Symptom burden to predict health care utilization in hospitalized patients with incurable cancer.

2016 ◽  
Vol 34 (26_suppl) ◽  
pp. 98-98
Author(s):  
Ryan David Nipp ◽  
Areej El-Jawahri ◽  
Samantha M.C. Moran ◽  
Sara D'Arpino ◽  
Connor Johnson ◽  
...  

98 Background: Patients with incurable cancer are often hospitalized and have frequent readmissions after discharge. Considering the high physical and psychological symptom burden in this population, we sought to investigate symptoms as predictors of hospital length of stay (LOS) and time to first unplanned readmission. Methods: We consecutively enrolled incurable cancer patients with unplanned hospital admissions from 9/2014-4/2016. Within the first 5 days of admission, we assessed physical (Edmonton Symptom Assessment System [ESAS]; scored 0-10) and mood symptoms (Patient Health Questionnaire 4 [PHQ-4]; scored categorically). We created summated ESAS total and physical symptom variables. To identify predictors of LOS we used linear regression and for time to readmission we used Cox regression, with all models adjusted for age, sex, marital status, comorbidity, education, cancer type and time since incurable diagnosis. Results: We enrolled 1,000 of 1,227 (81%) eligible patients (mean age = 63.4; 50% female; 66% married). Gastrointestinal (33%) and lung (18%) cancers were the most common. Mean hospital LOS was 6.2 days and 30-day readmission rate was 25%. Over half of patients reported moderate/severe fatigue, drowsiness, lack of appetite, pain and poor well-being. Over one-fourth screened positive for PHQ depression and anxiety. All physical and mood symptoms individually predicted for longer LOS. Pain, nausea, poor well-being, ESAS total, ESAS physical and PHQ anxiety predicted for shorter time to readmission. Conclusions: Hospitalized patients with incurable cancer experience a high symptom burden, which correlates with their health care utilization. Both physical and psychological symptoms predict for longer hospital LOS and shorter time to readmission. These findings can inform interventions targeting patients’ symptoms during hospital admissions in an effort to improve health care delivery and utilization. [Table: see text]

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 116-116
Author(s):  
Hira S Mian ◽  
Rinku Sutradhar ◽  
Gregory R Pond ◽  
Branavan Sivapathasundaram ◽  
Anita D'Souza ◽  
...  

Abstract Introduction Transplant ineligible patients with newly-diagnosed multiple myeloma (TI NDMM) have high rates of health care utilization [emergency department visits and/or unplanned hospitalization (ED/hosp)] due to a combination of co-morbidities/frailty, disease manifestations and toxicities of anti-MM treatment. Understanding and optimizing unplanned health care utilization represents an important step in delivering person-centred care in MM. Patient reported outcomes (PROs) may represent one opportunity for predicting health care utilization. Databases within Ontario, Canada represent a unique opportunity to evaluate this association due to the implementation of a standardized population-wide PRO tool (the Edmonton Symptoms Assessment System [ESAS]). ESAS scores have been completed by patients during all outpatient cancer clinic visits since 2007. The ESAS is a validated and reliable tool that assesses the severity of nine common symptoms: well-being, pain, tiredness, anxiety, depression, drowsiness, lack of appetite, nausea and shortness of breath. Patients score these on a rating scale from 0 (no symptom) to 10 (worse possible symptom). The objective of our study was to evaluate the association between PROs (ESAS score) and the subsequent 14-day risk of ED/hosp among TI NDMM patients in the first year following diagnosis. Methods We conducted a retrospective population-based study using administrative data from ICES (previously known as the Institute of Clinical Evaluative Sciences), which maintains databases of health records for all patients in the publicly funded health care system in Ontario, Canada. All patients with NDMM identified using the ICD-O-3 code 9732 (MM), who received treatment without transplant in the first year between Jan 2007-Dec 2018 were included. Patients with no documented ESAS score within one year following diagnosis were excluded. The main outcome of interest was the occurrence of at least one ED/hosp within 14 days of an ESAS assessment in the first year following diagnosis. The main exposure variable was ESAS score (individual score for each of the nine symptoms and total score of all the nine symptoms [t-ESAS]) at each index date. A logistic regression model was used to assess the association of ESAS score and subsequent 14-day ED/hosp. A generalized estimating equations approach was used to account for patient level clustering, arising from multiple ESAS assessments taken on the same patient (over the first year after diagnosis). Results There were 2876 TI NDMM patients identified completing a total of 17,353 ESAS assessments. Baseline characteristics of the cohort are shown in Table 1. Tiredness, poor well-being and pain were the three most common severe symptoms present in 19.6%, 12.4% and 12.2% of the assessments, respectively. With regards to health care utilization, there were a total of 1755 ED/hosp visits in 1172/2876 (40.8%) TI NDMM patients within one year following diagnosis in our cohort. The proportion of patients with ED/hosp within 14 days of the ESAS assessment are outlined in Figure 1. There was an incremental increase in ED/hosp with increasing ESAS scores (higher score indicative of worse symptoms) for each individual symptom. A similar trend was noted for those with increasing t-ESAS scores with a 14-day ED/hosp event rate of 31.3% for those with a maximum score of 90 compared with 5.5% for those with a score of 0. Univariable and multivariate odds for ED/hosp are presented in Table 2. All nine symptom scores and t-ESAS were associated with an increased risk of ED/hosp visits. After controlling for confounders, individual symptoms (pain, tiredness, lack of appetite, shortness of breath and impaired well-being) and t-ESAS remained positively associated with ED/hosp. Conversely, self-reported depression was associated with decreased risk of ED/hosp (odds ratio 0.96 per unit increase, 95% Cl 0.93-0.99, p=0.01). Conclusion Our findings represent the largest study to date demonstrating that a PRO measure of symptom burden is associated with health care utilization in TI NDMM. Even after controlling for baseline factors, ED/hosp remained positively associated with higher ESAS symptom scores. The results of this study may help clinicians identify patients at high risk for ED/hosp. Further studies are required to understand whether targeted intervention aimed at reducing this symptom burden may help decrease ED/hosp usage. Figure 1 Figure 1. Disclosures Mian: BMS: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding. Pond: Takeda: Membership on an entity's Board of Directors or advisory committees; Astra-Zeneca, Merck, Profound Medical: Consultancy; Roche Canada: Current holder of individual stocks in a privately-held company. D'Souza: Sanofi, Takeda, Teneobio, CAELUM, Prothena: Research Funding; Janssen, Prothena: Consultancy; Imbrium, Pfizer, BMS: Membership on an entity's Board of Directors or advisory committees. Wildes: Carevive: Consultancy; Seattle Genetics: Consultancy; Sanofi: Consultancy; Janssen: Consultancy.


2018 ◽  
Vol 49 (1) ◽  
pp. 37-50
Author(s):  
Janko Janković ◽  
Sladjana Šiljak ◽  
Jelena Marinković ◽  
Bojan Kovač ◽  
Slavenka Janković

This study aimed to assess possible differences in health services utilization among people living with noncommunicable diseases (NCDs) in the Republic of Srpska (RS), Bosnia and Herzegovina, with special reference to NCD multimorbidity. In addition, the relationship between self-perceived health and health care utilization was assessed. Data were retrieved from the 2010 National Health Survey. A cross-sectional study design was used. A total of 4,673 persons aged 18 years and older were identified in the households, of which 4,128 were interviewed. Logistic regression analyses were used to estimate the effects of NCDs on health care utilization in RS. Respondents with NCD multimorbidity more frequently visited family physicians (odds ratio [OR], 2.74; 95% confidence interval [CI], 2.34 − 3.19), dentists (OR, 1.57; CI, 1.28 − 1.92), private doctors (OR, 2.14; CI, 1.74 − 2.64), and urgent care departments (OR, 2.30; CI, 1.75 − 3.03) than their counterparts without NCDs. They also had more hospital admissions (OR, 2.03; CI, 1.56 − 2.64). This is the first study to address the relationship between health care utilization and NCDs in the population of RS. Further research is needed to explore how best to organize health care to meet the needs of people in RS with NCDs, especially with NCD multimorbidity.


2019 ◽  
Vol 3 (s1) ◽  
pp. 91-91
Author(s):  
Frances Loretta Gill

OBJECTIVES/SPECIFIC AIMS: Elucidate the unique challenges associated with hospital discharge planning for patients experiencing homelessness. Assess the impact of robust community partnerships and strong referral pathways on participating patients’ health care utilization patterns in an interdisciplinary, student-run hospital consult service for patients experiencing homelessness. Identify factors (both patient-level and intervention-level) that are associated with successful warm hand-offs to outside social agencies at discharge. METHODS/STUDY POPULATION: To assess the impact of participation in HHL on patients’ health care utilization, we conducted a medical records review using the hospital’s electronic medical record system comparing patients’ health care utilization patterns during the nine months pre- and post- HHL intervention. Utilization metrics included number of ED visits and hospital admissions, number of hospital days, 30-day hospital readmissions, total hospital costs, and follow-up appointment attendance rates, as well as percentage of warm hand-offs to community-based organizations upon discharge. Additionally, we collected data regarding patient demographics, duration of homelessness, and characteristics of homelessness (primarily sheltered versus primarily unsheltered, street homeless versus couch surfing, etc) and intervention outcome data (i.e. percentage of warm hand-offs). This study was reviewed and approved by the Tulane University Institutional Review Board and the University Medical Center Research Review Committee. RESULTS/ANTICIPATED RESULTS: For the first 41 patients who have been enrolled in HHL, participation in HHL is associated with a statistically significant decrease in hospital admissions by 49.4% (p < 0.01) and hospital days by 47.7% (p < 0.01). However, the intervention is associated with a slight, although not statistically significant, increase in emergency department visits. Additionally, we have successfully accomplished warm hand-offs at discharge for 71% percent of these patients. Over the next year, many more patients will be enrolled in HHL, which will permit a more finely grained assessment to determine which aspects of the HHL intervention are most successful in facilitating warm hand-offs and decreased health care utilization amongst patients experiencing homelessness. DISCUSSION/SIGNIFICANCE OF IMPACT: Providing care to patients experiencing homelessness involves working within complex social problems that cannot be adequately addressed in a hospital setting. This is best accomplished with an interdisciplinary team that extends the care continuum beyond hospital walls. The HHL program coordinators believe that ED visits amongst HHL patients and percentage of warm hand-offs are closely related outcomes. If we are able to facilitate a higher percentage of warm hand-offs to supportive social service agencies, we may be able to decrease patient reliance on the emergency department as a source of health care, meals, and warmth. Identifying the factors associated with successful warm hand-offs upon discharge from the hospital may assist us in building on the HHL program’s initial successes to further decrease health care utilization while offering increased interdisciplinary educational opportunities for medical students.


2019 ◽  
Vol 156 (6) ◽  
pp. S-774-S-775
Author(s):  
Chimezie Mbachi ◽  
Parth Desai ◽  
Bashar Attar ◽  
Estefania Flores ◽  
Setri Fugar ◽  
...  

2015 ◽  
Vol 26 (6) ◽  
pp. 2909-2918 ◽  
Author(s):  
Zhuokai Li ◽  
Hai Liu ◽  
Wanzhu Tu

Health care utilization is an outcome of interest in health services research. Two frequently studied forms of utilization are counts of emergency department (ED) visits and hospital admissions. These counts collectively convey a sense of disease exacerbation and cost escalation. Different types of event counts from the same patient form a vector of correlated outcomes. Traditional analysis typically model such outcomes one at a time, ignoring the natural correlations between different events, and thus failing to provide a full picture of patient care utilization. In this research, we propose a multivariate semiparametric modeling framework for the analysis of multiple health care events following the exponential family of distributions in a longitudinal setting. Bivariate nonparametric functions are incorporated to assess the concurrent nonlinear influences of independent variables as well as their interaction effects on the outcomes. The smooth functions are estimated using the thin plate regression splines. A maximum penalized likelihood method is used for parameter estimation. The performance of the proposed method was evaluated through simulation studies. To illustrate the method, we analyzed data from a clinical trial in which ED visits and hospital admissions were considered as bivariate outcomes.


2018 ◽  
Author(s):  
Kah Poh Loh ◽  
Erika Ramsdale ◽  
Eva Culakova ◽  
Jason H Mendler ◽  
Jane L Liesveld ◽  
...  

BACKGROUND Older patients with cancer are at an increased risk of adverse outcomes. A geriatric assessment (GA) is a compilation of reliable and validated tools to assess domains that are predictors of morbidity and mortality, and it can be used to guide interventions. However, the implementation of GA and GA-driven interventions is low due to resource and time limitations. GA-driven interventions delivered through a mobile app may support the complex needs of older patients with cancer and their caregivers. OBJECTIVE We aimed to evaluate the feasibility and usability of a novel app (TouchStream) and to identify barriers to its use. As an exploratory aim, we gathered preliminary data on symptom burden, health care utilization, and satisfaction. METHODS In a single-site pilot study, we included patients aged ≥65 years undergoing treatment for systemic cancer and their caregivers. TouchStream consists of a mobile app and a Web portal. Patients underwent a GA at baseline with the study team (on paper), and the results were used to guide interventions delivered through the app. A tablet preloaded with the app was provided for use at home for 4 weeks. Feasibility metrics included usability (system usability scale of >68 is considered above average), recruitment, retention (number of subjects consented who completed postintervention assessments), and percentage of days subjects used the app. For the last 8 patients, we assessed their symptom burden (severity and interference with 17-items scored from 0-10 where a higher score indicates worse symptoms) using a clinical symptom inventory, health care utilization from the electronic medical records, and satisfaction (6 items scored on a 5-point Likert Scale for both patients and caregivers where a higher score indicates higher satisfaction) using a modified satisfaction survey. Barriers to use were elicited through interviews. RESULTS A total of 18 patients (mean age 76.8, range 68-87) and 13 caregivers (mean age 69.8, range 38-81) completed the baseline assessment. Recruitment and retention rates were 67% and 80%, respectively. The mean SUS score was 74.0 for patients and 72.2 for caregivers. Mean percentage of days the TouchStream app was used was 78.7%. Mean symptom severity and interference scores were 1.6 and 2.8 at preintervention, and 0.9 and 1.5 at postintervention, respectively. There was a total of 27 clinic calls during the intervention period and 15 during the postintervention period (week 5-8). One patient was hospitalized during the intervention period (week 1-4) and two patients during the postintervention period (week 5-8). Mean satisfaction scores of patients and caregivers with the mobile app were 20.4 and 23.4, respectively. Barriers fell into 3 themes: general experience, design, and functionality. CONCLUSIONS TouchStream is feasible and usable for older patients on cancer treatment and their caregivers. Future studies should evaluate the effects of the TouchStream on symptoms and health care utilization in a randomized fashion.


2019 ◽  
Author(s):  
Helena Rydell ◽  
Kerstin Ivarsson ◽  
Martin Almquist ◽  
Naomi Clyne ◽  
Mårten Segelmark

Abstract Background Patients on home hemodialysis (HHD) exhibit superior survival compared with patients on institutional hemodialysis (IHD) and peritoneal dialysis (PD). However, the effects of treatment modality on morbidity and health care utilization are divergent between studies. The aim of this study is to compare health care utilization between modalities. Methods The Swedish Renal Registry was used to retrieve patients starting on HHD, IHD or PD. Patients were matched according to sex, age, comorbidity and start date. The Swedish Inpatient Registry was used to determine comorbidity before starting renal replacement therapy (RRT) and hospital admissions during RRT. Dialysis technique survival was compared between HHD and PD. Results RRT was initiated with HHD for 152 patients; these were matched with 608 patients with IHD and 456 with PD. Patients with HHD had significantly lower median annual admission rate and number of days in hospital. (1.7 admissions; 12 days) compared with IHD (2.2; 14) and PD (2.8; 20). The annual admission rate was significantly lower for patients with HHD compared with IHD for cardiovascular diagnoses and compared with PD for infectious disease diagnoses. Dialysis technique survival was significantly longer with HHD compared with PD. Conclusions Patients choosing HHD as initial RRT spend less time in hospital compared with patients on IHD and PD and they were more likely than PD patients, to remain on their initial modality. These advantages, in combination with better survival and higher likelihood of renal transplantation, are important incentives for promoting the use of HHD.


2019 ◽  
Author(s):  
Marten Pijl ◽  
Jorn op den Buijs ◽  
Andreas Landgraf

BACKGROUND With a worldwide increase in the elderly population, and an associated increase in health care utilization and costs, preventing avoidable emergency department visits and hospitalizations is becoming a global priority. A personal emergency response system (PERS), consisting of an alarm button and a means to establish a live connection to a response center, can help the elderly live at home longer independently. Individual risk assessment through predictive modeling can help indicate what PERS subscribers are at elevated risk of hospital transport so that early intervention becomes possible. OBJECTIVE The aim is to evaluate whether the combination of risk scores determined through predictive modeling and targeted interventions offered by a case manager can result in a reduction of hospital admissions and health care costs for a population of German PERS subscribers. The primary outcome of the study is the difference between the number of hospitalizations in the intervention and matched control groups. METHODS As part of the Sicher Zuhause program, an intervention group of 500 PERS subscribers will be tracked for 8 months. During this period, risk scores will be determined daily by a predictive model of hospital transport, and at-risk participants may receive phone calls from a case manager who assesses the health status of the participant and recommends interventions. The health care utilization of the intervention group will be compared to a group of matched controls, retrospectively drawn from a population of PERS subscribers who receive no interventions. RESULTS Differences in health care utilization and costs between the intervention group and the matched controls will be determined based on reimbursement records. In addition, qualitative data will be collected on the participants’ satisfaction with the Sicher Zuhause program and utilization of the interventions offered as part of the program. CONCLUSIONS The study evaluation will offer insight into whether a combination of predictive analytics and case manager-driven interventions can help in avoiding hospital admissions and health care costs for PERS subscribers in Germany living at home independently. In the future, this may lead to improved quality of life and reduced medical costs for the population of the study. CLINICALTRIAL Deutsches Register Klinischer Studien (DRKS), DRKS00017328; https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&amp;TRIAL_ID=DRKS00017328 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/17584


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 2013-2013
Author(s):  
Emilia R. Kaslow-Zieve ◽  
Carolyn L. Qian ◽  
Chinenye C. Azoba ◽  
Irene Wang ◽  
Emily E. Van Seventer ◽  
...  

2013 Background: Hospitalized patients with cancer often experience high symptom burden, which may impact their care satisfaction and use of health care services. Yet, studies describing these patients’ care satisfaction, symptom burden, and health care utilization are lacking. Methods: We prospectively enrolled patients with cancer and unplanned hospitalizations from 9/2014-4/2017. Upon admission, patients self-reported their care satisfaction (FAMCARE items asking about satisfaction regarding speed with which symptoms are treated and coordination of care) and physical (Edmonton Symptom Assessment System [ESAS]) and psychological (Patient Health Questionnaire 4 [PHQ4]) symptom burden. We used regression models to identify patient factors associated with care satisfaction. We also explored associations between patients’ care satisfaction, symptom burden, and hospital length of stay (LOS) in models adjusted for age, sex, marital status, comorbidity score, cancer type, cancer documented as curable/incurable, time since cancer diagnosis, and admission to a dedicated oncology service. Results: We enrolled 1,576 of 1,749 (90.1%) consecutive patients (mean age = 63.19±13.39 years, 46.3% female). Most reported being very satisfied/satisfied with the speed with which symptoms are treated (89.0%) and coordination of care (90.1%). Older age (B = 0.01, P < .02 for both) and admission to a dedicated oncology service (B = 0.20, P < .01 for both) were each independently associated with higher satisfaction with the speed with which symptoms are treated and coordination of care. Higher satisfaction with the speed with which symptoms are treated was associated with lower PHQ4 depression (B = -0.14, P = .01), PHQ4 anxiety (B = -0.11, P < .01), ESAS physical (B = -1.30, P < .01), and ESAS total (B = -2.44, P < .01) symptoms. Higher satisfaction with coordination of care was associated with lower PHQ4 depression (B = -0.14, P = .02), PHQ4 anxiety (B = -0.16, P < .01), ESAS physical (B = -1.30, P < .01), and ESAS total (B = -2.75, P < .01) symptoms. Satisfaction with the speed with which symptoms are treated (B = -0.47, P = .03) and coordination of care (B = -0.50, P = .03) were both associated with shorter hospital LOS. Conclusions: Most hospitalized patients with cancer reported high care satisfaction, which was associated with older age and admission to a dedicated oncology service. We found relationships among higher care satisfaction, lower symptom burden, and shorter hospital LOS, underscoring the importance of efforts to enhance symptom management and care coordination in this population.


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