Development of the Multi-Dimensional Analysis of Patient Outcome Predictions (MD.POP) during medical encounters.

OBJECTIVE: Our first objective was to develop the Multi-Dimensional analysis of Patient Outcome Predictions (MD.POP), an interaction analysis system that assesses how HCPs discuss precisely and exclusively patient outcomes during medical encounters. The second objective was to study its interrater reliability. METHOD: The MD.POP was developed by consensus meetings. Forty simulated medical encounters between physicians and an actress portraying a patient were analysed. Interrater reliability analysis was conducted on 20 of those simulated encounters. RESULTS: The MD.POP includes six dimensions: object, framing, value, domain, probability and form of POP. The coding method includes four steps: 1) transcription of the encounter, 2) POP identification, 3) POP dimension coding and 4) POP scoring. Descriptive analyses show that the MD.POP is able to describe verbal expressions addressing the patient's outcomes. Statistical analyses show excellent interrater reliability (Cohen's Kappa ranging from 0.92 to 0.94). CONCLUSION: The MD.POP is a reliable interaction analysis system that assesses how HCPs discuss patient medical, psychological or social outcomes during medical encounters. PRACTICAL IMPLICATION: The MD.POP provides a measure for researchers to study how HCPs communicate with patients about potential outcomes. Results of such studies will allow to provide recommendations to improve HCP's communication about patients' outcomes.

Predictors of physicians' communication performance in a decision-making encounter with a simulated advanced-stage cancer patient: A longitudinal study.

OBJECTIVES: Physicians' characteristics that influence their communication performance (CP) in decision-making encounters have been rarely studied. In this longitudinal study, predictors of physicians' CP were investigated with a simulated advanced-stage cancer patient. METHODS: Physicians (n=85) performed a decision-making encounter with a simulated patient (SP). Their CP was calculated by analyzing encounter transcripts with validated interaction analysis systems. Potential specific psychological predictors were physicians' empathy towards the SP (Jefferson Scale of Physician Empathy, JSPE) and their decisional conflict about the treatment (Decisional Conflict Scale, DCS). Potential general psychological predictors were physicians' empathy towards cancer patients (JSPE), their decisional conflict about cancer patients' treatments (DCS), and their affective reactions to uncertainty (Physicians' Reactions to Uncertainty, PRU). RESULTS: Physicians' CP was predicted by their decisional conflict about the SP's treatment (DCS) (ß=0.41; p< 0.001) and their affective reactions to uncertainty regarding cancer treatments (PRU) (ß=-0.31; p=0.003). CONCLUSION: During encounters with advanced-stage cancer patients, physicians' awareness of uncertainty about which treatments to consider may facilitate their communication performance, whereas physicians' affective reactions to uncertainty may inhibit their performance. PRACTICE IMPLICATIONS: Physicians' decisional conflict and reactions to uncertainty should be addressed in communication skills training programs.

Development of the LaComm 1.0, A French medical communication analysis software: A study assessing its sensitivity to change.

OBJECTIVE: To test and compare the sensitivity to change of a communication analysis software, the LaComm 1.0, to the CRCWEM's using data from a randomized study assessing the efficacy of a communication skills training program designed for nurses. METHODS: The program assessment included the recording of two-person simulated interviews at baseline and after training or 3 months later. Interview transcripts were analyzed using the CRCWEM and the LaComm 1.0 tools. RESULTS: One hundred and nine oncology nurses (mainly graduated or certified) were included in the study. The CRCWEM detected 5 changes out of 13 expected changes (38%) (e.g., more open directive questions after training) and the LaComm 1.0, 4 changes out of 7 expected changes (57%) (e.g., more empathic statements after training). For open directive question, the effect sizes of the group-by-time changes were slightly different between tools (CRCWEM: Cohen's d=0.97; LaComm 1.0: Cohen's d=0.67). CONCLUSIONS: This study shows that the LaComm 1.0 is sensitive to change. PRACTICE IMPLICATIONS: The LaComm 1.0 is a valid method to assess training effectiveness in French. The use of the Lacomm 1.0 in future French communication skills training programs will allow comparisons of studies.

Is it possible to improve communication around radiotherapy delivery: A randomized study to assess the efficacy of team training?

BACKGROUND AND PURPOSE: The aim of this study was to assess the efficacy of a 38-h communication skills training program designed for multidisciplinary radiotherapy teams. MATERIALS AND METHODS: Four radiotherapy teams were randomly assigned to a training program or to a waiting list. Assessments were scheduled at baseline (T1) and then after the training was completed or four months later (T2), respectively. Communication around radiotherapy delivery was assessed based on audio recordings of the first and last radiotherapy sessions in order to assess team members' communication skills and the expression of concerns by breast cancer patients (analyzed with content analysis software LaComm). RESULTS: 198 radiotherapy sessions were recorded. During the first radiotherapy sessions, members of the trained teams exhibited more assessment skills (p=0.048), provided more setting information (p<0.001), and used more social words (p=0.019) compared to the members of the untrained teams. During the last radiotherapy session, members of the trained teams used more assessment skills (p=0.004) and patients interacting with members of the trained teams expressed more sadness words (p=0.023). CONCLUSION: Training of multidisciplinary teams has the potential to transfer skills that affect the short exchanges that take place around radiotherapy delivery.