Information and Communications Technology-Based Telehealth Approach for Occupational Therapy Interventions for Cancer Survivors: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Acquisition
2.2. Eligibility Criteria
3. Results
3.1. Study Selection
3.2. Quality Assessment
3.3. Participants’ Characteristics
Author (Year) | Eligibility | Random Allocation | Concealed Allocation | Baseline Comparability | Blind Subjects | Blind Therapists | Blind Assessors | Adequate Follow-Up | Intention-to-Treat Analysis | Between-Group Comparisons | Point Estimated Variability | Score | Quality |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Skolarus et al. (2019) [21] | Yes | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 6/10 | High |
Kim et al. (2011) [22] | Yes | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 6/10 | High |
Galiano-Castillo et al. (2016) [23] | Yes | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 8/10 | High |
Meneses et al. (2018) [24] | Yes | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 6/10 | High |
Frensham et al. (2018) [25] | Yes | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 6/10 | High |
Willems et al. (2017) [26] | Yes | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 6/10 | High |
Freeman et al. (2015) [27] | Yes | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 6/10 | High |
Zachariae et al. (2018) [28] | Yes | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 7/10 | High |
Kanera et al. (2017) [29] | Yes | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 5/10 | Fair |
Galiano-Castillo et al. (2017) [30] | Yes | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 8/10 | High |
Syrjala et al. (2018) [31] | Yes | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4/10 | Fair |
Lee et al. (2014) [32] | Yes | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 7/10 | High |
Author (Year) | Study Design | Type of Cancer Size (Intervention/Control) | Intervention Group | Control Group | |||
---|---|---|---|---|---|---|---|
Content (Care Model) TH Type | Intervention Activities | Delivery | Regime | ||||
McCarthy et al. (2018) [20] | Quasi-experimental one group prepost | Breast Cancer 18 | CBTI (Tele-education) Synchronous | • Online CBTI program • Reviewing sleep diaries and adjusting sleep schedules reinforced by education | Web | • 6 sessions for 6 weeks • 30–60 min for each session | No |
Skolarus et al. (2019) [21] | RCT | Prostate cancer 278/278 | Symptom self-management (Tele-education) Synchronous | • Self-management guidance through a series of tailored newsletters • Chosen symptom and self-management strategy suggestions | Tel | • 4 months • 1 time/month • 30 min call | Usual care • Nontailored newsletter about symptom management |
Kim et al. (2011) [22] | RCT | Breast Cancer 23/22 | Lifestyle change (Tele-counseling) Synchronous | • Counseling stage-matched exercise and diet intervention + workbook | Tel | • 3 months • a weekly basis • 30 min for telephone session | • Usual care |
Galiano-Castillo et al. (2016) [23] | RCT | Breast Cancer 40/41 | Exercise program (Tele-education) Synchronous and asynchronous | • Internet-based tailored exercise program and monitoring/comments the exercise feedback through videoconference | Web | • 8 weeks Exercise • 3 sessions/weeks (nonconsecutive) Videoconference • 3 times/week • 90 min/d | Usual care • Basic exercise recommendations (written format) |
Meneses et al. (2018) [24] | RCT | Breast Cancer 21/19 | Symptom self-management (Tele-education) Synchronous | Support and early education (Education sessions in the 1st month) • Education Common concerns among BCS and emphasized self-management techniques • Education binder and tip sheets • Support call Reinforcing self-management of health and understanding of side effects | Tel | • 3 months Education session • 45 min Support session • 60 min | Support and delayed education (education sessions in the 6th month) |
Frensham et al. (2018) [25] | RCT | Mixed cancer types 51/51 | Walking intervention (Tele-monitoring) Synchronous | • Provided lifestyle information and access to online resource • Performance self-monitoring using a pedometer • Setting individualized weekly step goals using RPE and achieving the goal + online forum to share experiences and offer peer support | Web | • 3 months •Daily monitoring | Wait list • Only provided with lifestyle information and a pedometer |
Willems et al. (2017) [26] | RCT | Mixed cancer types 231/231 | CBT + PST (Tele-education) Asynchronous | • Personalized advice and tailored information in psychosocial support and promoting positive lifestyle changes • Information of the common residual problems and self-management training | Web | • 6 months • 8 modules | Wait list • Care as usual |
Freeman et al. (2015) [27] | 3-armed RCT | Breast Cancer LD 48/TD 23/Control 47 | MBT (Tele-education) Synchronous | LD • Group sessions at a community center with therapist present TD group • Therapist streamed via web during group sessions • Didactic education and interaction with group members • Participant’s presentation for long-term plan and feedback • Provided an imagery compact disc related to a weekly topic • Phone calls to encourage at-home practice | Web | • 3 months • Five 4 weekly group sessions- 25 min of didactic education during 4 sessions- 25 min of interaction with group members • Brief (<10 min) weekly phone calls | Wait list • Care as usual |
Zachariae et al. (2018) [28] | RCT | Breast Cancer 133/122 | CBTI (Tele-education) Asynchronous | • Automatically computed tailored recommendations • Online CBTI program and completing sleep diaries | Web | • 6 cores for 9 weeks • 1-week break for each core • 45–60 min for each core | Wait list • Care as usual |
Kanera et al. (2017) [29] | RCT | Mixed cancer types 231/231 | CBT (Tele- education) Asynchronous | • Personalized cancer aftercare intervention: generic information modules on the most common residual problems + feedback on their reported scores | Web | • 6 months • 8 modules | Wait list • Care as usual |
Galiano-Castillo et al. (2017) [30] | RCT | Breast Cancer 39/37 | Exercise program (Tele-education) Synchronous and asynchronous | • Tailored exercise program + individual supervision through a control platform • Instant messages, video conference sessions, telephone calls | Web | • 8 weeks • 3 sessions per week • 90 min per day • 24 exercise program sessions | Wait list • Care as usual (recommendations about PA using a written format) |
Syrjala et al. (2018) [31] | RCT | Hematopoietic cell transplantation INSPIRE + PST 115/INSPIRE 114/Control 115 | CBT + PST (Tele-education) Synchronous and asynchronous | INSPIRE + PST • INSPIRE - Psychological support, self-care tips and tools forum for survivor experiences, national and local resources • PST TH call - Problems and goal setting toward solutions INSPIRE • Only INSPIRE online intervention | Web | • 6 months • 7 INSPIRE sessions • 30 min, 3–7 PST process | Wait list • Care as usual |
Lozano-Lozano et al. (2019) [33] | Quasi-experimental one group prepost | Breast Cancer 80 | Lifestyle change (Tele-monitoring) Asynchronous | • Monitoring on PA (duration and intensity) and healthy eating (food and drink intake) + feedback • Self-recording with their own performance via the app | App | • 2 months • Daily recording | No |
McCarroll et al. (2014) [34] | Quasi-experimental one group prepost | Breast Cancer/Endometrial Cancer 50 | Lifestyle change (Tele-counseling) Asynchronous | • Exercise and nutrition counseling + real-time feedback component by the multidisciplinary team • Self-recording daily exercise and nutrition via the app | App | • 1 month • Daily recording | No |
Lee et al. (2014) [32] | RCT | Breast Cancer 29/28 | Lifestyle change (Tele-education) Asynchronous | • Assessment, education (tailored exercise and diet behavior) • Recommendation of action planning in dietary and exercise (goal setting, scheduling, keeping a diary), and automatic feedback (SMS module) | Web | • 3 months • Recording at least twice weekly • 5 education modules | • Usual care Educational booklet on exercise and diet |
3.4. Characteristics of Telehealth Intervention
3.5. Intervention Regime
3.6. Outcome Measures
3.7. Intervention and Outcome
3.7.1. Physical Activity (PA)
3.7.2. Symptom Self-Management
3.7.3. Lifestyle Behavior Change
3.7.4. Psychosocial Intervention
Cognitive Behavioral Therapy, Problem-Solving Therapy
Cognitive Behavioral Therapy for Insomnia (CBTI)
Mind–Body Training (MBT)
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Centers for Disease Control and Prevention. Supporing Cancer Survivors and Caregivers. Available online: https://www.cdc.gov/cancer/ncccp/priorities/cancer-survivor-caregiver.htm (accessed on 7 August 2020).
- Garrett, K.; Okuyama, S.; Jones, W.; Barnes, D.; Tran, Z.; Spencer, L.; Lewis, K.; Maroni, P.; Chesney, M.; Marcus, A. Bridging the transition from cancer patient to survivor: Pilot study results of the Cancer Survivor Telephone Education and Personal Support (C-STEPS) program. Patient Educ. Couns. 2013, 92, 266–272. [Google Scholar] [CrossRef] [Green Version]
- Selamat, M.H.; Loh, S.Y.; Mackenzie, L.; Vardy, J. Chemobrain experienced by breast cancer survivors: A meta-ethnography study investigating research and care implications. PLoS ONE 2014, 9, e108002. [Google Scholar] [CrossRef] [Green Version]
- Breukink, S.O.; Donovan, K.A. Physical and psychological effects of treatment on sexual functioning in colorectal cancer survivors. J. Sex Med. 2013, 10, 74–83. [Google Scholar]
- Hwang, E.J.; Lokietz, N.C.; Lozano, R.L.; Parke, M.A. Functional Deficits and Quality of Life Among Cancer Survivors: Implications for Occupational Therapy in Cancer Survivorship Care. Am. J. Occup. Ther. 2015, 69, 6906290010. [Google Scholar]
- Phillips, J.L.; Currow, D.C. Cancer as a chronic disease. Collegian 2010, 17, 47–50. [Google Scholar]
- American Occupational Therapy Association. Occupational Therapy’s Role with Health Promotion. Available online: https://www.aota.org/~/media/Corporate/Files/AboutOT/Professionals/WhatIsOT/HW/Facts/FactSheet_HealthPromotion.pdf (accessed on 31 July 2020).
- Silver, J.K.; Baima, J.; Newman, R.; Galantino, M.L.; Shockney, L.D. Cancer rehabilitation may improve function in survivors and decrease the economic burden of cancer to individuals and society. Work 2013, 46, 455–472. [Google Scholar]
- Nickelson, D.W. Telehealth and the evolving health care system: Strategic opportunities for professional psychology. Prof. Psychol. Res. Pract. 1998, 29, 527–535. [Google Scholar]
- Zundel, K.M. Telemedicine: History, applications, and impact on librarianship. Bull. Med. Libr. Assoc. 1996, 84, 71–79. [Google Scholar]
- Hersch, G.; Kao, B.; Melton, L.; Pancheri, K. Telehealth Usage by Occupational Therapy Practitioners. Am. J. Occup. Ther. 2015, 69, 6911510038. [Google Scholar]
- Kairy, D.; Lehoux, P.; Vincent, C.; Visintin, M. A systematic review of clinical outcomes, clinical process, healthcare utilization and costs associated with telerehabilitation. Disabil. Rehabil. 2009, 31, 427–447. [Google Scholar] [CrossRef]
- Steel, K.; Cox, D.; Garry, H. Therapeutic videoconferencing interventions for the treatment of long-term conditions. J. Telemed. Telecare 2011, 17, 109–117. [Google Scholar] [CrossRef]
- Cason, J. Telehealth: A rapidly developing service delivery model for occupational therapy. Int. J. Telerehabil. 2014, 6, 29–35. [Google Scholar] [CrossRef] [Green Version]
- Jana Cason, D.H.S.; Kim Hartmann, O.T.R.; Tammy Richmond, M.S. Telehealth in Occupational Therapy. Am. J. Occup. Ther. 2018, 72, 7212410059. [Google Scholar]
- Hung Kn, G.; Fong, K.N. Effects of telerehabilitation in occupational therapy practice: A systematic review. Hong Kong J. Occup. Ther. 2019, 32, 3–21. [Google Scholar] [CrossRef] [Green Version]
- Hegel, M.T.; Lyons, K.D.; Hull, J.G.; Kaufman, P.; Urquhart, L.; Li, Z.; Ahles, T.A. Feasibility study of a randomized controlled trial of a telephone-delivered problem-solving-occupational therapy intervention to reduce participation restrictions in rural breast cancer survivors undergoing chemotherapy. Psychooncology 2011, 20, 1092–1101. [Google Scholar] [CrossRef] [Green Version]
- Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G.; The, P.G. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009, 6, e1000097. [Google Scholar] [CrossRef] [Green Version]
- Physiotherapy Evidence Database. PEDro Scale. Available online: https://www.pedro.org.au/english/downloads/pedro-scale/ (accessed on 10 August 2020).
- McCarthy, M.S.; Matthews, E.E.; Battaglia, C.; Meek, P.M. Feasibility of a Telemedicine-Delivered Cognitive Behavioral Therapy for Insomnia in Rural Breast Cancer Survivors. Oncol. Nurs. Forum 2018, 45, 607–618. [Google Scholar] [CrossRef]
- Skolarus, T.A.; Metreger, T.; Wittmann, D.; Hwang, S.; Kim, H.M.; Grubb, R.L., 3rd; Gingrich, J.R.; Zhu, H.; Piette, J.D.; Hawley, S.T. Self-Management in Long-Term Prostate Cancer Survivors: A Randomized, Controlled Trial. J. Clin. Oncol. 2019, 37, 1326–1335. [Google Scholar] [CrossRef]
- Kim, S.H.; Shin, M.S.; Lee, H.S.; Lee, E.S.; Ro, J.S.; Kang, H.S.; Kim, S.W.; Lee, W.H.; Kim, H.S.; Kim, C.J.; et al. Randomized pilot test of a simultaneous stage-matched exercise and diet intervention for breast cancer survivors. Oncol. Nurs. Forum. 2011, 38, E97–E106. [Google Scholar] [CrossRef] [Green Version]
- Galiano-Castillo, N.; Cantarero-Villanueva, I.; Fernández-Lao, C.; Ariza-García, A.; Díaz-Rodríguez, L.; Del-Moral-Ávila, R.; Arroyo-Morales, M. Telehealth system: A randomized controlled trial evaluating the impact of an internet-based exercise intervention on quality of life, pain, muscle strength, and fatigue in breast cancer survivors. Cancer 2016, 122, 3166–3174. [Google Scholar] [CrossRef]
- Meneses, K.; Gisiger-Camata, S.; Benz, R.; Raju, D.; Bail, J.R.; Benitez, T.J.; Pekmezi, D.; McNees, P. Telehealth intervention for Latina breast cancer survivors: A pilot. Womens Health 2018, 14, 1745506518778721. [Google Scholar]
- Frensham, L.J.; Parfitt, G.; Dollman, J. Effect of a 12-Week Online Walking Intervention on Health and Quality of Life in Cancer Survivors: A Quasi-Randomized Controlled Trial. Int. J. Environ. Res. Public Health 2018, 15, 2081. [Google Scholar] [CrossRef] [Green Version]
- Willems, R.A.; Bolman, C.A.; Mesters, I.; Kanera, I.M.; Beaulen, A.A.; Lechner, L. Short-term effectiveness of a web-based tailored intervention for cancer survivors on quality of life, anxiety, depression, and fatigue: Randomized controlled trial. Psychooncology 2017, 26, 222–230. [Google Scholar]
- Freeman, L.W.; White, R.; Ratcliff, C.G.; Sutton, S.; Stewart, M.; Palmer, J.L.; Link, J.; Cohen, L. A randomized trial comparing live and telemedicine deliveries of an imagery-based behavioral intervention for breast cancer survivors: Reducing symptoms and barriers to care. Psychooncology 2015, 24, 910–918. [Google Scholar] [PubMed] [Green Version]
- Zachariae, R.; Amidi, A.; Damholdt, M.F.; Clausen, C.D.R.; Dahlgaard, J.; Lord, H.; Thorndike, F.P.; Ritterband, L.M. Internet-Delivered Cognitive Behavioral Therapy for Insomnia in Breast Cancer Survivors: A Randomized Controlled Trial. J. Natl. Cancer Inst. 2018, 110, 880–887. [Google Scholar]
- Kanera, I.M.; Willems, R.A.; Bolman, C.A.; Mesters, I.; Verboon, P.; Lechner, L. Long-term effects of a web-based cancer aftercare intervention on moderate physical activity and vegetable consumption among early cancer survivors: A randomized controlled trial. Int. J. Behav. Nutr. Phys. Act 2017, 14, 19. [Google Scholar]
- Galiano-Castillo, N.; Arroyo-Morales, M.; Lozano-Lozano, M.; Fernández-Lao, C.; Martín-Martín, L.; Del-Moral-Ávila, R.; Cantarero-Villanueva, I. Effect of an Internet-based telehealth system on functional capacity and cognition in breast cancer survivors: A secondary analysis of a randomized controlled trial. Support Care Cancer 2017, 25, 3551–3559. [Google Scholar]
- Syrjala, K.L.; Yi, J.C.; Artherholt, S.B.; Romano, J.M.; Crouch, M.L.; Fiscalini, A.S.; Hegel, M.T.; Flowers, M.E.D.; Martin, P.J.; Leisenring, W.M. An online randomized controlled trial, with or without problem-solving treatment, for long-term cancer survivors after hematopoietic cell transplantation. J. Cancer Surviv. 2018, 12, 560–570. [Google Scholar]
- Lee, M.K.; Yun, Y.H.; Park, H.A.; Lee, E.S.; Jung, K.H.; Noh, D.Y. A Web-based self-management exercise and diet intervention for breast cancer survivors: Pilot randomized controlled trial. Int. J. Nurs. Stud. 2014, 51, 1557–1567. [Google Scholar]
- Lozano-Lozano, M.; Cantarero-Villanueva, I.; Martin-Martin, L.; Galiano-Castillo, N.; Sanchez, M.J.; Fernández-Lao, C.; Postigo-Martin, P.; Arroyo-Morales, M. A Mobile System to Improve Quality of Life Via Energy Balance in Breast Cancer Survivors (BENECA mHealth): Prospective Test-Retest Quasiexperimental Feasibility Study. JMIR mHealth uHealth 2019, 7, e14136. [Google Scholar]
- McCarroll, M.L.; Armbruster, S.; Pohle-Krauza, R.J.; Lyzen, A.M.; Min, S.; Nash, D.W.; Roulette, G.D.; Andrews, S.J.; von Gruenigen, V.E. Feasibility of a lifestyle intervention for overweight/obese endometrial and breast cancer survivors using an interactive mobile application. Gynecol. Oncol. 2015, 137, 508–515. [Google Scholar] [CrossRef] [PubMed]
- Willems, R.A.; Bolman, C.A.; Mesters, I.; Kanera, I.M.; Beaulen, A.A.; Lechner, L. The Kanker Nazorg Wijzer (Cancer Aftercare Guide) protocol: The systematic development of a web-based computer tailored intervention providing psychosocial and lifestyle support for cancer survivors. BMC Cancer 2015, 15, 580. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Syrjala, K.L.; Stover, A.C.; Yi, J.C.; Artherholt, S.B.; Romano, E.M.; Schoch, G.; Stewart, S.; Flowers, M.E. Development and implementation of an Internet-based survivorship care program for cancer survivors treated with hematopoietic stem cell transplantation. J. Cancer Surviv. 2011, 5, 292–304. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hunter, E.G.; Gibson, R.W.; Arbesman, M.; D’Amico, M. Systematic Review of Occupational Therapy and Adult Cancer Rehabilitation: Part 1. Impact of Physical Activity and Symptom Management Interventions. Am. J. Occup. Ther. 2017, 71, 7102100030. [Google Scholar] [CrossRef] [PubMed]
- Spence, R.R.; Heesch, K.C.; Brown, W.J. Exercise and cancer rehabilitation: A systematic review. Cancer Treat. Rev. 2010, 36, 185–194. [Google Scholar] [CrossRef] [Green Version]
- Hofman, M.; Ryan, J.L.; Figueroa-Moseley, C.D.; Jean-Pierre, P.; Morrow, G.R. Cancer-related fatigue: The scale of the problem. Oncologist 2007, 12, 4–10. [Google Scholar] [CrossRef] [Green Version]
- Foster, C.; Breckons, M.; Cotterell, P.; Barbosa, D.; Calman, L.; Corner, J.; Fenlon, D.; Foster, R.; Grimmett, C.; Richardson, A.; et al. Cancer survivors’ self-efficacy to self-manage in the year following primary treatment. J. Cancer Surviv. 2015, 9, 11–19. [Google Scholar] [CrossRef] [Green Version]
- Chou, W.Y.; Liu, B.; Post, S.; Hesse, B. Health-related Internet use among cancer survivors: Data from the Health Information National Trends Survey, 2003–2008. J. Cancer Surviv. 2011, 5, 263–270. [Google Scholar] [CrossRef]
- Johnson, J.A.; Rash, J.A.; Campbell, T.S.; Savard, J.; Gehrman, P.R.; Perlis, M.; Carlson, L.E.; Garland, S.N. A systematic review and meta-analysis of randomized controlled trials of cognitive behavior therapy for insomnia (CBT-I) in cancer survivors. Sleep Med. Rev. 2016, 27, 20–28. [Google Scholar] [CrossRef]
- Roffe, L.; Schmidt, K.; Ernst, E. A systematic review of guided imagery as an adjuvant cancer therapy. Psychooncology 2005, 14, 607–617. [Google Scholar] [CrossRef] [Green Version]
- National Cancer Institute. Theory at a Glance: A Guide for Health Promotion Practice. Available online: http://www.sbccimplementationkits.org/demandrmnch/wp-content/uploads/2014/02/Theory-at-a-Glance-A-Guide-For-Health-Promotion-Practice.pdf (accessed on 31 July 2020).
Author (Year) | Outcome Measures | Results | Other Effects | |||
---|---|---|---|---|---|---|
Pre | Post | Assessment | ||||
T1 | T2 | |||||
McCarthy et al. (2018) [20] | BL | 6 weeks | • CSD (TST, SE, SOL, WASO, NA) • ISI • DBAS-16 • EORTC QLQ-C30 • R-PFS • HADS • MRS | • Significant improvements in sleep outcomes, including SE, SOL, WASO, TST, and NA (p < 0.001), QOL and daily functioning • Significant decreases in ISI and DBAS (p < 0.001) • Significant improvements in QOL (p < 0.001) and significant decrease in fatigue (p = 0.000) • No significant changes in anxiety (p = 0.417) or depression (p = 0.16) • Significant decrease in total menopausal symptoms (p < 0.001) | ||
Skolarus et al. (2019) [21] | BL | 5 months | 12 months | • EPIC •Confidence in self-management • Cancer control and outlook • PEPPI • Coping appraisal | • Significantly higher in all EPIC domain areas in the intervention group from baseline at 5 and 12 months (p < 0.001) but no significant differences between groups maintained at 12 months • Improvement in symptom focus area domains in the intervention group from baseline at 5 and 12 months • No differences in confidence in symptom self-management, cancer control and outlook, or PEPPI at 5 months • higher coping appraisal in the intervention group at 5 months (p = 0.02) | • Satisfaction rate with the program and intention to recommend: 80% or more |
Kim et al. (2011) [22] | BL | 3 months | •Stage of motivational readiness for exercise and diet • IPAQ • DQI • EORTC QLQ-C30 • HADS • BFI | • Significantly greater improvement in motivational readiness for exercise and diet, emotional functioning, fatigue, and depression in the intervention group • Significantly worsened DQI in the intervention group compared to that in the control group (p = 0.005) | • Adherence rate in IG: 94% for exercise, 91% for diet • Helpfulness rate in IG: 95% • Appropriateness of contents in IG: 96% for duration, 91% for frequency | |
Galiano-Castillo et al. (2016) [23] | BL | 2 months | 6 months | • EORTC QLQ-C30 • BPI • Isometric handgrip strength • Isometric abdominal strength • Isometric back strength • Lower body strength • R-PFS | • Significantly improved global health status, physical, role, cognitive functioning, and arm symptoms scores (all, p < 0.01) as well as pain severity (p = 0.001) and pain interference (p = 0.045) in the telerehabilitation group compared to the control group at 2 months • Significant improvements in affected and nonaffected side handgrip (both, p = 0.006); abdominal, back, and lower body strength (all, p < 0.01), and total fatigue (p < 0.001) in the telerehabilitation group at 2 months • These findings were maintained after 6-months of follow-up | • Adherence rate: 93.9% • Satisfaction rate in TH group: 97.8% |
Meneses et al. (2018) [24] | BL | 3 months | 6 months | • SF-36 • CES-D | • Similar scores in physical and emotional well-being over time • Improved pain levels over 6 months (high effect size) • Improved fatigue scores at 3 months (moderate effect size) • Elevated depressive symptoms but no clinically significant change | |
Frensham et al. (2018) [25] | BL | 3 months | 6 months | •Physical Activity using pedometer • Anthropometry (standing stretch stature, body weight, waist and hip girths) • Physiological measures (blood pressure) • 6MWT • SF-36 | • Significant improvements in physical fitness (p < 0.01), systolic blood pressure (p < 0.01), diastolic blood pressure (p < 0.01), waist girth (p < 0.01), mental health (p < 0.05), social functioning (p < 0.01), and general health (p < 0.01) but an increase in bodily pain (p < 0.01) from baseline to 3 and 6 months | |
Willems et al. (2017) [26] | BL | 6 months | • EORTC QLQ-C30 • HADS • CIS | • Significant effect on increasing emotional (p = 0.022,) and social functioning (p = 0.011) and decreasing depression (p = 0.007) and fatigue (p = 0.020) in the intervention group but less strong evidence | • Average use of module: 2.22 ± 1.58 • Average time between first login and last use of a module: 10.67 ± 6.78 weeks • Adherence rate: 83.9% | |
Freeman et al. (2015) [27] | BL | 1 months | 3 months | • SF-36 • FACT-B • FACIT-F • FACT-Cog • FACIT-Sp-Ex • BSI-GSI • PSQI | • Significant improvement in fatigue, cognitive dysfunction, sleep disturbance, and health-related and breast cancer-related QOL in LD and TD compared to WL at 3 months (p < 0.01) • No differences between LD and TD at 3 months | |
Zachariae et al. (2018) [28] | BL | 9 weeks | 15 weeks | • ISI • FACIT-F • Sleep diary (SOL, NA, WASO, EMA, TIB, TST, SE, sleep aids) | • Statistically significant improvement in all sleep-related outcomes from pre- to postintervention (p < 0.02) • Effect sizes (Cohen’s d) ranged from 0.33 (95% CI = 0.06 to 0.61) for wake after sleep onset to 1.17 (95% CI = 0.87 to 1.47) for insomnia severity • Maintained improvements for outcomes measured at follow-up (d = 0.66–1.10) | • Number of cores completed in TH group: 4.1 ± 2.5/6 • No differences between groups in the mean number of completed sleep diaries at baseline or postintervention |
Kanera et al. (2017) [29] | BL | 6 months | 12 months | • SQUASH • Vegetable consumption (number of days per week, number of vegetable servings per day) | • Significant effect after 12 months for moderate physical activity (complete cases: p = 0.010; intention-to-treat: p = 0.011) in the intervention group • No significant intervention effect after 12 months for vegetable consumption (complete cases: p = 0.121; intention-to-treat: p = 0.132) in the intervention group | • Intervention effect among participants aged younger than 57 years (p = 0.000) |
Galiano-Castillo et al. (2017) [30] | BL | 8 weeks | 6 months | • 6MWT • ACT • TMT | • Significantly improved distances (p < 0.001) and percentages of predicted 6 min walk test (p < 0.001) in the intervention group compared to the control; findings maintained after 6 months (p = 0.001; p = 0.002) • Significant improvement in the number of consonants recalled in the intervention group compared to that in the control group (p = 0.04); finding maintained after 6 months (p = 0.02) | |
Syrjala et al. (2018) [31] | BL | 6 months | • CTXD • SCL-90-R • SF-36 • FSI | • No differences in the mean change in aggregated outcomes in distress, depression, fatigue, and physical function among three groups (p = 0.30) • Analyses of participants with impaired scores showed significantly improved distress for INSPIRE + PST compared to controls (p = 0.032) • A trend toward improvement in distress in the INSPIRE alone group (p = 0.075), no differences between intervention arms and controls in rates of change in depressive symptoms, fatigue, or physical functioning (RR 0.6 to 1.4) • Marginal benefit in distress with the addition of TH PST, particularly for those who viewed the website or were age 40 years or older | ||
Lozano- Lozano et al. (2019) [33] | BL | 2 months | • EORTC QLQ-C30 • SEPA • PA using accelerometry • Anthropometrics (BMI, percentage of fat mass, bone mineral density, height, weight) | • Significant improvements in QOL (p < 0.001): moderate to large effects • Significant improvements in SEPA scores (p < 0.001) • Daily moderate-to-vigorous PA (p = 0.04) • Reduced body weight and BMI (both, p < 0.001). | • Use rate: 76%, • Adoption rate: 69% • Patients’ perception of app quality: satisfaction (positive NPS) • Barriers: absence of some food items • Facilitators: relevant information to the patient | |
McCarroll et al. (2014) [34] | BL | 1 months | • FACT-G • WEL •Anthropometrics (BMI, weight, waist circumference) • Daily food intake • PA minutes | • Significant reductions in anthropometric factors including weight, BMI, and waist circumference (p < 0.0006) between pre- and postintervention • Significant improvement in total WEL score (p = 0.043) between pre- and postintervention • No significant differences in FACT-G, macronutrient consumption, and PA patterns | ||
Lee et al. (2014) [32] | BL | 3 months | • Intensity aerobic exercise • Intake of F&V • DQI • EORTC QLQ-C30 • HADS • BFI • Stage of change • Perceived self-efficacy | • Significantly increased moderate-intensity aerobic exercise for at least 150 min per week (p < 0.0001) and eating five servings of F&V per day (p = 0.001) in the intervention group • Greater improvement in overall diet quality in the intervention group compared to that in the control group (p = 0.001) • Significantly higher proportions of patients in whom protein and calcium intake met the RDA in the intervention group than those in the control group (respectively, p = 0.016, 0.003) • Significantly improved physical functioning (p = 0.023) and appetite loss (p = 0.034) of QOL, severity of fatigue (p = 0.032) in the intervention group compared to those in the control group • Significant improvement in stage of behavior change for exercise (p < 0.0001) and F&V consumption (p = 0.029) in the intervention group than those in the control group • Significant difference in self-efficacy for exercise management and F&V intake (p = 0.024 and p = 0.023, respectively) | • Adherence rate: 89% • Positive evaluations of the contents, the IT-supported delivery method, and the system’s usefulness |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Hwang, N.-K.; Jung, Y.-J.; Park, J.-S. Information and Communications Technology-Based Telehealth Approach for Occupational Therapy Interventions for Cancer Survivors: A Systematic Review. Healthcare 2020, 8, 355. https://doi.org/10.3390/healthcare8040355
Hwang N-K, Jung Y-J, Park J-S. Information and Communications Technology-Based Telehealth Approach for Occupational Therapy Interventions for Cancer Survivors: A Systematic Review. Healthcare. 2020; 8(4):355. https://doi.org/10.3390/healthcare8040355
Chicago/Turabian StyleHwang, Na-Kyoung, Young-Jin Jung, and Ji-Su Park. 2020. "Information and Communications Technology-Based Telehealth Approach for Occupational Therapy Interventions for Cancer Survivors: A Systematic Review" Healthcare 8, no. 4: 355. https://doi.org/10.3390/healthcare8040355