e.g. mhealth
Search Results (1 to 10 of 56 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 12 JMIR Research Protocols
- 9 JMIR Formative Research
- 5 JMIR Public Health and Surveillance
- 5 JMIRx Med
- 5 Journal of Medical Internet Research
- 4 JMIR Human Factors
- 3 JMIR Medical Education
- 3 JMIR Mental Health
- 3 JMIR Serious Games
- 2 JMIR Pediatrics and Parenting
- 2 JMIR mHealth and uHealth
- 1 JMIR Dermatology
- 1 JMIR Infodemiology
- 1 Online Journal of Public Health Informatics
- 0 Medicine 2.0
- 0 Interactive Journal of Medical Research
- 0 iProceedings
- 0 JMIR Medical Informatics
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Bioinformatics and Biotechnology
- 0 JMIR Cancer
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Biomedical Engineering
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIRx Bio
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 JMIR XR and Spatial Computing (JMXR)
In 2020, of the 91,799 drug-related overdoses in the United States, 75% involved an opioid [1]. Naloxone is an invaluable tool to prevent opioid overdose [2], and coprescription initiatives (or programs to encourage providers to prescribe naloxone to patients receiving opioids) are a common, important intervention to reduce fatal overdoses.
JMIR Med Educ 2024;10:e54280
Download Citation: END BibTex RIS
The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review
To help further studies more efficiently address opioid-related research questions using social media data, we identified the different strategies used to carry out semantic analyses of opioid-related content, compiled their lists of opioid-related terms (produced either by automatic variant generator tools or by word embedding) or similar words, and curated their content, creating a refined version where the terms are aggregated by abbreviation, misspelling, variants and their misspellings, brand names and
JMIR Infodemiology 2024;4:e51156
Download Citation: END BibTex RIS
The United States is in an opioid epidemic originally partially fueled by legitimate but inappropriate rates of opioid prescriptions [1-4], with additional waves associated with nonprescription opioids [5]. Reducing inappropriate opioid prescribing by health care providers is a key element of mitigating the risk of long-term opioid use and potential dependence for patients [6-10].
JMIR Hum Factors 2024;11:e44662
Download Citation: END BibTex RIS
Many countries, including the United States, recognize the psychological, social, and economic burdens of opioid addiction [13,14]. Several of these countries have implemented preventative measures, like prescription restrictions and prescription drug monitoring programs, to minimize refractory opioid use disorder (OUD) [15,16] mortality rates [17,18].
Online J Public Health Inform 2024;16:e49924
Download Citation: END BibTex RIS
Specifically, we used a facilitated telemedicine model integrated into 12 opioid treatment programs (OTPs) throughout New York State [7,8]. Facilitated telemedicine is an approach to health care delivery that combines social interactions between patients and staff (ie, case managers and clinical staff) with bidirectional videoconferencing between patients and geographically separated providers to promote trust.
J Med Internet Res 2024;26:e53049
Download Citation: END BibTex RIS
However, there was also evidence that opioid prescribing remains a persistent public health problem in England, with higher rates of prescription in areas of higher deprivation and evidence that long-term prescribing was associated with opioid overdose and dependence.
JMIR Public Health Surveill 2024;10:e51323
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
The study proposes building an opioid drug social media knowledge graph but does not provide details on the potential impact or implications of such a graph.
Need to provide the details in the manuscript.
3. The study explicitly states that it does not make any clinical diagnosis or treatment suggestions, which indicates a gap in translating the research findings into practical applications for addressing substance use disorder.
Need to justify how this study will be helpful for clinical situations.
JMIRx Med 2024;5:e58317
Download Citation: END BibTex RIS
Crawling crypto markets poses a significant challenge when applied to data science and machine learning to study the opioid epidemic due to the restricted crawling process. However, we made our proposed data set available to the research community for further analysis.
2. The study proposes building an opioid drug social media knowledge graph (ODSM-KG) but does not provide details on the potential impact or implications of such a graph.
Need to provide the details in the manuscript.
JMIRx Med 2024;5:e57838
Download Citation: END BibTex RIS