Advance Care Planning
Conditions
Keywords
advance care planning, physician performance, serious games, narrative engagement
Brief summary
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.
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.
Interventions
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.
Sponsors
Study design
Masking description
A hospital's treatment assignment was masked during analysis.
Intervention model description
A stepped wedge crossover trial randomizing physician participants at the group level (i.e., hospital). Each hospital group 'crossed over' from control to intervention at a randomized time point.
Eligibility
Inclusion criteria
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Percentage of Patients With Advance Care Planning Bills | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Percentage of Patients Who Died While in Hospital | 11 months | Number of patients who died in the pre-intervention and post-intervention period/total number of patients for both periods |
| Percentage of Patients Readmitted in 7 Days | 11 months | Number of patients readmitted within 7 days/Total number of patients treated in the pre-intervention and post-intervention periods |
| Percentage of Patients Readmitted Within 30-days | 11 months | Number of patients readmitted within 30-days/Total number of patients in the pre-intervention and post-intervention periods |
| Percentage of Patients Who Received Critical Care | 11 months | Number of patients who received critical care while admitted/total number of patients admitted in the pre-intervention and post-intervention periods |
| Length of Stay | 11 months | Duration of hospitalization for patients treated in the pre-intervention and post-intervention periods |
Countries
United States
Participant flow
Recruitment details
Dates: July 2020-May 2021 Types of location: acute care hospitals
Pre-assignment details
There was a minimum three month (maximum 7-month) run-in period prior to the exposure of patients to the physicians enrolled in the intervention. We distinguish below between physician participants who enrolled in the trial, and patient participants who were treated by physicians in the trial. The latter group were unconsented.
Participants by arm
| Arm | Count |
|---|---|
| Intervention The control arm occurs prior to receipt of the video game intervention. Each hospital group 'crosses over' from control to intervention at a randomized time point. | 163 |
| Total | 163 |
Baseline characteristics
| Characteristic | Intervention |
|---|---|
| Age, Continuous | 40 years STANDARD_DEVIATION 7 |
| Ethnicity (NIH/OMB) Hispanic or Latino | 9 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 154 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 0 Participants |
| How frequently do you use the Advance Care Planning [ACP] billing codes Always | 54 Participants |
| How frequently do you use the Advance Care Planning [ACP] billing codes Often | 74 Participants |
| How frequently do you use the Advance Care Planning [ACP] billing codes Rarely | 7 Participants |
| How frequently do you use the Advance Care Planning [ACP] billing codes Sometimes | 28 Participants |
| Physician Experience in Years of Practice | 6.7 years STANDARD_DEVIATION 5 |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants |
| Race (NIH/OMB) Asian | 75 Participants |
| Race (NIH/OMB) Black or African American | 15 Participants |
| Race (NIH/OMB) More than one race | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 21 Participants |
| Race (NIH/OMB) White | 52 Participants |
| Region of Enrollment United States | 163 participants |
| Sex: Female, Male Female | 55 Participants |
| Sex: Female, Male Male | 108 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 163 | 0 / 163 |
| other Total, other adverse events | 0 / 163 | 0 / 163 |
| serious Total, serious adverse events | 0 / 163 | 0 / 163 |
Outcome results
Percentage of Patients With Advance Care Planning Bills
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.
Time frame: 11 months
Population: We analyzed outcomes for patients over 65 admitted for an acute illness, and treated by a trial participant in the pre- and post-intervention periods.
| Arm | Measure | Value (COUNT_OF_PARTICIPANTS) |
|---|---|---|
| Pre-intervention | Percentage of Patients With Advance Care Planning Bills | 5,298 Participants |
| Post-intervention | Percentage of Patients With Advance Care Planning Bills | 4,920 Participants |
Length of Stay
Duration of hospitalization for patients treated in the pre-intervention and post-intervention periods
Time frame: 11 months
| Arm | Measure | Value (MEAN) | Dispersion |
|---|---|---|---|
| Pre-intervention | Length of Stay | 6.5 Days | Standard Deviation 5.3 |
| Post-intervention | Length of Stay | 6.4 Days | Standard Deviation 5 |
Percentage of Patients Readmitted in 7 Days
Number of patients readmitted within 7 days/Total number of patients treated in the pre-intervention and post-intervention periods
Time frame: 11 months
| Arm | Measure | Value (COUNT_OF_PARTICIPANTS) |
|---|---|---|
| Pre-intervention | Percentage of Patients Readmitted in 7 Days | 756 Participants |
| Post-intervention | Percentage of Patients Readmitted in 7 Days | 750 Participants |
Percentage of Patients Readmitted Within 30-days
Number of patients readmitted within 30-days/Total number of patients in the pre-intervention and post-intervention periods
Time frame: 11 months
| Arm | Measure | Value (COUNT_OF_PARTICIPANTS) |
|---|---|---|
| Pre-intervention | Percentage of Patients Readmitted Within 30-days | 2,065 Participants |
| Post-intervention | Percentage of Patients Readmitted Within 30-days | 2,190 Participants |
Percentage of Patients Who Died While in Hospital
Number of patients who died in the pre-intervention and post-intervention period/total number of patients for both periods
Time frame: 11 months
| Arm | Measure | Value (COUNT_OF_PARTICIPANTS) |
|---|---|---|
| Pre-intervention | Percentage of Patients Who Died While in Hospital | 1625 Participants |
| Post-intervention | Percentage of Patients Who Died While in Hospital | 1862 Participants |
Percentage of Patients Who Received Critical Care
Number of patients who received critical care while admitted/total number of patients admitted in the pre-intervention and post-intervention periods
Time frame: 11 months
| Arm | Measure | Value (COUNT_OF_PARTICIPANTS) |
|---|---|---|
| Pre-intervention | Percentage of Patients Who Received Critical Care | 1,065 Participants |
| Post-intervention | Percentage of Patients Who Received Critical Care | 1,034 Participants |