Maria C. Raven

Frequent Users of Emergency Department Services: Gaps in Knowledge and a Proposed Research Agenda

Frequent use of emergency department (ED) services is often perceived to be a potentially preventable misuse of resources. The underlying assumption is that similar and more appropriate care can be delivered outside of EDs at a lower cost. To reduce costs and incentivize more appropriate use of services, there have been efforts to design interventions to transition health care utilization of frequent users from EDs to other settings such as outpatient clinics. Many of these efforts have succeeded in smaller trials, but wider use remains elusive for varying reasons. There are also some fundamental problems with the assumption that all or even the majority of frequent ED use is misuse and invoking reasons for that excessive use. These tenuous assumptions become evident when frequent users as a group are compared to less frequent users. Specifically, frequent users tend to have high levels of frequent ED use, have a higher severity of illness, be older, have fewer personal resources, be chronically ill, present for pain-related complaints, and have government insurance (Medicare or Medicaid). Because of the unique characteristics of the population of frequent users, we propose a research agenda that aims to increase the understanding of frequent ED use, by: 1) creating an accepted categorization system for frequent users, 2) predicting which patients are at risk for becoming or remaining frequent users, 3) implementing both ED- and non-ED-based interventions, and 4) conducting qualitative studies of frequent ED users to explore reasons and identify factors that are subject to intervention and explore specific differences among populations by condition, such as mental illness and heart failure.

What drives frequent emergency department use in an integrated health system? National data from the Veterans Health Administration.

STUDY OBJECTIVE There is widespread concern about patients with frequent emergency department (ED) use. We identify sociodemographic and clinical factors most strongly associated with frequent ED use within the Veterans Health Administration (VHA) nationally. METHODS We conducted a cross-sectional analysis of national VHA databases (N=5,531,379) in 2010. The primary outcome measure was the number of VHA ED visits categorized into 6 frequency levels. RESULTS In 2010, 4,600,667 (83.2%) VHA patients had no ED visit, whereas 493,391 (8.9%) had 1 visit, 356,258 (6.4%) had 2 to 4 visits, 70,741 (1.3%) had 5 to 10 visits, 9,705 (0.2%) had 11 to 25 visits, and 617 (0.01%) had greater than 25 visits. Increasing ED use frequency was associated with homelessness, medical diagnoses, substance abuse and psychiatric diagnoses, receipt of psychotropic and opioid prescriptions, and more frequent use of outpatient medical and mental health services. In multivariable analyses, factors most strongly associated with all levels of ED use were schizophrenia (odds ratio [OR] range 1.44 [95% confidence interval {CI} 1.41 to 1.47] to 6.86 [95% CI 5.55 to 8.48] across categories of increasing ED use), homelessness (OR range 1.41 [95% CI 1.38 to 1.43] to 6.60 [95% CI 5.36 to 8.12]), opioid prescriptions filled (OR range 2.09 [95% CI 2.07 to 2.10] to 5.08 [95% CI 4.16 to 6.19]), and heart failure (OR range 1.64 [95% CI 1.63 to 1.66] to 3.53 [95% CI 2.64 to 4.72]). CONCLUSION Frequent ED use occurs even in a coordinated health care system that provides ready access to outpatient care. Frequent ED users are characterized by traits that represent high levels of psychosocial and medical needs. The correlates we identified for frequent ED use were consistent across multiple distinct levels of ED use.

An intervention to improve care and reduce costs for high-risk patients with frequent hospital admissions: a pilot study

BackgroundA small percentage of high-risk patients accounts for a large proportion of Medicaid spending in the United States, which has become an urgent policy issue. Our objective was to pilot a novel patient-centered intervention for high-risk patients with frequent hospital admissions to determine its potential to improve care and reduce costs.MethodsCommunity and hospital-based care management and coordination intervention with pre-post analysis of health care utilization. We enrolled Medicaid fee-for-service patients aged 18-64 who were admitted to an urban public hospital and identified as being at high risk for hospital readmission by a validated predictive algorithm. Enrolled patients were evaluated using qualitative and quantitative interview techniques to identify needs such as transportation to/advocacy during medical appointments, mental health/substance use treatment, and home visits. A community housing partner initiated housing applications in-hospital for homeless patients. Care managers facilitated appropriate discharge plans then worked closely with patients in the community using a harm reduction approach.ResultsNineteen patients were enrolled; all were male, 18/19 were substance users, and 17/19 were homeless. Patients had a total of 64 inpatient admissions in the 12 months before the intervention, versus 40 in the following 12 months, a 37.5% reduction. Most patients (73.3%) had fewer inpatient admissions in the year after the intervention compared to the prior year. Overall ED visits also decreased after study enrollment, while outpatient clinic visits increased. Yearly study hospital Medicaid reimbursements fell an average of

Factors Associated with Frequent Utilization of Crisis Substance Use Detoxification Services

16,383 per patient.ConclusionsA pilot intervention for high-cost patients shows promising results for health services usage. We are currently expanding our model to serve more patients at additional hospitals to see if the pilots success can be replicated.Trial registrationClinicaltrials.gov Identifier: NCT01292096

Vulnerable Patients' Perceptions of Health Care Quality and Quality Data

ABSTRACT Previous research suggests that some substance users have multiple crisis detoxification visits and never access rehabilitation care. This care-seeking pattern leads to poorer outcomes and higher costs. The authors aimed to identify predictors of repeat detoxification visits by analyzing state-level data routinely collected at the time of substances use services admission. Repeat detoxification clients were more likely to be homeless, city-dwelling fee-for-service Medicaid recipients. Repeat detoxification clients were less likely than those with one admission to enter rehabilitation within 3 days. Treatment providers should aim for rapid transfer to rehabilitation and consider expanding detoxification intake data to improve risk stratification.

Presenting quality data to vulnerable groups: charts, summaries or behavioral economic nudges?

Background. Little is known about how patients served by safety-net hospitals utilize and respond to hospital quality data. Objective. To understand how vulnerable, lower income patients make health care decisions and define quality of care and whether hospital quality data factor into such decisions and definitions. Methods. Mixed quantitative and qualitative methods were used to gather primary data from patients at an urban, tertiary-care safety-net hospital. The study hospital is a member of the first public hospital system to voluntarily post hospital quality data online for public access. Patients were recruited from outpatient and inpatient clinics. Surveys were used to collect data on participants’ sociodemographic characteristics, health literacy, health care experiences, and satisfaction variables. Focus groups were used to explore a representative sample of 24 patients’ health care decision making and views of quality. Data from focus group transcripts were iteratively coded and analyzed by the authors. Results. Focus group participants were similar to the broader diverse, low-income clinic population. Participants reported exercising choice in making decisions about where to seek health care. Multiple sources influenced decision-making processes including participants’ own beliefs and values, social influences, and prior experiences. Hospital quality data were notably absent as a source of influence in health care decision making for this population largely because participants were unaware of its existence. Participants’ views of hospital quality were influenced by the quality and efficiency of services provided (with an emphasis on the doctor-patient relationship) and patient centeredness. When presented with it, patients appreciated the hospital quality data and, with guidance, were interested in incorporating it into health care decision making. Conclusions. Results suggest directions for optimizing the presentation, content, and availability of hospital quality data. Future research will explore how similar populations form and make choices based on presentation of hospital quality data.

Patient-centered medical homes may reduce emergency department use: what does this tell us?

Objectives Despite the increased focus on health care consumers’ active choice, not enough is known about how to best facilitate the choice process. We sought to assess methods of improving this process for vulnerable consumers in the United States by testing alternatives that emphasize insights from behavioral economics, or ‘nudges’. Methods We performed a hypothetical choice experiment where subjects were randomized to one of five experimental conditions and asked to choose a health center (location where they would receive all their care). The conditions presented the same information about health centers in different ways, including graphically as a chart, via written summary and using behavioral economics, ‘nudging’ consumers toward particular choices. We hypothesized that these ‘nudges’ might help simplify the choice process. Our primary outcomes focused on the health center chosen and whether consumers were willing to accept ‘nudges’. Results We found that consumer choice was influenced by the method of presentation and the majority of consumers accepted the health center they were ‘nudged’ towards. Conclusions Consumers were accepting of choices grounded in insights from behavioral economics and further consideration should be given to their role in patient choice.

Mobile Phone, Computer, and Internet Use among Older Homeless Adults: Results from the HOPE HOME Study (Preprint)

Policymakers are resolute in their focus on reducing emergency department (ED) use in the face of its persistent increase. Multiple types of interventions to reduce ED use have been tested, but a magic bullet that can safely and effectively divert individuals from EDs (and theoretically, into primary care) has proven elusive. A recent study has cast some new light on this issue. In their article “Emergency Department and Inpatient Hospital Use by Medicare Beneficiaries in PatientCentered Medical Homes,” Pines et al report that the growth rate of outpatient ED rates and outpatient ED payments among Medicare beneficiaries who seek care in practices with patient-centered medical home designation is lower compared with the rate for similar patients in non–patient-centered medical home practices. The beneficiaries assigned to practices with patient-centered medical home designation were healthier and had lower baseline rates of both ED use and payments, and propensity score matching was used to adjust for these differences. The investigators’ findings represent an important contribution to the debate about how EDs can best fit into a delivery system that prioritizes efficiency and coordination of care across multiple settings. The patientcentered medical home model aims to reinvent primary care, making it “accessible, continuous, comprehensive, and coordinated and delivered in the context of family and community.” In other words, the patient-centered medical home model aims to deliver the right care in the right place at the right time. It follows that one measure of success for patient-centered medical homes would be ED visit reductions. A prevailing school of thought among policymakers is that many ED visits represent failures. Patients end up in the ED because they have failed to seek care when or where they

Homelessness and Emergency Medicine: Where Do We Go From Here?

Background The median age of single homeless adults is approximately 50 years. Older homeless adults have poor social support and experience a high prevalence of chronic disease, depression, and substance use disorders. Access to mobile phones and the internet could help lower the barriers to social support, social services, and medical care; however, little is known about access to and use of these by older homeless adults. Objective This study aimed to describe the access to and use of mobile phones, computers, and internet among a cohort of 350 homeless adults over the age of 50 years. Methods We recruited 350 participants who were homeless and older than 50 years in Oakland, California. We interviewed participants at 6-month intervals about their health status, residential history, social support, substance use, depressive symptomology, and activities of daily living (ADLs) using validated tools. We performed clinical assessments of cognitive function. During the 6-month follow-up interview, study staff administered questions about internet and mobile technology use. We assessed participants’ comfort with and use of multiple functions associated with these technologies. Results Of the 343 participants alive at the 6-month follow-up, 87.5% (300/343) completed the mobile phone and internet questionnaire. The median age of participants was 57.5 years (interquartile range 54-61). Of these, 74.7% (224/300) were male, and 81.0% (243/300) were black. Approximately one-fourth (24.3%, 73/300) of the participants had cognitive impairment and slightly over one-third (33.6%, 100/300) had impairments in executive function. Most (72.3%, 217/300) participants currently owned or had access to a mobile phone. Of those, most had feature phones, rather than smartphones (89, 32.1%), and did not hold annual contracts (261, 94.2%). Just over half (164, 55%) had ever accessed the internet. Participants used phones and internet to communicate with medical personnel (179, 64.6%), search for housing and employment (85, 30.7%), and to contact their families (228, 82.3%). Those who regained housing were significantly more likely to have mobile phone access (adjusted odds ratio [AOR] 3.81, 95% CI 1.77-8.21). Those with ADL (AOR 0.53, 95% CI 0.31-0.92) and executive function impairment (AOR 0.49; 95% CI 0.28-0.86) were significantly less likely to have mobile phones. Moderate to high risk amphetamine use was associated with reduced access to mobile phones (AOR 0.27, 95% CI 0.10-0.72). Conclusions Older homeless adults could benefit from portable internet and phone access. However, participants had a lower prevalence of smartphone and internet access than adults aged over 65 years in the general public or low-income adults. Participants faced barriers to mobile phone and internet use, including financial barriers and functional and cognitive impairments. Expanding access to these basic technologies could result in improved outcomes.

A National Study of Outpatient Health Care Providers’ Effect on Emergency Department Visit Acuity and Likelihood of Hospitalization

In many emergency departments (EDs) around the country, providers care for patients experiencing homelessness on every single shift. Despite its proven impact on health, housing status is not a routine part of the history taken by most emergency providers, and in many cases providers are unaware that they are caring for someone who has no stable home. Patients experiencing homelessness have unique needs spanning acute and chronic illness, injury, behavioral health diagnoses, and material deprivation. This article is protected by copyright. All rights reserved.