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. 2021 May 8;29(11):6701–6711. doi: 10.1007/s00520-021-06261-2

Bridging the gap: a pre-post feasibility study of embedding exercise therapy into a co-located cancer unit

Amy M Dennett 1,, Bernadette Zappa 2, Rachel Wong 3, Stephen B Ting 4, Kimberley Williams 5, Casey L Peiris 6
PMCID: PMC8105143  PMID: 33963458

Abstract

Purpose

To establish the feasibility of embedding a flexible, exercise-based rehabilitation program into a cancer treatment unit to allow cancer survivors early exercise support.

Method

A pre-post study was conducted using Bowen’s Framework to describe key domains of feasibility: demand (referrals), acceptability (uptake, attendance, satisfaction), implementation (resources), practicality (adverse events, costs) and limited-efficacy (function, quality of life, self-efficacy). Participants were medically stable, adult cancer survivors receiving curative or palliative treatment for cancer at the health service. Participants completed an 8-week home or hospital-based exercise program. Data were analysed descriptively. Standardised mean differences (Hedge’s g) and mean differences were calculated to determine effect size and clinical significance.

Results

The exercise-based rehabilitation service received 155 referrals over 6 months. Of those eligible, 73/119 (61%) commenced. Participants opting for twice-weekly, hospital-based exercise attended 9/16 (56%) sessions. Participants reported high satisfaction and there were no major adverse events. The program utilised existing resources, with the predominant cost being staff. The average health service cost per participant was AUD $1,104. Participants made clinically significant gains in function (6-min walk distance; + 73 m, 95% confidence interval 49 to 96) and quality of life (EORTC QLQ-C30 Global quality of life; + 8 units, 95% confidence interval 3 to 13).

Conclusion

Implementation of exercise-based rehabilitation in a co-located cancer unit was safe and feasible. Access, patient and staff education and establishing funding streams are important implementation considerations.

Implications for cancer survivors

Access to exercise in a cancer unit provides opportunity for early intervention to optimise function during treatment.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00520-021-06261-2.

Keywords: Rehabilitation, Exercise, Referrals, Survivorship

Introduction

Exercise-based rehabilitation is recommended as best practice across the cancer continuum [13]. Exercise improves well-being of cancer survivors, with high-level evidence demonstrating exercise reduces symptoms such as fatigue, improves physical function, mood and quality of life [2, 4]. Engaging in exercise after a cancer diagnosis is associated with reduced cancer-specific and all-cause mortality, and disease recurrence [5, 6]. Preliminary evidence suggests a possible mechanism is patients having an increased ability to tolerate systemic therapies such as chemotherapy [7]. Exercise has demonstrated efficacy across all stages of the cancer continuum including before, during and after cancer treatment [2, 8]. Therefore, recommendations suggest cancer survivors commence exercise as early as their respective conditions allow.

Despite compelling evidence for people with cancer to exercise, cancer survivors struggle to achieve exercise recommendations. Approximately 10% of people meet aerobic [9] and 13% meet resistance training recommendations [10]. Several barriers contribute to this evidence-practice gap. At a health service level, access to exercise-based rehabilitation which could support people with cancer to exercise is poor and is not part of standard care [11, 12]. This is compounded by difficult referral pathways, lack of funding and often limited clinician awareness and knowledge about the benefits of exercise and how to find suitable services [11, 13, 14]. Patient-related barriers include side effects, competing medical demands, sedentary lifestyles and practical issues like location, cost and parking [1416]. Exercise-based rehabilitation is often not considered until after treatment is completed, when people are deconditioned [17]. Intervening with exercise-based rehabilitation within a cancer treatment unit represents an opportunity for early support, including behaviour change strategies during treatment to prevent deterioration in health status.

Efforts are required to close the evidence-practice gap and facilitate routine integration of exercise early into cancer care. A critical first step is to establish feasibility of embedding exercise therapy within pragmatic health service settings, using implementation science methodology [18]. Feasibility of exercise programs for cancer survivors has been established in controlled trial settings. However, the definition of feasibility is usually limited to safety or adherence and is commonly focussed on specific populations [1923]. It is important to consider feasibility more broadly to understand how evidence-based interventions can be replicated in ‘real life’ settings such as hospital-based cancer treatment units to improve early access to exercise therapy.

Co-location of exercise therapy and cancer services is one strategy that has been proposed to improve access. Co-location of exercise services within cancer treatment units may offer a more flexible, convenient rehabilitation model to facilitate exercise therapy early in the treatment continuum when patients are often overwhelmed and unwell [15]. Two recent studies of co-located exercise programs evaluated several years after implementation have been documented [24, 25]. One was located in a private radiotherapy clinic [25], the other a public hospital cancer treatment centre using a home-based exercise model [24]. In these retrospective studies, positive patient outcomes were reported; however, participants presented largely with early-stage cancer and had adequate baseline levels of physical activity indicating possible selection bias [24, 25]. Feasibility of setting up a new supervised, exercise-based cancer rehabilitation program pragmatically in a public cancer treatment unit remains largely unknown. Therefore, the aim of this study is to determine the feasibility of implementing a flexible, exercise-based cancer rehabilitation program in a hospital-based cancer unit.

Method

Study design

A prospective, pre-post study was completed following Bowen’s Framework [26] to assess the feasibility of implementing an exercise-based rehabilitation program in a hospital-based cancer treatment unit. Bowen’s Framework describes eight general areas of focus addressed by feasibility studies. This study focussed on five key domains: demand, acceptability, implementation, practicality and limited-efficacy testing [22]. The study was reported according to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement [27] and Template for Intervention Description and Replication (TIDieR) [28] checklist. Ethical approval was obtained from the hospital Human Research and Ethics Committee before participant recruitment commenced (LR19-032).

Setting

The study was set in a large, publicly funded tertiary hospital in metropolitan Melbourne, Australia. The cancer unit embedded in the hospital services approximately 3000 patients annually. It comprises an inpatient oncology ward and outpatient day oncology centre providing chemotherapy. A new exercise-based cancer rehabilitation program was developed to run within the unit and commenced in October 2019.

Participants

Patients were referred to exercise-based rehabilitation in the cancer unit between October 2019 and March 2020. To be eligible for the rehabilitation program, participants were to be adult cancer survivors currently receiving or preparing for cancer treatment (curative or palliative intent) admitted as an inpatient or outpatient, who had medical approval to exercise from their specialist or general practitioner. Participants with a cognitive impairment or receiving end of life care were excluded. All participants provided written informed consent prior to participation.

Intervention

The exercise-based cancer rehabilitation program was an 8-week supervised, rolling, exercise-based rehabilitation program, with a maximum of 8 participants per group. Participants completed a 1-h comprehensive assessment with a physiotherapist and were invited to attend an individually tailored, supervised group-based circuit exercise class once or twice weekly or be provided with a tailored home exercise program for 8 weeks. Participants opting for home-based training received an initial face-to-face assessment only and an 8-week follow-up in-person or via telephone. Exercise was prescribed in accordance with guidelines [1, 2] (Table 1).

Table 1.

Intervention description using the template for description and replication checklist (TIDier)

Intervention
Brief name Cancer rehabilitation
Why Exercise during cancer treatment may mitigate side effects and improve treatment efficacy
What: materials

• Participants were offered access the hospital gymnasium:

- Free weights

- Resistance exercise bands

- Pin-loaded machines (lateral pull down, leg press, chest press)

- Aerobic exercise equipment (exercise bike × 2, treadmill × 1, stairs)

- Balance equipment

• Participants received a written, individualised home exercise program

• Participants were offered a referral to a community exercise program

What procedures
Provider • Two physiotherapists with oncology experience (5.5 years combined) provided by the hospital
How • Face to face sessions (centre-based) or unsupervised sessions (home-based)
Where • Hospital gymnasium or home

When/how much

Type

Aerobic: continuous training prescribed based on 6-min walk test results. Included treadmill, walking, stationary cycle, arm ergometer, exercise pedals

Resistance: Prescription based on 10 repetition maximum testing. Pin-loaded machines (leg press, chest press, lat pull down), exercise bands, free weights, body weight exercise (e.g. pushups, stepups, squats, sit to stand)

Intensity

Aerobic: Moderate (BORG 3–4)

Resistance: 2–3 sets 10–12 RM

Progression: Resistance training based on attainment of 2–3 sets of 12, RPE 3–4

Aerobic training aim to work 2–3 for first 2 weeks of the program, working up to 4 on BORG scale by week 8

Hospital-based group opted for 1 or 2 × weekly supervised training

Frequency

2 × weekly strength training (all)

3X weekly aerobic training (all)

Session time

Hospital: 60 min (5-min warm-up and cool-down, approx 20 min aerobic, 20 min resistance)

Home: 30 min aerobic, resistance not time based

Overall duration 8 weeks
Tailoring • Individualised exercise program based on initial consultation and goals
Trial fidelity

• Staff with a background in oncology physiotherapy who had prior formal training were employed by the hospital to provide the intervention. Staff also attended three, 1-h education sessions on exercise and cancer

• Exercise log-books were completed for centre-based sessions

• Records of the number and duration of completed sessions

• Clinical supervision as per standard hospital policy

Outcome measures

Participant characteristics were recorded including age, gender, cancer diagnosis and treatment details. Measures of demand, acceptability, implementation, practicality and limited efficacy are presented in Table 2.

Table 2.

Outcome measures of feasibility as described by Bowen’s Framework

Construct Measure Source

Demand

To what extent is a new program likely to be used?

• Overall number of referrals

• Number of newly diagnosed versus long-term cancer survivors

Routinely collected data

Acceptability

To what extent is a new program, judged as

suitable, satisfying or attractive to program deliverers or recipients?

• Number of individual referrers Routinely collected data
• Number of accepted referrals Exercise records

• Number of sessions attended

• Participant satisfaction

Survey

Implementation

To what extent can a new

program be successfully delivered to intended participants in some defined, but not fully controlled, context?

• Description of staff training

• Stakeholder engagement

• Workflow

• Equipment

• Resources

Project documentation

Practicality

To what extent can a program

be carried out with intended participants using

existing means, resources, and

circumstances and without outside intervention?

• Number of adverse events

• Waiting time

• Session duration

• Ongoing referrals

Routinely collected data
• Cost Log of costs (Supplementary file 2)

Limited Efficacy

Does the new program process show promise of being

successful with the intended

population, even in a highly

controlled setting?

• 6-min walk test

• 5-times STS

• Exercise self-efficacy scale

• EORTC QLQ-30

Patient assessment

EORTC QLQ-30 European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaire Core 30, STS sit-to-stand

Patient acceptability survey was an instrument designed by the research team (Supplementary File 1)

Data analysis

A convenience sample was employed as one of the primary outcomes was to determine service demand. We aimed to recruit 35 participants over a 6-month period to detect clinically significant changes (Cohen’s d = 0.5) [29] in patient-related outcomes for limited-efficacy testing, assuming a power of 0.80 and 2-tailed alpha level of 0.05. This would also allow comparison to published data on a sub-acute exercise-based program (n = 24) within the same health service [30].

Participant characteristics, satisfaction, demand, uptake and adherence are reported descriptively. Feasibility thresholds for demand, uptake and adherence were based on comparison to routinely collected data from the existing sub-acute cancer rehabilitation program within the health service in the 2019 calendar year. Fisher’s exact test was used to determine differences between referrer type and uptake. Means and standard deviations were calculated for normally distributed data and median and ranges for non-normally distributed data. Content of open-ended survey comments was grouped into themes independently by two researchers and discussed until consensus was met on the main themes using an inductive approach. Standardised mean differences and 95% confidence intervals were calculated using pre- and post-intervention data to determine effect sizes. Cohen’s d was used to describe the magnitude of the change with 0.2 representing a small effect; 0.5 a moderate effect and 0.8 a large effect [31]. Mean differences and 95% confidence intervals were calculated using paired t tests to determine the clinical significance of any changes. To explore differences between program type (hospital-based or home exercise program), analysis of covariance (ANCOVA) was used with baseline measures and time since diagnosis as covariates. Data were analysed using SPSS version 26.

Results

Demand

Over the 6-month recruitment period, 155 referrals were received. Most referrals were received from allied health professionals (n = 63, 41%). As demand exceeded expectations, the protocol was amended to recruit all eligible participants within the 6-month period. Of 155 referrals, 119 were eligible (77%) and 73 patients agreed to participate (61% uptake) (Fig. 1). There was no difference in uptake regardless of who referred the patient (p = 0.142).

Fig. 1.

Fig. 1

Flow of referrals

Most accepted referrals were outpatients (n = 61, 84%) at program admission. Thirty-nine (53%) patients were newly diagnosed with cancer and 34 (47%) had pre-existing cancer. On average, participants were 63 years old (SD 11) and 9-months post-diagnosis (range 0 to 298). Most participants were diagnosed with breast cancer (n = 15, 21%) or haematological malignancy (n = 28, 38%) and over half with known disease stage were diagnosed with stage 3 or 4 cancers (n = 40, 55%) (Table 3). Most participants were receiving chemotherapy when admitted to the program (n = 41, 64%). Two referrals were made for prehabilitation prior to stem cell transplant and three prior to breast cancer surgery.

Table 3.

Participant demographics

Characteristic
Age (years), mean (SD) 63 (11)
Gender (male), n (%) 41 (56)
Type of cancer, n (%)
Breast 15 (21)
Lower GI 8 (11)
Upper GI 2 (3)
Gynaecological 3 (4)
Multiple myeloma 11 (15)
Lymphoma 9 (12)
Leukaemia 8 (11)
Lung 5 (7)
Renal 5 (7)
Other 7 (10)
Cancer stage, n (%)*
I 1 (2)
II 9 (12)
III 21 (29)
IV 19 (26)
Unknown 23 (32)
Time since diagnosis, median (range) months 9 (0 to 298)
Current treatment received, n (%)
Chemotherapy only 41 (46)
Radiotherapy only 3 (4)
Immunotherapy only 15 (21)
Targeted therapy only 2 (3)
Combination of any of the above 6 (8)
Stem cell transplant 6 (8)
Treatment intent, n (%)
Curative 36 (49)
Palliative/maintenance 37 (51)

*Stage data missing for most haematological malignancies

Acceptability

Referrals were received from 53 individual referrers. Most participants (n = 67, 92%) attended their first appointment. Two participants did not attend beyond the first appointment (n = 1 readmission, n = 1 refused). The preferred rehabilitation pathway was hospital-based rehabilitation (n = 52, 71%), with the majority opting for twice-weekly sessions (n = 38, 52%). On average, participants attended 7 of 16 available sessions. Participants who opted for twice-weekly exercise attended 9/16 sessions (56%), and once-weekly attended 3/8 sessions (40%). Primary reasons for sessions missed were refusal (25% of missed sessions) or unwell due to treatment (23% of missed sessions). Ten participants were unable to participate in group exercise sessions due to the introduction of COVID-19 restrictions. These participants completed home exercise for the remainder of their program. Fourteen participants (19%) did not complete the program (4/21 (19%) home-based, 10/52 (19%) hospital-based) with the most common reasons being hospital readmission (n = 4) or disease progression (n = 4) (Fig. 1). Half of participants were referred to ongoing community-based rehabilitation after program completion, with most being referred to the health service’s existing sub-acute, multi-disciplinary cancer rehabilitation program (n = 20, 27%). Remaining participants accepted an ongoing unsupervised home exercise program. One other multi-disciplinary referral was made to an occupational therapist.

All participants reported they were satisfied with the program and would recommend it to others (Supplementary file 2). They described physical and psychosocial benefits and highly valued staff.

‘I found that the ‘treadmill’ of cancer was mitigated considerably by the improvement of my physical health and fitness. My concern of adding another set of activities to the rounds of blood tests, MRIs, CAT scans, doctor’s appointments, treatment was in hindsight unfounded’.

(participant 10, age 74, metastatic melanoma and lymphoma)

‘I found the staff really supportive… they tailored the program to suit my needs… were really flexible and attentive…’

(participant 52, age 53, leukaemia)

Participants had high confidence to continue exercising after the program finished according to the self-efficacy item on the survey (mean 9 units, SD 1).

‘It gave me motivation. I wish I had started earlier’.

(participant 60, age 71, leukaemia)

Six participants (8%) reported difficulties with program access. The main issue reported was parking.

‘I would still be exercising but I had to stop due to lack of parking’.

(participant 1, age 67, metastatic lung cancer)

Implementation strategies

A senior physiotherapist (20 h per week) and mid-level physiotherapist (19.5 h per week) with combined 5.5 years oncology-specific experience were employed to implement and administer the program. They were supported by a senior research physiotherapist in the initial setup to promote and coordinate the program and provide leave cover for staff absence. The physiotherapists had prior cancer-specific training in acute and community cancer settings.

To raise awareness and knowledge of cancer rehabilitation, three 1-h education sessions about cancer and rehabilitation were completed with program staff and other hospital physiotherapists. Additionally, three presentations were made to cancer services medical, nursing and allied health staff to provide updates throughout program implementation. A flyer, poster and fortnightly newsletter was developed, and the organisation’s communications officer was engaged to promote the program within and outside the health service. Implementation was guided by a steering committee including a consumer, clinical directors, physiotherapy manager and community partner.

The referral process was made simple so all oncology clinicians could readily refer. Referrals could be received verbally (in-person or via phone) directly to the physiotherapist by any clinician, or via a centralised email address by including patient name and contact details. Patients could also self-refer. All clinicians were encouraged to have a conversation with patients about exercise and cancer prior to referral. However, in practice, referrals may have been received without a conversation being had.

Assessments were conducted in a dedicated room in the cancer unit. Exercise sessions were conducted in the existing physiotherapy gym with pre-existing equipment. A flexible program was deliberately offered in an attempt to improve uptake. A timetable was created which allowed exercise sessions to be run 4 days per week (Monday to Thursday). Participants were scheduled to attend a one-hour exercise session once or twice a week or receive only a home-based program. A clinician-to-patient ratio of 1:4 was employed for the group classes. Existing forms and electronic medical records were used for program documentation.

Initial funding for the pilot was provided by an external service improvement grant. Philanthropic funds were sought to sustain the program beyond the pilot period to fund ongoing clinical staff salaries. There was no cost to patients to participate in the program. Participants were offered subsidised on-site parking through the day oncology unit but reported not using it due to limited availability.

Practicality

Three minor adverse events related to the intervention were reported in the hospital-based participants which resolved with rest and exercise modification (shoulder pain, muscle soreness, dizziness). No major adverse events were recorded.

The average wait time to the first appointment was 20 days (range 0–99). Variation in wait time was due to patients not feeling ready to participate at first contact. The average time taken for first appointment was 51 min (SD 7). Exercise sessions were 1-h duration.

No additional expenses were incurred for equipment or venue. A direct mobile phone line for the program was initiated as there was no administration support available. The primary resource cost was the funding of staff resources (Supplementary file 3). The average overall cost to the health service per patient was AUD $1,104.

Limited efficacy

Participants demonstrated significant changes in function. Objectively, 6MWT improved by a mean difference of 72.8 m (95% CI 49.4 to 96.2 m) and timed sit-to-stand improved by 1.3 s (95% CI 2.6 to 2.0 s). Significant improvements were also made on all functional subscales of the EORTC QLQ-C30 (Table 4).

Table 4.

Limited efficacy testing, pre and post intervention means of patient outcomes

Outcome Baseline, mean (SD) Post-intervention, mean (SD) Mean difference, 95%CI Hedges g effect size, 95% CI
6MWT (m) n = 38 414 (92) 486 (78) 73 (49 to 96)* 0.85 (0.14 to 1.46)
5 times STS (s) n = 41 11.1 (3.7) 9.8 (2.9)  − 1.3 (− 2.1 to − 0.6)* 0.39 (0.05 to 0.83)
Self-efficacy for PA (0–90) n = 58 56.4 (17.6) 60.8 (16.9) 4.3 (− 0.90 to 9.6) 0.25 (− 0.11 to 0.62)
EORTC QLQ-C30 (0–100) n = 59
Global quality of life 61 (22) 69 (16) 8 (3 to 13)** 0.43 (0.06 to 0.79)
Physical function 77 (17) 82 (15) 5 (1 to 9)** 0.32 (− 0.04 to 0.69)
Role function 61 (29) 73 (26) 12 (4 to 21)** 0.45 (0.08 to 0.81)
Emotional function 76 (20) 83 (17) 7 (3 to 12)** 0.41 (0.04 to 0.77)
Cognitive function 75 (23) 81 (20) 5 (1 to 10)* 0.25 (− 0.11 to 0.61)
Social function 63 (26) 74 (24) 11 (5 to 18)** 0.45 (0.08 to 0.82)
Fatigue 42 (19) 33 (21)  − 9 (− 15 to − 3)** 0.43 (0.07 to 0.80)
Nausea 12 (20) 8 (16)  − 4 (− 10 to 2) 0.22 (− 0.14 to 0.58)
Pain 23 (25) 21 (22)  − 2 (− 7 to 3) 0.08 (− 0.28 to 0.44)
Dyspnoea 29 (27) 18 (21)  − 11 (− 18 to − 3)** 0.44 (0.07 to 0.80)
Insomnia 32 (26) 34 (29) 2 (− 6 to 10) 0.08 (− 0.44 to 0.28)
Appetite 16 (23) 16 (25) 0 (− 8 to 6) 0.02 (− 0.34 to 0.38)
Constipation 20 (28) 14 (24)  − 7 (− 14 to 0) 0.26 (− 0.10 to 0.62)
Diarrhoea 17 (27) 13 (22)  − 4 (− 12 to 4) 0.16 (− 0.20 to 0.52)
Financial difficulty 24 (35) 20 (31)  − 4 (− 10 to 2) 0.12 (− 0.24 to 0.48)

*Significant at < 0.05 **significant at p < 0.01

Significant changes in global quality of life were achieved (MD 8.2 units, 95% CI 2.6 units to 13 units). Fatigue (MD − 8.8 units, 95% CI − 2.6 to − 15.0) and dyspnoea (MD − 10.7 units, 95% CI − 3.3 to − 18.2) also improved. There was no difference in other symptoms or exercise self-efficacy (Table 4).

When comparing program types (centre-based versus home exercise program), there was no difference in any outcome (Supplementary file 4).

Discussion

This study demonstrated exercise-based rehabilitation is safe and feasible in a hospital-based cancer unit. Participants who completed the program reported high satisfaction and made clinically significant gains in function and quality of life. Despite demand, acceptability and easy implementation of the program, there was modest uptake. This study adds to existing literature by demonstrating the feasibility of a co-located exercise-based cancer rehabilitation model including hospital and home-based exercise options with a mixed cohort of cancer survivors with moderate levels of exercise self-efficacy. It provides a practical outline of how-to setup a co-located exercise-based cancer rehabilitation program which will aid the ongoing translation of research to practice.

Implementing a co-located, exercise-based cancer rehabilitation program may help overcome barriers to cancer survivors accessing exercise. As demonstrated by this study, a broad demographic of cancer survivors participated in the program including many groups under-represented in exercise cancer trials such as males and people with advanced or haematological malignancies. Referrals were made by a variety of referrers, including doctors, indicating the program was acceptable to health professionals. Referral sources were much greater than that reported by another co-located exercise rehabilitation program where most referrals came from just two oncologists [25]. Referral rates were also higher than those previously published, with total reach of the program approximately 10% of potentially eligible patients at the health service. This rate is similar to another co-located program [25] and significantly higher than existing exercise-based cancer rehabilitation programs [11, 30]. Demand for this program is noteworthy given low numbers of referrals to cancer rehabilitation are an issue in clinical practice [11]. Success may be owed to the visibility of the program in the cancer centre, providing awareness and convenience to patients and referrers [15]. Co-location may be a particularly important consideration for developing new rehabilitation programs for people receiving treatment where additional barriers such as feeling unwell and managing multiple priorities are an issue [15]. Investment was also put into program promotion with extensive stakeholder engagement before, during and after implementation, raising the profile of cancer rehabilitation within the organisation. An advantage was that the organisation had a pre-existing sub-acute cancer rehabilitation program to help drive and promote cross-referrals. These factors may have resulted in greater readiness for implementation and culture change where exercise-rehabilitation during cancer treatment is valued [32].

Despite this program providing better access to exercise for cancer survivors receiving treatment, modest uptake of the program by potential participants was an issue. Almost half of eligible referred participants did not accept referral with the most common reasons being they were not interested or unsure of committing to a program. Uptake was lower than previous reports [33] but consistent with prior evidence people need to feel ‘ready’ to participate in cancer rehabilitation, and require multiple prompts before they act on a referral [34]. Uptake may also be reflective of the pragmatic sample from a public hospital setting where participants may have significant comorbidities or less interest in exercise. It is also possible not all participants participated in a conversation about exercise with their oncologist or haematologist prior to referral which may negatively affect uptake given an oncologist’s recommendation significantly increases participation in exercise [35]. This highlights the importance of bi-directional education and discussion with patients about why they should participate in exercise-rehabilitation during treatment. It also questions the appropriateness of routinely referring all participants to exercise-based rehabilitation as many are simply not ready to participate. Therefore, flexible models of rehabilitation with varied entry and exit points are required [36].

Many cancer rehabilitation models exist but no optimal model has been established [37]. The cardiac rehabilitation model, comprising centre-based, supervised exercise prescription and self-management, is a common model integrated into hospital settings [11] that is utilised in this study. Advantages of this model are greater efficacy of supervised training [38] and the ability to utilise pre-existing facilities and referral structures [39]. However, these programs may not be able to cater to the wide needs of cancer survivors, with issues related to program structure and access [11]. This study demonstrated the feasibility of an alternative model including home-based exercise which added greater flexibility. Cancer survivors have previously described preference for home-based exercise [40] and those participating in home-based exercise in this study achieved equivalent outcomes to those attending hospital-based exercise. Home-based exercise models could be a less resource-intensive option for implementation of cancer rehabilitation in health services. Future research could evaluate home-based models which may include telehealth, use of mobile applications and wearables for monitoring as well as assessing cost-effectiveness, uptake and exercise adherence to further aid broad implementation of exercise-based cancer rehabilitation.

Implementing hospital-based rehabilitation programs is resource-intensive. Costs are a key driver of decision-making in health care. Similar to this study, recent implementation studies [24, 25] were largely reliant on philanthropic and research funding to develop and sustain cancer exercise rehabilitation programs and the volatile nature of this funding presents major barriers to ongoing sustainability [25]. The average cost per patient for this program was AUD $1,104 with the primary expense being staff. Costs were similar to other supervised exercise rehabilitation programs [4143]. These costs may be offset by adherence to exercise recommendations being associated with lower health care expenditure in people with cancer [44]. Significant clinical improvements in patient outcomes demonstrated in this study may result in prevention of hospital readmission and reduced hospital length of stay. The average cost of a cancer-related hospital admission in Australia varies between AUD $3561 and AUD $48,659 [45]. There is emerging evidence rehabilitation programs may provide cost savings through reduction in length of stay and readmissions [46]. Cost savings related to exercise-rehabilitation are most evident in programs delivered prior or during cancer treatment [41, 42, 47, 48]. For example, a trial of supervised exercise after autologous stem cell transplant found rehabilitation was not cost-effective [42], whereas a trial of supervised exercise for women during treatment for breast cancer was likely to be cost-effective depending on willingness to pay thresholds [41]. Therefore, there is potential for large cost savings with early rehabilitation. More research is required to confirm benefits to health services to drive policy change and fund exercise-rehabilitation programs as part of standard care.

Strengths and limitations

To our knowledge, this is the first study to assess the feasibility of implementing a flexible, exercise-based cancer rehabilitation program in a public, co-located cancer unit. This study was reported in accordance with STROBE and TIDieR guidelines which will assist replication of findings in other cancer settings. A strength of this research is that it evaluates a pragmatic program utilising minimal resources which could be replicated in public hospital settings.

A limitation of this study is that it includes a small, non-randomised sample of participants. There is risk of selection bias as commonly, participants seek out interventions they value. However, the pragmatic nature of the study setting included a broad demographic of participants including those typically under-represented in exercise oncology research suggesting results may be generalizable to other settings. This study focussed on feasibility which included implementation strategies, but it is acknowledged different implementation frameworks could be used to inform future research translation. The home exercise program delivered in this study was limited to written instructions without follow-up which may reduce the effectiveness of the home-based intervention. Adherence to the home exercise program was also not recorded due to previous non-compliance with completion of exercise diaries [30]. However, the home-based model was not the focus of this study and participants still demonstrated gains. We also did not measure baseline physical activity levels. However, participants had only modest exercise confidence and a similar demographic of participants in previous studies undertaken in the same health service demonstrated very low levels of physical activity [30, 49]. Improvement in outcomes may have been influenced by natural progression over time and supportive care provided. However, the aim of this study was not to demonstrate efficacy of exercise. It is well established from randomised controlled trials that exercise-rehabilitation improves health outcomes for cancer survivors. Participants made clinically significant gains consistent with published evidence which increases confidence improvements were related to the rehabilitation intervention.

This study demonstrated implementing a co-located, exercise-based rehabilitation program in a cancer unit is safe and feasible. Clinical gains in this study reinforce exercise interventions can be readily translated pragmatically into hospital settings. Co-location may improve access to exercise for cancer survivors. However, readiness to participate in rehabilitation during treatment needs to be considered by using flexible rehabilitation models to overcome issues with uptake and adherence. More health services research is required to demonstrate the cost-effectiveness of programs so they can be integrated into standard care.

Supplementary Information

Below is the link to the electronic supplementary material.

ESM 5 (62.5KB, xlsx)

(XLSX 62.5 kb)

Acknowledgements

We would like to thank Germaine Tan and April Chiu for their contribution to participant recruitment and data collection. We would also like to thank the staff and patients from Eastern Health who supported this project.

Author contribution

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Amy Dennett. The first draft of the manuscript was written by Amy Dennett and Casey Peiris, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Funding

This project was funded by a service improvement grant from North Eastern Melbourne Integrated Cancer Services.

Data availability

Data is available as supplementary material.

Declarations

Ethics approval

This study was approved by the Eastern Health Human Research Ethics Committee (LR19-032).

Consent to participate

Informed consent was obtained from all individual participants included in the study.

Consent for publication

N/A

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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