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PTSD Coach as an early mobile intervention to improve cancer-related anxiety and psychosocial oncology uptake in patients newly diagnosed with head and neck cancer: pilot randomized controlled trial

Abstract

Background

This pilot study aimed to provide supportive evidence for the feasibility of conducting a full-scale intervention trial with patients newly diagnosed with head and neck cancer (HNC). This included assessing the acceptability and potential usefulness of the PTSD Coach mobile app as an early self-management intervention that gives information about anxiety symptoms, offers self-assessment of symptoms with feedback, tools to self-manage anxiety, and connects to support.

Methods

A three-arm randomized controlled trial was conducted. The primary pilot study questions related to feasibility were: (1) can we recruit enough (i.e., n = 60 over 8 months or 8/month) and retain a sufficient proportion (i.e., ≥ 85% at three months post-randomization, having completed the primary outcome) of patients with HNC in all trial arms? (2) Will there be at least a 90% completion rate of PTSD Coach within 3 weeks from randomization? (3) Will at least 85% of the content for each module of PTSD Coach be completed? (4) Will there be at least a 90% completion rate of the attention-control tasks (i.e., 45 min/week over 3 weeks)? (5) What would be the anticipated sample size for a full study? (6) We also explored a signal for intervention effects on 1-, 3-, and 6-month levels of cancer-related anxiety, quality of life, anxiety and depression, self-stigma of seeking help, and professional psycho-oncology service uptake.

Results

Participants comprised 39 patients (11 experimental group (EG), 13 attention-control (AC), 15 usual care (UC)), primarily male (82%). Enrolment was lower than expected, with strategies implemented to increase the study’s participation rate (i.e., shortening the questionnaire, more relevant AC games, pacing study components, and enlarging eligibility to 4 weeks post-diagnosis instead of 2). Retention rates, intervention completion rates, and completion time were adequate. The intervention was acceptable with all patients (100%) who received PTSD Coach reporting it a positive experience and that they would recommend it to others. When compared to UC, there was a signal for the PTSD Coach group to report lower 3-month cancer-related anxiety (PCL-S; eta squared = 0.013), lower anxiety and depression (HADS; eta squared = 0.015), anxiety (HADS-A; eta squared = 0.028), and higher functional wellbeing (FACT-FW; eta squared = 0.09), based on effect sizes calculated across all three groups. The sample size for a full study was estimated to be 118 to 154 per group.

Conclusion

A repeat pilot study with an expanded oncology population is warranted to further investigate feasibility prior to a full Phase III study. PTSD Coach could be a valuable self-management tool as an initial stepped-care approach intervention in patients newly diagnosed with HNC.

Trial registration

ClinicalTrials.gov, NCT03651570. Registered June 26, 2018.

Peer Review reports

Key messages regarding feasibility

What uncertainties existed regarding the feasibility?

To our knowledge, there has been no previous phase II pilot feasibility randomized controlled trial (RCT) regarding the use of an early intervention with PTSD Coach to reduce anxiety and stigma of seeking help among patients with head and neck cancer (HNC).

What are the key feasibility findings?

Findings were mixed in terms of feasibility. The intervention was acceptable with all patients (100%) who received PTSD Coach reporting it a positive experience and that they would recommend it to others. Enrolment was lower than expected. Retention rates, intervention completion rates, and completion time were adequate.

What are the implications of the feasibility findings for the design of the main study?

A repeat phase II pilot RCT with an expanded oncology population (e.g. general oncology patients instead of HNC patients only or including more recruitment sites with the same population) is necessary to demonstrate the feasibility of our intervention prior to a full phase III trial.

Background

Patients with head and neck cancer (HNC) experience some of the highest levels of psychological distress, symptom burden, and morbidity compared to patients in general oncology [1, 2]. Targeting anxiety in patients with HNC may be important early after diagnosis, as it is highly prevalent (i.e., point prevalence of 32% and 22% upon cancer diagnosis and immediately post-treatment [2]) and is a key predictor of longer-term psychologically distressed trajectories and global quality of life (QoL) compromise [3]. This is a novel idea since the current literature tends to focus on the treatment of major depressive disorder (MDD) [3], which typically occurs in the post-treatment period [4]. Given the life-threatening nature of an HNC diagnosis, anxiety is often characterized by increased arousal, intrusive thoughts, emotional numbness, and avoidance, negative alterations in cognition and mood, and marked alteration in arousal and reactivity, symptoms consistent with posttraumatic stress disorder (PTSD) [5]. These symptoms appear in varying degrees in the initial period post-cancer diagnosis [4] and can compromise a variety of outcomes [1]. Despite their high psychological symptom burden, only 31% of patients with HNC seek professional psycho-oncological (PSO) support (i.e., care from a psychiatrist, psychologist, or social worker), with only 44% of those clinically highly anxious seeking this help. In general patients with cancer, PSO under-utilization has been associated with barriers such as stigma around mental health and PSO, inadequate knowledge about availability of services, desire for self-management, and distance for patients living in rural areas [6,7,8].

PTSD Coach is a free, mobile mental health application (app), developed by the United States Department of Veterans Affairs [7] and translated into French by the Canadian Veterans Affairs and the Department of National Defence and Canadian Mental Health Association [8]. The app can be downloaded on Apple or Android mobile devices. It contains four modules: (1) Learn, (2) Self-Assessment (3) Manage Symptoms, and (4) Find Support. The Learn module consists of psychoeducational information regarding the nature and course of PTSD symptoms, the role of a mental health professional, and how to get help. It has been developed with the goal of providing sound information and destigmatizing mental health care. The Self-Assessment module allows users to track PTSD symptoms (using the PCL; [9]) over time and gives personalized feedback about levels of their symptoms. The Manage Symptoms module provides evidence-based coping tools to help manage a variety of PTSD symptoms including intrusive, avoidant, anxious, depressive, and hyper-arousal (e.g., anger and sleep difficulties) symptoms.

Growing evidence supports the potential for adopting e-interventions in psycho-oncology and their promise to address barriers to PSO use through information provision, psychoeducation, self-management tools, and personalized feedback on distress levels, among veterans [9] and the general population [10,11,12,13]. Furthermore, a pilot study of PTSD Coach, which was adapted for cancer survivors (i.e., Cancer Distress Coach), in 31 patients with lymphoma, breast, or prostate cancer post-treatment [14] has shown acceptability, high satisfaction and usefulness ratings, and a preliminary positive signal for reducing cancer-related anxiety at 4- and 8-week follow-ups. Importantly, 72.4% of patients reported that the app served to destigmatize distress and made them more open towards PSO (69%). To this day, no Phase III randomized controlled trial (RCT) has examined if PTSD Coach could be efficacious in the oncology population.

Considering the emerging literature on the potential impacts of anxiety in patients with HNC as well as the promising results using PTSD Coach in general oncology patients [13], the present pilot study addressed the need to respond to the high levels of anxiety in patients newly diagnosed with HNC and in a proactive manner, while also addressing barriers to PSO uptake in this highly burdened population in a cost-effective, accessible way. We tested an anxiety self-management tool that also addresses stigma as the first step in an eventual stepped-care model with increasing treatment intensity [15], implemented as a routine part of cancer care as promoted in Canadian Partnership Against Cancer guidelines [16]. Given the stigma associated with mental health and possible under-reporting of psychological symptoms by men who are over-represented in the HNC population compared to women by three to one [16], we also measured cortisol and interleukin-6 (IL-6) as bio-immunological indicators for stress. Before completing a full-scale efficacy trial, a pilot trial was needed to determine the feasibility of trial methods and procedures and acceptability of PTSD Coach in this population.

The primary pilot study questions were related to feasibility: (1) can we recruit enough (i.e., n = 60 over 8 months or 8/month) and retain a sufficient proportion (i.e., ≥ 85% at 3 months post-randomization, having completed the primary outcome) of patients with HNC in all trial arms to allow completion of a full study in a timely fashion? (2) Will there be at least a 90% completion rate of PTSD Coach within 3 weeks from randomization (pre-treatment, chosen as we plan to use PTSD Coach as early as the time when patients are newly diagnosed with HNC)? (3) Will at least 85% of the content for each module of PTSD Coach be completed? (4) Will there be at least a 90% completion rate of the attention-control tasks (i.e., 45 min/week over 3 weeks)? (5) What would be the anticipated sample size for a full study? (6) We explored a signal for intervention effect on 1-, 3-, and 6-month levels of cancer-related anxiety, quality of life, anxiety and depression, self-stigma of seeking help, as well as professional psycho-oncology service uptake.

Methods

Design

We conducted a Phase II pilot study of a parallel three-arm RCT [17, 18] with patients newly diagnosed with HNC. The EG received usual care plus PTSD Coach, the AC received usual care plus a game app, and the usual care group (UC) received usual care alone. Recruitment, retention, and completion parameters were tracked throughout the study. Self-report questionnaires were completed at baseline and 1-, 3- (primary), and 6-months post-randomization. The design followed the 2008 CONSORT Guidelines for conducting trials assessing non-pharmacologic treatments [17, 18] as well as the extension for pilot RCTs [19].

Eligibility and exclusion criteria

Inclusion criteria

Patients were (1) newly diagnosed with HNC (all HNC sites; TNM Classification [20]); first occurrence, progression, or recurrence) within 2 weeks at referral; (2) willing to complete PTSD Coach or the Game app within 3 weeks as they awaited treatment onset; (3) 18 years or older; (4) alert and capable of giving free and informed consent; (5) able to speak and read English or French.

Exclusion criteria

Patients were excluded if they had a Karnofsky Performance Status (KPS) [21, 22] score of less than 60 (measures functional status and is a prognosis indicator; rated by referring oncologists/nurses or Research Coordinator (RC)) or expected survival less than 6 months according to medical judgment. Excluding patients with the poorest performance status at baseline was important to minimize the drop-out rate due to health deterioration [23,24,25,26].

Recruitment

Physicians and nurses working in the Otolaryngology–Head and Neck Surgery (OHNS) clinics at two McGill University-affiliated hospitals, Jewish General Hospital and McGill University Health Centre, were asked to identify and refer potential patients. Records of consecutive patients were kept tracking the reasons for patient ineligibility and refusals.

Data collection

Study patients were evaluated at 4 time points (baseline, 1-, 3-, and 6-month post-randomization). Baseline questionnaires were completed immediately after informed consent was given, with the research assistant (RA) present to answer questions. Patients completed the post-intervention questionnaires at home and mailed them to the RC in a pre-stamped, pre-addressed envelope. The RC reminded patients to complete questionnaires using a standardized script. Saliva and blood samples were collected at baseline and at 1 month follow-up, as described below. The 1-month follow-up questionnaire comprised a Pilot Study Questionnaire (PSQ) with open-ended questions to measure acceptability. We tracked treatments received at the hospitals during the follow-up via chart reviews and self-reports.

Randomization

All researchers and research staff were blind to the randomization sequence (ratio 1:1:1), carried out in random permuted blocks of 2, 4, and 6 using a web-based central randomization system (CRS) from an office unconnected with study conduct, as per CONSORT 2010 Statement [27, 28]. Group allocation took place immediately after consent was obtained. The RA informed patients of their group allocation once they had completed their baseline questionnaires. EG (or AC) patients then assisted in downloading PTSD Coach (or Game app), either on their smartphone or on a device that we lent them for use during the study (i.e., over 6 months).

Conditions

Experimental Intervention Group (EG)—PTSD Coach

During the initial meeting, patients were provided with informed consent and completed questionnaires. PTSD Coach was then downloaded onto the patient’s or study-provided mobile device. Patients were shown how to use the app and were asked to complete at least one module per week (2 modules in the first week) for a total of 4 modules. Patients used the app (as in the AC) while waiting for appointments (average wait of 45 min) and were able to use it freely when at home.

Attention control group (AC) intervention—game app

AC patients were assigned to three apps involving playing a game (i.e., Candy Crush, Tetris, or Tiny Wings), during the waiting time before and between medical treatments in the hospital, on the same weekly schedule as the experimental group. The apps contained no element of PTSD Coach and were selected based on popularity and capacity to interest. Patients were asked to use each app for 15 min in succession, during a 45-min weekly session over 3 weeks, as in the EG.

Usual care control group (UC)

Participating recruitment centers were already offering a best-of-care approach. They were large university-affiliated hospitals (McGill University Health Centre and Jewish General Hospital) with well-established PSO services (including psychiatrists, psychologists, social workers, nurses, and volunteers). However, the OHNS Departments did not offer systematic interventions on anxiety and self-management, nor did any intervention address stigma.

Other support

All patients were free to use hospital- or community-based supports, which were tracked throughout the study.

Feasibility and acceptability measures

Feasibility was assessed by participant enrolment rate and retention rate at 1-month, 3-month, and 6-month follow-up, completion rates of PTSD Coach within 3 weeks from randomization, of PTSD Coach content, and AC completion time as planned. Progression criteria (i.e., criteria that, if they are met, indicate that a larger phase III trial is feasible), included (1) recruiting enough (i.e., n = 60 over 8 months or 8/month) and retaining a sufficient proportion (i.e., ≥ 85% at 3 months post-randomization, having completed the primary outcome) of patients with HNC in all trial arms; (2) at least 90% completion rate of PTSD Coach within 3 weeks from randomization; (3) at least 85% of the content for each module of PTSD Coach are completed; (4) at least 90% completion rate of the attention-control tasks (i.e., 45 min/week over 3 weeks). Acceptability was assessed through a Pilot Study Questionnaire (PSQ) designed for this study and administered at the 1-month follow-up, with questions adapted from the Client Satisfaction Questionnaire–8 [29] and open-ended questions to assess PTSD Coach strengths and weaknesses. This questionnaire also collected information regarding whether participants felt they benefitted from the application and would recommend it to others.

Treatment adherence

Data on usage was captured through a patient journal to note the date and time used, ensuring inter-group dose equivalency between EG and AC conditions (at least 45 min per week over 3 weeks; scripted prompts if needed). Patients were contacted weekly to collect this information. RAs reminded patients to use the app when they presented to their appointments. PTSD Coach would be deemed feasible if at least 85% of the content for each module had been completed.

Addressing bias

First, while patients were not blinded to their assigned group, details about the intervention were kept minimal, omitting the word “PTSD Coach” from consent forms to avoid prompting patients to use the program if they are assigned to the AC or UC. Second, healthcare providers and investigators were blind to group allocation and questionnaire data during the pilot (only the RAs saw the data, for data checking and data entry). Patients receiving PTSD Coach were instructed not to discuss the intervention with other patients and staff, which was assessed through questions in follow-up questionnaires. Finally, we monitored the use of the apps through journaling (i.e., daily minutes used) in the EG and AC groups with benchmarks for adherence and equivalency.

Exploratory measures

Measures were selected based on psychometric properties, paper-pencil self-administration, and use with patients with HNC. All measures give continuous scores. Cancer-Related Anxiety. Anxiety symptoms were assessed with the PCL-S [30, 31], a 17-item self-report measure covering PTSD symptoms of intrusive negative thoughts, avoidance of negative thoughts, and hyperarousal [32] over the past week on a 5-point scale ranging from 1 = “not at all” to 5 = “extremely”. Total scores range from 17 to 85 and a 10–20-point change is considered clinically meaningful (Internal consistency: 0.87–0.94; Test-retest reliability: 0.92 (immediate), 0.87-0.88 (1 week)). The Functional Assessment of Cancer Therapy–General (FACT-G) [33] was used to assess QoL, as well as physical and functional well-being (total score; internal consistency: 0.89, test-retest reliability: 0.92). The Hospital Anxiety and Depression Scale (HADS) [34, 35] was used to measure psychological distress. It contains two 7-item subscales (anxiety and depression) and does not rely on physical symptoms such as fatigue and weight loss, which typify both depression and advanced cancer (Internal consistency: 0.78–0.93 [36]; Test-retest reliability: 0.80 [36]). The Self-Stigma of Seeking Help (SSOSH) is a 10-item scale used to assess self-stigma associated with seeking psychological help. Each item ranges from 1 = strongly disagree to 5 = strongly agree (internal consistency: 0.91, test-retest reliability: 0.72) [37]. Rates of PSO Program uptake (psychiatry, psychology, and social work) were collected via chart review.

Biological samples

Cortisol and IL-6 concentrations

Salivary cortisol. Saliva is considered a reliable and valid measure of unbound biological active blood cortisol [38]. Cortisol was measured 4 times per day for 2 days at baseline and at 1-month follow-up using salivate. This allows the calculation of the average slope over the 2-day sample period. Saliva time was standardized, and the samples were collected by patients themselves at home upon awakening and at 30 min post-awakening, 4 p.m., and 9 p.m., via children’s swab. They sent the samples via mail (provided envelope) or brought them directly to the research lab upon their next hospital visit. Participants used the Salimetrics kit recommendations for collection. Serum IL-6. Blood samples (4 ml) were collected using a serum separator tube at baseline and at 1 month follow-up [39].

Sociodemographic and medical information

To describe the sample, a questionnaire was used to collect information about sociodemographic data, physical level of functioning (ECOG performance status) [40], and group allocation preference. At each evaluation point, professional psychological support (individual, couple, or group psychotherapy, psychiatric medication) used outside the protocol was documented via questionnaire and chart review. Illness and treatment information was gathered through medical charts at each evaluation point (date of diagnosis, disease stage I–IV, surgery, radiotherapy, chemotherapy).

Use of anxiolytic/antidepressant medication and psychosocial support (individual/couple/group; frequency/duration) were tracked in all groups throughout the study via questionnaire and chart review. For the psychotropic and psychotherapy variables, we constructed a summative score per person tallying the endorsement of treatments received since baseline. For example, the psychotherapy 1-month count variable could range from 0 (did not receive any since baseline) to 1 (received treatment between baseline and 1 month); the psychotherapy 3-month count could range from 0 (did not receive any since baseline), 1 (received treatment either at 1 month or at 3 months), or 2 (received treatment at both 1 and 3 months); and the psychotherapy 6-month count could range from 0 (did not receive any since baseline), 1 (received treatment at one endpoint), 2 (received treatment at two endpoints), or 3 (received treatment at all 3 endpoints).

Sample size rationale

We planned to recruit 60 participants (20 per arm) in our Phase II pilot, offering acceptable precision in attrition rate estimates in pilot studies and allowing a manageable number of participants to recruit. It would also allow for confirmation of the estimate of the standard deviation [41]. To estimate the sample size for a full study, we first calculated the 80% upper confidence limit (CL) for the baseline s.d. on the PCL-S, our primary outcome. This upper limit s.d. is considered a necessary conservative parameter for use in power calculations, as s.d. is known to be notoriously unreliable in small samples) [41]. Informed by this value, we then calculated the anticipated sample size using G*Power 3.1 [42] and an effect size (Cohen’s d) of 0.40, comparable to other e-health interventions [43,44,45], with 80% power, alpha 0.05 (two-tailed test), and a 15% to 35% attrition rate.

Statistical analysis

Analyses were conducted using SPSS version 29 [46]. Feasibility and acceptability indicators were analyzed using frequencies and percentages. For scale scores, the main analysis involved ANCOVA to gauge potential experimental group differences on each endpoint outcome, controlling for baseline. We also report eta squared as a measure of effect size when more than two groups are involved (small eta squared is 0.01, medium 0.06, and large 0.14). Eta squared refers to the proportion of variation in the outcome explained by the independent variable trial group.

Results

Feasibility

We recruited 39 participants over a 16-month period: 11 were randomly assigned to the experimental group (EG), 13 to the attention-control (AC), and 15 to the usual care (UC). An average of 2.4 participants were recruited per month with an overall enrolment rate of 40% (see Fig. 1). Participants were mostly men (82%). Nearly 80% (n = 31/39) owned a smartphone. Other sociodemographic characteristics can be found in Table 1.

Table 1 Sociodemographic, medical, and clinical characteristics of patients newly diagnosed with head and neck cancer participating in the PTSD Coach trial

One-third into recruitment, we made minimal changes to our study including shortening the questionnaire, including more relevant games in the AC group (i.e., adding Solitary and Sudoku), pacing the introduction of study components (questionnaire and biological samples) to avoid overwhelming participants, and enlarging eligibility to 4 weeks post-diagnosis instead of 2. Accordingly, in the last 3 months, we were able to significantly increase our recruitment rate to 65%. The most effective recruitment strategy was the direct presence of RAs in the clinics (100% recruited this way; 0% via posters and direct physician/nurse referrals).

The 1-month timepoint had a good retention rate (85%; EG 73%, AC 77%, UC 100%) followed by 72% at 3 months and 62% at 6 months post-randomization. Half of the drop-outs by 1 month were due to health deterioration. The proportion of randomized patients using PTSD Coach was 73% with drop-outs having occurred early prior to intervention onset; 100% of those who started PTSD Coach proceeded to complete it within 3 weeks from randomization (see Fig. 1). More than 85% of the content for each module of PTSD Coach was completed. Time to complete PTSD Coach was on average 20 min per week over 3 weeks instead of the originally planned 45 min per week. Time for the AC game app was corrected to be on average 20 min per week over 3 weeks; 77% of randomized AC patients started the attention-control tasks and 100% of those who began, completed their assignments. No patient reported speaking to other patients or staff (for the EG) or hearing from other patients or staff about the intervention (for the AC and UC).

Fig. 1
figure 1

Flow diagram

For the exploratory biological measurements, salivary cortisol collection was completed by 77% at baseline with 70% completion at 1-month post-randomization, compared to blood sampling acceptance (69% baseline; 44% 1-month).

Acceptability

Based on our Pilot Study Questionnaire (PSQ) all patients (100%) who received PTSD Coach reported it a positive experience and would recommend it to others in a similar situation. They reported the sessions as helpful in open-ended questions, analyzed through thematic analysis: patients became more aware and better understood their anxiety, they learned about the impact of stress on their treatment experience, they learned new tools to manage stress, and became aware and were appreciative of the availability of professional help. PTSD Coach modules 2 and 3 were preferred since they evaluated and gave informative feedback about distress levels and tools to help reduce it.

Signal for impact

See Table 1 for descriptive statistics for all outcomes and Table 2 for estimated mean differences, controlling for baseline, comparing EG vs. AC and EG vs. UC groups.

Table 2 Mean differences adjusted for baseline for quality of life and affective outcomes

For the PCL-S at the primary endpoint of 3 months, the estimated difference between EG vs. AC groups was −3.69, CI (−17.66, 10.29) and between EG vs. UC was −2.13, CI (−13.70, 9.43), adjusted for baseline. These contrasts showed a small positive signal for PTSD Coach, with an eta squared of 0.013. At 6 months on the PCL-S, the signal appeared to strengthen, with a medium to large eta squared of 0.105. See Fig. 2 for a plot of the mean differences on PCL-S between EG vs. UC groups at each time point adjusted for baseline, as well as a plot of the mean differences between EG vs. AC groups.

Fig. 2
figure 2

Plot of mean differences on PCL-S between EG vs. UC and EG vs. AC groups with 95% confidence intervals, adjusted for baseline

Mean differences in the secondary outcomes of quality of life and HADS showed a positive signal for the PTSD Coach group. Focusing on the 3-month outcomes, the EG showed potential contrasts in the expected direction against both AC and UC groups on FACT Functional Wellbeing subscale, with a medium to large eta squared of 0.09, HADS Total, with a small eta squared of 0.015, and HADS Anxiety, with a small to medium eta squared of 0.028 (see Table 2).

There was a signal for the EG group to receive fewer treatments than the AC group, for psychotropic medications at 1 month, psychotherapy at 3 months, and psychotherapy at 6 months; with large eta squared values ranging from 0.07 to 0.26. More people seemed to have received psychotherapy from 1-6 months in the UC (45.5%) compared to the EG (16.7%), as well as potentially more people taking psychotropic medication in the UC (28.6%) compared to the EG (14.3%) at 3 months (see Table 1, cf. Table 3).

Table 3 Mean differences adjusted for baseline for psychotropic and psychotherapy count outcomes

The 80% upper confidence limit for the baseline s.d. on the PCL-S was used to inform the sample size calculation for the full study [41]. The baseline s.d. was 14 and the 80% upper CL = √[(n − 1)*s220.10,df] = √[(39-1) × 142/27.34] = √38 × 196/27.34 = √272.42 = 16.51. A 6.5-point difference between the two independent groups would be close to an effect size of 0.40 (i.e., 6.5/16.51). Using G*Power, [42] the ability to detect an effect size of 0.40 with 80% power would require a sample size of 100 per group. Factoring in 15% to 35% attrition, we would need to recruit a baseline sample size of 118 to 154 per group.

Discussion

To our knowledge, this is the first study to examine the feasibility and acceptability of an early intervention with PTSD Coach in patients newly diagnosed with head and neck cancer. The intervention was deemed acceptable to patients. Fewer patients were eligible and recruitment was slower than expected, i.e., a recruitment rate of 2.4 participants per month compared to the anticipated 8 per month set as the stop/go cut-off for progression, representing an observed recruitment of 30% of the required level for progression. Our overall participation rate was 40%, with an increase in participation to 65% once we implemented changes such a shortening the questionnaire, including more relevant games in the AC group, pacing study components introduction (questionnaire and biological samples), and enlarging eligibility to 4 weeks post-diagnosis instead of 2. The 1-month timepoint had a good retention rate (85%; EG 73%, AC 77%, UC 100%) followed by 72% at 3 months and 62% at 6-month post-randomization; below the anticipated 85%. Seventy-three percent of participants allocated to PTSD Coach started the intervention; once started 100% completed it within 3 weeks from randomization, in higher proportion than the 90% criterion, with more than 85% of the content completed for each module. Seventy-seven percent of AC participants started the attention-control tasks and 100% of the individuals who started, completed their assignments (i.e., time corrected to 20 min/week to correspond to EG exposure). Considering the slower pace of recruitment than originally planned, we would need to enlarge our study population to include either additional HNC clinics or additional cancer sites with other cancer types of newly diagnosed patients to demonstrate feasibility. Feasibility could also be improved with design alterations that may include running a two-arm trial for greater power, changes in eligibility criteria, adding remuneration of participants, or the choice of comparison conditions, such as integrating PTSD Coach to therapy versus therapy alone [47].

We found what appeared to be a medium to large effect size of an early intervention with PTSD Coach on cancer-related anxiety at 6 months, and a moderate effect size on general anxiety at 3 months. This is in line with previous studies in the general population [13] and general oncology patients [14], which all found associations between PTSD Coach and reduced PTSD symptoms. The AC seemed to present with higher psychosocial oncology consultations. This contrast would merit further exploration and may be an artifact of the study design, with AC participants being potentially sensitized to psychosocial resources and services through participation in this study and more motivated to consult.

There are important clinical implications of addressing anxiety and barriers to psychosocial oncology service access early on in the cancer trajectory of patients with HNC. First, this population is known to experience particularly high levels of distress, as well as has been identified as being at risk for suicide. An early identification of distress within this context can help buffer the stress of treatments. The built-in retroaction on levels of distress provided to patients through PTSD Coach, together with de-stigmatization of mental health and the provision of self-management tools, can increase awareness, motivation, and capability towards optimizing one’s coping. The locus of control can then shift from being focused on cancer and treatment effects on the body to one’s reactions to this stress, thus helping people achieve an increased sense of mastery and control in the face of adversity. Second, research has shown that early levels of anxiety predict physical symptom burden and function in the immediate post-treatment. One may want to further study the mechanisms of this association through well-designed intervention studies combining functional neuroimaging, psychiatric genetics, and immunological processes, which could lead to the tailoring of supportive approaches in line with personalized medicine.

A recent meta-analysis of 16 primary studies supported that PTSD Coach is a feasible and acceptable intervention in populations who have experienced trauma (such as a recent diagnosis and treatment of HNC) [47]. More specifically in the HNC population, early intervention with PTSD Coach should be viewed in the context of a stepped-care approach. By doing so, we aim to harness technology as a means for the provision of psychoeducation and first-level resources on which to build to optimize PSO care. Much is to be learned about the barriers to PSO support within the context of a stepped-care approach in oncology, and the components that are necessary to include as part of the first level of intervention. Notably, one may want to consider additionally targeting depression and tobacco/alcohol/substance abuse/dependency, considering their high prevalence [3] and how they are involved in negatively influencing outcomes [47].

Our study presents some limitations. First, our pilot study was limited by the initially low participation rate, which may have introduced a selection bias. Even if participation rates are higher in our study than those of previous trials in patients with HNC and were increased by the introduction of strategies during the trial, a future enlarged study would need to track characteristics of patients refusing participation to monitor any potential bias. Second, at 6 months, more than one-third of participants had dropped out of the study (the most common reason being health deterioration). It may be important to add certain study modifications to limit this attrition over time, such as introducing new eligibility criteria or limiting questionnaire completion to the primary outcome only for patients experiencing health deterioration. Third, there were low baseline levels of cancer-related anxiety in the sample, which may impact the ability to observe significant improvements. One would need to ensure that people with high levels of distress are represented in our sample and that responses to the questionnaire are not impacted by social desirability or gender norms. While our intention was to provide PTSD Coach as a first-level intervention as part of a stepped-care approach, one may want to consider including only patients with clinically elevated stress for the purpose of a trial.

In conclusion, our pilot study has demonstrated acceptability but design changes are needed to improve study feasibility. While early intervention with PTSD Coach seemed to present a signal for reduced anxiety, depressive symptoms appeared to be higher, possibly in the context of the intervention targeting anxiety alone or of decreased psychotropic medications and psychotherapy. A repeat pilot study is warranted with either additional HNC clinics, an enlarged patient population to general oncology, or a different design to demonstrate feasibility for an eventual phase III RCT. Multi-site efforts are key if we are to have what would appear to be a potential preventive impact on levels of distress and positive impact on quality of life in this known to be vulnerable oncologic population. 

Data availability

All de-identified data (SPSS format) generated or analyzed during this study is available from the corresponding author upon request.

Abbreviations

AC:

Attention-control

ANCOVA:

Analysis of covariance

CL:

Confidence limit

CIHR:

Canadian Institutes of Health Research

CRS:

Central randomization system

ECOG:

Eastern Cooperative Oncology Group

EG:

Experimental group

FACT:

Functional Assessment of Cancer Therapy–General

FRQS:

Fonds de recherche Québec-Santé

HADS:

Hospital Anxiety and Depression Scale

HNC:

Head and neck cancer

KPS:

Karnofsky Performance Status

MDD:

Major depressive disorder

OHNS:

Otolaryngology–Head and Neck Surgery

PCL-S:

Post-traumatic Stress Disorder Checklist–Specific

PSO:

Psycho-oncological support

PSQ:

Pilot Study Questionnaire

PTSD:

Post-traumatic stress disorder

QoL:

Quality of life

RC:

Research coordinator

RCT:

Randomized controlled trial

SD:

Standard deviation

SSOSH:

Self-Stigma of Seeking Help

UC:

Usual care

References

  1. Smith JD, Shuman AG, Riba MB. Psychosocial issues in patients with head and neck cancer: an updated review with a focus on clinical interventions. Curr Psychiatry Rep. 2017;19(9):56. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s11920-017-0811-9.

  2. Zabora J, BrintzenhofeSzoc K, Curbow B, Hooker C, Piantadosi S. The prevalence of psychological distress by cancer site. Psychooncology. 2001;10(1):19–28. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/1099-1611(200101/02)10:1<19::aid-pon501>3.0.co;2-6.

    Article  CAS  PubMed  Google Scholar 

  3. Lydiatt WM, Bessette D, Schmid KK, Sayles H, Burke WJ. Prevention of depression with escitalopram in patients undergoing treatment for head and neck cancer: randomized, double-blind, placebo-controlled clinical trial. JAMA Otolaryngol Head Neck Surg. 2013;139(7):678–86. https://doiorg.publicaciones.saludcastillayleon.es/10.1001/jamaoto.2013.3371.

    Article  PubMed  Google Scholar 

  4. Henry M, Rosberger Z, Ianovski LE, et al. A screening algorithm for early detection of major depressive disorder in head and neck cancer patients post-treatment: longitudinal study. Psychooncology. 2018;27(6):1622–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/pon.4705.

    Article  PubMed  Google Scholar 

  5. Chen AM, Jennelle RL, Grady V, et al. Prospective study of psychosocial distress among patients undergoing radiotherapy for head and neck cancer. Int J Radiat Oncol Biol Phys. 2009;73(1):187–93. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ijrobp.2008.04.010.

    Article  PubMed  Google Scholar 

  6. Clover KA, Mitchell AJ, Britton B, Carter G. Why do oncology outpatients who report emotional distress decline help? Psychooncology. 2015;24(7):812–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/pon.3729.

    Article  PubMed  Google Scholar 

  7. Gunn K, Turnbull D, McWha JL, Davies M, Olver I. Psychosocial service use: a qualitative exploration from the perspective of rural Australian cancer patients. Support Care Cancer. 2013;21(9):2547–55. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s00520-013-1812-9.

    Article  PubMed  Google Scholar 

  8. Neumann M, Galushko M, Karbach U, et al. Barriers to using psycho-oncology services: a qualitative research into the perspectives of users, their relatives, non-users, physicians, and nurses. Support Care Cancer. 2010;18(9):1147–56. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s00520-009-0731-2.

    Article  PubMed  Google Scholar 

  9. Howell D, Keller-Olaman S, Oliver TK, et al. A pan-Canadian practice guideline and algorithm: screening, assessment, and supportive care of adults with cancer-related fatigue. Curr Oncol. 2013;20(3):e233–46. https://doiorg.publicaciones.saludcastillayleon.es/10.3747/co.20.1302.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Owen JE, Jaworski BK, Kuhn E, Makin-Byrd KN, Ramsey KM, Hoffman JE. mHealth in the wild: using novel data to examine the reach, use, and Impact of PTSD coach. JMIR Ment Health. 2015;2(1):e7. https://doiorg.publicaciones.saludcastillayleon.es/10.2196/mental.3935.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Miner A, Kuhn E, Hoffman JE, Owen JE, Ruzek JI, Taylor CB. Feasibility, acceptability, and potential efficacy of the PTSD Coach app: a pilot randomized controlled trial with community trauma survivors. Psychol Trauma. 2016;8(3):384–92. https://doiorg.publicaciones.saludcastillayleon.es/10.1037/tra0000092.

    Article  PubMed  Google Scholar 

  12. Kuhn E, Greene C, Hoffman J, et al. Preliminary evaluation of PTSD Coach, a smartphone app for post-traumatic stress symptoms. Mil Med. 2014;179(1):12–8. https://doiorg.publicaciones.saludcastillayleon.es/10.7205/MILMED-D-13-00271.

    Article  PubMed  Google Scholar 

  13. Kuhn E, Kanuri N, Hoffman JE, Garvert DW, Ruzek JI, Taylor CB. A randomized controlled trial of a smartphone app for posttraumatic stress disorder symptoms. J Consult Clin Psychol. 2017;85(3):267–73. https://doiorg.publicaciones.saludcastillayleon.es/10.1037/ccp0000163.

    Article  PubMed  Google Scholar 

  14. Smith SK, Kuhn E, O’Donnell J, et al. Cancer distress coach: Pilot study of a mobile app for managing posttraumatic stress. Psychooncology. 2018;27(1):350–3. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/pon.4363.

    Article  PubMed  Google Scholar 

  15. Bower P, Gilbody S. Stepped care in psychological therapies: access, effectiveness and efficiency. Narrative literature review. Br J Psychiatry. 2005;186:11–7. https://doiorg.publicaciones.saludcastillayleon.es/10.1192/bjp.186.1.11.

    Article  PubMed  Google Scholar 

  16. Benchetrit L, Torabi SJ, Tate JP, et al. Gender disparities in head and neck cancer chemotherapy clinical trials participation and treatment. Oral Oncol. 2019;94:32–40. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.oraloncology.2019.05.009. (In eng).

    Article  PubMed  Google Scholar 

  17. Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P, Group C. Extending the CONSORT statement to randomized trials of nonpharmacologic treatment: explanation and elaboration. Ann Intern Med. 2008;148(4):295–309. https://doiorg.publicaciones.saludcastillayleon.es/10.7326/0003-4819-148-4-200802190-00008.

    Article  PubMed  Google Scholar 

  18. Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P, Group C. Methods and processes of the CONSORT Group: example of an extension for trials assessing nonpharmacologic treatments. Ann Intern Med. 2008;148(4):W60-6. https://doiorg.publicaciones.saludcastillayleon.es/10.7326/0003-4819-148-4-200802190-00008-w1.

    Article  PubMed  Google Scholar 

  19. Eldridge SM, Chan CL, Campbell MJ, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. Pilot Feasibility Stud. 2016;2:64. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40814-016-0105-8.

    Article  PubMed  PubMed Central  Google Scholar 

  20. O’Sullivan B, Brierley J, Byrd D, et al. The TNM classification of malignant tumours-towards common understanding and reasonable expectations. Lancet Oncol. 2017;18(7):849–51. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/S1470-2045(17)30438-2.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Péus D, Newcomb N, Hofer S. Appraisal of the Karnofsky Performance Status and proposal of a simple algorithmic system for its evaluation. BMC Med Inform Decis Mak. 2013;13:72. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1472-6947-13-72. (In eng).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Karnofsky D, Burchenal J. The clinical evaluation of chemotherapeutic agents in cancer. evaluation of chemotherapeutic agents in cancer. New York: Columbia University Press; 1949. p. 196.

    Google Scholar 

  23. Schag CC, Heinrich RL, Ganz PA. Karnofsky performance status revisited: reliability, validity, and guidelines. J Clin Oncol. 1984;2(3):187–93. https://doiorg.publicaciones.saludcastillayleon.es/10.1200/jco.1984.2.3.187. (In eng).

    Article  CAS  PubMed  Google Scholar 

  24. Gripp S, Moeller S, Bölke E, et al. Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression. J Clin Oncol. 2007;25(22):3313–20. https://doiorg.publicaciones.saludcastillayleon.es/10.1200/jco.2006.10.5411. (In eng).

    Article  PubMed  Google Scholar 

  25. Doyle D. Oxford textbook of palliative medicine. 3rd, reprinted ed. Oxford: Oxford University Press; 2005.

    Google Scholar 

  26. Glare P, Christakis N. Prognosis in advanced cancer. New York: Oxford University Press; 2008.

    Book  Google Scholar 

  27. Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. Int J Surg. 2012;10(1):28–55. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.ijsu.2011.10.001. (In eng).

    Article  PubMed  Google Scholar 

  28. Schulz KF, Altman DG, Moher D. CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials. BMC Med. 2010;8:18. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1741-7015-8-18. (In eng).

    Article  PubMed  PubMed Central  Google Scholar 

  29. Attkisson CC, Greenfield TK. The UCSF Client Satisfaction Scales: I. The Client Satisfaction Questionnaire-8. In: Maruish ME, editor. The use of psychological testing for treatment planning and outcomes assessment: Instruments for adults. 3rd ed. Lawrence Erlbaum Associates Publishers; 2004. p. 799–811.

  30. Blanchard EB, Jones-Alexander J, Buckley TC, Forneris CA. Psychometric properties of the PTSD Checklist (PCL). Behav Res Ther. 1996;34(8):669–73. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/0005-7967(96)00033-2. (In eng).

    Article  CAS  PubMed  Google Scholar 

  31. Weathers F, Litz B, Huska J, Keane T. The PTSD Checklist (PCL): Reliability, validity, and diagnostic utility. Annual convention of the international society for traumatic stress studies. 1993.

  32. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–70. https://doiorg.publicaciones.saludcastillayleon.es/10.1111/j.1600-0447.1983.tb09716.x. (In eng).

    Article  CAS  PubMed  Google Scholar 

  33. Brucker PS, Yost K, Cashy J, Webster K, Cella D. General population and cancer patient norms for the Functional Assessment of Cancer Therapy-General (FACT-G). Eval Health Prof. 2005;28(2):192–211. https://doiorg.publicaciones.saludcastillayleon.es/10.1177/0163278705275341. (In eng).

    Article  PubMed  Google Scholar 

  34. Brennan C, Worrall-Davies A, McMillan D, Gilbody S, House A. The Hospital Anxiety and Depression Scale: a diagnostic meta-analysis of case-finding ability. J Psychosom Res. 2010;69(4):371–8. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/j.jpsychores.2010.04.006. (In eng).

    Article  PubMed  Google Scholar 

  35. Moorey S, Greer S, Watson M, et al. The factor structure and factor stability of the hospital anxiety and depression scale in patients with cancer. Br J Psychiatry. 1991;158:255–9. https://doiorg.publicaciones.saludcastillayleon.es/10.1192/bjp.158.2.255. (In eng).

    Article  CAS  PubMed  Google Scholar 

  36. Snaith RP. The hospital anxiety and depression scale. Health Qual Life Outcomes. 2003;1:29. https://doiorg.publicaciones.saludcastillayleon.es/10.1186/1477-7525-1-29. (In eng).

    Article  PubMed  PubMed Central  Google Scholar 

  37. Vogel D, Wade N, Haake S. Measuring the self-stigma associated with seeking psychological help. J Couns Psychol. 2006;53(3):325–37.

    Article  Google Scholar 

  38. Kirschbaum C, Hellhammer DH. Salivary cortisol in psychoneuroendocrine research: recent developments and applications. Psychoneuroendocrinology. 1994;19(4):313–33. https://doiorg.publicaciones.saludcastillayleon.es/10.1016/0306-4530(94)90013-2. (In eng).

    Article  CAS  PubMed  Google Scholar 

  39. Kronfol Z, Nair M, Zhang Q, Hill EE, Brown MB. Circadian immune measures in healthy volunteers: relationship to hypothalamic-pituitary-adrenal axis hormones and sympathetic neurotransmitters. Psychosom Med. 1997;59(1):42–50. https://doiorg.publicaciones.saludcastillayleon.es/10.1097/00006842-199701000-00006. (In eng).

    Article  CAS  PubMed  Google Scholar 

  40. Conill C, Verger E, Salamero M. Performance status assessment in cancer patients. Cancer. 1990;65(8):1864–6. (In eng). https://doiorg.publicaciones.saludcastillayleon.es/10.1002/1097-0142(19900415)65:8%3c1864::aid-cncr2820650832%3e3.0.co;2-u

    Article  CAS  PubMed  Google Scholar 

  41. Browne RH. On the use of a pilot sample for sample size determination. Stat Med. 1995;14(17):1933–40. https://doiorg.publicaciones.saludcastillayleon.es/10.1002/sim.4780141709. (In eng).

    Article  CAS  PubMed  Google Scholar 

  42. Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–91.

    Article  PubMed  Google Scholar 

  43. Barak A, Hen L, Boniel-Nissim M, Shapira N. A comprehensive review and a meta-analysis of the effectiveness of internet-based psychotherapeutic interventions. J Technol Hum Serv. 2008;26(2–4):109–60.

    Article  Google Scholar 

  44. Cushing C, Steele R. A meta-analytic review of eHealth interventions for pediatric health promoting and maintaining behaviors. J Pediatr Psychol. 2010;35(9):937–49. https://doiorg.publicaciones.saludcastillayleon.es/10.1093/jpepsy/jsq023.

    Article  PubMed  Google Scholar 

  45. Stavric V, Kayes NM, Rashid U, Saywell NL. The effectiveness of self-guided digital interventions to improve physical activity and exercise outcomes for people with chronic conditions: a systematic review and meta-analysis. Front Rehabil Sci. 2022;3:925620. https://doiorg.publicaciones.saludcastillayleon.es/10.3389/fresc.2022.925620.

    Article  PubMed  PubMed Central  Google Scholar 

  46. IBM Corp. IBM SPSS Statistics for Windows, Version 29. Armonk: IBM Corp; 2023.

  47. Bröcker E, Suliman S, Olff M, Seedat S. Feasibility, acceptability, and effectiveness of web-based and mobile PTSD Coach: a systematic review and meta-analysis. Eur J Psychotraumatol. 2023;14(2):2209469. https://doiorg.publicaciones.saludcastillayleon.es/10.1080/20008066.2023.2209469. (In eng).

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Not applicable.

Funding

This study has been possible through funding from the Canadian Institutes of Health Research (CIHR) #388413. The Principal Investigator has been awarded three consecutive clinician-scientist salary awards from the Fonds de recherche Québec-Santé (FRQS; Quebec Health Research Fund), the latest at the senior level.

Author information

Authors and Affiliations

Authors

Contributions

All authors (LD, CL, MH (Michael Hier), AZ, KK, AM, MA, EK, JO, DH, RP, FF, NS, ZR, SF, KS, GS, FC, and MH (Melissa Henry)) provided scientific input, helped recruit patients, helped interpret the data and write up the manuscript. All authors provided substantial revisions to the work and approved the final manuscript. More specifically, LD led the drafting of the paper; CL analyzed and interpreted the data regarding various test scores among the participants in the study; MA helped interpret the data and provided scientific input on immunological aspects; EK provided us with the PTSD Coach code and permissions; DH and RP provided scientific input on methodological aspects of the RCT, operational challenges, and subsequent interpretation of analyses; NS provided scientific input, helped recruit patients, helped interpret the data and write up results; ZR and SF provided ongoing guidance, scientific input and supervision throughout the study and the writing of the manuscript; MH (Melissa Henry) oversaw the day-to-day running of the project, planned recruitment, supervised data collection and entry, analyzed data, and wrote up results.

Corresponding author

Correspondence to Laurence Ducharme.

Ethics declarations

Ethics approval and consent to participate

The study received full ethics approval from McGill University Faculty of Medicine’s Institutional Review Board #MM-CODIM-M-17-085. Informed consent to participate in the study has been obtained from all participants.

Consent for publication

The present study does not include details, images, or videos related to an individual person.

Competing interests

The authors declare that they have no competing interests.

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Ducharme, L., Lo, C., Hier, M. et al. PTSD Coach as an early mobile intervention to improve cancer-related anxiety and psychosocial oncology uptake in patients newly diagnosed with head and neck cancer: pilot randomized controlled trial. Pilot Feasibility Stud 10, 153 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40814-024-01556-7

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