e.g. mhealth
Search Results (1 to 4 of 4 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 1 JMIR Public Health and Surveillance
- 1 JMIR Research Protocols
- 1 JMIR mHealth and uHealth
- 1 Journal of Medical Internet Research
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Human Factors
- 0 JMIR Medical Informatics
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Medical Education
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 JMIR Formative Research
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Pediatrics and Parenting
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Med
- 0 JMIRx Bio
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
We attempt to capitalize on the growing use of the ecological momentary assessment (EMA) methodology in behavioral health research [6-8] and propose a novel approach for assessing a central cognitive measure, processing speed, using EMA survey paradata. Paradata are data about the response process, such as response times (RTs) when answering survey questions [9,10], that can be passively captured alongside survey responses.
JMIR Mhealth Uhealth 2023;11:e45203
Download Citation: END BibTex RIS
Researchers have promoted the use of paradata metrics for measuring engagement with DHIs [9,12]. Paradata can be defined as automatically generated process data that capture participants’ actions within an application [13-15], and can be transformed to characterize the amount, frequency, duration, and depth of engagement across and within DHIs [9].
JMIR Public Health Surveill 2022;8(6):e33867
Download Citation: END BibTex RIS
Data collected in this way are usually referred to as the paradata of the survey. According to Kreuter [46], paradata are behavioral by-products of computer-assisted data collection that are often neglected in studies. In the past, they have primarily been used to reduce survey error within the total survey error framework [47]; for example, by uncovering participants’ insecurity while responding to particular survey items [48].
J Med Internet Res 2022;24(4):e34015
Download Citation: END BibTex RIS
Web Health Monitoring Survey: A New Approach to Enhance the Effectiveness of Telemedicine Systems
We also collected paradata during the study period, along with instrumental and subjective data.
During the 2-month trial, we collected a total of 478 records from 11 patients, 243 for the first month and 235 for the second month.
As described before, a WHMS is a longitudinal survey that is quite different from a panel survey in terms of duration and contents; therefore, we needed more specific indicators than the well-known and consolidated indicators available in the literature [12,34,35].
JMIR Res Protoc 2016;5(2):e101
Download Citation: END BibTex RIS