Search Results (1 to 9 of 9 Results)
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Skip search results from other journals and go to results- 4 JMIR Formative Research
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This may be outside of the domain of any religion; spiritual fulfillment within persons is achieved through practices such as meditation, associating with nature, and building a personal relationship with a higher power [18-21]. Simultaneously, “faith” is often described as a philosophical concept. Studies show that faith is a nonstatic concept and often means a belief pattern that provides meaning to them. Through faith, individuals try to gain an appreciation of their world and circumstances [22].
JMIR Form Res 2024;8:e58121
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This study used a cross-sectional design with data collected from a 1-time survey administered to Mayo Clinic and MCHS patients.
The survey was designed using results from a prior qualitative study detailed elsewhere [14]. Guided by the qualitative results and informed by a scoping literature review, the survey items were developed to address existing gaps in the literature. The finalized paper survey was pretested with study staff with an estimated 10-15 minutes to complete.
JMIR Form Res 2024;8:e50572
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Options for telemedicine include speaking to a health care provider live over a phone or video call and sending and receiving messages using a secure online messaging platform (eg, a patient portal) [1]. Before the COVID-19 pandemic, use of telemedicine and video appointments, in particular, was minimal.
JMIR Form Res 2022;6(5):e37012
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Though Facebook is used as a platform for community engagement, the literature regarding its use to disseminate information about both research and health topics is still in its infancy [5,6]. Developing a Facebook community and using social networks to build engagement for health promotion and CTS content has been recognized as a valuable endeavor [7].
JMIR Form Res 2022;6(2):e30973
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The Role of Social Media in Enhancing Clinical Trial Recruitment: Scoping Review
We performed a comprehensive search in July 2019 using the following databases: Pub Med; MEDLINE, EMBASE, and Psyc Info via Ovid; Cochrane Library via Wiley; Scopus; and Web of Science Core Collection. A combination of natural language and controlled vocabulary was employed in accordance with Methodological Expectations of Cochrane Intervention Reviews guidelines [19]. A complete search strategy is available in Multimedia Appendix 2.
J Med Internet Res 2020;22(10):e22810
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It identifies themes in data systematically, where each theme represents a semantic topic. More specifically, the framework method builds a matrix structure with each piece of narrative data (eg, a patient post or a sentence) stored in a row and each identified theme in a column. Using this structure, researchers can cluster narrative data around identified themes and identify the relationships between themes (see Figure 1).
JMIR Res Protoc 2019;8(8):e13914
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Acceptability of Robotic-Assisted Exercise Coaching Among Diverse Youth: Pilot Study
Once consent was obtained by study staff, participants observed the demonstration in a group setting in a private room with 7-10 other adolescents. The demonstration consisted of a 3-5-minute session during which a study team member played the role of the exercise coach.
The coach followed a script, included in Textbox 1 below, adapted from a prior study that assessed the acceptability of a robotic human trainer among diverse adults [22].
JMIR Pediatr Parent 2019;2(2):e12549
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The authors of “Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017” (J Med Internet Res 2019;21(4):e13316) have provided a new version of Multimedia Appendix 3.
The originally published version of Multimedia Appendix 3 contained raw treatment costs of diseases as disease burden in Table S6 that were calculated with claims data from Optum Labs. The sharing of raw data violates the data policy of Optum Labs, so those raw numbers have been removed.
J Med Internet Res 2019;21(7):e14678
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Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017
A comprehensive survey paper is available to gain a better understanding of the structure of patent documents and the methods for patent document retrieval, classification, and visualization [6].
Existing patent mining in biomedicine mostly focuses on recognizing biomedical entities such as chemical compounds, genes, proteins, cells, tissues, and anatomical parts [7]. For example, Leman et al developed a system of named entity recognition to identify chemical names mentioned in the patents [8].
J Med Internet Res 2019;21(4):e13316
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