- Study Protocol
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Feasibility, user experiences, and preliminary effect of Conversation Cards for Adolescents© on collaborative goal-setting and behavior change: protocol for a pilot randomized controlled trial
Pilot and Feasibility Studies volume 5, Article number: 149 (2019)
Adolescents and providers can benefit from practical tools targeting lifestyle modification for obesity prevention and management. We created Conversation Cards for Adolescents© (CCAs), a patient-centered communication and behavior change tool for adolescents and providers to use in clinical practice. The purpose of our study is to (i) assess the feasibility of CCAs in a real-world, practice setting to inform full-scale trial procedures, (ii) assess user experiences of CCAs, and (iii) determine the preliminary effect of CCAs on changing behavioral and affective-cognitive outcomes among adolescents.
Starting in early 2019, this prospective study is a nested mixed-methods, theory-driven, and pragmatic pilot randomized controlled trial with a goal to enroll 50 adolescents (13–17 years old) and 9 physicians practicing at the Northeast Community Health Centre in Edmonton, Alberta, Canada. Adolescents will collaboratively set one S.M.A.R.T. (specific, measurable, attainable, realistic, timely) goal with their physician to implement over a 3-week period; however, only those randomized to the experimental group will use CCAs to inform their goal. Outcome assessments at baseline and follow-up (3 weeks post-baseline) will include behavioral, affective-cognitive, and process-related outcomes.
In examining the feasibility, user experiences, and preliminary effect of CCAs, our study will add contributions to the obesity literature on lifestyle modifications among adolescents in a real-world, practice setting as well as inform the scalability of our approach for a full-scale effectiveness randomized controlled trial on behavior change.
ClinicalTrials.gov Identifier: NCT03821896.
The Task Force appointed by the Endocrine Society to formulate evidence-based clinical practice guidelines for pediatric obesity deemed the prevention and management of obesity in adolescents a high priority . Identified recommendations placed particular attention on the importance of providers in prescribing and supporting a healthy lifestyle through the use of behavior change techniques such as general communication skills and shared-decision making (SDM) . SDM is a patient-centered technique that actively engages patients in the evaluation of available treatment options and in the treatment decision-making process . It is said to be comprised of a pre-decisional model focused on collaborative deliberation, followed by an act of determination for post-decisional outcomes . A desirable strategy for patients and providers to reach agreement on a decision may involve collaborative goal-setting, which is the most widely used technique for behavior change in pediatric obesity interventions . Given the maximized effectiveness of pairing SDM with goal-setting in patients with chronic diseases [5, 6], the inadequacy of education and knowledge alone in changing behavior , and adolescents’ increasing developmental capacity to make decisions, these techniques may hold promise in facilitating lifestyle change across a range of behaviors in adolescents through patient-centered goals and actions.
While providers recognize the problem in pediatric obesity and acknowledge their responsibility in addressing weight [8,9,10], they are often not opportunistic in the prevention and management of obesity through lifestyle interventions. This is likely due to a combination of factors, including high practice workload and a lack of training [11,12,13] and competency , and is explained, at least in part, by empirical data, where only 4.3% of physicians in the USA reported receiving specialty training in obesity . Further, there is little evidence to support the use of goal setting between providers and patients, including adolescents, in early-intervention settings despite recommendations for doing so [16,17,18]. These data pave the way for practical tools and resources as useful additions to providers’ menu of consultation services. Particularly, rather than direct discussions on weight, lifestyle-based tools that incorporate collaborative goal-setting may maximize providers’ and adolescents’ self-efficacy for lifestyle modification.
Given these points, our team developed a bilingual (English and French) communication and behavior change tool called Conversation Cards for Adolescents© (CCAs). We believe that CCAs may have value in supporting providers in delivering health services for adolescents with and without obesity, providing a novel, patient-centered tool to encourage productive conversations about healthy lifestyle behavior changes. Rooted in the social ecological model  and the social cognitive theory , CCAs capitalize on goal-setting as a mechanism for self-regulation and self-efficacy , both of which are often used to close the intention to action gap. A recent systematic review encouraged the conduct of high-quality studies to determine the effectiveness of personalized care planning on goal achievement as set by patients themselves, as opposed to providers or researchers . However, the feasibility of intervention-based programs in promoting healthy lifestyles among adolescents, particularly through the use of tools, message tailoring, and goal-setting, should be explored first. Our aim in conducting this pilot randomized controlled trial (RCT) is to (i) assess the feasibility of CCAs in a clinical setting to inform full-scale trial procedures, (ii) assess user experiences of CCAs, and (iii) determine the preliminary effect of CCAs on changing behavioral and affective-cognitive outcomes among adolescents. Specifically, our primary objective is to assess the feasibility of using CCAs in a real-world, clinical setting to inform full-scale RCT procedures, including time needed to train physicians, acceptability of the proposed design and procedures, acceptability and completeness of recruitment and data collection methods, participation and attrition levels, collaborative goal-setting with adolescents, barriers to maintaining delivery of implementation over the trial period, and sample size estimation. Secondary objectives include assessing user experiences (adolescents and physicians) related to CCAs and determining the preliminary effect of CCAs on changing behavioral and affective-cognitive outcomes among adolescents.
Our study, which will begin recruitment in spring 2019 (estimated study completion date in April 2020), is a nested mixed-methods, theory-driven, and pragmatic pilot RCT [21, 22] involving adolescents and physicians. The Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) checklist for this protocol paper is included in Additional file 1. We will follow recommendations for reporting of treatment fidelity in behavioral interventions to manage pediatric obesity  and the Consolidated Trials of Reporting Trials (CONSORT) extension for pragmatic trials  in reporting our findings.
Rationale for a mixed-methods, pragmatic trial
Attempting to mimic real-world settings as closely as possible, pragmatic RCTs are an excellent approach to maximize trial validity and usefulness in health care settings other than the one they are conducted in . Our trial will incorporate the following pragmatic components: use of an existing clinical practice, minimal patient selection criteria, use of real-world adolescent patients, and use of existing practices for recruitment, eligibility assessment, and follow-up procedures . Further, adopting a mixed-methods approach will allow us to assess intervention components and how they interact with one another through triangulation, complementarity, expansion, and development .
We will establish collaborations with the Northeast Community Health Centre (NECHC, Alberta Health Services, Edmonton, Alberta, Canada). The NECHC offers an academic primary and secondary clinical care setting, here-in referred to as an “early-intervention setting.” Staff at the NECHC include administrative support, nurses, a social worker, and consulting physicians. All participating physicians (SL, HR, TL, BI, LJ, FN, KT, JLW, MZ) are pediatricians who offer general and specialty clinical services for 1–18-year-olds and their families, many of whom are refugees and new Canadians living in urban areas of Edmonton. The pediatric and adolescent clinics contain the main clinic space with a waiting area and eight exam/counseling rooms and offers in-person and telehealth services.
Adolescents will be eligible to participate if they are 13–17 years old, have the developmental and language capacities to complete our intervention (English literacy and comprehension), and are interested in setting a lifestyle/behavioral goal related to improving diet, physical and sedentary activities, sleep, relationships, or mental health. These eligibility requirements will be confirmed by our research team members during recruitment by consulting with administrative/clinical staff (developmental and language capacities) and adolescents (interest in goal-setting). All physicians delivering care to adolescents at the NECHC will be eligible and invited to participate.
Administrative/clinical staff will approach families and adolescents to gauge interest in our study and obtain verbal consent for contact by the study coordinator (MK). MK will be present on-site to verify eligibility (developmental and language capacities), explain the study to families in detail, and facilitate written assent (adolescents) and consent (parents) procedures. As per existing practice at the NECHC, administrative/clinical staff will measure adolescents’ height and weight on the day of their medical appointment before they see their physician; nurses will liaise with MK to provide demographic and anthropometric data. Physicians will be recruited by email or verbal invitation through existing relationships with research team members. Physicians will be free to accept or decline participation following a brief description of the proposed study.
We will adhere to a number of evidence-based strategies to recruit and retain families , including (i) clearly describing study expectations and commitments to families at the time of enrollment, (ii) using families’ preferred mode of contact (e.g., telephone, text message) for correspondence, (iii) ensuring families understand the distinction between research and their clinical care, (iv) confirming families’ understanding of the value of their study participation, (v) establishing an ongoing mutual understanding of study expectations, commitments, and progress to administrative/clinical staff, and (vi) offering gift cards as tokens of appreciation ($25 Visa gift card per adolescent; $25 Amazon gift card per physician and administrative/clinical staff).
Randomization and allocation procedures
Adolescents will be randomly allocated to one of two groups (experimental or control) with a 1:1 allocation ratio and using randomly varied permuted blocks of 2 and 4. Participant randomization will be performed in REDCap® (Research Electronic Data Capture) using allocation tables that were generated by the Data Coordinating Centre statistician from the Women and Children’s Health Research Institute (University of Alberta). REDCap® maintains an automated audit trail, which includes the assigned study identification number, treatment allocation, and date and time of the transaction. The study coordinator, who will undertake study assessments with adolescents, will have access to REDCap® on-site to randomize and provide allocations to adolescents; allocation concealment will be ensured as the randomization service does not release the code for the randomization and the allocator will have no prior knowledge about the random sequence.
To ensure a comparable level of understanding and communication skills, research team members (MK, GDCB) will hold two in-person orientation sessions (duration 1 h/each) with participating physicians that include discussions and decisions related to the study protocol such as intervention design, process, and logistics. We will also hold one in-person training session (duration 2 h) with physicians on intervention delivery, including shared decision-making principles and S.M.A.R.T. (specific, measurable, attainable, realistic, time-based) goal-setting .
Toolkit and documentation (experimental group)
The toolkit includes CCAs as well as a CCA chart note and a goal-setting sheet (Additional file 2).
Conversation Cards for Adolescents©
The development of CCAs is described elsewhere (Kebbe M, Perez A, Buchholz A, McHugh TLF, Scott SD, Richard C, Dyson MP, Ball GDC: Conversation cards for adolescents©: a communication and behavior change tool for health care providers and adolescents with obesity, submitted). Briefly, CCAs are a hard-copy deck of 45 cards that are organized into three categories, including: What STOPS you from having a healthy lifestyle? What HELPS you to have a healthy lifestyle? and What COULD HELP you to have a healthy lifestyle? Each category contains an individual statement pertaining to one or more of following suits: nutrition, physical activity, sedentariness, sleep, mental well-being, relationships, and clinical factors (please see Fig. 1 for CCA card examples). After the study coordinator provides them with instructions for completing the task, adolescents examine the deck of CCAs and independently select the top 3 factors that resonate most with them in changing their lifestyle habits.
CCA chart note
After completing the CCA activity, adolescents will record their top 3 choices on a chart note. Adolescents will leave the CCA deck with the study coordinator and bring the chart note with them into their clinical appointment. Following their appointment, the study coordinator will photograph the chart note using a study-specific iPad for documentation purposes. Adolescents will keep the hard-copy chart note with them as a frame of reference for the priorities of change they had identified.
Adolescents will be given a S.M.A.R.T. goal-setting sheet template to bring with them into their clinical appointment. Following the appointment, the study coordinator will photograph the goals sheet using the study-specific iPad for fidelity with S.M.A.R.T. goal-setting and documentation purposes. Adolescents will keep the hard-copy goal-setting sheet with them as a frame of reference for the changes they planned to make with their physician.
The entire administration process for both experimental and control groups, which will take place during scheduled clinical appointments after physicians address the primary health concern, should take no more than 25–30 min to perform. This is a 5–10-min addition to regular clinical visit length, which is to test the feasibility of the goal-setting process in a real-world, practice environment.
Adolescents randomized to the experimental group will be asked to complete the CCA activity in a quiet, private room at the clinic 15 min before their clinical appointment. Adolescents will review their choices (as indicated on the CCA chart note) with their physician, who will help them set a S.M.A.R.T. goal for their primary priority. Adolescents will be advised to make one goal, which will be documented on the goal-setting sheet, to ensure that achievement over our 3-week follow-up period is feasible.
Adolescents in the control group will attend their scheduled clinical appointment with their physician, including any education, information, or additional consultations as deemed necessary by their provider. Control group adolescents will not complete the CCA activity or any tool-related outcome measures; however, they will set one S.M.A.R.T. lifestyle goal with their provider.
In addition to collaborative goal-setting, physicians (SL, HR, TL, BI, LJ, FN, KT, JLW, MZ) will use shared decision-making principles with both groups to maximize patient-centered care. We will debrief with each physician after their first experimental and first control clinical appointments to solicit feedback, reinforce intervention fidelity, and make any necessary modifications to intervention procedures (please see Additional file 3 for the detailed intervention procedures for physicians).
Demography, anthropometry, clinical, and intervention data
For efficiency, we will collect demographic data (e.g., date of birth, sex) verbally from adolescents. We will obtain measured height and weight data at the point of eligibility screening; existing equipment at the NECHC will be used to measure this data based on established protocols established . We will also document clinical (e.g., physician name, primary health concern) and intervention-related (e.g., appointment duration, top 3 priorities) data. This information will be documented on a data file separate from a master file containing participants’ IDs and names. Physicians will complete a sociodemographic survey (hard-copy or electronic), which will document variables such as date of birth, year of graduation from terminal degree, and number of years in providing care to adolescents. We will document this information on a password-secure Excel spreadsheet and perform source document verification to ensure consistency between the data collected and entered.
We will measure feasibility metrics and thresholds of success outlined in Table 1, as well as process, resource, management, and scientific assessments. These evaluations were informed by a modified version of the framework described by Tickle-Degnen (2013)  and will either have specific quantifiable thresholds or will be evaluated by the on-site study coordinator, physicians, and administrative/clinical staff through direct observation and experiences from the trial.
What is the expected:
Number of eligible members of the targeted population?
Refusal proportion for participation and for randomization?
Retention and follow-up proportions as the participants move through the trial?
How feasible and suitable are:
Eligibility criteria? Are criteria clear and sufficient or too inclusive or restrictive?
Data collection assessments? Do participants understand the questions and other data collection methods? Do they respond with missing or unusable data?
Data collection procedures? Do the participants have enough time and capacity to complete data collection procedures? Does the overall data collection plan involve a reasonable amount of time, or does it create a burden for the participants?
Does the clinical environment have the:
Physical capacity to handle the number of participants (e.g., private room to complete CCAs)?
Time to conduct each stage and aspect of the protocol? What are the time frames, and how do they coordinate with other responsibilities? How long does it take to connect with a participant?
Equipment (e.g., CCAs, iPad) in the correct place at the correct time? What equipment is needed, and is it available when needed?
Ability to deal with broken, lost, or stolen equipment and materials? Are there backup plans for obtaining needed equipment and materials?
Adequate software to capture and use data? What software is available for conducting the research?
Clinical site’s willingness, motivation, and capacity to carry through with study-related tasks and to support researchers’ time and effort? What administrative services are in place for research at this level?
Documented evidence indicating that these centers abide by their commitments? What are the challenges in fulfilling research support commitments?
Access to services, such as printing, copying, and technology (e.g., WIFI for on-site randomization)?
What are the challenges and strengths of:
The investigators’ administrative capacity to manage the planned RCT?
Research investigator and staff capacities, expertise, and availability for the planned research activities?
Formats and structures of forms that document participant progress through the trial?
Accurate data entry into the computer? Are data lost, forgotten, or entered incorrectly? How are data files organized, named, and dated? Who is in charge of tracking the latest data entry and the quality of entry?
Matching of data to participants from different sources (e.g., allocation group with corresponding outcome assessments)?
Management of the ethics of the research? To what extent do staff comply with the approved research protocol? How effectively are adverse events (e.g., feeling overwhelmed from working on lifestyle) during implementation identified, documented, and reported? What happens if a participant experiences a clinical emergency or if family abuse is identified during the trial?
What is the level of safety of the procedures in the intervention or interventions?
What is the level of safety and burdensomeness of the frequency, intensity, and duration of the intervention? Can these and other elements be standardized in a protocol without loss of a patient-centered, individualized focus?
What are the reliability, validity, and trustworthiness of the assessments for the targeted population for this specific intervention? Do the assessments capture individual participants’ needs and measure their responsiveness to these needs?
What values constitute clinically meaningful differences on assessment procedures?
What is the expected degree of change (i.e., responsiveness) of the participants?
What are the estimates of the intervention effect and the variance of that effect across the planned population?
We will use a range of questionnaires to examine behavioral, affective-cognitive, and process evaluation outcomes. Adolescents and physicians will be given the option to complete the instruments outlined below using paper-based copies or online using a study iPad. We selected several reliable and validated patient-reported outcome measures on collaborative goal-setting and tool user experiences, or researcher-developed questionnaires/interview guides on the degree of and effort made for goal achievement, outcome prioritization, and tool likeability, usefulness, feasibility, and usability. For physicians, we will explore tool user experiences, tool acceptance and adoption, tool likeability, usefulness, feasibility, and usability, and appointment duration. All physicians are exposed to the CCAs in the orientation and training sessions, as well as before completing the tool assessments. When different reliable and validated questionnaires on the same topic were available in the literature, we chose ones that were most relevant to our study and did not require any adaptations (please see Additional file 4 for the questionnaires and interview guide).
Technology acceptance model
This questionnaire uses a 7-point scale and includes 11 items representing perceived usefulness and perceived ease of use of a technology .
User experience questionnaire
This questionnaire uses a 7-point scale to represent participants’ agreement on 26 contrasting attributes that may apply to a product .
Tool likeability, usefulness, feasibility, and usability
To assess these constructs, we will use open- and closed-ended researcher-developed questions modified for both adolescents and physicians.
Patient perception of collaborative goal-setting
This questionnaire uses a 5-point scale and includes five factors: listen and learn from each other; share ideas; caring relationship; agree on a measurable objective; support for goal achievement .
The study coordinator will time the duration of the clinical appointments for both experimental and control groups using a timer on the study-specific iPad.
The study coordinator will call adolescents (duration ~ 30 min) to inquire about their participation (e.g., using a 0–9 scale researcher-developed questions for the degree of changes made to achieve the set goal) and engagement (e.g., study procedures, including ranking the outcome measures used for this study in order of importance).
Schedule of assessments
There are three data collection time points, each of which will take 15–30 min to complete. At time zero (T0), measurements will occur immediately before the clinical appointment; at T1, measurements will occur immediately after the clinical appointment; and at T2, a follow-up assessment will take place 3 weeks after the scheduled clinical appointment. Outcome measures collected at the three time points for adolescents and physicians are indicated in Tables 2 and 3.
Due to a lack of research studies directly comparable to ours, we were unable to use recommendations for pilot trial sample sizes on the basis of effect size for a future primary outcome on collaborative goal-setting . We justified our pilot trial sample size of 50 adolescents with pragmatic considerations. That is, assuming ~ 85% recruitment of our sample of 50 adolescents, we estimated a margin of error of ± 10% for a 95% confidence interval; this recruitment percentage is derived from similar RCTs conducted in a primary care setting related to pediatric obesity [35, 36].
As per recommendations for pilot studies, our analysis will be primarily of a descriptive nature on feasibility outcomes . Adolescent and physician characteristics will be summarized using descriptive statistics. Proportions, between-group differences, and correlations for quantitative secondary outcome measures completed by adolescents will be examined using descriptive statistics, independent sample T tests, and regression analyses respectively, as conducted by the blinded Data Coordinating Centre statistician from the Women and Children’s Health Research Institute (University of Alberta). Contingent on sample size distributions by weight, we will also examine potential differences in responses among adolescents of regular-weight versus those with overweight, obesity, or severe obesity; the analysis will adhere to the intention-to-treat principle in that none of the enrolled (randomized) adolescents will be excluded from the analysis and all patients will be analyzed according to the randomization scheme. Qualitative data will be audio-recorded, transcribed verbatim using The Comma Police, managed using NVivo 11, and analyzed by two independent reviewers using content analysis ; field notes and memos will be documented.
Evaluation of implementation
We will use the Centers for Disease Control and Prevention Framework for Program Evaluation for a qualitative evaluation of our intervention . This framework is suitable and relevant to how physicians practice clinically, and includes engaging stakeholders, describing the interventions, focusing the evaluation design, gathering credible evidence, justifying conclusions, and ensuring use and sharing lessons learned. This evaluation is not linear; however, earlier steps (e.g., engaging physicians in the design of the trial) provide the foundation for subsequent steps (e.g., ensuring the trial procedures are clinically relevant). The purpose of this qualitative evaluation is to understand the impact and implementation of our interventions (e.g., advantages, disadvantages) and facilitate its integration and sustainability at the NECHC and similar health care settings (e.g., by identifying barriers and enablers). Program evaluations are best completed in a team approach; we will plan an end-of-study evaluation team meeting (~ 1 h) to discuss feasibility metrics between the research team, physicians, and administrative/clinical staff.
Project management considerations
We will use Microsoft® Excel and REDCap®, a secure, online data collection and management platform. REDCap® is hosted and supported by the Women and Children’s Health Research Institute (University of Alberta).
Clinical trial registration
We registered our trial on clinicaltrials.gov (Identifier: NCT03821896) prior to patient recruitment and iteratively make note of any prospective changes to our study. Protocol amendments will be made on an as-needed basis.
Research ethics considerations
We will obtain ethics approval from the Human Research Ethics Board (University of Alberta) and operational approval from Alberta Health Services (Edmonton, Alberta, Canada). Participants may experience psychosocial adverse events in relation to making lifestyle changes, which will be recorded and monitored by the on-site research, administrative, or clinical staff. All adolescents, parents, and physicians enrolled in our trial will provide written informed assent (adolescents) and/or consent (parents and physicians).
Confidentiality will be explained to participants as part of the consent process. We will only collect personal health information relevant for this study. To protect identity, participants will be assigned a number and names and other identifying information will be removed for analysis. Further, any information shared outside of our research team will be done at the group-level, so no individuals will be named or identified. Any information on a computer will be protected with a password and saved for 5 years on a secure server maintained by MedIT (Faculty of Medicine & Dentistry, University of Alberta). Hard-copy documentation will also be securely stored for 5 years at the Edmonton Clinic Health Academy (University of Alberta) in a locked filing cabinet.
Knowledge translation, exchange, and dissemination
Our primary aim in evaluating the feasibility of CCAs in our pilot trial is to ultimately improve adolescent-provider communication related to shared decision-making and goal-setting for preventing or managing pediatric obesity. We will use a collaborative approach of integrated knowledge translation  to engage our end-users (adolescents, physicians) throughout the study; this will ensure that outputs are relevant and practice to specific audiences [40,41,42]. For example, in qualitatively exploring adolescents’ priorities in the context of their clinical encounter as well as physicians’ study conceptualizations and evaluations on the intervention implementation, we can help ensure future applications of CCAs are relevant and actionable in the practice setting. In addition to disseminating our findings via peer-reviewed publications and conference presentations, we plan to create infographics detailing the development and evaluation of CCAs; these will be shared internally with team members and our research participants as well as externally through various social media platforms (e.g., study blog: http://www.teensaid.wordpress.com).
A complex set of biological, social, and environmental factors contribute to the high prevalence of obesity in children and adolescents. The complexity of obesity is especially apparent in adolescents who undergo a number of physical, physiological, and psychosocial changes as they grow and develop. Early-intervention settings currently lack novel and developmentally appropriate tools for providers to prevent and manage adolescent obesity, with existing lifestyle interventions only showing minimal effectiveness. With this in mind, we have a compelling case for developing and evaluating our clinical, bilingual tool as a means of targeting and tailoring obesity prevention and management approaches among adolescents.
Our research will contribute to real-world clinical settings for obesity prevention and management while emphasizing patient-centered care. Patient-centered care may decrease health care costs since patients play a more active role in their own health care to collaboratively reach a correct diagnosis and create personalized treatment plans with their providers. For example, a randomized study by Bertakis and Azari (2011) showed that a higher average amount of patient-centered primary care visits was associated with significant decreases in the annual number of specialty-care visits, hospitalizations and diagnostic services, and laboratory and diagnostic test charges . This approach to health care decision-making also fosters the invaluable role that adolescents are encouraged to assume in their own health care. In doing so, it recognizes increasing adolescent autonomy and posits that adolescents present with unique experiences, needs, and priorities that may not otherwise be captured in traditional models of care. Particularly, using S.M.A.R.T. goal-setting is consistent with recommendations outlined in a review of childhood obesity by Kumar and Kelly (2017) . Because adolescents often set unrealistic goals , S.M.A.R.T. goals can be an effective way in which providers encourage adolescents to strive for healthy lifestyle changes. S.M.A.R.T. is especially relevant to short- vs long-term goals, and is consistent with our chosen 3-week follow-up period.
We chose the NECHC based on expressed interest from on-site providers in expanding their scope of practice beyond clinical care exclusively to include clinical and health services research that aligns with their approach to pediatric and family health. During our study design phase, we undertook consultations with relevant stakeholders, including physicians, nurses, administrative/clinical staff, and researchers. This was to ensure that the study design and procedures were acceptable to all parties involved, for example, by ensuring relevance to the way in which physicians deliver their clinical services to further support study implementation.
In addition to examining experiences in using CCAs, our trial will support assessment and decision-making for a future full-scale RCT. Examining feasibility as the primary outcome of this study will inform necessary modifications in regards to the full study design and procedures. The planning, conduct, and reporting of our research is in alignment with a recent Pediatric Obesity issue showcasing and emphasizing the importance of novel and methodologically rigorous RCTs focused on preventing and managing pediatric obesity . The progression of this pilot RCT to an effectiveness RCT will provide an evidence base of an approach to manage adolescent obesity that is appealing to diverse stakeholders, including physicians, adolescents, and caregivers. If effective, CCAs will offer benefits in adolescent-provider communication, adolescent experiences in care, and improved lifestyle habits among adolescents.
Availability of data and materials
Styne DM, Arslanian SA, Connor EL, Farooqi IS, Murad MH, Silverstein JH, et al. Pediatric obesity—assessment, treatment, and prevention: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2017;102:709–57.
Stiggelbout AM, Weijden TV, Wit MP, Frosch D, Légaré F, Montori VM, et al. Shared decision making: really putting patients at the centre of healthcare. BMJ. 2012;344:e256.
Elwyn G, Miron-Shatz T. Deliberation before determination: the definition and evaluation of good decision making. Health Expect. 2010;13:139–47.
Ross MM, Kolbash S, Cohen GM, Skelton JA. Multidisciplinary treatment of pediatric obesity: nutrition evaluation and management. Nutr Clin Pract. 2010;25:327–34.
Joosten EA, DeFuentes-Merillas L, De Weert GH, Sensky T, Van Der Staak CP, de Jong CA. Systematic review of the effects of shared decision-making on patient satisfaction, treatment adherence and health status. Psychother Psychosom. 2008;77:219–26.
Elwyn G, Laitner S, Coulter A, Walker E, Watson P, Thomson R. Implementing shared decision making in the NHS. BMJ. 2010;341:c5146.
Bandura A. Social foundations of thought and action: a social cognitive theory. Englewood Cliffs, NJ: Prentice Hall; 1986.
Tucker CM, Shah NR, Ukonu NA, Bilello LA, Kang S, Good AJ, et al. Views of primary care physicians regarding the promotion of healthy lifestyles and weight management among their patients. J Clin Outcomes Manag. 2017;24:259–66.
Reed M, Cygan H, Lui K. Identification, prevention, and management of childhood overweight and obesity in a pediatric primary care center. Clin Pediatr. 2016;55:860–6.
Tanda R, Salsberry P. The impact of the 2007 expert committee recommendations on childhood obesity preventive care in primary care settings in the United States. J Pediatr Heal Care. 2014;28:241–50.
Sargent GM, Pilotto LS, Baur LA. Components of primary care interventions to treat childhood overweight and obesity: a systematic review of effect. Obes Rev. 2011;12:219–35.
Jay M, Chintapalli S, Squires A, Mateo KF, Sherman SE, Kalet AL. Barriers and facilitators to providing primary care-based weight management services in a patient centered medical home for veterans: a qualitative study. BMC Fam Pract. 2015;16:167.
Story MT, Neumark-Stzainer DR, Sherwood NE, Holt K, Sofka D, Trowbridge FL, et al. Management of child and adolescent obesity: attitudes, barriers, skills, and training needs among health care professionals. Pediatrics. 2002;110:210–4.
van Gerwen M, Franc C, Rosman S, Le Vaillany M, Pelletier-Fleury N. Primary care physicians’ knowledge, attitudes, beliefs and practices regarding childhood obesity: a systematic review. Obes Rev. 2009;10:227–36.
Pagnini DL, King L, Booth S, Wilkenfeld R, Booth M. The weight of opinion on childhood obesity: recognizing complexity and supporting collaborative action. Int J Pediatr Obes. 2009;4:233–41.
Coulter A, Entwistle VA, Eccles A, Ryan A, Shepperd S, Perera R. Personalised care planning for adults with chronic or long-term health conditions. Cochrane Database Syst Rev. 2015;3:cd010523.
Reeves D, Hann M, Rick J, Rowe K, Small N, Burt J, et al. Care plans and care planning in the management of long-term conditions in the UK: a controlled prospective cohort study. Br J Gen Pract. 2014;64:e568–75.
Burt J, Roland M, Paddison C, Reeves D, Campbell J, Abel G, et al. Prevalence and benefits of care plans and care planning for people with long-term conditions in England. J Health Serv Res Policy. 2012;17(Suppl 1):64–71.
Sallis JF, Owen N, Fisher EB. Ecological models of health behavior. In: Glanz K, Rimer BK, Viswanath K, editors. Health behavior and health education: theory, research, and practice. California, United States: Jossey-Bass; 2008. p. 465–85.
Vermunt N, Harmsen M, Westert GP, Rikkert MGM, Faber MJ. Collaborative goal setting with elderly patients with chronic disease or multimorbidity: a systematic review. BMC Geriatr. 2017;17:167.
Arnold DM, Burns KE, Adhikari NK, Kho ME, Meade MO, Cook DJ, et al. The design and interpretation of pilot trials in clinical research in critical care. Crit Care Med. 2009;37:S69–74.
Schwartz D, Lellouch J. Explanatory and pragmatic attitudes in therapeutical trials. J Clin Epidemiol. 2009;62:499–505.
JaKa MM, Haapala JL, Trapl ES, Kunin-Batson AS, Olson-Bullis BA, Heerman WJ, et al. Reporting of treatment fidelity in behavioural paediatric obesity intervention trials: a systematic review. Obes Rev. 2016;17:1287–300.
Zwarenstein M, Treweek S, Gagnier JJ, Altman DG, Tunis S, Haynes B, et al. Improving the reporting of pragmatic trials: an extension of the CONSORT statement. BMJ. 2008;337:a2390.
Ford I, Norrie J. Pragmatic trials. N Engl J Med. 2016;375:454–63.
Morse JM. Principles of mixed methods and multi-method research design. In: Teddlie C, Tashakkori A, editors. Handbook of mixed methods in social and behavioral research. Thousand Oaks: Sage Publication; 2003. p. 189–208.
Robinson KA, Dennison CR, Wayman DM, Pronovost PJ, Needham DM. Systematic review identifies number of strategies important for retaining study participants. J Clin Epidemiol. 2007;60:751–7.
Williams C. MGMT. 5th edition. United States: South-Western College Publishing; 2012.
Johnson ST, Kuk JL, Mackenzie KA, Huang TTK, Rosychuk RJ, Ball GDC. Metabolic risk varies according to waist circumference measurement site in overweight boys and girls. J Pediatr. 2010;156:247–52.
Tickle-Degnen L. Nuts and bolts of conducting feasibility studies. Amer J Occup Ther. 2013;67:171–6.
Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 1989;13:319–40.
Laugwitz B, Held T, Schrepp M. Construction and evaluation of a user experience questionnaire. In: Holzinger A, Miesenberger K, editors. Symposium of the Austrian HCI and usability engineering group. Berlin: Springer; 2008. p. 63–76.
Morris HL, Dumenci L, Lafata JE. Development and validation of an instrument to measure collaborative goal setting in the care of patients with diabetes. BMJ Open Diabetes Res Care. 2017;5:e000269.
Al W, Julious SA, Cooper CL, Campbell MJ. Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable. Stat Methods Med Res. 2016;25:1057–73.
Byrne JL, Wild CT, Maximova K, Browne NE, Holt NL, Cave AJ, et al. A brief eHealth tool delivered in primary care to help parents prevent childhood obesity: a randomized controlled trial. Pediatr Obes. 2018;13:659–67.
Duggins M, Cherven P, Carrithers J, Messamore J, Harvey A. Impact of family YMCA membership on childhood obesity: a randomized controlled effectiveness trial. J Am Board Fam Med. 2010;23:323–33.
Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract. 2004;10:307–12.
Elo S, Kyngäs H. The qualitative content analysis process. J Adv Nurs. 2008;62:107–15.
Centers for Disease Control and Prevention. Framework for program evaluation in public health. MMWR Morb Mortal Wkly Rep. 1999;48:1–58.
Harrison MB, Graham ID. Roadmap for a participatory research-practice partnership to implement evidence. World Evid Based Nurs. 2012;9:210–20.
Bowen SJ, Graham ID. From knowledge translation to engaged scholarship: promoting research relevance and utilization. Arch Phys Med Rehabil. 2013;94:3–8.
Bucknall T. Bridging the know-do gap in health care through integrated knowledge translation. World Evid Based Nurs. 2012;9:193–4.
Bertakis KD, Azari R. Patient-centered care is associated with decreased health care utilization. J Am Board Fam Med. 2011;24:229–39.
Kumar S, Kelly AS. Review of childhood obesity: from epidemiology, etiology, and comorbidities to clinical assessment and treatment. Mayo Clin Proc. 2017;92:251–65.
Rhodes ET, Boles RE, Chin K, Christison A, Testa EG, Guion K, et al. Expectations for treatment in pediatric weight management and relationship to attrition. Child Obes. 2017;13:120–7.
Ball GD, Kebbe M. Preventing and managing paediatric obesity: a special edition on randomized controlled trials. Pediatr Obes. 2018;13:635–8.
The authors wish to thank the administrative/clinical staff at the NECHC, including Tammy Lidster-Palmer, Heather Hruza, MK was funded by the Canadian Institute of Health Research (Frederick Banting and Charles Best Canada Graduate Scholarships-Doctoral) and Killam Trusts (Honorary Izaak Walton Killam Memorial Scholarship). SDS was supported by a Canada Research Chair (Tier 2) in Knowledge Translation in Children’s Health. GDCB was supported by an Alberta Health Services Chair in Obesity Research.
Roles and responsibilities
Individuals overseeing the trial include the study coordinator (MK) and principal investigator (GDCB) from the University of Alberta as well as nine physicians (SL, HR, TL, BI, LJ, FN, KT, JLW, MZ) and four administrative/clinical staff from the NECHC. The study coordinator is responsible for managing, monitoring, and evaluating the clinical trial, including capturing data on feasibility and performance measures, soliciting recruitment, administering data collection assessments, and partnering with the NECHC staff to ensure pragmatic delivery and fidelity of the trial. The administrative/clinical staff provide input on day-to-day operations and inform the study coordinator of eligible patients, while physicians guide adolescents through the goal-setting during the clinical appointment and debrief with the study coordinator afterwards. The final trial data set will only be made available to the research team for performing data analysis.
This trial is supported by an operating grant from the Health Outcomes Improvement Fund, Maternal Newborn Child Youth Strategic Clinical Network, Alberta Health Services (RES0033207). The funders did not play a role the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Ethics approval and consent to participate
Ethical and operational approvals were granted by human research ethics boards from study sites in Edmonton, namely the University of Alberta (Pro00083903) and the Northern Alberta Clinical Trials + Research Centre (#45707).
Consent for publication
GDC Ball and M Kebbe developed Conversation Cards for Adolescents© and worked in partnership with Obesity Canada to distribute the cards through their online store of educational tools and resources. No honorarium or other form of payment was given to anyone involved in the preparation of this study. All other authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Kebbe, M., Farmer, A., Dyson, M.P. et al. Feasibility, user experiences, and preliminary effect of Conversation Cards for Adolescents© on collaborative goal-setting and behavior change: protocol for a pilot randomized controlled trial. Pilot Feasibility Stud 5, 149 (2019). https://doi.org/10.1186/s40814-019-0533-3
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