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Exploration of Features of Mobile Applications for Medication Adherence in Asia: Narrative Review

Exploration of Features of Mobile Applications for Medication Adherence in Asia: Narrative Review

Reminders were the most commonly used feature, while patient community forums were the least integrated feature in the app design. In total, 12 (85.7%) apps featured a reminder function primarily aimed at reminding patients to take their medications as scheduled [29-36,38-40,42]. Some of these apps also provided reminders for follow-up appointments [30,31,33,35,40], prescription refills [40], or monitoring health status (eg, body weight, blood pressure, or blood sugar) [31,33,35,40].

Tzu Wang, Yen-Ming Huang, Hsun-Yu Chan

J Med Internet Res 2024;26:e60787

Preferences for Text Messaging Supports During Youth Transition to Adult Mental Health Services: Theory-Informed Modified e-Delphi Study

Preferences for Text Messaging Supports During Youth Transition to Adult Mental Health Services: Theory-Informed Modified e-Delphi Study

A high level of consensus on importance ratings was observed in 19% (4/21) of technical feature and functionality items (Table 4). Only 1 primary task support–focused item reached the high consensus threshold: “information is tailored to the specific mental health condition of the end user” (71/100, 71%).

Negar Vakili, Janet A Curran, Roisin Walls, Debbie Phillips, Alanna Miller, Christine Cassidy, Lori Wozney

JMIR Form Res 2024;8:e51690

Relationship Between Product Features and the Prices of e-Cigarette Devices Sold in Web-Based Vape Shops: Comparison Study Using a Linear Regression Model

Relationship Between Product Features and the Prices of e-Cigarette Devices Sold in Web-Based Vape Shops: Comparison Study Using a Linear Regression Model

One important feature distinguishing ECs from cigarettes is the wide range of EC models, ranging from basic disposable models to more complex rechargeable devices, which may affect product appeal, use patterns, and health consequences. The use of certain EC devices such as mods and pods may be associated with more frequent EC use and nicotine dependence symptoms [5-7].

Yanyun He, Qian Yang, Yousef Alish, Shaoying Ma, Zefeng Qiu, Jian Chen, Theodore Wagener, Ce Shang

JMIR Form Res 2024;8:e49276

Usability and Perception of a Wearable-Integrated Digital Maternity Record App in Germany: User Study

Usability and Perception of a Wearable-Integrated Digital Maternity Record App in Germany: User Study

Oral remarks and comments were aggregated into 3 categories: feature requests, comments about user experience, and identified bugs. A total of 14 participants scheduled appointments for study participation. Two (P6, P7) did not fulfill the inclusion criteria. The screen-recording data of one participant (P3) could not be saved due to technical issues. This participant was thus excluded. Finally, 11 participants were included in the evaluation.

Michael Nissen, Carlos A Perez, Katharina M Jaeger, Hannah Bleher, Madeleine Flaucher, Hanna Huebner, Nina Danzberger, Adriana Titzmann, Constanza A Pontones, Peter A Fasching, Matthias W Beckmann, Bjoern M Eskofier, Heike Leutheuser

JMIR Pediatr Parent 2023;6:e50765

Designing a Collaborative Patient-Centered Digital Health Platform for Pediatric Diabetes Care in British Columbia: Formative Needs Assessment by Caregivers of Children and Youths Living With Type 1 Diabetes and Health Care Providers

Designing a Collaborative Patient-Centered Digital Health Platform for Pediatric Diabetes Care in British Columbia: Formative Needs Assessment by Caregivers of Children and Youths Living With Type 1 Diabetes and Health Care Providers

In a systematic review that evaluated 656 diabetes health apps for i OS and Android in patients 50 years and older, it was found that 54% of the apps were limited to providing 1 function, which was a documentation feature [3]. This entailed manual recording of blood glucose values, monitoring of food, physical activity, and medication frequency, often linked with a reminder function [3]. However, only 18% of the diabetes apps allowed analysis of the recorded data and graphical results display [3].

Fatema S Abdulhussein, Susan Pinkney, Matthias Görges, Tibor van Rooij, Shazhan Amed

JMIR Pediatr Parent 2023;6:e46432

Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review

Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review

Features of m Health apps in the scoping literature review. a Indicates presence of the feature. While 5 of the included studies were descriptive [25-29], 1 study was experimental [30] and 1 study was quasi-experimental [31]. The descriptive studies used a variety of methodologies. Three were feasibility studies including combinations of app trials, patient interviews, and expert focus groups [25,28,29].

Shannon Vaffis, Soluna Whaley, David Rhys Axon, Elizabeth Hall-Lipsy, Ana Hincapie, Marion Slack, Terri Warholak

JMIR Cancer 2023;9:e37330

Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis

Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis

However, aside from this feature, none of the apps collect any user-identifying data and only exchange alternating IDs via Bluetooth. If the GAEN is used, the tracing and identification of contact events with people who test positive for COVID-19 are locally conducted on users’ smartphones in a decentralized manner. The apps of Singapore and France also trace contacts locally on smartphones via user logs.

Jan-Patrick Weiß, Moritz Esdar, Ursula Hübner

JMIR Mhealth Uhealth 2021;9(3):e27232

Features Constituting Actionable COVID-19 Dashboards: Descriptive Assessment and Expert Appraisal of 158 Public Web-Based COVID-19 Dashboards

Features Constituting Actionable COVID-19 Dashboards: Descriptive Assessment and Expert Appraisal of 158 Public Web-Based COVID-19 Dashboards

Knowing the audience and their information needs was identified as a key actionability feature, which corresponds with the Lasswell model for effective communication ([1,41]; Barbazza et al, unpublished data, 2021). However, clear reporting of a dashboard’s purpose (its “why”) and audience (for “whom”) was infrequent. This may be explained in part by the fact that the majority of the dashboards were developed by public authorities and hosted on existing web pages.

Damir Ivanković, Erica Barbazza, Véronique Bos, Óscar Brito Fernandes, Kendall Jamieson Gilmore, Tessa Jansen, Pinar Kara, Nicolas Larrain, Shan Lu, Bernardo Meza-Torres, Joko Mulyanto, Mircha Poldrugovac, Alexandru Rotar, Sophie Wang, Claire Willmington, Yuanhang Yang, Zhamin Yelgezekova, Sara Allin, Niek Klazinga, Dionne Kringos

J Med Internet Res 2021;23(2):e25682