Predicting Opioid Use Following Discharge After Cesarean Delivery.

PURPOSE: Although cesarean delivery is the most common surgical procedure in the United States, postoperative opioid prescribing varies greatly. We hypothesized that patient characteristics, procedural characteristics, or both would be associated with high vs low opioid use after discharge. This information could help individualize prescriptions. METHODS: In this prospective cohort study, we quantified opioid use for 4 weeks following hospital discharge after cesarean delivery. Predischarge characteristics were obtained from health records, and patients self-reported total opioid use postdischarge on weekly questionnaires. Opioid use was quantified in milligram morphine equivalents (MMEs). Binomial and Poisson regression analyses were performed to assess predictors of opioid use after discharge. RESULTS: Of the 233 patients starting the study, 203 (87.1%) completed at least 1 questionnaire and were included in analyses (86.3% completed all 4 questionnaires). A total of 113 patients were high users (>75 MMEs) and 90 patients were low users (≤75 MMEs) of opioids postdischarge. The group reporting low opioid use received on average 44% fewer opioids in the 24 hours before discharge compared with the group reporting high opioid use (mean = 33.0 vs 59.3 MMEs, P <.001). Only a minority of patients (11.4% to 15.8%) stored leftover opioids in a locked location, and just 31 patients disposed of leftover opioids. CONCLUSIONS: Knowledge of predischarge opioid use can be useful as a tool to inform individualized opioid prescriptions, help optimize nonopioid analgesia, and reduce opioid use. Additional studies are needed to evaluate the impact of implementing such measures on prescribing practices, pain, and functional outcomes.

Opioid and non-opioid utilization at home following gastrointestinal procedures: a prospective cohort study.

BACKGROUND: Overprescribing of opioid medications for patients to be used at home after surgery is common. We sought to ascertain important patient and procedural characteristics that are associated with low versus high rates of self-reported utilization of opioids at home, 1-4 weeks after discharge following gastrointestinal surgery. METHODS: We developed a survey consisting of questions from NIH PROMIS tools for pain intensity/interference and queries on postoperative analgesic use. Adult patients completed the survey weekly during the first month after discharge. Using regression procedures we determined the patient and procedure characteristics that predicted high post-discharge opioid use operationalized as 75 mg oral morphine equivalents/50 mg oxycodone reported taken. RESULTS: The survey response rate was 86% (201/233). High opioid use was reported by 52.7% of patients (106/201). Median reported intake of opioid pain pills was 7 for week #1 and 0 for weeks #2-4. Combinations of acetaminophen and non-steroidal and anti-inflammatory drugs were used by 8.9%-12.5% of patients after discharge. Following adjustment for significant variables of the univariate analysis, last 24-h in-hospital opioid intake remained as a significant co-variate for post-discharge opioid intake. CONCLUSIONS: After gastrointestinal surgery, the equivalent of each oxycodone 5 mg tablet taken in the last 24 h before discharge increases the likelihood of taking the equivalent of > 10 oxycodone 5 mg tablets by 5%. Non-opioid analgesia was utilized in less than half of the cases. Maximizing non-opioid analgesic therapy and basing opioid prescriptions on 24-h pre-discharge opioid intake may improve the quality of post-discharge pain management.

The effect of executive function on adherence with a cardiac secondary prevention program and its interaction with an incentive-based intervention.

Participation in secondary prevention programs such as cardiac rehabilitation (CR) reduces morbidity, mortality, and hospitalizations while improving quality of life. Executive function (EF) is a complex set of cognitive abilities that control and regulate behavior. EF predicts many health-related behaviors, but how EF interacts with interventions to improve treatment adherence is not well understood. The objective of this study is to examine if EF predicts CR treatment adherence and how EF interacts with an intervention to improve adherence. Data were collected from 2013 to 2018 in Vermont, USA. 130 Medicaid-enrolled individuals who had experienced a qualifying cardiac event were enrolled in a controlled clinical trial and randomized 1:1 to receive financial incentives for completing secondary prevention sessions or to usual care. In this secondary analysis, effects of EF on CR adherence (defined as completing ≥30/36 sessions) were examined in 112 participants (57 usual care, 55 intervention) who completed an EF battery. Delay-discounting, a measure of impulsivity, predicted CR adherence (p = 0.01) and interacted with the incentive intervention, such that those who exhibited greater discounting of future rewards benefitted more from the intervention than those who discounted less (F(1, 104) = 5.23, p = 0.02). Better cognitive flexibility, measured with the trail-making-task, also predicted CR adherence (p = 0.02). While EF has been associated with adherence to a variety of treatment regimens, this interaction between an incentive-based intervention to promote treatment adherence and EF is novel. This work illustrates the value of considering individual differences in EF when designing and implementing interventions to promote health-related behavior change.

Self-Reported Executive Function in Hospitalized Cardiac Patients and Associations With Patient Characteristics and Cardiac Rehabilitation Attendance.

PURPOSE: Executive function (ExF), the ability to do complex cognitive tasks like planning and refraining from impulsive behavior, is associated with compliance with medical recommendations. The present study identified associations between self-reported ExF and demographics of patients with cardiac disease as well as with cardiac rehabilitation (CR) attendance. METHODS: Self-reported ExF impairment was measured using the Behavior Rating Inventory of Executive Function (BRIEF) on 316 individuals hospitalized for CR-qualifying cardiac events. Scores were calculated for a global measure (Global Executive Composite [GEC]) and the two BRIEF indices: Behavioral Regulation Index and Metacognition Index (MCI). Participants were followed up post-discharge to determine CR attendance. Univariate logistic regressions between ExF measures and demographic variables were conducted, as were multiple logistic regressions to identify significant, independent predictors. Analyses were conducted using clinical (T scores ≥ 65) and subclinical (T scores ≥ 60) criteria for significant ExF impairment as outcomes. One-way analyses of variance were performed between ExF impairment and CR attendance. RESULTS: Self-reported ExF deficits were relatively rare; 8.9% had at least subclinical scores on the GEC. Using the subclinical criterion for the MCI, having diabetes mellitus (DM) and being male were significant, independent predictors of MCI impairment. No significant relationship was found between ExF and CR attendance. CONCLUSION: Using the subclinical criterion only, individuals with DM and males were significantly more likely to have MCI impairment. No significant effect of ExF impairment on CR attendance was found, suggesting that self-reported ExF measured in the hospital may not be an appropriate measure for predicting behavioral outcomes.

Cognition and Exercise: GENERAL OVERVIEW AND IMPLICATIONS FOR CARDIAC REHABILITATION.

Performance of endurance exercise is associated with a broad range of cognitive benefits, with notable improvements shown across a wide variety of populations including healthy populations as well as those with impaired cognition. By examining the effects of exercise in general populations, as well in populations where cognitive deficits are pronounced, and critical to self-care, we can learn more about using exercise to ameliorate cognitive issues and apply that knowledge to other patient populations, such as those eligible for cardiac rehabilitation (CR). Cognitive challenges are a concern within CR, as management of a chronic disease is cognitively taxing, and, as expected, deficits in cognition predict worse outcomes, including lower attendance at CR. Some subsets of patients within CR may be particularly at high risk for cognitive challenges including those with heart failure with low ejection fraction, recent coronary bypass surgery, multiple chronic conditions, and patients of lower socioeconomic status. Attendance at CR is associated with cognitive gains, likely through the progressive exercise component, with larger amounts of exercise over longer periods having greater benefits. Programs should identify at-risk patients, who could gain the most from completing CR, and provide additional support to keep those patients engaged. While engaged in CR, patients should be encouraged to exercise, at least at moderate intensity, and transitioned to a long-term exercise regimen. Overall, CR programs are well-positioned to support these patients and make significant contributions to their long-term well-being.

Financial Analysis of Cardiac Rehabilitation and the Impact of COVID-19.

PURPOSE: Provision of phase 2 cardiac rehabilitation (CR) has been directly impacted by coronavirus disease-19 (COVID-19). Economic analyses to date have not identified the financial implications of pandemic-related changes to CR. The aim of this study was to compare the costs and reimbursements of CR between two periods: (1) pre-COVID-19 and (2) during the COVID-19 pandemic. METHODS: Health care costs of providing CR were calculated using a microcosting approach. Unit costs of CR were based on staff time, consumables, and overhead costs. Reimbursement rates were derived from commercial and public health insurance. The mean cost and reimbursement/participant were calculated. Staff and participant COVID-19 infections were also examined. RESULTS: The mean number of CR participants enrolled/mo declined during the pandemic (-10%; 33.8 ± 2.0 vs 30.5 ± 3.2, P = .39), the mean cost/participant increased marginally (+13%; $2897 ± $131 vs $3265 ± $149, P = .09), and the mean reimbursement/participant decreased slightly (-4%; $2959 ± $224 vs $2844 ± $181, P = .70). However, these differences did not reach statistical significance. The pre-COVID mean operating surplus/participant ($62 ± $140) eroded into a deficit of -$421 ± $170/participant during the pandemic. No known COVID-19 infections occurred among the 183 participants and 14 on-site staff members during the pandemic period. CONCLUSIONS: COVID-19-related safety protocols required CR programs to modify service delivery. Results demonstrate that it was possible to safely maintain this critically important service; however, CR program costs exceeded revenues. The challenge going forward is to optimize CR service delivery to increase participation and achieve financial solvency.

Postdischarge Pain Management After Thoracic Surgery: A Patient-Centered Approach.

BACKGROUND: Postoperative analgesia is paramount to recovery after thoracic surgery, and opioids play an invaluable role in this process. However, current 1-size-fits-all prescribing practices produce large quantities of unused opioids, thereby increasing the risk of nonmedical use and overdose. This study hypothesized that patient and perioperative characteristics, including 24-hour before-discharge opioid intake, could inform more appropriate postdischarge prescriptions after thoracic surgery. METHODS: This prospective observational cohort study was conducted in 200 adult thoracic surgical patients. The cohort was divided into 3 groups on the basis of 24-hour before-discharge opioid intake in morphine milligram equivalents (MME): (1) no (0 MME), (2) low (>0 to ≤22.5 MME), or (3) high (>22.5 MME) before-discharge opioid intake. Logistic regression was used to analyze the association of patient and perioperative characteristics with self-reported after-discharge opioid use. RESULTS: Univariate analysis showed that preoperative opioid use, 24-hour before-discharge acetaminophen and gabapentinoid intake, and 24-hour before-discharge opioid intake were associated with higher after-discharge opioid use. Multivariable modeling demonstrated that 24-hour before-discharge opioid intake was most significantly associated with after-discharge opioid use. For example, compared with patients who took high amounts of opioids before discharge, patients who took no opioids before discharge were 99% less likely to take a high amount of opioids after discharge compared with taking none (odds ratio, 0.011; 95% confidence interval, 0.003 to 0.047; P < .001). CONCLUSIONS: Assessment of 24-hour before-discharge opioid intake may inform patient requirements after discharge. Opioid prescriptions after thoracic surgery can thereby be targeted on the basis of anticipated needs.

The Association of Patient Satisfaction-Based Incentives with Primary Care Physician Opioid Prescribing.

PURPOSE: The opioid epidemic in the United States is an ongoing public health concern. Health care institutions use standardized patient satisfaction surveys to assess the patient experience and some offer incentives to their providers based on the results. We hypothesized that providers who report being incentivized based on patient satisfaction surveys are more likely to report an impact of such surveys on their opioid prescribing practices. METHODS: We developed a 23-item survey instrument to assess the self-perceived impact of patient satisfaction surveys on opioid prescribing practices in primary care and the potential impact of institutional incentives. The survey was emailed to all 1404 members of the Colorado Academy of Family Physicians. RESULTS: The response rate to the online survey was 10.4% (n = 146). Clinical indications for which responders prescribe opioids included acute pain (93%), cancer pain (85%), and chronic nonmalignant pain (72%). Among physicians using patient satisfaction surveys, incentivized physicians reported at least a slight impact on opioid prescribing 3 times more often than physicians who were not incentivized (36% vs 12%, P = .004). CONCLUSIONS: Efforts to improve patient satisfaction may have potentially untoward effects on providers' opioid prescribing behaviors. Our results suggest a need to further study the impact of provider incentive plans that are based on patient satisfaction scores.