs 1.5 [1.7]; P < .001). Implementation of the ED-ICU was associated with similar inflation-adjusted total direct cost per ED encounter (pre-ED-ICU, mean [SD], $4875 [$15 175]; post-ED-ICU, $4877 [$17 400]; P = .98). Inflation-adjusted net revenue per encounter increased by 7.0% (95% CI, 3.4%-10.6%; P < .001), and inflation-adjusted direct margin per encounter increased by 46.6% (95% CI, 32.1%-61.2%; P < .001). Conclusions and Relevance: Implementation of an ED-ICU was associated with no significant change in inflation-adjusted total direct cost per ED encounter. Holding delivery costs constant while improving quality demonstrates improved value via the ED-ICU model of care.

Hospital Participation Decisions In Medicare Bundled Payment Program Were Influenced By Third-Party Conveners.

The Bundled Payments for Care Improvement initiative Advanced Model (BPCI Advanced) is a voluntary Medicare bundled payment model in which hospitals may participate with third-party conveners-private consulting firms that share in the financial risk built into the program. We found that nonteaching and for-profit status was associated with a higher probability of hospital partnership with third-party conveners in BPCI Advanced. Among hospitals participating in at least one inpatient clinical episode, hospitals that partnered with third-party conveners were more likely to select episodes with higher target prices: A $1,000 increase in episode target price was associated with a 1.66-percentage-point increase in the probability of episode participation in BPCI Advanced compared with a 0.72-percentage-point increase for participating hospitals without third-party conveners. Hospitals with third-party conveners also were more likely than those without them to select inpatient clinical episodes with greater opportunities to reduce spending on postacute care and readmissions. These findings have important implications for understanding the role of private consulting firms in the program and for planning potential program modifications in the future.

Low-Value Care and Clinician Engagement in a Large Medicare Shared Savings Program ACO: a Survey of Frontline Clinicians.

BACKGROUND: Although the Medicare Shared Savings Program (MSSP) created new incentives for organizations to improve healthcare value, Accountable Care Organizations (ACOs) have achieved only modest reductions in the use of low-value care. OBJECTIVE: To assess ACO engagement of clinicians and whether engagement was associated with clinicians' reported difficulty implementing recommendations against low-value care. DESIGN: Cross-sectional survey of ACO clinicians in 2018. PARTICIPANTS: 1289 clinicians in the Physician Organization of Michigan ACO, including generalist physicians (18%), internal medicine specialists (16%), surgeons (10%), other physician specialists (27%), and advanced practice providers (29%). Response rate was 34%. MAIN MEASURES: Primary exposures included clinicians' participation in ACO decision-making, awareness of ACO incentives, perceived influence on practice, and perceived quality improvement. Our primary outcome was clinicians' reported difficulty implementing recommendations against low-value care. RESULTS: Few clinicians participated in the decision to join the ACO (3%). Few clinicians were aware of ACO incentives, including knowing the ACO was accountable for both spending and quality (23%), successfully lowered spending (9%), or faced upside risk only (3%). Few agreed (moderately or strongly) the ACO changed compensation (20%), practice (19%), or feedback (15%) or that it improved care coordination (17%) or inappropriate care (13%). Clinicians reported they had difficulty following recommendations against low-value care 18% of the time; clinicians reported patients had difficulty accepting recommendations 36% of the time. Increased ACO awareness (1 standard deviation [SD]) was associated with decreased difficulty (- 2.3 percentage points) implementing recommendations (95% confidence interval [CI] - 3.8, - 0.7), as was perceived quality improvement (1 SD increase, - 2.1 percentage points, 95% CI, - 3.4, - 0.8). Participation in ACO decision-making and perceived influence on practice were not associated with recommendation implementation. CONCLUSIONS: Clinicians participating in a large Medicare ACO were broadly unaware of and unengaged with ACO objectives and activities. Whether low clinician engagement limits ACO efforts to reduce low-value care warrants further longitudinal study.

Metal-insulator transition in a semiconductor nanocrystal network.

Many envisioned applications of semiconductor nanocrystals (NCs), such as thermoelectric generators and transparent conductors, require metallic (nonactivated) charge transport across an NC network. Although encouraging signs of metallic or near-metallic transport have been reported, a thorough demonstration of nonzero conductivity, σ, in the 0 K limit has been elusive. Here, we examine the temperature dependence of σ of ZnO NC networks. Attaining both higher σ and lower temperature than in previous studies of ZnO NCs (T as low as 50 mK), we observe a clear transition from the variable-range hopping regime to the metallic regime. The critical point of the transition is distinctly marked by an unusual power law close to σ ∝ T 1/5. We analyze the critical conductivity data within a quantum critical scaling framework and estimate the metal-insulator transition (MIT) criterion in terms of the free electron density, n, and interparticle contact radius, ρ.

Availability and variation of publicly reported prescription drug prices.

OBJECTIVES: To examine how often retail prices for prescription drugs are available on state public reporting websites, the variability of these reported prices, and zip code characteristics associated with greater price variation. STUDY DESIGN: Searches of state government-operated websites in Michigan, Missouri, New York, and Pennsylvania for retail prices for Advair Diskus (250/50 fluticasone propionate/salmeterol), Lyrica (pregabalin 50 mg), Nasonex (mometasone 50 mcg nasal spray), Spiriva (tiotropium 18 mcg cp-handihaler), Zetia (ezetimibe 10 mg), atorvastatin 20 mg, and metoprolol 50 mg. METHODS: Data were collected for a 25% random sample of 1330 zip codes. For zip codes with at least 1 pharmacy, we used χ2 tests to compare how often prices were reported. For zip codes with at least 2 reported prices, we used Kruskal-Wallis tests to compare the median difference between the highest and lowest prices and a generalized linear model to identify zip code characteristics associated with greater price variation. RESULTS: Price availability varied significantly (P <.001) across states and drugs, ranging from 52% for metoprolol in Michigan to 1% for atorvastatin in Michigan. Price variation also varied significantly (P <.001) across states and drugs, ranging from a median of $159 for atorvastatin in Pennsylvania to a median of $24 for Nasonex in Missouri. The mean price variation was $52 greater (P <.001) for densely populated zip codes and $60 greater (P <.001) for zip codes with mostly nonwhite residents. CONCLUSIONS: Publicly reported information on state prescription drug price websites is often deficient. When prices are reported, there can be significant variation in the prices of prescriptions, which could translate into substantial savings for consumers who pay out-of-pocket for prescription drugs.

Dynamic detection of electron spin accumulation in ferromagnet-semiconductor devices by ferromagnetic resonance.

A distinguishing feature of spin accumulation in ferromagnet-semiconductor devices is its precession in a magnetic field. This is the basis for detection techniques such as the Hanle effect, but these approaches become ineffective as the spin lifetime in the semiconductor decreases. For this reason, no electrical Hanle measurement has been demonstrated in GaAs at room temperature. We show here that by forcing the magnetization in the ferromagnet to precess at resonance instead of relying only on the Larmor precession of the spin accumulation in the semiconductor, an electrically generated spin accumulation can be detected up to 300 K. The injection bias and temperature dependence of the measured spin signal agree with those obtained using traditional methods. We further show that this approach enables a measurement of short spin lifetimes (<100 ps), a regime that is not accessible in semiconductors using traditional Hanle techniques.

Population Health: A New Paradigm for Medicine.

Healthcare delivery system reform has become a dominant topic of conversation throughout the United States. Driven in part by ever-higher national expenditures on health, an increasing number of payers and provider organizations are working to reduce the costs and improve the quality of healthcare. In this article, we demystify the term "Population Health," review some of the larger payer initiatives currently in effect and discuss specific provider group efforts to improve the quality and cost of healthcare for patients.

Predicting emergency department volume using forecasting methods to create a "surge response" for noncrisis events.

OBJECTIVES: This study investigated whether emergency department (ED) variables could be used in mathematical models to predict a future surge in ED volume based on recent levels of use of physician capacity. The models may be used to guide decisions related to on-call staffing in non-crisis-related surges of patient volume. METHODS: A retrospective analysis was conducted using information spanning July 2009 through June 2010 from a large urban teaching hospital with a Level I trauma center. A comparison of significance was used to assess the impact of multiple patient-specific variables on the state of the ED. Physician capacity was modeled based on historical physician treatment capacity and productivity. Binary logistic regression analysis was used to determine the probability that the available physician capacity would be sufficient to treat all patients forecasted to arrive in the next time period. The prediction horizons used were 15 minutes, 30 minutes, 1 hour, 2 hours, 4 hours, 8 hours, and 12 hours. Five consecutive months of patient data from July 2010 through November 2010, similar to the data used to generate the models, was used to validate the models. Positive predictive values, Type I and Type II errors, and real-time accuracy in predicting noncrisis surge events were used to evaluate the forecast accuracy of the models. RESULTS: The ratio of new patients requiring treatment over total physician capacity (termed the care utilization ratio [CUR]) was deemed a robust predictor of the state of the ED (with a CUR greater than 1 indicating that the physician capacity would not be sufficient to treat all patients forecasted to arrive). Prediction intervals of 30 minutes, 8 hours, and 12 hours performed best of all models analyzed, with deviances of 1.000, 0.951, and 0.864, respectively. A 95% significance was used to validate the models against the July 2010 through November 2010 data set. Positive predictive values ranged from 0.738 to 0.872, true positives ranged from 74% to 94%, and true negatives ranged from 70% to 90% depending on the threshold used to determine the state of the ED with the 30-minute prediction model. CONCLUSIONS: The CUR is a new and robust indicator of an ED system's performance. The study was able to model the tradeoff of longer time to response versus shorter but more accurate predictions, by investigating different prediction intervals. Current practice would have been improved by using the proposed models and would have identified the surge in patient volume earlier on noncrisis days.

Use of an administrative data set to determine optimal scheduling of an alcohol intervention worker.

BACKGROUND: Brief alcohol interventions are efficacious in reducing alcohol-related consequences among emergency department (ED) patients. Use of non-clinical staff may increase alcohol screening and intervention; however, optimal scheduling of an alcohol intervention worker (AIW) is unknown. OBJECTIVES: Determine optimal scheduling of an AIW based on peak discharge time of alcohol-related ED visits. METHODS: Discharge times for consecutive patients with an alcohol-related diagnosis were abstracted from an urban ED's administrative data set from September 2005 through August 2007. Queuing theory was used to identify optimal scheduling. Data for weekends and weekdays were analyzed separately. Stationary independent period-by-period analysis was performed for hourly periods. An M/M/s queuing model, for Markovian inter-arrival time/Markovian service time/and potentially more than one server, was developed for each hour assuming: 1) a single unlimited queue; 2) 75% of patients waited no longer than 30 min for intervention; 3) AIW spent an average 20 min/patient. Estimated average utilization/hour was calculated; if utilization/hour exceeded 25%, AIW staff was considered necessary. RESULTS: There were 2282 patient visits (mean age 38 years, range 11-84 years). Weekdays accounted for 45% of visits; weekends 55%. On weekdays, one AIW from 6:00 a.m.-9:00 a.m. (max utilization 42%/hour) would accommodate 28% of weekday alcohol-related patients. On weekends, 5:00 a.m.-11:00 a.m. (max utilization 50%), one AIW would cover 54% of all weekend alcohol-related visits. During other hours the utilization rate falls below 25%/hour. CONCLUSIONS: Evaluating 2 years of discharge data revealed that 30 h of dedicated AIW time--18 weekend hours (5:00 a.m.-11:00 a.m.), 12 weekday hours (6:00 a.m.-9:00 a.m.)--would allow maximal patient alcohol screening and intervention with minimal additional burden to clinical staff.