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      Quality of Life of Women After a First Diagnosis of Breast Cancer Using a Self-Management Support mHealth App in Taiwan: Randomized Controlled Trial

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      , RN, PhD 1 , , , RN, MS 1 , 2 , , PhD 3 , , MD, PhD 4 , , MD, PhD 5 , , BA 4 , , RN, MA, PhD 6 , 7
      (Reviewer), (Reviewer), (Reviewer)
      JMIR mHealth and uHealth
      JMIR Publications
      breast cancer, mHealth app, self-management, quality of life

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          Abstract

          Background

          There are over 2 million newly diagnosed patients with breast cancer worldwide with more than 10,000 cases in Taiwan each year. During 2017-2018, the National Yang-Ming University, the Taiwan University of Science and Technology, and the Taiwan Breast Cancer Prevention Foundation collaborated to develop a breast cancer self-management support (BCSMS) mHealth app for Taiwanese women with breast cancer.

          Objective

          The aim of this study was to investigate the quality of life (QoL) of women with breast cancer in Taiwan after using the BCSMS app.

          Methods

          After receiving a first diagnosis of breast cancer, women with stage 0 to III breast cancer, who were recruited from social networking sites or referred by their oncologists or oncology case managers, were randomized 1:1 into intervention and control groups. Intervention group subjects used the BCSMS app and the control group subjects received usual care. Two questionnaires—the European Organization for Research and Treatment of Cancer (EORTC) Quality-of-Life Questionnaire Core 30 (QLQ-C30) and the EORTC Breast Cancer-Specific Quality-of-Life Questionnaire (QLQ-BR23)—were distributed to subjects in both arms. Paper-based questionnaires were used at baseline; paper-based or Web-based questionnaires were used at 1.5-month and 3-month follow-up evaluations. All evaluations were self-assessed and anonymous, and participants were blinded to their allocation groups. Descriptive analysis, the Pearson chi-square test, analysis of variance, and the generalized estimating equation were used to analyze the data. Missing values, with and without multi-imputation techniques, were used for sensitivity analysis.

          Results

          A total of 112 women were enrolled and randomly allocated to either the experimental group (n=53) or control group (n=59). The follow-up completion rate was 89.3% (100/112). The demographic data showed homogeneity between the two groups in age (range 50-64 years), breast cancer stage (stage II), marital status (married), working status (employed), and treatment status (receiving treatments). The mean total QoL summary scores from the QLQ-C30 (83.45 vs 82.23, P=.03) and the QLQ-BR23 (65.53 vs 63.13, P=.04) were significantly higher among the experimental group versus the control group, respectively, at 3 months.

          Conclusions

          This research provides support for using a mobile health care app to promote the QoL among women in Taiwan after a first diagnosis of breast cancer. The BCSMS app could be used to support disease self-management, and further evaluation of whether QoL is sustained is warranted.

          Trial Registration

          ClinicalTrials.gov NCT004174248; https://clinicaltrials.gov/ct2/show/NCT04174248

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          Most cited references32

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          The Use of Mobile Apps and SMS Messaging as Physical and Mental Health Interventions: Systematic Review

          Background The initial introduction of the World Wide Web in 1990 brought around the biggest change in information acquisition. Due to the abundance of devices and ease of access they subsequently allow, the utility of mobile health (mHealth) has never been more endemic. A substantial amount of interactive and psychoeducational apps are readily available to download concerning a wide range of health issues. mHealth has the potential to reduce waiting times for appointments; eradicate the need to meet in person with a clinician, successively diminishing the workload of mental health professionals; be more cost effective to practices; and encourage self-care tactics. Previous research has given valid evidence with empirical studies proving the effectiveness of physical and mental health interventions using mobile apps. Alongside apps, there is evidence to show that receiving short message service (SMS) messages, which entail psychoeducation, medication reminders, and links to useful informative Web pages can also be advantageous to a patient’s mental and physical well-being. Available mHealth apps and SMS services and their ever improving quality necessitates a systematic review in the area in reference to reduction of symptomology, adherence to intervention, and usability. Objective The aim of this review was to study the efficacy, usability, and feasibility of mobile apps and SMS messages as mHealth interventions for self-guided care. Methods A systematic literature search was carried out in JMIR, PubMed, PsychINFO, PsychARTICLES, Google Scholar, MEDLINE, and SAGE. The search spanned from January 2008 to January 2017. The primary outcome measures consisted of weight management, (pregnancy) smoking cessation, medication adherence, depression, anxiety and stress. Where possible, adherence, feasibility, and usability outcomes of the apps or SMS services were evaluated. Between-group and within-group effect sizes (Cohen d) for the mHealth intervention method group were determined. Results A total of 27 studies, inclusive of 4658 participants were reviewed. The papers included randomized controlled trials (RCTs) (n=19), within-group studies (n=7), and 1 within-group study with qualitative aspect. Studies show improvement in physical health and significant reductions of anxiety, stress, and depression. Within-group and between-group effect sizes ranged from 0.05-3.37 (immediately posttest), 0.05-3.25 (1-month follow-up), 0.08-3.08 (2-month follow-up), 0.00-3.10 (3-month follow-up), and 0.02-0.27 (6-month follow-up). Usability and feasibility of mHealth interventions, where reported, also gave promising, significant results. Conclusions The review shows the promising and emerging efficacy of using mobile apps and SMS text messaging as mHealth interventions.
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            Understanding Internal Consistency Reliability Estimates: A Conceptual Primer on Coefficient Alpha

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              Statistics notes: blinding in clinical trials and other studies.

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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications (Toronto, Canada )
                2291-5222
                March 2020
                4 March 2020
                : 8
                : 3
                : e17084
                Affiliations
                [1 ] School of Nursing National Yang-Ming University Taipei City Taiwan
                [2 ] Department of Nursing Hsinchu Mackay Memorial Hospital Hsinchu Taiwan
                [3 ] Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan
                [4 ] Taiwan Breast Cancer Foundation Taipei Taiwan
                [5 ] Department of Surgery National Taiwan University Taipei Taiwan
                [6 ] Center for Patient Safety Research and Practice Brigham and Women’s Hospital Boston, MA United States
                [7 ] Harvard Medical School Boston, MA United States
                Author notes
                Corresponding Author: I-Ching Hou evita@ 123456ym.edu.tw
                Author information
                https://orcid.org/0000-0003-0520-8946
                https://orcid.org/0000-0002-2374-397X
                https://orcid.org/0000-0002-2865-6760
                https://orcid.org/0000-0001-9811-3422
                https://orcid.org/0000-0001-8155-3077
                https://orcid.org/0000-0001-9292-5382
                https://orcid.org/0000-0003-4597-0732
                Article
                v8i3e17084
                10.2196/17084
                7081131
                32130181
                aff8e145-e848-4d6c-8bdc-8613d5ea15f3
                ©I-Ching Hou, Hsin-Yi Lin, Shan-Hsiang Shen, King-Jen Chang, Hao-Chih Tai, Ay-Jen Tsai, Patricia C Dykes. Originally published in JMIR mHealth and uHealth (http://mhealth.jmir.org), 04.03.2020.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                History
                : 16 November 2019
                : 12 December 2019
                : 25 December 2019
                : 26 January 2020
                Categories
                Original Paper
                Original Paper

                breast cancer,mhealth app,self-management,quality of life

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