Role of eHealth application Oncokompas in supporting self-management of symptoms and health-related quality of life in cancer survivors: a randomised, controlled trial
Open accessAbstract
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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Prior digital health interventions were mainly fragmented and symptom-specific.
“However, these were mainly fragmented, symptom-specific interventions, and the role of a comprehensive digital companion allowing continuous education, self-management, and monitoring is not yet established in cancer survivors.55,56”
From Implementing a PROACTive Care Pathway to Empower and Support Survivors of Breast Cancer (2023) · cites this paper as [55]
The role of a comprehensive digital companion allowing continuous education, self-management, and monitoring is not yet established in cancer survivors.
“However, these were mainly fragmented, symptom-specific interventions, and the role of a comprehensive digital companion allowing continuous education, self-management, and monitoring is not yet established in cancer survivors.55,56”
From Implementing a PROACTive Care Pathway to Empower and Support Survivors of Breast Cancer (2023) · cites this paper as [55]
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“Other web-based interventions include a previsit communication tool for malignant lymphoma, an online community for adolescents and young adults with cancer, online communities for patients with breast cancer, and a web-based app supporting cancer survivors in self-management by monitoring PROs and acquiring feedback…”
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“Burns et al. [75] considered the cost-effectiveness of PROSPECTIV to be inconclusive, while Van der Hout et al. [70] suggested a 47% probability that Oncokompas is more effective and less costly than usual care.”
BackgroundMethodResultInfluentialA review of AI and Data Science support for cancer management
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“Overall, the most common SM core skills either explicitly identified or inferred by the reviewers were decision-making [17,18,20,23,24,26-28] and goal setting [18-20, A total of 4 RCTs used a theoretical basis for intervention development including self-determination theory [25], Lazarus and…”
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“The previous study also showed that for some tumourspecific symptoms, beneficial effects of Oncokompas occurred at 3- or even 6-month follow-up, and not directly post-intervention [14].”
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Singhal, S., Dickerson, J. C., Glover, M. J., Roy, M., Chiu, M., Ellis-Caleo, T. J., Hui, G., Tamayo, C., Loecher, N., Wong, H.-N., et al. (2022) · Journal of Cancer Survivorship · doi:10.1007/s11764-022-01216-w · Cited by 26 · see citing works
“All 5 randomized studies evaluated QoL.”
InfluentialLehmann, J., Buhl, P., Giesinger, J. M., Wintner, L. M., Sztankay, M. J., Neppl, L., Willenbacher, W., Weger, R., Weyrer, W., Rumpold, G., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/26022 · Cited by 26 · see citing works
“Nevertheless, despite the approval for self-management advice we found in our study, a recent clinical trial showed that, while patient portals can contribute to improved health-related quality of life [13], their measurable benefits on patient activation (knowledge, skills, and confidence for self-management) could”
BackgroundResultInfluentialInterventions for head and neck cancer survivors: Systematic review
Margalit, D. N., Salz, T., Venchiarutti, R. L., Milley, K. M., McNamara, M., Chima, S., Wong, J., Druce, P., & Nekhlyudov, L. (2022) · Head & Neck · doi:10.1002/hed.27142 · Cited by 25 · see citing works
Applications of digital Medicine in oncology: Prospects and challenges
Ge, H., Li, L., Zhang, D., & Ma, F. (2022) · Cancer Innovation · doi:10.1002/cai2.37 · Cited by 24 · see citing works
“However, applications in oncology require more medical evidence [33].”
BackgroundGovindaraj, R., Agar, M. R., Currow, D. C., & Luckett, T. (2023) · Journal of Medical Internet Research · doi:10.2196/48483 · Cited by 26 · see citing works
Wan, S. W., Chng, Y. J. D., Lim, S. H., Chong, C. S., Pikkarainen, M., & He, H. (2022) · Journal of Advanced Nursing · doi:10.1111/jan.15258 · Cited by 24 · see citing works
da Silva, H. E. C., Santos, G. N. M., Ferreira Leite, A., Mesquita, C. R. M., de Souza Figueiredo, P. T., Miron Stefani, C., & de Santos Melo, N. (2022) · Supportive Care in Cancer · doi:10.1007/s00520-022-07109-z · Cited by 24 · see citing works
Patients with low activation level report limited possibilities to participate in cancer care
Westman, B., Bergkvist, K., Rosenblad, A., Sharp, L., & Bergenmar, M. (2022) · Health Expectations · doi:10.1111/hex.13438 · Cited by 23 · see citing works
“26 The PAM ‐ 13 ® scale has been widely used for measuring patient activation in different populations, including patients with cancer, 21,27,28 and is validated in Swedish.”
Jansen, F., Brakenhoff, R. H., de Jong, R. J. B., Langendijk, J. A., Leemans, C. R., Takes, R. P., Terhaard, C. H. J., Smit, J. H., & Leeuw, I. M. V. (2022) · BMC Medical Research Methodology · doi:10.1186/s12874-022-01514-y · Cited by 23 · see citing works
“In the NET-QUBIC study we asked all patients and informal caregivers to complete the PROMs using paper and pencil, as it was estimated that about 30% quite some HNC patients have no internet or limited computer skills has no access to the internet or limited computer skills [21, 22].”
MethodSelf-citationPersonalization 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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
“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].”
BackgroundTuominen, 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 · see citing works
“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,…”
BackgroundMethodInfluentialEctor, 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 · see citing works
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 · see citing works
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 · see citing works
Telehealth Interventions in Head and Neck Cancer Patients
Caputo, M. P., Rodriguez, C. S., Padhya, T. A., & Mifsud, M. J. (2022) · Cancer Nursing · doi:10.1097/ncc.0000000000001130 · Cited by 19 · see citing works
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 · see citing works
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 19 · see citing works
“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].”
InfluentialGitonga, I., Desmond, D. M., Duda, N., & Maguire, R. (2022) · Psycho-Oncology · doi:10.1002/pon.6019 · Cited by 17 · see citing works
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 17 · see citing works
“Only a few studies reported non-statistically significant findings [23,24,26,33,38,41].”
BackgroundInfluentialSauer, 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 17 · see citing works
“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.”
ResulteHealth 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 · see citing works
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 · see citing works
“In studies reporting the adherence percentage, adherence was established as 62–100% [36, 39, 41, 47, 48].”
BackgroundInfluentialThe 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 · see citing works
Li, Y., Chen, W., Liang, Y., Yang, L., & Hou, L. (2023) · JMIR mhealth and uhealth · doi:10.2196/49051 · Cited by 15 · see citing works
“…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…”
BackgroundMethodInfluentialA 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 18 · see citing works
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 15 · see citing works
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 · see citing works
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 · see citing works
“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].”
ResultYamaguchi, 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 · see citing works
“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 14 · see citing works
“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].”
BackgroundMethodInfluentialYuan, 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 · see citing works
“Additionally, we will investigate the efficacy of personalized, long-term exercise interventions, particularly targeting hand strength training and cognitive fatigue [40].”
BackgroundStewart, 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 13 · see citing works
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 · see citing works
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 · see citing works
Su, C., Guo, S., & Kuo, Y. (2024) · Supportive Care in Cancer · doi:10.1007/s00520-024-08369-7 · Cited by 16 · see citing works
“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.”
InfluentialAljuboori, 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 · see citing works
“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].”
BackgroundJiang, 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 11 · see citing works
Ancona, C., Caroppo, E., & Lellis, P. D. (2025) · Health and Technology · doi:10.1007/s12553-025-00942-2 · Cited by 18 · see citing works
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 · see citing works
Self-citationSchuit, 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 11 · see citing works
“The content of Oncokompas for use in cancer survivorship care is developed for survivors of different cancer types specifically [8,30] (e.”
BackgroundSelf-citationLong-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 · see citing works
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 · see citing works
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 · see citing works
“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].”
BackgroundMethodInfluentialBomhof‐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 · see citing works
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 · see citing works
Self-citationJiang, 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 · see citing works
“In addition, digital technology as a tool, if designed and used appropriately, can significantly improve patients’knowledge, skills, and confidence in self-management [36].”
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 · see citing works
“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.”
ResultSchuit, 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 · see citing works
Self-citationLindman, A., Handberg, C., Olesen, G., & Duijts, S. F. A. (2021) · European Journal of Cancer Care · doi:10.1111/ecc.13478 · Cited by 9 · see citing works
Pappot, H., Steen-Olsen, E. B., & Holländer-Mieritz, C. (2024) · Diagnostics · doi:10.3390/diagnostics14040405 · Cited by 9 · see citing works
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 10 · see citing works
Self-citationUse 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 8 · see citing works
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 8 · see citing works
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 · see citing works
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 · see citing works
“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-citationArts, 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 · see citing works
Bouya, S., Barahoie, Z., & Kiani, F. (2021) · International Journal of Surgery Open · doi:10.1016/j.ijso.2021.100333 · Cited by 8 · see citing works
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 · see citing works
“Using the electronic tool alone did not improve either symptom outcomes(38) or self-management behavior.(47) Adding in-person symptommanagement education”
MethodPallin, 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 7 · see citing works
“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.”
BackgroundXu, 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 · see citing works
“If there is no guidance from health care professionals, relying solely on self-management by patients may lead to a discount in effectiveness [72].”
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 · see citing works
- 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
- Venue
- The Lancet Oncology
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 21
- Issue
- 1
- Pages
- 80-94
- ISSN
- 1470-2045 (ISSN-L)
- OpenAlex
- W2995196726
- Cited by
- 176
- References
- 31
- Citations by year
- 2026: 11 · 2025: 22 · 2024: 30 · 2023: 27 · 2022: 34 · 2021: 34 · 2020: 16 · 2019: 1
- FWCI
- 8.88
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- 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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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