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Digital Solutions for Health Services and Systems Management: Narrative Review of Certified Software Features in the Brazilian Market

Digital Solutions for Health Services and Systems Management: Narrative Review of Certified Software Features in the Brazilian Market

This study’s objective is to review commercially available solutions in health care management, with a specific focus on their features and functionalities. To understand off-the-shelf digital solutions and their functionalities, this study included identification, screening, extraction, and qualitative synthesis phases.

Ericles Andrei Bellei, Pedro Rafael Domenighi, Carla Maria Dal Sasso Freitas, Ana Carolina Bertoletti De Marchi

JMIR Med Inform 2024;12:e65281

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

The persuasive system design (PSD) model has been used extensively to map youth mental health interventions [31,32] and conceptualize features and functionality that might promote engagement and adherence to digital health interventions [33] in 4 main ways.

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

JMIR Form Res 2024;8:e51690

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

Identifying Patterns of Smoking Cessation App Feature Use That Predict Successful Quitting: Secondary Analysis of Experimental Data Leveraging Machine Learning

The many capabilities, features, and functionalities that can be incorporated into smoking cessation apps have the potential to increase their effectiveness. Apps can include interactive and multimedia content, and offer tailored features to meet the needs and preferences of different types of users [13].

Leeann Nicole Siegel, Kara P Wiseman, Alex Budenz, Yvonne Prutzman

JMIR AI 2024;3:e51756

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

Given that ECs have a wide range of configurations and features, different tax bases may lead to different tax burdens on different EC types (eg, vape pens vs disposables) [26]. The taxation policies also differ by state regarding whether to tax devices, which are the more durable components compared to refillable cartridges or e-liquid in open-system ECs. A better understanding of EC devices and their costs is needed to guide taxation policies for devices.

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

JMIR Form Res 2024;8:e49276

Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size

Identifying Frailty in Older Adults Receiving Home Care Assessment Using Machine Learning: Longitudinal Observational Study on the Role of Classifier, Feature Selection, and Sample Size

We compared the average AUC of each classifier as the number of features increased for 6-month mortality prediction (Figure 2). Overall, the performance of all methods improved considerably as the number of features increased. Specifically, in most scenarios, when the number of features increased to 30, four classifiers demonstrated significantly higher AUC than the inter RAI-HC Frailty Scale. LASSO regression generally demonstrated higher or comparable AUC than RF, MLP, and XGBoost.

Cheng Pan, Hao Luo, Gary Cheung, Huiquan Zhou, Reynold Cheng, Sarah Cullum, Chuan Wu

JMIR AI 2024;3:e44185

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

Chang et al [22] developed a system integrating web-based maternity records, including explanations about individual tests; self-care journals for weight, blood pressure, movement and contraction tracking; and educational features. A survey administered to 68 pregnant participants revealed that the pregnancy calculator, estimated date of birth, and body calculator were particularly relevant for pregnant women, and 80.9% of participants stated the system was useful for their pregnancy.

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

Evaluating the Effectiveness of Apps Designed to Reduce Mobile Phone Use and Prevent Maladaptive Mobile Phone Use: Multimethod Study

Evaluating the Effectiveness of Apps Designed to Reduce Mobile Phone Use and Prevent Maladaptive Mobile Phone Use: Multimethod Study

Such categorization of app features is essential because each feature could support different cognitive processes [20]. A classification of apps and browser extensions for digital self-control resulted in 4 features based on functionality: block or removal, self-tracking, goal advancement, and reward or punishment [21]. A recent review of Google’s Digital Wellbeing apps delineated 2 main categories of features: self-monitoring and interventions [13].

Fety Ilma Rahmillah, Amina Tariq, Mark King, Oscar Oviedo-Trespalacios

J Med Internet Res 2023;25:e42541

Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features

Behavior Change App for Self-management of Gestational Diabetes: Design and Evaluation of Desirable Features

Therefore, the aim of this study is to gather the experience of women with GDM with implementations of the desirable features in a GDM app prototype. To investigate how the desirable features of GDM apps [14] should be incorporated, our research design consisted of 2 phases: First, we designed a GDM prototype app consisting of implementations of the features [14], and second, we evaluated the experiences of these features with semistructured interviews.

Mikko Kytö, Saila Koivusalo, Antti Ruonala, Lisbeth Strömberg, Heli Tuomonen, Seppo Heinonen, Giulio Jacucci

JMIR Hum Factors 2022;9(4):e36987

Analysis of the Features Important for the Effectiveness of Physical Activity–Related Apps for Recreational Sports: Expert Panel Approach

Analysis of the Features Important for the Effectiveness of Physical Activity–Related Apps for Recreational Sports: Expert Panel Approach

Another method to evaluate the quality of PA–related apps is by assessing technical features or design. The m Health taxonomy of Olla and Shimskey examines features such as data management, user interface, and device type [38]. The MARS evaluated technical features as well, such as having an app community and containing data protection using a password [35]. However, these technical features were not included in the quality score of the app.

Joan Dallinga, Mark Janssen, Jet van der Werf, Ruben Walravens, Steven Vos, Marije Deutekom

JMIR Mhealth Uhealth 2018;6(6):e143