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Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study

BACKGROUND: Improvements in mobile telecommunication technologies have enabled clinicians to collect patient-reported outcome (PRO) data more frequently, but there is as yet limited evidence regarding the frequency with which PRO data can be collected via smartphone applications (apps) in breast can...

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Autores principales: Min, Yul Ha, Lee, Jong Won, Shin, Yong-Wook, Jo, Min-Woo, Sohn, Guiyun, Lee, Jae-Ho, Lee, Guna, Jung, Kyung Hae, Sung, Joohon, Ko, Beom Seok, Yu, Jong-Han, Kim, Hee Jeong, Son, Byung Ho, Ahn, Sei Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051741/
https://www.ncbi.nlm.nih.gov/pubmed/24860070
http://dx.doi.org/10.2196/jmir.3421
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author Min, Yul Ha
Lee, Jong Won
Shin, Yong-Wook
Jo, Min-Woo
Sohn, Guiyun
Lee, Jae-Ho
Lee, Guna
Jung, Kyung Hae
Sung, Joohon
Ko, Beom Seok
Yu, Jong-Han
Kim, Hee Jeong
Son, Byung Ho
Ahn, Sei Hyun
author_facet Min, Yul Ha
Lee, Jong Won
Shin, Yong-Wook
Jo, Min-Woo
Sohn, Guiyun
Lee, Jae-Ho
Lee, Guna
Jung, Kyung Hae
Sung, Joohon
Ko, Beom Seok
Yu, Jong-Han
Kim, Hee Jeong
Son, Byung Ho
Ahn, Sei Hyun
author_sort Min, Yul Ha
collection PubMed
description BACKGROUND: Improvements in mobile telecommunication technologies have enabled clinicians to collect patient-reported outcome (PRO) data more frequently, but there is as yet limited evidence regarding the frequency with which PRO data can be collected via smartphone applications (apps) in breast cancer patients receiving chemotherapy. OBJECTIVE: The primary objective of this study was to determine the feasibility of an app for sleep disturbance-related data collection from breast cancer patients receiving chemotherapy. A secondary objective was to identify the variables associated with better compliance in order to identify the optimal subgroups to include in future studies of smartphone-based interventions. METHODS: Between March 2013 and July 2013, patients who planned to receive neoadjuvant chemotherapy for breast cancer at Asan Medical Center who had access to a smartphone app were enrolled just before the start of their chemotherapy and asked to self-report their sleep patterns, anxiety severity, and mood status via a smartphone app on a daily basis during the 90-day study period. Push notifications were sent to participants daily at 9 am and 7 pm. Data regarding the patients’ demographics, interval from enrollment to first self-report, baseline Beck’s Depression Inventory (BDI) score, and health-related quality of life score (as assessed using the EuroQol Five Dimensional [EQ5D-3L] questionnaire) were collected to ascertain the factors associated with compliance with the self-reporting process. RESULTS: A total of 30 participants (mean age 45 years, SD 6; range 35-65 years) were analyzed in this study. In total, 2700 daily push notifications were sent to these 30 participants over the 90-day study period via their smartphones, resulting in the collection of 1215 self-reporting sleep-disturbance data items (overall compliance rate=45.0%, 1215/2700). The median value of individual patient-level reporting rates was 41.1% (range 6.7-95.6%). The longitudinal day-level compliance curve fell to 50.0% at day 34 and reached a nadir of 13.3% at day 90. The cumulative longitudinal compliance curve exhibited a steady decrease by about 50% at day 70 and continued to fall to 45% on day 90. Women without any form of employment exhibited the higher compliance rate. There was no association between any of the other patient characteristics (ie, demographics, and BDI and EQ5D-3L scores) and compliance. The mean individual patient-level reporting rate was higher for the subgroup with a 1-day lag time, defined as starting to self-report on the day immediately after enrollment, than for those with a lag of 2 or more days (51.6%, SD 24.0 and 29.6%, SD 25.3, respectively; P=.03). CONCLUSIONS: The 90-day longitudinal collection of daily self-reporting sleep-disturbance data via a smartphone app was found to be feasible. Further research should focus on how to sustain compliance with this self-reporting for a longer time and select subpopulations with higher rates of compliance for mobile health care.
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spelling pubmed-40517412014-06-11 Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study Min, Yul Ha Lee, Jong Won Shin, Yong-Wook Jo, Min-Woo Sohn, Guiyun Lee, Jae-Ho Lee, Guna Jung, Kyung Hae Sung, Joohon Ko, Beom Seok Yu, Jong-Han Kim, Hee Jeong Son, Byung Ho Ahn, Sei Hyun J Med Internet Res Original Paper BACKGROUND: Improvements in mobile telecommunication technologies have enabled clinicians to collect patient-reported outcome (PRO) data more frequently, but there is as yet limited evidence regarding the frequency with which PRO data can be collected via smartphone applications (apps) in breast cancer patients receiving chemotherapy. OBJECTIVE: The primary objective of this study was to determine the feasibility of an app for sleep disturbance-related data collection from breast cancer patients receiving chemotherapy. A secondary objective was to identify the variables associated with better compliance in order to identify the optimal subgroups to include in future studies of smartphone-based interventions. METHODS: Between March 2013 and July 2013, patients who planned to receive neoadjuvant chemotherapy for breast cancer at Asan Medical Center who had access to a smartphone app were enrolled just before the start of their chemotherapy and asked to self-report their sleep patterns, anxiety severity, and mood status via a smartphone app on a daily basis during the 90-day study period. Push notifications were sent to participants daily at 9 am and 7 pm. Data regarding the patients’ demographics, interval from enrollment to first self-report, baseline Beck’s Depression Inventory (BDI) score, and health-related quality of life score (as assessed using the EuroQol Five Dimensional [EQ5D-3L] questionnaire) were collected to ascertain the factors associated with compliance with the self-reporting process. RESULTS: A total of 30 participants (mean age 45 years, SD 6; range 35-65 years) were analyzed in this study. In total, 2700 daily push notifications were sent to these 30 participants over the 90-day study period via their smartphones, resulting in the collection of 1215 self-reporting sleep-disturbance data items (overall compliance rate=45.0%, 1215/2700). The median value of individual patient-level reporting rates was 41.1% (range 6.7-95.6%). The longitudinal day-level compliance curve fell to 50.0% at day 34 and reached a nadir of 13.3% at day 90. The cumulative longitudinal compliance curve exhibited a steady decrease by about 50% at day 70 and continued to fall to 45% on day 90. Women without any form of employment exhibited the higher compliance rate. There was no association between any of the other patient characteristics (ie, demographics, and BDI and EQ5D-3L scores) and compliance. The mean individual patient-level reporting rate was higher for the subgroup with a 1-day lag time, defined as starting to self-report on the day immediately after enrollment, than for those with a lag of 2 or more days (51.6%, SD 24.0 and 29.6%, SD 25.3, respectively; P=.03). CONCLUSIONS: The 90-day longitudinal collection of daily self-reporting sleep-disturbance data via a smartphone app was found to be feasible. Further research should focus on how to sustain compliance with this self-reporting for a longer time and select subpopulations with higher rates of compliance for mobile health care. JMIR Publications Inc. 2014-05-23 /pmc/articles/PMC4051741/ /pubmed/24860070 http://dx.doi.org/10.2196/jmir.3421 Text en ©Yul Ha Min, Jong Won Lee, Yong-Wook Shin, Min-Woo Jo, Guiyun Sohn, Jae-Ho Lee, Guna Lee, Kyung Hae Jung, Joohon Sung, Beom Seok Ko, Jong-Han Yu, Hee Jeong Kim, Byung Ho Son, Sei Hyun Ahn. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 23.05.2014. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Min, Yul Ha
Lee, Jong Won
Shin, Yong-Wook
Jo, Min-Woo
Sohn, Guiyun
Lee, Jae-Ho
Lee, Guna
Jung, Kyung Hae
Sung, Joohon
Ko, Beom Seok
Yu, Jong-Han
Kim, Hee Jeong
Son, Byung Ho
Ahn, Sei Hyun
Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study
title Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study
title_full Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study
title_fullStr Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study
title_full_unstemmed Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study
title_short Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study
title_sort daily collection of self-reporting sleep disturbance data via a smartphone app in breast cancer patients receiving chemotherapy: a feasibility study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4051741/
https://www.ncbi.nlm.nih.gov/pubmed/24860070
http://dx.doi.org/10.2196/jmir.3421
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