Abstract
Background
Intradialytic exercise (IDE) may improve physical function and health-related quality of life. However, incorporating IDE into standard hemodialysis care has been slow due to feasibility challenges. We conducted a multicenter qualitative feasibility study to identify potential barriers and enablers to IDE and generate potential solutions to these factors.
Methods
We conducted 43 semistructured interviews with healthcare providers and patients across 12 hospitals in Ontario, Canada. We used the Theoretical Domains Framework and directed content analysis to analyze the data.
Results
We identified eight relevant domains (knowledge, skills, beliefs about consequences, beliefs about capabilities, environmental context and resources, goals, social/professional role and identity, and social influences) represented by three overarching categories: knowledge, skills and expectations: lack of staff expertise to oversee exercise, uncertainty regarding exercise risks, benefits and patient interest, lack of knowledge regarding exercise eligibility; human, material and logistical resources: staff concerns regarding workload, perception that exercise professionals should supervise IDE, space, equipment and scheduling conflict concerns; and social dynamics of the unit: local champions and patient stories contribute to IDE sustainability. We developed a list of actionable solutions by mapping barriers and enablers to behavior change techniques. We also developed a feasibility checklist of 47 questions identifying key factors to address prior to IDE launch.
Conclusions
Evidence-based solutions to identified barriers to and enablers of IDE and a feasibility checklist may help recruit and support units, staff and patients and address key challenges to the delivery of IDE in diverse clinical and research settings.
Keywords: behavior change techniques, hemodialysis, intradialytic exercise, qualitative methods, theoretical domains framework
What is already known about this subject?
Intradialytic exercise (IDE) is associated with improved physical function, quality of life, dialysis clearance, mental health and, more recently, as a protective factor against myocardial stunning in adults on maintenance hemodialysis (HD).
Despite these documented benefits, HD units have been hesitant to integrate IDE into standard care, citing concerns over the feasibility of IDE delivery and enactment (e.g. workload, logistics and patient interest).
Guided by the theoretical domains framework, we sought to identify and consolidate a comprehensive set of potential feasibility barriers and enablers that HD units may encounter when seeking to deliver IDE.
What this study adds?
We developed a feasibility assessment tool that provides a checklist of feasibility factors that units are advised to consider before launching IDE interventions.
While previous studies have focused on providing recommendations for encouraging IDE uptake, we identified barriers and enablers according to the factors known to influence behavior change (theoretical domains) and mapped these factors to theoretically driven strategies (behavior change techniques) to develop fit-for-purpose strategies to support IDE delivery in HD units.
Using behavior change theory to develop strategies to support IDE delivery and enactment presents those interested in delivering IDE interventions with concrete solutions to overcoming long-standing barriers to IDE (e.g. workload, logistics and patient interest).
What impact this may have on practice or policy?
The developed strategies and feasibility checklist can be used together to design unit-specific supportive strategies to address known barriers and enablers across a variety of clinical and research settings.
INTRODUCTION
Studies assessing the clinical impact of intradialytic exercise (IDE) suggest that ongoing physical activity (e.g. cycling, resistance exercise) during hemodialysis (HD) can mitigate declines in physical function [1–4], lessen the severity and frequency of dialysis-related symptoms (e.g. restless legs, fatigue) [5, 6], increase quality of life [2, 7–9], improve dialysis efficacy [3, 7, 10], protect mental health [3, 8] and improve dialysis-related myocardial stunning [11, 12].
Although growing evidence supports using IDE as an adjuvant therapy for individuals on HD, kidney programs have been slow to incorporate exercise into standard care citing feasibility concerns [13–29]. Yet, sustainable exercise programs are possible and stand to generate clinically important outcomes for patients [30].
Current evidence for IDE is primarily limited to small-scale, pilot or single-site trials, with questions regarding scalability and clinical benefit remaining [1]. Larger-scale clinical trials demonstrating the generalizability of improvement in clinical outcomes and the feasibility of IDE programs in resource-diverse locations are required for widespread adoption of this simple, low-cost intervention [31–33].
We conducted a qualitative feasibility study to identify barriers to and enablers of intradialytic cycling from the perspective of healthcare providers and patients across multiple HD units. To facilitate IDE delivery in diverse units we aimed to then identify appropriate behavior change techniques [34, 35], develop actionable solutions and identify key questions that must be considered prior to implementing an IDE intervention in diverse clinical and research settings.
MATERIALS AND METHODS
We followed the Consolidated Criteria for Reporting Qualitative Studies (COREQ) guidelines [36].
Sampling strategy
Adults (≥18 years of age) with end-stage kidney disease receiving HD and healthcare providers currently working in HD units across Ontario who were able to communicate in English and provide informed consent were eligible to participate in this study. We used both purposive and snowball sampling. We asked program administrators, colleagues and interviewees throughout Ontario to share information about our study. Patients were recruited from four hospital sites and were approached by members of their circle of care. We also placed an advertisement on the Kidney Foundation of Canada website inviting HD unit staff and patients to contact the research team for information about this study. We sought participants who represented various age groups, geographical regions, unit types (e.g. hospitals, satellite sites), lengths of time in HD units and experiences with IDE.
Researcher as instrument
G.C., a research coordinator, conducted interviews, analyzed data and drafted this manuscript. G.C. drew from her background in social psychology, the Theoretical
Domains Framework (TDF) and qualitative methods to understand feasibility barriers in context. She deepened her understanding of IDE by engaging with qualitative literature, learning from patient partners and working closely with C.B., a nephrologist and IDE expert. She also received guidance from an expert in health psychology, behavior change and implementation science (J.P.).
Interview guide development
We used the TDF, a broad and versatile [37, 38] framework that synthesizes constructs from 33 behavior change theories into 12 domains, to facilitate detection of challenges that may arise when IDE interventions are delivered in practice (Table 1). Interview guides were developed based on the action, actor, context, target, time (AACTT) principle and TDF guidance [38, 39]. Questions and prompts were designed to identify barriers and enablers related to the target behavior (i.e. ‘who needs to do what when’) for different stakeholder groups by addressing all 12 TDF domains (see Supplement 1). Interview guides for patient participants were piloted with two patient partners and revised based on their feedback.
Table 1.
Domain | Description |
---|---|
Knowledge | An awareness of the existence of something (including knowledge of condition/scientific rationale) |
Skills | An ability or proficiency acquired through practice |
Social/professional role and identity | A coherent set of behaviors and displayed personal qualities of an individual in a social or work setting |
Beliefs about capabilities | Acceptance of the truth, reality or validity about an ability, talent or facility that a person can put to constructive use |
Beliefs about consequences | Acceptances of the truth, reality or validity about outcomes of a behavior in a given situation |
Motivation and goals | Mental representations of outcomes or end states that an individual wants to achieve |
Memory, attention and decision processes | The ability to retain information, focus selectively on aspects of the environment and choose between two or more alternatives |
Environmental context and resources | Any circumstance of a person’s situation or environment that discourages or encourages the development of skills and abilities, independence, social competence and adaptive behavior |
Social influences | Those interpersonal processes that can cause individuals to change their thoughts, feelings or behaviors |
Emotion | A complex reaction pattern involving experiential, behavioral and physiological elements by which the individual attempts to deal with a personally significant matter or event |
Behavioral regulation | Anything aimed at managing or changing objectively observed or measured actions |
Nature of behavior | Direct experience/past behavior including routine, automatic or habitual behavior |
Interviews
Interested participants were invited to participate in a single interview in person (e.g. in a private hospital office) or over the phone. All interviews (phone and in person) were prearranged according to participant availability. The interviewer (G.C.) had no prior relationship with participants and explained the goals of the study (i.e. to identify barriers to and enablers of supporting and engaging in intradialytic cycling). Interviews were digitally recorded with permission. G.C. took notes during and after interviews, capturing key ideas, tone and reflections. Interviews were transcribed verbatim by a professional transcriptionist. Interview quotes were shared with participants when specifically requested. Interview transcripts were not shared with participants for feedback.
Analysis
We conducted a directed content analysis guided by the TDF and facilitated by NVivo version 11 (QSR International, Chadstone, VIC, Australia) [38, 40]. G.C. read through transcripts, identified data units (between two and six lines of text), labeled data with codes and sorted codes into TDF domains. Codes were refined by comparing data units within and across codes to determine how codes were similar, different and related to each other. Codes relating to similar topics were grouped into within-domain subcategories. Code and subcategory definitions were documented in a codebook.
A second analyst (M.W.) with a background in public health independently coded nine interviews and assessed how well the codebook captured the data. The two analysts discussed competing interpretations of codes and subcategories until they arrived at agreed-upon changes to the codebook. M.W. coded an additional six interviews and independently generated analytic categories that transcended domains. The two analysts met to discuss their respective analyses.
In parallel, patient partners were provided with results tables that featured brief descriptions of domain-level subcategories along with representative quotes. Patient partners were invited to provide feedback and insights on the results tables in two meetings. G.C. integrated feedback from all sources to develop the final set of analytic categories.
Saturation
We used the 10 + 3 saturation rule to verify that no new within-domain subcategories were identified in the last three interviews for each stakeholder group (i.e. healthcare providers and patient interviews) [41].
Developing solutions to identified barriers
G.C. and M.W. used existing tools [34, 35] to independently map TDF-identified barriers (i.e. cross-domain categories) to behavior change techniques (i.e. components of an intervention that target behavior change) [34] to facilitate developing fit-for-purpose strategies for supporting IDE engagement and delivery in HD units with diverse characteristics. G.C. and M.W. discussed differences until they reached consensus regarding what behavior change techniques were most suitable.
Feasibility assessment tool
We developed an IDE feasibility assessment tool to aid in the identification of unit-specific factors that need to be identified and addressed prior to the launch of an IDE cycling intervention (Box 1). Questions were generated by considering what barriers and enablers varied across represented units.
Knowledge, skills and expertise
What training can be provided to existing unit staff?
Are the unit leadership aware of current evidence for IDE?
How will risks and benefits of IDE be communicated to staff and patients?
Do staff have the capacity to undertake skills training?
Do staff have the capacity to employ learned skills?
What kind of support can be provided at the bedside?
What guidance will be provided to aid staff in identifying patients?
Will rationales for inclusion/exclusion criteria be provided?
What experience do staff have with exercise equipment and IDE interventions?
Will staff be trained to conduct assessments and how to make adjustments to exercise plans?
What expertise do unit staff have access to?
Will the unit have access to an exercise professional?
Will an exercise professional be available to set up the intervention?
Will an exercise professional deliver the intervention?
Who will deliver the intervention beyond the trial?
Will staff support the IDE intervention if the unit has access to an exercise professional?
Human, material and logistical resources
What kind of unit (academic, community and satellite) is being considered for an IDE intervention?
Do they have a history of previous IDE programs?
How often are nephrologists present in the unit?
What is the inpatient:outpatient ratio?
What is the nursing staff:patient ratio?
What does a typical nurse assignment involve?
What staff are available to contribute to an IDE program?
Is now a good time? How saturated is the unit with other ongoing practice changes?
How much time do staff feel they have to devote to another practice change?
How do staff characterize their workload?
What is the current division of labor and how do staff feel about it?
Are there dialysis aides, personal support workers, exercise professionals, students or volunteers available?
What equipment is present in the unit?
What equipment, if any, is available (e.g. what bike models)?
What are staff and patient perceptions of existing exercise equipment? Does equipment need to be replaced or supplemented?
Will the chosen equipment interfere/conflict with dialysis setup (e.g. will the bike model preclude the use of certain bed/chair models)?
How are patients assigned to chairs/beds? How will this impact equipment set up?
How will incompatible equipment be addressed?
How will the layout of the unit impact exercise set up?
How far away are potential equipment storage areas?
How much time is needed to retrieve equipment?
Is there sufficient space for equipment to be moved around (e.g. bikes to be wheeled around in a cart)?
When is the best time to set up exercise equipment?
How are staff breaks organized?
How much time is equipment set up expected to take?
How can the time needed to set up equipment be integrated into the daily flow of unit activities?
Social dynamics of the unit
What is the likelihood of engaging champions?
Are there easily identifiable champions in the unit’s leadership team? Among frontline staff? Among patients?
Does the unit leadership have the capacity to support a new intervention?
Do nephrologists support IDE? Are they willing to endorse and champion an IDE intervention?
Will frontline staff champions be allocated time to complete champion-related tasks?
What training do champions need to complete their champion duties?
How socially engaged are champion contenders? How likeable are champion contenders?
What communication avenues are available for sharing patient stories and outcomes?
What patient stories can be shared with unit staff and other patients?
What opportunities are there for showcasing patients who exercise?
What kind of intervention progress and outcome data can be shared with staff and patients?
How can feedback mechanisms be integrated into the intervention?
Ethics
This study received ethics approval from the Ottawa Health Science Network Research Ethics Board (protocol 20180517-01T; Clinical Trials Ontario 1526). All participants provided written or verbal consent prior to participating in interviews.
RESULTS
Participants
Thirty-five healthcare providers and 27 patients expressed interest in completing an interview. Of those, six healthcare providers and six patients could not be reached, three healthcare providers and two patients declined for unknown reasons and two patients declined due to health changes. Forty-three interviews were conducted between September 2018 and February 2020, including 26 healthcare providers (8 nurses, 7 nephrologists, 6 managers, 3 exercise professionals and 2 unit aides) and 17 patients across 12 hospital hubs in Ontario, Canada (see Table 2 for participant details).
Table 2.
Characteristics | Healthcare providers (n = 26) | People on dialysis (n = 17) |
---|---|---|
Gender, n | ||
Women | 18 | 8 |
Men | 8 | 9 |
Age (years) | ||
Mean (SD) | 43.5 (10.03) | 57.7 (12.53) |
Median (range) | 45 (28–59) | 57 (32–79) |
IQR | 35–52 | 51.5–68 |
Years in/on HD | ||
Mean (SD) | 11.5 (8.59) | 7.3 (6.22) |
Median (range) | 10.5 (1.5–33) | 5 (2–24) |
IQR | 4.5–18.5 | 3.5–7 |
Type of unita | ||
Teaching hospital unit | 18 | 9 |
General hospital (>100 beds) | 4 | 2 |
General hospital (<100 beds) | 1 | 1 |
Teaching hospital satellite site | 3 | 5 |
Experience with IDE | ||
Yes | 12 | 7 |
No | 14 | 10 |
Interview length (min) | ||
Mean (SD) | 37.75 (9.65) | 47 (18.45) |
Median (range) | 34.5 (25–73) | 43 (19.5–93) |
IQR | 31–42 | 34–59 |
Place of interview | ||
Over the phone | 24 | 14 |
Hospital/office | 2 | 3 |
Units were classified based on the Ontario Ministry of Health’s classification system (http://www.health.gov.on.ca/en/common/system/services/hosp/hospcode.aspx).
Healthcare providers
More women-identified healthcare providers (n = 18) participated than did men. The median age of staff was 45 years [interquartile range (IQR) 35–52]. They reported working in HD units for a median of 10.5 years (IQR 4.5–18.5). Most staff were based in teaching hospital units (n = 18) and many had prior experience with intradialytic cycling programs (n = 12). Most interviews with staff were conducted over the phone (n = 24) and lasted a median of 34.5 min (IQR 31–42).
Patients
Eight women and nine men participated in interviews. The median age of participants was 57 years (IQR 51.5–68). Participants had been on maintenance HD for a median of 5 years (IQR 3.5–7). Many were based in teaching hospital units (n = 9) and seven had experience cycling while dialyzing. Fourteen interviews were conducted over the phone and three were conducted in person. Interviews lasted a median of 43 min (IQR 34–59). One interview was conducted in an HD unit where staff and other patients were present. Interviews with healthcare providers and patients that were conducted over the phone were similar in content, length and tone as those conducted in person. Participants who were interviewed in person were recruited from the same site but did not differ otherwise from those interviewed over the phone.
Categories and relevant domains
We identified eight TDF domains as critical to address given their relevance, strength and frequency [38] (knowledge, skills, beliefs about consequences, beliefs about capabilities, environmental context and resources, goals, social/professional role and identity, and social influences). Three analytic categories summarize cross-domain categories: knowledge, skills and expectations; human, material and logistical resources; and social dynamics of the unit. Table 3 presents the analytic categories, cross-domain categories, relevant domains and exemplary quotes. All participant names have been replaced with participant-chosen pseudonyms.
Table 3.
Subcategories | TDF domains | Quotes |
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Category 1: knowledge, skills and expectations | ||
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Beliefs about consequences |
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Category 2: human, material and logistical resources | ||
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Environmental context and resources |
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Category 3: social dynamics of the unit | ||
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Social influence |
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Category 1: knowledge, skills and expectations
Risks and benefits for staff and patients
Staff and patient interviewees believed patients would experience positive health outcomes (e.g. improved cardiovascular, mental and physical health, quality of life and dialysis clearance) and that IDE was a productive use of time, though some remained skeptical of the potential benefits. Staff and patients simultaneously expressed concerns over potential risks, fearing an increase in symptoms like fatigue and cramping, negative impacts on cardiovascular health and the risk of equipment interfering with timely crisis intervention.
Insufficient skill to create and oversee exercise plans
Interview participants were concerned about exercise-related injuries, given that staff lacked the expertise to develop and oversee individualized exercise plans. Staff were uncertain regarding contraindications to exercise participation. Staff suggested they would benefit from in-servicing and expert oversight to safely adjust care plans.
Assumptions about patient eligibility
Staff expressed uncertainty regarding eligibility criteria and expressed beliefs that patients who were hemodynamically unstable, older, frail and experienced limited mobility would not be appropriate candidates for IDE. Some suggested they would be inclined to approach healthier patients first. A few patient participants echoed similar beliefs. One nephrologist believed staff assumptions regarding patient eligibility may unnecessarily limit who benefits from an IDE intervention.
Assumptions about patient interest
Staff and patients expressed skepticism regarding the feasibility of IDE given their perceptions of low patient interest. Staff and patients believed that eligible patients would rather use their dialysis time to rest and only a few patients (e.g. 20–30%) would be interested in cycling.
Identifying and approaching potential candidates
In units where cycling was available, identifying candidates was often left to the discretion of individual unit staff. Some staff reported approaching patients who demonstrated mobility, stamina and motivation. Others relied on patients to self-refer. However, several patient participants who expressed interest in intradialytic cycling during their interview reported they had not asked about using bikes available in their unit because they preferred to be approached by staff. Some were concerned that asking staff may be bothersome (‘It might be a pain in the ass to set up, you know what I mean?’ – Robert), while others were unsure whether cycling was appropriate for them. One patient participant suggested being asked by staff to cycle may motivate engagement.
Category 2: human, material and logistical resources
Concerns about workload
Staff believed introducing an IDE intervention would significantly increase workload, though a few believed the workload would lessen in the long term as patients improved their functional status (e.g. fewer patients needing staff-assisted transfers). Staff indicated the unpredictability of HD sessions made it challenging to prioritize bike set up, even when IDE was viewed favorably. Nursing staff resented delegation of tasks perceived as extraneous to their scope of practice without consideration for how that might impact their work experience. Many suggested delivering IDE cycling programs would be difficult given their time constraints and used the refrain ‘one more thing’ to emphasize strained resources. A few based their workload expectations on past experiences where cyclists were described as ‘a pain in the butt’ when exercise-related movements set off alarms during treatment, while another staff member from the same unit believed delivering IDE was manageable despite time constraints. Others believed there was sufficient time for bike set up in their units.
Need for exercise professionals
In units that previously had exercise programs run by physiotherapists, staff participants believed IDE was part of an exercise specialist’s role and not their’s. Others believed that exercise specialists were the most qualified healthcare providers and preferred they oversee an IDE program, including bike set up. A few patient participants indicated they would appreciate the oversight and monitoring of an exercise professional, though others believed this was not necessary. One staff participant shared that an exercise professional in their unit was met with staff resistance while other staff expressed interest in offering exercise opportunities without the guidance of an exercise specialist.
Space and equipment
Staff believed exercise bikes would increase clutter in the unit and interfere with unit processes. They suggested grouping cyclists in low-traffic areas to minimize moving equipment and thereby reduce collisions. Participants also discussed the need for exercise bikes to be light, mobile, easy to set up, easy to maintain and clean, easy to adjust to patient stature and compatible with existing HD chairs and beds. For several participants, access to the right type of equipment was the most significant barrier faced in their unit. One staff participant suggested learning basic bike repairs would be necessary for long-term sustainability. Some staff suggested improving patient scheduling to ensure they were dialyzing in chairs suitable for cycling. A few patients indicated that exercise bikes that were quiet would be important to ensure harmony in the unit.
Category 3: social dynamics of the unit
Champions
Participants identified administrative, frontline and patient champions as critical enablers for the delivery and sustainability of IDE. Staff and patient champions were thought to generate change through their knowledge, passion, dedication and positive relationships with others in the unit.
Staff agreed that nephrologists’ endorsements would persuade nursing staff that an IDE intervention would be worth the effort. Patient participants indicated they would be more likely to engage in IDE if their nephrologist recommended it.
Nurse champions were seen as critical for teaching, modeling practice changes and offering support to their peers. Staff and patients believed nurse champions were well suited to promoting exercise given their involvement in the routine care of patients. However, nursing staff believed it would be difficult to find volunteers for the champion role. One nurse suggested that having dedicated time, or a financial incentive, to take on a champion role would help generate interest.
Patient champions were seen as helpful for encouraging other patients to cycle. Patient participants shared that they would feel encouraged to engage in IDE if they could see the process modeled by others first. However, many noted that not all cyclists would appreciate a peer mentor and may instead prefer guidance from healthcare staff. Patient participants also varied in their interest in adopting a champion role depending on how socially engaged they were in the unit.
Patient stories
Staff and patients viewed patient stories as a powerful enabler. Staff participants valued improving patient experiences, outcomes and quality of life and expressed a desire to see patients ‘do well’. Frontline staff indicated that they would be more motivated to set up bikes if they knew it would result in health improvements for patients and if they knew IDE was important to patients (‘if it becomes important to the patient, then it becomes important to me’ – Lou, nurse). Patient participants were also influenced by patient stories and experiences. Many described becoming interested in IDE after seeing or hearing about other patients using exercise equipment during dialysis.
Actionable solutions to identified barriers
The barriers and enablers identified in this study were mapped to behavior change techniques and operationalized based on details provided in participant interviews (see Table 4 and Supplement 2). For example, participant concerns regarding risks and benefits and how to oversee exercise plans were rooted in a lack of knowledge and skills and associated expectations. Using behavior change techniques that provide opportunities for learning and skill development (e.g. instruction on how to perform the behavior, demonstration of the behavior, information about health consequences) and that encourage critical evaluations of risks and rewards (e.g. information about health consequences, comparative imaging of future outcomes, pros and cons) may address staff and patient apprehension, thereby encouraging staff engagement in IDE delivery and patient enactment of IDE.
Table 4.
Barriers/enablers | TDF domains | Suggested behavior change techniques | Suggested operationalization/activities |
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Knowledge, skills and expectations | |||
Uncertainty about risks and benefits | Knowledge/beliefs about consequences |
Information about health consequences Provide information (e.g. written, verbal or visual) about health consequences of performing the behavior |
Providing staff and patients with accessible (e.g. written and visual) information about known risks and benefits of engaging in IDE |
Beliefs about consequences |
Comparative imagining of future outcomes (of changed versus unchanged behavior) Prompt or advise the imagining and comparing of future outcomes of changed versus unchanged behavior |
Providing staff and patients with comparative data demonstrating expected health outcomes associated with engaging and not engaging in IDE and how these might apply to themselves |
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Pros and cons Advise the person to identify and compare reasons for wanting (pros) and not wanting to (cons) change the behavior |
Facilitate discussions with health care providers, patients and exercise specialists to highlight the benefits/gains of engaging in IDE versus not engaging in IDE |
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Lack of knowledge and skill to develop and oversee exercise plans | Knowledge |
Instruction on how to perform the behavior Advise or agree on how to perform the behavior (includes ‘skill training’) |
Providing staff training that explains expected progress trajectories (addressing knowledge) and provide specific steps on how to develop, execute and modify individualized exercise plans with examples |
Skills |
Demonstration of the behavior Provide an observable sample of the performance of the behavior, directly in person or indirectly (e.g. via film, pictures) for the person to aspire to or imitate |
Provide staff with examples (e.g. a short video) of how to develop and execute a basic exercise plan, including how to make adjustments to meet patient needs and abilities and ensure patient safety |
|
Assumptions about patient eligibility | Knowledge |
Information about health consequences Provide information (e.g. written, verbal or visual) about health consequences of performing the behavior |
Provide guidelines/information about patient attributes that would and would not allow for engagement in IDE, with an emphasis on addressing eligibility misconceptions (e.g. frailty not a contraindication) |
Beliefs about consequences |
Credible source Present verbal or visual information from a credible source in favor or against the behavior |
Invite IDE experts to discuss the merits of adopting inclusive eligibility criteria |
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Salience of consequences Use methods specifically designed to emphasize the consequences of performing the behavior with the aim of making them more memorable (goes beyond informing about consequences) |
Present memorable cases of patients who benefited from IDE that might not otherwise be believed to be eligible |
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Assumptions about patient interest | Beliefs about consequences |
Information about others’ approval Provide information about what other people think about the behavior. The information clarifies whether others will like, approve or disapprove of what the person is doing or will do |
Provide unit with research evidence and local indications of patient interest in an IDE program |
Identifying potential candidates | Social and professional role |
Restructuring the social environment Change or advise to change the social environment in order to facilitate performance of the wanted behavior |
Encouraging patients to take on a more active role by requesting bike use when appropriate Senior staff may also delegate the responsibility of identifying potential candidates to specific staff to ensure consistency |
Human, material and logistical resources | |||
Concerns about workload | Goals |
Action planning Prompt detailed planning of performance of the behavior (must include at least one of context, frequency, duration and intensity) |
Work with local nursing staff to develop a when, where and how plan for how bike set up can be prioritized alongside competing demands (e.g. set up bikes 10 min before I go on break) |
Beliefs about consequences |
Information about social and environmental consequences Provide information (e.g. written, verbal and visual) about social and environmental consequences of performing the behavior |
Provide information about the consequences of implementing an IDE program in the HD unit (i.e. in terms of work flow, time needed to set up bikes and impact on environment) |
|
Environmental context and resources |
Social support (practical) Advise on, arrange, or provide practical help (e.g. from friends, relatives, colleagues, buddies or staff) for performance of the behavior |
Hire/schedule additional HD staff to deliver the IDE program. This may include nursing staff, personal support workers, unit aides, students and volunteers |
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Beliefs about capabilities |
Behavioral practice/rehearsal Prompt practice or rehearsal of the performance of the behavior one or more times in a context or at a time when the performance may not be necessary in order to increase habit and skill |
Provide HD unit staff the opportunity to practice setting up bikes ahead of the intervention |
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Problem solving Analyze, or prompt the person to analyze, factors influencing the behavior and generate or select strategies that include overcoming barriers and/or increasing facilitators |
Encourage HD unit staff to anticipate and identify situational barriers that might interfere with setting up the bikes and develop backup plans to ensure they can set them up as intended |
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Need for exercise professionals | Social and professional role/environmental context and resources |
Restructuring of the social environment Change or advise to change the social environment in order to facilitate performance of the wanted or unwanted behavior |
Reconceptualizing the role typically filled by exercise professionals as one that can be shared among multiple unit staff (e.g. physicians, managers and bedside nurses) Determining what skills and training are feasible for unit staff to adopt and what aspects of IDE can only be fulfilled by an exercise specialist will be critical to planning for adequate resources |
Environmental context and resources |
Social support (practical) Advise on, arrange, or provide practical help (e.g. from friends, relatives, colleagues, buddies or staff) for performance of the behavior |
Hire an exercise professional or provide staff access to expert advice (e.g. consultations with exercise professionals) to increase HD unit capacity to deliver an IDE program |
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Logistics of space, time and equipment | Environmental context and resources |
Restructuring of the physical environment Change or advise to change the physical environment in order to facilitate performance of the wanted or unwanted behavior |
Arrange the HD unit to facilitate the efficient delivery of an IDE program (e.g. by creating space to store equipment, by grouping patients who engage in IDE, etc.) Working with local staff to identify and modify unit spaces and processes to address logistical concerns (e.g. grouping cyclists in low traffic areas) |
Adding objects to the environment Add objects to the environment in order to facilitate performance of the behavior |
Provide HD units with the appropriate equipment to deliver an IDE program (e.g. bikes that fit dialysis chairs, bike mats, wedges, etc.) |
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Social dynamics of the unit | |||
Champions | Social influence |
Information about others’ approval Provide information about what other people think about the behavior. The information clarifies whether others will like, approve or disapprove of what the person is doing or will do |
Communicating to staff and patients who support IDE (e.g. nephrologists, nurses, administration and patients) and why it may influence others to consider supporting/engaging in IDE |
Social support (unspecified) Advise on, arrange or provide social support (e.g. from friends, relatives, colleagues, buddies or staff) or noncontingent praise or reward for performance of the behavior. It includes encouragement and counseling, but only when it is directed at the behavior |
Engage staff and patients in creating an environment where staff and patients are encouraged and praised by champions (and others) for participating in an IDE program |
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Patient stories | Social influence |
Vicarious consequences Prompt observations (including rewards and punishments) of the consequences for others when they perform the behavior |
Communicating the health benefits experienced by cyclists in the unit to other patients may help demonstrate the value of engaging in IDE Highlight the positive experiences of patients who have engaged in IDE |
Social comparison Draw attention to others’ performance to allow comparison with person’s own performance |
Emphasize real-life examples of patients who are eligible, interested and engaged in IDE to encourage patients to reflect on their own willingness and ability to engage in IDE Tracking cyclists’ progress in engaging ways (e.g. map representing distance cycled) may encourage others to maintain cycling practice |
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Information about others’ approval Provide information about what other people think about the behavior. The information clarifies whether others will like, approve or disapprove of what the person is doing or will do |
Provide healthcare staff with evidence (e.g. patient stories) of patient approval regarding IDE processes and engagement |
Feasibility assessment tool
The identified behavior change techniques may help to facilitate IDE delivery across diverse settings. However, identifying which solutions are most appropriate for a given unit will depend on specific local barriers and enablers. For example, staff perceptions of workload varied across and within units, suggesting a need to assess how staff view their current workload (e.g. ‘How do staff characterize their workload?’) prior to intervention launch. Box 1 presents key questions regarding each of the identified factors that researchers, clinicians and unit managers can use to evaluate unit readiness and to identify which solutions are most appropriate for addressing anticipated barriers before moving forward with program delivery in both research and clinical settings.
DISCUSSION
Many have suggested that integrating IDE into standard care requires a change in dialysis culture toward wellness rather than medical treatment [30, 33]. Although definitions vary, ‘culture’ can be understood to encompass shared values, behaviors, goals and assumptions [42, 43]. The proposed behavior change techniques and operationalized solutions target values, behaviors, goals and assumptions. Thus this work builds upon past research by suggesting a means by which to operationalize culture change and increase the feasibility of IDE. Our tools, grounded in behavior change theories, provide actionable solutions to identified barriers and are designed to facilitate the delivery of IDE programs in clinical practice and multisite clinical trials.
Past research reporting on barriers to IDE has found similar barriers and enablers as those identified in this study. Staff workload has been a recurring barrier to IDE without clear solutions [14, 15, 18, 20–23, 29]. Our study confirms that workload and time constraints are challenging factors. However, the differences in workload perceptions among staff in this study nuance our understanding of these barriers by highlighting how ‘anticipated’ workload (based on assumptions or negative past experiences) differs within and across units, suggesting staff attitudes may be shaped, in part, by expectations. Recent research supports this association, as one study found that nursing staff who had not witnessed patients exercising were more likely to identify barriers while those who had seen patients exercising expressed more positive views [44]. Another study found that staff expressed more positive views after watching an IDE film and gaining a better understanding of how intradialytic cycling operates [45]. Staff expectations therefore represent a potential avenue for change in addition to seeking organizational support to bolster human resources.
Patient eligibility and interest have also been previously identified as barriers [4, 14, 20, 22, 29, 46]. Yet, almost anyone can exercise so long as they begin with low intensities and gradually progress [46]. Likewise, evidence herein and in the literature [17, 24, 25, 46] suggests patient interest may not be as significant a barrier as staff perceptions suggest [20, 31]. It is possible that patients refrain from expressing interest if they are uncertain about their eligibility and may instead rely on staff to provide clarity. Behavior change techniques that target staff and patient perceptions of who is fit to exercise may therefore simultaneously address two long-standing barriers identified in the literature and in this study.
Our study focused on the accounts of healthcare providers and HD patients. Funders and policymakers are also an important stakeholder group to engage in future research given the human and resource constraints that are often cited as barriers. Other limitations of this study include overrepresentation of patients and staff from larger urban and academic hospitals, potentially limiting the transferability of our findings to smaller dialysis units located in rural settings. Additionally, while ˂10% of HD units in Ontario offered exercise programs or cardiac rehabilitation programs in 2012 [47], 44% (n = 19) of participants had some experience with IDE programs. This likely represents a self-selection bias in that healthcare providers and patients with prior IDE experience may have had a greater interest in this project. This may also account for the generally positive views that patient participants expressed in relation to IDE. Further research is needed to explicitly explore the views of patients who are not interested in IDE irrespective of past experience. Finally, our feasibility checklist and solutions were developed based on interviews conducted in one province and require further testing and validation in geographically and resource-diverse HD units.
The strengths of this study lie in the diversity of participant experiences with IDE (ranging from none to active current involvement in IDE) and the breadth of topics covered during interviews. To our knowledge, few studies have comprehensively assessed barriers and enablers across multiple HD sites, representing input from diverse stakeholder groups with shorter- and longer-term experience with exercise programs. In addition to identifying and confirming several factors that are key to address when considering IDE program delivery, we utilized a theoretical framework that allowed us to develop actionable solutions grounded in behavior change theory. Our feasibility assessment tool further facilitates identifying and addressing local barriers and improving the uptake of IDE in diverse settings.
Future research is needed to test the theoretical linkages between TDF-identified barriers and enablers, the mapped behavior change techniques and proposed operationalized solutions. Our delivery feasibility tool would likewise benefit from further testing and validation by comparing guiding questions to synthesized literature, conducting Delphi surveys with experts and assessing criterion validity by using our tool in conjunction with others (e.g. Nurses’ Attitudes Toward Exercise in Dialysis tool [44]).
In conclusion, we identified potential evidence-based solutions to address barriers and optimize enablers that will facilitate IDE delivery in diverse units. We also developed a delivery feasibility tool for identifying and assessing which barriers may be relevant to address when designing multisite trials and considering clinical program delivery of intradialytic cycling.
SUPPLEMENTARY DATA
Supplementary data are available at ndt online.
Supplementary Material
ACKNOWLEDGEMENTS
We would like to thank Dr Deborah Zimmerman, Jarrin Penny, Justin Dorie and Yolanda Berghegen for their assistance in recruiting participants and Ahmed Al Jaishi, Jordan Ward and Krista Rossum for their coordination support. We also thank the patients and healthcare providers who generously shared their time and experiences as participants in this study.
FUNDING
This work was supported by a Strategy for Patient-Oriented Research Innovative Clinical Trial Multi-Year Grant, An Integrated Platform for Innovative Pragmatic Cluster-Randomized Registry Trials in Hemodialysis from the Canadian Institutes of Health Research (Grant MyG-151209). C.B. was supported by the Manitoba Medical Services Foundation Dr F.W. Du Val Clinical Research Professorship Award. A.X.G. was supported by the Dr Adam Linton Chair in Kidney Health Analytics and a Clinician Investigator Award from the Canadian Institutes of Health Research. Neither the funders nor the institutions associated with each author had any role in study design; collection, analysis or interpretation of data, report writing or the decision to submit the manuscript for publication.
AUTHORS’ CONTRIBUTIONS
J.P., C.B., A.G. and G.C. were responsible for the research idea and study design. G.C., C.M., A.O.M., B.H. and M.T. were responsible for data collection. G.C., M.W., C.C., B.F., C.B. and J.P. were responsible for data analysis/interpretation. J.P. and C.B. were responsible for supervision and mentorship. G.C., C.B., J.P., S.T. and J.M. were responsible for manuscript drafting. All authors contributed substantive comments to earlier drafts and approved the submitted version.
CONFLICT OF INTEREST STATEMENT
C.B. received research funding from Hope Pharmaceuticals and holds ownership interest in Precision Advanced Digital Manufacturing, outside the work reported in this article. The authors report no other conflicts of interest. The results presented in this article have not been published previously in whole or part, except in abstract format.
DATA AVAILABILITY STATEMENT
The datasets generated and analyzed during this study will not be made publicly available in order to protect the privacy and confidentiality of study participants. However, de-identified, aggregated data have been made available in the article (see Table 3).
Item | Guide questions/descriptions | Reported on page # |
---|---|---|
Domain 1. Research team and reflexivity | ||
Personal characteristics | ||
Interviewer/facilitator | Which author/s conducted the interview or focus group? | p. 6 |
Credentials | What were the researcher’s credentials? (e.g. PhD, MD) | p. 6, title page |
Occupation | What was their occupation at the time of the study? | p. 6 |
Gender | Was the researcher male or female? | p. 6 |
Experience and training | What experience or training did the researcher have? | p. 6 |
Relationship with participants | ||
Relationship established | Was a relationship established prior to study commencement? | p. 7 |
Participant knowledge of the interviewer | What did the participants know about the researcher? (e.g. personal goals, reasons for doing the research) | p. 7, Supplement 1 |
Interviewer characteristics | What characteristics were reported about the interviewer/facilitator? (e.g. bias, assumptions, reasons and interests in the research topic) | N/A, not reported. However, interviewer biases and assumptions were documented in a reflexivity journal. |
Domain 2: Study design | ||
Theoretical framework | ||
Methodological orientation and theory | What methodological orientation was stated to underpin the study? (e.g. grounded theory, discourse analysis, ethnography, phenomenology and content analysis) | p. 6–7 |
Participant selection | ||
Sampling | How were participants selected? (e.g. purposive, convenience, consecutive and snowball) | p. 6 |
Method of approach | How were participants approached? (e.g. face-to-face, telephone, mail and e-mail) | p. 6 |
Sample size | How many participants were in the study? | p. 9 |
Nonparticipation |
|
p. 9 |
Setting | ||
Setting of data collection | Where was the data collected? (e.g. home, clinic and workplace) | p. 7, 9–10, Table 2 |
Presence of nonparticipants | Was anyone else present besides the participants and researchers? | p. 10 |
Description of sample | What are the important characteristics of the sample? (e.g. demographic data and date) | p. 9–10, Table 2 |
Data collection | ||
Interview guide |
|
p. 7, Supplement 1 |
Repeat interviews | Were repeat interviews carried out? If yes, how many? | p. 7 |
Audio/visual recording | Did the research use audio or visual recording to collect the data? | p. 7 |
Field notes | Were field notes made during and/or after the interview or focus group? | p. 7 |
Duration | What was the duration of the interviews or focus group? | p. 9–10 |
Data saturation | Was data saturation discussed? | p. 8 |
Transcripts returned | Were transcripts returned to participants for comment and/or correction? | p. 7 |
Domain 3: Analysis and findings | ||
Data analysis | ||
Number of data coders | How many data coders coded the data? | p. 8 |
Description of the coding tree | Did authors provide a description of the coding tree? | p. 7–8, 10, Table 3 |
Derivation of themes | Were themes identified in advance or derived from the data? | p. 7–8 |
Software | What software, if applicable, was used to manage the data? | p. 7 |
Participant checking | Did participants provide feedback on the findings? | p. 7–8 |
Reporting | ||
Quotations presented | Were participant quotations presented to illustrate the themes/findings? Was each quotation identified? (e.g. participant number) | Table 3 |
Data and findings consistent | Was there consistency between the data presented and the findings? | p. 10–14, Table 3 |
Clarity of major themes | Were major themes clearly presented in the findings? | p. 10–14 |
Clarity of minor themes | Is there a description of diverse cases or discussion of minor themes? | p. 10–14, Table 3 |
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and analyzed during this study will not be made publicly available in order to protect the privacy and confidentiality of study participants. However, de-identified, aggregated data have been made available in the article (see Table 3).
Item | Guide questions/descriptions | Reported on page # |
---|---|---|
Domain 1. Research team and reflexivity | ||
Personal characteristics | ||
Interviewer/facilitator | Which author/s conducted the interview or focus group? | p. 6 |
Credentials | What were the researcher’s credentials? (e.g. PhD, MD) | p. 6, title page |
Occupation | What was their occupation at the time of the study? | p. 6 |
Gender | Was the researcher male or female? | p. 6 |
Experience and training | What experience or training did the researcher have? | p. 6 |
Relationship with participants | ||
Relationship established | Was a relationship established prior to study commencement? | p. 7 |
Participant knowledge of the interviewer | What did the participants know about the researcher? (e.g. personal goals, reasons for doing the research) | p. 7, Supplement 1 |
Interviewer characteristics | What characteristics were reported about the interviewer/facilitator? (e.g. bias, assumptions, reasons and interests in the research topic) | N/A, not reported. However, interviewer biases and assumptions were documented in a reflexivity journal. |
Domain 2: Study design | ||
Theoretical framework | ||
Methodological orientation and theory | What methodological orientation was stated to underpin the study? (e.g. grounded theory, discourse analysis, ethnography, phenomenology and content analysis) | p. 6–7 |
Participant selection | ||
Sampling | How were participants selected? (e.g. purposive, convenience, consecutive and snowball) | p. 6 |
Method of approach | How were participants approached? (e.g. face-to-face, telephone, mail and e-mail) | p. 6 |
Sample size | How many participants were in the study? | p. 9 |
Nonparticipation |
|
p. 9 |
Setting | ||
Setting of data collection | Where was the data collected? (e.g. home, clinic and workplace) | p. 7, 9–10, Table 2 |
Presence of nonparticipants | Was anyone else present besides the participants and researchers? | p. 10 |
Description of sample | What are the important characteristics of the sample? (e.g. demographic data and date) | p. 9–10, Table 2 |
Data collection | ||
Interview guide |
|
p. 7, Supplement 1 |
Repeat interviews | Were repeat interviews carried out? If yes, how many? | p. 7 |
Audio/visual recording | Did the research use audio or visual recording to collect the data? | p. 7 |
Field notes | Were field notes made during and/or after the interview or focus group? | p. 7 |
Duration | What was the duration of the interviews or focus group? | p. 9–10 |
Data saturation | Was data saturation discussed? | p. 8 |
Transcripts returned | Were transcripts returned to participants for comment and/or correction? | p. 7 |
Domain 3: Analysis and findings | ||
Data analysis | ||
Number of data coders | How many data coders coded the data? | p. 8 |
Description of the coding tree | Did authors provide a description of the coding tree? | p. 7–8, 10, Table 3 |
Derivation of themes | Were themes identified in advance or derived from the data? | p. 7–8 |
Software | What software, if applicable, was used to manage the data? | p. 7 |
Participant checking | Did participants provide feedback on the findings? | p. 7–8 |
Reporting | ||
Quotations presented | Were participant quotations presented to illustrate the themes/findings? Was each quotation identified? (e.g. participant number) | Table 3 |
Data and findings consistent | Was there consistency between the data presented and the findings? | p. 10–14, Table 3 |
Clarity of major themes | Were major themes clearly presented in the findings? | p. 10–14 |
Clarity of minor themes | Is there a description of diverse cases or discussion of minor themes? | p. 10–14, Table 3 |