ArticleJournal of medical systems2018
Usability Testing of a Smartphone Application for Delivering Qigong Training.
Article in Journal of medical systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Effectiveness of Using Virtual Reality-Supported Exercise Therapy for Upper Extremity Motor Rehabilitation in Patients With Stroke: Systematic Review and Meta-analysis of Randomized Controlled Trials.Journal of medical Internet research · 2022Pooled it
- Effects of technology-supported exercise programs on the knee pain, physical function, and quality of life of individuals with knee osteoarthritis and/or chronic knee pain: A systematic review and meta-analysis of randomized controlled trials.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Effectiveness of Mobile App-Assisted Self-Care Interventions for Improving Patient Outcomes in Type 2 Diabetes and/or Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2020Pooled it
- Optimizing Digital Cardiac Rehabilitation Using the Multiphase Optimization Strategy: Mixed Methods Feasibility Study.JMIR formative research · 2026Trial
- Perceptions of Patients With Stroke Regarding an Immersive Virtual Reality-Based Exercise System for Upper Limb Rehabilitation: Questionnaire and Interview Study.JMIR serious games · 2025Article
- Development and usability testing of a technology-based intervention for promoting physical activity among post-treatment cancer survivors (WExercise) using the multi-process action control framework.Internet interventions · 2024Article
- Consumers' Preferences for Purchasing mHealth Apps: Discrete Choice Experiment.JMIR mHealth and uHealth · 2023Article
- Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality.BMC medical informatics and decision making · 2023Article
- The use and effects of telemedicine on complementary, alternative, and integrative medicine practices: a scoping review.BMC complementary medicine and therapies · 2023Article
- A discrete choice experiment to examine the factors influencing consumers' willingness to purchase health apps.mHealth · 2023Article
- Development of a Mobile-Based Self-care Application for Patients with Breast Cancer-Related Lymphedema in Iran.Applied clinical informatics · 2022Article
- Development, usability and quality evaluation of the resilient mobile application for women with breast cancer.Health science reports · 2022Article
- Nursing research on intimate partner violence in China: A scoping review.The Lancet regional health. Western Pacific · 2020Article
- Article
- A mobile app implementing the international classification of functioning, disability and health rehabilitation set.BMC medical informatics and decision making · 2020Article
- Article
- Willingness to pay for health apps, its sociodemographic correlates, and reasons for being unwilling to pay.Digital healthArticle
- Review
- Usability of a wearable device for home-based upper limb telerehabilitation in persons with stroke: A mixed-methods study.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
A Qigong App was designed to promote a more flexible mode of delivering qigong training than face-to-face, with which individuals can access to this mind-body aerobic exercise more readily. The objective of the study was to examine the usability and acceptance of the App. Target participants were Cantonese- or Putonghua-speaking adults and owned a smartphone. First we conducted a pilot trial with 14 participants to examine the navigation feature of the App, followed by a main test. In the main test, another 100 participants reviewed the Qigong App and filled in a questionnaire on usability (System Usability Scale) and user acceptance (i.e., attitude, perceived ease of use, perceived usefulness, intention to use, and satisfaction), of which 89 completed the same questionnaire in a two-week interval. Qualitative feedback yielded from the pilot trial was summarized, and descriptive statistics, t-tests, and linear regressions were used in quantitative data analysis of the main test. The mean composite usability score in the main test was satisfactory (77.62 out of 100). Descriptive analyses showed that the majority of users found the Qigong App pleasant, user friendly, and useful for learning qigong. Participants indicated positive ratings for the items assessing usability and acceptance of the App. Regression results showed that certain characteristics predicted the ratings for some items, e.g., age as a predictor of scores of usability and perceived ease of use. The study provided researchers and practitioners with evidence of the usability and acceptance of an alternative qigong training mode that can enhance participants' access and motivation to practice qigong.
Indexed as
Identifiers
30187139What OpenQuestion holds
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.