The eHealth self-management application ‘Oncokompas’ that supports cancer survivors to improve health-related quality of life and reduce symptoms: which groups benefit most?

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

doi:10.1080/0284186x.2020.1851764

Cited by 36 publications

(27 citation statements)

References 45 publications

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“…Dass Gesundheitskompetenz positiv mit gesundheitsförderlichem Verhalten sowie mit selbstberichteter psychischer und körperlicher Gesundheit in Zusammenhang steht, wurde bereits bei nichtonkologischen Patientengruppen vielfach gezeigt [42,43]. Gesundheitskompetenz scheint sich aber auch positiv auf die Wirksamkeit von E-Health-Angeboten zur Verbesserung der Selbstmanage-mentkompetenzen bei Krebspatienten auszuwirken [44].…”

Section: Selbstmanagement-und (Digitale) Gesundheitskompetenzunclassified

Survivorship-Care-Programme für Krebspatienten: die Bedeutung von Risikostratifizierung, Selbstmanagement- und Gesundheitskompetenzen im Zeitalter digitaler Versorgung

Mehnert‐Theuerkauf

Esser

2022

Bundesgesundheitsbl

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ZusammenfassungIn Deutschland wie allen anderen Industrieländern weltweit nimmt mit einer älter werdenden Bevölkerung und einer verbesserten Krebsfrüherkennung, Diagnostik und onkologischen Behandlung die Zahl der Patienten, die geheilt werden oder lange Zeit mit der Erkrankung leben, deutlich zu (Cancer Survivors). Ein Leben mit und nach einer Krebserkrankung bedeutet für viele Patienten ein Leben mit körperlichen und psychosozialen krankheits- und behandlungsbedingten Langzeit- und Spätfolgen. Angesichts des demografischen Wandels, der steigenden Krebsprävalenz sowie des medizinischen Fortschritts ist eine der dringenden Fragen, wie eine qualitativ hochwertige individualisierte und gleichzeitig finanzierbare Krebsversorgung für älter werdende, häufig multimorbide Patienten sichergestellt werden kann.Diese Entwicklungen erfordern neben einer Stärkung der Krebsprävention die Erforschung und Umsetzung einer individualisierten Nachsorge im Rahmen von Survivorship-Care-Programmen (SCP). Übergreifende Zielsetzung von SCP ist es, den körperlichen wie psychosozialen Langzeit- und Spätfolgen vorzubeugen bzw. diese zu minimieren, die Mortalität zu senken sowie die Lebensqualität von Patienten zu verbessern. Die Evidenz zur Wirksamkeit von SCP hinsichtlich der Verbesserung patientenberichteter Endpunkte ist bislang nicht eindeutig. Die Bereitstellung von maßgeschneiderten Informationen sowie von risikomodifizierenden und bedarfsorientierten Angeboten auf der Basis einer Risikostratifizierung wird als zentraler Bestandteil bei der Implementierung von SCP angesehen. Dabei nimmt die Förderung von Selbstmanagement- und Gesundheitskompetenzen der Patienten, insbesondere vor dem Hintergrund der Zunahme von digitalen Gesundheitsanwendungen, einen hohen Stellenwert ein.

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Section: Selbstmanagement-und (Digitale) Gesundheitskompetenzunclassified

Survivorship-Care-Programme für Krebspatienten: die Bedeutung von Risikostratifizierung, Selbstmanagement- und Gesundheitskompetenzen im Zeitalter digitaler Versorgung

Mehnert‐Theuerkauf

Esser

2022

Bundesgesundheitsbl

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“…Three of the studies were conducted in the Netherlands and others in the USA, the UK, and Sweden. While one study had a threegroup design (Cheville et al, 2018), the other five studies were found to use a two-group design (Arts et al, 2020;Ruland et al, 2010;Stevenson et al, 2020;van der Hout et al, 2020avan der Hout et al, , 2020b. Also, the studies reviewed were found to focus on the adult population (individuals aged 18 or above).…”

Section: Characteristics Of the Studiesmentioning

confidence: 99%

“…Three of the studies reviewed included mixed patient groups (breast, lung, colorectal, etc.) (Cheville et al, 2018;van der Hout et al, 2020avan der Hout et al, , 2020b, while the majority of the participants in the other three studies were patients with lymphoma (Arts et al, 2020;Ruland et al, 2010;Stevenson et al, 2020). Three of the six studies involved self-management interventions (Arts et al, 2020;van der Hout et al, 2020avan der Hout et al, , 2020b, while other studies involved symptom management (Cheville et al, 2018;Ruland et al, 2010;Stevenson et al, 2020).…”

Section: Characteristics Of the Studiesmentioning

confidence: 99%

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The effect of web‐based intervention programs on self‐management and symptom management in patients with lymphoma: A systematic review of randomized controlled trials

Sezgi̇n

Bektaş

2021

Japan Journal Nursing Sci

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Aim This systematic review aimed to systematically summarize studies obtained through a database search and examine the effect of web‐based intervention programs on self‐management and symptom management in patients with lymphoma. Methods A systematic review of randomized controlled trials was carried out. Cochrane Central Register of Controlled Trials, Web of Science, PubMed, CINAHL, Scopus, ProQuest, Science Direct, and Ovid databases were reviewed until January 2021. The flow chart of the Preferred Reporting Items for Systematic Review and Meta‐Analysis checklist was used in the search procedure without setting a year limit. Population, Intervention, Comparison, Outcomes and Study criteria were determined by two independent investigators and published randomized controlled studies in English with lymphoma diagnosis and web‐based intervention programs for self‐management and symptom management were included in the systematic review. The included studies were examined for their risk of bias with the help of the Cochrane Collaboration tool. A narrative synthesis of study findings was performed. Results Six randomized controlled trials with 2382 participants were included in the systematic review. Web‐based intervention programs in patients diagnosed with lymphoma were found to be generally implemented for determining the levels of self‐management and symptom management. In all of the studies reviewed, it was found that the interventions had treatment outcomes. The risk of Bias 2 was evaluated as high risk in two studies that did not meet the criteria for blinding outcome evaluations. The included studies, while evaluating the effects of web‐based intervention programs on patient outcomes, could not provide information about the underlying mechanisms by which these effects occur and how they occur. Conclusions All of the studies included were found to apply a technology designed to improve outcomes in patients with lymphoma. It is recommended that web‐based intervention programs be individualized by adapting them to lymphoma types and stages, and serve as a guide for effective symptom management.

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“…Patient activation represents the knowledge, skills, and confidence to manage one's health. In multiple chronic conditions, it has been shown to contribute to improved self‐management behaviors [ 28 , 29 ]. More active patients are more likely to believe their treatment plans reflect their values, more likely to face side effects, and more likely to initiate a healthier diet after diagnosis than less active patients [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tools supporting cancer survivors

Mlakar

Lin

Aleksandraviča

et al. 2021

BMC Med Inform Decis Mak

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Background It is encouraging to see a substantial increase in individuals surviving cancer. Even more so since most of them will have a positive effect on society by returning to work. However, many cancer survivors have unmet needs, especially when it comes to improving their quality of life (QoL). Only few survivors are able to meet all of the recommendations regarding well-being and there is a body of evidence that cancer survivors’ needs often remain neglected from health policy and national cancer control plans. This increases the impact of inequalities in cancer care and adds a dangerous component to it. The inequalities affect the individual survivor, their career, along with their relatives and society as a whole. The current study will evaluate the impact of the use of big data analytics and artificial intelligence on the self-efficacy of participants following intervention supported by digital tools. The secondary endpoints include evaluation of the impact of patient trajectories (from retrospective data) and patient gathered health data on prediction and improved intervention against possible secondary disease or negative outcomes (e.g. late toxicities, fatal events). Methods/design The study is designed as a single-case experimental prospective study where each individual serves as its own control group with basal measurements obtained at the recruitment and subsequent measurements performed every 6 months during follow ups. The measurement will involve CASE-cancer, Patient Activation Measure and System Usability Scale. The study will involve 160 survivors (80 survivors of Breast Cancer and 80 survivors of Colorectal Cancer) from four countries, Belgium, Latvia, Slovenia, and Spain. The intervention will be implemented via a digital tool (mHealthApplication), collecting objective biomarkers (vital signs) and subjective biomarkers (PROs) with the support of a (embodied) conversational agent. Additionally, the Clinical Decision Support system (CDSS), including visualization of cohorts and trajectories will enable oncologists to personalize treatment for an efficient care plan and follow-up management. Discussion We expect that cancer survivors will significantly increase their self-efficacy following the personalized intervention supported by the m-HealthApplication compared to control measurements at recruitment. We expect to observe improvement in healthy habits, disease self-management and self-perceived QoL. Trial registration ISRCTN97617326. https://doi.org/10.1186/ISRCTN97617326. Original Registration Date: 26/03/2021.

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The eHealth self-management application ‘Oncokompas’ that supports cancer survivors to improve health-related quality of life and reduce symptoms: which groups benefit most?

Cited by 36 publications

References 45 publications

Survivorship-Care-Programme für Krebspatienten: die Bedeutung von Risikostratifizierung, Selbstmanagement- und Gesundheitskompetenzen im Zeitalter digitaler Versorgung

Survivorship-Care-Programme für Krebspatienten: die Bedeutung von Risikostratifizierung, Selbstmanagement- und Gesundheitskompetenzen im Zeitalter digitaler Versorgung

The effect of web‐based intervention programs on self‐management and symptom management in patients with lymphoma: A systematic review of randomized controlled trials

Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tools supporting cancer survivors

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