Evidence map›Paper›PMID 32364508›Full record

ArticleJMIR mHealth and uHealth2020

A Mobile Technology for Collecting Patient-Reported Physical Activity and Distress Outcomes: Cross-Sectional Cohort Study.

Miyeon Jung, SaeByul Lee, Jisun Kim, HeeJeong Kim, BeomSeok Ko, Byung Ho Son, Sei-Hyun Ahn, Yu Rang Park, Daegon Cho, Haekwon Chung and 5 more

Registry-linked trialAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03072966 (Development of Distress Management Algorithms Using Mobile Device Based Health Logs in Breast Cancer Survivors), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03072966 nacompletednot on this map

Development of Distress Management Algorithms Using Mobile Device Based Health Logs in Breast Cancer Survivors

TypeinterventionalSponsorAsan Medical CenterRan2017 to 2018Enrolled160ConditionsBreast Cancer, Quality of LifeArmsWearable device (Fitbit Charge HR® or Fitbit Alta ®)
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. An Overview of Telehealth in Total Joint Arthroplasty.HSS journal : the musculoskeletal journal of Hospital for Special Surgery · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Miyeon Jung *Korea Advanced Institute of Science and Technology, Seoul, Republic of Korea.ORCID 0000-0003-3064-6454
SaeByul Lee *Division of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-3370-6937
Jisun KimDivision of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-4884-6107
HeeJeong KimDivision of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-4509-953X
BeomSeok KoDivision of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0001-7831-7874
Byung Ho SonDivision of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-6757-0388
Sei-Hyun AhnDivision of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-6705-7867
Yu Rang ParkDepartment of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-4210-2094
Daegon ChoKorea Advanced Institute of Science and Technology, Seoul, Republic of Korea.ORCID 0000-0002-3279-8569
Haekwon ChungSwallaby, Seoul, Republic of Korea.ORCID 0000-0003-3214-8934
Hye Jin ParkDivision of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-5961-212X
Minsun LeeDivision of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-0120-4174
Jong Won LeeDivision of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0001-7875-1603
Seockhoon ChungDepartment of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-9798-3642
Il Yong ChungDivision of Breast Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0001-5271-8530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic patient-reported outcome (PROs) provides a fast and reliable assessment of a patient's health-related quality of life. Nevertheless, using PRO in the traditional paper format is not practical for clinical practice due to the limitations associated with data analysis and management. A questionnaire app was developed to address the need for a practical way to group and use distress and physical activity assessment tools.

objectiveThe purpose of this study was to assess the level of agreement between electronic (mobile) and paper-and-pencil questionnaire responses.

methodsWe validated the app version of the distress thermometer (DT), International Physical Activity Questionnaire (IPAQ), and Patient Health Questionnaire-9 (PHQ-9). A total of 102 participants answered the paper and app versions of the DT and IPAQ, and 96 people completed the PHQ-9. The study outcomes were the correlation of the data between the paper-and-pencil and app versions.

resultsA total of 106 consecutive breast cancer patients were enrolled and analyzed for validation of paper and electronic (app) versions. The Spearman correlation values of paper and app surveys for patients who responded to the DT questionnaire within 7 days, within 3 days, and on the same day were .415 (P<.001), .437 (P<.001), and .603 (P<.001), respectively. Similarly, the paper and app survey correlation values of the IPAQ total physical activity metabolic equivalent of task (MET; Q2-6) were .291 (P=.003), .324 (P=.005), and .427 (P=.01), respectively. The correlation of the sum of the Patient Health Questionnaire-9 (Q1-9) according to the time interval between the paper-based questionnaire and the app-based questionnaire was .469 for 14 days (P<.001), .574 for 7 days (P<.001), .593 for 3 days (P<.001), and .512 for the same day (P=.03). These were all statistically significant. Similarly, the correlation of the PHQ (Q10) value according to the time interval between the paper-based questionnaire and the app-based questionnaire was .283 for 14 days (P=.005), .409 for 7 days (P=.001), .415 for 3 days (P=.009), and .736 for the same day (P=.001). These were all statistically significant. In the overall trend, the shorter the interval between the paper-and-pencil questionnaire and the app-based questionnaire, the higher the correlation value.

conclusionsThe app version of the distress and physical activity questionnaires has shown validity and a high level of association with the paper-based DT, IPAQ (Q2-6), and PHQ-9. The app-based questionnaires were not inferior to their respective paper versions and confirm the feasibility for their use in clinical practice. The high correlation between paper and mobile app data allows the use of new mobile apps to benefit the overall health care system.

trial registrationClinicalTrials.gov NCT03072966; https://clinicaltrials.gov/ct2/show/NCT03072966.

Indexed as

ExerciseQuality of LifeCohort StudiesCross-Sectional StudiesHumansPatient Reported Outcome MeasuresTechnologybreast neoplasmsmobile appspatient-reported outcome measures (PROMs)quality of lifequestionnairetelemedicinevalidation

Identifiers

PMID32364508
PMCPMC7235805

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.