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      A novel smartphone application for the informal caregivers of cancer patients: Usability study

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          Abstract

          Informal caregivers are a critical source of support for cancer patients. However, their perspectives are not routinely collected, despite health impacts related to the burden of caregiving. We created the TOGETHERCare smartphone application (app) to collect observer-reported outcomes regarding the cancer patient’s health and caregiver’s perceptions of their own mental and physical health, and to provide tips and resources for self-care and patient care. We enrolled 54 caregivers between October 2020 and March 2021 from Kaiser Permanente Northern California (KPNC), an integrated healthcare system. Fifty caregivers used the app for approximately 28 days. Usability and acceptability were assessed using questions from the Mobile App Rating Scale (MARS), the System Usability Scale (SUS), the Net Promoter Score (NPS), and semi-structured interviews. The caregivers’ mean age was 54.4 years, 38% were female and 36% were non-White. The SUS total mean score was 83.4 (SD = 14.2), for a percentile rank of 90–95 (“excellent”). Median MARS responses to the functionality questions were also high. The NPS score of 30 at the end of the study indicated that most caregivers would recommend the app. Themes from semi-structured interviews were consistent across the study period and indicated that the app was easy to use and helpful. Caregivers indicated a need for feedback from the app, suggested some changes to the wording of questions, the app’s visuals, and timing of notifications. This study demonstrated that caregivers are willing to complete frequent surveys about themselves and their patients. The app is unique because it provides a remote method to collect caregivers’ observations about the patient that may be useful for clinical care. To our knowledge, TOGETHERCare is the first mobile app developed specifically to capture adult cancer patient symptoms from the informal caregiver’s perspective. Future research will examine whether use of this app can help improve patient outcomes.

          Author summary

          Family members and friends taking care of their loved ones who have been diagnosed with cancer often experience anxiety and depression due to the caregiving burden. Being able to report symptoms the loved one experiences as well as their own symptoms may provide health benefits to both the cancer patient and the caregiver. We created a smartphone app for informal caregivers of cancer patients (TOGETHERCare) to collect this information and to provide resources for self and patient care. Over 28 days, we tested usability of the application with caregivers of patients at Kaiser Permanente Northern California. The application included three surveys for caregivers to rate ease of learning and use. The average score on the three different rating scales was high and considered “excellent” compared with scores from other applications. Comments that caregivers provided during interviews also indicated that they found it easy to use and helpful. This study documents that caregivers are willing to complete frequent surveys about their loved ones and themselves. Based on the findings presented here and in other manuscripts, we hope to do further research to determine whether this app can help improve patient outcomes.

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          Three approaches to qualitative content analysis.

          Content analysis is a widely used qualitative research technique. Rather than being a single method, current applications of content analysis show three distinct approaches: conventional, directed, or summative. All three approaches are used to interpret meaning from the content of text data and, hence, adhere to the naturalistic paradigm. The major differences among the approaches are coding schemes, origins of codes, and threats to trustworthiness. In conventional content analysis, coding categories are derived directly from the text data. With a directed approach, analysis starts with a theory or relevant research findings as guidance for initial codes. A summative content analysis involves counting and comparisons, usually of keywords or content, followed by the interpretation of the underlying context. The authors delineate analytic procedures specific to each approach and techniques addressing trustworthiness with hypothetical examples drawn from the area of end-of-life care.
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            The qualitative content analysis process.

            This paper is a description of inductive and deductive content analysis. Content analysis is a method that may be used with either qualitative or quantitative data and in an inductive or deductive way. Qualitative content analysis is commonly used in nursing studies but little has been published on the analysis process and many research books generally only provide a short description of this method. When using content analysis, the aim was to build a model to describe the phenomenon in a conceptual form. Both inductive and deductive analysis processes are represented as three main phases: preparation, organizing and reporting. The preparation phase is similar in both approaches. The concepts are derived from the data in inductive content analysis. Deductive content analysis is used when the structure of analysis is operationalized on the basis of previous knowledge. Inductive content analysis is used in cases where there are no previous studies dealing with the phenomenon or when it is fragmented. A deductive approach is useful if the general aim was to test a previous theory in a different situation or to compare categories at different time periods.
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              Toxicity and response criteria of the Eastern Cooperative Oncology Group.

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: Data curationRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: Writing – original draft
                Role: Editor
                Journal
                PLOS Digit Health
                PLOS Digit Health
                plos
                PLOS Digital Health
                Public Library of Science (San Francisco, CA USA )
                2767-3170
                3 March 2023
                March 2023
                : 2
                : 3
                : e0000173
                Affiliations
                [1 ] Medable Inc., Palo Alto, California, United States of America
                [2 ] Estenda Solutions, Inc, Wayne, Pennsylvania, United States of America
                [3 ] Kaiser Permanente Northern California, San Francisco Medical Center, San Francisco, California, United States of America
                [4 ] Kaiser Permanente Northern California, Division of Research, Oakland, California, United States of America
                University of New South Wales, AUSTRALIA
                Author notes

                IOG, SWD, and RY are employed by Medable Inc., which developed the TOGETHERCare app with funding from the National Institutes of Health. IOG and RY are also Medable stockholders. AI, SJA, MER, and SJF were all paid under subcontracts with Medable, Inc.

                Author information
                https://orcid.org/0000-0003-0328-921X
                https://orcid.org/0000-0002-4667-9632
                https://orcid.org/0000-0001-6290-5196
                Article
                PDIG-D-22-00170
                10.1371/journal.pdig.0000173
                9983832
                36867639
                05914a92-2922-46da-88cb-bd9f842c44bf
                © 2023 Oakley-Girvan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 June 2022
                : 29 November 2022
                Page count
                Figures: 0, Tables: 4, Pages: 16
                Funding
                Funded by: National Cancer Institute
                Award ID: HHSN261201700030C
                Award Recipient :
                Research reported in this publication was partially supported by the National Cancer Institute of the National Institutes of Health under contract number HHSN261201700030C, which provided partial salaries for IOG, RY, SJF, SA, MER, AK, and SWD. The NIH grant also financially supported the participation of a project manager and external subcontractors. IOG, RY, and SWD received salaries as employees of Medable ( www.Medable.com). Additional Medable staff assisted with data analysis. The funders (NIH) had no role in study design, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Health Care
                Caregivers
                Medicine and Health Sciences
                Oncology
                Cancers and Neoplasms
                Computer and Information Sciences
                Software Engineering
                Computer Software
                Apps
                Engineering and Technology
                Software Engineering
                Computer Software
                Apps
                Research and Analysis Methods
                Research Design
                Survey Research
                Surveys
                Medicine and Health Sciences
                Health Care
                Patients
                Medicine and Health Sciences
                Mental Health and Psychiatry
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Gynecologic Cancers
                Medicine and Health Sciences
                Gastroenterology and Hepatology
                Gastrointestinal Cancers
                Custom metadata
                This work was conducted, in part, with NIH Small Business Innovation Research (SBIR) funding. Due to the sensitive nature of the data captured, the data release requirements of the KPNC subcontract, and the intellectual property associated with this work, all requests for data should be directed to the Chair of the Publication Committee, Dr. Oakley-Girvan ( Ingrid@ 123456medable.com ). Requests for data will be considered by the publication committee under a data use agreement and follow strict guidelines, including HIPAA regulations, regarding data use and the purpose of the analysis.

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