Developing an Experimental Framework to Evaluate Oncologist Emotion Regulation

July 28, 2023 updated by: Garrett T. Wasp, Dartmouth-Hitchcock Medical Center

Developing an Experimental Framework to Evaluate Oncologist Emotion Regulation and Its Effect on Prognostic Disclosure During Telehealth Encounters

The research team recruited physicians (medical oncologists and specialty palliative care providers) trained in a communication tool called the serious illness conversation guide. Physicians conducted a simulated, telehealth serious illness conversation with an actor playing the role of a patient with advanced cancer. Physicians completed psychologic inventories before and after the encounter, documented the encounter using a template in the electronic medical record, and then participated in a structured interview afterwards discussing what they were feeling during the encounter and how it impacted the encounter. Physicians also wore three heart rate variability sensors during the simulated encounter.

Study Overview

Detailed Description

Aim 1: Assess the feasibility and acceptability of measuring physician emotion regulation (ER) abilities and strategies when disclosing prognosis in a simulated, outpatient telehealth encounter with a patient with advanced cancer.

This works seeks to address a technical gap in measurement relevant to the field of serious illness communication by assessing the feasibility and acceptability of collecting psychologic inventories and physiologic data in clinicians during a simulated patient encounter. The research team will purposely recruit physician of varied communication skill, assess communication behavior and triangulate different measures of emotion and ER (e.g. self-report, observation and biometric data sources). This exploratory aim will provide information regarding the feasibility of collecting data from physicians, variability in predictor (ER abilities) and outcome (prognostic disclosure and responding to patient emotion) measures, and preliminarily assess the construct validity of novel measures of physician ER. The research team plan to use an iterative approach (aka adaptive design); results and analysis from the first participants will be used to influence data collection moving forward for future participants (e.g. interview questions asked, timing and duration of biometric sensors being worn, etc.). See Section 4.0 for the definition of feasibility.

Note: The rationale for using telehealth is for human subjects' protections in the context of COVID-19 era infection control practices. Specifically, subject health care providers and study actors cannot currently meet inside in person without wearing masks. Masks will adversely affect the study of communication and emotion. Given that serious illness conversations are increasingly occurring by telehealth in the COVID-19 era, this scientific change could be considered a strength as the research team seeks to learn more about the exchangeability of telehealth for in-person clinical services.

Aim 2: Compare and test two wearable biometric sensors against wearable ECG chest band (gold standard) to evaluate reliability, accuracy, and ease of use from participant and investigator perspectives. The study purpose is to critically appraise the less expensive sensor versus the more expensive research model in different tasks (resting vs patient encounter vs interview) and over different domains (reliability, accuracy, ease of use). To compare the sensors, each participant will wear all three: (one on each arm and the chest band) during the encounter. The research team will define the benchmark for reliability as heart rate variability available ≥90% of the task against the gold standard (e.g. ECG chest band). The research team will use feedback from investigators and participants to grade ease of use. Accuracy will be measured in terms of the time-weighted absolute difference in resting heart rate variability between the consumer and the gold standard sensor.

Aim 3: Assess the correlation between study clinicians' documentation of serious illness conversations using an electronic template against independent expert review and documentation of the video-recorded and transcribed conversation.

Documenting serious illness conversations is an important way to record and share the patient's preferences, goals of care, and illness understanding with other clinicians. Embedded documentation tools, like a template, are common strategies to promote this documentation by reducing the labor to generate the documentation and encourages a uniform structure. Yet little is known about this process of translation - from what the patient says to what the clinician documents - specific to serious illness communication. By using a mixed-methods comparison of clinician-generated serious illness documentation to the transcribed conversations, the research team can perform an exploratory analysis of individual clinician and clinician specialty (e.g. palliative care, oncology) differences in the translation of the serious illness conversation into a documented note. Examples of correlation metrics that the research team may use include agreement and/or inter-rater reliability for closed-ended template items and narrative length and qualitative content analysis for open-ended template items between the study clinician and expert reviewer.

Study Type

Observational

Enrollment (Actual)

11

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • New Hampshire
      • Lebanon, New Hampshire, United States, 03766
        • Dartmouth-Hitchcock Medical Center

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Attending physicians in medical oncology or palliative care

Description

Inclusion Criteria:

Clinicians who have been previously trained in the serious illness conversation guide. Two groups of participants will be recruited.

  • hematology/oncology faculty
  • specialty-trained palliative care clinicians

Exclusion Criteria:

  • individuals who have a diagnosis of cardiovascular dysfunction

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Cross-Sectional

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Medical oncologists
5 medical oncologists; trained in the serious illness conversation guide

The study team will instruct the participant to relax, and record biometric data for a total 7 minutes (the beginning two minutes is to allow for physiologic adaptation).

Simulated Encounter The study team will train experienced actors in the same case, a patient with a metastatic soft tissue sarcoma already on second-line chemotherapy. The physicians will receive a simulated medical file that contains a prognosis in a single format: a range-based, time prognosis (e.g. months to a year). The actor script and medical file will be developed by a multidisciplinary team (e.g. oncologist, palliative care, emotion scientist). The encounter will occur via tele-video platform (ZOOM®) and will be video-recorded. During the encounter participant physicians will wear three biometric sensors.

specialty palliative care
6 specialty palliative care physicians; trained in serious illness conversation guide

The study team will instruct the participant to relax, and record biometric data for a total 7 minutes (the beginning two minutes is to allow for physiologic adaptation).

Simulated Encounter The study team will train experienced actors in the same case, a patient with a metastatic soft tissue sarcoma already on second-line chemotherapy. The physicians will receive a simulated medical file that contains a prognosis in a single format: a range-based, time prognosis (e.g. months to a year). The actor script and medical file will be developed by a multidisciplinary team (e.g. oncologist, palliative care, emotion scientist). The encounter will occur via tele-video platform (ZOOM®) and will be video-recorded. During the encounter participant physicians will wear three biometric sensors.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Investigator Assessed Feasibility of collecting clinician derived data on emotion regulation
Time Frame: Day 1
This is a composite measure with four criteria: 1) >60% approached clinicians enroll on study; 2) <5% of missing time from encounter audio file; 3) <20% of missing time from heart rate variability collection; and 4) survey completion rates >90% of all items. All four criteria must be met for investigators to assess as feasible.
Day 1

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Completeness of Documentation
Time Frame: Day 1
The documentation template clinicians are asked to use has 10 text fields they can complete. The study team will describe the number of fields each clinician completes. Qualitative analysis will assess content of text in those fields
Day 1
The number of participants with heart rate variability data collected for more than 90% of the conversation task
Time Frame: Day 1
time stamps for heart rate sensors and the HRV tracings used to determine time sensor collected HRV data
Day 1

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Garrett T Wasp, MD, MPH, Dartmouth Cancer Center

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 1, 2020

Primary Completion (Actual)

August 28, 2021

Study Completion (Actual)

September 30, 2021

Study Registration Dates

First Submitted

October 14, 2021

First Submitted That Met QC Criteria

May 4, 2022

First Posted (Actual)

May 9, 2022

Study Record Updates

Last Update Posted (Actual)

August 1, 2023

Last Update Submitted That Met QC Criteria

July 28, 2023

Last Verified

July 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • STUDY02000696

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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