Mechanisms of socioeconomic differences in COVID-19 screening and hospitalizations.

BACKGROUND: Social and ecological differences in early SARS-CoV-2 pandemic screening and outcomes have been documented, but the means by which these differences have arisen are not well understood. OBJECTIVE: To characterize socioeconomic and chronic disease-related mechanisms underlying these differences. DESIGN: Observational cohort study. SETTING: Outpatient and emergency care. PATIENTS: 12900 Cleveland Clinic Health System patients referred for SARS-CoV-2 testing between March 17 and April 15, 2020. INTERVENTIONS: Nasopharyngeal PCR test for SARS-CoV-2 infection. MEASUREMENTS: Test location (emergency department, ED, vs. outpatient care), COVID-19 symptoms, test positivity and hospitalization among positive cases. RESULTS: We identified six classes of symptoms, ranging in test positivity from 3.4% to 23%. Non-Hispanic Black race/ethnicity was disproportionately represented in the group with highest positivity rates. Non-Hispanic Black patients ranged from 1.81 [95% confidence interval: 0.91-3.59] times (at age 20) to 2.37 [1.54-3.65] times (at age 80) more likely to test positive for the SARS-CoV-2 virus than non-Hispanic White patients, while test positivity was not significantly different across the neighborhood income spectrum. Testing in the emergency department (OR: 5.4 [3.9, 7.5]) and cardiovascular disease (OR: 2.5 [1.7, 3.8]) were related to increased risk of hospitalization among the 1247 patients who tested positive. LIMITATIONS: Constraints on availability of test kits forced providers to selectively test for SARS-Cov-2. CONCLUSION: Non-Hispanic Black patients and patients from low-income neighborhoods tended toward more severe and prolonged symptom profiles and increased comorbidity burden. These factors were associated with higher rates of testing in the ED. Non-Hispanic Black patients also had higher test positivity rates.

A Scoping Review of Medications Studied in Pediatric Polypharmacy Research.

PURPOSE: The purpose of this study is to describe medications most commonly studied in pediatric polypharmacy research by pharmacologic classes and disease using a scoping review methodology. METHODS: A search of electronic databases was conducted in July 2019 that included Ovid Medline, PubMed, Elsevier Embase, and EBSCO CINAHL. Primary observational studies were selected if they evaluated polypharmacy as an aim, outcome, predictor, or covariate in children 0-21 years of age. Studies not differentiating between adults and children or those not written in English were excluded. Study characteristics, pharmacologic categories, medication classes, and medications were extracted from the included studies. RESULTS: The search identified 8790 titles and after de-duplicating and full-text screening, 414 studies were extracted for the primary data. Regarding global pharmacologic categories, central nervous system (CNS) agents were most studied (n = 185, 44.9%). The most reported pharmacologic category was the anticonvulsants (n = 250, 60.4%), with valproic acid (n = 129), carbamazepine (n = 123), phenobarbital (n = 87), and phenytoin (n = 83) being the medications most commonly studied. In studies that reported medication classes (n = 105), serotonin reuptake inhibitors (n = 32, 30.5%), CNS stimulants (n = 30, 28.6%), and mood stabilizers (n = 27, 25.7%) were the most studied medication classes. CONCLUSION: While characterizing the literature on pediatric polypharmacy in terms of the types of medication studied, we further identified substantive gaps within this literature outside of epilepsy and psychiatric disorders. Medications frequently identified in use of polypharmacy for treatment of epilepsy and psychiatric disorders reveal opportunities for enhanced medication management in pediatric patients.

Variation of the prevalence of pediatric polypharmacy: A scoping review.

PURPOSE: To examine the range of prevalence of pediatric polypharmacy in literature through a scoping review, focusing on factors that contribute to its heterogeneity in order to improve the design and reporting of quality improvement, pharmacovigilance, and research studies. METHODS: We searched Ovid Medline, PubMed, EMBASE, CINAHL, Ovid PsycINFO, Cochrane CENTRAL, and Web of Science Core Collection databases for studies with concepts of children and polypharmacy, along with a hand search of the bibliographies of six reviews and 30 included studies. We extracted information regarding study design, disease conditions, and prevalence of polypharmacy. RESULTS: Two hundred eighty-four studies reported prevalence of polypharmacy. They were more likely to be conducted in North America (37.7%), published after 2010 (44.4%), cross-sectional (67.3%), in outpatient settings (59.5%). Prevalence ranged from 0.9% to 98.4%, median 39.7% (interquartile range [IQR] 22.0%-54.0%). Studies from Asia reported the highest median prevalence of 45.4% (IQR 27.3%-61.0%) while studies from North America reported the lowest median prevalence of 30.4% (IQR 14.7%-50.2%). Prevalence decreased over time: median 45.6% before 2001, 38.1% during 2001 to 2010, and 34% during 2011 to 2017. Studies involving children under 12 years had a higher median prevalence (46.9%) than adolescent studies (33.7%). Inpatient setting studies had a higher median prevalence (50.3%) than studies in outpatient settings (38.8%). Community level samples, higher number and duration of medications defining polypharmacy, and psychotropic medications were associated with lower prevalence. CONCLUSIONS: The prevalence of pediatric polypharmacy is high and variable. Studies reporting pediatric polypharmacy should account for context, design, polypharmacy definition, and medications evaluated.

Practice Variation Among Hospitals in Revascularization Therapy and Its Association With Procedure-related Mortality.

BACKGROUND: While substantial practice variation in coronary revascularization has been described and deviation from clinical practice guidelines has been associated with worse outcomes, the degree to which this is driven by flawed decision making and/or appropriate deviation associated with comorbid conditions is unknown. We evaluated heterogeneity in procedure use, and the extent to which hospital-level practice variation is related to surgical mortality. METHODS: We analyzed data on 554,563 inpatients undergoing either percutaneous coronary intervention or coronary artery bypass grafting at 391 centers in 6 states. Procedure-specific risk models were developed based on demographics and comorbidities, allowing for differential effects of comorbidities for each sex. For each patient, the revascularization procedure that minimized predicted probability of inhospital mortality was designated as the model-preferred procedure.Hospital-level discordance rates-the proportion of cases in each hospital for which the opposite from the model-preferred procedure was performed-were calculated. Hierarchical linear models were used to analyze the relationship between HDRs and hospital-level risk-standardized mortality ratios (RSMRs). RESULTS: Comorbidities and demographics alone explained between 68% and 86% of overall variation in inhospital mortality (corresponding C-statistics of 0.84-0.93). The mean (SD) HDR was 26.3% (9.6%). There was a positive independent association between HDRs and inhospital mortality, with a 10% increase in HDR associated with an 11% increase in RSMR (P<0.001). CONCLUSIONS: Variance in procedure use according to model preference was strongly associated with worse outcomes. A systematic approach to incorporating comorbidity as part of the decision-making process for coronary revascularization is needed.

Empirical Treatment Effectiveness Models for Binary Outcomes.

Randomized trials provide strong evidence regarding efficacy of interventions but are limited in their capacity to address potential heterogeneity in effectiveness within broad clinical populations. For example, a treatment that on average is superior may be distinctly worse in certain patients. We propose a technique for using large electronic health registries to develop and validate decision models that measure-for distinct combinations of covariate values-the difference in predicted outcomes among 2 alternative treatments. We demonstrate the methodology in a prototype analysis of in-hospital mortality under alternative revascularization treatments. First, we developed prediction models for a binary outcome of interest for each treatment. Decision criteria were then defined based on the treatment-specific model predictions. Patients were then classified as receiving concordant or discordant care (in relation to the model recommendation), and the association between discordance and outcomes was evaluated. We then present alternative decision criteria and validation methodologies, as well as sensitivity analyses that investigate 1) the imbalance between treatments on observed covariates and 2) the aggregate impact of unobserved covariates. Our methodology supplements population-average clinical trial results by modeling heterogeneity in outcomes according to specific covariate values. It thus allows for assessment of current practice, from which cogent hypotheses for improved care can be derived. Newly emerging large population registries will allow for accurate predictions of outcome risk under competing treatments, as complex functions of predictor variables. Whether or not the models might be used to inform decision making depends on the extent to which important predictors are available. Further work is needed to understand the strengths and limitations of this approach, particularly in relation to those based on randomized trials.

The oncology acuity tool: a reliable, valid method for measuring patient acuity for nurse assignment decisions.

BACKGROUND AND PURPOSE: Matching nurse assignments with patient acuity has critical implications for providing safe, effective, and efficient care. Despite this, we lack well-established methods for accurate assessment of acuity. This study aimed to evaluate the reliability and validity of the Oncology Acuity Tool (OAT), which is used for determining nurse assignments. METHODS: Inter-rater reliability and concurrent validity were assessed via surveys of current users of the tool. Content validity data were collected from expert oncology nurses. Predictive validity was assessed by tracking patients who sustained either of two acute events. RESULTS: Findings included high inter-rater reliability, moderately strong concurrent validity, and moderate content validity. Acuity significantly predicted rapid response team consults but not falls. CONCLUSIONS: The OAT demonstrated sufficient reliability and validity for measuring acuity prospectively in this population.

Patterns of adaptation in patients living long term with advanced cancer.

BACKGROUND: With improved treatment, increasing proportions of patients with advanced cancer are surviving longer with their disease: into a second year after diagnosis and beyond. These longer term survivors face continuing challenges in selecting and shifting personal life goals and goals of care over years (rather than months) of life with incurable cancer. Studies are needed to explore adaptation over time in patients who are living longer term with late-stage cancer, including anxiety, depression, and spiritual well being, which are conceptualized as indicators of psychospiritual well being in patients with advanced cancer. METHODS: Psychospiritual well being and adaptation were explored in a study of middle-aged and older patients with advanced cancer (N=142) who survived into a second year after diagnosis and were assessed in interviews across 4 time points. Examining patterns of adaptation over time called for in depth analytical techniques to identify variation in key outcome trajectories. General growth mixture modeling was used to explore heterogeneity in adaptation using a multivariate parallel model of anxiety, depression. and spiritual well being. RESULTS: Modeling revealed 3 distinct group trajectories of psychospiritual well being and adaptation (low-worsening, moderate-improving, and high-stable). Age and education were correlated with group membership. Advanced cancer survivors who were older and had more years of education were more likely to be members of the high-stable group in psychospiritual adaptation throughout the study. CONCLUSIONS: The current findings suggested that psychospiritual adaptation, as measured in this study, is not uniform but is characterized by heterogeneous trajectories. The results contribute to the development of better hypotheses regarding the processes of adaptation in longer term survivors with advanced cancer and to the identification of potential subgroups at greatest risk for poor outcomes.

Patient age, well-being, perspectives, and care practices in the early treatment phase for late-stage cancer.

BACKGROUND: Among advanced-stage cancer patients, age is an important determinant of decision making about medical care. We examined age-related differences in patient well-being, care perspectives, and preferences, and the relationship between these patient characteristics and subsequent care practices including care communication, pain management, and acute care utilization during the early treatment phase of late-stage cancer. METHODS: Patient demographics, well-being, and care perspectives were assessed during patient and physician baseline interviews. Care practices were measured using outpatient and inpatient records for the 30-day period after baseline assessment. Multivariate regression models were used to examine the patterns of association of age and other patient characteristics with care practices. RESULTS: A total of 174 middle-aged and 149 older patients with recently diagnosed late-stage cancer were included. Older patients had more comorbidities but lower levels of depression, anxiety, and symptom distress. Older patients preferred pain relief/comfort as a treatment goal, but received fewer prescriptions for opioids. Whereas provider-initiated communication with patients/families was positively associated with severity of illness, patient/family-initiated communication was associated with patient psychosocial attributes and care perspectives. Satisfaction with care was inversely associated with reports of pain. Symptom distress was positively associated with subsequent opioid prescriptions and hospitalizations. CONCLUSIONS: Our results help to explain the role of patients' psychosocial attributes, care perspectives, and preferences in subsequent care practices during the early treatment phase for late-stage cancer. Age-related differences in patient well-being and care perspectives suggest a role for age-sensitive interventions in the treatment of advanced cancer patients.

Perspectives, preferences, care practices, and outcomes among older and middle-aged patients with late-stage cancer.

PURPOSE: To evaluate relationships among physician and cancer patient survival estimates, patients' perceived quality of life, care preferences, and outcomes, and how they vary across middle-aged and older patient groups. PATIENTS AND METHODS: Subjects were from the Study to Understand Prognoses and Preferences for Risks of Treatments (SUPPORT) prospective cohort studied in five US teaching hospitals (from 1989 to 1994), and included 720 middle-aged (45 to 64 years) and 696 older (> or = 65 years) patients receiving care for advanced cancer. Perspectives were assessed in physician and patient/surrogate interviews; care practices and outcomes were determined from hospital records and the National Death Index. General linear models were used within age groups to obtain adjusted estimates. RESULTS: Although most patients had treatment goals to relieve pain, treatment preferences and care practices were linked only in the older group. For older patients, preference for life-extending treatment was associated with more therapeutic interventions and more documented discussions; cardiopulmonary resuscitation (CPR) preference was linked to more therapeutic interventions and longer survival. For middle-aged patients, better perceived quality of life was associated with preferring CPR. In both groups, patients' higher survival estimates were associated with preferences for life-prolonging treatment and CPR; physicians' higher survival estimates were associated with patients' preferences for CPR, fewer documented treatment limitation discussions about care, and actual 6-month survival. More discussions were associated with readmissions and earlier death. More aggressive care was not related to outcomes. CONCLUSION: Fewer older patients preferred CPR or life-prolonging treatments. Although older patients' goals for aggressive treatment were related to care, this was not so for middle-aged patients. Aggressive care was not related to prolonged life in either group.

Variability in emergency physician decision making about prescribing opioid analgesics.

STUDY OBJECTIVE: The purpose of this study is to determine what factors influence emergency physicians' decisions to prescribe an opioid analgesic for 3 common, painful conditions. METHODS: We developed items thought to influence the decision to prescribe an opioid analgesic through a review of the literature, expert consultation, and interviews with practicing emergency physicians. We developed a baseline vignette and items expected to influence the decision for each of the 3 conditions: migraine, back pain, and ankle fracture. We surveyed 650 physicians randomly selected from the American College of Emergency Physicians. The influence of individual items was explored through a univariate analysis of the response distribution. Patterns were assessed by analytically creating scales. RESULTS: We received responses from 398 (63%) of the 634 eligible physicians. Physicians' likelihoods of prescribing an opioid showed marked variability, with at least 10% of physicians saying they were unlikely and 10% of physicians saying they were likely to prescribe for each condition. Physician responses to individual pieces of clinical information, such as the patient requesting "something strong" for the pain, were also highly variable, with at least 10% of physicians saying they would be negatively influenced by this request and at least 10% saying they would be positively influenced by it. CONCLUSION: Even when faced with identical case scenarios, physicians' decisions to prescribe opioid analgesics are highly variable. Moreover, the same clinical information, such as a patient requesting a strong analgesic, changes the likelihood of prescribing opioids in opposite directions for different physicians.