Past Healthcare Utilization Research Articles

Predicting Hospital Readmission in Medicaid Patients With COPD Using Administrative and Claims Data.

The goals of this study were to develop a model that predicts the risk of 30-d all-cause readmission in hospitalized Medicaid patients diagnosed with COPD and to create a predictive model in a retrospective study of a population cohort. We analyzed 2016-2019 Medicaid claims data from 7 United States states. A COPD admission was one in which either the admission diagnosis or the first or second clinical (discharge) diagnosis bore an International Classification of Diseases, Tenth Revision code for COPD. A readmission was an admission for any condition (not necessarily COPD) that occurred within 30 d of a COPD discharge. We estimated a mixed-effects logistic model to predict 30-d readmission from patient demographic data, comorbidities, past health care utilization, and features of the index hospitalization. We evaluated model fit graphically and measured predictive accuracy by the area under the receiver operating characteristic (ROC) curve. Among 12,283 COPD hospitalizations contributed by 9,437 subjects, 2,534 (20.6%) were 30-d readmissions. The final model included demographics, comorbidities, claims history, admission and discharge variables, length of stay, and seasons of admission and discharge. The observed versus predicted plot showed reasonable fit, and the estimated area under the ROC curve of 0.702 was robust in sensitivity analyses. Our model identified with acceptable accuracy hospitalized Medicaid patients with a diagnosis of COPD who are at high risk of readmission. One can use the model to develop post-discharge management interventions for reducing readmissions, for adjusting comparisons of readmission rates between sites/providers or over time, and to guide a patient-centered approach to patient care.

Self-care, symptom experience, needs, and past health-care utilization in individuals with heart failure: results of a cross-sectional study

Self-care in heart failure (HF) is generally sub-optimal and impacts morbidity and mortality. To describe self-care prevalence and explore its relationships with symptom experience, patient needs, and health-care utilization in a Swiss hospital providing regional secondary care. Cross-sectional study, convenience sample of individuals with HF from four campuses of one regional Swiss hospital. Self-care was assessed via the Self-Care of Heart Failure Index (SCHFI) and the European Heart Failure Self-care Behaviour Scale (EHFScBS), symptom experience via the M.D. Anderson Symptom Inventory-HF (MDASI-HF) and needs via the Heart Failure Needs Assessment Questionnaire (HFNAQ). Healthcare utilization reflected the preceding year's hospitalization incidence. A cut-off level of ≥70% indicated adequate self-care. We analysed SCHFI, EHFScBS, MDASI-HF and HFNAQ scores' relationships with hospitalizations using Spearman's rho correlation; no prior hypotheses were stated. Sample of 310 individuals with HF (37.4% female; mean age 76.8; 55% NYHA III). Adequate self-care maintenance, management, and confidence were reported by 24%, 10%, and 61%. respectively. The sample's mean number of experienced symptoms was 12.8 (SD 4.0) and 14.0 (SD 5.8) for needs. Over the previous year, 269 hospitalizations had occurred (median: 0, IQR 1). Hospitalizations positively correlated with self-care; symptom experience with needs. Neither symptom experience nor needs correlated with hospitalizations. The findings indicated low self-care levels and suggest a need for increased support to maintain physiological stability, manage symptoms and prevent hospitalizations. This study is the first of its kind in Switzerland and among few studies worldwide to report on self-care, symptom experience, needs, and health-care utilization. Interventional studies are warranted considering baseline self-care capabilities, symptoms, and needs of individuals with HF.

Prediction of 7-Day Readmission Risk for Pediatric Trauma Patients

BackgroundPediatric patients admitted for trauma may have unique risk factors of unplanned readmission and require condition-specific models to maximize accuracy of prediction. We used a multicenter data set on trauma admissions to study risk factors and predict unplanned 7-day readmissions with comparison to the 30-day metric. MethodsData from 28 hospitals in the United States consisting of 82,532 patients (95,158 encounters) were retrieved, and 75% of the data were used for building a random intercept, mixed-effects regression model, whereas the remaining were used for evaluating model performance. The variables included were demographics, payer, current and past health care utilization, trauma-related and other diagnoses, medications, and surgical procedures. ResultsCertain conditions such as poisoning and medical/surgical complications during treatment of traumatic injuries are associated with increased odds of unplanned readmission. Conversely, trauma-related conditions, such as trauma to the thorax, knee, lower leg, hip/thigh, elbow/forearm, and shoulder/upper arm, are associated with reduced odds of readmission. Additional predictors include the current and past health care utilization and the number of medications. The corresponding 7-day model achieved an area under the receiver operator characteristic curve of 0.737 (0.716, 0.757) on an independent test set and shared similar risk factors with the 30-day version. ConclusionsPatients with trauma-related conditions have risk of readmission modified by the type of trauma. As a result, additional quality of care measures may be required for patients with trauma-related conditions that elevate their risk of readmission.

Predicting 30-Day Readmissions in an Asian Population: Building a Predictive Model by Incorporating Markers of Hospitalization Severity.

BackgroundTo reduce readmissions, it may be cost-effective to consider risk stratification, with targeting intervention programs to patients at high risk of readmissions. In this study, we aimed to derive and validate a prediction model including several novel markers of hospitalization severity, and compare the model with the LACE index (Length of stay, Acuity of admission, Charlson comorbidity index, Emergency department visits in past 6 months), an established risk stratification tool.MethodThis was a retrospective cohort study of all patients ≥ 21 years of age, who were admitted to a tertiary hospital in Singapore from January 1, 2013 through May 31, 2015. Data were extracted from the hospital’s electronic health records. The outcome was defined as unplanned readmissions within 30 days of discharge from the index hospitalization. Candidate predictive variables were broadly grouped into five categories: Patient demographics, social determinants of health, past healthcare utilization, medical comorbidities, and markers of hospitalization severity. Multivariable logistic regression was used to predict the outcome, and receiver operating characteristic analysis was performed to compare our model with the LACE index.Results74,102 cases were enrolled for analysis. Of these, 11,492 patient cases (15.5%) were readmitted within 30 days of discharge. A total of fifteen predictive variables were strongly associated with the risk of 30-day readmissions, including number of emergency department visits in the past 6 months, Charlson Comorbidity Index, markers of hospitalization severity such as ‘requiring inpatient dialysis during index admission, and ‘treatment with intravenous furosemide 40 milligrams or more’ during index admission. Our predictive model outperformed the LACE index by achieving larger area under the curve values: 0.78 (95% confidence interval [CI]: 0.77–0.79) versus 0.70 (95% CI: 0.69–0.71).ConclusionSeveral factors are important for the risk of 30-day readmissions, including proxy markers of hospitalization severity.

P110: Relapse in patients managed in the emergency department for acute asthma: a systematic review

Introduction: Despite the provision of evidence-based care, approximately 15% of patients discharged from the emergency department (ED) after being treated for asthma exacerbations will relapse within two weeks. This study summarizes the evidence regarding relapses and factors associated with increased relapse in patients discharged from EDs after being treated for asthma exacerbations. Methods: Comprehensive literature searches were conducted in seven electronic databases; manual and grey literature searches were performed. Studies tracking outcomes for adults after ED management and discharge were included. Methodological quality was assessed using the Newcastle-Ottawa Scale (NOS) and the Risk of Bias (RoB) tools. Studies were summarized using medians and interquartile ranges (IQR) or mean and standard deviation (±SD), as appropriate. Results: From 793 potentially relevant citations, 178 articles underwent full text review and 10 studies involving 32,923 patients were included. The majority of the studies were of high quality according to NOS and RoB tools. Relapse proportions were 8±3%, 12±4%, and 14±6% at one, two, and four weeks, respectively. Female sex was the most common statistically significant reported factor associated with an increased risk of relapse within 4 weeks of ED discharge for acute asthma. Other factors significantly associated with relapse were past healthcare utilization and symptom duration. Conclusion: After ED management and discharge of acute asthma, a considerable proportion of patients will relapse within the first four weeks. Factors such as female sex, past healthcare utilization, and symptom duration were commonly and significantly associated with relapse occurrence. Identifying patients with these features could provide guidance to clinicians during the ED-discharge decision-making.

Setting up a regional health system database for seamless population health management in Singapore

Objective: Understanding the health and health service utilization of the population is critical for Regional Health System’s (RHS) population health management (PHM) initiatives in Singapore. The RHS database is a collaborative effort toward developing a national architecture for healthcare utilization data across diverse clinical systems with disparate data models. This manuscript describes the setup of an RHS database which would facilitate big data analytics for proactive population health management and health services research. Materials and methods: The RHS database is a conglomeration of four isolated databases from the three RHSs. It contains linked National Healthcare Group (NHG) polyclinic visit records, specialist outpatient clinic visit records, hospital discharge records from Tan Tock Seng Hospital (TTSH), National University Hospital (NUH) and Alexandra Hospital (AH), chronic disease management system (CDMS) records and mortality records from local registries. The data linkage process was conducted using the unique identification number (NRIC) as the linking variable. The final anonymized database has multiple interconnected tables that includes patient demographics, chronic disease and healthcare utilization information. Results: Over 2.8 million patients had contact with the three RHSs from 2008 to 2013. The database facilitated risk stratification of patients based on their past healthcare utilization and chronic disease information. This database aids in understanding the cross-utilization of healthcare services across the three RHSs and can help address the challenges of setting up a distinct geographical boundary for individual RHSs. Conclusions: The RHS database has been established with the intention to support the secondary use of administrative health data in health services research and proactive PHM in Singapore.

Factors Associated With Healthcare Utilization Among Children With Noncardiac Chest Pain and Innocent Heart Murmurs

To examine differences in factors related to health care utilization (HCU) among children eventually diagnosed with noncardiac chest pain (NCCP) or an innocent heart murmur (IHM). 67 pediatric patients with NCCP and 62 with IHM and their parent/guardian completed paper-and-pencil measures of psychological functioning and past HCU during an initial visit to the cardiologist's office. Children with NCCP utilized significantly more health care services compared to their IHM counterparts in the year prior to their cardiology visit. Children in the NCCP group had higher internalizing and somatic symptoms, and their parents experienced more anxious symptoms, than those in the IHM group. For the NCCP group only, child and parent psychological symptoms and parent HCU were positively related to child HCU. Results identify possible child and parent psychological factors that may be the focus of interventions to reduce high rates of HCU among children with NCCP.

Pain Prevalence and Risk Distribution Among Inpatients in a German Teaching Hospital

This study was designed to provide a cross-sectional analysis of pain prevalence, chronicity, and severity as well as the impact of pain on psychological and social variables in inpatients in various departments of a German teaching hospital. Patients were asked to complete a questionnaire including sections on sociodemographic and socioeconomic data, pain variables, recent and past health care utilization, and screening questionnaires for depression, anxiety, and health-related quality of life. Of the 438 patients, 386 (88.1%) had experienced pain in the past 12 months; 367 (83.8%) reported having pain in the previous 3 months. Sixty-four percent of the pain patients stated that pain was the main reason for hospital admission; 48% reported having three or more pain sites. The most common location of pain was the back (26.9%). Pain patients showed significantly higher depression and anxiety scores and markedly reduced physical health when compared to non-pain patients. The results of this study indicate that in most medical disciplines pain is more than merely a symptom of disease. In many instances pain should be considered a serious comorbidity that can influence the outcome of medical and surgical treatment. Recent research has shown that prevention of the pain chronification process is the most promising strategy for avoiding the development of intractable pain. Acceptance, recognition, and assessment of pain as a risk factor at an early stage are essential factors. A first step might involve routine screening for pain on admission to any hospital facility, and subsequently evaluating the impact of pain on biopsychosocial functions.

Sexually Active Students' Willingness to Use School-Based Health Centers for Reproductive Health Care Services in North Carolina

School-based health centers (SBHCs) in North Carolina offer limited reproductive health care services. We investigate sexually active students' willingness to seek these services at SBHCs if available and predictors of willingness to seek services. Cross-sectional survey of 949 sexually experienced students in 2 middle and 5 high schools in North Carolina in 1994. Bivariate and multivariate analyses tested the influence of sociodemographic characteristics, risk of pregnancy/sexually transmitted infections (STIs), and past health care utilization on willingness to use SBHCs for sexuality-related services. Participants were 52% female, 52% black, and median age at first coitus was 13.0 years. Many (49%) had sex at least once a month. Most (52%) reported inconsistent contraception use. One-fifth (18%) of females had been pregnant; 10% of males reported getting a partner pregnant. Seventy-five percent had used SBHCs. Most reported they would use SBHCs for information to protect against pregnancy and STIs (58%), pregnancy testing (51%), and birth control (48%) if available. Females were more likely than males to report they would use these services (adjusted odds ratio = 3.4, 95% confidence interval = 1.9-6.7), especially those receiving free lunch (adjusted odds ratio = 2.9, 95% confidence interval = 1.2-6.8]) and those with inconsistent use of contraception. We found no association between past health care and willingness to use SBHC services. Most sexually experienced students report they would use their SBHC for reproductive/STI services if they were available. Absence of these services in SBHCs represents a missed opportunity to provide health care to adolescents who are at substantial risk of pregnancy and STIs.