Key PointsQuestion
Does the Family-Centered Advance Care Planning for Teens with Cancer (FACE-TC) intervention sustain agreement about end-of-life treatment preferences 18 months after the intervention?
Findings
In this randomized clinical trial involving 126 adolescent-family dyads, those who received FACE-TC had a 3-fold greater odds of being in the high-congruence class over 12 months, but this significant difference was not sustained at 18 months. Adolescents in the FACE-TC group were significantly more likely to have an advance directive in the electronic health record at study closeout than those in the treatment as usual group (80% vs 19%).
Meaning
Findings of this trial suggest that FACE-TC participation improved congruence between adolescents and their families regarding end-of-life treatment preferences for 1 year; yearly follow-up sessions are indicated.
Importance
The effect of pediatric advance care planning (pACP) on the sustainability of end-of-life treatment preference congruence between adolescents with cancer and their families has not been examined.
Objective
To evaluate the longitudinal efficacy of the Family-Centered Advance Care Planning for Teens with Cancer (FACE-TC) intervention to sustain adolescent-family congruence about end-of-life treatment preferences.
Design, Setting, and Participants
This multisite, assessor-blinded, randomized clinical trial enrolled adolescents with cancer (aged 14-21 years) and their family members from 4 pediatric hospitals between July 16, 2016, and April 30, 2019. Participants were randomized 2:1 to FACE-TC (intervention group) or treatment as usual (control group) and underwent 5 follow-up visits over an 18-month postintervention period. Intention-to-treat analyses were conducted from March 9, 2021, to April 14, 2022.
Exposures
Adolescent-family dyads randomized to the FACE-TC group received 3 weekly 60-minute sessions consisting of the discussion and/or completion of the Lyon Family-Centered Advance Care Planning Survey (session 1), Respecting Choices Next Steps pACP conversation (session 2), and Five Wishes advance directive (session 3). Dyads in the control group received treatment as usual. Both groups received pACP information.
Main Outcomes and Measures
Congruence was measured by completion of the Statement of Treatment Preferences (a document that discusses 4 hypothetical clinical situations and treatment choices for each scenario: continue all treatments, stop all efforts to keep me alive, or unsure) after session 2 (time 1) and at 3 months (time 2), 6 months (time 3), 12 months (time 4), and 18 months (time 5) after intervention. The influence of FACE-TC on the trajectory of congruence over time was measured by longitudinal latent class analysis.
Results
A total of 252 participants (126 adolescent-family dyads) were randomized. Adolescents (mean [SD] age, 17 [1.9] years) and family members (mean [SD] age, 46 [8.3] years) were predominantly female (72 [57%] and 104 [83%]) and White individuals (100 [79%] and 103 [82%]). There was an 83% (104 of 126) retention at the 18-month assessment. Two latent classes of congruence over time were identified: high-congruence latent class (69 of 116 [60%]) and low-congruence latent class (47 of 116 [41%]). The dyads in the FACE-TC group had a 3-fold odds of being in the high-congruence latent class (odds ratio [OR], 3.22; 95% CI, 1.09-9.57) compared with the control group. Statistically significant differences existed at 12 months (β [SE] = 1.17 [0.55]; P = .03]) but not at 18 months (OR, 2.08; 95% CI, 0.92-4.69). In the high-congruence latent class, good agreement (agreement on 2 or 3 of 4 situations) increased over 12 months. White adolescents and families had significantly greater odds of congruence than a small population of American Indian or Alaska Native, Asian, Black or African American, Hispanic or Latino, or multiracial adolescents and families (OR, 3.97; 95% CI, 1.07-14.69).
Conclusions and Relevance
Results of this trial showed that, for those who received the FACE-TC intervention, the families’ knowledge of their adolescents’ end-of-life treatment preferences was sustained for 1 year, suggesting yearly follow-up sessions. Race and ethnicity–based differences in the sustainability of this knowledge reflect a difference in the effect of the intervention and require further study.
Trial Registration
ClinicalTrials.gov Identifier: NCT02693665
Adolescents with a serious illness, their families, and clinicians concur that pediatric advance care planning (pACP) is appropriate.1-4 Key elements of pACP in this population1-6 include (1) giving adolescents a voice in their own end-of-life care, (2) initiating early pACP conversations to close gaps in understanding,7 (3) documenting advance directives in the electronic health record (EHR), and (4) sharing pACP conversations with the treating clinicians to support communication before a medical crisis.8 Various models of pACP for adolescents with a serious illness are being developed,9-13 along with tools to guide conversations.14-16
Although ongoing conversations are recommended,17,18 optimal timing has not been empirically demonstrated.19,20 Timing is important for adolescents with cancer, the leading cause of disease-related death in this age group.21-23 Adolescents with cancer prefer to talk about pACP from the time of diagnosis and not while hospitalized or if they are dying.7,24 Determining whether early pACP conversations are effective over time is critical to patient-centered or family-supported care. The unanswered question is whether families can sustain knowledge of the patients’ treatment preferences over time, even as these preferences change, as demonstrated among adolescents25 and adults26 with HIV.
A theoretically guided, single-site, 3-session intervention called Family-Centered Advance Care Planning for Teens with Cancer (FACE-TC) was pilot-tested and informed by community-based participatory research.27 The pilot trial resulted in congruence about end-of-life treatment preferences.28,29 The FACE (Family-Centered) model has also been pilot-tested in adolescents and young adults, aged 14 to 27 years, who underwent bone marrow transplant.30 In that study, the participants were capable of meaningful deliberation about future treatment choices,30 and their decision-making was influenced by consideration for family, quality of life, and awareness of self.31
The primary aim of this randomized clinical trial was to evaluate the longitudinal efficacy of FACE-TC to sustain adolescent-family congruence about end-of-life treatment preferences. We hypothesized that (1) participants who received FACE-TC would be better at retaining congruence over time compared with participants in the control group who received treatment as usual, (2) the development of congruence would not be homogeneous and that FACE-TC would influence congruence trajectories over time, and (3) adolescents who received FACE-TC would be more likely to have advance directives documented in the EHR at the study closeout compared with control adolescents.
The institutional review board at each study site approved the trial protocol (Supplement 1), and an external safety monitoring committee monitored the trial. Participants provided written informed consent or assent. We followed the Consolidated Standards of Reporting Trials (CONSORT) reporting guideline.
Study Design, Participants, and Setting
Full details of the trial have been published.32 Briefly, this multisite, assessor-blinded, intention-to-treat randomized clinical trial enrolled adolescent-family dyads between July 16, 2016, and April 30, 2019. Dyads were recruited from 4 quaternary pediatric hospitals: Akron Children’s Hospital (Akron, Ohio), Children’s National Hospital (Washington, DC), St Jude Children’s Research Hospital (Memphis, Tennessee), and University of Minnesota Masonic Children’s Hospital (Minneapolis, Minnesota).
Inclusion criteria for adolescents were diagnosis of cancer, 14 to 21 years of age at enrollment, no intellectual disabilities that would interfere with decision-making, ability to speak English (see protocol for Spanish speakers13), and not in foster care. Eligibility criteria for a family member were as a legal guardian (if the adolescent was younger than 18 years) or as the chosen surrogate decision maker (if the adolescent was 18 years or older at enrollment), ability to cognitively engage, ability to speak English, and knowledge of the adolescent’s diagnosis. After enrolling, all participants underwent secondary screening for the exclusion criteria: severe depression,33 homicidality,34 suicidality,33 and/or psychosis.34
Participants received compensation in the amount of $25 for visits 1 to 4 and $35 for visits 5 to 8. Race and ethnicity were identified by participants, per study funder requirements.
Procedures and Randomization
We completed training in the trial protocol. We conducted yearly booster sessions for study staff. Interventionists (including J.D.T.) were nurses who received certification in the Respecting Choices Next Steps program, which required online education about advance care planning (ACP) with continuing education credits and 12 hours of face-to-face training.35,36 One of us (M.E.L.) provided monthly group supervision to interventionists by conference call, which involved video review of the Respecting Choices session and competency criteria checklist.
After consulting with adolescents’ primary oncologists, assessors approached potentially eligible participants face-to-face during outpatient appointments. Visit 1 included enrollment; secondary screening; and, if eligible, completion of baseline questionnaires.
Dyads were randomized 2:1 to either the FACE-TC intervention or treatment as usual (Figure 1). Completion of baseline assessments in the REDCap (Research Electronic Data Capture; Vanderbilt University) database triggered randomization using a computer-generated randomization table. Interventionists notified the participants of their group assignment to protect assessor blinding. Blinded assessors read study questionnaires aloud to the participants. Questionnaires were administered separately to adolescents and their families.
All dyads received usual care and a pACP booklet.37 Dyads who were randomized to the control group received treatment as usual. Dyads who were randomized to FACE-TC received three 60-minute sessions that were conducted weekly. In session 1, the Lyon Family-Centered Advance Care Planning Survey7 was administered separately to the adolescent and family member to prepare them for issues to be discussed in the next 2 sessions. In session 2, the Respecting Choices Next Steps pACP conversation guide35,36 was discussed with the dyad, with the adolescent taking the lead, to explore the adolescent’s understanding of their cancer and its potential complications, experiences with death and dying, and end-of-life treatment preferences. In session 3, the Five Wishes,38 a legal advance directive in most US states, was completed by both the adolescent and family member. For adolescents younger than 18 years, their legal guardian’s signature was required on the Five Wishes document. A copy was given to the family member.
The results and documents from these FACE-TC sessions were then communicated to clinicians in an email by the interventionist, who also entered the documents into the EHR. eTable 1 in Supplement 2 describes the goals and processes of each session.
The Statement of Treatment Preferences is a structured and standardized way to document adolescents’ specific treatment preferences. Family members completed a Statement of Treatment Preferences form separately according to their understanding of the adolescent’s preferences. Four cancer-specific situations and the benefits and burdens of treatment options were discussed: (1) long hospitalization with low chance of survival; (2) treatment to extend life by no more than 3 months, with serious adverse effects; (3) physical impairment; and (4) profound cognitive impairment. Choices for each situation were as follows: to continue all treatments so I could live as long as possible (staying alive is most important to me no matter what), to stop all efforts to keep me alive (my definition of living well is more important than length of life), or unsure. The Statement of Treatment Preferences method has been used in multiple adolescent25,28,30 and adult studies,26,39 increasing its replicability.
Dyadic responses for data analysis were recoded into 2 categories for each situation: congruent vs noncongruent. Unsure responses were coded as noncongruent (ie, no agreement to take a course of action). As a data-reduction strategy, 3 levels of overall agreement were generated based on preferences on the 4 cancer-related situations (poor congruence, agreement in 0-1 situation; good congruence, agreement in 2-3 situations; perfect congruence, agreement in all 4 situations).
Secondary and Exploratory Outcomes Measures
We developed a standardized EHR-based form for data abstraction of any goals of care or advance directives in the EHR before the study and at study closeout.29 Goals-of-care conversations were operationalized as a progress note, family meeting note, or palliative care note in the EHR concerning illness understanding or end-of-life treatment preferences. Data abstraction was conducted by a blinded assessor.
Demographic Characteristics
A standardized form was used to collect self-reported age, sex, gender, and race and ethnicity as well as family-reported educational level and employment status. Reported household income and household size determined the 2016 federal poverty level of the participants. Data abstraction included cancer diagnosis, date of diagnosis, history of relapse, history of bone marrow transplant, and on or off active treatment status.
All intention-to-treat analyses were by original randomization. We used longitudinal latent class analysis (LLCA)40-45 to explore potential latent classes of dyads with respect to trajectories of congruence over time. Longitudinal latent class analysis characterizes both within-person variation and between-person variation and identifies latent classes according to groupings of similar patterns of outcome growth trajectories across time with no assumption about the form of outcome change (ie, an agnostic, data-driven approach). The LLCA models with 3 time points were estimated as time 1 to time 3, time 1 to time 4, and time 1 to time 5. Description of the congruence measure by latent classes is provided in the eAppendix 2 in Supplement 2.
Next, we built a logistic regression model using a 3-step method to estimate the effect of FACE-TC, while controlling for covariates. Details on the LLCA are provided in the eAppendix 1 in Supplement 2. All models were estimated using Mplus, version 8.6 (Muthén and Muthén).45
To evaluate the efficacy of FACE-TC for early completion of pACP goals of care and advance directives, we used χ2 statistics to assess the difference in completion of pACP goals of care and advance directives between participants in the FACE-TC group and those in the control group. Next, exact logistic regression was applied to test the effect of FACE-TC on documentation of goals of care and advance directives in the EHR, while controlling for sociodemographic characteristics.
Data were entered into REDCap, version 8.10.18-2020.46 Statistical significance was set at α = .05. Analyses were conducted from March 9, 2021, to April 14, 2022, using SAS, version 9.4 (SAS Institute Inc).
Participant Characteristics
A total of 252 participants (126 adolescent-family dyads) were randomized (Figure 1). Adolescents had a mean (SD) age of 17 (1.9) years; 72 participants were female (57%), 54 were male (43%), and 100 were White individuals (79%) (Table 1). Family members had a mean (SD) age of 46 (8.3) years; were predominantly female (104 [83%]) and White (103 [82%]) individuals; and included 94 mothers (75%), 19 fathers (15%), and 10 adolescent-chosen nonbiological surrogate decision makers (8%). There were no study-related adverse events.
The primary reason for declining participation was lack of time (76 of 203 dyads [37%]), whereas 46 dyads (23%) declined because at least 1 member of the dyad did not want to discuss ACP (Figure 1). Male adolescents were significantly more likely to decline participation (difference of 14%; 95% CI, 4%-25%; P = .02). There were no significant between-group differences in age, race and ethnicity, cancer diagnosis, and active treatment status between enrollees and decliners.
Retention was 83% (104 of 126 dyads) at 18 months. Benchmarks were achieved: (1) enrollment of 130 dyads, (2) retention of more than 70% of dyads at the 18-month assessment, and (3) 90% of participants who began session 1 completed session 3 of the FACE-TC intervention.
The LLCA models were estimated with different time points immediately after session 2 for dyads in the FACE-TC group or 3 weeks after baseline for the treatment as usual group (time 1) and at 3 months (time 2), 6 months (time 3), 12 months (time 4), and 18 months (time 5) after intervention. Two distinct latent classes were identified using 12 months of data: high-congruence latent class (69 of 116 [60%]) and low-congruence latent class (47 of 116 [41%]). Selected results of the 4 time data (time 1-time 4) of the LLCA for levels of agreement over time by latent class are shown in Figure 2 and eTable 2 in Supplement 2. The probabilities of poor agreement were lower in the high-congruence latent class and reached 0 at time 4 (Figure 2A) compared with the low-congruence latent class (Figure 2B). In the high-congruence latent class, FACE-TC affected the trajectory of congruence, with good agreement (agreement on 2 or 3 of 4 situations) increasing over 12 months and perfect agreement decreasing from time 1 to time 2 and then stabilizing (Figure 2A). Overall, dyadic agreement levels (poor, good, and perfect) varied across latent classes at each time point.
Table 2 shows the actual effect of FACE-TC on class membership, with the mean probability of congruence. The dyads in the FACE-TC group had a 3-fold odds of being in the high-congruence latent class (odds ratio [OR], 3.22; 95% CI, 1.09-9.57), compared with the dyads in the treatment as usual group. Statistically significant differences existed at 12 months (β [SE] = 1.17 [0.55]; P = .03]) (eTable 3 in Supplement 2) in the time 1 to time 4 model. White adolescents and families had significantly greater odds of membership in the high-congruence latent class than a small population of American Indian or Alaska Native, Asian, Black or African American, Hispanic or Latino, or multiracial adolescents and families (OR, 3.97 [95% CI, 1.07-14.69]; β [SE] = 1.38 [0.67]; P = .04) (Table 2; eTable 3 in Supplement 2). The association of 18-month outcomes with latent class membership by intervention was not significant and had an OR of 2.08 (95% CI, 0.92-4.69).
Adolescents in the FACE-TC group compared with those in the treatment as usual group were significantly more likely to have an advance directive in the EHR at study closeout (80% [60 of 75] vs 19% [8 of 42]; P < .001) (Table 3). Documentation of goals-of-care conversations in the EHR at study closeout was low and did not differ between groups (14% [10 of 72] vs 10% [4 of 41]; P = .76) (Table 3). Adolescents in the FACE-TC group vs the treatment as usual group had a 19-fold odds of having an advance directive in the EHR at study closeout (OR, 19.20; 95% CI, 6.84-53.88; P < .05).
Regression analysis found no significant differences in advance directives by adolescent age, sex, and race and ethnicity as well as family household income and educational level (eTable 4 in Supplement 2) or goals of care (eTable 5 in Supplement 2). eTable 6 in Supplement 2 provides descriptive statistics by sex and race and ethnicity.
Among the 7 adolescents who died, 6 (86%) had an advance directive in the EHR at study closeout. Five deaths occurred before completion of the protocol. Treatments that were received 30 days and 7 days before death and the last Statement of Treatment Preferences completed before death are detailed in eTable 7 in Supplement 2. Of the 3 adolescents in the FACE-TC group who died, 1 died before completing a Statement of Treatment Preferences and 2 endorsed the option to stop all treatments to keep me alive in every situation. There was good congruence between adolescents and their families. The 4 adolescents in the treatment as usual group who died endorsed the option to continue all treatments or were unsure with 1 exception: stop all efforts to keep me alive was selected if the adolescent was physically impaired. There was poor congruence in 3 of the 4 dyads.
To our knowledge, this trial was the first to focus on the sustainability of congruence about end-of-life treatment preferences between adolescents with cancer and their families, answering the critical question “Is pACP too early?”47,48 Compared with families in the treatment as usual group, families in the FACE-TC group had a greater than 3-fold odds of membership in the high-congruence latent class, accurately reporting their adolescents’ end-of-life treatment preferences over 12 months after the intervention. This finding replicates that of the FACE trial with adolescents25 and adults26 with HIV, who also had 3-fold the odds of being in the high-congruence group for 1 year after the intervention compared with the active control group. Pediatric ACP in the FACE model highlights the importance of family-centered ACP communication, which integrates communication with the clinician given that many young adults with cancer who complete the ACP document Voicing My Choices4 do not initiate an ACP conversation with their families (35%) or clinicians (91%).49
The decrease in the efficacy of FACE-TC at the 18-month assessment answers another timing question: follow-up is needed at 12 months. Results support pACP as an ongoing process of regoaling (defined as relinquishing one set of goals [eg, curing the condition] and pursuing a new set of goals [eg, maintaining the child's quality of life]),50 which prepares people for future just-in-time decisions.51 With respect to goal-concordant care, adolescents in the FACE-TC group were significantly more likely to give their families leeway to do what they believed was best at the time considering the adolescents' wishes compared with adolescents in the treatment as usual group.52 Clinical outcomes for the 7 adolescents who died during the trial were complex. Although the sample was small, dying adolescents in the FACE-TC group (n = 3) wanted to stop all treatments, which had good family congruence. Dying adolescents in the treatment as usual group (n = 4) were either unsure or wanted to continue all treatments, which had poor congruence in 3 of 4 dyads. Adolescents in the FACE-TC group chose to trust their family members’ judgment to help maintain the quality of their last days of life.
Interventionists entered into the EHR the advance directives of the adolescents. This structure and standardization ensured that not only were advance directives completed but also the institutional mechanisms for filing documents in the EHR were followed in a timely and correct manner. However, similar to the pilot trial,29 the documentation of goals of care in the present trial was lacking. Central, accessible, and standardized formats in the EHR and quality metrics are needed, such as care and communication bundles.29
We found a race and ethnicity–based difference in the sustainability of congruence about end-of-life treatment preferences that was independent of adolescents’ preferences for continuing life-sustaining interventions. Although no race and ethnicity–based differences in congruence were found at time 1,52 over time White adolescents were 4 times more likely to achieve congruence with their families than a small population of American Indian or Alaska Native, Asian, Black or African American, Hispanic or Latino, or multiracial adolescents. The importance of this finding cannot be overstated as it reflects a difference in the effect of the intervention. However, without qualitative data, we cannot explain how the intersection of racism, religion or spirituality, family dynamics, illness, and communication leads to this complex finding. Race and ethnicity–based disparities in pACP, at a minimum, depend on context, the racial and ethnic match of study personnel to participants, geography, and culture.53-56 Data collected in an inclusive fashion and further research with an intention to address the relationship between race and ethnicity and pACP are needed.
We believe this third trial of the FACE model continues to demonstrate the power of ACP conversations to maintain open communication between patients and their families. The findings contribute to the evidence base of best-practice recommendations to guide clinicians on the when, who, what, and how of end-of-life conversations with adolescents with cancer.57 There has been recent debate about the benefits of ACP.58-60 Pediatric ACP in the FACE model helps adolescents with cancer and their families make difficult decisions they may not otherwise discuss. Supporting adolescents in having a voice and enabling them to engage in difficult conversations are worth the time and effort.
Strengths and Limitations
This study has some strengths. The findings confirm the results of 2 other trials of the FACE model,25,26 using a rigorous trial design,61 vigilant blinding of assessors, and high participant retention across a 2-year period, even though the studies were conducted in different patient groups and with different interventionists. This replication of findings provides confidence in the interpretation that the FACE-TC intervention can support long-term family knowledge of their adolescent’s end-of-life treatment preferences.
This study also has some limitations. The participation rate may introduce selection bias and affect generalizability. Randomization generally corrects for bias, and the participation rate was similar to that in adult dyadic longitudinal palliative care studies.62,63 One-fourth of the potentially eligible dyads declined participation because they did not want to talk about pACP. Honoring an adolescent’s right to defer end-of-life decisions to their family or physician is important in showing respect for their autonomy and should not impede program implementation. Generalizability was also limited by the small number of participants from racial and ethnic minority groups. Social desirability bias could have occurred with the face-to-face administration of study questionnaires. Persons who could not speak or understand English were excluded because the intervention required the signing of a legal document. The protocol has since been adapted for Spanish-speaking participants.13 The refusal of many male adolescents to participate is consistent with the adult literature, which has shown that male individuals are generally less likely to participate in clinical trials of ACP.64 The predominance of female family members reflects that, in general, women are more likely than men to be in caregiving roles.65
The results were generalizable to White female adolescents whose families reported having college-level education and access to tertiary children’s specialty hospitals. We do not know if adolescents with hematologic cancer were less likely to participate in ACP or complete an advance directive than adolescents with solid tumors, which has been found in adults.66 The results of this trial were based on a thorough analysis of the missing data to provide an estimate of end-of-life treatment congruence at 12 months after FACE-TC (eAppendix 1 in Supplement 2; Figure 1).
This randomized clinical trial found that families’ knowledge of their adolescents’ end-of-life treatment preferences was sustained for 1 year after the FACE-TC intervention, suggesting the need for yearly follow-up sessions. Race and ethnicity–based differences in the sustainability of this congruent knowledge reflect the difference in the effect of FACE-TC and require further study. The findings contribute to the when, who, what, and how of pACP with adolescents with cancer.
Accepted for Publication: May 19, 2022.
Published: July 12, 2022. doi:10.1001/jamanetworkopen.2022.20696
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2022 Needle JS et al. JAMA Network Open.
Corresponding Author: Maureen E. Lyon, PhD, Center for Translational Research/Children’s National Research Institute, Children’s National Hospital, 111 Michigan Ave NW, Washington, DC 20010-2970 (mlyon@childrensnational.org).
Author Contributions: Dr Wang and Ms Jiang had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: Needle, Friebert, Baker, Wang, Lyon.
Acquisition, analysis, or interpretation of data: All authors.
Drafting of the manuscript: Needle, Friebert, Grossoehme, Wang, Lyon.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Jiang, Wang.
Obtained funding: Lyon.
Administrative, technical, or material support: Needle, Friebert, Thompkins, Grossoehme, Lyon.
Supervision: Friebert, Thompkins, Grossoehme, Lyon.
Conflict of Interest Disclosures: Dr Lyon reported receiving grants from NINR during the conduct of the study and holding the copyright to the Lyon Family Centered Advance Care Planning Survey. No other disclosures were reported.
Funding/Support: This study was supported by award 5R01 NR015458 from the NIH NINR (Dr Lyon). This research was facilitated by the services and resources provided by grants UL1TR0000075 and UL1RR03198 from the Clinical and Translational Science Institute at Children’s National.
Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Data Sharing Statement: See Supplement 3.
Additional Contributions: We are grateful to the adolescents and their families who participated in this study. We also thank the following staff members at Akron Children's Hospital, Children's National Hospital, St Jude Children's Research Hospital, and University of Minnesota Masonic Children's Hospital for their assistance with the intervention and/or data collection: Jessica Livingston, MPH; Susan M. Flesch, CRA; Robin Wilcox, BSN, RN; Jami S. Gattuso, MSN, RN, CPON; Jennifer Zabrowski, AA; Melanie Gattas, CRA, AA; Valerie Shaner, RRT, NPS; Aliana Martinez, PhD; Rachel Jenkins, MA; Elaine Churney, RN; and Kristine Allmendinger-Goertz, CCRC. These individuals received no additional compensation, outside of their usual salary, for their contributions.
1.Hein
K, Knochel
K, Zaimovic
V,
et al. Identifying key elements for paediatric advance care planning with parents, healthcare providers and stakeholders: a qualitative study.
Palliat Med. 2020;34(3):300-308. doi:
10.1177/0269216319900317
PubMedGoogle ScholarCrossref 2.Fahner
JC, Thölking
TW, Rietjens
JAC, van der Heide
A, van Delden
JJM, Kars
MC. Towards advance care planning in pediatrics: a qualitative study on envisioning the future as parents of a seriously ill child.
Eur J Pediatr. 2020;179(9):1461-1468. doi:
10.1007/s00431-020-03627-2
PubMedGoogle ScholarCrossref 3.Lyon
ME, Garvie
PA, Briggs
L, He
J, McCarter
R, D’Angelo
LJ. Development, feasibility, and acceptability of the Family/Adolescent-Centered (FACE) Advance Care Planning intervention for adolescents with HIV.
J Palliat Med. 2009;12(4):363-372. doi:
10.1089/jpm.2008.0261
PubMedGoogle ScholarCrossref 4.Wiener
L, Bedoya
S, Battles
H,
et al. Voicing their choices: advance care planning with adolescents and young adults with cancer and other serious conditions.
Palliat Support Care. 2021:1-9. doi:
10.1017/S1478951521001462
Google ScholarCrossref 8.Needle
JS, Peden-McAlpine
C, Liaschenko
J. Physicians’ perspectives on adolescent and young adult advance care planning: the fallacy of informed decision making.
J Clin Ethics. 2019;30(2):131-142.
PubMedGoogle Scholar 9.Fladeboe
KM, O’Donnell
MB, Barton
KS,
et al. A novel combined resilience and advance care planning intervention for adolescents and young adults with advanced cancer: a feasibility and acceptability cohort study.
Cancer. 2021;127(23):4504-4511. doi:
10.1002/cncr.33830
PubMedGoogle ScholarCrossref 10.DeCourcey
DD, Partin
L, Revette
A, Bernacki
R, Wolfe
J. Development of a stakeholder driven serious illness communication program for advance care planning in children, adolescents, and young adults with serious illness.
J Pediatr. 2021;229:247-258.e8. doi:
10.1016/j.jpeds.2020.09.030
PubMedGoogle ScholarCrossref 12.van Driessche
A, De Vleminck
A, Gilissen
J,
et al. Advance care planning for adolescents with cancer and their parents: study protocol of the BOOST pACP multi-centre randomised controlled trial and process evaluation.
BMC Pediatr. 2021;21(1):376. doi:
10.1186/s12887-021-02841-7PubMedGoogle ScholarCrossref 13.Lyon
ME, Arem
H, Jacobs
SS. Health disparities: barriers to building evidence for effective palliative end-of-life care for Spanish-speaking teens with cancer.
Clin Pract Pediatr Psychol. 2021;9(3):308-317. doi:
10.1037/cpp0000417
Google ScholarCrossref 14.Katz
NT, Sacks
BH, Hynson
JL, Heywood
M, Williams
M, Sokol
J. Improving paediatric advance care planning: results of a learning needs analysis and simulation-based education programme.
J Paediatr Child Health. 2020;56(12):1898-1905. doi:
10.1111/jpc.15074
PubMedGoogle ScholarCrossref 15.Moon
YJ, Lee
J, Choo
IS,
et al. Development and application of advance care planning workbooks to facilitate communication with children and adolescent patients: a pilot test.
J Hosp Palliat Care. 2020;23(4):212-227. doi:
10.14475/kjhpc.2020.23.4.212
Google ScholarCrossref 16.Snaman
JM, Helton
G, Holder
RL, Revette
A, Baker
JN, Wolfe
J. Identification of adolescents and young adults’ preferences and priorities for future cancer treatment using a novel decision-making tool.
Pediatr Blood Cancer. 2021;68(1):e28755. doi:
10.1002/pbc.28755
PubMedGoogle ScholarCrossref 19.Houben
CHM, Spruit
MA, Schols
JMGA, Wouters
EFM, Janssen
DJA. Instability of willingness to accept life-sustaining treatments in patients with advanced chronic organ failure during 1 year.
Chest. 2017;151(5):1081-1087. doi:
10.1016/j.chest.2016.12.003
PubMedGoogle ScholarCrossref 23.Suh
E, Stratton
KL, Leisenring
WM,
et al. Late mortality and chronic health conditions in long-term survivors of early-adolescent and young adult cancers: a retrospective cohort analysis from the Childhood Cancer Survivor Study.
Lancet Oncol. 2020;21(3):421-435. doi:
10.1016/S1470-2045(19)30800-9
PubMedGoogle ScholarCrossref 24.Jacobs
S, Perez
J, Cheng
YI, Sill
A, Wang
J, Lyon
ME. Adolescent end of life preferences and congruence with their parents’ wishes: results of a survey of adolescents with cancer.
Pediatr Blood Cancer. 2015;62(4):710-714. doi:
10.1002/pbc.25358
PubMedGoogle ScholarCrossref 26.Lyon
ME, Caceres
S, Scott
RK,
et al; Palliative Care Consortium. Advance care planning–complex and working: longitudinal trajectory of congruence in end-of-life treatment preferences: an RCT.
Am J Hosp Palliat Care. 2021;38(6):634-643. doi:
10.1177/1049909121991807
PubMedGoogle ScholarCrossref 27.Lyon
ME, Jacobs
S, Briggs
L, Cheng
YI, Wang
J. A longitudinal, randomized, controlled trial of advance care planning for teens with cancer: anxiety, depression, quality of life, advance directives, spirituality.
J Adolesc Health. 2014;54(6):710-717. doi:
10.1016/j.jadohealth.2013.10.206
PubMedGoogle ScholarCrossref 30.Needle
JS, Peden-McAlpine
C, Liaschenko
J,
et al. “Can you tell me why you made that choice?”: a qualitative study of the influences on treatment decisions in advance care planning among adolescents and young adults undergoing bone marrow transplant.
Palliat Med. 2020;34(3):281-290. doi:
10.1177/0269216319883977
PubMedGoogle ScholarCrossref 31.Needle
J, Brunnquel
D, Lyon
M, Heith
C. Mature minors, mature decisions: advance care planning for adolescent patients with life-limiting illness.
J Pediatr Ethics. 2018;1(3).
Google Scholar 33.Beck
AT, Steer
RA, Brown
GK. Manual for the Beck Depression Inventory-II. Psychological Corporation; 1996.
34.Shaffer
D, Fisher
P, Dulcan
MK,
et al. The NIMH Diagnostic Interview Schedule for Children, Version 2.3 (DISC-2.3): description, acceptability, prevalence rates, and performance in the MECA study.
J Am Acad Child Adolesc Psychiatry. 1996;35(7):865-877. doi:
10.1097/00004583-199607000-00012
PubMedGoogle ScholarCrossref 36.Hammes
BJ, Briggs
L. Respecting Choices: Palliative Care Facilitator Manual. Gundersen Lutheran Medical Foundation; 2000.
40.Feldman
BJ, Masyn
KE, Conger
RD. New approaches to studying problem behaviors: a comparison of methods for modeling longitudinal, categorical adolescent drinking data.
Dev Psychol. 2009;45(3):652-676. doi:
10.1037/a0014851
PubMedGoogle ScholarCrossref 42.Wang
J, Wang
X. Structural Equation Modeling: Applications Using Mplus. John Wiley & Sons Inc; 2020.
46.Harris
PA, Taylor
R, Thielke
R, Payne
J, Gonzalez
N, Conde
JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support.
J Biomed Inform. 2009;42(2):377-381. doi:
10.1016/j.jbi.2008.08.010
PubMedGoogle ScholarCrossref 47.Field
MJ, Behrman
RE, eds. When Children Die: Improving Palliative and End-of-Life Care for Children and Their Families. National Academies Press; 2003.
48.Committee on Approaching Death: Addressing Key End of Life Issues; Institute of Medicine. Dying in America: Improving Quality and Honoring Individual Preferences Near the End of Life. National Academies Press; 2015.
49.Bedoya
SZ, Fry
A, Gordon
ML. Adolescent and young adult initiated discussions of advance care planning: family member, friend and health care provider perspectives.
Front Psychol. Published online June 8, 2022. doi:
10.3389/fpsyg.2022.871042Google ScholarCrossref 55.Troyer
JL, McAuley
WJ. Environmental contexts of ultimate decisions: why White nursing home residents are twice as likely as African American residents to have an advance directive.
J Gerontol B Psychol Sci Soc Sci. 2006;61(4):S194-S202. doi:
10.1093/geronb/61.4.S194
PubMedGoogle ScholarCrossref 56.Elk
R, Emanuel
L, Hauser
J, Bakitas
M, Levkoff
S. Developing and testing the feasibility of a culturally based tele-palliative care consult based on the cultural values and preferences of southern, rural African American and White community members: a program by and for the community.
Health Equity. 2020;4(1):52-83. doi:
10.1089/heq.2019.0120
PubMedGoogle ScholarCrossref 57.Sansom-Daly
UM, Wakefield
CE, Patterson
P,
et al. End-of-life communication needs for adolescents and young adults with cancer: recommendations for research and practice.
J Adolesc Young Adult Oncol. 2020;9(2):157-165. doi:
10.1089/jayao.2019.0084PubMedGoogle ScholarCrossref 63.Bakitas
M, Lyons
KD, Hegel
MT,
et al. Effects of a palliative care intervention on clinical outcomes in patients with advanced cancer: the Project ENABLE II randomized controlled trial.
JAMA. 2009;302(7):741-749. doi:
10.1001/jama.2009.1198
PubMedGoogle ScholarCrossref