EFFICACY: Hopewell Hospitalist: A Video Game Intervention to Increase Advance Care Planning by Hospitalists

March 13, 2023 updated by: Amber Barnato, Dartmouth-Hitchcock Medical Center

Hopewell Hospitalist: A Video Game Intervention to Increase Advance Care Planning Conversations by Hospitalists With Older Adults

Hopewell Hospitalist is a theory-based adventure video game designed to increase the likelihood that a physician will engage in an advance care planning (ACP) conversation with a patient over the age of 65. Drawing on the theory of narrative engagement, players assume the persona of a hospitalist and navigate a series of clinical encounters with seriously-ill patients over the age of 65. Players experience the consequences of having (or not having) ACP conversations in a timely fashion. The planned study is a pragmatic stepped-wedge crossover phase III trial testing the efficacy of Hopewell Hospitalist for increasing ACP rates measured by ACP billing frequency.

Study Overview

Status

Completed

Detailed Description

Introduction: Fewer than half of all people in the U.S. have a documented advance care plan, such as an advance directive, despite their importance in ensuring high-quality care at the end-of-life. Hospitalization offers an opportunity for physicians to initiate advance care planning (ACP) conversations. Despite expert recommendations, hospital-based physicians (hospitalists) do not routinely engage in these conversations, reserving them for the critically ill.

The objective of this study is to test the effect of a novel behavioral intervention on the incidence of ACP conversations by hospitalists practicing at a stratified random sample of hospitals drawn from 220 US acute care hospitals staffed by a large, nationwide acute care physician practice with an ongoing ACP quality improvement initiative.

Methods and analysis: We developed Hopewell Hospitalist, a theory-based adventure video game, to modify physicians' attitudes towards ACP conversations, and to increase their motivation for engaging in them. Drawing on the theory of narrative engagement, players assume the persona of Andy Jordan, a hospitalist who accepts a new job in a small town. Through a series of clinical encounters with seriously-ill patients over the age of 65, players experience the consequences of having (or not having) ACP conversations in a timely fashion. The planned study is a pragmatic stepped-wedge crossover phase III trial, testing the efficacy of Hopewell Hospitalist for increasing ACP conversations. We will randomize 40 hospitals to the month (step) in which they receive the intervention. We aim to recruit 30 hospitalists from up to 8 hospitals each step to complete the intervention, playing Hopewell Hospitalist for at least 2 hours on an iPad pre-loaded with the game. The primary outcome is ACP billing for patients age 65 and older managed by participating hospitalists. We hypothesize that the intervention will increase ACP billing in the quarter after dissemination, and have 80% power to detect a 1% absolute increase and 99% power to detect a 3.5% absolute increase.

Ethics and dissemination: Dartmouth's Committee for the Protection of Human Subjects has approved the study protocol, which is registered on clinicaltrials.gov. We will disseminate the results through manuscripts and the trials website. Hopewell Hospitalist will be made available on the iOS Application Store for download, free of cost, at the conclusion of the trial.

Study Type

Interventional

Enrollment (Actual)

163

Phase

  • Not Applicable

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

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Hospital Inclusion Criteria:

  • Value-based delivery model of care (Bundled Payment Care Initiative)
  • Staffed by Sound Physicians for at least 2 quarters
  • Advance care planning billing rate in prior quarter greater than 0 percent
  • Employs a nurse liaison
  • Hospitalist chief approval to approach hospitalists

Hospital Exclusion Criteria:

  • Sound Physicians no longer staffing the hospital
  • Not staffed by Sound Physicians for at least 2 quarters
  • Advance care planning billing rate in prior quarter of 0 percent
  • Does not employ a nurse liaison
  • Hospitalist chief disapproval to approach hospitalists
  • Hospitalist chief does not provide contact information for hospitalists
  • Target number of hospitalists for the "step" has been met or exceeded

Hospitalist Inclusion Criteria:

  • Employed by Sound for at least 2 quarters and staffing an eligible hospital for at least 1 quarter
  • ACP billing rate in prior quarter greater than 0 percent or answers eligibility question affirming use of ACP billing codes
  • Provides informed consent
  • Name matches a name in the contact list for the sample; OR is verified by communication through an employer-based email address
  • Receipt of a functional iPad within study step time frame

Hospitalist Exclusion Criteria:

  • Not employed by Sound for at least 2 quarters and staffing an eligible hospital for at least 1 quarter
  • ACP billing rate in prior quarter of 0 percent or answers eligibility question refusing use of ACP billing
  • Does not provide informed consent
  • Provides consent after the given deadline for consenting
  • Name does not match a name in the contact list for the sample; OR cannot be verified by communication through an employer-based email address
  • Receipt of a nonfunctional iPad within study step time frame
  • If the number of participants who consent per site exceeds targets, then participants who are part-time employees will be preferentially excluded

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

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Usual Care Control
The control arm occurred prior to receipt of the video game intervention. Each hospital group 'crossed over' from control to intervention at a randomized time point based on their assignment to the 'step' of the trial.
Experimental: Video Game Intervention
Each hospital group 'crossed over' from control to intervention at a randomized time point. Physicians working at these hospitals, who agreed to participate in the trial, received a study iPad and were asked to play the video game loaded on the iPad for a minimum of 2 hours.
Hopewell Hospitalist is a customized theory-based adventure video game that uses narrative engagement to educate physician players on advance care planning to increase physicians' likelihood of engaging in and billing for ACP conversations.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Percentage of Patients With Advance Care Planning Bills
Time Frame: 11 months
Percentage of advance care planning bills submitted by physicians in the trial for patients over the age of 65 in the period before and after the roll-out of the video game intervention at their hospital. Advance care planning bills are defined as the presence/absence of ACP charges (Medicare billing codes 99497 or 99498) during a patient's hospitalization.
11 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Percentage of Patients Who Died While in Hospital
Time Frame: 11 months
Number of patients who died in the pre-intervention and post-intervention period/total number of patients for both periods
11 months
Percentage of Patients Readmitted in 7 Days
Time Frame: 11 months
Number of patients readmitted within 7 days/Total number of patients treated in the pre-intervention and post-intervention periods
11 months
Percentage of Patients Readmitted Within 30-days
Time Frame: 11 months
Number of patients readmitted within 30-days/Total number of patients in the pre-intervention and post-intervention periods
11 months
Percentage of Patients Who Received Critical Care
Time Frame: 11 months
Number of patients who received critical care while admitted/total number of patients admitted in the pre-intervention and post-intervention periods
11 months
Length of Stay
Time Frame: 11 months
Duration of hospitalization for patients treated in the pre-intervention and post-intervention periods
11 months

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Hospitalist Advance Care Planning Attitudes Vignette-Based Measure
Time Frame: 1 month
Responses to patient case vignettes by enrolled hospitalists' regarding patient priority for advance care planning conversation. For each vignette, enrolled hospitalists decide if and how a patient in a case vignette receives an advanced care planning conversation by selecting one of four responses categories: No, Primary Care Physician, Admit, or Now.
1 month
Hospitalist Advance Care Planning Attitudes Questionnaire-Based Measure
Time Frame: 1 month
Individual and aggregated responses to 10-item questionnaire regarding enrolled hospitalists' attitudes towards advance care planning. Each of the ten items is a 5-point Likert scale. Higher scores indicate positive attitudes and lower scores indicate negative attitudes.
1 month

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Amber Barnato, MD, MPH, MS, Dartmouth-Hitchcock Medical Center and Geisel School of Medicine�
  • Principal Investigator: Deepika Mohan, MD, MPH, University of Pittsburgh

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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)

July 1, 2020

Primary Completion (Actual)

May 31, 2021

Study Completion (Actual)

August 31, 2021

Study Registration Dates

First Submitted

September 11, 2020

First Submitted That Met QC Criteria

September 18, 2020

First Posted (Actual)

September 22, 2020

Study Record Updates

Last Update Posted (Actual)

April 10, 2023

Last Update Submitted That Met QC Criteria

March 13, 2023

Last Verified

March 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • STUDY00031186
  • P01AG019783 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

We will share de-identified participant data and supporting information with other researchers upon request to the PI.

IPD Sharing Time Frame

Upon publication of the planned manuscripts. Data will be retained through February 2028.

IPD Sharing Access Criteria

Data will require completion of a data use agreement with Dartmouth.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE
  • CSR

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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