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Determinants of Telemedicine Service Use Among Middle-Aged and Older Adults in Germany During the COVID-19 Pandemic: Cross-Sectional Survey Study

Determinants of Telemedicine Service Use Among Middle-Aged and Older Adults in Germany During the COVID-19 Pandemic: Cross-Sectional Survey Study

Moreover, the different categories of determinants, which were only partly included in single studies (eg, psychosocial or COVID-19–related determinants), should be explored further. Middle-aged and older individuals represent the largest age group in the German population [34]. Considering population aging, the proportion of middle-aged and older adults will grow even further in the near future in Germany.

Ariana Neumann, Hans-Helmut König, André Hajek

JMIR Aging 2024;7:e50938

Electronic Medical Record System Use and Determinants in Ethiopia: Systematic Review and Meta-Analysis

Electronic Medical Record System Use and Determinants in Ethiopia: Systematic Review and Meta-Analysis

We developed a protocol and searched Pub Med, MEDLINE, Web of Sciences, African Journals On Line, EMBASE, and Scopus to research EMR use and determinants in Ethiopia. To find publications, the following search strategy is used to do extensive searches in web-based databases: [“electronic medical record’ OR ‘electronic health record” OR ‘electronic patient record’ OR ‘Decision Support Systems’] AND [‘determinant’ OR ‘associated factors’ OR ‘barriers’].

Masresha Derese Tegegne, Sisay Maru Wubante, Mulugeta Hayelom Kalayou, Mequannent Sharew Melaku, Binyam Tilahun, Tesfahun Melese Yilma, Hiwote Simane Dessie

Interact J Med Res 2023;12:e40721

Determinants of e-Mental Health Use During COVID-19: Cross-sectional Canadian Study

Determinants of e-Mental Health Use During COVID-19: Cross-sectional Canadian Study

Table 1 provides an overview of the independent and dependent variables used for analysis, categorized according to Andersen and Newman’s [19,20] framework for individual determinants of health service utilization. Dependent and independent variables categorized according to Andersen and Newman’s [19,20] framework for individual determinants of health service utilization.

Ellie Yu, Bowen Xu, Lydia Sequeira

J Med Internet Res 2022;24(11):e39662

Determinants of Physical Activity in the Cardiac Population: Protocol for a Systematic Review

Determinants of Physical Activity in the Cardiac Population: Protocol for a Systematic Review

While there have been individual observational studies and randomized controlled trials that have captured quantitative data on determinants of physical activity in the CVD population, to our knowledge to date, there have not been any systematic reviews and meta-analyses of these quantified associations between determinants and physical activity behavior.

Johanna Gutenberg, Stefan Tino Kulnik, Josef Niebauer, Rik Crutzen

JMIR Res Protoc 2022;11(9):e39188

Regional Utilization of Preventive Services in the 55-Plus Age Group: Protocol for a Mixed Methods Study

Regional Utilization of Preventive Services in the 55-Plus Age Group: Protocol for a Mixed Methods Study

Several studies have shown that numerous determinants and barriers influence the utilization of preventive services in Germany. The level of utilization differs according to social status, sex, age, residential region (eastern and western Germany), health status, and health-related behavior, among other factors [15-18].

Ilona Hrudey, Annemarie Minow, Svenja Walter, Stefanie March, Enno Swart, Christoph Stallmann

JMIR Res Protoc 2022;11(1):e33512

Analysis of Social Determinants and the Utilization of Pediatric Tele–Urgent Care During the COVID-19 Pandemic: Cross-sectional Study

Analysis of Social Determinants and the Utilization of Pediatric Tele–Urgent Care During the COVID-19 Pandemic: Cross-sectional Study

Social determinants of health are paramount to the use of tele–urgent care because of the widening digital divide that occurs as a result of differences in individual socioeconomic characteristics [8]. Social determinants of health can be defined as the circumstances that impact the health of individuals from birth to death including socioeconomic, educational, and access to health care [9].

Saif Khairat, Phillip McDaniel, Matthew Jansen, Tia Francis, Barbara Edson, Robert Gianforcaro

JMIR Pediatr Parent 2021;4(3):e25873

A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping

A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping

Several authors have proposed theoretical models to explain the determinants of clinical practice change [32]. Similarly, several models attempt to explain the factors influencing the user’s decision to use a technology system routinely [33,34]. Furthermore, several recent studies have identified determinants that are specific to the acceptance of CDSSs [35-40]. When seen together, these frameworks amount to too many concepts for a reasonable research project to use effectively.

Jhon Camacho, Manuela Zanoletti-Mannello, Zach Landis-Lewis, Sandra L Kane-Gill, Richard D Boyce

J Med Internet Res 2020;22(8):e18388

An International Study on the Determinants of Poor Sleep Amongst 15,000 Users of Connected Devices

An International Study on the Determinants of Poor Sleep Amongst 15,000 Users of Connected Devices

Therefore, based on data from an international sample of sleep information from more than 15,000 customers of the consumer electronics company Withings (now Nokia), we have evaluated several determinants of poor total and deep sleep quantity and determined a ratio of deep/total sleep duration that indicates poor sleep.

Guy Fagherazzi, Douae El Fatouhi, Alice Bellicha, Amin El Gareh, Aurélie Affret, Courtney Dow, Lidia Delrieu, Matthieu Vegreville, Alexis Normand, Jean-Michel Oppert, Gianluca Severi

J Med Internet Res 2017;19(10):e363