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Research

Supporting shared decision-making about cardiopulmonary resuscitation using a video-based decision-support intervention in a hospital setting: a multisite before–after pilot study

John J. You, Dev Jayaraman, Marilyn Swinton, Xuran Jiang and Daren K. Heyland
October 25, 2019 7 (4) E630-E637; DOI: https://doi.org/10.9778/cmajo.20190022
John J. You
Division of General and Hospitalist Medicine (You), Trillium Health Partners, Mississauga, Ont.; Department of Medicine (Jayaraman), McGill University, Montreal General Hospital, Montréal, Que.; Department of Health Research Methods, Evidence, and Impact (Swinton), McMaster University, Hamilton, Ont.; Clinical Evaluation Research Unit (Jiang), Kingston General Hospital and Queen’s University; Department of Critical Care Medicine (Heyland), Queen’s University, Kingston, Ont.
MD MSc
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Dev Jayaraman
Division of General and Hospitalist Medicine (You), Trillium Health Partners, Mississauga, Ont.; Department of Medicine (Jayaraman), McGill University, Montreal General Hospital, Montréal, Que.; Department of Health Research Methods, Evidence, and Impact (Swinton), McMaster University, Hamilton, Ont.; Clinical Evaluation Research Unit (Jiang), Kingston General Hospital and Queen’s University; Department of Critical Care Medicine (Heyland), Queen’s University, Kingston, Ont.
MD MPH
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Marilyn Swinton
Division of General and Hospitalist Medicine (You), Trillium Health Partners, Mississauga, Ont.; Department of Medicine (Jayaraman), McGill University, Montreal General Hospital, Montréal, Que.; Department of Health Research Methods, Evidence, and Impact (Swinton), McMaster University, Hamilton, Ont.; Clinical Evaluation Research Unit (Jiang), Kingston General Hospital and Queen’s University; Department of Critical Care Medicine (Heyland), Queen’s University, Kingston, Ont.
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Xuran Jiang
Division of General and Hospitalist Medicine (You), Trillium Health Partners, Mississauga, Ont.; Department of Medicine (Jayaraman), McGill University, Montreal General Hospital, Montréal, Que.; Department of Health Research Methods, Evidence, and Impact (Swinton), McMaster University, Hamilton, Ont.; Clinical Evaluation Research Unit (Jiang), Kingston General Hospital and Queen’s University; Department of Critical Care Medicine (Heyland), Queen’s University, Kingston, Ont.
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Daren K. Heyland
Division of General and Hospitalist Medicine (You), Trillium Health Partners, Mississauga, Ont.; Department of Medicine (Jayaraman), McGill University, Montreal General Hospital, Montréal, Que.; Department of Health Research Methods, Evidence, and Impact (Swinton), McMaster University, Hamilton, Ont.; Clinical Evaluation Research Unit (Jiang), Kingston General Hospital and Queen’s University; Department of Critical Care Medicine (Heyland), Queen’s University, Kingston, Ont.
MD MSc
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    Figure 1:

    Flow diagram showing selection of study participants. *May have been excluded for more than 1 reason.

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    Table 1:

    Study population sociodemographic and health characteristics

    CharacteristicNo. (%) of participants*
    Patients
    n = 43
    Family members
    n = 28
    Age, yr, mean ± SD (range)79.0 ± 11.4 (56–95)61.0 ± 10.0 (47–83)
    Female sex23 (53)25 (89)
    Ethnicity
     Asian/Pacific Islander0 (0)2 (7)
     African/black North American0 (0)1 (4)
     White42 (98)23 (82)
     First Nations/Inuit/Metis0 (0)1 (4)
     East Indian1 (2)0 (0)
     Other0 (0)1 (4)
    Formal religious group
     Protestant17 (40)8 (29)
     Catholic11 (26)11 (39)
     Muslim0 (0)1 (4)
     Jewish1 (2)0 (0)
     None11 (26)6 (21)
     Other3 (7)2 (7)
    Highest level of education
     Some high school19 (44)2 (7)
     Completed high school15 (35)10 (36)
     Some university education or completed other postsecondary program7 (16)8 (29)
     University undergraduate degree2 (5)5 (18)
     University graduate degree0 (0)3 (11)
    Place of residence in prior month
     Own home36 (84)–
     Retirement residence5 (12)–
     Rehabilitation facility1 (2)–
     Other1 (2)–
    Frailty†‡
     Well3 (7)–
     Managing well5 (12)–
     Vulnerable15 (35)–
     Mildly frail9 (21)–
     Moderately frail5 (12)–
     Severely frail1 (2)–
     Missing5 (12)–
    Self-rated quality of life†
     Excellent3 (7)–
     Very good9 (21)–
     Good18 (42)–
     Fair9 (21)–
     Poor4 (9)–
    • Note: SD = standard deviation.

    • * Except where noted otherwise.

    • † Based on participant report (patient him- or herself, or family member on behalf of a nonparticipating patient).

    • ‡ Assessed with the Clinical Frailty Scale. (35)

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    Table 2:

    Acceptability of cardiopulmonary resuscitation decision video

    Questionnaire itemNo. (%) of participants
    n = 71
    Amount of information
    Much less than I needed1 (1)
    A little less than I needed5 (7)
    About the right amount58 (82)
    A little more than I needed3 (4)
    A lot more than I needed3 (4)
    Missing1 (1)
    Balance of information about CPR
    Clearly slanted toward having CPR3 (4)
    A little slanted toward having CPR8 (11)
    Completely balanced46 (65)
    A little slanted toward not having CPR12 (17)
    Clearly slanted toward not having CPR1 (1)
    Missing1 (1)
    Clarity of information
    Many things were unclear1 (1)
    Some things were clear1 (1)
    Most things were clear23 (32)
    Everything was clear46 (65)
    Helpfulness in making decisions about CPR
    Not helpful3 (4)
    A little helpful2 (3)
    Somewhat helpful35 (49)
    Very helpful31 (44)
    Would recommend to others
    I would definitely not recommend it1 (1)
    I would probably not recommend it1 (1)
    I would probably recommend it26 (37)
    I would definitely recommend it43 (61)
    Overall rating
    Poor2 (3)
    Fair3 (4)
    Good35 (49)
    Very good21 (30)
    Excellent9 (13)
    Missing1 (1)
    • Note: CPR = cardiopulmonary resuscitation.

    • View popup
    Table 3:

    Decisional Conflict Scale scores before and after the study intervention (n = 49)

    Item*Mean score ± SDChange (95% CI)Effect size
    BeforeAfter
    Total score25.7 ± 17.47.7 ± 8.9−18.1 (−21.8 to −14.3)1.3
    Uncertainty subscore6.1 ± 14.93.6 ± 11.4−2.6 (−6.2 to 1.1)0.2
    Informed subscore48.6 ± 31.015.6 ± 21.1−33.0 (−40.8 to −25.2)1.2
    Values clarity subscore30.1 ± 30.25.1 ± 12.5−25.0 (−32.8 to −17.2)1.1
    Support subscore12.9 ± 21.94.1 ± 14.2−8.8 (−14.4 to −3.3)0.5
    • Note: CI = confidence interval, SD = standard deviation.

    • * Total score: 0 (no decisional conflict) to 100 (extremely high decisional conflict); subscales: 0 (“good” [e.g., “extremely certain”]) to 100 (“bad” [e.g., “extremely uncertain”]).

    • View popup
    Table 4:

    Medical orders for use or nonuse of cardiopulmonary resuscitation at the time of enrolment and after the study intervention (n = 70*)

    CPR order on day of enrolmentLast documented CPR order after study intervention
    CPR†No CPR
    CPR†428
    No CPR218
    • Note: CPR = cardiopulmonary resuscitation.

    • * One participant was excluded from this analysis because the orders in the medical record were unclear and could not be categorized.

    • † Participants without an explicit order for the use or nonuse of CPR are categorized as having an order for CPR in this table since that is what an inpatient would receive by default in the absence of an order to the contrary.

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CMAJ Open: 7 (4)
Vol. 7, Issue 4
1 Oct 2019
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Supporting shared decision-making about cardiopulmonary resuscitation using a video-based decision-support intervention in a hospital setting: a multisite before–after pilot study
John J. You, Dev Jayaraman, Marilyn Swinton, Xuran Jiang, Daren K. Heyland
Oct 2019, 7 (4) E630-E637; DOI: 10.9778/cmajo.20190022

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Supporting shared decision-making about cardiopulmonary resuscitation using a video-based decision-support intervention in a hospital setting: a multisite before–after pilot study
John J. You, Dev Jayaraman, Marilyn Swinton, Xuran Jiang, Daren K. Heyland
Oct 2019, 7 (4) E630-E637; DOI: 10.9778/cmajo.20190022
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