Cited by 176Cancer survivorship and careMobile Health and mHealth ApplicationsDigital Mental Health Interventions

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Role of eHealth application Oncokompas in supporting self-management of symptoms and health-related quality of life in cancer survivors: a randomised, controlled trial

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van der Hout, Anja, van Uden-Kraan, Cornelia F, Holtmaat, Karen, Jansen, Femke, Lissenberg-Witte, Birgit I, Nieuwenhuijzen, Grard A P, Hardillo, José A, Baatenburg de Jong, Robert J, Tiren-Verbeet, Nicolette L, Sommeijer, Dirkje W, de Heer, Koen, Schaar, Cees G, Sedee, Robert-Jan E, Bosscha, Koop, van den Brekel, Michiel W M, Petersen, Japke F, Westerman, Matthijs, Honings, Jimmie, Takes, Robert P, Houtenbos, Ilse, van den Broek, Wim T, de Bree, Remco, Jansen, Patricia, Eerenstein, Simone E J, Leemans, C René, Zijlstra, Josée M, Cuijpers, Pim, van de Poll-Franse, Lonneke V, Verdonck-de Leeuw, Irma M·2020·The Lancet Oncology

DOI 10.1016/s1470-2045(19)30675-8

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Abstract

Background Knowledge about the efficacy of behavioural intervention technologies that can be used by cancer survivors independently from a health-care provider is scarce. We aimed to assess the efficacy, reach, and usage of Oncokompas, a web-based eHealth application that supports survivors in self-management by monitoring health-related quality of life (HRQOL) and cancer-generic and tumour-specific symptoms and obtaining tailored feedback with a personalised overview of supportive care options.Methods In this non-blinded, randomised, controlled trial, we recruited patients treated at 14 hospitals in the Netherlands for head and neck cancer, colorectal cancer, breast cancer, Hodgkin lymphoma, or non-Hodgkin lymphoma. Adult survivors (aged ≥18 years) were recruited through the Netherlands Cancer Registry (NCR) and invited by their treating physician through the Patient Reported Outcomes Following Initial Treatment and Long term Evaluation of Survivorship (PROFILES) registry. Participants were randomly assigned (1:1) by an independent researcher to the intervention group (access to Oncokompas) or control group (access to Oncokompas after 6 months), by use of block randomisation (block length of 68), stratified by tumour type. The primary outcome was patient activation (knowledge, skills, and confidence for self-management), assessed at baseline, post-intervention, and 3-month and 6-month follow-up. Linear mixed models (intention-to-treat) were used to assess group differences over time from baseline to 6-month follow-up. The trial is registered in the Netherlands Trial Register, NTR5774 and is completed.Findings Between Oct 12, 2016, and May 24, 2018, 625 (21%) of 2953 survivors assessed for eligibility were recruited and randomly assigned to the intervention (320) or control group (305). Median follow-up was 6 months (IQR 6-6). Patient activation was not significantly different between intervention and control group over time (difference at 6-month follow-up 1·7 [95% CI -0·8-4·1], p=0·41).Interpretation Oncokompas did not improve the amount of knowledge, skills, and confidence for self-management in cancer survivors. This study contributes to the evidence for the development of tailored strategies for development and implementation of behavioural intervention technologies among cancer survivors.Funding Dutch Cancer Society (KWF Kankerbestrijding).

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Personalization in digital health interventions for older adults with cancer: A scoping review
Hwang, M., & Jiang, Y. (2023) · Journal of Geriatric Oncology · doi:10.1016/j.jgo.2023.101652 · Cited by 23
The role of self-management in cancer survivorship care
Girgis, A. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(19)30715-6 · Cited by 20
Effect of mobile health (mHealth) on improving anxiety, depression and quality of life in cancer patients: A systematic review and meta -analysis
Zhang, X., Sun, S., Jiangenuer, L., Zhao, P., Lei, H., Xu, Z. Q., & Wang, Z. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.01.016 · Cited by 26
Exploring supportive care and information needs through a proposed eHealth application among melanoma patients undergoing systemic therapy: a qualitative study
Fraterman, I., Glaser, S. L. C., Wilgenhof, S., Medlock, S. K., Mallo, H. A., Ronald Cornet, A., van de Poll-Franse, L. V., & Boekhout, A. H. (2022) · Supportive Care in Cancer · doi:10.1007/s00520-022-07133-z · Cited by 21
“A recent quantitative trial among 625 cancer patients showed that a web-based eHealth application, facilitating monitoring of symptoms and HRQoL, as well as providing tailored feedback and supportive care options, did not improve knowledge, skills, nor confidence for self-management [35].”
Background
Interactive digital tools to support empowerment of people with cancer: a systematic literature review
Tuominen, L., Leino-Kilpi, H., Poraharju, J., Cabutto, D., Carrion, C., Lehtiö, L., Moretó, S., Stolt, M., Sulosaari, V., & Virtanen, H. (2024) · Supportive Care in Cancer · doi:10.1007/s00520-024-08545-9 · Cited by 20
“Several activities have been included in the tools such as symptom-monitoring [25, 29, 32, 34, 40, 41, 43, 44, 49, 50, 54, 58, 61, 63], self-assessment of health-related issues [28–30, 34, 36, 38, 40, 41, 44, 45, 49, 52, 53, 57–60], exercises [26, 27, 34, 38, 48, 57, 60], action plans [35–37, 52,…”
BackgroundMethodInfluential
Filling the gaps of patient information needs and information perception in chronic myeloid leukemia with the patient-physician co-produced web-based platform CMyLife
Ector, G. I. C. G., Verweij, L., Hermens, R., & Blijlevens, N. M. A. (2021) · Patient Education and Counseling · doi:10.1016/j.pec.2021.06.025 · Cited by 20
Availability and use of web-based interventions for patients with head and neck cancer: a scoping review
Kelly, R. H., Gordon, P. C., Thompson, R., & Semple, C. J. (2022) · Journal of Cancer Survivorship · doi:10.1007/s11764-022-01168-1 · Cited by 20
Implementing a PROACTive Care Pathway to Empower and Support Survivors of Breast Cancer
Franzoi, M. A., Degousée, L., Martin, E., Semedo, P. M., Aupomerol, M., Soldato, D., Di Meglio, A., Chiodi, C., Barbier, A., Chaouachi, H., et al. (2023) · JCO Oncology Practice · doi:10.1200/op.23.00016 · Cited by 18
Telehealth Interventions in Head and Neck Cancer Patients
Caputo, M. P., Rodriguez, C. S., Padhya, T., & Mifsud, M. J. (2022) · Cancer Nursing · doi:10.1097/ncc.0000000000001130 · Cited by 20
Effects of Patient-Reported Outcome Tracking and Health Information Provision via Remote Patient Monitoring Software on Patient Outcomes in Oncology Care: A Systematic Review and Meta-Analysis
Wang, T., Ho, M., Tong, M. C. F., Chow, J. C.-H., Voss, J. G., & Lin, C. (2023) · Seminars in Oncology Nursing · doi:10.1016/j.soncn.2023.151473 · Cited by 19
A systematic review of smartphone applications for cancer survivors
Changrani, K., Chima, S., Sharma, A. K., Han, G.-G., Sharma, A., McNamara, M., Jefford, M., Emery, J. D., & Druce, P. (2023) · Journal of Cancer Survivorship · doi:10.1007/s11764-023-01435-9 · Cited by 20
“The RCTs demonstrated no significant changes to the primary study outcomes of general health and Health-Related Quality of Life (HRQoL) [30, 32], but one RCT found an improvement in tumour-specific symptom burden for head and neck survivors in the intervention arm [32].”
Influential
Impact of connected health interventions on psychological wellbeing and quality of life in patients with cancer: A systematic review and meta‐analysis
Gitonga, I., Desmond, D. M., Duda, N., & Maguire, R. (2022) · Psycho-Oncology · doi:10.1002/pon.6019 · Cited by 17
Leveraging Telehealth for the Management of Breast Cancer: A Systematic Review
Kruse, C. S., Pacheco, G. J., Vargas, B., Lozano, N., Castro, S., & Gattu, M. (2022) · Healthcare · doi:10.3390/healthcare10102015 · Cited by 18
“Only a few studies reported non-statistically significant findings [23,24,26,33,38,41].”
BackgroundInfluential
Electronic health intervention to manage symptoms of immunotherapy in patients with cancer (SOFIA): Results from a randomized controlled pilot trial
Sauer, C., Zschäbitz, S., Krauß, J., Walle, T., Haag, G. M., Jäger, D., Hiller, K., Bugaj, T. J., Friederich, H., & Maatouk, I. (2024) · Cancer · doi:10.1002/cncr.35300 · Cited by 20
“The recruitment rate of 30% is similar to or higher than in other studies investigating eHealth interventions in patients with advanced cancer or survivors assessing ePROs 38,39 but lower than in studies not including ePROs.”
Result
eHealth Interventions for Dutch Cancer Care: Systematic Review Using the Triple Aim Lens
van Deursen, L., Versluis, A., van der Vaart, R., Standaar, L. M. B., Struijs, J. N., Chavannes, N. H., & Aardoom, J. J. (2022) · JMIR Cancer · doi:10.2196/37093 · Cited by 15
eHealth interventions to support colorectal cancer patients’ self-management after discharge from surgery—an integrative literature review
Husebø, A. L. M., Søreide, J., Kørner, H., Storm, M., Wathne, H., Richardson, A., Morken, I., Urstad, K. H., Nordfonn, O. K., & Karlsen, B. (2023) · Supportive Care in Cancer · doi:10.1007/s00520-023-08191-7 · Cited by 23
“In studies reporting the adherence percentage, adherence was established as 62–100% [36, 39, 41, 47, 48].”
BackgroundInfluential
The need for quality self-management support in cancer care
Foster, C. L. (2021) · BMJ Quality & Safety · doi:10.1136/bmjqs-2021-013366 · Cited by 16
Evaluation of Mobile Health Technology Interventions for the Postdischarge Management of Patients With Head and Neck Cancer: Scoping Review
Li, Y., Chen, W., Liang, Y., Yang, L., & Hou, L. (2023) · JMIR mhealth and uhealth · doi:10.2196/49051 · Cited by 15
“…6 main categories: (1) symptom monitoring and assessment reports (n=8, 61.5% [15,16,19,20,22-25]), (2) home rehabilitation training (n=4, 30.8% [13,16-18]), (3) medical health information access (n=7, 53.8% [13,14,16,17,22-24]), (4) telehealth support (n=7, 53.8% [14,18-21,23, 25 Table 2. mHealth…”
BackgroundMethodInfluential
A systematic review on eHealth technology personalization approaches
ten Klooster, I., Kip, H., van Gemert‐Pijnen, J. E. W. C., Crutzen, R., & Kelders, S. M. (2024) · iScience · doi:10.1016/j.isci.2024.110771 · Cited by 20
Digitalized healthcare for head and neck cancer patients
Bouaoud, J., Bertolus, C., Zrounba, P., & Saintigny, P. (2020) · Journal of Stomatology Oral and Maxillofacial Surgery · doi:10.1016/j.jormas.2020.11.003 · Cited by 17
Practice of Telehealth in Otolaryngology: A Scoping Review in the Era of COVID‐19
Gonzalez, J. N., Axiotakis, L. G., Yu, V. X., Gudis, D. A., & Overdevest, J. B. (2021) · Otolaryngology · doi:10.1177/01945998211013751 · Cited by 15
Effect of patient-reported outcomes as a dialogue-based tool in cancer consultations on patient self-management and health-related quality of life: a clinical, controlled trial
Skovlund, P. C., Thaysen, H. V., Schmidt, H., Alsner, J., Hjollund, N. H., Lomborg, K. E., & Nielsen, B. K. (2021) · Acta Oncologica · doi:10.1080/0284186x.2021.1962972 · Cited by 15
“The found effect on HRQoL and not on PAM is similar to another study aiming at supporting patients in self-management by reporting and monitoring symptoms over time [45].”
Result
Electronic patient-reported outcomes as digital therapeutics for patients with cancer: a narrative review of current practices and future directions
Yamaguchi, K. D., Higashiyama, N., Umemiya, M., Inayama, Y., Koike, A., Ueda, A., Mizuno, R., Taki, M., Yamanoi, K., Murakami, R., et al. (2024) · International Journal of Clinical Oncology · doi:10.1007/s10147-024-02651-8 · Cited by 14
“Oncokompas, a Dutch-approved ePRO, is divided into three components: Measure, Learner, and Act components [59].”
Implementation of electronic prospective surveillance models in cancer care: a scoping review
Lopez, C. J., Teggart, K., Ahmed, M., Borhani, A., Kong, J., Fazelzad, R., Langelier, D. M., Campbell, K. L., Reiman, T., Greenland, J., et al. (2023) · Implementation Science · doi:10.1186/s13012-023-01265-4 · Cited by 15
“Some interventions allowed clinicians to personalize the frequency of reporting for patients or asked patients to report based on their preference (n = 3, 7%) [28, 46, 70].”
BackgroundMethodInfluential
Feasibility of an exercise-nutrition-psychology integrated rehabilitation model based on mobile health and virtual reality for cancer patients: a single-center, single-arm, prospective phase II study
Yuan, Q., Wang, M., Xue, Y., Yue, J., Qi, C., Shang, W., Meng, W., Zhu, W., Pu, X., Li, D., et al. (2024) · BMC Palliative Care · doi:10.1186/s12904-024-01487-3 · Cited by 13
“Additionally, we will investigate the efficacy of personalized, long-term exercise interventions, particularly targeting hand strength training and cognitive fatigue [40].”
Background
Development of the HT&Me intervention to support women with breast cancer to adhere to adjuvant endocrine therapy and improve quality of life
Stewart, S.-J., Slodkowska‐Barabasz, J., Hackshaw‐McGeagh, L., Moon, Z., Brett, J., Wells, M., Brown, M. C., Turner, M., Horne, R., Fenlon, D., et al. (2023) · The Breast · doi:10.1016/j.breast.2023.05.007 · Cited by 14
The Head and Neck Survivorship Tool (HN-STAR) Trial (WF-1805CD): A protocol for a cluster-randomized, hybrid effectiveness-implementation, pragmatic trial to improve the follow-up care of head and neck cancer survivors
Salz, T., Ostroff, J. S., Nightingale, C. L., Atkinson, T. M., Davidson, E. C., Jinna, S., Kriplani, A., Lesser, G. J., Lynch, K. A., Mayer, D. K., et al. (2021) · Contemporary Clinical Trials · doi:10.1016/j.cct.2021.106448 · Cited by 12
A multicenter randomized trial for quality of life evaluation by non-invasive intelligent tools during post-curative treatment follow-up for head and neck cancer: Clinical study protocol
Cavalieri, S., Vener, C., LeBlanc, M., Lopez-Perez, L., Fico, G., Resteghini, C., Monzani, D., Marton, G., Pravettoni, G., Moreira‐Soares, M., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1048593 · Cited by 12
Effects of internet-based digital health interventions on the physical activity and quality of life of colorectal cancer survivors: a systematic review and meta-analysis
Su, C., Guo, S., & Kuo, Y. (2024) · Supportive Care in Cancer · doi:10.1007/s00520-024-08369-7 · Cited by 16
“In three studies [19, 22, 25] including 1387 patients, the SMD in QoL at 6 months between the experimental and control groups was 0.11 and was significant when determined using the fixed model (95% CI = 0.01 to 0.22, I 2 = 8%, P = 0.34; Fig.”
Influential
Pushing towards ehealth for iraqi hypertensives: an integrated class association rules into SECI model
Aljuboori, A., Tawfeeq, L. A., & Al-Karawi, K. A. (2021) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v22.i1.pp522-533 · Cited by 11
“However, the use of self-management and education in the healthcare field can be aided by a range of practices known as knowledge management (KM) [3].”
Background
Impact of a mobile health intervention based on multi-theory model of health behavior change on self-management in patients with differentiated thyroid cancer: protocol for a randomized controlled trial
Jiang, Y., Sun, X., Jiang, M., Min, H., Wang, J., Fu, X., Qi, J., Yu, Z., Zhu, X., & Wu, Y. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1327442 · Cited by 14
Digital solutions supporting the quality-of-life of European cancer patients and their caregivers: a systematic literature review
Ancona, C., Caroppo, E., & Lellis, P. D. (2025) · Health and Technology · doi:10.1007/s12553-025-00942-2 · Cited by 19
Symptom monitoring in cancer and fully automated advice on supportive care: Patients' perspectives on self‐management strategies and the eHealth self‐management application Oncokompas
Schuit, A. S., van Zwieten, V., Holtmaat, K., Cuijpers, P. J., Eerenstein, S. E. J., Leemans, C. R., Vergeer, M. R., Voortman, J., Karagozoglu, K. H., van Weert, S., et al. (2021) · European Journal of Cancer Care · doi:10.1111/ecc.13497 · Cited by 10
Self-citation
Cost-Utility of the eHealth Application ‘Oncokompas’, Supporting Incurably Ill Cancer Patients to Self-Manage Their Cancer-Related Symptoms: Results of a Randomized Controlled Trial
Schuit, A. S., Holtmaat, K., Coupé, V. M. H., Eerenstein, S. E. J., Zijlstra, J. M., Eeltink, C., Becker‐Commissaris, A., van Zuylen, L., Linde, M. E. V., van Oordt, C. W. M. D. H., et al. (2022) · Current Oncology · doi:10.3390/curroncol29090486 · Cited by 12
“The content of Oncokompas for use in cancer survivorship care is developed for survivors of different cancer types specifically [8,30] (e.”
BackgroundSelf-citation
Long-Term Follow-Up Care After Treatment for Primary Breast Cancer: Strategies and Considerations
Franzoi, M. A., Janni, W. J., Erdmann-Sager, J., Kline‐Quiroz, C. M., Schäffler, H., Pfister, K., Fazzalari, A., & Vaz-Luís, I. (2025) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk-25-473472 · Cited by 10
Improving access to cancer information and supportive care services: A systematic review of mechanisms applied to link people with cancer to psychosocial supportive care services
WHITE, V. M., Pejoski, N., Vella, E., Skaczkowski, G., Ugalde, A., Yuen, E. Y. N., Livingston, P. M., & Wilson, C. J. (2021) · Psycho-Oncology · doi:10.1002/pon.5744 · Cited by 10
Informational support for depression and quality of life improvements in older patients with cancer: a systematic review and meta-analysis
Yang, W., Geng, G., Hua, J., Min, C., & Geng, Z. (2021) · Supportive Care in Cancer · doi:10.1007/s00520-021-06494-1 · Cited by 10
“Two trials, including 506 participants, found a significant difference in the QOL favoring the intervention group after concluding their protocols, either in both the summary score QLQ-C30 [43] or in its role functioning only [45].”
BackgroundMethodInfluential
Patient and physician shared decision-making behaviors in oncology: Evidence on adequate measurement properties of the iSHARE questionnaires
Bomhof‐Roordink, H., Stiggelbout, A. M., Gärtner, F. R., Portielje, J. E. A., de Kroon, C. D., Peeters, K. C. M. J., Neelis, K. J., Dekker, J. W. T., van der Weijden, T., Pieterse, A. H., et al. (2021) · Patient Education and Counseling · doi:10.1016/j.pec.2021.08.034 · Cited by 10
Individualised follow-up for head and neck cancer—design of a prospective cohort study to assess its feasibility
van de Weerd, C., van Tol‐Geerdink, J. J., van den Broek, G. B., Kaanders, J. H. A. M., Marres, H. A. M., Hermens, R., & Takes, R. P. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-068750 · Cited by 10
Self-citation
The Acceptance and Use of Digital Technologies for Self-Reporting Medication Safety Events After Care Transitions to Home in Patients With Cancer: Survey Study
Jiang, Y., Hwang, M., Cho, Y., Friese, C. R., Hawley, S. T., Manojlovich, M., Krauss, J. C., & Gong, Y. (2024) · Journal of Medical Internet Research · doi:10.2196/47685 · Cited by 9
“In addition, digital technology as a tool, if designed and used appropriately, can significantly improve patients’knowledge, skills, and confidence in self-management [36].”
Patient and clinician perspectives of desired features for a web-based self-management program (icanmanage.ca): exposing patients “hard work” of managing acute cancer
Haase, K. R., Avery, J., Bryant‐Lukosius, D., Krzyzanowska, M. K., Kukreti, V., Liu, G., Mayo, S. J., Jones, J. M., & Howell, D. (2020) · Supportive Care in Cancer · doi:10.1007/s00520-020-05683-8 · Cited by 9
“Based on prior research with similar web-based cancer self-management interventions, such as the Oncokompas [38], further study is required to understand whether disease-specific tailoring is required to ensure patient activation and engagement.”
Result
Reach and efficacy of the eHealth application Oncokompas, facilitating partners of incurably ill cancer patients to self-manage their caregiver needs: a randomized controlled trial
Schuit, A. S., Rienks, M. M., Hooghiemstra, N., Jansen, F., Lissenberg-Witte, B. I., Cuijpers, P. J., Leeuw, I. M. V., & Holtmaat, K. (2022) · Supportive Care in Cancer · doi:10.1007/s00520-022-07441-4 · Cited by 9
Self-citation
Health‐related quality of life and physical functioning in patients participating in a rehabilitation programme, undergoing non‐myeloablative allogeneic haematopoietic stem cell transplantation: Outcomes from a single arm longitudinal study
Lindman, A., Handberg, C., Olesen, G., & Duijts, S. F. A. (2021) · European Journal of Cancer Care · doi:10.1111/ecc.13478 · Cited by 9
Experiences with Wearable Sensors in Oncology during Treatment: Lessons Learned from Feasibility Research Projects in Denmark
Pappot, H., Steen-Olsen, E. B., & Holländer-Mieritz, C. (2024) · Diagnostics · doi:10.3390/diagnostics14040405 · Cited by 11
Expectations and needs of patients with esophageal cancer during curative treatment regarding self-management, self-management support and eHealth: a qualitative study
Adriaans, D. J., Rosendaal, M., Nieuwenhuijzen, G. A. P., Heesakkers, F. F. B. M., Notenboom, L., Teijink, J. A. W., van Laarhoven, H. W. M., & Daele, A. T. M. D.-V. (2024) · European Journal of Oncology Nursing · doi:10.1016/j.ejon.2024.102638 · Cited by 11
Self-citation
Use of Telehealth Among Cancer Survivors: A Scoping Review
Irurita-Morales, P., Soto‐Ruiz, N., Martín‐Rodríguez, L. S., Escalada‐Hernández, P., & García‐Vivar, C. (2022) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2022.0351 · Cited by 9
Digital health in head and neck cancer: a systematic review
Hulse, K., Li, L. Q., Lowit, A., Maguire, R., & Douglas, C. M. (2023) · The Journal of Laryngology & Otology · doi:10.1017/s0022215123000695 · Cited by 9
Cancer follow-up supported by patient-reported outcomes in patients undergoing intended curative complex surgery for advanced cancer
Ravn, S., Thaysen, H. V., Verwaal, V. J., Soerensen, M. M., Funder, J. A., Mikkelsen, M. S., Christiansen, T., Søgaard, C. H., Seibæk, L., & Iversen, L. H. (2021) · Journal of Patient-Reported Outcomes · doi:10.1186/s41687-021-00391-1 · Cited by 8
Value of routine follow‐up in oropharyngeal squamous cell cancer patients treated with curative intent
Brands, M. T., Swinkels, I. J., Aarts, A. M. W. M., Verbeek, A. L. M., Merkx, M. A. W., Marres, H. A. M., Kaanders, J. H. A. M., Melchers, W. J. G., Grunsven, I. V. E., Takes, R. P., et al. (2022) · Head & Neck · doi:10.1002/hed.27269 · Cited by 8
“In addition, E-health applications such as Oncokompas may be helpful in detecting supportive care needs and find ways to get support for them.(22) Given the heterogeneity of the OPSCC population, differences in recurrence patterns between subgroups are expected.”
BackgroundSelf-citation
Web-Based Self-Management for Patients With Lymphoma: Assessment of the Reach of Intervention of a Randomized Controlled Trial
Arts, L. P. J., Oerlemans, S., Posthuma, E. F. M., Issa, D. E., Oosterveld, M., van der Griend, R., Nijziel, M. R., & van de Poll-Franse, L. V. (2020) · Journal of Medical Internet Research · doi:10.2196/17018 · Cited by 8
The effect of nursing self-care educational intervention on depression in women with breast cancer undergoing post-mastectomy chemotherapy: A quasi-experimental study
Bouya, S., Barahoie, Z., & Kiani, F. (2021) · International Journal of Surgery Open · doi:10.1016/j.ijso.2021.100333 · Cited by 8
Pilot Testing of a Nurse-Led Basic Symptom Self-management Support for Patients Receiving First-Line Systemic Outpatient Anticancer Treatment
Bana, M., Ribi, K., Peters, S., Kropf-Staub, S., Näf, E., Zürcher, S., Stoffel, B., Bläuer, C., Borner, M., Malin, D., et al. (2021) · Cancer Nursing · doi:10.1097/ncc.0000000000000995 · Cited by 8
“Using the electronic tool alone did not improve either symptom outcomes(38) or self-management behavior.(47) Adding in-person symptommanagement education”
Method
Enablers and barriers to accessing self‐management support services for those living with and beyond cancer: A qualitative study using the theoretical domains framework
Pallin, N. D., McHugh, S., Carvalho, M., Hegarty, J. M., Connolly, R. M., & Browne, J. P. (2023) · Psycho-Oncology · doi:10.1002/pon.6254 · Cited by 8
“5 9–11 For example, as part ofa clinical trial only 45% of eligible cancer survivors agreed to participate in a web - based SMS intervention.”
Background
Efficacy of digital therapeutics for perioperative management in patients with lung cancer: a randomized controlled trial
Xu, J., Ni, H., Zhan, H., Yu, H., Lu, Z., Zhang, J., Meng, H., Hang, L., Lin, M. T., Xu, X., et al. (2025) · BMC Medicine · doi:10.1186/s12916-025-04012-2 · Cited by 7
“If there is no guidance from health care professionals, relying solely on self-management by patients may lead to a discount in effectiveness [72].”
Feasibility and efficacy of telerehabilitation in the management of patients with head and neck cancer during and after oncological treatment: A systematic review
Martínez-Guijarro, C., López-Fernández, M. D., López-Garzón, M., Lozano‐Lozano, M., Arroyo‐Morales, M., & Galiano‐Castillo, N. (2023) · European Journal of Oncology Nursing · doi:10.1016/j.ejon.2023.102279 · Cited by 7

Web-based self-management for cancer survivors: Efficacy, cost-utility and reach of Oncokompas
van der Hout, A. (2021) · Data Archiving and Networked Services (DANS)
Efficacy, cost-utility and reach of an eHealth self-management application 'Oncokompas' that helps cancer survivors to obtain optimal supportive care: study protocol for a randomised controlled trial
van der Hout, A., van Uden‐Kraan, C. F., Lissenberg-Witte, B. I., Coupé, V. M. H., Jansen, F., Leemans, C. R., Cuijpers, P. J., van de Poll-Franse, L. V., & Leeuw, I. M. V. (2017) · Trials · doi:10.1186/s13063-017-1952-1 · Cited by 39
Self-citation
The eHealth self-management application ‘Oncokompas’ that supports cancer survivors to improve health-related quality of life and reduce symptoms: which groups benefit most?
van der Hout, A., Holtmaat, K., Jansen, F., Lissenberg-Witte, B. I., van Uden‐Kraan, C. F., Nieuwenhuijzen, G. A. P., Hardillo, J. A., de Jong, R. J. B., Tiren-Verbeet, N. L., Sommeijer, D. W., et al. (2020) · Acta Oncologica · doi:10.1080/0284186x.2020.1851764 · Cited by 51
Self-citation
Efficacy of the eHealth application Oncokompas, facilitating incurably ill cancer patients to self-manage their palliative care needs: A randomized controlled trial
Schuit, A. S., Holtmaat, K., Lissenberg-Witte, B. I., Eerenstein, S. E. J., Zijlstra, J. M., Eeltink, C., Becker‐Commissaris, A., van Zuylen, L., Linde, M. E. V., van Oordt, C. W. M. D. H., et al. (2022) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2022.100390 · Cited by 31
Self-citation
Reasons for not reaching or using web-based self-management applications, and the use and evaluation of Oncokompas among cancer survivors, in the context of a randomised controlled trial
van der Hout, A., van Uden-Kraan, C. F., Holtmaat, K., Jansen, F., Lissenberg-Witte, B. I., Nieuwenhuijzen, G. A. P., Hardillo, J. A., Baatenburg de Jong, R. J., Tiren-Verbeet, N. L., Sommeijer, D. W., et al. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100429 · Cited by 29
Self-citation

See all

Authors: van der Hout, A., van Uden-Kraan, C. F., Holtmaat, K., Jansen, F., Lissenberg-Witte, B. I., Nieuwenhuijzen, G. A. P., Hardillo, J. A., Baatenburg de Jong, R. J., Tiren-Verbeet, N. L., Sommeijer, D. W., de Heer, K., Schaar, C. G., Sedee, R.-J. E., Bosscha, K., van den Brekel, M. W. M., Petersen, J. F., Westerman, M., Honings, J., Takes, R. P., Houtenbos, I., van den Broek, W. T., de Bree, R., Jansen, P., Eerenstein, S. E. J., Leemans, C. R., Zijlstra, J. M., Cuijpers, P., van de Poll-Franse, L. V., & Verdonck-de Leeuw, I. M.
Affiliations: Amsterdam Public Health (NL)
Amsterdam University Medical Centers (NL)
Catharina Ziekenhuis (NL)
Erasmus MC (NL)
Flevoziekenhuis (NL)
Gelre Hospitals (NL)
Stichting Haaglanden Medisch Centrum (NL)
Jeroen Bosch Ziekenhuis (NL)
The Netherlands Cancer Institute (NL)
Noordwest Ziekenhuisgroep (NL)
Radboud University Medical Center (NL)
Spaarne Ziekenhuis (NL)
Elisabeth-TweeSteden Ziekenhuis (NL)
ORCID: Holtmaat, Karen
Jansen, Femke
Lissenberg-Witte, Birgit I
Nieuwenhuijzen, Grard A P
Hardillo, José A
Sommeijer, Dirkje W
Schaar, Cees G
Bosscha, Koop
Petersen, Japke F
Honings, Jimmie
Takes, Robert P
Eerenstein, Simone E J
Leemans, C René
Zijlstra, Josée M
Cuijpers, Pim
Venue: The Lancet Oncology
Publisher: Elsevier BV
Published: 2020-01
Volume: 21
Issue: 1
Pages: 80-94
ISSN: 1470-2045 (ISSN-L)
DOI: 10.1016/s1470-2045(19)30675-8
OpenAlex: W2995196726
Cited by: 176
References: 31
Citations by year: 2026: 11 · 2025: 22 · 2024: 30 · 2023: 27 · 2022: 34 · 2021: 34 · 2020: 16
FWCI: 8.88
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: The Lancet Oncology (publishedVersion)
Research portal (Tilburg University) (publishedVersion)
PubMed (publishedVersion)
Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
VU Research Portal (publishedVersion, other-oa)
Radboud Repository (Radboud University) (submittedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion)
EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
Pure Amsterdam UMC (submittedVersion)
Utrecht University Repository (Utrecht University) (submittedVersion)
Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Topics: Health Sciences › Medicine › Oncology › Cancer survivorship and care
Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords: e-health applications, cancer survivors, self-management, health-related quality of life, cancer symptoms, patient activation, online intervention, personalized feedback, supportive care, PROFILES registry, head and neck cancer, colorectal cancer, breast cancer, Hodgkin's disease, non-Hodgkin lymphoma, intervention efficacy, profiles
MeSH terms: Patient Reported Outcome Measures, Cancer Survivors, Self-Management, Aged, Female, Follow-Up Studies, Humans, Male, Middle Aged, Neoplasms, Prognosis, Quality of Life, Surveys and Questionnaires, Survival Rate, Telemedicine

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Role of eHealth application Oncokompas in supporting self-management of symptoms and health-related quality of life in cancer survivors: a randomised, controlled trial

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