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Skip search results from other journals and go to results- 8 Journal of Medical Internet Research
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An example of this includes sociological trust theory—a bridge between a broad lens of culturally informed design and attention to trust or distrust.
J Med Internet Res 2024;26:e53685
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Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder
Briefly, this observational study collected multiple streams of digital data over a 12-week study period—EMA data from a smartphone app, passive sensor data through a smartphone and a smartwatch, and social media data from participants’ social media accounts. Questionnaires, electronic health record (EHR) data, and claims data were also collected.
J Med Internet Res 2023;25:e45556
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For each substance, a score of 1 was classified as “problem use” (low-risk substance use), whereas a score of 2 or higher was classified as “high-risk substance use.” We collected participants’ opinions about HIV treatment using a 10-item questionnaire [27]. Each question was presented as a visual analog scale (eg, slider) with “strongly disagree” and “strongly agree” anchoring the 2 extremes.
JMIR Form Res 2022;6(9):e35648
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Historically, health treatment intervention research has infrequently been conducted with people who identify as a member of one of the underrepresented groups as a principal focus; this is equally true for the substance use and substance use disorder (SUD) treatment (SUTx) field [2].
JMIR Res Protoc 2022;11(5):e34508
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Momentary Self-regulation: Scale Development and Preliminary Validation
A methodologically and psychometrically sound metric that precisely and sensitively captures malleable processes involved in self-regulation in a real-world setting may enable a more contextually informed understanding of self-regulatory processes.
JMIR Ment Health 2022;9(5):e35273
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Scale-up of Digital Innovations in Health Care: Expert Commentary on Enablers and Barriers
To also consider a practical perspective, experts of digital health services gathered at a workshop. The results of the workshop combined practice- and research-based perspectives, which were matched with theoretical insights in this paper. Therefore, this paper goes one step further toward proposing a solution for the issue of scaling up digital health innovations by identifying and discussing barriers and enablers from a holistic point of view.
J Med Internet Res 2022;24(3):e24582
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Workshop on Implementation Science and Digital Therapeutics for Behavioral Health
The research-to-practice gap is a significant challenge to the health care field, and translation of evidence-based practices for substance use and mental health conditions is no exception [1-3]. Recent data indicate only 11% of people in the United States with a substance use condition received treatment, and fewer than half (43%) of adults with a mental health condition received treatment [4].
JMIR Ment Health 2021;8(1):e17662
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For example, substance use is prevalent among young MSM [4], and use of substances, particularly alcohol and amphetamines, is associated with not using a condom, a key risk factor for transmission of HIV infection [5-7].
JMIR Res Protoc 2020;9(10):e20417
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Findings showed the deep learning model significantly predicted at-risk drinking, defined as having “had more than a few alcoholic drinks a day” at least once in the past year.
J Med Internet Res 2020;22(9):e21916
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Self-regulation, a person’s ability to manage cognitive, motivational, and emotional resources to act in accordance with his or her long-term goals, was introduced as an important causal mechanism of health behavior, and deficient self-regulation was proposed as a key target for interventions addressing health risk behavior in chronic diseases.
JMIR Ment Health 2020;7(2):e16751
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