Hostname: page-component-848d4c4894-4hhp2 Total loading time: 0 Render date: 2024-05-30T06:55:24.012Z Has data issue: false hasContentIssue false

A pilot randomized study of a telephone-based cognitive-behavioral stress-management intervention to reduce distress in phase 1 oncology trial caregivers

Published online by Cambridge University Press:  30 March 2023

Alaina L. Carr*
Affiliation:
Department of Psychology, University of Colorado Denver, Denver, CO, USA Lombardi Comprehensive Cancer Center, Cancer Prevention and Control, Washington, DC, USA
Emily Bilenduke
Affiliation:
Department of Psychology, University of Colorado Denver, Denver, CO, USA
Esmeralda Adolf
Affiliation:
Department of Psychology, University of Colorado Denver, Denver, CO, USA
Elizabeth R. Kessler
Affiliation:
Division of Medical Oncology, Department of Medicine, University of Colorado, Aurora, CO, USA
Joanna J. Arch
Affiliation:
Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
Krista W. Ranby
Affiliation:
Department of Psychology, University of Colorado Denver, Denver, CO, USA
Kristin Kilbourn
Affiliation:
Department of Psychology, University of Colorado Denver, Denver, CO, USA
*
Author for correspondence: Alaina L. Carr, Lombardi Comprehensive Cancer Center, Cancer Prevention and Control, 2115 Wisconsin Ave, NW, Suite 300, Washington, DC 20007, USA. Email: alc343@georgetown.edu
Rights & Permissions [Opens in a new window]

Abstract

Objectives

Caregivers of adult phase 1 oncology trial patients experience high levels of distress and face barriers to in-person supportive care. The Phase 1 Caregiver LifeLine (P1CaLL) pilot study assessed the feasibility, acceptability, and general impact of an individual telephone-based cognitive behavioral stress-management (CBSM) intervention for caregivers of phase I oncology trial patients.

Methods

The pilot study involved 4 weekly adapted CBSM sessions followed by participant randomization to 4 weekly cognitive behavioral therapy sessions or metta-meditation sessions. A mixed-methods design used quantitative data from 23 caregivers and qualitative data from 5 caregivers to examine the feasibility and acceptability outcomes. Feasibility was determined using recruitment, retention, and assessment completion rates. Acceptability was assessed with self-reported satisfaction with program content and participation barriers. Baseline to post-intervention changes in caregiver distress and other psychosocial outcomes were assessed for the 8-session intervention.

Results

The enrollment rate was 45.3%, which demonstrated limited feasibility based on an a priori criterion enrollment rate of 50%. Participants completed an average of 4.9 sessions, with 9/25 (36%) completing all sessions and an 84% assessment completion rate. Intervention acceptability was high, and participants found the sessions helpful in managing stress related to the phase 1 oncology trial patient experience. Participants showed reductions in worry and isolation and stress.

Significance of results

The P1CaLL study demonstrated adequate acceptability and limited feasibility and provided data on the general impact of the intervention on caregiver distress and other psychosocial outcomes. Caregivers of phase 1 oncology trial patients would benefit from supportive care services; a telephone-based intervention may have more utilization and thus make a larger impact.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press.

Introduction

Caregivers of phase 1 oncology trial patients are a distressed population (Kessler et al. Reference Kessler, Moss and Eckhardt2014; Kogan et al. Reference Kogan, Tolley and Cohen2022; Rezash et al. Reference Rezash, Reed and Gedeon2019). Caregiver distress stems from the multiple stressors related to the phase 1 oncology trial experience, as these trials are first in human safety studies of a new pharmacological agent (Weber et al. Reference Weber, Levit and Adamson2015). The trial design incorporates numerous tests or procedures to gather maximal safety and efficacy data to inform future drug development (Weber et al. Reference Weber, Levit and Adamson2015). Patients who enroll in phase 1 oncology trials have generally exhausted standard treatment approaches. Furthermore, the median survival of phase 1 oncology trial patients is approximately 5–9 months, and participation in these trials often precludes enrollment in hospice care (Cassel et al. Reference Cassel, Del Fabbro and Arkenau2016; Ferrell et al. Reference Ferrell, Chung and Koczywas2017; Rezash et al. Reference Rezash, Reed and Gedeon2019; Sun et al. Reference Sun, Cooke and Chung2014). Therefore, caregivers are critical members of patients’ care teams to meet trial requirements.

Caregivers have higher levels of stress related to phase 1 oncology trial participation, travel requirements, family-related burdens, and end-of-life concerns compared to patients (Kessler et al. Reference Kessler, Moss and Eckhardt2014; Rezash et al. Reference Rezash, Reed and Gedeon2019). Additionally, caregivers of phase 1 oncology trial patients reported worse coping compared to dementia caregivers and higher levels of anxiety, perceived stress, depressive symptoms, and impaired emotional regulation than population norms (Kessler et al. Reference Kessler, Moss and Eckhardt2014). Thus, caregivers of phase 1 oncology trial patients are at risk for negative outcomes (low social support, mood, increased morbidity, and mortality) due to the myriad of physical, emotional, and mental stressors associated with the trial and demands of caregiving (Bevans and Sternberg Reference Bevans and Sternberg2012; Northouse et al. Reference Northouse, Williams and Given2012). However, research to date on this caregiver population is cross-sectional (Kessler et al. Reference Kessler, Moss and Eckhardt2014; Rezash et al. Reference Rezash, Reed and Gedeon2019) or exploratory (Kogan et al. Reference Kogan, Tolley and Cohen2022), and there are no longitudinal evidenced-based interventions focused on addressing the specific needs of this population.

Consistent evidence indicates that cognitive behavioral stress-management interventions (CBSM) are effective in reducing stress and improving positive affect, quality of life, coping, and benefit finding among various patient populations (Antoni et al. Reference Antoni, Baggett and Ironson1991, Reference Antoni, Lehman and Kilbourn2001; Penedo et al. Reference Penedo, Fox and Walsh2021, Reference Penedo, Traeger and Dahn2007; Walsh et al. Reference Walsh, Antoni and Popok2022; Wang et al. Reference Wang, Bouchard and Gudenkauf2018). CBSM helps increase participant awareness of sources of stress, identify and challenge distorted thoughts, utilize adaptive coping skills, and manage physical tension (Antoni Reference Antoni2003; Antoni et al. Reference Antoni, Lechner and Kazi2006; Wang et al. Reference Wang, Bouchard and Gudenkauf2018). CBSM combines cognitive behavioral techniques and relaxation training to show improved psychological adaption among various medical populations (Antoni et al. Reference Antoni, Baggett and Ironson1991, Reference Antoni, Lechner and Kazi2006, Reference Antoni, Lehman and Kilbourn2001; Gudenkauf et al. Reference Gudenkauf, Antoni and Stagl2015; Kilbourn et al. Reference Kilbourn, Costenaro and Madore2011; Penedo et al. Reference Penedo, Fox and Walsh2021, Reference Penedo, Traeger and Dahn2007; Walsh et al. Reference Walsh, Antoni and Popok2022; Wang et al. Reference Wang, Bouchard and Gudenkauf2018).

CBSM interventions have been adapted for caregivers of bone marrow transplant patients and hospice patients (Kilbourn et al. Reference Kilbourn, Costenaro and Madore2011; Laudenslager et al. Reference Laudenslager, Simoneau and Kilbourn2015; Simoneau et al. Reference Simoneau, Kilbourn and Spradley2017). An adapted CBSM pilot intervention for hospice caregivers, the Caregiver LifeLine (CaLL) study, focused on coping, social support, self-care, logistical issues, and bereavement as key content areas based on a qualitative needs assessment study with 36 hospice caregivers (Kutner et al. Reference Kutner, Kilbourn and Costenaro2009). The CaLL study examined the feasibility and acceptability of a 10-week individual telephone counseling intervention to improve coping skills and integrate a sense of meaning into caregiver activities (Kilbourn et al. Reference Kilbourn, Costenaro and Madore2011). The CaLL intervention reduced symptoms of depression and improved the emotional and social quality of life among caregivers of patients receiving hospice care. The CaLL intervention was feasible and acceptable; post-intervention interview data indicated that hospice caregivers were satisfied with the intervention and telephone modality.

Emerging research has shown that mindfulness-based meditation interventions reduce negative affect and increase positive affect in the general population (Luberto et al. Reference Luberto, Hall and Park2020) and reduce avoidant coping, psychological distress, and family caregiver burden in pilot studies of caregivers of advanced-stage cancer patients (Hofmann et al. Reference Hofmann, Grossman and Hinton2011; Johns et al. Reference Johns, Beck-Coon and Stutz2020). Mindfulness-based meditation interventions include loving-kindness meditation, also known as metta-meditation, which refers to an unconditionally loving and kindness meditation technique directed toward all beings. Metta-meditation begins with a focus on the self and then a gradual expansion to a loved one, a neutral person, a difficult person, and all beings (Hofmann et al. Reference Hofmann, Grossman and Hinton2011; Telke et al. Reference Telke, Leininger and Hanson2022). Mindfulness-based meditation may provide useful strategies for targeting distress, experiential avoidance, and coping with the medical realities faced by long-term caregivers such as caregivers of phase 1 oncology trial patients when combined with evidenced-based treatments (Hofmann et al. Reference Hofmann, Grossman and Hinton2011; Johns et al. Reference Johns, Beck-Coon and Stutz2020; Telke et al. Reference Telke, Leininger and Hanson2022).

Several studies found that telephone-delivered interventions effectively reduce depression, distress, and burden among caregiver populations (Eisdorfer et al. Reference Eisdorfer, Czaja and Loewenstein2003; Wilz et al. Reference Wilz, Reder and Meichsner2017; Wilz and Soellner Reference Wilz and Soellner2016). Cancer caregivers face many barriers to face-to-face psychosocial interventions including logistical problems, lack of free time, reluctance to leave the patient alone for extended periods, cost, and caregiver health problems (Kilbourn et al. Reference Kilbourn, Costenaro and Madore2011; Laudenslager et al. Reference Laudenslager, Simoneau and Kilbourn2015; Wilz and Soellner Reference Wilz and Soellner2016). Telephone-delivered interventions are viable solutions to these barriers and can provide much-needed support services to cancer caregivers.

The Phase 1 CaLL (P1CaLL) intervention was adapted from the CaLL study (Kilbourn et al. Reference Kilbourn, Costenaro and Madore2011) to fit the identified needs of caregivers of phase 1 oncology trial patients. The adaption of the P1CaLL intervention involved a series of focus groups conducted by coauthors (E.R.K. and K.K.) with stakeholders consisting of phase 1 oncology trial caregivers to better understand their unique needs and to elicit direct feedback on the intervention content and mode of telephone delivery. The adapted CBSM session topics were further selected based on the relationship to the transactional model of stress and coping (Folkman and Lazarus Reference Folkman and Lazarus1984) and stakeholder focus group endorsement. The use of the telephone as a mechanism of intervention delivery was informed by stakeholder feedback, CaLL intervention participant satisfaction with the telephone delivery of the CaLL intervention (Kilbourn et al. Reference Kilbourn, Costenaro and Madore2011), and the potential to offer greater access and convenience by eliminating geographic and technologic barriers. The P1CaLL intervention included 4 adapted CBSM sessions along with a traditional cognitive behavioral therapy (CBT) component or with a metta-meditation component designed to enhance adaptive coping with managing stress and uncertainty, increasing caregiver self-efficacy in applying coping skills, and promote a sense of meaning and purpose (Supplementary Appendix 1).

The goals of this pilot randomized study were to (1) assess the feasibility and acceptability of a psychosocial intervention delivered by telephone and (2) provide a preliminary assessment of the general impact of the intervention on caregiver distress and other psychosocial outcomes.

Methods

Participants

The eligibility criteria included the following: (1) self-identification as a primary caregiver for a phase 1 oncology trial patient, (2) completion of the Patient Health Questionnaire (PHQ-4) (Kroenke et al. Reference Kroenke, Spitzer and Williams2009) screener with a total score of ≥3, (3) stated willingness to comply with all study procedures and availability for the duration of the study, (4) ≥18 years old, (5) consistent access to a telephone, (6) ability to read and understand English, (7) absence of cognitive or psychiatric conditions prohibiting participation (significant developmental or intellectual disability), and (8) not enrolled in another psychosocial intervention research study. Study participation did not restrict potential participant engagement in any mental health services.

Procedures

Oncology providers identified caregivers from a phase 1 oncology trial clinic. Eligibility screening and written informed consent occurred during patients’ treatment visits or provider appointments. After consenting to the study, the study staff administered participants the PHQ-4 to establish final eligibility. Participants were eligible if their PHQ-4 total score was ≥3 across all 4 items, which indicated mild to severe distress (Kroenke et al. Reference Kroenke, Spitzer and Williams2009). After baseline assessment completion, a master’s level clinician provided participants with 8 individual weekly intervention sessions. Participants received 4 CBSM sessions over the telephone and then were randomized to receive 4 weekly CBT sessions or 4 weekly metta-meditation sessions. Nine weeks after enrollment, participants completed the online post-intervention assessment of acceptability and secondary outcome measures. A subsample (n = 5) of participants who completed all 8 intervention sessions and the post-intervention assessment completed an exit interview conducted by study staff (E.B.).

P1CaLL intervention

Caregivers received a P1CaLL participant workbook which consisted of visual aids, homework activities, and in-session exercises for the first 4 CBSM sessions. Telephone-based session scheduling occurred around participant work and caregiving schedules. Participants received instructions to use their workbooks during each 45- to 60-min telephone session and to complete homework activities (relaxation exercises, pleasurable activities, and coping strategies) between sessions to enhance self-efficacy in skills.

After completing the first 4 CBSM sessions, participants were randomly allocated 1:1 to receive 4 CBT or 4 metta-meditation telephone-based sessions (Figure 1). Participants in the CBT intervention received emailed workbook exercises to use during sessions. Participants in the metta-mediation intervention received emailed meditation logs for between-session use and daily 15-min metta-meditation audio recordings. Caregivers who lost the person they cared for during the study were offered an optional grief and loss session. See Supplementary Appendix 1 for an overview of the P1CaLL sessions.

Fig. 1. Consort study diagram.

Measures

Participants completed questionnaires at baseline and post-intervention via REDCap 9 weeks after enrollment. Sociodemographic questions included age, sex, race, marital status, employment status, relationship to the patient, and hours per week spent caregiving.

Primary outcomes

The primary outcomes were the feasibility and acceptability of the overall intervention. A priori benchmarks of feasibility were based on prior research of advanced cancer caregivers (Heynsbergh et al. Reference Heynsbergh, Heckel and Botti2018; Northouse et al. Reference Northouse, Schafenacker and Barr2014) and defined by the recruitment of ≥50% of those approached enrolling in the study and by the retention of ≥50% of participants completing all sessions. Additional feasibility outcomes included assessment completion rates and the mean number of sessions delivered. Quantitative benchmarks of intervention acceptability included an 11-point Likert scale of acceptability at post-assessment with a goal of at least average ratings. The qualitative evaluation of the intervention acceptability addressed the timing of assessments, respondent burden, and subjective efficacy.

Secondary outcomes

Secondary outcomes were caregiver distress and other psychosocial variables measured at baseline and post-intervention. Changes in symptoms of distress were measured by the Depression Anxiety Stress Scale (DASS-21), a measure of 3 related negative emotional states of depression, anxiety, and stress (Lovibond and Lovibond Reference Lovibond and Lovibond1995).

The Caregiver Reaction Assessment (CRA) included positive and negative dimensions of caregiver burden (Nijboer et al. Reference Nijboer, Triemstra and Tempelaar1999). The Positive Aspects of Caregiving (PAC) measured the psychosocial benefits of caregiving. The PAC included 2 subscale scores: self-affirmation and outlook on life, in addition to the overall PAC (Tarlow et al. Reference Tarlow, Wisniewski and Belle2004). The Marwit–Meuser Caregiver Grief Inventory (CGI) Short Form consisted of 18 items, and the total score and subscale scores measured factors of personal sacrifice burden, heartfelt sadness and longing, and worry and felt isolation (Marwit and Meuser Reference Marwit and Meuser2005). The PHQ-4 measured symptoms of anxiety and depression (Kroenke et al. Reference Kroenke, Spitzer and Williams2009). The Patient-Reported Outcomes Measurement Information System (PROMIS)-Ca Bank v1.0–Anxiety assessed symptoms of fear, worry, panic, tension, nervousness, and restlessness (Garcia et al. Reference Garcia, Cella and Clauser2007). The 30-item Automatic Thought Questionnaire (ATQ) measured the frequency and belief of automatic negative thoughts associated with depression (Burgess and Haaga Reference Burgess and Haaga1994). The 26-item Self-Compassion Scale (SCS) assessed thoughts, behaviors, and emotions associated with self-compassion (Neff Reference Neff2003). The Dysfunctional Attitude Scale (DAS-24) measured the presence and intensity of dysfunctional attitudes and consists of 24 items; each item contained a statement and a 7-point Likert scale (1 = fully disagree, 7 = fully agree) (Power et al. Reference Power, Katz and McGuffin1994).

Statistical analysis

Quantitative analyses conducted in the Statistical Package for the Social Sciences version 26 software included descriptive statistics and estimations of effect sizes due to the limited sample size (N = 25). Chi-squared tests identified systematic differences between those who enrolled and those who did not enroll in the trial. The Wilcoxon test (τ) for continuous variables and Fisher’s exact test for categorical variables were used to identify the impact of the intervention on secondary outcomes. Within-group effect sizes were calculated (r = z/ $\sqrt N$) (Fritz et al. Reference Fritz, Morris and Richler2012). Cohen’s guidelines for r effect sizes were utilized (r = .1 is small, r = .3 is medium, and r = .5 is large) (Cohen Reference Cohen1988; Fritz et al. Reference Fritz, Morris and Richler2012). The study was not powered to make comparisons between or across subjects. Participants were used as their own control, and baseline and post-intervention scores were compared to assess a general signal of the impact of the intervention on secondary outcomes.

The qualitative data were analyzed using applied thematic analysis, an inductive approach to identify broad themes and subthemes within the exit interview data (Braun and Clarke Reference Braun and Clarke2006). The analysis involved systematically organizing data using open coding software ATLAS.ti v. 8 and continuous comparisons across coded data to extract salient themes.

Results

Feasibility

Forty-three (recruitment = 45.3%) of the 95 caregivers who approached consented to enroll in the study (Figure 1). Reasons for caregiver study refusal (n = 19) included self-reported adequate support networks (church, support groups, and family support), disinterest, or busy work and caregiver schedules. Eighteen caregivers were further excluded due to PHQ-4 total scores <3. Twenty-three of the 25 consented participants completed the baseline assessment. Twenty participants completed the first intervention session, the mean number of sessions delivered was 4.9 (SD = 4.2), and 9 participants completed all 8 intervention sessions (retention = 36%). On average, participants completed the 8 intervention sessions in 10.9 weeks (SD = 2.98). Twenty-one participants completed both assessment points (assessment completion rate = 84%). There were no significant differences in sociodemographic or clinical variables between participants who completed the intervention compared to those who did not (Supplementary Appendix 2). See Table 1 for the baseline sociodemographic and caregiver characteristics.

Table 1. Sociodemographic and caregiving characteristics (N = 23)

a Two caregivers preferred not to answer.

b One caregiver responded, “less than a year.”

Acceptability

See Figure 2 for the average acceptability ratings among participants who completed all sessions and the post-assessment. A subset of these participants (n = 5) provided qualitative data regarding participant satisfaction with the session content and modality (Supplementary Appendix 3).

Fig. 2. Program acceptability outcomes.

For many, the P1CaLL sessions increased awareness of adaptive stress management and coping relaxation exercises. Participants felt that session content normalized their caregiver experience, introduced beneficial stress-management skills, emphasized useful health behavior change strategies, and helped caregivers meet the needs of the person they care for. Several participants indicated that the stress-management skills learned in the program better prepared them for the stress affiliated with the phase 1 oncology trial. Several participants who completed the metta-meditation sessions explained that repeating phrases of love and kindness out loud helped decrease feelings of “hopelessness” and served as a daily reminder that they are “good people.” Many participants who completed the CBT intervention sessions reflected on how identifying unhelpful thinking styles was “powerful” in increasing their self-awareness of irrational thinking and the long-term unintended health consequences of this type of thinking. Many participants indicated the usefulness of the session content material depending on the relevance of the material to their caregiver roles. Participants provided neutral or negative descriptions of sessions that did not directly apply to their caregiving experience. For example, one caregiver said he did not relate to the social support session because he already had a strong social network. Overall, participants found the telephone-based modality of the P1CaLL program to be “convenient, time-saving, and practical.” All participants reported satisfaction with the total number and length of sessions.

Participants provided suggestions for improving the program. Several participants reported the telehealth and in-person community-based supportive resources provided at the end of the P1CaLL program did not target phase 1 oncology trial caregiver needs specifically, and caregivers’ demanding schedules conflicted with community program start times. These participants recommended including comparable community-based programs in future program iterations. Several participants reported a desire for initial face-to-face contact with the study interventionist before starting telephone-based sessions. Participants’ preference for initial face-to-face contact with the study interventionist was described as an “opportunity” to build rapport and improve participant “connection” with session material. One participant recommended scheduling sessions via text message. A full-time working caregiver expressed the need for a session that included strategies for managing guilt and distress associated with balancing work and caregiver-related responsibilities. Several participants recommended 1–2 booster sessions to review program information and relaxation exercises such as coping skills, metta-meditation practice, or CBT information.

Secondary psychosocial outcomes

Baseline and post-intervention mean, SDs, and effect sizes are presented in Table 2. Data showed a large effect for CGI decrease in worry and felt isolation (r = −.52) and increase in DAS-24 self-control (r = .51). Medium effects were found for CRA health problems (r = .43) and a decrease in symptoms of DASS-21 stress (r = −.39). A small effect was found for a decrease in CRA financial problems (r = −.27), CRA lack of family support (r = −.20), CRA disrupted schedules (r = −.19), CGI heartfelt sadness and longing (r = −.12), SCS over identification (r = −.17), SCS common humanity (r = −.10), CGI total overall grief (r = −.28), and anxiety (PROMIS, r = −.21; DASS-21, r = −.16). Data yielded a small effect for increased SCS mindfulness (r = .22) and self-judgment (r = .20). No effects were found for symptoms of depression (DASS-21), anxiety (PHQ-4), positive benefit finding (PAC), personal sacrifice burden (CGI), degree of belief of automatic thoughts (ATQ), dysfunctional beliefs (DAS-24 achievement, DAS-23 dependency, and DAS-24 overall), overall compassion (SCS), SCS self-isolation, or SCS self-kindness.

Table 2. Psychosocial outcomes (N = 9)

r = .1, small effect; r = .3, medium effect; r = .5, large effect (Fritz et al. Reference Fritz, Morris and Richler2012).

Abbreviations: ATQ, Automatic Thought Questionnaire; CGI, Caregiver Grief Inventory; CRA, Caregiver Reaction Assessment; SCS, Self-Compassion Scale; DAS, Dysfunctional Attitudes Scale; DASS, Depression Anxiety and Stress Scale; PAC, Positive Aspects of Caregiving; PHQ-4, Patient Health Questionnaire; PROMIS, Patient-Reported Outcomes Measurement Information System.

Discussion

The study was structured around 2 endpoints, designed to examine the feasibility, acceptability, and potential impact of the intervention on caregiver distress and other psychosocial outcomes. First, the P1CaLL pilot intervention program demonstrated limited feasibility and did not meet a priori recruitment or retention goals, with 45.3% of approached participants enrolling in the study and 36% (9/25) of participants completing all sessions. The mean number of sessions delivered was 4.9 (SD = 4.2), and the study yielded a high assessment completion rate (84%, 21/25).

Second, the P1CaLL program demonstrated adequate acceptability. Most caregivers were satisfied with the P1CaLL sessions and felt the CBSM sessions improved their ability to engage in adaptive coping during the phase 1 oncology trial experience. They noted increased confidence in applying program skills during stressful situations, such as patient appointments or experiencing high levels of distress. Interviewees emphasized the helpfulness of session topics depended on the individual relevance of specific content to their caregiving experience.

Although the study was not powered to assess efficacy or make comparisons between groups, the findings show promise for the P1CaLL intervention to reduce stress, worry, and felt isolation and improve caregiver health and feelings of self-control. Qualitative reports indicated that the stress-management sessions were adaptive to their needs. These findings are pertinent to distressed caregivers of phase 1 oncology trial patients by disrupting the cycle of maladaptive stress reactions from the phase 1 oncology trial experience and enhancing their ability to manage caregiver activities.

Future work should allow caregivers to choose session topics most applicable to their caregiving experience rather than standardizing topic order. Additionally, future work should consider incorporating content on balancing employment, caregiving demands, managing guilt, and the addition of booster sessions. Future iterations should consider adding a face-to-face meeting between counselors and participants before intervention initiation, offering text messaging as a convenient session scheduling feature, reassessing intervention duration, and establishing continuity when transitioning participants off the study intervention and into community-based settings.

Our lower-than-expected recruitment and retention rates highlight several challenges in engaging this unique caregiver population. We recruited caregivers of phase 1 oncology trial patients across the phase 1 oncology trial experience, which may have contributed to the number of consented participants that screen failed (41.9%, 18/43) as this may not have captured overall caregiver distress incidence and severity reflected in past research during the time of enrollment on phase 1 oncology trials (Kessler et al. Reference Kessler, Moss and Eckhardt2014; Rezash et al. Reference Rezash, Reed and Gedeon2019). This was an unexpected finding, given that research examining cancer caregivers and research with phase 1 oncology trial caregivers has demonstrated that this population is highly distressed (Kessler et al. Reference Kessler, Moss and Eckhardt2014; Rezash et al. Reference Rezash, Reed and Gedeon2019).

Attrition during the intervention was high, with busy caregiver schedules, caregivers feeling too stressed, and patient morbidity and mortality as the primary reasons for the noncompletion of sessions. This finding is consistent with other in-person and technology-based intervention studies for cancer caregivers that found similar intervention attrition rates ranging from 14% to 77% and reasons for attrition (length of intervention, worsening health status or death of patients, and caregiver schedules) (Fu et al. Reference Fu, Zhao and Tong2017; Heynsbergh et al. Reference Heynsbergh, Heckel and Botti2018; Kilbourn et al. Reference Kilbourn, Costenaro and Madore2011). Prior literature has shown that technology-based intervention duration between 6 and 8 weeks and content focused on the need of carers had lower attrition rates of 14–15% (Heynsbergh et al. Reference Heynsbergh, Heckel and Botti2018). However, the studies with lower attrition rates did not focus on caregivers of advanced cancer patients. It may be true for caregivers of phase 1 oncology trial patients that it is challenging to engage in longer interventions given the time-intensive nature of phase 1 trial participation and worsening patient prognosis. More research is needed to assess the optimal length of technology-based interventions combined with caregivers’ capacity to engage with interventions while managing the demands of trial participation.

The technological component of the P1CaLL intervention was challenging for a few patients. For example, some metta-meditation participants (n = 2) described difficulties downloading the REDCap audio recordings onto their smartphones, tablets, and computers. Reasons for technological difficulties included audio interface playback issues across various software applications.

A major challenge in this work was how to consider caregivers who lost the person they cared for during the intervention. More than 1/3 of the caregiver participants lost their patient to death before the post-assessment timepoint (patient died during the intervention: n = 4; patient died before post-intervention assessment: n = 2). Since the study did not specify how long patients needed to be enrolled in a phase 1 oncology trial, there was a great deal of variability in morbidity and mortality in the study group. Future work should consider standardizing patients’ duration in phase 1 oncology trials with a preference to enroll caregivers at the beginning of the trial for a more in-depth evaluation of the caregiver experience with the transition to and implications of the phase 1 oncology trial (Kessler et al. Reference Kessler, Moss and Eckhardt2014).

Finally, the optional grief and loss session was only available to caregivers who lost their patients during the intervention phase of the study, and the caregivers who met these criteria (n = 4) declined the session. Grief and bereavement issues are a major part of the phase 1 caregiver experience since phase 1 clinical trials are often the last hope for patients who have exhausted standard treatment options. Future studies should consider how to incorporate support for caregivers who lose the people they provide care to (Caserta et al. Reference Caserta, Utz and Lund2019; Kilbourn et al. Reference Kilbourn, Costenaro and Madore2011).

Study limitations

The generalizability of these results is subject to certain limitations. Most participants identified as white, female, and spousal caregivers, which although that is representative of the phase I clinic site (Kessler et al. Reference Kessler, Moss and Eckhardt2014), the lack of heterogeneity in the sample offers less insight into how caregivers from other socioeconomic, racial, and ethnic groups cope with the demands of the trial experience. Future studies would benefit from recruitment efforts targeting male, non-spousal, and multiracial and ethnic caregivers. The study’s original intent aimed to compare the 2 arms on feasibility, acceptability, and preliminary efficacy potential. However, due to the small sample size, we were unable to make this comparison. This study yielded a small qualitative sample of caregivers that completed all program sessions, such that the qualitative analysis did not meet data saturation. Additionally, the qualitative interviews did not capture the experiences of caregivers who completed only a portion of the sessions, which would provide study staff with more insight into a broader range of caregiver perceptions of the intervention program. The small sample size, which allowed for testing our primary outcomes of feasibility and acceptability, did not allow tests of changes on secondary outcomes.

Conclusion

A telephone-based CBSM intervention adapted to fit the specific needs of caregivers of phase 1 oncology trial patients was acceptable to most caregivers and demonstrated limited feasibility. Implementing this pilot study in this unique caregiver population was challenging due to caregivers’ multiple demands associated with caring for patients. However, most caregivers found that once enrolled, the program met their caregiving needs. Taken together, these preliminary findings suggest a role for targeted stress-management interventions in promoting coping and stress-management skills to assist caregivers in managing the high demands associated with phase 1 oncology trial patient participation.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S1478951523000196.

Acknowledgments

We would like to thank the study participants, phase I oncology trial coordinators, and referring providers. Thanks to Matthew Golub, Emily Held, Moriah Flynn, Gabrielle Dewolf, Allison Dwinnell, and Da Bin Swiercz for their assistance with recruitment efforts. A.L.C.’s effort on the original draft preparation, writing review, and editing was supported by T32CA261787.

Authors’ contributions

Conception and design were performed by K.K., E.R.K., and J.J.A. Material preparation, data collection, and analyses were performed by A.L.C., E.A., and E.B. The first draft of the manuscript was written by A.L.C. The following authors contributed to the critical revision of the manuscript: A.L.C., E.B., E.A., E.R.K., J.J.A., and K.W.R. All authors approved of the final version to be published.

Conflicts of interest

The authors have no relevant financial or non-financial interests to disclose.

Ethical approval

The study was approved by the Colorado Multiple Institutional Review Board of the University of Colorado Denver (number 17-0514). The study was performed in line with the principles of the Declaration of Helsinki. Informed consent was obtained from all individual participants included in the study.

References

Antoni, M (2003) Stress Management Intervention for Women with Breast Cancer. Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Antoni, MH, Baggett, L, Ironson, G, et al. (1991) Cognitive-behavioral stress management intervention buffers distress responses and immunologic changes following notification of HIV-1 seropositivity. Journal of Consulting and Clinical Psychology 59(6), 906915. doi:10.1037/0022-006X.59.6.906CrossRefGoogle ScholarPubMed
Antoni, MH, Lechner, SC, Kazi, A, et al. (2006) How stress management improves quality of life after treatment for breast cancer. Journal of Consulting and Clinical Psychology 74(6), 11431152. doi:10.1037/0022-006X.74.6.1143CrossRefGoogle ScholarPubMed
Antoni, MH, Lehman, JM, Kilbourn, KM, et al. (2001) Cognitive-behavioral stress management intervention decreases the prevalence of depression and enhances benefit finding among women under treatment for early-stage breast cancer. Health Psychology 20(1), 2032. doi:10.1037/0278-6133.20.1.20CrossRefGoogle ScholarPubMed
Bevans, M and Sternberg, EM (2012) Caregiving burden, stress, and health effects among family caregivers of adult cancer patients. JAMA 307(4), 398403. doi:10.1001/jama.2012.29CrossRefGoogle ScholarPubMed
Braun, V and Clarke, V (2006) Using thematic analysis in psychology. Qualitative Research in Psychology 3(2), 77101. doi:10.1191/1478088706qp063oaCrossRefGoogle Scholar
Burgess, E and Haaga, DA (1994) The positive automatic thoughts questionnaire (ATQ-P) and the automatic thoughts questionnaire—Revised (ATQ-RP): Equivalent measures of positive thinking? Cognitive Therapy and Research 18(1), 1523. doi:10.1007/BF02359392CrossRefGoogle Scholar
Caserta, M, Utz, R, Lund, D, et al. (2019) Cancer caregivers’ preparedness for loss and bereavement outcomes: Do preloss caregiver attributes matter? Omega – Journal of Death and Dying 80(2), 224244. doi:10.1177/0030222817729610CrossRefGoogle ScholarPubMed
Cassel, JB, Del Fabbro, E, Arkenau, T, et al. (2016) Phase I cancer trials and palliative care: Antagonism, irrelevance, or synergy? Journal of Pain and Symptom Management 52(3), 437445. doi:10.1016/j.jpainsymman.2016.02.014CrossRefGoogle ScholarPubMed
Cohen, J (1988) Statistical Power Analysis for the Behavioral Sciences. Hillsdale, NJ: Lawrence Erlbaum Associates, 2026.Google Scholar
Eisdorfer, C, Czaja, SJ, Loewenstein, DA, et al. (2003) The effect of a family therapy and technology-based intervention on caregiver depression. The Gerontologist 43(4), 521531. doi:10.1093/geront/43.4.521CrossRefGoogle ScholarPubMed
Ferrell, BR, Chung, V, Koczywas, M, et al. (2017) Palliative care and Phase 1 trials: Intervention to improve quality of life and provide education. Clinical Journal of Oncology Nursing 21(4), 473479. doi:10.1188/17.CJON.473-479Google ScholarPubMed
Folkman, S and Lazarus, RS (1984) Stress, Appraisal, and Coping. New York: Springer Publishing Company.Google ScholarPubMed
Fritz, CO, Morris, PE and Richler, JJ (2012) Effect size estimates: Current use, calculations, and interpretation. Journal of Experimental Psychology: General 141(1), . doi:10.1037/a0024338Google ScholarPubMed
Fu, F, Zhao, H, Tong, F, et al. (2017) A systematic review of psychosocial interventions to cancer caregivers. Frontiers in Psychology 8, . doi:10.3389/fpsyg.2017.00834CrossRefGoogle ScholarPubMed
Garcia, SF, Cella, D, Clauser, SB, et al. (2007) Standardizing patient-reported outcomes assessment in cancer clinical trials: A patient-reported outcomes measurement information system initiative. Journal of Clinical Oncology 25(32), 51065112. doi:10.1200/JCO.2007.12.2341CrossRefGoogle ScholarPubMed
Gudenkauf, LM, Antoni, MH, Stagl, JM, et al. (2015) Brief cognitive–behavioral and relaxation training interventions for breast cancer: A randomized controlled trial. Journal of Consulting and Clinical Psychology 83(4), . doi:10.1037/ccp0000020CrossRefGoogle ScholarPubMed
Heynsbergh, N, Heckel, L, Botti, M, et al. (2018) Feasibility, useability and acceptability of technology-based interventions for informal cancer carers: A systematic review. BMC Cancer 18(1), . doi:10.1186/s12885-018-4160-9CrossRefGoogle ScholarPubMed
Hofmann, SG, Grossman, P and Hinton, DE (2011) Loving-kindness and compassion meditation: Potential for psychological interventions. Clinical Psychology Review 31(7), 11261132. doi:10.1016/j.cpr.2011.07.003CrossRefGoogle ScholarPubMed
Johns, SA, Beck-Coon, K, Stutz, PV, et al. (2020) Mindfulness training supports quality of life and advance care planning in adults with metastatic cancer and their caregivers: Results of a pilot study. American Journal of Hospice and Palliative Medicine 37(2), 8899. doi:10.1177/1049909119862254CrossRefGoogle ScholarPubMed
Kessler, ER, Moss, A, Eckhardt, GS, et al. (2014) Distress among caregivers of phase I trial participants: A cross-sectional study. Supportive Care in Cancer: Official Journal of the Multinational Association of Supportive Care in Cancer 22(12), 33313340. doi:10.1007/s00520-014-2380-3CrossRefGoogle ScholarPubMed
Kilbourn, KM, Costenaro, A, Madore, S, et al. (2011) Feasibility of a telephone-based counseling program for informal caregivers of hospice patients. Journal of Palliative Medicine 14(11), 12001205. doi:10.1089/jpm.2011.0186CrossRefGoogle ScholarPubMed
Kogan, N, Tolley, M and Cohen, R (2022) Family caregivers support their patient’s decision to participate in a phase 1 clinical trial: Weighing the pros and cons, bearing the costs. Psycho-oncology 31(8), 13741380. doi:10.1002/pon.5942CrossRefGoogle Scholar
Kroenke, K, Spitzer, RL, Williams, JB, et al. (2009) An ultra-brief screening scale for anxiety and depression: The PHQ-4. Psychosomatics 50(6), 613621. doi:10.1176/appi.psy.50.6.613Google ScholarPubMed
Kutner, J, Kilbourn, KM, Costenaro, A, et al. (2009) Support needs of informal hospice caregivers: A qualitative study. Journal of Palliative Medicine 12(12), 11011104. doi:10.1089/jpm.2009.0178CrossRefGoogle ScholarPubMed
Laudenslager, ML, Simoneau, TL, Kilbourn, K, et al. (2015) A randomized control trial of a psychosocial intervention for caregivers of allogeneic hematopoietic stem cell transplant patients: Effects on distress. Bone Marrow Transplantation 50(8), 11101118. doi:10.1038/bmt.2015.104CrossRefGoogle ScholarPubMed
Lovibond, PF and Lovibond, SH (1995) The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy 33(3), 335343. doi:10.1016/0005-7967(94)00075-UCrossRefGoogle ScholarPubMed
Luberto, CM, Hall, DL, Park, ER, et al. (2020) A perspective on the similarities and differences between mindfulness and relaxation. Global Advances in Health and Medicine 9, . doi:10.1177/2164956120905597CrossRefGoogle ScholarPubMed
Marwit, SJ and Meuser, TM (2005) Development of a short form inventory to assess grief in caregivers of dementia patients. Death Studies 29(3), 191205. doi:10.1080/07481180590916335CrossRefGoogle Scholar
Neff, KD (2003) The development and validation of a scale to measure self-compassion. Self and Identity 2(3), 223250. doi:10.1080/15298860309027CrossRefGoogle Scholar
Nijboer, C, Triemstra, M, Tempelaar, R, et al. (1999) Measuring both negative and positive reactions to giving care to cancer patients: Psychometric qualities of the Caregiver Reaction Assessment (CRA). Social Science & Medicine 48(9), 12591269. doi:10.1016/S0277-9536(98)00426-2CrossRefGoogle Scholar
Northouse, L, Schafenacker, A, Barr, KL, et al. (2014) A tailored Web-based psychoeducational intervention for cancer patients and their family caregivers. Cancer Nursing 37(5), 321330. doi:10.1097/NCC.0000000000000159CrossRefGoogle ScholarPubMed
Northouse, LL, Williams, A-L, Given, B, et al. (2012) Psychosocial care for family caregivers of patients with cancer. Journal of Clinical Oncology 30(11), 12271234. doi:10.1200/JCO.2011.39.5798CrossRefGoogle ScholarPubMed
Penedo, FJ, Fox, RS, Walsh, EA, et al. (2021) Effects of web-based cognitive behavioral stress management and health promotion interventions on neuroendocrine and inflammatory markers in men with advanced prostate cancer: A randomized controlled trial. Brain, Behavior, and Immunity 95, 168177. doi:10.1016/j.bbi.2021.03.014CrossRefGoogle ScholarPubMed
Penedo, FJ, Traeger, L, Dahn, J, et al. (2007) Cognitive behavioral stress management intervention improves quality of life in Spanish monolingual Hispanic men treated for localized prostate cancer: Results of a randomized controlled trial. International Journal of Behavioral Medicine 14(3), 164172. doi:10.1007/BF03000188CrossRefGoogle ScholarPubMed
Power, MJ, Katz, R, McGuffin, P, et al. (1994) The Dysfunctional Attitude Scale (DAS): A comparison of forms A and B and proposals for a new subscaled version. Journal of Research in Personality 28(3), 263276. doi:10.1006/jrpe.1994.1019CrossRefGoogle Scholar
Rezash, V, Reed, J, Gedeon, B, et al. (2019) Who needs what? Perceptions of patients and caregivers in oncology phase 1 trials. Journal of Patient Experience 7(1), 2733. doi:10.1177/2374373519830743CrossRefGoogle ScholarPubMed
Simoneau, TL, Kilbourn, K, Spradley, J, et al. (2017) An evidence-based stress management intervention for allogeneic hematopoietic stem cell transplant caregivers: Development, feasibility and acceptability. Supportive Care in Cancer 25(8), 25152523. doi:10.1007/s00520-017-3660-5CrossRefGoogle ScholarPubMed
Sun, V, Cooke, L, Chung, V, et al. (2014) Feasibility of a palliative care intervention for cancer patients in phase I clinical trials. Journal of Palliative Medicine 17(12), 13651368. doi:10.1089/jpm.2014.0108CrossRefGoogle ScholarPubMed
Tarlow, BJ, Wisniewski, SR, Belle, SH, et al. (2004) Positive aspects of caregiving: Contributions of the REACH project to the development of new measures for Alzheimer’s caregiving. Research on Aging 26(4), 429453. doi:10.1177/0164027504264493CrossRefGoogle Scholar
Telke, S, Leininger, B, Hanson, L, et al. (2022) A randomized trial of 21 days of loving kindness meditation for stress reduction and emotional well-being within an online health community for patients, family, and friends experiencing a cancer health journey. Journal of Integrative and Complementary Medicine 28(2), 158167. doi:10.1089/jicm.2020.0512CrossRefGoogle ScholarPubMed
Walsh, EA, Antoni, MH, Popok, PJ, et al. (2022) Effects of a randomized-controlled trial of cognitive behavioral stress management: Psychosocial adaptation and immune status in men with early-stage prostate cancer. General Hospital Psychiatry 79, 128134. doi:10.1016/j.genhosppsych.2022.10.012CrossRefGoogle ScholarPubMed
Wang, AW, Bouchard, LC, Gudenkauf, LM, et al. (2018) Differential psychological effects of cognitive-behavioral stress management among breast cancer patients with high and low initial cancer-specific distress. Journal of Psychosomatic Research 113, 5257. doi:10.1016/j.jpsychores.2018.07.011CrossRefGoogle ScholarPubMed
Weber, JS, Levit, LA, Adamson, PC, et al. (2015) American Society of Clinical Oncology policy statement update: The critical role of phase I trials in cancer research and treatment. Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology 33(3), 278284. doi:10.1200/JCO.2014.58.2635CrossRefGoogle Scholar
Wilz, G, Reder, M, Meichsner, F, et al. (2017) The Tele.TAnDem intervention: Telephone-based CBT for family caregivers of people with dementia. The Gerontologist 58(2), e118e129. doi:10.1093/geront/gnx183CrossRefGoogle Scholar
Wilz, G and Soellner, R (2016) Evaluation of a short-term telephone-based cognitive behavioral intervention for dementia family caregivers. Clinical Gerontologist 39(1), 2547. doi:10.1080/07317115.2015.1101631CrossRefGoogle Scholar
Figure 0

Fig. 1. Consort study diagram.

Figure 1

Table 1. Sociodemographic and caregiving characteristics (N = 23)

Figure 2

Fig. 2. Program acceptability outcomes.

Figure 3

Table 2. Psychosocial outcomes (N = 9)

Supplementary material: File

Carr et al. supplementary material 1
Download undefined(File)
File 42 KB
Supplementary material: File

Carr et al. supplementary material 2
Download undefined(File)
File 79.4 KB
Supplementary material: File

Carr et al. supplementary material 3
Download undefined(File)
File 48.1 KB