14 research outputs found
‘Oncokompas’, a web-based self-management application to support patient activation and optimal supportive care: a feasibility study among breast cancer survivors
<p><b>Background:</b> Cancer survivors have to deal with symptoms related to cancer and its treatment. In Oncokompas, cancer survivors monitor their quality of life by completing patient reported outcome measures (PROMs), followed by personalized feedback, self-care advice, and supportive care options to stimulate patient activation. The aim of this study was to investigate feasibility and pretest–posttest differences of Oncokompas including a newly developed breast cancer (BC) module among BC survivors.</p> <p><b>Material and methods:</b> A pretest–posttest design was used. Feasibility was investigated by means of adoption, usage, and satisfaction rates. Several socio-demographic and clinical factors, and health-related quality of life (HRQOL) were explored that might be associated with patient satisfaction. Barriers and facilitators of Oncokompas feasibility were investigated by evaluating nurse consultation reports. Differences in patient activation (Patient Activation Measure) and patient-physician interaction (Perceived Efficacy in Patient–Physician Interactions) before and after Oncokompas use were investigated.</p> <p><b>Results:</b> In total, 101 BC survivors participated. Oncokompas had an adoption rate of 75%, a usage rate of 75–84%, a mean satisfaction score of 6.9 (range 0–10) and a Net Promoter Score (NPS) of −36 (range −100–100) (<i>N</i> = 68). The BC module had a mean satisfaction score of 7.6. BC survivors who received surgery including chemotherapy and/or radiotherapy were significantly more satisfied with Oncokompas than BC survivors with surgery alone (<i>p</i> = .013). Six facilitators and 10 barriers of Oncokompas feasibility were identified. After using Oncokompas, BC survivors scored significantly higher on patient activation (<i>p</i> = .007; <i>r</i> = .24), but not on patient-physician interaction (<i>p</i> = .75).</p> <p><b>Conclusion:</b> Oncokompas including a BC module is considered feasible, but needs further optimization to increase user satisfaction. This study shows the value of tailoring eHealth applications for cancer survivors to their specific tumor type. Oncokompas including the BC module seems to improve patient activation among BC survivors.</p
Demographic characteristics of participants.
<p>Demographic characteristics of participants.</p
Confirmatory Factor Analysis of the Northwestern Ego-integrity Scale, correlated factors were assumed.
<p>Confirmatory Factor Analysis of the Northwestern Ego-integrity Scale, correlated factors were assumed.</p
Characteristics of study participants (n = 23).
1<p>There were no patients diagnosed longer than 5 years ago, who showed interest in participation.</p
Meaning making themes and key-issues and themes of perceived changes in meaning making and meaning related issues.
<p>Meaning making themes and key-issues and themes of perceived changes in meaning making and meaning related issues.</p
Nomogram for tube feeding dependence to determine normal tissue complication probability (NTCP) values for each individual patient.
<p>Abbreviations: SF, conventional radiotherapy; ART, accelerated radiotherapy; CRT, chemoradiation.</p
Pre-treatment charactistics in the training cohort and test cohort.
<p>Abbreviations: 3D-CRT, Three Dimensional Conformal Radiotherapy; IMRT, Intensity-Modulated Radiation Therapy; RTOG, Radiation Therapy Oncology Group.</p