Potentially preventable hospitalizations and super-utilization of inpatient services among patients with chronic kidney disease in Hawai'i.

BACKGROUND: Chronic kidney disease (CKD) is linked to high morbidity and mortality and increased hospitalization burden. If appropriately managed in the outpatient setting, ambulatory care-sensitive conditions (ACSCs) do not lead to hospitalization. Hospitalizations due to ACSCs are considered as potentially preventable hospitalizations. Patients with recurrent hospitalizations are considered as super-utilizers of inpatient services. The aim of this study is to determine prevalence of potentially preventable hospitalizations and super-utilization of inpatient services among patients with CKD in Hawai'i. METHODS: Hawai'i statewide inpatient data (2015-2017) were used to identify adult CKD patients with hospitalizations during a 12-month period from the first recorded date of CKD. The associations between the potentially preventable hospitalizations and super-utilization and other key patient demographic and clinical variables (sex, age, ethnicity, insurance type, Charlson comorbidity index (CCI), county of residence, and homelessness indicator) were analyzed using bivariate analysis. Multivariable logistic regression was utilized to assess the associations between the potentially preventable hospitalizations and patient variables. RESULTS: Approximately 2% of patients reported potentially preventable hospitalizations, and a total of 12.3% patients reported super-utilization. Out of all CKD-specific ACSC hospitalizations, 74.2% were due to heart failure and 25.8% were due to hyperkalemia. Patients who reported super-utilization were more likely to report potentially preventable hospitalization (OR: 5.98, 95%CI: 4.50-7.93) than patients who did not report super-utilization. CONCLUSION: This study showed prevalence of potentially preventable hospitalizations and high inpatient utilization among CKD patients in Hawai'i. Heart failure and hyperkalemia were the two major causes of CKD-specific ACSC hospitalizations in this cohort. Effective strategies should be employed to improve the outpatient CKD management to reduce hospitalizations and in turn reduce cost.

Personalized Care Plans: Are They Effective in Decreasing ED Visits and Health Care Expenditure Among Adult Super-Utilizers?

PROBLEM: Super-utilizers comprise 4.5% to 8% of all ED patients, but account for 21% to 28% of all ED visits. Excessive use of the emergency department contributes to increased health care costs, recurrent and unnecessary ED workup, decreased emergency readiness, and reduced staff morale. METHODS: The impact of personalized care plan implementation was evaluated using a within-subjects pre-post design. The number of ED visits for each enrolled patient (N = 65) were analyzed before and after personalized care plan enrollment at 90, 180, and 365 days. A post-hoc analysis was completed for each ED visit that resulted in a disposition of discharge. Total and average charges from the ED visits were analyzed to determine the intervention's effect on health care expenditure. Staff was anonymously surveyed to assess perceived efficacy and level of satisfaction with the intervention before completion of data collection. RESULTS: Median ED visits had a statistically significant decrease over 90, 180, and 365 days. There was also a decrease in median, average, and total ED charges for all time points. ED staff perceived the personalized care plans to be an effective intervention and were satisfied with their implementation. DISCUSSION: Personalized care plans effectively decreased the number of ED visits, reduced health care expenditure, and were well-received by the staff.

Characterization of high healthcare utilizer groups using administrative data from an electronic medical record database.

BACKGROUND: High utilizers (HUs) are a small group of patients who impose a disproportionately high burden on the healthcare system due to their elevated resource use. Identification of persistent HUs is pertinent as interventions have not been effective due to regression to the mean in majority of patients. This study will use cost and utilization metrics to segment a hospital-based patient population into HU groups. METHODS: The index visit for each adult patient to an Academic Medical Centre in Singapore during 2006 to 2012 was identified. Cost, length of stay (LOS) and number of specialist outpatient clinic (SOC) visits within 1 year following the index visit were extracted and aggregated. Patients were HUs if they exceeded the 90th percentile of any metric, and Non-HU otherwise. Seven different HU groups and a Non-HU group were constructed. The groups were described in terms of cost and utilization patterns, socio-demographic information, multi-morbidity scores and medical history. Logistic regression compared the groups' persistence as a HU in any group into the subsequent year, adjusting for socio-demographic information and diagnosis history. RESULTS: A total of 388,162 patients above the age of 21 were included in the study. Cost-LOS-SOC HUs had the highest multi-morbidity and persistence into the second year. Common conditions among Cost-LOS and Cost-LOS-SOC HUs were cardiovascular disease, acute cerebrovascular disease and pneumonia, while most LOS and LOS-SOC HUs were diagnosed with at least one mental health condition. Regression analyses revealed that HUs across all groups were more likely to persist compared to Non-HUs, with stronger relationships seen in groups with high SOC utilization. Similar trends remained after further adjustment. CONCLUSION: HUs of healthcare services are a diverse group and can be further segmented into different subgroups based on cost and utilization patterns. Segmentation by these metrics revealed differences in socio-demographic characteristics, disease profile and persistence. Most HUs did not persist in their high utilization, and high SOC users should be prioritized for further longitudinal analyses. Segmentation will enable policy makers to better identify the diverse needs of patients, detect gaps in current care and focus their efforts in delivering care relevant and tailored to each segment.

Caring for "Super-utilizers": Neoliberal Social Assistance in the Safety-net.

Hospitals throughout the United States are implementing new forms of care delivery meant to address social needs for structurally vulnerable patients as a strategy to prevent emergency department visits and hospitalizations and to thereby reduce costs. This article examines how the deployment of social assistance within a neoliberal institutional logic involves the negotiation and alignment of economistic values with ethics of care. We focus on care practices meant to stabilize the socioeconomic conditions of the most expensive patients in the health care system-the "super-utilizers"-through the provisioning of basic resources such as housing, food, transportation, and social support. These patients typically suffer from multiple chronic illnesses accompanied by conditions of poverty, housing and food insecurity, exposure to violence and trauma, and associated substance use and mental health problems. We offer an account of how practices of social assistance are being forged within contexts defined by neoliberal governance.

Social work-based transitional care intervention for super utilizers of medical care: a retrospective analysis of the bridge model for super utilizers.

The present study was a retrospective evaluation of a social worker-led transitional care intervention that addresses the medical and social needs of inpatient super utilizers with ≥5 inpatient admissions in a 12-month period. Bivariate analyses revealed significant reductions in the total number of hospital admissions, 30-day readmission rates, number of emergency department visits, average hospital charges per episode, and total hospital charges per person after the intervention. This social work intervention may be of interest to providers and payers, particularly regarding addressing the psychosocial needs of complex patients who account for most of health care costs.

Characterization, Categorization, and 5-Year Mortality of Medicine High Utilizer Inpatients.

BACKGROUND: Patients who are frequently admitted to Medicine inpatient services comprise a distinct subset of readmitted patients about whom not much is known. OBJECTIVE: We sought to characterize this group including mortality rates, with the goal of better understanding this population. DESIGN: Observational study of frequently hospitalized patients defined as 4 or more admissions over a 6-month period, with hospitalization defined as nonelective admission to the hospital. SETTING: Single large academic medical center. PATIENTS: Adult inpatients on general medicine and medicine subspecialty services. MEASUREMENTS: The number of nonelective medicine hospitalizations, age, clinical conditions and comorbidities, calculation of an age-adjusted Charlson Comorbidity Index (CCI), outpatient and emergency department visits, length of stay, costs of hospitalization, and mortality over a 5-year period. Descriptive statistics were used to characterize variables of interest. RESULTS: We identified 153 patients with a total of 781 nonelective hospitalizations, totaling greater than 4000 hospital days and with charges of approximately US$9 million during the 6 months. Nearly all had insurance coverage and good outpatient follow-up (median of 7 appointments over the 6-month study period). Only 14% of those admissions qualified for observation status. Over 40% of patients had comorbid mental health disease or chronic narcotic dependence. Twenty-nine percent of patients died within 1 year; 50% were dead within 5 years. Age-adjusted CCI scores ranged annually from 3.00 to 3.58 among surviving patients versus 4.31 to 6.60 among deceased patients. CONCLUSIONS: These findings point to distinct groups of patients who are frequently hospitalized, and therefore would benefit from tailored management strategies: Those with progression of end-stage disease comprised one-third of the group and targeting that subset with palliative care referrals could help decrease readmission rates. Those with recurrent exacerbations of a chronic medical condition could be managed through telemanagement programs. Those with exacerbations of chronic pain could be addressed through collaboration with pain management specialists. Individualized care management plans may be useful for all, especially the latter two groups. Based on differences between survivors and deceased patients, an age-adjusted CCI score of 4 or 5 could be valuable sensitive or specific cutoffs, respectively, for predicting those who would benefit most from palliative care consultation regarding end-of-life goals and management.

Novel integration of governmental data sources using machine learning to identify super-utilization among U.S. counties.

Background: Super-utilizers consume the greatest share of resource intensive healthcare (RIHC) and reducing their utilization remains a crucial challenge to healthcare systems in the United States (U.S.). The objective of this study was to predict RIHC among U.S. counties, using routinely collected data from the U.S. government, including information on consumer spending, offering an alternative method for identifying super-utilization among population units rather than individuals. Methods: Cross-sectional data from 5 governmental sources in 2017 were used in a machine learning pipeline, where target-prediction features were selected and used in 4 distinct algorithms. Outcome metrics of RIHC utilization came from the American Hospital Association and included yearly: (1) emergency rooms visit, (2) inpatient days, and (3) hospital expenditures. Target-prediction features included: 149 demographic characteristics from the U.S. Census Bureau, 151 adult and child health characteristics from the Centers for Disease Control and Prevention, 151 community characteristics from the American Community Survey, and 571 consumer expenditures from the Bureau of Labor Statistics. SHAP analysis identified important target-prediction features for 3 RIHC outcome metrics. Results: 2475 counties with emergency rooms and 2491 counties with hospitals were included. The median yearly emergency room visits per capita was 0.450 [IQR:0.318, 0.618], the median inpatient days per capita was 0.368 [IQR: 0.176, 0.826], and the median hospital expenditures per capita was $2104 [IQR: $1299.93, 3362.97]. The coefficient of determination (R2), calculated on the test set, ranged between 0.267 and 0.447. Demographic and community characteristics were among the important predictors for all 3 RIHC outcome metrics. Conclusions: Integrating diverse population characteristics from numerous governmental sources, we predicted 3-outcome metrics of RIHC among U.S. counties with good performance, offering a novel and actionable tool for identifying super-utilizer segments in the population. Wider integration of routinely collected data can be used to develop alternative methods for predicting RIHC among population units.

Identifying Homogeneous Patient Clusters in Swiss University Hospital Through Latent Class Analysis.

In hospitalized populations, there is significant heterogeneity in patients' characteristics, disease severity, and treatment responses, which translates into different related outcomes and costs. Identifying inpatient clusters with similar clinical profiles could lead to better quality and personalized care while improving clinical resources used. Super-utilizers (SUs) are one such a group, who contribute a substantial proportion of health care costs and utilize a disproportionately high share of health care resources. This study uses cost, utilization metrics and clinical information to segment the population of patients (N=32,759) admitted to the University Hospitals of Geneva per year in 2017 - 2019. Using Latent Class Analysis it identifies 8 subgroups with highly similar patients demographics, medical conditions, types of service and costs within groups and which are highly different between groups. As such 82% of all SU patients, 99% of all patients less than 20 years old and 78% of all orthopedics patients are clustered into only 3 separate groups while one group contain only adult women 90% of them 20 to 40 years of age.

High-Cost, High-Need Users of Acute Unscheduled HIV Care: A Cross-Sectional Study.

BACKGROUND: High-cost, high-need users are defined as patients who accumulate large numbers of emergency department visits and hospital admissions that might have been prevented by relatively inexpensive early interventions and primary care. This phenomenon has not been previously described in HIV-infected individuals. METHODS: We analyzed the health records of HIV-infected individuals using scheduled or unscheduled inpatient or outpatient health care in St James's Hospital, Dublin, Ireland, from October 2014 to October 2015. RESULTS: Twenty-two of 2063 HIV-infected individuals had a cumulative length of stay >30 days in the study period. These individuals accrued 99 emergency department attendances and 1581 inpatient bed days, with a direct cost to the hospital of >€1 million during the study period. Eighteen of 22 had potentially preventable requirements for unscheduled care. Two of 18 had a late diagnosis of HIV. Sixteen of 18 had not been successfully engaged in outpatient HIV care and presented with consequences of advanced HIV. Fourteen of 16 of those who were not successfully engaged in care had ≥1 barrier to care (addiction, psychiatric disease, and/or homelessness). CONCLUSIONS: A small number of HIV-infected individuals account for a high volume of acute unscheduled care. Intensive engagement in outpatient care may prevent some of this usage and ensuing costs.

Understanding Perceived Barriers to Care Among Suburban Super-Utilizers Who Have an Identified Primary Care Provider.

Patients who are admitted to the hospital frequently (>3 admissions in a 6-month period) are a large driver of health care costs. Recently, research has focused on these groups of super-utilizing patients to try to find ways to meet their care needs in the outpatient setting. However, most research so far has focused on the urban underserved population who do not have a usual source of care. The goal of this study is to identify a group of patients from a suburban academic family medicine practice who have been admitted to the hospital frequently over a 6-month period and interview them to identify patient-perceived barriers to care in the outpatient setting. Nine of the 176 patients identified as frequently hospitalized were interviewed. Interpretive phenomenology analysis was used to identify perceived barriers and facilitators to care. Although some identified barriers were similar to those noted in groups of the urban underserved, including chronic disease and polypharmacy, other barriers were uniquely identified in the nonurban population, including transportation and support at home. Transportation issues, lack of support at home, and poor interdisciplinary communication were found to increase risk for readmission. Conversely, good interdisciplinary communication and ample support from family, including support services at home, were viewed as facilitators to outpatient care.

Improvement in Quality Metrics by the UPMC Enhanced Care Program: A Novel Super-Utilizer Program.

The aim was to evaluate pre-post quality of care measures among super-utilizer patients enrolled in the Enhanced Care Program (ECP), a primary care intensive care program. A pre-post analysis of metrics of quality of care for diabetes, hypertension, cancer screenings, and connection to mental health care for participants in the ECP was conducted for patients enrolled in ECP for 6 or more months. Patients enrolled in ECP showed statistically significant improvements in hemoglobin A1c, retinal exams, blood pressure measurements, and screenings for colon cancer, and trends toward improvement in diabetic foot exams and screenings for cervical and breast cancer. There was a significant increase in connecting patients to mental health care. This study shows that super-utilizer patients enrolled in the ECP had significant improvements in quality metrics from those prior to enrollment in ECP.

Patient engagement at the margins: Health care providers' assessments of engagement and the structural determinants of health in the safety-net.

Increasing "patient engagement" has become a priority for health care organizations and policy-makers seeking to reduce cost and improve the quality of care. While concepts of patient engagement have proliferated rapidly across health care settings, little is known about how health care providers make use of these concepts in clinical practice. This paper uses 20 months of ethnographic and interview research carried out from 2015 to 2016 to explore how health care providers working at two public, urban, safety-net hospitals in the United States define, discuss, and assess patient engagement. We investigate how health care providers describe engagement for high cost patients-the "super-utilizers" of the health care system-who often face complex challenges related to socioeconomic marginalization including poverty, housing insecurity, exposure to violence and trauma, cognitive and mental health issues, and substance use. The health care providers in our study faced institutional pressure to assess patient engagement and to direct care towards engaged patients. However, providers considered such assessments to be highly challenging and oftentimes inaccurate, particularly because they understood low patient engagement to be the result of difficult socioeconomic conditions. Providers tried to navigate the demand to assess patient engagement in care by looking for explicit positive and negative indicators of engagement, while also being sensitive to more subtle and intuitive signs of engagement for marginalized patients.

Difficult Patients in the Emergency Department: Personality Disorders and Beyond.

Physician-patient encounters in clinical settings, especially in the emergency department, can be of varying degrees of difficulty. Medically complicated, challenging cases can be paradoxically rewarding, whereas psychologically driven difficulty is frustrating and counterproductive for patient care. This article presents 3 different complementary perspectives on difficult patients: clinical presentations, manifestations of personality traits and disorders in clinical settings, and how physician feelings may affect care. Management strategies are discussed.