Article Text

Protocol
Effectiveness of a facilitation programme using a mobile application for initiating advance care planning discussions between patients with advanced cancer and healthcare providers: protocol for a randomised controlled trial (J-SUPPORT 2104)
  1. Kyoko Obama1,
  2. Maiko Fujimori1,
  3. Masako Okamura1,
  4. Midori Kadowaki1,
  5. Taro Ueno2,
  6. Narikazu Boku3,
  7. Masanori Mori4,
  8. Tatsuo Akechi5,
  9. Takuhiro Yamaguchi6,
  10. Shunsuke Oyamada7,
  11. Ayumi Okizaki1,
  12. Tempei Miyaji1,
  13. Naomi Sakurai8,
  14. Yosuke Uchitomi1,9
  1. 1Institute for Cancer Control, National Cancer Center Japan, Tokyo, Japan
  2. 2SUSMED, Inc, Tokyo, Japan
  3. 3Department of Oncology and General Medicine, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
  4. 4Division of Palliative and Supportive Care, Seirei Mikatahara Hospital, Hamamatsu, Japan
  5. 5Department of Psychiatry and Cognitive-Behavioral Medicine, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
  6. 6Division of Biostatistics, Tohoku University Graduate School of Medicine, Sendai, Japan
  7. 7Department of Biostatistics, JORTC Data Center, Tokyo, Japan
  8. 8Cancer Survivors Recruiting Project, General Incorporated Association, Tokyo, Japan
  9. 9Innovation Center for Supportive, Palliative and Psychosocial Care, National Cancer Center Hospital, Chuo-ku, Japan
  1. Correspondence to Dr Maiko Fujimori; mfujimor{at}ncc.go.jp

Abstract

Introduction Timely implementation of the discussion process of advance care planning (ACP) is recommended. The communication attitude of healthcare providers is critical in ACP facilitation; thus, improving their communication attitudes may reduce patient distress and unnecessary aggressive treatment while enhancing care satisfaction. Digital mobile devices are being developed for behavioural interventions owing to their low space and time restrictions and ease of information sharing. This study aims to evaluate the effectiveness of an intervention programme using an application intended to facilitate patient questioning behaviour on improving communication related to ACP between patients with advanced cancer and healthcare providers.

Methods and analysis This study uses a parallel-group, evaluator-blind, randomised controlled trial design. We plan to recruit 264 adult patients with incurable advanced cancer at the National Cancer Centre in Tokyo, Japan. Intervention group participants use a mobile application ACP programme and undergo a 30 min interview with a trained intervention provider for discussions with the oncologist at the next patient visit, while control group participants continue their usual treatment. The primary outcome is the oncologist’s communication behaviour score assessed using audiorecordings of the consultation. Secondary outcomes include communication between patients and oncologists and the patients’ distress, quality of life, care goals and preferences, and medical care utilisation. We will use a full analysis set including the registered participant population who receive at least a part of the intervention.

Ethics and dissemination The study protocol was reviewed and approved by the Scientific Advisory Board of the Japan Supportive, Palliative and Psychosocial Oncology Group (Registration No. 2104) and the Institutional Review Board of the National Cancer Centre Hospital (registration No. 2020-500). Written informed consent is obtained from the patients. The results of the trial will be published in peer-reviewed scientific journals and presented at scientific meetings.

Trial registration numbers UMIN000045305, NCT05045040.

  • MENTAL HEALTH
  • Adult oncology
  • CHEMOTHERAPY
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STRENGTHS AND LIMITATIONS OF THIS STUDY

  • This study employs a randomised controlled trial design, patients with diverse cancer types and oncologists in a real-world setting where the intervention will be tested.

  • The intervention programme includes a mobile application (app), which can be used in environments that participants find relaxing and engaging, regardless of location or time.

  • There is currently no gold standard for evaluating advance care planning (ACP) discussions between patients and healthcare providers.

  • In real-world practice, the appropriate time to initiate ACP discussions should be carefully evaluated based on the patient’s condition and psychological status, which may not be optimal in a controlled research setting that enrols patients in the order of their refferal.

  • Multiple intervention components make it difficult to determine how much each component contributes to the outcome.

Introduction

Cancer is a leading cause of death in developed countries, with an estimated 10 million deaths worldwide in 2020,1 accounting for a one-in-six risk of dying from cancer. Although discussions help patients and their families prepare for the end of life, healthcare providers do not adequately discuss treatment preferences or how families may spend their final days with patients with incurable advanced cancer.2 Delayed discussions, that is, after the patient’s condition deteriorates, are associated with unprofitable treatment and delayed coordination with community health services.3 Communicating with patients with incurable advanced cancer is challenging, especially regarding preferred end-of-life care appropriate to their condition.

This discussion, called advance care planning (ACP), is practised based on clinical guidelines worldwide.4 5 In this study, we refer to the following definition of ACP reported by Sudore et al6: ‘ACP is a process that supports adults at any age or stage of health in understanding and sharing their personal values, life goals and preferences regarding future medical care. The goal of ACP is to help ensure that people receive medical care that is consistent with their values, goals and preferences during serious and chronic illness.’ The National Comprehensive Cancer Network guidelines recommend beginning the ACP discussion when a patient’s estimated prognosis is 1 year or less.7 ACP improves communication regarding end-of-life care between patients with cancer and healthcare providers8–11 and increases accessibility to palliative care,12 thus reducing patients’ anxiety and depression and unnecessary aggressive treatment13 14 while increasing satisfaction with care.13 Moreover, patients receiving communication intervention tend to share their end-of-life care preferences with healthcare providers.15

Since barriers to ACP include a lack of supportive and empathetic attitudes and inadequate information delivery by healthcare providers,16 healthcare providers’ communication attitudes towards patients is an essential element of ACP evaluation. Additionally, patients in Asian countries, including Japan, are less likely to communicate their values and preferences to healthcare providers17–19 because they tend to leave treatment decisions to their oncologists, which applies even to end-of-life care.20 21 Therefore, healthcare providers are expected to help patients to share their values and preferences, and provide care in line with their needs. The ACP intervention components include communication support using question prompt lists (QPL) for patients,8 10 22 communication skill training (CST) for healthcare providers,13 23 a combination of CST for healthcare providers and patients,24 and step-by-step in-depth counselling for patients by trained facilitators.12 25 We previously developed a face-to-face behavioural intervention programme using QPL and CST to facilitate patient questioning behaviour to improve the introduction of ACP discussion between healthcare providers who deliver bad news and their patients with cancer.26 A combined 2.5-hour individualised CST for healthcare providers with a 30 min coaching intervention for patients showed statistically significant improvements in empathetic communication and information sharing. Additionally, patients in the intervention group were more satisfied with the consultation than those in the control group.26 27 However, face-to-face programmes held in hospitals can create a significant time and space burden for patients and healthcare providers.

To overcome these problems, we developed an ACP programme mobile application (hereinafter, referred to as ‘app’). We revised the intervention programme26 to include an app with reference to previous QPL studies,28–30 the goal concordant care framework,31 the good death32 33 and digital health-based intervention.34 Owing to the advantages of digital health-based interventions, such as fewer space and time constraints and easier real-time information sharing compared with face-to-face interventions, several medical apps are being developed for behavioural interventions (eg, for physical activity32 33 and psychoeducation35) among patients with cancer. Intervention via apps can reduce the chance of patient contact, which is useful during the COVID-19 pandemic. In light of this, the present study aims to evaluate the effectiveness of an app-based intervention programme intended to facilitate patient questioning behaviour on improving communication related to ACP between patients with advanced cancer and healthcare providers.

Methods and analysis

Study design

This study is a parallel-group, evaluator-blind, randomised controlled trial.

Patient and public involvement

A cancer survivor from a patient advocacy group contributed to the study design and materials via a series of reviews. The study protocol was reviewed by researchers, healthcare providers, patients and the public through the Scientific Advisory Committee of the Japan Supportive, Palliative and Psychosocial Oncology Group (J-SUPPORT, the study ID: 2104). Five patients with cancer attending a study field hospital volunteered to participate in the pretest; their comments were used to refine the study procedures.

Study population

Participants are recruited from the Departments of Oncology, Hepatobiliary Medicine, Respiratory Medicine and Gastroenterology at the National Cancer Centre Hospital (Tokyo), Japan. The inclusion criteria are as follows: patients 20 years or older with incurable advanced cancer, whose attending oncologist indicates that they meet the Surprise Question13 36 (answering ‘no’ to the question ‘Would you be surprised if this patient dies within a year?’); patients are required have an Eastern Cooperative Oncology Group performance status score of 0–2; provision of written consent prior to participation, and ability to read, write and understand Japanese. Exclusion criteria are patients who the attending oncologist judges to have serious cognitive decline, such as delirium or dementia; an estimated prognosis of fewer than 3 months; who are judged by an attending oncologist to be unsuitable for this study; or those participating in other psychological or communication support interventions at the time of enrolment.

Enrolment and randomisation

Participant management, including enrolment, randomisation and data collection via electronic patient-reported outcome (ePRO) and PRO, is conducted online using the central registration system; this system is linked to the app developed in collaboration with SUSMED (Tokyo, Japan), a medical app developer. Research assistants explain the research purpose and procedures to the candidates and obtain written consent (see online supplemental file). After obtaining baseline data, participants are randomly assigned using a minimising method to either the intervention or the control group, in a 1:1 ratio, with stratification factors of the clinical department (respiratory medicine, gastroenterology, hepatobiliary medicine and oncology), sex (male and female) and age (64 years or younger and 65 years or older). Allocation results are blinded to the primary outcome evaluators.

Detailed allocation procedures are not shared with researchers at participating sites, data centres or statistical analysts. Furthermore, they are defined in an internal document at the site of the person responsible for allocation. Participants instal the app on their mobile devices on enrolment. Participants allocated to the control group use an app that contains only ePRO, whereas those allocated to the intervention group use an app containing the intervention programme, in addition to ePRO. If the app cannot be installed on the participant’s mobile device, an iPad with the app installed is available for loan.

Procedures

Five visits are planned: baseline evaluation (T0), an outpatient visit at least 1 week later (T1) and follow-up surveys at 1 week (T2), 12 weeks (T3) and 24 weeks (T4) after the T1 visit, as shown in figure 1. Each visit mainly evaluates how the intervention programme impacts communication between participants and their oncologists during the consultation at T1, the psychological burden of the participants around 2 weeks after the consultation at T2, and the patients’ preferred end-of-life care settings and care preferences and their actual healthcare utilisation at T3 and T4. Intervention group participants receive interventions before T1. Control group participants receive care as usual. The schedule for outcome measurement is shown in table 1. At the T1 visit, the consultation is audiorecorded. The research assistant reminds and asks participants to respond to ePRO according to the response schedule.

Table 1

Schedule for outcome measurement

Figure 1

CONSORT diagram. CONSORT, Consolidated Standards of Reporting Trials.

Intervention programme

The intervention programme, completed between T0 and T1, includes two parts: QPL and identifying participants’ values (table 2). Participants receive a brief explanation of the intervention programme and how to use the app from an intervention provider. Intervention providers are clinical psychologists, nurses or psychiatrists who have participated in intensive training using the intervention manual and have at least 2 years of clinical experience. Participants can review the intervention programme anywhere they like, including the comfort of their own homes, and are encouraged to complete all content on the app before an interview with an intervention provider. A sample of the app screen for the intervention programme is available in the Appendix (see online supplemental figure A1). In the interview, an intervention provider reviews the items selected by a participant and assists them in considering priorities and verbalising crucial topics to discuss with the oncologist. The interview is individually provided once on the phone or face to face at the hospital and is designed to take 30–60 min. Before the outpatient visit following the interview, the intervention provider informs the oncologist what the participant would like to discuss. The intervention providers record and summarise the intervention interviews, review them at weekly conferences and ensure intervention fidelity by the intervention supervisor.

Table 2

Intervention programme (question prompt list and identifying participants’ values)

Assessment measures

Table 1 shows the schedule for outcome measurement.

Primary outcome measure:

Score of oncologists’ communication behaviours—RE subscale (reassurance and emotional support) from the SHARE scoring manual.

The conversation between the participants and oncologists at visit T1 is audiorecorded, and the oncologist’s communication behaviour is scored using the SHARE scoring manual (table 3). SHARE is a conceptual communication skills model comprising 26 items and four subscales: S (supportive environment; 2 items), H (how to deliver bad news; 7 items), A (additional information; (8 items), and RE (reassurance and emotional support; 9 items). We focus on RE, which assesses oncologists’ behaviour in providing reassurance and their empathetic responses to participants’ emotions.37 Scores range from 0 (not applicable at all) to 4 (strongly applicable). Scoring is conducted by multiple evaluators blinded to the assignment. Evaluators are trained in conversation analysis with a manual, and interevaluator and intraevaluator agreements are checked in advance. To achieve a coding agreement rate of 80%, a series of discussions among raters is conducted before the evaluation. An agreement rate of 80% or higher ensures that the reliability of coding is maintained through discussions with a third party, especially for items with few codings, because the possibility that the agreement rate will not reach 80% increases.

Table 3

Oncologists’ communication behaviours: the SHARE coding manual

Secondary outcome measures

Score of oncologists’ communication behaviours—S, H and A subscales from the SHARE scoring manual.

Oncologists’ communication behaviours at visit T1 are evaluated using the S, H and A subscales of the SHARE manual. The scoring method is the same as for the RE subscale used in the primary outcome.

Communication behaviours between participants and oncologists

The audiorecorded conversations between the participant and oncologists are coded, and the communication behaviours are counted using a computer version of the RIAS (the Roter interaction process analysis system).38 The system is widely used in the USA, the UK and Japan.39 40 Manuals have been translated into Japanese and validated for examining patients with cancer.41

RIAS has 42 categories for coding in-consultation communication behaviours. Two blinded, trained coders assign one of the 42 codes to each utterance of the participants and oncologists. To facilitate data interpretation, 21 categories related to the communication behaviours of interest in this study are grouped into 4 clusters based on the conceptual communication skills model used in previous studies.37 42 Table 4 shows the categories constituting each cluster, and all RIAS categories are demonstrated in online supplemental table A1. The number of utterances in each cluster is also evaluated. Coders are trained and certified at the official training site, the RIAS Study Group Japan Chapter. Ten per cent of the total consultations (25 consultations) are double-coded, and intercoder reliability is examined regarding the degree of agreement for the identification of utterances and coding of each utterance. The reliability is high (0.7–0.8) in previous studies.39 43 During the training period, it should be verified that the correlation coefficient meets 0.8.

Table 4

Communication behaviours of both participants and oncologists: the Roter interaction process analysis system

Number of ACP-related topics in the consultation

Conversations between patients and oncologists are coded and counted based on a conversation analysis manual.24 The coders, blinded to assignment, extract the patients’ questions and the cues that the patient is trying to initiate or control the conversation. Next, the coders identify and categorise the patients’ questions and cues into ACP topics along with the QPL questions. The patients’ questions are listed on the intervention feedback sheet given to the oncologist before the visit; therefore, the oncologist may begin to discuss the patients’ questions. The following ACP-related topics are included in the QPL (table 2): future treatment, future living arrangements, when standard treatment is no longer available, prognosis for the future and family support.

Psychological distress

This is obtained at all five scheduled visits. The Hospital Anxiety and Depression Scale (HADS) is a 14-item self-report questionnaire developed for patients with medical illnesses.44 It comprises anxiety and depression subscales (0–21 points each) with a 4-point scale, with higher scores indicating greater anxiety and depression. The Japanese version of the HADS has been validated in a cancer patient population.45

Quality of life

Quality of life is obtained at T0, T2, T3 and T4. The European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 is a 4-domain, 30-item questionnaire comprising functional scales, global health and quality of life scales, symptom scales/items and financial impact.46 Scores for all scales range from 0 to 100. A high score on the functional scales indicates high functioning, and on the global health and quality of life scales, it indicates high health status; a high score on the symptom scales and financial impact indicates severe symptoms or problems. The reliability and validity of the Japanese version have been confirmed.47

Participants’ care goals and preferred places for spending their final days

Participants are questioned about their goals and the places where they would prefer to spend their final days at T0, T3 and T4. We develop two original scales based on the conceptual diagram of care consistent with incurable cancer patients’ goals presented by Halpern31 to assess (1) participants’ preferred treatment options after the completion of standard care (care goal) and (2) participants’ preferred place where they would spend their final days. The treatment options are as follows: (1) I would like to receive treatment to relieve symptoms so that I can live a peaceful life, but I do not want to receive any cancer treatment that has side effects or burden, (2) I would like to receive cancer treatment that has few side effects and low burden so that I can continue my life as prior to the cancer diagnosis, (3) I have important things I need to do, so I would like to receive cancer treatment even if there are side effects or burden, so that I can accomplish them, and (4) I would like to receive all cancer treatments, regardless of their side effects or burden, so that I can live as long as possible. The options for participants’ preferred place where they would spend their final days are as follows: (1) home, (2) a nearby hospital, (3) a palliative care hospital or ward, (4) the hospital where they are receiving treatment and (5) others. These questions are asked to observe the proportion of patients who choose unnecessarily aggressive treatment goals or unrealistic treatment decisions over time.

Participant satisfaction with their oncologists’ consultation

The Patient Satisfaction Survey43 48 49 is conducted at T1. The 11-point scale (0, not satisfied at all, to 10, very satisfied) measures five categories of satisfaction with their oncology consultations: (1) needs addressed, (2) active involvement in the interaction, (3) adequacy of information, (4) emotional support received and (5) the overall interaction.

Feasibility of the intervention

The timing of each data collection is shown in table 1. The intervention’s feasibility is evaluated according to the participants’ assessments of the app’s usability, the time taken for interventions and app log records. The app’s usability is determined by the following five questions: (1) Were the questions you wanted to ask identified during the visit to your oncologist? (2) Did you understand and use the app? (3) Was the app programme helpful? (4) Were you comfortable with the app programme? and (5) Was the telephone or in-person assistance helpful?

Participants rate each item on an 11-point scale (0, not satisfied at all, to 10, very satisfied). The intervention provider records the time taken for the intervention on the intervention report form. App log records, including the time spent browsing and the operation status of the intervention programme, are provided by the app developer.

Demographics and clinical characteristics

Medical care utilisation

This is obtained from the electrical medical record of each participant at the 6-month follow-up. If the participant is not alive at 6 months, a medical record survey will be conducted based on information at the time of death. We obtain the presence or absence of anticancer treatment and a reason for treatment termination if it is discontinued or if there are unscheduled outpatient visits, hospitalisation, intensive care unit admission or use of end-of-life care consultations and palliative care services.

Medical and social background

This information includes cancer type, length of time since diagnosis, age, sex, educational background, employment history, financial status, marital status, household status (lives with others, such as children or those requiring nursing care), methods and times of hospital visits, and whether there is a family member or other person who can accompany them.

Harms

No particularly serious physical adverse events are anticipated for the participants. However, using the app may cause a psychological burden as participants think about preparing for when they will have difficulty continuing cancer treatments. Hence, newly diagnosed anxiety disorders or depression resulting from a psychological burden caused by the intervention are considered adverse events. If a participant reports that the intervention is causing a psychological burden or requests discontinuation of the intervention, it is stopped and reported promptly to their attending oncologists. Participants in the intervention group are scheduled to see an oncologist within 1 week after the intervention. Researchers regularly check for updates to their medical records, if necessary, and case reports are provided at regular team meetings to ensure that researchers can review the course of psychological distress, discuss changes in participants’ conditions caused by the intervention and determine what should be reported to their attending oncologists.

Compensation

Any unexpected health problems participants may experience from study participation are adequately treated based on standard medical care covered by public health insurance programmes, such as National Health Insurance. Participants receive a gift card worth ¥500 at T1.

Sample size calculation

In a previous preliminary study, the effect size of the primary endpoint was 3.1.27 In this study, the principal investigators agree that an effect size of 2.5 would be considered clinically meaningful, given that this is an app-based intervention. Based on a significance level of 5% with a two-tailed test and a power of 80%, 250 participants are required. Previous studies on palliative care had high drop-out rates. This is mainly owing to changes in patients' physical condition over the study period. This study, however, has a short time frame of 1–4 weeks to obtain a primary outcome. In a previous study conducted in the same time frame, the drop-out rate before obtaining the primary outcome was 5%.50 Additionally, in a study that adopted surprise questions in the eligibility criteria, the drop-out rate was 6%.24 Therefore, the planned enrolment is 264 patients, assuming a realistic and minimal drop-out rate of 5%.

Statistical analysis

We estimate the point estimates and 95% CIs of the mean for each group and between-group differences for the primary endpoint. Two-tailed tests determine significance at 5%. We conduct the analysis using a general linear model with the clinical department, sex and age as adjustment factors for allocation. If the number of cases in each stratum is small, we consider whether to adopt all adjustment factors. We use a full analysis set comprising the registered participant population who received at least part of the protocol treatment; however, participants deemed ineligible for the study after registration are excluded from the analysis set. All statistical procedures, including the secondary endpoint and handling of missing data, are detailed in the statistical analysis plan before data evaluation. The occurrence of discontinued cases after randomisation is assessed in both groups. Owing to the nature of the intervention, the programme may cause psychological burdens for some intervention group patients experiencing deteriorating physical conditions. Thus, patients’ reasons for discontinuation must be obtained (to the extent possible) to examine potential bias.

Data monitoring and management

An independent data monitoring team reports monitoring results semiannually. The PRO data obtained are not reported to individual participants or their oncologists to improve clinical care. Weekly meetings are held between the research office and the monitoring team to discuss case enrolment progress and report on cases. Data monitoring is conducted using the entry data in EDC, Viedoc V.4 (Viedoc Technologies, Sweden) and the central registration system by SUSMED (Tokyo, Japan). All study-related paper data, including research assistant notes, intervention case reports, patient-reported questionnaires and consent forms, are stored securely in a lockable cabinet in the principal investigator’s office, as audiorecorded data are stored on an encrypted external hard drive. Only authorised researchers directly involved in the study have data access. All data supporting the study results are stored for at least 5 years and are available on request to the corresponding author. A data monitoring plan is developed and kept by the data management team. No audit is required, and no data monitoring committee is established. No interim analysis is planned.

Ethics and dissemination

The study protocol was reviewed and approved by the Scientific Advisory Board of J-SUPPORT (registration No. 2104) and by the Institutional Review Board of the National Cancer Centre Hospital (registration No. 2020-500). If significant protocol modifications are necessary, the investigators discuss and report them to the committee for approval. The study is conducted according to the ethical guidelines for clinical studies published by the Japanese Ministry of Education, Science and Technology and the Ministry of Health, Labour and Welfare, the modified Act on the Protection of Personal Information, and the principles of the Declaration of Helsinki. Written informed consent is obtained from patients. The results of the study will be published in peer-reviewed scientific journals and presented at scientific meetings. After completing this trial, our team will explore possibilities to expand the app’s availability.

Trial status

The study is currently recruiting participants; enrolment is scheduled for March 2023, with a follow-up in September 2023.

Discussion

We believe that maintaining good communication helps facilitate ACP and ensures that patients with cancer receive care consistent with their values and preferences.51 Communication attitudes, such as lack of empathy and inadequate information delivery by oncologists, are barriers to ACP.16 We hypothesise that providing the oncologists with the feedback sheets will encourage them to communicate supportively with patients, promote patient questioning behaviour and continue the discussion process related to ACP.26 50 Japanese patients with cancer approve of their oncologist’s empathetic behaviour in communicating bad news, which indicates better communication.52

To evaluate ACP discussions, there is currently no gold standard for assessing the success of discussions between patients and healthcare providers. We agree that goal concordance is a crucial patient-centred outcome that we would like to achieve by implementing ACP. However, we do not adopt it as the primary outcome in this study. One reason is that more directly related factors, such as treatments, physical conditions and social situations, affect the outcome related to the concordance between patient preferences and the medical care they received, making it difficult to assess the effectiveness of intervention. Another reason is that patients’ values and preferences might change over time; therefore, it is difficult to show an association between the two at the time of intervention and end of life outcomes. Most previous studies have failed to evaluate the effectiveness of interventions using the outcome.4 Previous studies have used bereaved family assessments for patient goal concordance after patients’ death,13 25 but it is not a direct patient assessment. Additionally, for this study’s eligibility criteria, obtaining enough patients for long-term follow-up survey would be difficult. In this study, we analyse the patients’ healthcare utilisation, care goals and preferences after 6 months resulting from discussions with the oncologist, and only as an exploratory evaluation.

Although the eligibility criteria are based on ACP guidelines, depending on the participant’s readiness, some participants may feel it is too early to consider future treatment and end-of-life while undergoing cancer treatment. There has been much discussion about the appropriate timing of ACP, which is likely to be triggered by a patient’s deteriorating health or reduced treatment options.53 However, there is no evidence regarding the appropriate timing for introducing ACP discussions,53 and it is assumed that some participants may find this intervention burdensome. Moreover, healthcare providers might hesitate to initiate the discussion for fear of causing patient anxiety; thus, more careful ACP referrals and a qualitative exploration of study drop-outs are required.

This study uses the mobile app to improve communication between patients and healthcare providers regarding ACP. Although the apps for behaviour change and psychological intervention are increasing, this study is unique in its focus on facilitating communication related to ACP. The advantage of the app programme is that participants can find an environment and time where they can relax and actively engage in ACP. This is significant for patients with cancer in the ACP programme who have to consider their future treatment and life and express their values and priorities. The scoping review by McMahan et al reported a lack of studies on healthcare systems and policies in the context of ACP.4 A healthcare system should be constructed to ensure that ACP can reach the overall population in need.54 The strength of ACP implemented with apps is the ease of adaptation to the healthcare system, which is promising in a world where COVID-19 brings about uncertain situations.

We recognise the importance of exploring the barriers and facilitators of implementation based on the information gained from this study. When implementing this programme in routine care, it is necessary to consider how multidisciplinary professionals, such as oncologists, nurses and psychologists, can play the role that the intervention providers take on in this study or how existing medical systems, such as electronic medical records can be used. In the Japanese healthcare system, public health insurers pay medical fees for medical consultations conducted by doctors and nurses to alleviate patients’ psychological burden. In 2022, certified psychologists were added as consultation providers, expanding the possibility of implementing ACP for patients in need. Future work should include cost and quality assessment from this study and discussion with study participants and healthcare providers to explore this programme’s feasibility.

The study has several methodological limitations. Although not all eligible patients may own a mobile device compatible with the app, we determined that device access would not limit eligibility. Hence, to allow for a diverse group of participants, iPads able to run the programme app are on loan as alternative means of participation. While patients unfamiliar with the use of the app could participate in this study, patients unable to use the app when adapting to the real world should be considered.

Second, the intervention package comprises multiple components, including the introductory session with the app and patients’ choice of questions to ask and share with their oncologists. We cannot indicate which components improve communication most effectively. Individualised evaluation of app usage, intervention adherence and patient satisfaction should be conducted to understand the challenges ahead for the next step.

Finally, we hypothesise that the intervention programme improves communication between patients and oncologists, leading to ongoing discussions and improving the quality of end-of-life care; however, it is a partial and indirect evaluation of ACP. Although the primary outcome is selected after careful consideration, there is no established method for evaluating ACP, and standardised measurement is still challenging.

Ethics statements

Patient consent for publication

Acknowledgments

We thank Ms. A. Akama and Mr. N. Akama for their support with data management. We thank Dr. K. Sudo, Dr. C. Morizane, Dr. T. Yoshida, Ms. T. Mashiko, Mr. Y. Watanabe, Mr. T. Motohashi, and Dr. Shimazu for their advice about our study. We also thank Ms. K. Shinozaki, Ms. M. Okubo, Ms. I. Tanaka, Ms. H. Kouno, Ms. H. Masubuchi, Ms. C. Kida, Ms. K. Hata, Ms. A. Sato, Mr. S. Goto, and Ms. M. Kanamaru for data collection and logistic assistance.

References

Supplementary materials

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

Footnotes

  • Contributors YU is the principal investigator. YU and MF conceived the concept of the study. YU, MF, BN, TA, MM, NS, TU, AO, TM and MK were involved in the study design. TY and SO developed the statistical analysis plan. AO and TM played roles in data management. KO, MK, MO and MF contributed to data collection. YU, MF and MO supervised the conduct of this study. KO, MO and MF drafted the manuscript. YU, BN, TA, MM and the other authors contributed substantially to the revision of the manuscript. All authors have approved the manuscript as submitted and agreed to accept responsibility for any part of the work.

  • Funding This study is funded by the Health Labour Sciences Research Grant from The Ministry of Health Labour and Welfare Japan (Funding ID: 20EA1010) and Grant-in-Aid for Scientific Research (B) from the Japan Society for the Promotion of Science (Funding ID: 19H03878) to PI Yosuke Uchitomi. These funders were not involved in the design of this study and will not play any role in its conduct, analysis, data interpretation or decision to submit results. The work is endorsed by the Japan Supportive, Palliative and Psychosocial Oncology Group (J-SUPPORT) as the J-SUPPORT 2104 study, funded by the National Cancer Center Research and Development Fund (30A-11).

  • Competing interests All authors declare that they have no competing interests directly related to this work. BN reports grants from Ono Pharmaceutical and Takeda Pharmaceutical, and personal fees from Ono Pharmaceutical, Bristol-Myers Squibb, Daiichi Sankyo and Taiho Pharmaceutical. TA reports grants from Daiichi Sankyo, Eisai, Fujifilm RI Pharma, MSD, Otsuka Pharmaceutical, and Shionogi, personal fees from Igaku-Shoin, AstraZeneca, Chugai Pharmaceutical, Daiichi Sankyo, Sumitomo Dainippon Pharma, Eisai, Janssen Pharmaceutical, Kyowa Kirin, Eli Lilly, MSD, Meiji Seika Pharma, Mochida Pharmaceutical, NIPRO, Nippon Zoki Pharmaceutical, Otsuka Pharmaceutical, Pfizer, Takeda Pharmaceutical and Viatris, and pending patents (2019-017498 & 2020-135195). TY reports grants or contracts from AC Medical, A2 Healthcare Corporation, EP Croit, ClinChoice., Japan Tobacco, Japan Media Corporation, Medidata Solutions, Ono Pharmaceutical, Asahi Intecc, 3H Clinical Trial, Medrio, Nipro Corporation, Intellim Corporation, Welby, 3H Medi Solution, Nipro Corporation, BaseConnect, Nobori, Puravida Technologies and Hemp Kitchen and grants to the affiliated institutions from Kyowa Kirin, Tsumura & CO., Daiichi Sankyo Company, Otsuka Pharmaceutical and Eisai, and consulting fees from EPS Corporation., Japan Tobacco, Medidata Solutions, Ono Pharmaceutical, Kowa Company, Chugai Pharmaceutical, Tsumura & Co., Daiichi Sankyo Company, Eisai, Asahi Intecc, Asahi Kasei Pharma Corporation, 3H Clinical Trial, Intellim Corporation, Takeda, AstraZeneca, Sonire Therapeutics, Seikagaku Corporation, and Merck & Co, and personal fees from Nipro Corporation.

  • Patient and public involvement Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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