Comparison of Paper Diaries, Text Messages and Smartphone App to Track Bleeding and Other Symptoms for Contraceptive Studies

Josephy, Tatiana; Sanan, Sajal; Thayer, Erin K.; Godfrey, Emily M.

doi:10.1007/s10995-021-03362-6

Cited by 2 publications

(3 citation statements)

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“…Tracking symptoms electronically, particularly with an app, may be advantageous over paper/pencil methods because of increased accessibility, compliance, accuracy, and completeness 29 . The use of smartphone apps can also provide ecologically, momentarily assessed data to health care providers if the app allows for sharing 30 . Ecological momentary assessment, which involves repeated sampling of participant's current experiences in real time, in their natural environment, has been shown to reduce recall bias and improve measurement fidelity 31,32 .…”

Section: Discussionmentioning

confidence: 99%

“…29 The use of smartphone apps can also provide ecologically, momentarily assessed data to health care providers if the app allows for sharing. 30 Ecological momentary assessment, which involves repeated sampling of participant's current experiences in real time, in their natural environment, has been shown to reduce recall bias and improve measurement fidelity. 31,32 Users appreciate the ability to review symptom history graphs and summary.…”

Section: Purposes and Targetsmentioning

confidence: 99%

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Assessment of Mobile Health Applications for Management of Knee and/or Hip Osteoarthritis Using the Mobile Application Rating Scale

et al. 2022

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Background Mobile health applications (apps) can help individuals with knee and/or hip osteoarthritis (OA) learn about, monitor, and manage their condition. These apps have not been formally evaluated. Objective The aim of this study was to evaluate the publicly available mobile health apps for individuals with knee and/or hip OA using a systematic review. Methods We searched the Apple App Store, Android Google Play, and Amazon Appstore using the terms “arthritis,” “osteoarthritis,” “hip OA,” “knee OA,” “hip,” “knee,” “rehabilitation,” “rehab,” and “physical therapy” in December of 2021. Applications that met the inclusion/exclusion criteria were reviewed using the Mobile Application Rating Scale (MARS; 29 items across 6 sections, each rated at 1–5). Results Among 1104 identified apps, 94 met the inclusion/exclusion criteria for MARS appraisal. Fourteen apps met the predetermined score thresholds for final summary. Of the 14 apps appraised, the total overall mean app score on the MARS ranged from 3.12 to 4.20 (mean, 3.51 ± 0.37). Although app features varied, common features were symptom tracking, exercise recommendations, education, goal setting, and improving well-being. Many apps allowed for sharing with health care providers and included some measures to protect privacy. Jointfully Osteoarthritis was the top-rated app in both the Apple App Store and Android Google Play. Conclusions The majority of the apps we identified for knee and/or hip OA did not meet predetermined score thresholds for final summary. Many failed to provide comprehensive education and deliver management plans and lacked scientific testing. Future research should focus on apps that fit the needs of health care providers and patients including quality information, structured exercise programs tailored to individual needs, secure communication methods, and health information protection.

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Section: Discussionmentioning

confidence: 99%

Section: Purposes and Targetsmentioning

confidence: 99%

Assessment of Mobile Health Applications for Management of Knee and/or Hip Osteoarthritis Using the Mobile Application Rating Scale

et al. 2022

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“…We counter that menstrual cycle data from U.S. Food and Drug Administration–cleared applications, such as our data source Natural Cycles, are more reliable than the current standard, paper diaries. 2 Finally, the authors state that menstrual disturbances appear to be transient. We argue that further research is needed; we created our original data set to coincide with the initial vaccine campaign and, thus, did not have enough cycles after vaccine exposure to sufficiently address this issue.…”

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confidence: 99%