Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Electronic patient reported outcome (ePRO) tools have improved survival and quality of life (QoL) of cancer patients receiving chemotherapy, and in the follow-up of lung cancer patients. Current study investigates electronic patient reported outcome tool in the follow-up of cancer patients receiving immune checkpoint inhibitor therapy.
Current study aims to evaluate 1) patient reported symptoms and their severity, 2) Number of triggered alerts by the tool and their correlation to treatment side-effects, cancer progression, other medical events or survival, 3) Correlation between different symptoms and the correlation of symptoms to treatment side-effects, cancer progression, other medical events or survival,4) QoL of patients and correlation of changes in QoL to treatment side-effects, cancer progression, other medical events or survival, 5) Patient compliance, 6) Correlation of baseline laboratory values to treatment side-effects, cancer progression, other medical events or survival.
Please see the Brief summary
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Electronic follow-up | Experimental | Follow-up of cancer patients treated with immune checkpoint inhibitor therapy using electronic patient reported outcomes-tool |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Electronic patient reported outcomes | Device | Electronic patient reported outcomes-tool |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change in the spectrum of patient reported symptoms | Percentages of patient reported symptoms using KaikuHealth 17 symptom e-questionnaire. Individual questions evaluate the presence of a specific symptom e.g. nausea. Questions are answered yes or no. | At Baseline, and at 2-3, 4-5, 6-7, 8-9, and 11-12weeks |
| Change in Patient reported symptom severity | Percentages of patient reported symptoms and their severity according NCI-CTCAE by KaikuHealth algorithm | At Baseline, and at 2-3, 4-5, 6-7, 8-9, and 11-12weeks |
| Change in the number of triggered alerts by the tool | Number of triggered alerts by the tool and their correlation to treatment side-effects, cancer progression, other medical events in percentages or survival. | At Baseline, and at 2-3, 4-5, 6-7, 8-9, and 11-12weeks |
| Changes in Quality of Life according to QLQ-C30 Summary scores | The correlation of the Summary score of QLQ-C30 to treatment side-effects, cancer progression, or other medical events or survival. The Core Quality of life questionnaire (QLQ-C30) is a validated cancer health-related quality-of-life questionnaire that includes five function domains (physical, emotional, social, role, cognitive), eight symptoms (fatigue, pain, nausea/vomiting, constipation, diarrhea, insomnia, dyspnea, and appetite loss), as well as global health/quality of life and financial impact. Subjects respond on a four-point-scale from "not at all" to "very much" for most items. Raw scores are linearly converted to a 0-100 scale. For the functioning scales and global QoL higher scores indicate better functioning; for the symptom scales higher scores indicate higher symptom burden. The summary score of QLQ-C30 is calculated from the mean of 13 of 15 QLQ-C30 scales (the Global Quality of Life scale and the Financial Impact scale are not included). | At baseline, and at 4, 8, and 12weeks |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Affiliation | Role |
|---|---|---|
| Jussi P Koivunen, M.D., Ph.D | Oulu University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Docarates Cancer Center | Helsinki | 00180 | Finland | |||
| Pia Vihinen |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34193140 | Derived | Iivanainen S, Ekstrom J, Virtanen H, Kataja VV, Koivunen JP. Electronic patient-reported outcomes and machine learning in predicting immune-related adverse events of immune checkpoint inhibitor therapies. BMC Med Inform Decis Mak. 2021 Jun 30;21(1):205. doi: 10.1186/s12911-021-01564-0. | |
| 33112242 | Derived | Iivanainen S, Alanko T, Vihinen P, Konkola T, Ekstrom J, Virtanen H, Koivunen J. Follow-Up of Cancer Patients Receiving Anti-PD-(L)1 Therapy Using an Electronic Patient-Reported Outcomes Tool (KISS): Prospective Feasibility Cohort Study. JMIR Form Res. 2020 Oct 28;4(10):e17898. doi: 10.2196/17898. |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Feb 11, 2019 | Apr 18, 2019 | Prot_SAP_000.pdf |
Not provided
| ID | Term |
|---|---|
| D009369 | Neoplasms |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Correlation between changes in different symptoms and their severity to treatment side-effects, cancer progression, other medical events, or survival. |
Correlation between different patient reported symptoms and their severity to treatment side-effects, cancer progression or other medical events in percentages or survival. |
| At 2-3, 4-5, 6-7, 8-9, and 11-12weeks |
| Changes in Patient compliance Questionnaire | Patient compliance using KaikuHealth e-questionnaire addressing usability (easiness to use from scale: very easy to very difficult; need of assistance to use the program: yes/no; how understandable are questions in symptom questionnaire from scale: totally agree to totally disagree) and user experience (use of the ePRO tool will better your cancer care: yes-no, do not know; use of the ePRO tool has been useful: yes-no-do not know; would you recommend the ePRO tool for cancer care: yes-no-do not know). Analysis is done on percentages of each answer choice at specific time point(s). | At 4, 8, and 12weeks |
| Changes in patient compliance according to answering rate to symptom questionnaires | Patient compliance using response rates (within one week) to symptom questionnaires in percentages from sent requests | At 4, 8, and 12weeks |
| Change in patient compliance according to answering rates to QLQ-C30 questionnaire | Patient compliance using response rates to QLQ-C30 questionnaires (within one week) in percentages from sent requests. The QLQ-C30 questionnaire includes five function domains (physical, emotional, social, role, cognitive), eight symptoms (fatigue, pain, nausea/vomiting, constipation, diarrhea, insomnia, dyspnea, and appetite loss), as well as global health/quality of life and financial impact. Subjects respond on a four-point-scale from "not at all" to "very much" for most items. Raw scores are linearly converted to a 0-100 scale. For the functioning scales and global QoL higher scores indicate better functioning; for the symptom scales higher scores indicate higher symptom burden. The summary score of QLQ-C30 is calculated from the mean of 13 of 15 QLQ-C30 scales (the Global Quality of Life scale and the Financial Impact scale are not included). | At 4, 8, and 12weeks |
| Correlation of change in baseline Hb values compared to control Hb values to treatment side-effects, cancer progression, other medical events or survival. | Correlation of change in baseline Hb values compared to control Hb values at specific timepoints to treatment side-effects, cancer progression, other medical events or survival. | At Baseline, and at 2-3, 4-5, 6-7, 8-9, and 11-12weeks |
| Correlation of change in baseline leucocyte values compared to control leucocyte values to treatment side-effects, cancer progression, other medical events or survival. | Correlation of change in baseline leucocyte compared to control leucocyte values at specific timepoints to treatment side-effects, cancer progression, other medical events or survival. | At Baseline, and at 2-3, 4-5, 6-7, 8-9, and 11-12weeks |
| Correlation of change in baseline lymphocyte values compared to control lymphocyte values to treatment side-effects, cancer progression, other medical events or survival. | Correlation of change in baseline lymphocyte values compared to control lymphocyte values at specific timepoints to treatment side-effects, cancer progression, other medical events or survival. | At Baseline, and at 2-3, 4-5, 6-7, 8-9, and 11-12weeks |
| Correlation of change in baseline neutrophil values compared to control neutrophil values to treatment side-effects, cancer progression, other medical events or survival. | Correlation of change in baseline neutrophil values compared to control neutrophil values at specific timepoints to treatment side-effects, cancer progression, other medical events or survival. | At Baseline, and at 2-3, 4-5, 6-7, 8-9, and 11-12weeks |
| Correlation of change in baseline CRP values compared to control CRP values to treatment side-effects, cancer progression, other medical events or survival. | Correlation of change in baseline CRP values compared to control CRP values at specific timepoints to treatment side-effects, cancer progression, other medical events or survival. | At Baseline, and at 2-3, 4-5, 6-7, 8-9, and 11-12weeks |
| Turku |
| 20521 |
| Finland |