The association between telemedicine, advance care planning, and unplanned hospitalizations among high-risk patients with cancer.

BACKGROUND: Despite the widespread implementation of telemedicine, there are limited data regarding its impact on key components of care for patients with incurable or high-risk cancer. For these patients, high-quality care requires detailed conversations regarding treatment priorities (advance care planning) and clinical care to minimize unnecessary acute care (unplanned hospitalizations). Whether telemedicine affects these outcomes relative to in-person clinic visits was examined among patients with cancer at high risk for 6-month mortality. METHODS: This retrospective cohort study included adult patients with cancer with any tumor type treated at the University of Pennsylvania who were newly identified between April 1 and December 31, 2020, to be at high risk for 6-month mortality via a validated machine learning algorithm. Separate modified Poisson regressions were used to assess the occurrence of advance care planning and unplanned hospitalizations for telemedicine as compared to in-person visits. Additional analyses were done comparing telemedicine type (video or phone) as compared to in-person clinic visits. RESULTS: The occurrence of advance care planning was similar between telemedicine and in-person visits (6.8% vs. 6.0%; adjusted risk ratio [aRR], 1.25; 95% CI, 0.92-1.69). In regard to telemedicine subtype, patients exposed to video encounters were modestly more likely to have documented advance care planning in comparison to those seen in person (7.5% vs. 6.0%; aRR, 1.48; 95% CI, 1.03-2.11). The 3-month risk for unplanned hospitalization was comparable for telemedicine compared to in-person clinic encounters (21% vs. 18%; aRR, 1.06; 95% CI, 0.81-1.38). CONCLUSIONS: In this study, care delivered by telemedicine, compared to in-person clinic visits, produced comparable rates of advance care planning conversations without increasing hospitalizations, which suggests that vulnerable patients can be managed safely by telemedicine.

Racial and Ethnic Disparities in Acute Care Utilization Among Patients With Glomerular Disease.

RATIONALE & OBJECTIVE: The effects of race, ethnicity, socioeconomic status (SES), and disease severity on acute care utilization in patients with glomerular disease are unknown. STUDY DESIGN: Prospective cohort study. SETTING & PARTICIPANTS: 1,456 adults and 768 children with biopsy-proven glomerular disease enrolled in the Cure Glomerulonephropathy (CureGN) cohort. EXPOSURE: Race and ethnicity as a participant-reported social factor. OUTCOME: Acute care utilization defined as hospitalizations or emergency department visits. ANALYTICAL APPROACH: Multivariable recurrent event proportional rate models were used to estimate associations between race and ethnicity and acute care utilization. RESULTS: Black or Hispanic participants had lower SES and more severe glomerular disease than White or Asian participants. Acute care utilization rates were 45.6, 29.5, 25.8, and 19.2 per 100 person-years in Black, Hispanic, White, and Asian adults, respectively, and 55.8, 42.5, 40.8, and 13.0, respectively, for children. Compared with the White race (reference group), Black race was significantly associated with acute care utilization in adults (rate ratio [RR], 1.76 [95% CI, 1.37-2.27]), although this finding was attenuated after multivariable adjustment (RR, 1.31 [95% CI, 1.03-1.68]). Black race was not significantly associated with acute care utilization in children; Asian race was significantly associated with lower acute care utilization in children (RR, 0.32 [95% CI 0.14-0.70]); no significant associations between Hispanic ethnicity and acute care utilization were identified. LIMITATIONS: We used proxies for SES and lacked direct information on income, household unemployment, or disability. CONCLUSIONS: Significant differences in acute care utilization rates were observed across racial and ethnic groups in persons with prevalent glomerular disease, although many of these difference were explained by differences in SES and disease severity. Measures to combat socioeconomic disadvantage in Black patients and to more effectively prevent and treat glomerular disease are needed to reduce disparities in acute care utilization, improve patient wellbeing, and reduce health care costs.

The impact of antipsychotic adherence on acute care utilization.

BACKGROUND: Non-adherence to psychotropic medications is common in schizophrenia and bipolar disorders (BDs) leading to adverse outcomes. We examined patterns of antipsychotic use in schizophrenia and BD and their impact on subsequent acute care utilization. METHODS: We used electronic health record (EHR) data of 577 individuals with schizophrenia, 795 with BD, and 618 using antipsychotics without a diagnosis of either illness at two large health systems. We structured three antipsychotics exposure variables: the proportion of days covered (PDC) to measure adherence; medication switch as a new antipsychotic prescription that was different than the initial antipsychotic; and medication stoppage as the lack of an antipsychotic order or fill data in the EHR after the date when the previous supply would have been depleted. Outcome measures included the frequency of inpatient and emergency department (ED) visits up to 12 months after treatment initiation. RESULTS: Approximately half of the study population were adherent to their antipsychotic medication (a PDC ≥ 0.80): 53.6% of those with schizophrenia, 52.4% of those with BD, and 50.3% of those without either diagnosis. Among schizophrenia patients, 22.5% switched medications and 15.1% stopped therapy. Switching and stopping occurred in 15.8% and 15.1% of BD patients and 7.4% and 20.1% of those without either diagnosis, respectively. Across the three cohorts, non-adherence, switching, and stopping therapy were all associated with increased acute care utilization, even after adjusting for baseline demographics, health insurance, past acute care utilization, and comorbidity. CONCLUSION: Non-continuous antipsychotic use is common and associated with high acute care utilization.

A Qualitative Study Identifying the Potential Risk Mechanisms Leading to Hospitalization for Patients With Chronic Lung Disease.

BACKGROUND: Care management programs for chronic lung disease attempt to reduce hospitalizations, yet have not reliably achieved this goal. A key limitation of many programs is that they target patients with characteristics associated with hospitalization risk, but do not specifically modify the mechanisms that lead to hospitalization. RESEARCH QUESTION: What are the common mechanisms underlying known patient-level risk characteristics leading to hospitalizations for acute exacerbations of chronic lung disease? STUDY DESIGN AND METHODS: We conducted a qualitative study of patients admitted to the University of Pennsylvania Health System with acute exacerbations of chronic lung disease between January and September 2019. We interviewed patients, their family caregivers, and their inpatient and outpatient clinicians about experiences leading up to the hospitalization. We analyzed the interview transcripts using triangulation and abductive analytic methods. RESULTS: We conducted 69 interviews focused on the admission of 22 patients with a median age of 66 years (interquartile range, 60-70 years), of whom 16 patients (73%) were female and 14 patients (64%) were Black. We interviewed 22 patients, 14 caregivers, 19 inpatient clinicians, and 14 outpatient clinicians. We triangulated the available interview data for each patient admission and identified the underlying mechanisms of how several known patient characteristics associated with risk actually led to hospitalization. These mechanisms included limited capacity for home management of acute symptom changes, barriers to accessing care, chronic functional limitations, and comorbid behavioral health disorders. Importantly, many of the clinical, social, and behavioral mechanisms underlying hospitalizations were present for months or years before the symptoms that prompted inpatient care. INTERPRETATION: Care management programs should be built to target specific clinical, social, and behavioral mechanisms that directly lead to hospitalization. Upstream interventions that reduce hospitalization risk are possible given that many contributory mechanisms are present for months or years before the onset of acute exacerbations.

Frailty Explains Variation in Emergency Department Use for Older Veterans During the COVID-19 Pandemic.

Introduction: Older adults were critically vulnerable to disruptions in health care during the COVID-19 pandemic, but it is not known if changes in ED utilization varied based on patient characteristics. Using a cohort of older Veterans, we examined changes in ED visit rates based on four characteristics of interest: age, race, area deprivation index, and frailty. Methods: Participants were aged ≥65, with ≥2 visits in primary or geriatric clinics between 02/02/2018-05/07/2019. An adjusted negative binomial regression model was constructed for each characteristic. We report mean counts of all ED visits by quarter for subgroups separately, and report rate ratios to compare ED visits in the first year of the COVID-19 pandemic to the year before. Results: Patients with complete case data numbered 38,871. During the first two quarters, all subgroups had decreased ED visits, with more variation in the third and fourth quarters. The very highly frail, who had the highest mean estimated count of ED visits per person through both pre-COVID and COVID periods, also had a significant decrease in their ED visits during multiple quarters of the pandemic to a greater degree than other frailty subgroups. Conclusion: Stratifying older adults by frailty identified patient subgroups with the greatest variation in ED visits during COVID. Very highly frail patients warrant special attention to understand how variation in ED utilization affects patient outcomes.

Spatial Heterogeneity of the Respiratory Health Impacts of Wildfire Smoke PM2.5 in California.

Wildfire smoke fine particles (PM2.5) are a growing public health threat as wildfire events become more common and intense under climate change, especially in the Western United States. Studies assessing the association between wildfire PM2.5 exposure and health typically summarize the effects over the study area. However, health responses to wildfire PM2.5 may vary spatially. We evaluated spatially-varying respiratory acute care utilization risks associated with short-term exposure to wildfire PM2.5 and explored community characteristics possibly driving spatial heterogeneity. Using ensemble-modeled daily wildfire PM2.5, we defined a wildfire smoke day to have wildfire-specific PM2.5 concentration ≥15 µg/m3. We included daily respiratory emergency department visits and unplanned hospitalizations in 1,396 California ZIP Code Tabulation Areas (ZCTAs) and 15 census-derived community characteristics. Employing a case-crossover design and conditional logistic regression, we observed increased odds of respiratory acute care utilization on wildfire smoke days at the state level (odds ratio [OR] = 1.06, 95% confidence interval [CI]: 1.05, 1.07). Across air basins, ORs ranged from 0.88 to 1.57, with the highest effect estimate in San Diego. A within-community matching design and spatial Bayesian hierarchical model also revealed spatial heterogeneity in ZCTA-level rate differences. For example, communities with a higher percentage of Black or Pacific Islander residents had stronger wildfire PM2.5-outcome relationships, while more air conditioning and tree canopy attenuated associations. We found an important heterogeneity in wildfire smoke-related health impacts across air basins, counties, and ZCTAs, and we identified characteristics of vulnerable communities, providing evidence to guide policy development and resource allocation.

Utilization and Impact of a Radiation Nursing Clinic to Address Acute Care Needs for Patients with Gynecologic Cancers.

BACKGROUND: The risk factors for acute care utilization in gynecologic oncology patients are poorly understood. This study aimed to evaluate risk factors for the utilization of our centre's acute care radiation nursing clinic (RNC) by gynecologic oncology patients receiving radiotherapy (RT). METHODS: This was a retrospective cohort study of gynecological cancer patients treated with RT at an academic cancer centre between 1 August 2021 and 31 January 2022. Data on socio-demographics, clinical and treatment characteristics, and RNC visits were collected and summarized by descriptive statistics. The Wilcoxon rank sum test and chi-squared test/Fisher's exact test were used for comparisons of continuous and categorical variables, respectively. RESULTS: RT was delivered to 180 patients, of whom 42 (23%) received concurrent chemoradiation (CCR). Compared to those receiving RT alone, patients receiving CCR had higher rates of RNC utilization (55% vs. 19%, p < 0.001). Within the CCR cohort, patients who presented to the RNC were more likely to be unpartnered (43% vs. 11%, p = 0.04), receive a referral to Psychosocial Oncology (39% vs. 5.3%, p = 0.01), and experience treatment interruptions (52% vs. 16%, p = 0.02). There were no associations between RNC visits and age, disease site, or distance from the cancer centre. CONCLUSIONS: The receipt of CCR and specific psychosocial risk factors were associated with increased RNC utilization. Targeted strategies and early intervention to better meet the supportive care and psychosocial needs of this vulnerable population are needed.

The temporal trend and disparity in short-term health impacts of fine particulate matter in California (2006-2019).

Most epidemiological studies assume that the relationship between short-term air pollution exposure and health outcomes is constant over time, which ignores potential changes in population composition and particulate matter emission sources. Limited studies have assessed changes in the relationship between fine particulate matter (PM2.5) and adverse health outcomes over time, with mixed results. Additionally, there is a need to identify which subgroups are disproportionately impacted over time by PM2.5-related health consequences. Therefore, we aimed to examine whether temporal trends exist in the relationships between daily PM2.5 exposure and circulatory and respiratory acute care utilization in California from 2006 to 2019. We further assessed whether certain subpopulations are more susceptible to PM2.5 exposure by demographic characteristics and extreme wildfire frequency. Daily PM2.5 concentrations estimated from a stacked ensemble model and daily cause-specific acute care utilization and demographic data from the California Department of Health Care Access and Information. We analyzed this relationship using modified two-stage Bayesian hierarchical models, where we first did not consider temporal trends, then stratified by two periods, and finally flexibly considered non-linear changes over time. Increases in circulatory (0.56 %; 95 % credible interval (CI): 0.17 %, 0.96 %) and respiratory acute care utilization risk (2.61 %; 95%CI: 2.29 %, 2.94 %) were found with every 10 µg/m3 increase in PM2.5 on the same day and previous two days. These risks were found to increase over time, where 0.13 % (95%CI: 0.02 %, 0.22 %) and 1.40 % (95%CI: 1.24 %, 1.54 %) increases were identified for circulatory and respiratory acute care utilizations, respectively, from the first (2006-2012) to second period (2013-2019). Differences by age, sex, race/ethnicity, and extreme wildfire frequency were noted. These findings confirm that air pollution guidelines should consider the dynamic nature of epidemiological dose-response and can provide insight for targeted air pollution control and adaptation policies designed to reduce PM2.5 exposure, particularly for the most susceptible subpopulations.

Emergency department visits and hospitalizations in older women treated for early stage breast cancer.

INTRODUCTION: Older patients with cancer often require acute care treatment through emergency department (ED) visits and hospitalizations. This study investigates acute care utilization through ED visits and hospitalizations during treatment and in the two years following the completion of primary treatment for early stage breast cancer (EBC) in women aged 65 and older. MATERIALS AND METHODS: A retrospective analysis including descriptive statistics, univariate analysis, and relative risk analysis of 256 women with EBC was performed through medical record review of demographics, comorbidities, disease characteristics, treatment details, and causes of hospitalizations and ED visits. RESULTS: Both hospitalizations and ED visits were significantly more frequent for patients in the post-primary treatment period compared to during treatment (hospitalizations: 22% post-primary treatment vs 13% during treatment, 95% confidence interval [CI] of true difference = 2.5%-15.5; ED visits: 21% post-primary treatment vs 10% during treatment, 95% CI of true difference = 4.8%-17.2%). Both hospitalizations (79% versus 32%, 95% CI of true difference = 28.7%-65.3%) and ED visits (42% versus 12%, 95% CI of true difference = 9.1%-50.9%) were more often breast cancer related during primary treatment compared to following treatment. Following treatment, EBC related hospitalizations were most often for disease progression (42%) and EBC related ED visits were most often for post-systemic therapy complications (43%). Significant predictors for EBC related hospitalizations in the two years following treatment included stage III disease (relative risk [RR] = 8.77, 95% CI = 2.50-30.82), having underwent mastectomy (RR = 12.51, 95% CI = 2.91-53.78), and having received chemotherapy (RR = 3.95, 95% CI = 1.18-13.23). However, chemotherapy does not appear to be a significant predictor for hospitalization when controlling for stage III disease (RR = 2.22, 95% CI = 0.61-8.05), whereas stage III disease remains a significant risk factor when controlling for chemotherapy (RR = 6.09, 95% CI = 1.58-23.52). DISCUSSION: Our findings suggests that stage III disease, undergoing mastectomy, and chemotherapy treatment predict higher likelihood of EBC related hospitalization following primary treatment in older EBC patients, with stage III disease likely the strongest risk factor.

A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization.

BACKGROUND: Machine learning (ML) predictions are becoming increasingly integrated into medical practice. One commonly used method, ℓ1-penalised logistic regression (LASSO), can estimate patient risk for disease outcomes but is limited by only providing point estimates. Instead, Bayesian logistic LASSO regression (BLLR) models provide distributions for risk predictions, giving clinicians a better understanding of predictive uncertainty, but they are not commonly implemented. METHODS: This study evaluates the predictive performance of different BLLRs compared to standard logistic LASSO regression, using real-world, high-dimensional, structured electronic health record (EHR) data from cancer patients initiating chemotherapy at a comprehensive cancer centre. Multiple BLLR models were compared against a LASSO model using an 80-20 random split using 10-fold cross-validation to predict the risk of acute care utilization (ACU) after starting chemotherapy. FINDINGS: This study included 8439 patients. The LASSO model predicted ACU with an area under the receiver operating characteristic curve (AUROC) of 0.806 (95% CI: 0.775-0.834). BLLR with a Horseshoe+ prior and a posterior approximated by Metropolis-Hastings sampling showed similar performance: 0.807 (95% CI: 0.780-0.834) and offers the advantage of uncertainty estimation for each prediction. In addition, BLLR could identify predictions too uncertain to be automatically classified. BLLR uncertainties were stratified by different patient subgroups, demonstrating that predictive uncertainties significantly differ across race, cancer type, and stage. INTERPRETATION: BLLRs are a promising yet underutilised tool that increases explainability by providing risk estimates while offering a similar level of performance to standard LASSO-based models. Additionally, these models can identify patient subgroups with higher uncertainty, which can augment clinical decision-making. FUNDING: This work was supported in part by the National Library Of Medicine of the National Institutes of Health under Award Number R01LM013362. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Management Landscape of Pediatric Hidradenitis Suppurativa.

Introduction: Pediatric hidradenitis suppurativa (HS) is an understudied condition, and the literature describing the provider landscape for this disease is limited. We aim to characterize healthcare utilization in a cohort of pediatric HS patients at an academic institution. Methods: Patients diagnosed with HS before age 18 were identified via retrospective chart review using ICD-9/10 codes for HS. Data on demographics and HS providers were collected. Results: We found that half of the pediatric HS patients first presented to primary care with their HS symptoms. There was a mean delay in diagnosis of 2 years. Dermatologists and pediatricians were the principal HS care providers, and dermatologists most frequently prescribed treatment or procedures (63%). We also found a low rate of utilization of the HS specialty clinic (11%). Females, patients with more severe disease, and patients with earlier age of onset were more likely to be seen by a dermatologist. Conclusions: Dermatologists play a pivotal role in pediatric HS management as principal care providers for patients. Increasing HS awareness among primary care providers, including pediatricians, is critical for early diagnosis and initiation of treatment.

Unmet family caregiver training needs associated with acute care utilization during home health care.

BACKGROUND/OBJECTIVES: Medicare-certified home health agencies are required to offer family caregiver training, but little is known regarding the potential impact of this training on outcomes during home health care. We estimate the proportion of family caregivers assisting Medicare home health patients who have unmet training needs and examine whether these unmet training needs are associated with older adults' risk of acute care utilization during home health care. DESIGN: Observational, nationally representative cohort study. SETTING: Linked National Health and Aging Trends Study, Outcome and Assessment Information Set (OASIS), Medicare Provider of Services file, and Medicare claims data from 2011 to 2016. PARTICIPANTS: Thousand two hundred seventeen (weighted n = 5,870,905) community-living Medicare beneficiaries who received home health care between 2011 and 2016. MEASUREMENTS: Family caregivers' unmet training needs measured from OASIS and Medicare claims; home health patients' acute care utilization (including emergency department use and hospitalization) measured from OASIS. RESULTS: Rates of unmet need for training varied by activity, from 8.2% of family caregivers assisting with household chores to 16.0% assisting with self-care tasks. After controlling for older adult and home health provider characteristics, older adults whose family caregivers had an unmet need for training with any caregiving activity were twice as likely to incur acute care utilization during their home health episode (adjusted odds ratio [aOR]: 2.01, 95% confidence interval [CI]: 1.20-3.38). This relationship held across specific caregiving activities including household chores (aOR: 1.98; 95% CI: 1.13-3.46), medication management (aOR: 2.50; 95% CI: 1.46-4.26), patient supervision (aOR: 2.92; 95% CI: 1.36-6.24), and self-care tasks (aOR: 3.11; 95% CI: 1.62-6.00). CONCLUSIONS AND RELEVANCE: Unmet training needs among family caregivers are associated with greater likelihood of acute care utilization among Medicare beneficiaries receiving home health care. Identifying and addressing family caregivers' training needs may reduce older adults' risk of acute care utilization during home health care.

Avoided Hospitalization Criteria: Validating the Impact of a Community-Based Palliative Care Program.

Objective: This report describes the experiences of a community-based palliative care (CBPC) program's efforts to understand the patterns of hospital utilization, specifically utilization reduction experienced by admitted patients. Efforts to quantify and describe an avoided hospitalization and opportunities to use these data to strengthen partnerships with local insurance payers to assure sustainability of the CBPC will be discussed. Background: Patients with serious chronic illness experience emergency room care and hospitalizations with increasing frequency as their health deteriorates. CBPC programs are well positioned to decrease hospital utilization by early involvement and improved care management. Methods: Arizona Palliative Home Care (AZPHC) program is a free standing CBPC in Maricopa County, Arizona, serving 3300 patients annually. An interdisciplinary team was formed within the CBPC to facilitate the identification of avoided hospital events and communicate these data to community partners in an effective and consistent manner. The processes developed by this team are described. Results: AZPHC has enhanced its hospitalization avoidance strategies by communicating the rate of hospitalization avoidance events in a consistent and strategic manner. Providing instances of avoided hospitalizations with accompanying patient narratives to payers has enabled AZPHC to demonstrate the impact the CBPC has on improving quality of care and reducing overall costs. Discussion: CBPC programs require payment for sustainability; therefore, partnerships with local insurance payers are essential. Presenting data that validate the impact of a program from a clinical and financial perspective will advance the growth of payer-CBPC provider relationships and secure a future for funded CBPC programs.

Goals-of-Care Consultations Are Associated with Lower Costs and Less Acute Care Use among Propensity-Matched Cohorts of African Americans and Whites with Serious Illness.

Background: African Americans receive more aggressive end-of-life care than Whites. Little is known about how palliative care consultation to discuss goals-of-care ("PCC") is associated with acute care utilization and costs by race. Objective: To compare future acute care costs and utilization between propensity-matched cohorts of African Americans with and without PCC, and Whites with and without PCC. Design: Secondary analysis of a retrospective cohort study. Setting/Subjects: Thirty-five thousand one hundred and fifty-four African Americans and Whites age 18+ admitted for conditions other than childbirth or rehabilitation, who were not hospitalized at the end of the study, and did not die during index hospitalization (hospitalization during which the first PCC occurred). Measurements: Accumulated mean acute care costs and utilization (30-day readmissions, future hospital days, future intensive care unit [ICU] admission, future number of ICU days) after discharge from index hospitalization. Results: No significant difference between African Americans with or without PCC in mean future acute care costs ($11,651 vs. $15,050, p = 0.09), 30-day readmissions (p = 0.58), future hospital days (p = 0.34), future ICU admission (p = 0.25), or future ICU days (p = 0.30). There were significant differences between Whites with PCC and those without PCC in mean future acute care costs ($8,095 vs. $16,799, p < 0.001), 30-day readmissions (10.2% vs. 16.7%, p < 0.0001), and future days hospitalized (3.7 vs. 6.3 days, p < 0.0001). Conclusions: PCC decreases future acute care costs and utilization in Whites and, directionally but not significantly, in African Americans. Research is needed to explain why utilization and cost disparities persist among African Americans despite PCC.

Impact of a Hospital Community Based Palliative Care Partnership: Continuum from Hospital to Home.

Objectives: To discuss the outcomes of a formalized care transition process for palliative care patients from the hospital to the community. Background: Patients who received inpatient palliative care services from the specialist palliative care team in the hospital or who were identified as needing community palliative care services have inadequate support on discharge. Methods: A retrospective review of the medical records of patients admitted to the community based palliative care (CBPC) program, Arizona Palliative Home Care (AZPHC) over a 12-month period (June 2018 to May 2019) was undertaken with a focus on the frequency and pattern of hospital events pre- and postadmission to the program. Patient/family satisfaction data obtained from telephone surveys were evaluated. The medical records from patients (n = 294) with advanced complex illnesses who were admitted to AZPHC from the five Honor Health Network hospitals were included in this study. Results: Of the 294 patients' records reviewed, 80% were in the 65 and older age group and had a mean length of stay on AZPHC of ∼40 days. Comparing acute care utilization pre and post AZPHC admission, there was a reduction of 68.95% at 60 days and 68.22% at 90 days. In addition, 128 avoided hospital events were recorded, and 86% of patients were very likely to recommend AZPHC to family or friends. Discussion: Collaboration between a hospital palliative care team and a CBPC program resulted in high quality transitions across care settings and reduction in acute care utilization.

Residential moves and its association with substance use, healthcare needs, and acute care use among homeless and vulnerably housed persons in Canada.

OBJECTIVES: To determine the relationship between housing instability, as measured by the number of residential moves, with problematic substance use, unmet healthcare needs, and acute care utilization. METHODS: A cohort of homeless or vulnerably housed persons from Vancouver (n = 387), Toronto (n = 390), and Ottawa (n = 396) completed interviewer-administered surveys at baseline and annually for 4 years from 2009 to 2013. Generalized mixed effects logistic regression models were used to examine the association between the number of residential moves and each of the three outcome variables, adjusting for potential confounders. RESULTS: The number of residential moves was significantly associated with higher acute care utilization [adjusted odds ratio (AOR) 1.25; 95% confidence interval (CI) CI: 1.17-1.33], unmet healthcare needs (AOR 1.14; 95% CI: 1.07-1.22), and problematic substance use (AOR 1.26; 95% CI: 1.16-1.36). Having chronic physical or mental conditions and recent incarceration were also found to be associated with the outcomes. CONCLUSIONS: Housing instability increased the odds of all three poor health metrics, highlighting the importance of stable housing as a critical social determinant of health.

Prevalence, characteristics, and acute care utilization of disabled older adults with an absence of help for activities of daily living: Findings from a nationally representative survey.

OBJECTIVE: The aim of this study was to investigate the prevalence, characteristics, and acute care utilization of community dwelling disabled older adults with an absence of help for activities of daily living (ADL). METHODS: We analyzed cross-sectional data from a nationally representative sample of people aged 65 years and over (n=2904) participating in the 2009 National Health Interview Survey in Taiwan. Disability was defined as self-reporting a lot of difficulty or complete inability to carry out one or more ADL tasks. Participants with disability were asked whether they received help in the form of personal assistance or assistive devices to complete ADL tasks, with a yes response indicating the presence of help and a no response indicating the absence of help. Hospitalization and emergency department visits was assessed as a dichotomous variable (any or none), respectively. RESULTS: An absence of available help for ADL disability was reported in 16.6% of disabled older adults. Disabled older adults reporting an absence of help were more likely to be female. After adjustment for other factors, compared to older adults without disability, older adults with disability not receiving help for ADL tasks were highly related to hospitalization (OR=4.57; 95%CI=[1.51-13.82]) and emergency department visits (OR=3.52; 95%CI=[1.15-10.76]) during the past year, respectively. CONCLUSIONS: We found that there is high prevalence of absence of help to perform ADL tasks in older adults with disability, and that this absence of help for ADL disability is associated with a greater burden of acute care utilization than those without disability.

Correlates of Patient Activation and Acute Care Utilization Among Multimorbid Patients.

Patient activation and self-management have been associated with improved patient outcomes, including decreased re-hospitalization; however, little research has identified factors that predict patient activation in the multimorbid hospitalized patient. This descriptive correlational study included 200 patients with three or more chronic diseases discharged to home post-hospitalization. Standard multiple regression was used to identify correlates of patient activation. Multimorbid patients with lower activation scores had more acute care utilization (re-hospitalization and emergency department visits) 30 days post-discharge than patients with higher activation scores. Predictors of patient activation were health literacy (p = .013), satisfaction with social role (p = .014), and involvement in chronic illness care (p = .001). Care transition programs focusing on health literacy, role satisfaction, and promoting patient-centered care may improve patient outcomes for multimorbid patients.

Medication regimen complexity and readmissions after hospitalization for heart failure, acute myocardial infarction, pneumonia, and chronic obstructive pulmonary disease.

OBJECTIVES: Readmission rate is increasingly being viewed as a key indicator of health system performance. Medication regimen complexity index scores may be predictive of readmissions; however, few studies have examined this potential association. The primary objective of this study was to determine whether medication regimen complexity index is associated with all-cause 30-day readmission after admission for heart failure, acute myocardial infarction, pneumonia, or chronic obstructive pulmonary disease. METHODS: This study was an institutional review board-approved, multi-center, case-control study. Patients admitted with a primary diagnosis of heart failure, acute myocardial infarction, pneumonia, or chronic obstructive pulmonary disease were randomly selected for inclusion. Patients were excluded if they discharged against medical advice or expired during their index visit. Block randomization was utilized for equal representation of index diagnosis and site. Discharge medication regimen complexity index scores were compared between subjects with readmission versus those without. Medication regimen complexity index score was then used as a predictor in logistic regression modeling for readmission. RESULTS: Seven hundred and fifty-six patients were randomly selected for inclusion, and 101 (13.4%) readmitted within 30 days. The readmission group had higher medication regimen complexity index scores than the no-readmission group (p < 0.01). However, after controlling for demographics, disease state, length of stay, site, and medication count, medication regimen complexity index was no longer a significant predictor of readmission (odds ratio 0.99, 95% confidence interval 0.97-1.01) or revisit (odds ratio 0.99, 95% confidence interval 0.98-1.02). CONCLUSION: There is little evidence to support the use of medication regimen complexity index in readmission prediction when other measures are available. Medication regimen complexity index may lack sufficient sensitivity to capture an effect of medication regimen complexity on all-cause readmission.

Very mild dementia and medical comorbidity independently predict health care use in the elderly.

OBJECTIVE: To determine whether dementia status and medical burden were independent predictors of emergency department (ED) visits and hospitalizations in older patients from an urban geriatric practice participating in a primary care based cognitive screening program. PARTICIPANTS AND METHODS: A comprehensive chart review was conducted for 300 African American and Caucasian patients, including 46 with prevalent dementia and 28 with incident dementia using the Cumulative Illness Burden Scale. Hospital-based claims data was used to retrieve ED visits and hospital admissions for 5 years following baseline assessment. RESULTS: Patients with dementia had a 49% higher rate of ED visits (IRR = 1.49; 95% CI = 1.06, 2.09) and an 83% higher risk of death than patients without dementia (HR = 1.83; 95% CI = 3.07, 0.03). Dementia status predicted hospital admissions after adjustment for medical burden (IRR = 1.37; 95% CI = 0.99, 1.89). For each one point increase in medical burden, there was an 11% increase in ED visits (IRR = 1.11; 95% CI = 1.06, 1.16), a 13% increase in hospital admissions (IRR = 1.13; 95% CI = 1.09, 1.17), and an 11% higher risk of death (HR = 1.11; 95% CI = 1.04, 1.17). Age did not predict utilization. CONCLUSION: Dementia status and medical burden were independent predictors of ED visits and death in patients with clinically diagnosed dementia followed from the early stage of disease.