Thresholds in PROMIS Scores Anchored to Subsequent Unscheduled Health Service Use Among People Diagnosed With Cancer.

PURPOSE: To establish thresholds in the Patient-Reported Outcomes Measurement Information System (PROMIS) pain interference, physical function, fatigue, and depression scores on the basis of their association with subsequent use of the emergency department (ED) or urgent care by people diagnosed with cancer. METHODS: Retrospective data from 952 people seen at Henry Ford Cancer and insured through the Health Alliance Plan were analyzed using generalized linear mixed-effects models. The log odds of ED or urgent care use during 14 or 30 days after each patient-reported outcome (PRO) assessment were related to PRO scores, while adjusting for comorbidity, sociodemographic, and tumor characteristics. RESULTS: Pain interference and physical function were associated with subsequent ED or urgent care visits, but fatigue and depression were not, and the results for 14- and 30-day visits were similar. Thresholds anchored in the likelihood of these visits differed according to cancer stage. For people with advanced cancer, a pain interference score of 60 or higher (odds ratio [OR] 3.75, [95% CI, 1.53 to 7.87]) and a physical function score lower than 40 (OR 2.94, [95% CI, 1.22 to 7.06]) produced the largest ORs with narrowest CIs for 30-day visits. For people with nonadvanced cancer, the thresholds of 65 for pain interference (OR 2.64, [95% CI, 1.40 to 5.01]) and 35 for physical function (OR 1.87, [95% CI, 1.01 to 3.45]) produced largest ORs with narrowest CIs for 30-day visits. CONCLUSION: These anchor-based thresholds in PROMIS scores can inform clinicians' actions with the goal of preventing ED or urgent care visits.

Racial Differences in Planned Hysterectomy Procedure Route.

Background: Hysterectomies can be performed with a minimally invasive surgical (MIS) approach or a laparotomic (abdominal) approach. The objective of this study was to assess any racial differences in the likelihood of having a planned MIS hysterectomy. Materials and Methods: A prospective cohort study of women undergoing hysterectomy at Henry Ford Health System was conducted where laparotomic and MIS approaches are available to all patients. All procedures were performed between October, 2015, and August, 2017. For this study, women were asked to report demographic and insurance information and complete validated questionnaires from 2 weeks before hysterectomy and up to six additional times in the year after hysterectomy. Clinical and operative characteristics were collected from electronic health records. Logistic regression and multinomial logistic regression models were applied to assess the association between race and the surgical approach. Results: Analyses included 235 White women and 196 Black women. Black women were less likely to have any MIS planned for their hysterectomy (odds ratio [OR] = 0.46, 95% confidence interval [CI] 0.3-0.71, p < 0.05), a laparoscopic hysterectomy (relative risk ratio [RRR] = 0.46, 95% CI 0.29-0.73, p < 0.05), or a vaginal hysterectomy (RRR = 0.45, 95% CI 0.25-0.81, p = 0.01) compared with White women. After adjusting for confounders, uterine weight and indication for surgery was fibroids, these racial differences did not remain statistically significant (MIS vs. abdominal [adjusted odds ratio {aOR} = 0.93, 95% CI 0.55-1.57, p = 0.79], laparoscopic vs. abdominal [adjusted relative risk ratio {aRRR} = 0.89, 95% CI 0.52-1.51, p = 0.54], and vaginal vs. abdominal [aRRR = 1.22, 95% CI 0.61-2.45, p = 0.58]). The associations were not confounded by the baseline survey data from standardized questionnaires on depression, financial distress, and satisfaction with their decision. Conclusions: Black women were not less likely than White women to have planned an MIS hysterectomy after controlling for important confounding variables. These results emphasize the importance of considering all important confounders when examining racial differences.

The Effects of Harm Events on 30-Day Readmission in Surgical Patients.

ABSTRACT: Readmission is an increasingly important focus for improvement regarding quality, value, and patient burden in our surgical patient population. We hypothesized that inpatient harm events increase the likelihood of readmission in surgical patients. We created a system-wide inpatient registry with 30-day readmission. A surgical subset was created, and harm events were tracked through the electronic health record system. Between 2015 and 2017, 37,048 surgical patient encounters met inclusion criterion. A total of 2,887 patients (7.69%) were readmitted. After multiple logistic regression of the highly significant harm measures, seven harm measures remained statistically significant (p < .05). Those with the three highest odds ratios were mucosal pressure ulcer, Clostridium difficile, and glucose <40. Incorporating harm measures to the traditional risk, predictive model for 30-day readmission improved our model performance (area under the ROC curve from 0.68 to 0.71). This study demonstrated that inpatient hospital-based harm events can be electronically monitored and used to predict 30-day readmission.

A Prospective Study of Patterns of Regret in the Year After Hysterectomy.

PURPOSE: This study sought to identify patterns of self-reported regret after hysterectomy. METHODS: Women undergoing hysterectomy for a benign indication were recruited in the 2 weeks prior to surgery. Women reported demographics and completed validated questionnaires (Decisional Regret Scale, Patient Health Questionnaire-9, Decisional Conflict Scale, and the Comprehensive Score for Financial Toxicity) up to 7 times over the first year postsurgery. Medical records were reviewed for clinical and operative details. Latent class growth mixture models were applied to the repeated regret scores to identify patterns after hysterectomy. Clinical and other participant characteristics were compared across the classes. RESULTS: Three latent classes were identified among the 459 participants (422 of whom completed questionnaires at 12 months): "High Regret" (7.4%), women with a high regret score at baseline that did not improve over time; "Decreasing Regret" (13.3%), women with high baseline levels of regret but whose regret scores improved over time; and "Least Regret" (79.3%), women with the lowest baseline regret scores that remained low after surgery. These classes did not vary with respect to indication for surgery, clinical characteristics, age, or body mass index. Disproportionately more African American women (adjusted odds ratio: 1.99, 95% CI: 1.01-3.9) were in the "Decreasing Regret" versus "Least Regret" classes. Baseline satisfaction varied between the classes, with the "Least Regret" group having higher baseline satisfaction with their decision. Women with "Decreasing Regret" reported worse financial toxicity associated with surgery versus women in the "Least Regret" class (adjusted odds ratio: 0.95, 95% CI: 0.92-0.99). CONCLUSIONS: For some women, decisional regret may worsen after hysterectomy. More often, initial regret lessens over time. Future studies that identify factors strongly associated with self-reported regret could lead to improved counseling about postsurgical expectations.

Healthcare Professionals Risk Assessments for Alert Overrides in High-Risk IV Infusions Using Simulated Scenarios.

This study aimed to use healthcare professionals' assessments to calculate expected risk of intravenous (IV) infusion harm for simulated high-risk medications that exceed soft limits and to investigate the impact of relevant risk factors. We designed 30 infusion scenarios for four high-risk medications, propofol, morphine, insulin, and heparin, infused in adult intensive care unit (AICU) and adult medical and surgical care unit (AMSU). A total of 20 pharmacists and 5 nurses provided their assessed expected risk of harm in each scenario. Descriptive statistics, analysis of variance with least square mean, and post hoc test were conducted to test the effects of field limit type, soft (SoftMax), and hard maximum drug limit types (HardMax), and care area-medication combination on risk of harm. The results showed that overdosing scenarios with continuous and bolus dose limit types were assessed with significantly higher risks than those of bolus dose rate type. An overdose infusion in AICU over a large SoftMax was assessed to be of higher risk than over a small one, but not in AMSU. For overdose infusions with three levels of drug amount, greater drug amount in AICU and AMSU was assessed to have higher risk, except insignificant risk difference between the infusions with higher and moderate drug amount in AMSU. This study obtained expected risk for simulated high-risk IV infusions and found that different field limit and SoftMax types can affect expected risk based on healthcare professionals' perspectives. The findings will be regarded as benchmarks for validating risk quantification models in future research.