Expected Versus Experienced Health-Related Quality of Life Among Patients Recovering From Cancer Surgery: A Prospective Cohort Study.

Patient expectations of the impact of surgery on postoperative health-related quality of life (HRQL) may reflect the effectiveness of patient-provider communication. We sought to compare expected versus experienced HRQL among patients undergoing cancer surgery. METHODS: Adults undergoing cancer surgery were eligible for inclusion (2017-2019). Preoperatively, patients completed a smartphone-based survey assessing expectations for HRQL 1 week and 1, 3, and 6 months postoperatively based on the 8 short-form 36 (SF36) domains (physical functioning, physical role limitations, pain, general health, vitality, social functioning, emotional role limitations, and mental health). Experienced HRQL was then assessed through smartphone-based SF36 surveys 1, 3, and 6 months postoperatively. Correlations between 1- and 6-month trends in expected versus experienced HRQL were determined. RESULTS: Among 101 consenting patients, 74 completed preoperative expectations and SF36 surveys (73%). The mean age was 54 years (SD 14), 49 (66%) were female, and the most common operations were for breast (34%) and abdominal (31%) tumors. Patients expected HRQL to worsen 1 week after surgery and improve toward minimal disability over 6 months. There was poor correlation (≤±0.4) between 1- and 6-month trends in expected versus experienced HRQL in all SF36 domains except for moderate correlation in physical functioning (0.50, 95% confidence interval [0.22-0.78], P < 0.001) and physical role limitations (0.41, 95% confidence interval [0.05-0.77], P = 0.024). Patients expected better HRQL than they experienced. CONCLUSIONS: Preoperative expectations of postoperative HRQL correlated poorly with lived experiences except in physical health domains. Surgeons should evaluate factors which inform expectations around physical and psychosocial health and use these data to enhance shared decision-making.

Variability in cesarean delivery rates among individual labor and delivery nurses compared to physicians at three attribution time points.

OBJECTIVE: To examine the variability in the cesarean delivery (CD) rates of individual labor and delivery nurses compared with physicians at three attribution time points. DATA SOURCES: Medical record data from nine hospitals in Washington State from January 2016 through September 2018. STUDY DESIGN: Retrospective, observational cohort design using an aggregated database of birth records. DATA COLLECTION/EXTRACTION METHODS: Chart-abstracted clinical data from a subset of nulliparous, term, singleton, vertex births attributed at admission, labor management, and delivery to nurses and physicians. Two classification methods were used to categorize nurse- and physician-level CD rates at three attribution time points and the reliability of these methods compared. PRINCIPAL FINDINGS: The sample included 12 556 births, 319 nurses, and 126 physicians. Overall, variation in nurse-level CD rates did not differ significantly across the three attribution time points, and the extent of variation was similar to that observed in physicians. However, agreement between attribution time points varied between 35 percent and 65 percent when classifying individual nurses into the top and bottom deciles. The average reliability of nurse-level CD rates was 32 percent at admission (IQR 22.0 percent to 38.7 percent), 32.6 percent at labor (IQR 23.1 percent to 40.9 percent), and 29.3 percent (IQR 20.9 percent to 35.8 percent) at delivery. The average reliability of physician-level CD rates was higher: 54.2 percent (IQR 38.7 percent to 71.4 percent) at admission, 62.5 percent (IQR 49.0 percent to 79.6 percent) at labor management, and 66.1 percent (IQR 53.7 percent to 81.2 percent) at delivery. CONCLUSION: Feedback on nurse-level CD rates as part of routine clinical quality audits can provide insight into nurse performance in the context of other individual-level and unit-level information. To reliably distinguish individual nurse performance, larger sample sizes are needed.

A systematic intervention to improve serious illness communication in primary care: Effect on expenses at the end of life.

BACKGROUND: At a population level, conversations between clinicians and seriously ill patients exploring patients' goals and values can drive high-value healthcare, improving patient outcomes and reducing spending. METHODS: We examined the impact of a quality improvement intervention to drive better communication on total medical expenses in a high-risk care management program. We present our analysis of secondary expense outcomes from a prospective implementation trial of the Serious Illness Care Program, which includes clinician training, coaching, tools, and system interventions. We included patients who died between January 2014 and September 2016 who were selected for serious illness conversations, using the "Surprise Question," as part of implementation of the program in fourteen primary care clinics. RESULTS: We evaluated 124 patients and observed no differences in total medical expenses between intervention and comparison clinic patients. When comparing patients in intervention clinics who did and did not have conversations, we observed lower average monthly expenses over the last 6 ($6297 vs. $8,876, p = 0.0363) and 3 months ($7263 vs. $11,406, p = 0.0237) of life for patients who had conversations. CONCLUSIONS: Possible savings observed in this study are similar in magnitude to previous studies in advance care planning and specialty palliative care but occur earlier in the disease course and in the context of documented conversations and a comprehensive, interprofessional case management program. IMPLICATIONS: Programs designed to drive more, earlier, and better serious illness communication hold the potential to reduce costs. LEVEL OF EVIDENCE: Prospectively designed trial, non-randomized sample, analysis of secondary outcomes.

Effect of the Serious Illness Care Program on Health Care Utilization at the End of Life for Patients with Cancer.

Objectives: To determine the effect of the Serious Illness Care Program on health care utilization at the end of life in oncology. Design: Analysis of the secondary outcome of health care utilization as part of a cluster-randomized clinical trial that ran from 2012 to 2016. Clinicians in the intervention group received training, coaching, and system supports to have discussions with patients using a Serious Illness Conversation Guide (SICG); clinicians in the control arm followed usual care. Setting/Subject: Patients with advanced cancer who died within two years of enrollment at the Dana-Farber Cancer Institute. Measurement: Health care utilization was abstracted from the electronic medical record using the National Quality Forum (NQF)-endorsed indicators of aggressive cancer care at the end of life and scored from 0 to 6 (one point for each aggressive indicator); t tests and chi-square tests were used to determine differences between intervention and control patients. Results: The charts of 159 patients who died were reviewed. Neither the main outcome of mean number of aggressive indicators (0.9 vs. 0.9, p = 0.84) nor the proportion of patients with any aggressive care (49% intervention [95% CI: 40-57] vs. 54% control [95% CI: 42-67]) differed between patients in the intervention and control groups. Conclusion: In this analysis of a secondary outcome from a randomized clinical trial of the Serious Illness Care Program, intervention and control patients had similar end-of-life health care utilization as measured by the mean number of NQF-endorsed indicators. Future research efforts should focus on studying the strategies by which communication about patients' prognosis, values, and goals leads to personalized care plans.

Nurses' and auxiliary nurse midwives' adherence to essential birth practices with peer coaching in Uttar Pradesh, India: a secondary analysis of the BetterBirth trial.

BACKGROUND: The BetterBirth trial tested the effect of a peer coaching program around the WHO Safe Childbirth Checklist for birth attendants in primary-level facilities in Uttar Pradesh, India on a composite measure of perinatal and maternal mortality and maternal morbidity. This study aimed to examine the adherence to essential birth practices between two different cadres of birth attendants-nurses and auxiliary nurse midwives (ANMs)-during and after a peer coaching intervention for the WHO Safe Childbirth Checklist. METHODS: This is a secondary analysis of birth attendant characteristics, coaching visits, and behavior uptake during the BetterBirth trial through birth attendant surveys, coach observations, and independent observations. Descriptive statistics were calculated overall, and by staffing cadre (staff nurses and ANMs) for demographic characteristics. Logistic regression using the Pearson overdispersion correction (to account for clustering by site) was used to assess differences between staff nurses and ANMs in the intervention group during regular coaching (2-month time point) and 4 months after the coaching program ended (12-month time point). RESULTS: Of the 570 birth attendants who responded to the survey in intervention and control arms, 474 were staff nurses (83.2%) and 96 were ANMs (16.8%). In the intervention arm, more staff nurses (240/260, 92.3%) received coaching at all pause points compared to ANMs (40/53, 75.5%). At baseline, adherence to practices was similar between ANMs and staff nurses (~ 30%). Overall percent adherence to essential birth practices among ANMs and nurses was highest at 2 months after intervention initiation, when frequent coaching visits occurred (68.1% and 64.1%, respectively, p = 0.76). Practice adherence tapered to 49.2% among ANMs and 56.1% among staff nurses at 12 months, which was 4 months after coaching had ended (p = 0.68). CONCLUSIONS: Overall, ANMs and nurses responded similarly to the coaching intervention with the greatest increase in percent adherence to essential birth practices after 2 months of coaching and subsequent decrease in adherence 4 months after coaching ended. While coaching is an effective strategy to support some aspects of birth attendant competency, the structure, content, and frequency of coaching may need to be customized according to the birth attendant training and competency. TRIAL REGISTRATION: ClinicalTrials.gov: NCT2148952; Universal Trial Number: U1111-1131-5647.

Training Clinicians in Serious Illness Communication Using a Structured Guide: Evaluation of a Training Program in Three Health Systems.

Background: Failure to initiate discussions about patients' values and goals in serious illness remains a common problem. Many clinicians are inadequately trained for these discussions. Objective: Evaluate whether a novel train-the-trainer model results in high-quality training that improves clinicians' self-reported competencies in serious illness communication. Design: Multimethod evaluation of an educational program. Setting/Context: In 2016, three faculty at Ariadne Labs (AL) conducted three train-the-trainer courses to equip faculty trainers at each of the three institutions to teach serious illness communication to clinicians. Measures: As collected by a post-training questionnaire, primary evaluation measure is clinicians' self-reported change in skills after the training compared with before. Secondary measures include a course evaluation and qualitative learnings. Results: From 2016 to 2018, AL trained 22 trainers (19/22 were palliative care specialists) in three systems, who trained 297 clinicians (49% physicians; 35% advanced practice clinicians; 12% registered nurses, social workers, or chaplain; 4.0% Other) spanning subspecialties (48%); primary care (28%); palliative care (17%); and other (7.1%). Clinicians reported statistically significant improvement in all skills for two of the systems, with a third system demonstrating improvement in all skills with two reaching statistical significance (p < 0.0001). Participants rated the quality of the training highly (95% mostly/extremely effective) and shared a diverse array of takeaways that reflect positive shifts in knowledge, attitudes, and skills. Conclusion: Serious illness communication training, delivered through a train-the-trainer model, was highly acceptable and resulted in significant self-reported improvements in competencies of clinicians. This may be a viable method for health systems seeking to train their clinical workforce.

Multisource Evaluation of Surgeon Behavior Is Associated With Malpractice Claims.

OBJECTIVE: We merged direct, multisource, and systematic assessments of surgeon behavior with malpractice claims, to analyze the relationship between surgeon 360-degree reviews and malpractice history. BACKGROUND: Previous work suggests that malpractice claims are associated with a poor physician-patient relationship, which is likely related to behaviors captured by 360-degree review. We hypothesize that 360-degree review results are associated with malpractice claims. METHODS: Surgeons from 4 academic medical centers covered by a common malpractice carrier underwent 360-degree review in 2012 to 2013 (n = 385). Matched, de-identified reviews and malpractice claims data were available for 264 surgeons from 2000 to 2015. We analyzed 23 questions, highlighting positive and negative behaviors within the domains of education, excellence, humility, openness, respect, service, and teamwork. Regression analysis with robust standard error was used to assess the potential association between 360-degree review results and malpractice claims. RESULTS: The range of claims among the 264 surgeons was 0 to 8, with 48.1% of surgeons having at least 1 claim. Multiple positive and negative behaviors were significantly associated with the risk of having malpractice claims (P < 0.05). Surgeons in the bottom decile for several items had an increased likelihood of having at least 1 claim. CONCLUSION: Surgeon behavior, as assessed by 360-degree review, is associated with malpractice claims. These findings highlight the importance of teamwork and communication in exposure to malpractice. Although the nature of malpractice claims is complex and multifactorial, the identification and modification of negative physician behaviors may mitigate malpractice risk and ultimately result in the improved quality of patient care.

Evaluation of a call center to assess post-discharge maternal and early neonatal outcomes of facility-based childbirth in Uttar Pradesh, India.

BACKGROUND: Maternal and neonatal outcomes in the immediate post-delivery period are critical indicators of quality of care. Data on childbirth outcomes in low-income settings usually require home visits, which can be constrained by cost and access. We report on the use of a call center to measure post-discharge outcomes within a multi-site improvement study of facility-based childbirth in Uttar Pradesh, India. METHODS: Of women delivering at study sites eligible for inclusion, 97.9% (n = 157,689) consented to follow-up. All consenting women delivering at study facilities were eligible to receive a phone call between days eight and 42 post-partum to obtain outcomes for the seven-day period after birth. Women unable to be contacted via phone were visited at home. Outcomes, including maternal and early neonatal mortality and maternal morbidity, were ascertained using a standardized script developed from validated survey questions. Data Quality Assurance (DQA) included accuracy (double coding of calls) and validity (consistency between two calls to the same household). Regression models were used to identify factors associated with inconsistency. FINDINGS: Over 23 months, outcomes were obtained by the call center for 98.0% (154,494/157,689) consenting women and their neonates. 87.9% of call center-obtained outcomes were captured by phone call alone and 12.1% required the assistance of a field worker. An additional 1.7% were obtained only by a field worker, 0.3% were lost-to-follow-up, and only 0.1% retracted consent. The call center captured outcomes with a median of 1 call (IQR 1-2). DQA found 98.0% accuracy; data validation demonstrated 93.7% consistency between the first and second call. In a regression model, significant predictors of inconsistency included cases with adverse outcomes (p<0.001), and different respondents on the first and validation call (p<0.001). CONCLUSIONS: In areas with widespread mobile cell phone access and coverage, a call center is a viable and efficient approach for measurement of post-discharge childbirth outcomes.

Effectiveness of a WHO Safe Childbirth Checklist Coaching-based intervention on the availability of Essential Birth Supplies in Uttar Pradesh, India.

OBJECTIVE: Evaluate the impact of a World Health Organization Safe Childbirth Checklist coaching-based intervention (BetterBirth Program) on availability and procurement of essential childbirth-related supplies. DESIGN: Matched pair, cluster-randomized controlled trial. SETTING: Uttar Pradesh, India. PARTICIPANTS: 120 government-sector health facilities (60 interventions, 60 controls). Supply-availability surveys were conducted quarterly in all sites. Coaches collected supply procurement sources from intervention sites. INTERVENTIONS: Coaching targeting implementation of Checklist with data feedback and action planning. MAIN OUTCOME MEASURES: Mean supply availability by study arm; change in procurement sources for intervention sites. RESULTS: At baseline, 6 and 12 months, the intervention sites had a mean of 20.9 (95% confidence interval (CI): 20.2-21.5); 22.4 (95% CI: 21.8-22.9) and 22.1 (95% CI:21.4-22.8) items, respectively. Control sites had 20.8 (95% CI: 20.3-21.3); 20.9 (95% CI: 20.3-21.5) and 21.7 (95% CI: 20.8-22.6) items at the same time-points. There was a small but statistically significant higher availability in intervention sites at 6 months (difference-in-difference (DID) = 1.43, P < 0.001), which was not seen by 12 months (DID = 0.37, P = 0.53). Greater difference between intervention and control sites starting in the bottom quartile of supply availability was seen at 6 months (DID = 4.0, P = 0.0002), with no significant difference by 12 months (DID = 1.5, P = 0.154). No change was seen in procurement sources with ~5% procured by patients with some rates as high as 29% (oxytocin). CONCLUSIONS: Implementation of the BetterBirth Program, incorporating supply availability, resulted in modest improvements with catch-up by control facilities by 12 months. Supply-chain coaching may be most beneficial in sites starting with lower supply availability. Efforts are needed to reduce reliance on patient-funding for some critical medications. TRIAL REGISTRATION: ClinicalTrials.gov #NCT02148952; Universal Trial Number: U1111-1131-5647.

Implementation and results of an integrated data quality assurance protocol in a randomized controlled trial in Uttar Pradesh, India.

BACKGROUND: There are few published standards or methodological guidelines for integrating Data Quality Assurance (DQA) protocols into large-scale health systems research trials, especially in resource-limited settings. The BetterBirth Trial is a matched-pair, cluster-randomized controlled trial (RCT) of the BetterBirth Program, which seeks to improve quality of facility-based deliveries and reduce 7-day maternal and neonatal mortality and maternal morbidity in Uttar Pradesh, India. In the trial, over 6300 deliveries were observed and over 153,000 mother-baby pairs across 120 study sites were followed to assess health outcomes. We designed and implemented a robust and integrated DQA system to sustain high-quality data throughout the trial. METHODS: We designed the Data Quality Monitoring and Improvement System (DQMIS) to reinforce six dimensions of data quality: accuracy, reliability, timeliness, completeness, precision, and integrity. The DQMIS was comprised of five functional components: 1) a monitoring and evaluation team to support the system; 2) a DQA protocol, including data collection audits and targets, rapid data feedback, and supportive supervision; 3) training; 4) standard operating procedures for data collection; and 5) an electronic data collection and reporting system. Routine audits by supervisors included double data entry, simultaneous delivery observations, and review of recorded calls to patients. Data feedback reports identified errors automatically, facilitating supportive supervision through a continuous quality improvement model. RESULTS: The five functional components of the DQMIS successfully reinforced data reliability, timeliness, completeness, precision, and integrity. The DQMIS also resulted in 98.33% accuracy across all data collection activities in the trial. All data collection activities demonstrated improvement in accuracy throughout implementation. Data collectors demonstrated a statistically significant (p = 0.0004) increase in accuracy throughout consecutive audits. The DQMIS was successful, despite an increase from 20 to 130 data collectors. CONCLUSIONS: In the absence of widely disseminated data quality methods and standards for large RCT interventions in limited-resource settings, we developed an integrated DQA system, combining auditing, rapid data feedback, and supportive supervision, which ensured high-quality data and could serve as a model for future health systems research trials. Future efforts should focus on standardization of DQA processes for health systems research. TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT02148952 . Registered on 13 February 2014.

A Systematic Intervention To Improve Serious Illness Communication In Primary Care.

Improving communication about goals and values for patients with advancing serious illness nearing the end of life is a key opportunity to improve the value of care. The Serious Illness Care Program, implemented at primary care clinics affiliated with Brigham and Women's Hospital in Boston, Massachusetts, is a multicomponent intervention designed to support best practices in communication by clinicians to increase conversations with patients with serious illness about their goals and values. We conducted a study of the program in fourteen primary care clinics participating in a high-risk care management program based in an accountable care organization. Patients in the clinics with the program implemented were more likely than those in comparison clinics to have serious illness conversations-including discussion of values and goals-documented in patients' medical records. Clinicians who participated also reported high satisfaction with training they received as part of the program, which they regarded as effective. This work suggests that the Serious Illness Care Program promotes more and better conversations among selected primary care patients, and it highlights the need for further research.

Relation of Left Ventricular Mass and Infarct Size in Anterior Wall ST-Segment Elevation Acute Myocardial Infarction (from the EMBRACE STEMI Clinical Trial).

Biomarker measures of infarct size and myocardial salvage index (MSI) are important surrogate measures of clinical outcomes after a myocardial infarction. However, there is variability in infarct size unaccounted for by conventional adjustment factors. This post hoc analysis of Evaluation of Myocardial Effects of Bendavia for Reducing Reperfusion Injury in Patients With Acute Coronary Events (EMBRACE) ST-Segment Elevation Myocardial Infarction (STEMI) trial evaluates the association between left ventricular (LV) mass and infarct size as assessed by areas under the curve for creatine kinase-MB (CK-MB) and troponin I release over the first 72 hours (CK-MB area under the curve [AUC] and troponin I [TnI] AUC) and the MSI. Patients with first anterior STEMI, occluded left anterior descending artery, and available LV mass measurement in EMBRACE STEMI trial were included (n = 100) (ClinicalTrials.govNCT01572909). MSI, end-diastolic LV mass on day 4 cardiac magnetic resonance, and CK-MB and troponin I concentrations were evaluated by a core laboratory. After saturated multivariate analysis, dominance analysis was performed to estimate the contribution of each independent variable to the predicted variance of each outcome. In multivariate models that included age, gender, body surface area, lesion location, smoking, and ischemia time, LV mass remained independently associated with biomarker measures of infarct size (CK-MB AUC p = 0.02, TnI AUC p = 0.03) and MSI (p = 0.003). Dominance analysis demonstrated that LV mass accounted for 58%, 47%, and 60% of the predicted variances for CK-MB AUC, TnI AUC, and MSI, respectively. In conclusion, LV mass accounts for approximately half of the predicted variance in biomarker measures of infarct size. It should be considered as an adjustment variable in studies evaluating infarct size.

EMBRACE STEMI study: a Phase 2a trial to evaluate the safety, tolerability, and efficacy of intravenous MTP-131 on reperfusion injury in patients undergoing primary percutaneous coronary intervention.

AIMS: Among patients with ST-elevation myocardial infarction (STEMI), reperfusion injury contributes to additional myocardial damage. MTP-131 is a cell-permeable peptide that preserves the integrity of cardiolipin, enhances mitochondrial energetics, and improves myocyte survival during reperfusion. METHODS AND RESULTS: EMBRACE STEMI is a multicentre, randomized, double-blind Phase 2a trial that evaluated the efficacy and safety of MTP-131 vs. placebo infused at a rate of 0.05 mg/kg/h for 1 h among first-time anterior STEMI subjects undergoing primary percutaneous coronary intervention (PCI) for a proximal or mid left anterior descending (LAD) artery occlusion. Administration of MTP-131 was not associated with a significant reduction in the primary endpoint, infarct size by creatine kinase-myocardial band (CK-MB) area under the curve (AUC) over 72 h (5785 ± 426 ng h/mL in placebo vs. 5570 ± 486 ng h/mL in MTP-131; ITALIC! P = NS). MTP-131 was not associated with an improvement in pre-specified magnetic resonance imaging, angiographic, electrocardiographic, or clinical outcomes. CONCLUSION: Among subjects with first-time anterior STEMI due to a proximal or mid LAD lesion who undergo successful PCI, administration of MTP-131 was safe and well tolerated. Treatment with MTP-131 was not associated with a decrease in myocardial infarct size as assessed by AUC0-72 of CK-MB.