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The aim of this work was to assess the feasibility of the methods’ implementation in real data and to examine the impact of AV study design factors on the relationships estimated. As with the prior simulation study [9], COAs were used as the RMs in order to evaluate AV study design factors, to reflect situations where they comprise the only available RMs and thus represent the measurement target of interest.
J Med Internet Res 2025;27:e70314
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These include comorbidities associated with aging, as people aging with HIV are disproportionately diagnosed with chronic kidney disease, chronic obstructive pulmonary disease, osteoporosis, cardiovascular disease, diabetes, chronic hepatitis, end-stage liver disease, lung cancer, and colorectal cancer relative to other adults of the same age, reducing their overall quality of life [3,4].
JMIR Res Protoc 2025;14:e72471
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Therefore, there is a need to create initiatives and partnerships that can enable this group to make informed decisions about their health and well-being.
In general, the development of DSTs and SDM training programs is guided by the decision-making needs of a targeted group [15]. Decision-making needs may be defined as factors that prevent people from making informed health care decisions.
JMIR Res Protoc 2025;14:e78618
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The evolution of follow-up through smartphone apps has shown promising results in other fields of medicine, such as cardiac rehabilitation and diabetes [23,24]. Furthermore, patients are increasingly interested in the idea of using smartphone apps for follow-up, and the recent COVID-19 pandemic has dramatically increased the use and acceptability of digital health solutions [25].
JMIR Res Protoc 2025;14:e72317
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Group A, serving as the control group, received no IPE exposure nor preparatory learning activities beyond the traditional lecture format. Specifically, they did not participate in lectures or cinemeducation on interprofessional collaboration, role-play activities, or pair-and-share exercises. Additionally, Group A did not undergo any preparatory learning before the simulation.
JMIR Med Educ 2025;11:e70726
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To minimize group bias, a 2-way blinding process was implemented: participants were unaware of their assigned group, and research administrators allocated participants to unlabeled time slots without access to individual identities.
The participants engaged in a structured learning activity by watching “Emergency Love,” a 75-minute medical film depicting interprofessional collaboration (IPC) in the emergency department (ED).
J Med Internet Res 2025;27:e67001
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Information regarding interventions was included only as a sensitivity analysis to demonstrate its potential impact on the prediction model. The potential imbalance of the dataset for all models was tested by oversampling with the Synthetic Minority Oversampling Technique [48]. Given that the overall sex distribution in the cohort was fairly balanced (774/1624, 47.66% female), we did not apply additional rebalancing for sex to avoid potential bias.
JMIR Aging 2025;8:e67958
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Adhering to GAMER will not only enhance the clarity and completeness of reporting in Gen AI-related research but will also foster collaboration, comparability, and cumulative knowledge generation in the rapidly evolving field of AI-driven health care technologies. This article describes the methods and processes involved in the development of GAMER, providing a guarantee for the smooth completion and promotion of GAMER in the future.
JMIR Res Protoc 2025;14:e64640
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A technical advisory group (TAG)—comprising representatives from the Immunization Division, Ministry of Health and Family Welfare, and the national AEFI committee (n=2), along with an interdisciplinary team of pediatricians (n=4), epidemiologists (n=4), statisticians (n=3), and pharmacovigilance experts (n=3)—provided technical guidance throughout all stages of project implementation.
We identified potential sites for inclusion in the network through a systematic, multistage process.
JMIR Res Protoc 2025;14:e64050
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The sample size calculation for the non-St UD group referred to a previous study that indicated a 0.23 probability for stimulant abstinence among non-St UD patients treated with a placebo and 0.17 for non-St UD patients treated without naltrexone [11]. A similar formula, accounting for type 1 error probability and 20% incomplete or missing data, was used for the calculation.
JMIR Res Protoc 2025;14:e64101
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