Does overcrowding and health insurance type impact patient outcomes in emergency departments?

The Behavioral Health Needs of Youth With Preexisting Psychiatric Disorders in the Aftermath of COVID-19

Children and adolescents with psychiatric disorders are a sizable population of children and youth with special health care needs. While the capabilities of behavioral health resources to meet these youth's needs were already strained, the Coronavirus Disease 2019 (COVID-19) pandemic extended resource limitations just as this subgroup of children and youth with special health care needs faced new stressors and potential exacerbations of their underlying psychiatric illnesses. In this article, we provide a brief narrative review of the factors' manifestations with an emphasis upon their disproportionate impact upon children of color and their families and particularly those from disadvantaged communities. We proceed to provide policy proposals for addressing these disparities. These include raising reimbursement for behavioral health services, increasing telehealth care delivery, reducing inter-state licensing requirements, increasing community-based services, and addressing social determinants of health. Conclusions and directions for strengthening behavioral health service delivery capabilities and addressing systemic injustices are made.

Effect of a split-flow physician in triage model on abdominal CT ordering rate and yield

OBJECTIVE

The objective of this study was to compare the rate and clinical yield of computed tomography (CT) imaging between patients presenting with abdominal pain initially seen by a physician in triage (PIT) versus those seen only by physicians working in the main emergency department (ED).

METHODS

A retrospective study was conducted of all self-arrivals >18 years old presenting to a single ED with abdominal pain. Nine-hundred patients were randomly selected from both the PIT and traditional patient flow groups and rates and yields of CT imaging were compared, both alone and in a model controlling for potential confounders. Predetermined criteria for CT significance included need for admission, consult, or targeted medications.

RESULTS

The overall rate of CT imaging (unadjusted) did not differ between the PIT and traditional groups, 48.7% (95% CI 45.4-51.9) vs. 45.1% (95% CI 41.8-48.4), respectively (p = .13). The CT yield for patients seen in in the PIT group was also similar to that of the traditional group: 49.1% (95% CI 44.4-53.8) vs. 50.5% (95% CI 45.6-55.4) (p = .68). In the logistic regression model, when controlling for age, gender, ESI-acuity, race and insurance payor, PIT vs. traditional was not a predictor of CT ordering (OR 1.14, 95% CI 0.94-1.38).

CONCLUSIONS

For patients with abdominal pain, we found no significant differences in rates of CT ordering or CT yield for patients seen in a PIT vs. traditional models, suggesting the increased efficiencies offered by PIT models do not come at the cost of increased or decreased imaging utilization.

The Effect of Health Insurance Coverage on Orthopaedic Patient-reported Outcome Measures

INTRODUCTION

Patient-reported outcome measures (PROMs) are used to assess performance and value. The type of health insurance coverage may influence outcomes scores. The goal of this study was to determine if the type of insurance coverage is associated with the trends in PROMs within an orthopaedic cohort.

METHODS

We reviewed the electronic medical records of 10,745 adult foot and ankle patients who completed PROMs questionnaires from 2015 to 2017. Patients completed the Foot and Ankle Ability Measure, PROMIS Global-Mental, PROMIS Global-Physical, and PROMIS Physical Function Short Form 10a. Descriptive analyses, analysis of variance, and Tukey HSD (honest significant difference) post hoc analyses were conducted.

RESULTS

Patients with commercial insurance consistently had the highest outcomes scores, whereas those with Workers Comp/Motor Vehicle and Medicaid had the lowest. PROMs of patients with commercial insurance were statistically significantly higher than the pooled scores of all other patients. Markedly poorer scores were also seen for Workers Comp/Motor Vehicle and Medicaid. In addition, these differences in PROMs for Workers Comp/Motor Vehicle and Medicaid exceeded the minimal clinically important differences. Patients with Medicare or Free Care had generally lower scores than the pooled averages, but these results were not statistically significant.

DISCUSSION

PROMs scores vary between the patients with different insurance types in an orthopaedic foot and ankle cohort. These data suggest that patient insurance type may affect patient-reported outcomes.

LEVEL OF EVIDENCE

Level III, Retrospective Cohort.

Emergency Department Wait Time and Treatment of Traumatic Digit Amputation: Do Race and Insurance Matter?

BACKGROUND

Little is known about the association between the quality of trauma care and management of nonfatal injuries. The authors used emergency department wait times as a proxy for hospital structure, process, and availability of on-call surgeons with microsurgical skills. They evaluated the association between average hospital emergency department wait times and likelihood of undergoing digit replantation for patients with traumatic amputation digit injuries. The authors hypothesized that hospitals with shorter emergency department wait times were associated with higher odds of replantation.

METHODS

Using the 2007 to 2012 National Trauma Data Bank, the authors' final sample included 12,126 patients. Regression modeling was used to first determine factors that were associated with longer emergency department wait times among patients with digit amputation injuries. Second, the authors examined the association between emergency department wait times for this population at a hospital level and replantation after all types of digit amputation and after complicated thumb amputation injuries only.

RESULTS

For patients with simple and complicated thumb amputation injuries, and patients with complicated thumb amputation injuries only, longer emergency department wait times were associated with lower odds of replantation. In addition, being minority and having no insurance were associated with longer emergency department wait times; teaching hospitals were associated with shorter emergency department wait times; and finally, for patients with complicated thumb amputation injuries only, there was no association between patients' minority or insurance status and replantation.

CONCLUSION

Variation in emergency department wait time and its effects on treatment of traumatic digit amputation may reflect maldistribution of hand or plastic surgeons with the required microsurgical skills among trauma centers across the United States.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Therapeutic, III.

The Impact of Emergency Department Census on the Decision to Admit

OBJECTIVE

We evaluated the effect of emergency department (ED) census on disposition decisions made by ED physicians.

METHODS

We performed a retrospective analysis using 18 months of all adult patient encounters seen in the main ED at an academic tertiary care center. Patient census information was calculated at the time of physician assignment for each individual patient and included the number of patients in the waiting room (waiting room census) and number of patients being managed by the patient's attending (physician load census). A multiple logistic regression model was created to assess the association between these census variables and the disposition decision, controlling for potential confounders including Emergency Severity Index acuity, patient demographics, arrival hour, arrival mode, and chief complaint.

RESULTS

A total of 49,487 patient visits were included in this analysis, of whom 37% were admitted to the hospital. Both census measures were significantly associated with increased chance of admission; the odds ratio (OR) per patient increase for waiting room census was 1.011 (95% confidence interval [CI] = 1.001 to 1.020), and the OR for physician load census was 1.010 (95% CI = 1.002 to 1.019). To put this in practical terms, this translated to a modeled rise from 35.3% to 40.1% when shifting from an empty waiting room and zero patient load to a 12-patient wait and 16-patient load for a given physician.

CONCLUSION

Waiting room census and physician load census at time of physician assignment were positively associated with the likelihood that a patient would be admitted, controlling for potential confounders. Our data suggest that disposition decisions in the ED are influenced not only by objective measures of a patient's disease state, but also by workflow-related concerns.

Emergency department enlargement in China: exciting or bothering

BACKGROUND

Emergency department (ED) enlargement became a trend with its development. However, there came some problems such as ED overcrowding and increasing medical disputes. Here we did a survey about the development tendency of EDs in 3A grade hospitals in China, analysed the problems we facing and rendered some solutions combining some special characteristics in China.

METHODS

We randomly selected 17 3A grade general hospitals from 12 provinces from the 50 members of Chinese College of Emergency Physician. A questionnaire survey was conducted. The basic information and problems of EDs were collected and analysed.

RESULTS

The gross area, the number of beds and the attention paid by the hospitals of EDs increased during the development, so did the patients admitted to EDs, also more doctors and nurses devoted into emergency medicine. But it had become more difficult for doctors to admit ED patients to inpatient wards. Besides the problem of increasing crowding degree, EDs faced more medical disputes and complains during the development.

CONCLUSIONS

ED expanding was the result of emergency medicine development, but the enlargement of ED should be more rational. We should improve our doctors' medical skills, optimize the health system, pay more attention to preventive medicine and push hard for health-care reform instead of forcing ED enlargement to satisfy the need for ED.

The Robustness and Effectiveness of the Triage System at Times of Overcrowding and the Extra Costs due to Inappropriate Use of Emergency Departments

BACKGROUND

Overcrowding is one of the most harmful problems for Emergency Department (ED) management and the correct estimation of time resource absorption by each type of patient plays a strategic role in dealing with overcrowding and correctly programming ED activity.

OBJECTIVE

We aimed to investigate how overcrowding may affect urgent patients' waiting times (i.e., the robustness of the triage patient priority system) and to evaluate the extra costs due to inappropriate use of EDs.

METHODS

Data referring to 54,254 patients who accessed the ED of a major Italian hospital in 2011 were analyzed to study patient flows and overcrowding. To define an average per-patient cost, according to the severity of his or her health condition, the 2010 profit and loss account of the aforementioned hospital was studied and the time devoted by physicians to each type of patient was estimated by means of a self-reported survey.

RESULTS

Empirical findings confirm a positive correlation between overcrowding and the time a patient has to wait before receiving treatment. This effect is relevant only for non-urgent patients who are responsible for the overcrowding itself. However, urgent patients' waiting times do not increase in the presence of overcrowding, confirming that the triage priority system is robust against the overcrowding situation. The analysis estimates, using 2010 data, that the actual per patient cost incurred by the hospital when treating white-coded patients is, on average, 36.54 euros; a green code costs 93.17, yellow 170.62, and red 227.62. It emerges that 4% of all the personnel costs are attributable to white color-code assistance, 67% to green codes, 23% to yellow codes, and the remaining 6% to red codes.

CONCLUSION

The implementation of effective policies intended to improve both efficiency and quality in providing emergency health services has to deal with the systemic problem of inappropriate use of EDs. Policy-makers should be aware of the fact that there is a considerable portion of ED demand for assistance that is inappropriate and that oversizing EDs with respect to the true, appropriate, urgent patients' demands, could bring about a further and undesirable rise in inappropriate assistance demands and, therefore, an increase in ED costs that are not consistent with their objectives.

Predictors of patient adherence to follow-up recommendations after an ED visit

BACKGROUND

It is unclear whether factors identified during the emergency department (ED) visit predict noncompliance with ED recommendations.

STUDY OBJECTIVE

We sought to determine predictors of adherence to medical recommendations after an ED visit.

METHODS

We conducted a prospective, observational study at a single urban medical center. Eligible ED patients provided baseline demographic data as well as information regarding insurance status, whether they had a primary care physician (PCP), and the impact of cost of care on their ability to follow medical recommendations. Patients were contacted at least 1 week after the ED visit and answered questions regarding adherence to medical recommendations.

RESULTS

Four hundred twenty-two patients agreed to participate in the study. At follow-up, 89.7% of patients reported that they had complied with recommendations made during the ED visit. Patients who were adherent to follow-up recommendations were more likely to have a primary care provider (odds ratio [OR], 2.6; 95% confidence interval [CI], 1.1-6.1), have an annual income of greater than $35000 (OR, 2.9; 95% CI, 1.2-7.2), and report a non-Hispanic ethnicity or race (OR, 2.8; 95% CI, 1.1-7.1). Individuals who reported that cost "sometimes" or "always" impacts their ability to follow their physician's recommendations were significantly less likely to comply with ED recommendations (OR, 2.7; 95% CI, 1.3-5.6).

CONCLUSION

Individuals who reported that cost affects their ability to follow their physician's recommendations and those who did not have a PCP were less likely to follow ED recommendations. Identification of predictors of noncompliance during the ED visit may aid in ensuring compliance with ED recommendations.