ArticleHealthcare (Basel, Switzerland)2021
Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
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- Inner ear signs and symptoms induced by antidepressants: a disproportionality analysis based on the FAERS database.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Development of the Hand Knob Position in the 10-20 System for a More Accurate Identification of the M1-HAND.Brain topography · 2025Article
- Impact of encounters on patient app use: results of a tethered mobile personal health record usage pattern analysis.BMC health services research · 2024Article
- Repurposing metformin to manage idiopathic or long COVID Tinnitus: self-report adopting a pathophysiological and pharmacological approach.Inflammopharmacology · 2024Review
- Evaluating the Usability of Electronic Patient-Reported Outcome Apps: Comment on a Symptom Management Platform for Outpatients With Advanced Cancer.JMIR formative research · 2023Article
- Independent factors that attenuate the effectiveness of fracture rehabilitation in improving activities of daily living in female patients aged 80 years and above.Aging clinical and experimental research · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Patient-generated health data (PGHD) can be managed easily by a mobile personal health record (mPHR) and can increase patient engagement. This study investigated the effect of PGHD functions on mPHR usage. We collected usage log data from an mPHR app, My Chart in My Hand (MCMH), for seven years. We analyzed the number of accesses and trends for each menu by age and sex according to the version-up. Generalized estimating equation (GEE) analysis was used to determine the likelihood of continuous app usage according to the menus and version-up. The total number of users of each version were 15,357 and 51,553, respectively. Adult females under 50 years were the most prevalent user group (30.0%). The "My Chart" menu was the most accessed menu, and the total access count increased by ~10 times after the version-up. The "Health Management" menu designed for PGHD showed the largest degree of increase in its likelihood of continuous usage after the version-up (1.245;
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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.