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.

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.

BackgroundThe 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.MethodsThis 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).ResultsOf 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).ConclusionsOverall, 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 registrationClinicalTrials.gov: NCT2148952; Universal Trial Number: U1111–1131-5647.

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.

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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.

BackgroundThere 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.MethodsWe 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.ResultsThe 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.ConclusionsIn 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 RegistrationClinicalTrials.gov identifier, NCT02148952. Registered on 13 February 2014.

Objective To understand the prevalence of intrapartum oxytocin use, assess associated perinatal and maternal outcomes, and evaluate the impact of a WHO Safe Childbirth Checklist intervention on oxytocin use at primary-level facilities in Uttar Pradesh, India.Design Secondary analysis of a cluster-randomised controlled trial.