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Mapping Key Populations to Develop Improved HIV and AIDS Interventions: Multiphase Cross-Sectional Observational Mapping Study Using a District and City Approach

Mapping Key Populations to Develop Improved HIV and AIDS Interventions: Multiphase Cross-Sectional Observational Mapping Study Using a District and City Approach

The mapping conducted during this period considers these pandemic-induced changes, offering insights into the evolving dynamics of health service use and risk behaviors in a world altered by the COVID-19 pandemic. This makes the recent mapping efforts particularly relevant and timely, reflecting the new normal of health care engagement and the needs of KPs in Indonesia. Notably, the findings from this mapping exercise have not been reported in scientific publications.

Pande Putu Januraga, Endang Lukitosari, Lanny Luhukay, Rizky Hasby, Aang Sutrisna

JMIR Public Health Surveill 2025;11:e56820

A Generic Transformation Approach for Complex Laboratory Data Using the Fast Healthcare Interoperability Resources Mapping Language: Method Development and Implementation

A Generic Transformation Approach for Complex Laboratory Data Using the Fast Healthcare Interoperability Resources Mapping Language: Method Development and Implementation

Furthermore, sharing and reusing of declarative mapping rules in a standardized and adaptable manner is highly desirable and can release the needed resources and accelerate data enabling. Hence, this study aims to provide a software solution called “FML2 Mirth,” which is based on the separation of declarative mapping rules from a transformation pipeline leveraging the functionalities of Mirth.

Jesse Kruse, Joshua Wiedekopf, Ann-Kristin Kock-Schoppenhauer, Andrea Essenwanger, Josef Ingenerf, Hannes Ulrich

JMIR Med Inform 2024;12:e57569

A Web-Based Patient Empowerment to Medication Adherence Program for Patients With Rheumatoid Arthritis: Feasibility Randomized Controlled Trial

A Web-Based Patient Empowerment to Medication Adherence Program for Patients With Rheumatoid Arthritis: Feasibility Randomized Controlled Trial

The principal investigator (PI) followed a 6-step intervention mapping process, including needs assessment, developing program objectives, a conceptual framework for the development of the intervention, program plan, adoption, and evaluation [20].

Siriwan Lim, Ponrathi Athilingam, Manjari Lahiri, Peter Pak Moon Cheung, Hong-Gu He, Violeta Lopez

JMIR Form Res 2023;7:e48079

Effects of Real-Time Pressure Map Feedback on Confidence in Pressure Management in Wheelchair Users With Spinal Cord Injury: Pilot Intervention Study

Effects of Real-Time Pressure Map Feedback on Confidence in Pressure Management in Wheelchair Users With Spinal Cord Injury: Pilot Intervention Study

Further, therapists use seat interface pressure mapping (IPM) as an effective way to visualize how pressure is distributed and to guide wheelchair positioning [6,7]. However, evidence suggests that prevention knowledge and pressure management behaviors gained during inpatient rehabilitation decay over time [8], and wheelchair users with SCI complete far fewer weight shifts than recommended and that movements are inconsistent and sporadic from day to day [9,10].

Tamara L Vos-Draper, Melissa M B Morrow, John E Ferguson, Virgil G Mathiowetz

JMIR Rehabil Assist Technol 2023;10:e49813

Digital Health Reimbursement Strategies of 8 European Countries and Israel: Scoping Review and Policy Mapping

Digital Health Reimbursement Strategies of 8 European Countries and Israel: Scoping Review and Policy Mapping

This study uses a policy mapping framework, which has been used and validated by previous research in the fields of autism, disability, and substance abuse policy [30-35]. The policy mapping framework is based on the foundation of a scoping review, which allows for the rapid mapping of the key concepts underpinning a broad research area that is particularly valuable for complex issues that have not been reviewed comprehensively to date [36,37].

Robin van Kessel, Divya Srivastava, Ilias Kyriopoulos, Giovanni Monti, David Novillo-Ortiz, Ran Milman, Wojciech Wilhelm Zhang-Czabanowski, Greta Nasi, Ariel Dora Stern, George Wharton, Elias Mossialos

JMIR Mhealth Uhealth 2023;11:e49003

A SNOMED CT Mapping Guideline for the Local Terms Used to Document Clinical Findings and Procedures in Electronic Medical Records in South Korea: Methodological Study

A SNOMED CT Mapping Guideline for the Local Terms Used to Document Clinical Findings and Procedures in Electronic Medical Records in South Korea: Methodological Study

The guideline does not include organizing a mapping team or reviewing existing maps. In addition, this guideline’s scope is limited to mapping to the SNOMED CT concept and excludes mapping to SNOMED CT post-coordinated expression. The process of developing the mapping guideline was led by a mapping guideline development committee. The committee consisted of 3 mapping experts.

Sumi Sung, Hyeoun-Ae Park, Hyesil Jung, Hannah Kang

JMIR Med Inform 2023;11:e46127

Technologies for Interoperable Internet of Medical Things Platforms to Manage Medical Emergencies in Home and Prehospital Care: Protocol for a Scoping Review

Technologies for Interoperable Internet of Medical Things Platforms to Manage Medical Emergencies in Home and Prehospital Care: Protocol for a Scoping Review

Each mapping will be performed according to the layer(s) in the reference model in which different interoperability challenges appear (Figure 7). This will be followed by an explanation of the motivation regarding the terms on which the mapping has been performed. Two separate models can name their layers differently but describe the same concept or model functionality. Therefore, the mapping process will be systematically conducted following the process described in Figure 8.

Mattias Seth, Hoor Jalo, Åsa Högstedt, Otto Medin, Ulrica Björner, Bengt Arne Sjöqvist, Stefan Candefjord

JMIR Res Protoc 2022;11(9):e40243

Starter Kit for Geotagging and Geovisualization in Health Care: Resource Paper

Starter Kit for Geotagging and Geovisualization in Health Care: Resource Paper

and for fee) that can be leveraged by researchers and quality improvement personnel to effectively perform geospatial analyses primarily targeting the US health care and discusses the following layers and workflow of the geotagging framework: Geotagging (first layer): translating of text-based descriptions to map coordinates and placing the data on the map Geomapping (middle layer): finding the appropriate or available granularity level (city, county, zip code, and country) of the data you are working on and mapping

Quan Do, David Marc, Marat Plotkin, Brian Pickering, Vitaly Herasevich

JMIR Form Res 2020;4(12):e23379

Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis

Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis

This study supplements the previous global mapping on AI in medicine by analyzing the content and characteristics of studies of specific applications of AI in cancer research and clinical practice [2]. Compared with previous reviews, this study is more comprehensive in describing the research trends by applying content analysis and topic modeling [4-10]. Therefore, the findings are helpful to inform the design and priority of the settings of future studies.

Bach Xuan Tran, Carl A Latkin, Noha Sharafeldin, Katherina Nguyen, Giang Thu Vu, Wilson W S Tam, Ngai-Man Cheung, Huong Lan Thi Nguyen, Cyrus S H Ho, Roger C M Ho

JMIR Med Inform 2019;7(4):e14401