Variation in Rates of Hospital Admission from the Emergency Department Among Medicare Patients at the Regional, Hospital, and Physician Levels.

STUDY OBJECTIVE: Rates of admission from the emergency department (ED) vary widely across regions of the country, hospitals within regions, and physicians within hospitals. Our objective was to determine the extent to which variation in admission decisions was described by differences in admission rates at these 3 levels. This understanding will serve to better target interventions to modify rates of admission where appropriate. METHODS: In this cross-sectional observational cohort study, we analyzed Medicare fee-for-service claims for ED visits from 2012 to 2015 in a 20% random sample of beneficiaries. We first estimated the total regional-, hospital-, and physician-level variations in rates of admission and their proportions of the total variation after adjusting for patient and each level's covariates. We then estimated the extent to which each level's characteristics accounted for variation at that respective level. RESULTS: Our study sample included 5,778,218 visits with 45,491 physicians at 3,480 EDs across 306 hospital referral regions. The mean rate of admission was 38.9% and ranged from 21.4% to 53.0% for physicians at the 10th and 90th percentile of the distribution, respectively. The residual (unexplained) variations at the regional, hospital, and physician levels were 13.3% (95% confidence interval [CI], 11.2 to 15.5%), 60.1% (57.1 to 62.9%), and 26.7% (26.4 to 26.9%), respectively. Regional, hospital, and physician characteristics accounted for 9.1% (95% CI, -5.6 to 23.8%), 51.1% (48.8 to 53.5%), and 2.7% (1.3 to 4.1%), respectively, of the explained variation at their respective levels. CONCLUSION: Within-area variation, both across hospitals within a region and across physicians within a hospital, is a more substantial component of observed variation in admission rates from the ED than regional level variation. These findings suggest that variation in admission rates is at least in part related to institutional norms and cultures as well as heterogeneity of physician decisionmaking within hospitals, both of which could be targets of interventions to modify rates of admission.

The Influence of Medicare for All on Reimbursement for Emergency Care Treat-and-Release Visits.

STUDY OBJECTIVE: Single-payer health care is supported by most Americans, but the effect of single payer on any particular sector of the health care market has not been well explored. We examine the effect of 2 potential single-payer designs, Medicare for All and an alternative including Medicare and Medicaid, on total payments and out-of-pocket spending for treat-and-release emergency care (patients discharged after an emergency department [ED] visit). METHODS: We used the 2013 to 2016 Medical Expenditure Panel Survey to determine estimates of payments made for ED visits by insurance type, and the 2015 National Hospital Ambulatory Medical Care Survey to estimate the proportion of ED visits covered by each insurance type. RESULTS: We found that total payments were predicted to increase from $85.5 billion to $89.0 billion (range $81.3 to $99.8 billion) in the Medicare-only scenario and decrease to $79.4 billion (range $71.6 to $87.2 billion) under Medicare/Medicaid, whereas out-of-pocket costs were predicted to decrease from $116 per visit to $45 with Medicare and to $36 with Medicare/Medicaid. CONCLUSION: In this study of ED treat-and-release patients, a transition to a Medicare for All system may increase ED reimbursement and reduce consumer out-of-pocket costs, whereas a system that maintains Medicaid in addition to Medicare could reduce total payments for emergency care.

Reduction of opioid prescribing through the sharing of individual physician opioid prescribing practices.

BACKGROUND: Drug overdoses are the most common cause of accidental death in the United States, with the majority being attributed to opioids. High per capita opioid prescribing is correlated with higher rates of opioid abuse and death. We aimed to determine the impact of sharing individual prescribing data on the rates of opioid prescriptions written for patients discharged from the emergency department (ED). METHODS: This was a pre-post intervention at a single community ED. We compared opioid prescriptions written on patient discharge before and after an intervention consisting of sharing individual and comparison prescribing data. Clinicians at or over one standard deviation above the mean were notified via standard template electronic communication. RESULTS: For each period, we reported the median number of monthly prescriptions written by each clinician, accounting for the total number of patient discharges. The pre-intervention median was 12.5 prescriptions per 100 patient discharges (IQR 10-19) compared to 9 (IQR 6-11) in the post-intervention period (p < 0.001). This represents a 28% reduction in the overall rate of opioid prescriptions written per patient discharged. Using interrupted time series analysis for monthly rates, this was associated with a reduction in opioid prescriptions, showing a decrease of almost 9 prescriptions for every 100 discharges over the 6 months of the study (p = 0.032). CONCLUSION: Our study demonstrates the sharing of individual opioid prescribing data was associated with a reduction in opioid prescribing at a single institution.

Emergency Department Care for Patients with Limited English Proficiency: a Retrospective Cohort Study.

BACKGROUND: Limited English proficiency (LEP) patients may be particularly vulnerable in the high acuity and fast-paced setting of the emergency department (ED). OBJECTIVE: To compare the care processes of LEP patients in the ED. DESIGN: Retrospective cohort study. SETTING: ED in a large tertiary care academic medical center. PATIENTS: Adult LEP and English Proficient (EP) patients during their index presentation to the ED from September 1, 2013, to August 31, 2015. LEP patients were identified as those who selected a preferred language other than English when registering for care. MAIN MEASURES: Rates of diagnostic studies, admission, and return visits for those originally discharged from the ED. KEY RESULTS: We studied 57,435 visits of which 5241 (9.1%) were for patients with LEP. In adjusted analyses, LEP patients were more likely to receive an X-ray/ultrasound (OR 1.11, CI 1.03-1.19) and be admitted to the hospital (OR 1.09, CI 1.01-1.19). There was no difference in 72-h return visits (OR 0.98, CI 0.73-1.33). LEP patients presenting with complaints related to the cardiovascular system were more likely to receive a stress test (OR 1.51, CI 1.22-1.86), and those with gastrointestinal diagnoses were more likely to have an X-ray/ultrasound (OR 1.31, CI 1.02-1.68). In stratified analyses, Spanish speakers were less likely to be admitted (OR 0.8, CI 0.70-0.91), but those preferring "other" languages, which were all languages with < 500 patients, had a statistically significant higher adjusted rate of admission (OR 1.35, CI 1.17-1.57). CONCLUSIONS: ED patients with LEP experienced both increased rates of diagnostic testing and of hospital admission. Research is needed to examine why these differences occurred and if they represent inefficiencies in care.

Emergency Department Involvement in Accountable Care Organizations in Massachusetts: A Survey Study.

STUDY OBJECTIVE: We assess Massachusetts emergency department (ED) involvement and internal ED constructs within accountable care organization contracts. METHODS: An online survey was distributed to 70 Massachusetts ED directors. Questions attempted to assess involvement of EDs in accountable care organizations and the structures in place in EDs-from departmental resources to physician incentives-to help achieve accountable care organization goals of decreasing spending and improving quality. RESULTS: Of responding ED directors, 79% reported alignment between the ED and an accountable care organization. Almost all ED groups (88%) reported bearing no financial risk as a result of the accountable care organization contracts in which their organizations participated. Major obstacles to meeting accountable care organization objectives included care coordination challenges (62%) and lack of familiarity with accountable care organization goals (58%). The most common cost-reduction strategies included ED case management (85%) and information technology (61%). Limitations of this study include that information was self-reported by ED directors, a focus limited to Massachusetts, and a survey response rate of 47%. CONCLUSION: The ED directors perceived that the majority of physicians were not familiar with accountable care organization goals, many challenges remain in coordinating care for patients in the ED, and most EDs have no financial incentives tied to accountable care organizations. EDs in Massachusetts have begun to implement strategies aimed at reducing admissions, utilization, and overall cost, but these strategies are not widespread apart from case management, even in a state with heavy accountable care organization penetration. Our results suggest that Massachusetts EDs still lack clear directives and direct involvement in meeting accountable care organization goals.

Observation Care: Ethical and Legal Considerations for the Emergency Physician.

BACKGROUND: The Medicare observation rules remain controversial despite Centers for Medicare and Medicaid Services revisions and the new 2-midnight rule. The increased financial risks for patients and heightened awareness of the rule have placed emergency physicians (EPs) at the center of the controversy. DISCUSSION: This article reviews the primary ethical and legal (particularly with respect to the Emergency Medical Treatment and Active Labor Act) implications of the existing observation rule for EPs and offers practical solutions for EPs faced with counseling patients on the meaning and ramifications of the observation rule. CONCLUSIONS: We conclude that while we believe it does not violate the intent of the Emergency Medical Treatment and Active Labor Act to respond to patient questions about their admission status, the observation rules challenge the ethical principles of transparency related to the physician-patient relationship and justice as fairness. Guidance for physicians is offered to improve transparency and patient fairness.

Comparison of 1-Day Emergency Department Observation and Inpatient Ward for 1-Day Admissions in Syncope Patients.

BACKGROUND: In an era of increasing health care costs, the need for hospitalization is being scrutinized. In particular, 1-day hospitalizations are thought to be especially costly and unnecessary, and, increasingly, emergency department observation units (EDOUs) are being used as alternatives. OBJECTIVE: Our aim was to determine the differences in outcomes and diagnoses between 1-day inpatient and EDOU stays for syncope. METHODS: We retrospectively reviewed a cohort of patients with syncope who were seen in an urban ED with 1-day admission to an inpatient ward, EDOU, or full hospitalization. Etiology of syncope was classified as benign (vasovagal, dehydration), serious (dysrhythmia, sepsis, stroke/intracranial bleed, hemorrhage, valvular, ischemia, pulmonary embolism), or unknown. Data were analyzed using Fisher's exact test and t-test. RESULTS: One hundred and seventy-two of 351 patients were >1-day admissions, 152 (85%) were admitted for 1 day, and 27 (15%) were admitted to EDOU. The mean (standard deviation [SD]) age when admitted to the hospital was significantly higher at 72 (18.4) years for > 1-day admissions and 68.8 (19.6) years for 1-day admissions vs. 53.0 (18.9) years for EDOU patients (p < 0.01). For fully admitted patients, 36% had benign etiologies of syncope and 38% had serious causes of syncope; in 1-day admitted patients, 48% had benign etiologies and 14% had serious causes. Among EDOU patients, 44% had benign etiologies and none were serious. One-day patients were more likely to have unknown causes of syncope at discharge (36%; 95% confidence interval 0.28 to 0.43) when compared with admitted patients (26%; 95% CI 0.2 to 0.33); similarly, observation patients were more likely to be discharged without a diagnosis (56%; 95% CI 0.37 to 0.74; p ≤ 0.05). CONCLUSIONS: EDOU patients were less likely than patients admitted to the hospital to be discharged with an etiology of their syncope. Future EDOU protocols can benefit from set admission criteria and standardized evaluation protocols to facilitate maximal use of EDOU for syncope.

Guide Patients into Treatment Through Outreach Visits.

By working with the police department and area addiction treatment centers, Beth Israel Deaconess Hospital in Plymouth, MA, (BID-Plymouth) has been able to persuade many more patients who present to the ED with addiction problems to seek needed treatment. The approach involves the creation of an outreach team that visits patients in their homes within a day of discharge from the hospital following an overdose. A behavioral health team embedded in the ED sees all patients who pres- ent to the ED with addiction issues. While the vast majority of these patients reject addiction treatment alternatives at this stage, administrators have found patients to be much more amenable to accepting treatment once patients have returned home. In the first nine months of the program, roughly 80% of patients with addic- tion problems agreed to seek treatment following an outreach visit. A police officer always accompanies clinicians on outreach visits and can help the team work around confidentiality issues. Emergency providers at BID-Plymouth have devised opioid guidelines to ensure prescriptions are used only when appropriate. By sharing information with providers about how their own prescribing practices compare with the prescribing practices of their peers, administrators have produced significant declines in opioid prescribing.

Increased use of the emergency department after health care reform in Massachusetts.

STUDY OBJECTIVE: With implementation of the Patient Protection and Affordable Care Act, 30 million individuals are predicted to gain access to health insurance. The experience in Massachusetts, which implemented a similar reform beginning in 2006, should provide important lessons about the effect of health care reform on emergency department (ED) utilization. Our objective is to understand the extent to which Massachusetts health care reform was associated with changes in ED utilization. METHODS: We compared changes in ED utilization at the population level for individuals from areas of the state that were affected minimally by health care reform with those from areas that were affected the most, as well as for those younger than 65 years and aged 65 years or older. We used a difference-in-differences identification strategy to compare rates of ED visits in the prereform period, during the reform, and in the postreform period. Because we did not have population-level data on insurance status, we estimated area-level insurance rates by using the percentage of actual visits made during each period by individuals with insurance. RESULTS: We studied 13.3 million ED visits during 2004 to 2009. Increasing insurance coverage in Massachusetts was associated with increasing use of the ED; these results were consistent across all specifications, including the younger than 65 years versus aged 65 years or older comparison. Depending on the model used, the implementation of health care reform was estimated to result in an increase in ED visits per year of between 0.2% and 1.2% within reform and 0.2% and 2.2% postreform compared with the prereform period. CONCLUSION: The implementation of health care reform in Massachusetts was associated with a small but consistent increase in the use of the ED across the state. Whether this was due to the elimination of financial barriers to seeking care in the ED, a persistent shortage in access to primary care for those with insurance, or some other cause is not entirely clear and will need to be addressed in future research.

Emergency Department Visits And Hospital Capacity In The US: Trends In The Medicare Population During The COVID-19 Pandemic.

Although emergency department (ED) and hospital overcrowding were reported during the later parts of the COVID-19 pandemic, the true extent and potential causes of this overcrowding remain unclear. Using data on the traditional fee-for-service Medicare population, we examined patterns in ED and hospital use during the period 2019-22. We evaluated trends in ED visits, rates of admission from the ED, and thirty-day mortality, as well as measures suggestive of hospital capacity, including hospital Medicare census, length-of-stay, and discharge destination. We found that ED visits remained below baseline throughout the study period, with the standardized number of visits at the end of the study period being approximately 25 percent lower than baseline. Longer length-of-stay persisted through 2022, whereas hospital census was considerably above baseline until stabilizing just above baseline in 2022. Rates of discharge to postacute facilities initially declined and then leveled off at 2 percent below baseline in 2022. These results suggest that widespread reports of overcrowding were not driven by a resurgence in ED visits. Nonetheless, length-of-stay remains higher, presumably related to increased acuity and reduced available bed capacity in the postacute care system.

Clinician Risk Tolerance and Rates of Admission From the Emergency Department.

Importance: Much remains unknown about the extent of and factors that influence clinician-level variation in rates of admission from the emergency department (ED). In particular, emergency clinician risk tolerance is a potentially important attribute, but it is not well defined in terms of its association with the decision to admit. Objective: To further characterize this variation in rates of admission from the ED and to determine whether clinician risk attitudes are associated with the propensity to admit. Design, Setting, and Participants: In this observational cohort study, data were analyzed from the Massachusetts All Payer Claims Database to identify all ED visits from October 2015 through December 2017 with any form of commercial insurance or Medicaid. ED visits were then linked to treating clinicians and their risk tolerance scores obtained in a separate statewide survey to examine the association between risk tolerance and the decision to admit. Statistical analysis was performed from 2022 to 2023. Main Outcomes and Measures: The ratio between observed and projected admission rates was computed, controlling for hospital, and then plotted against the projected admission rates to find the extent of variation. Pearson correlation coefficients were then used to examine the association between the mean projected rate of admission and the difference between actual and projected rates of admission. The consistency of clinician admission practices across a range of the most common conditions resulting in admission were then assessed to understand whether admission decisions were consistent across different conditions. Finally, an assessment was made as to whether the extent of deviation from the expected admission rates at an individual level was associated with clinician risk tolerance. Results: The study sample included 392 676 ED visits seen by 691 emergency clinicians. Among patients seen for ED visits, 221 077 (56.3%) were female, and 236 783 (60.3%) were 45 years of age or older; 178 890 visits (46.5%) were for patients insured by Medicaid, 96 947 (25.2%) were for those with commercial insurance, 71 171 (18.5%) were Medicare Part B or Medicare Advantage, and the remaining 37 702 (9.8%) were other insurance category. Of the 691 clinicians, 429 (62.6%) were male; mean (SD) age was 46.5 (9.8) years; and 72 (10.4%) were Asian, 13 (1.9%) were Black, 577 (83.5%) were White, and 29 (4.2%) were other race. Admission rates across the clinicians included ranged from 36.3% at the 25th percentile to 48.0% at the 75th percentile (median, 42.1%). Overall, there was substantial variation in admission rates across clinicians; physicians were just as likely to overadmit or underadmit across the range of projected rates of admission (Pearson correlation coefficient, 0.046 [P = .23]). There also was weak consistency in admission rates across the most common clinical conditions, with intraclass correlations ranging from 0.09 (95% CI, 0.02-0.17) for genitourinary/syncope to 0.48 (95% CI, 0.42-0.53) for cardiac/syncope. Greater clinician risk tolerance (as measured by the Risk Tolerance Scale) was associated with a statistically significant tendency to admit less than the projected admission rate (coefficient, -0.09 [P = .04]). The other scales studied revealed no significant associations. Conclusions and Relevance: In this cohort study of ED visits from Massachusetts, there was statistically significant variation between ED clinicians in admission rates and little consistency in admission tendencies across different conditions. Admission tendencies were minimally associated with clinician innate risk tolerance as assessed by this study's measures; further research relying on a broad range of measures of risk tolerance is needed to better understand the role of clinician attitudes toward risk in explaining practice patterns and to identify additional factors that may be associated with variation at the clinician level.

A novel approach to identifying targets for cost reduction in the emergency department.

This article introduces a novel framework that classifies emergency department (ED) visits according to broad categories of severity, identifying those categories of visits that present the most potential for reducing costs associated with the ED. Although cost savings directly attributable to the ED are apt to be an important emphasis of organizations operating under reformed payment systems, our framework suggests that a focus on diverting low-acuity visits away from the ED would result in far less savings compared with strategies aimed at reducing admissions and to a lesser extent improving the efficiency of ED care for intermediate or complex conditions. We conclude that targeting these categories, rather than minor injuries/illnesses, should be the primary focus of cost-reduction strategies from the ED. Given this understanding, we then discuss the implications of these findings on the financing of an emergency care system that needs to account for the required fixed costs of "stand-by capacity" of the ED and explore ways in which the ED can be better integrated into a patient-centered health care system.

Frequent ED users: are most visits for mental health, alcohol, and drug-related complaints?

STUDY OBJECTIVE: To determine whether frequent emergency department (ED) users are more likely to make at least one and a majority of visits for mental health, alcohol, or drug-related complaints compared to non-frequent users. METHODS: We performed a retrospective cohort study exploring frequent ED use and ED diagnosis at a single, academic hospital and included all ED patients between January 1 and December 31, 2010. We compared differences in ED visits with a primary International Classification of Diseases, 9th Revision visit diagnosis of mental health, alcohol or drug-related diagnoses between non-frequent users (<4 visits during previous 12-months) and frequent (repeat [4-7 visits], highly frequent [8-18 visits] and super frequent [≥19 visits]) users in univariate and multivariable analyses. RESULTS: Frequent users (2496/65201 [3.8%] patients) were more likely to make at least one visit associated with mental health, alcohol, or drug-related diagnoses. The proportion of patients with a majority of visits related to any of the three diagnoses increased from 5.8% among non-frequent users (3616/62705) to 9.4% among repeat users (181/1926), 13.1% among highly frequent users (62/473), and 25.8% (25/97 patients) in super frequent users. An increasing proportion of visits with alcohol-related diagnoses was observed among repeat, highly frequent, and super frequent users but was not found for mental health or drug-related complaints. CONCLUSION: Frequent ED users were more likely to make a mental health, alcohol or drug-related visit, but a majority of visits were only noted for those with alcohol-related diagnoses. To address frequent ED use, interventions focusing on managing patients with frequent alcohol-related visits may be necessary.

Association of Functional Status, Cognition, Social Support, and Geriatric Syndrome With Admission From the Emergency Department.

Importance: The role of patient-level factors that are unrelated to the specific clinical condition leading to an emergency department (ED) visit, such as functional status, cognitive status, social supports, and geriatric syndromes, in admission decisions is not well understood, partly because these data are not available in administrative databases. Objective: To determine the extent to which patient-level factors are associated with rates of hospital admission from the ED. Design, Setting, and Participants: This cohort study analyzed survey data collected from participants (or their proxies, such as family members) enrolled in the Health and Retirement Study (HRS) from January 1, 2000, to December 31, 2018. These HRS data were linked to Medicare fee-for-service claims data from January 1, 1999, to December 31, 2018. Information on functional status, cognitive status, social supports, and geriatric syndromes was obtained from the HRS data, whereas ED visits, subsequent hospital admission or ED discharge, and other claims-derived comorbidities and sociodemographic characteristics were obtained from Medicare data. Data were analyzed from September 2021 to April 2023. Main Outcomes and Measures: The primary outcome measure was hospital admission after an ED visit. A baseline logistic regression model was estimated, with a binary indicator of admission as the dependent variable of interest. For each primary variable of interest derived from the HRS data, the model was reestimated, including the HRS variable of interest as an independent variable. For each of these models, the odds ratio (OR) and average marginal effect (AME) of changing the value of the variable of interest were calculated. Results: A total of 42 392 ED visits by 11 783 unique patients were included. At the time of the ED visit, patients had a mean (SD) age of 77.4 (9.6) years, and visits were predominantly for female (25 719 visits [60.7%]) and White (32 148 visits [75.8%]) individuals. The overall percentage of patients admitted was 42.5%. After controlling for ED diagnosis and demographic characteristics, functional status, cognition status, and social supports all were associated with the likelihood of admission. For instance, difficulty performing 5 activities of daily living was associated with an 8.5-percentage point (OR, 1.47; 95% CI, 1.29-1.66) AME increase in the likelihood of admission. Having dementia was associated with an AME increase in the likelihood of admission of 4.6 percentage points (OR, 1.23; 95% CI, 1.14-1.33). Living with a spouse was associated with an AME decrease in the likelihood of admission of 3.9 percentage points (OR, 0.84; 95% CI, 0.79-0.89), and having children living within 10 miles was associated with an AME decrease in the likelihood of admission of 5.0 percentage points (OR, 0.80; 95% CI, 0.71-0.89). Other common geriatric syndromes, including trouble falling asleep, waking early, trouble with vision, glaucoma or cataract, use of hearing aids or trouble with hearing, falls in past 2 years, incontinence, depression, and polypharmacy, were not meaningfully associated with the likelihood of admission. Conclusion and Relevance: Results of this cohort study suggest that the key patient-level characteristics, including social supports, cognitive status, and functional status, were associated with the decision to admit older patients to the hospital from the ED. These factors are critical to consider when devising strategies to reduce low-value admissions among older adult patients from the ED.

The consequences of emotionally evocative patient behaviors on emergency nurses' patient assessments and handoffs: An experimental study using simulated patient cases.

BACKGROUND: Engaging with human emotions is an integral but poorly understood part of the work of emergency healthcare providers. Patient factors (e.g., irritable behavior; mental illness) can evoke strong emotions, and evidence suggests that these emotions can impact care quality and patient safety. Given that nurses play a critical role in providing high quality care, efforts to identify and remedy factors that may compromise care are needed. Yet to date, few experiments have been conducted. OBJECTIVE: To examine the effects of emotionally evocative patient behavior as well as the presence of mental illness on emergency nurses' emotions, patient assessments, testing advocacy, and written handoffs. DESIGN: Experimental vignette research. SETTING: Online experiment distributed via email between October and December 2020. PARTICIPANTS: Convenience sample of 130 emergency nurses from seven hospitals in the Northeastern United States and one hospital in the mid-Atlantic region in the United States. METHODS: Nurses completed four multimedia computer-simulated patient encounters in which patient behavior (irritable vs. calm) and mental illness (present vs. absent) were experimentally varied. Nurses reported their emotions and clinical assessments, recommended diagnostic tests, and provided written handoffs. Tests were coded for whether the test would result in a correct diagnosis, and handoffs were coded for negative and positive patient descriptions and the presence of specific clinical information. RESULTS: Nurses experienced more negative emotions (anger, unease) and reported less engagement when assessing patients exhibiting irritable (vs. calm) behavior. Nurses also judged patients with irritable (vs. calm) behavior as more likely to exaggerate their pain and as poorer historians, and as less likely to cooperate, return to work, and recover. Nurses' handoffs were more likely to communicate negative descriptions of patients with irritable (vs. calm) behavior and omit specific clinical information (e.g., whether tests were ordered, personal information). The presence of mental illness increased unease and sadness and resulted in nurses being less likely to recommend a necessary test for a correct diagnosis. CONCLUSIONS: Emergency nurses' assessments and handoffs were impacted by patient factors, particularly irritable patient behavior. As nurses are central to the clinical team and experience regular, close contact with patients, the effects of irritable patient behavior on nursing assessments and care practices have important implications. We discuss potential approaches to address these ill effects, including reflexive practice, teamwork, and standardization of handoffs. TWEETABLE ABSTRACT: Simulated experimental study found that despite having received identical clinical information, emergency nurses believed that patients displaying irritable behaviours were less likely to return to work soon and were less likely to recover than patients who displayed calm behaviour.

Disclosure, apology, and offer programs: stakeholders' views of barriers to and strategies for broad implementation.

CONTEXT: The Disclosure, Apology, and Offer (DA&O) model, a response to patient injuries caused by medical care, is an innovative approach receiving national attention for its early success as an alternative to the existing inherently adversarial, inefficient, and inequitable medical liability system. Examples of DA&O programs, however, are few. METHODS: Through key informant interviews, we investigated the potential for more widespread implementation of this model by provider organizations and liability insurers, defining barriers to implementation and strategies for overcoming them. Our study focused on Massachusetts, but we also explored themes that are broadly generalizable to other states. FINDINGS: We found strong support for the DA&O model among key stakeholders, who cited its benefits for both the liability system and patient safety. The respondents did not perceive any insurmountable barriers to broad implementation, and they identified strategies that could be pursued relatively quickly. Such solutions would permit a range of organizations to implement the model without legislative hurdles. CONCLUSIONS: Although more data are needed about the outcomes of DA&O programs, the model holds considerable promise for transforming the current approach to medical liability and patient safety.

Weak correlations in health services research: Weak relationships or common error?

OBJECTIVE: To examine whether the correlation between a provider's effect on one population of patients and the same provider's effect on another population is underestimated if the effects for each population are estimated separately as opposed to being jointly modeled as random effects, and to characterize how the impact of the estimation procedure varies with sample size. DATA SOURCES: Medicare claims and enrollment data on emergency department (ED) visits, including patient characteristics, the patient's hospitalization status, and identification of the doctor responsible for the decision to hospitalize the patient. STUDY DESIGN: We used a three-pronged investigation consisting of analytical derivation, simulation experiments, and analysis of administrative data to demonstrate the fallibility of stratified estimation. Under each investigation method, results are compared between the joint modeling approach to those based on stratified analyses. DATA COLLECTION/EXTRACTION METHODS: We used data on ED visits from administrative claims from traditional (fee-for-service) Medicare from January 2012 through September 2015. PRINCIPAL FINDINGS: The simulation analysis demonstrates that the joint modeling approach is generally close to unbiased, whereas the stratified approach can be severely biased in small samples, a consequence of joint modeling benefitting from bivariate shrinkage and the stratified approach being compromised by measurement error. In the administrative data analyses, the estimated correlation of doctor admission tendencies between female and male patients was estimated to be 0.98 under the joint model but only 0.38 using stratified estimation. The analogous correlations for White and non-White patients are 0.99 and 0.28 and for Medicaid dual-eligible and non-dual-eligible patients are 0.99 and 0.31, respectively. These results are consistent with the analytical derivations. CONCLUSIONS: Joint modeling targets the parameter of primary interest. In the case of population correlations, it yields estimates that are substantially less biased and higher in magnitude than naive estimators that post-process the estimates obtained from stratified models.

US emergency care patterns among nurse practitioners and physician assistants compared with physicians: a cross-sectional analysis.

OBJECTIVES: Nurse practitioners and physician assistants (NPs/PAs) increasingly practice in emergency departments (EDs), yet limited research has compared their practice patterns with those of physicians. DESIGN, SETTING AND PARTICIPANTS: Using nationally representative data from the National Hospital Ambulatory Medical Care Survey (NHAMCS), we analysed ED visits among NPs/PAs and physicians between 1 January 2009 and 31 December 2017. To compare NP/PA and physician utilisation, we estimated propensity score-weighted multivariable regressions adjusted for clinical/sociodemographic variables, including triage acuity score (1=sickest/5=healthiest). Because NPs/PAs may preferentially consult physicians for more complex patients, we performed sensitivity analyses restricting to EDs with >95% of visits including the NP/PA-physician combination. EXPOSURES: NPs/PAs. MAIN OUTCOME MEASURES: Use of hospitalisations, diagnostic tests, medications, procedures and six low-value services, for example, CT/MRI for uncomplicated headache, based on Choosing Wisely and other practice guidelines. RESULTS: Before propensity weighting, we studied visits to 12 410 NPs/PAs-alone, 21 560 to the NP/PA-physician combination and 143 687 to physicians-alone who saw patients with increasing age (41, 45 and 47 years, p<0.001) and worsening triage acuity scores (3.03, 2.85 and 2.67, p<0.001), respectively. After weighting, NPs/PAs-alone used fewer medications (2.62 vs 2.80, p=0.002), diagnostic tests (3.77 vs 4.66, p<0.001), procedures (0.67 vs 0.77, p<0.001), hospitalisations (OR 0.35 (95% CI 0.26 to 0.46)) and low-value CT/MRI studies (OR 0.65 (95% CI 0.53 to 0.80)) than physicians. Contrastingly, the NP/PA-physician combination used more medications (3.08 vs 2.80, p<0.001), diagnostic tests (5.07 vs 4.66, p<0.001), procedures (0.86 vs 0.77, p<0.001), hospitalisations OR 1.33 (95% CI 1.17 to 1.51) and low-value CT/MRI studies (OR 1.23 (95% CI 1.07 to 1.43)) than physicians-results were similar among EDs with >95% of NP/PA visits including the NP/PA-physician combination. CONCLUSIONS AND RELEVANCE: While U.S. NPs/PAs-alone used less care and low-value advanced diagnostic imaging, the NP/PA-physician combination used more care and low-value advanced diagnostic imaging than physicians alone. Findings were reproduced among EDs where nearly all NP/PA visits were collaborative with physicians, suggesting that NPs/PAs seeing more complex patients used more services than physicians alone, but the converse might be true for more straightforward patients.