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| Name | Class |
|---|---|
| KlaipÄ—da University | OTHER |
| University of Rostock | OTHER |
| Angelholm Hospital | OTHER |
| University Clinical Centre, Gdansk |
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Background
With increasing cancer incidence and advanced cancer treatment, the growing population of cancer survivors increases the demand on health resources worldwide. Over the last 20 years, physical rehabilitation has reached recognition as an essential component of cancer care due its effect on physical function, side effects of treatment, and quality of life. However, highly specialized health care can result in longer distances to rehabilitation facilities. Also, a heavy appointment schedule for patients in treatment tends to complicate participation in rehabilitation. Telehealth has shown promise in increasing accessibility to services, also rehabilitation. However, barriers to participating in digitally delivered rehabilitation might exist, including lower e-health literacy and internet access in rural areas. The aim of this study is therefore, to examine the feasibility of implementing digitally supported rehabilitaiton in cancer care during and after treatment.
Methodology In a multinational implementation study, the feasibility of implementation of digital rehabilitation will be tested in five South Baltic Countries (DK, SWE, GER, PL, LTU). Each site will host one feasibility trial for patients during cancer treatment and one for patients after, with n=30 patients in each fesibility trial (total n=300). The intervention will be needs-based, follow international guidelines, last from 8-16 weeks, and be delivered by trained Health Care Professionals (HCP's), either fully or partially digital. Mixed methods will be used to assess outcomes of reach, effectiveness, adoption, implementation and maintenance (RE-AIM).
Through the coordinated feasibility trials across five South Baltic countries, the investigators expect to learn about important factors in implementation of digitally delivered rehabilitation in different settings, cultures, and health systems. Finally, the investigators will bring recommendations for improving reach, implementation, and sustainability of digitally delivered rehabilitation across different settings.
Detailed Description
Introduction
Increasing survival rates in cancer patients has put an increasing focus on physical rehabilitation in survivorship. Physical rehabilitation plays an important role in the cancer care continuum by improving Quality of Life, functional ability and participation in everyday life. Often, however, patients may be unable to participate due to barriers related to resources, social support, distance to facility, a heavy treatment schedule and dealing with side- or late effects of treatment. Physical rehabilitation during primary, neoadjuvant or adjuvant oncological treatment could prevent loss of muscle strength, maintain or even improve physical fitness, alleviate acute toxicities of chemotherapy like fatigue, pain, depression and nausea. When entering the survivorship phase, it is also well-documented that survivors have difficulties meeting recommendations for physical activity, and the negative consequences are reduced survival and increase risk of lifestyle diseases and systemic late effects after treatment. Although physical rehabilitation is already recommended in international clinical guidelines, it is far from implemented broadly. Further, current studies indicate that there is socioeconomic inequality in who participates in the rehabilitation on offer. One reason might be the rurality of certain regions, costing patients many resources in i.e. transportation. Other reasons may include lack of resources to participate, both timewise, but also related to psychological, physical and social demands. Digital solutions may be beneficial in solving many of the barriers to participation and be a way to deliver "precision rehabilitation"; the right mode and dose to individual patients, taking personal preference and resources into consideration and utilizing them.
This study aims to feasibility test implementation of digital rehabilitation in 5 rural countries in the South Baltic.
Methods
Trial design This study is a multinational multisite feasibility study of the implementation of digitally supported physical rehabilitation in five South Baltic countries (DK, PL, GER, SWE, LTU) during systemic treatment (feasibility study 1) and after systemic treatment (feasibility study 2). The feasibility studies will be run as one-arm intervention studies.
Study setting and organization The current study is part of the Interreg South Baltic Program-funded project "AMBeR" (Advanced Modelling of Baltic cancer e-caRe). A total of seven partners from five countries are involved and are working on five different WP's. The following 5 of the 7 project partners are involved in the study (WP 4) are described here: 1) Angelholm Hospital, Region Scania, Sweden; 2) University Medical Center Rostock, Germany; 3) University Clinical Center Gdansk, Poland; 4) Klaipeda University, Lithuania; and 5) Zealand University Hospital, Denmark.
Each site will participate in the feasibility studies with á n=30:
Inclusion criteria
Additionally, in feasibility study 1 (early rehab):
Participants should receive any systemic chemo/immunotherapy preferably (but not necessarily) with a duration of 8 weeks or more. Recruitment should be at earliest convenience preferably (but not necessarily) within 4 weeks of treatment initiation.
In feasibility study 2 (rehab@home):
Participants should preferably have completed chemotherapy/immunotherapy no more than 6 months ago but may be receiving long-standing maintenance and life-prolonging chemo-/immunotherapy.
Eligible patients are patients that have physical or psychological rehabilitation needs and that would normally be referred to physiotherapy or similar exercise specialist in cancer care, either as per normal practice or according to international guidelines.
Eligible health Care professionals delivering the intervention are those who according to local practice and authorization deliver usual care to the target groups specific to each site.
Choosing a digital solution Health care professionals/physiotherapists and the local study group at each site will be involved in choosing the digital solution to be implemented, and each site will select a unique digital solution to meet their criteria and needs. The selection is based on availability on the local market, targeted population, language availability, objectivity of movement feedback, possibility for interaction, and features for progression and regression of treatment programme. Further the demands for integrating the solution into existing IT systems is also considered. The advantages/disadvantages and costs will be weighed before a solution is selected.
Implementation
Following workshop 1, pre-study identification of expected barriers and facilitators for patients to engage in remote physical rehabilitation will be carried out through 4 steps:
Assessing Patient's and HCP's perspectives on determinants
Towards the final phase of completing the feasibility studies, the perspectives of patients' and HCP's on the important determinants for engagement in remote physical rehabilitation will be examined, applying the technique of Group Concept Mapping. The process will follow 5 pre-described steps and all activity will be online utilizing the software "GroupwisdomTM":
4) Generating a cluster rating map 5) Validation of the cluster rating map The process will be performed separately for patients and HCPs, inviting a representative sample of patients for one study and all participating Intervention delivering HCP´s for a second study. For the study where patients participate, there will be a translation process of all texts and prompts to the patients' own language and back again, for the researchers to process and analyze.
Quantitative outcomes The RE-AIM framework will be used for a systematic quantification of outcomes. A range of different outcomes, measurement methods and data sources will be used as outlined in outcome measures section. For the questionnaire all partners will translate a common questionnaire into their own language using a forward-backward translation process and pilot-testing the translated questionnaire on 5-8 patients.
Data collection and management A REDCap database will be created for all study outcomes and relevant data to be collected and safely stored.
All HCP's involved in data collection will undergo a thorough training and standardization program involving physical testing, patient-reported outcome collection, recording /database familiarization, and update on international clinical guidelines in cancer rehabilitation. Monthly audits will be carried out to secure rigorous data collection is homogeneous and follows protocol.
Participant and Non-participant questionnaires To obtain information about eligible patients who decline participation in remote physical rehabilitation, decliners will be invited to answer a short questionnaire, reporting on their characteristics, reasons for refusal and barriers for participation (see table 1, decliners). Those who accept participation will receive a larger questionnaire reporting further on Patient Reported Outcome Measures (PROMs) and Acceptability. PROMs and Acceptability scales outlined in Table 1 will be collected using validated questionnaires. If not available in the local language, a forward-backward translation will be carried out and validated in 2-4 patients.
Effectiveness evaluation At the initial consultation with a HCP, the patient and HCP together will set realistic goals for the intervention, using the Patient Specific Functional Scale (PSFS) to quantify meaningful functional goals relevant to the individual patient. As per usual care, these goals may be adjusted along the way according to the patient's health status development, and the number of times adjusted will be recorded in the database. At the beginning and the end of the intervention, the patient rates themselves on a 0-10 scale how close to reaching the goal they are, and a within-patient change score will be calculated.
Harms and drop-outs An ongoing and systematic registration of harms, drop-outs and reasons for drop-out, as well as if any of the aforementioned events are likely to be associated to the delivery method of the intervention will be recorded in the database on a day-to-day basis.
Economic/resource evaluation An economic analysis will be performed using collected process data evaluating time and resources used for the remote digital rehabilitation. Data in this evaluation will cover Administrative time and contact attempts, consultation time, physiotherapist/HCP's time used in preparation/tracking the patient progress, and patients transport time (saved).
Sample size in the feasibility trials Sample size of the feasibility trials was estimated based on considerations on ensuring sufficient gathering of experiences each site, backed up by literature on recommendations for sample size in pilot trials and feasibility studies. The decision from the consortium was 30 participants each site for each feasibility study, giving a total pooled sample of 30 participants x 2 feasibility studies x 5 sites = 300 participating patients in total. The number needed to screen and invite at each site will therefore be varying and these numbers will be recorded.
Relevant concomitant care Participants will be allowed to attend concomitant usual care supplemental rehabilitation for diagnosis specific needs that cannot be met by the involved health professional or with the digital tool selected. If a participant wishes to receive usual care instead of the intervention with digital rehabilitation, they will be put on the waiting list for that.
Statistical methods Mainly descriptive statistics will be used to analyze quantitative outcomes, although effectiveness will be assessed with a pre-post change score.
Ethics approval and consent to participate Ethics approval will be applied for in each participating country with local adaptions of this protocol.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Digital physical rehabilitation | Experimental | Feasibility testing the implementation of digitally delivered physical rehabilitation a) during systemic anticancer treatment and b) after completion of systemic anticancer treatment |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| remote physical rehabilitation | Other | In this multisite international study, we feasibility test implementation of 4 different digital solutions for delivering interactive physical rehabilitation during or after systemic anticancer treatment. The contents of the intervention follows international recommendations for exercise during or after treatment for cancer. |
| Measure | Description | Time Frame |
|---|---|---|
| Patient's and therapist perspectives on determinants | 2 Qualitative analyses using online Group Concept Mapping will be performed. One with 5-10 patients in their final phase of the rehabilitation program (minimum 1 participant each country), and one with 5-10 therapists/health professionals (minimum one each country). One -two promps phrased to create responses from informants about what the determinants are for engaging in digital e-rehabilitation, will be specified by the project group in collaboration. The process will further follow 5 pre-described steps of online activities, utilizing the software "GroupwisdomTM", The steps are as follows: Step 1) Brainstorming the prompt(s) Steps 2 and 3) Sorting, labelling and rating Step 4) Generating a cluster rating map Step 5) Validation of the cluster rating map We will perform the process separately for patients and therapists. | Patients: between 4 and 12 weeks of intervention participation. Therapists: between 5 patient treatments completed and end of study (on average 1 year). |
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| Measure | Description | Time Frame |
|---|---|---|
| Educational level | International Standard Classification of Education (ISCED) ISCED 0 = Early childhood education ISCED 1 = Primary Education ISCED 2 = Lower Secondary Education ISCED 3 = Upper Secondary Education ISCED 4 = Post-secondary non-Tertiary Education ISCED 5 = Short-cycle tertiary education ISCED 6 = Bachelors degree or equivalent tertiary education level ISCED 7 = Masters degree or equivalent tertiary education level ISCED 8 = Doctoral degree or equivalent tertiary education level |
Inclusion Criteria:
Exclusion Criteria:
- Cognitively unable to give consent to, or participate in, a digital rehabilitation programme as judged by project team staff.
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Gunn Ammitzbøll, PhD | Contact | + 45 22 46 27 33 | gai@regionsjaelland.dk | |
| susanne O Dalton, PhD | Contact | + 45 35 25 76 18 | sdalt@regionsjaelland.dk |
| Name | Affiliation | Role |
|---|---|---|
| Susanne O Dalton, MD PhD | Zealand University Hospital, Department of Clinical Oncology and Palliative Care | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Zealand Unievrsity Hospital | Recruiting | Næstved | 4700 | Denmark |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37990337 | Background | Totton N, Lin J, Julious S, Chowdhury M, Brand A. A review of sample sizes for UK pilot and feasibility studies on the ISRCTN registry from 2013 to 2020. Pilot Feasibility Stud. 2023 Nov 21;9(1):188. doi: 10.1186/s40814-023-01416-w. | |
| Background | Stratford P, Gill C, Westaway M, Binkley J. Assessing disability and change on individual patients: a report of a patient specific measure. Physiotherapy Canada. 1995(47):258-63. | ||
| 10474547 |
| Label | URL |
|---|---|
| Homepage for the AMBeR project, of which the AMBeR eRehab is a work package and separately registered study. | View source |
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This study classifies in the domain of implementation studies, and therefore the focus of interest is on implementation data and not on individual particpant data. Whether the data will be suitable for sharing has not yet been discussed and depends on national regulations in each participating country.
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| OTHER |
This study is a multinational multisite feasibility study of the implementation of digitally supported physical rehabilitation in five South Baltic countries (DK, PL, GER, SWE, LTU) during systemic treatment (feasibility study 1) and after systemic treatment (feasibility study 2). The feasibility studies will be run as one-arm intervention studies.
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|
| Baseline |
| Employment status | a) Full time, b) part time, c) self-employed, d) unemployed seeking work, e) unemployed not seeking work, f) student, g) retired, h) unable to work, i) other. | baseline |
| Attendance rates | Number of attended/performed sessions versus number of prescribed sessions | baseline to end intervention (8-12 weeks) |
| Recruitment and referral rates | Number of referrals, number of enrolled vs. declined. | Baseline |
| Adherence | Exercise volume in realtion to exercise prescription | Baseline to end of intervention (8-12 weeks) |
| Number of monthly physical encounters between patient and therapist | Fidelity to protocol: should not exceed to physical encounters per month | During intervention (8-12 weeks) |
| Health technology readiness | The Readiness and enablement index for Health technology (READHY) before initiation of the intervention. (In the countries where a validated translation does not exist, one of the following will be used instead: The health education impact questionnaire (Hei-Q), The Health litteracy questionnaire (HLQ) or the eHealth Literacy Questionnaire (eHLQ), which are the scales from which the READHY items are drawn) | Assessed at one timepoint at inclusion into the study, before initiation of the intervention. |
| Barriers for participation | Qualitative assessment of reasons for refusal, and rural/remote-specific barriers enrolled/decliners. | Baseline |
| Safety | Registration of adverse events throughout the intervention | During intervention (8-12 weeks) |
| Acceptability | Assessed by the Theoretical Framework of Acceptability (TFA) | Post intervention |
| Time consumption per patient | Minutes spent in patient management, either during consultation, online or in-person, and in contact attempts. | During intervention (8-12 weeks). |
| Patient Specific Function Scale | Patients own rehabilitation goal | Assessed pre- and post-intervention |
| European Organization of Research and Treatment in Cancer, core module (C30) | Health Related Quality of Life | Assessed pre- and post-intervention (8-12 weeks) |
| European Organization of Research and Treatment in Cancer, fatigue module (FA12) | Validated scale for assessing fatigue in patients with cancer | Assessed pre- and post-intervention (8-12 weeks) |
| EQ-5D-5L | EQ-5D_5L is a standardised measure of health-related quality of life developed by the EuroQol Group to provide a simple, generic questionnaire. | Assessed pre- and post-intervention (8-12 weeks) |
| Step count, daily average | Physical activity. For the participating countries, where the digital solution for rehabilitation delivery does not measure step counts, the Godin Shephard Leisure Time Questionnaire or the International Physical Activity Questionnaire will be used to assess physical activity instead. | Assessed pre- and post-intervention (8-12 weeks) |
| Gait speed | 4- or 10-meters speed test, accoding to local availability/space | Assessed pre- and post-intervention (8-12 weeks) |
| 30 second sit-to-stand | Physical function; number of sit to stand repetitions in 30 seconds. | Assessed pre- and post-intervention (8-12 weeks) |
| Timed up and go | Physical function alternative test | Assessed pre- and post-intervention (8-12 weeks) |
| Hand grip strength | Hand grip dynamometry: in Newton. | Assessed pre- and post-intervention (8-12 weeks) |
| Tandem test | Balance | Assessed pre- and post-intervention (8-12 weeks) |
| 6-minute walk test | Endurance | Assessed pre- and post-intervention (8-12 weeks) |
| Watt max test | Endurance alternative test | Assessed pre- and post-intervention (8-12 weeks) |
| Cancer disease | Cancer type, cancer treatment, treatment intent. | baseline |
| Body height | measured in meters | baseline |
| Body weight | Measured in kilograms | baseline |
| University Medical Center Rostock | Recruiting | Rostock | 18057 | Germany |
|
| Klaipeda University | Recruiting | KlaipÄ—da | LT-92294 | Lithuania |
|
| Medical University of Gdansk | Recruiting | Gdansk | 80-210 | Poland |
|
| Ängelholm Hospital | Recruiting | Ängelholm | 26281 | Sweden |
|
| Background |
| Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999 Sep;89(9):1322-7. doi: 10.2105/ajph.89.9.1322. |
| 27780609 | Background | Trochim WM, McLinden D. Introduction to a special issue on concept mapping. Eval Program Plann. 2017 Feb;60:166-175. doi: 10.1016/j.evalprogplan.2016.10.006. Epub 2016 Oct 11. |
| 25889199 | Background | Powell BJ, Waltz TJ, Chinman MJ, Damschroder LJ, Smith JL, Matthieu MM, Proctor EK, Kirchner JE. A refined compilation of implementation strategies: results from the Expert Recommendations for Implementing Change (ERIC) project. Implement Sci. 2015 Feb 12;10:21. doi: 10.1186/s13012-015-0209-1. |
| 36899469 | Background | Ryan M, Lam N, Wright K, Siderov J. Clinical Oncology Society of Australia Position Statement: 2022 update to the safe handling of monoclonal antibodies in healthcare settings. Asia Pac J Clin Oncol. 2023 Dec;19(6):723-730. doi: 10.1111/ajco.13943. Epub 2023 Mar 10. |
| 28954800 | Background | Sweegers MG, Altenburg TM, Chinapaw MJ, Kalter J, Verdonck-de Leeuw IM, Courneya KS, Newton RU, Aaronson NK, Jacobsen PB, Brug J, Buffart LM. Which exercise prescriptions improve quality of life and physical function in patients with cancer during and following treatment? A systematic review and meta-analysis of randomised controlled trials. Br J Sports Med. 2018 Apr;52(8):505-513. doi: 10.1136/bjsports-2017-097891. Epub 2017 Sep 27. |
| 33761906 | Background | Ibeggazene S, Turner R, Rosario D, Bourke L. Remote interventions to improve exercise behaviour in sedentary people living with and beyond cancer: a systematic review and meta-analysis. BMC Cancer. 2021 Mar 24;21(1):308. doi: 10.1186/s12885-021-07989-0. |
| 32476203 | Background | Felser S, Behrens M, Lampe H, Henze L, Grosse-Thie C, Murua Escobar H, Rohde K, Albrecht I, Zschorlich V, Junghanss C. Motivation and preferences of cancer patients to perform physical training. Eur J Cancer Care (Engl). 2020 Jul;29(4):e13246. doi: 10.1111/ecc.13246. Epub 2020 May 31. |
| 31013279 | Background | Davies JM, Sleeman KE, Leniz J, Wilson R, Higginson IJ, Verne J, Maddocks M, Murtagh FEM. Socioeconomic position and use of healthcare in the last year of life: A systematic review and meta-analysis. PLoS Med. 2019 Apr 23;16(4):e1002782. doi: 10.1371/journal.pmed.1002782. eCollection 2019 Apr. |
| 34510366 | Background | Kennedy MA, Bayes S, Newton RU, Zissiadis Y, Spry NA, Taaffe DR, Hart NH, Galvao DA. Implementation barriers to integrating exercise as medicine in oncology: an ecological scoping review. J Cancer Surviv. 2022 Aug;16(4):865-881. doi: 10.1007/s11764-021-01080-0. Epub 2021 Sep 12. |
| 29719196 | Background | Cormie P, Atkinson M, Bucci L, Cust A, Eakin E, Hayes S, McCarthy S, Murnane A, Patchell S, Adams D. Clinical Oncology Society of Australia position statement on exercise in cancer care. Med J Aust. 2018 Aug 20;209(4):184-187. doi: 10.5694/mja18.00199. Epub 2018 May 7. |
| 35576506 | Background | Ligibel JA, Bohlke K, May AM, Clinton SK, Demark-Wahnefried W, Gilchrist SC, Irwin ML, Late M, Mansfield S, Marshall TF, Meyerhardt JA, Thomson CA, Wood WA, Alfano CM. Exercise, Diet, and Weight Management During Cancer Treatment: ASCO Guideline. J Clin Oncol. 2022 Aug 1;40(22):2491-2507. doi: 10.1200/JCO.22.00687. Epub 2022 May 16. |
| 31626056 | Background | Patel AV, Friedenreich CM, Moore SC, Hayes SC, Silver JK, Campbell KL, Winters-Stone K, Gerber LH, George SM, Fulton JE, Denlinger C, Morris GS, Hue T, Schmitz KH, Matthews CE. American College of Sports Medicine Roundtable Report on Physical Activity, Sedentary Behavior, and Cancer Prevention and Control. Med Sci Sports Exerc. 2019 Nov;51(11):2391-2402. doi: 10.1249/MSS.0000000000002117. |
| 25752971 | Background | Lahart IM, Metsios GS, Nevill AM, Carmichael AR. Physical activity, risk of death and recurrence in breast cancer survivors: A systematic review and meta-analysis of epidemiological studies. Acta Oncol. 2015 May;54(5):635-54. doi: 10.3109/0284186X.2014.998275. Epub 2015 Mar 9. |
| 31626055 | Background | Campbell KL, Winters-Stone KM, Wiskemann J, May AM, Schwartz AL, Courneya KS, Zucker DS, Matthews CE, Ligibel JA, Gerber LH, Morris GS, Patel AV, Hue TF, Perna FM, Schmitz KH. Exercise Guidelines for Cancer Survivors: Consensus Statement from International Multidisciplinary Roundtable. Med Sci Sports Exerc. 2019 Nov;51(11):2375-2390. doi: 10.1249/MSS.0000000000002116. |
| 36031174 | Background | Andersen HH, Vinther A, Lund CM, Paludan C, Jorgensen CT, Nielsen D, Juhl CB. Effectiveness of different types, delivery modes and extensiveness of exercise in patients with breast cancer receiving systemic treatment - A systematic review and meta-analysis. Crit Rev Oncol Hematol. 2022 Oct;178:103802. doi: 10.1016/j.critrevonc.2022.103802. Epub 2022 Aug 27. |
| ID | Term |
|---|---|
| D009369 | Neoplasms |
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D001519 | Behavior |
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| ID | Term |
|---|---|
| D026741 | Physical Therapy Modalities |
| D015444 | Exercise |
| D012046 | Rehabilitation |
| ID | Term |
|---|---|
| D013812 | Therapeutics |
| D009043 | Motor Activity |
| D009068 | Movement |
| D009142 | Musculoskeletal Physiological Phenomena |
| D055687 | Musculoskeletal and Neural Physiological Phenomena |
| D000359 | Aftercare |
| D003266 | Continuity of Patient Care |
| D005791 | Patient Care |
| D006296 | Health Services |
| D005159 | Health Care Facilities Workforce and Services |
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