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Reducing Emotional Distress for Childhood Hypoglycemia in Parents (REDCHiP): Protocol for a Randomized Clinical Trial to Test a Video-Based Telehealth Intervention

Reducing Emotional Distress for Childhood Hypoglycemia in Parents (REDCHiP): Protocol for a Randomized Clinical Trial to Test a Video-Based Telehealth Intervention

Study outcome measures. a T1 D: type 1 diabetes mellitus. b CGM: continuous glucose monitor. c TST: total sleep time. d G8 analyzer: G8a High-Performance Liquid Chromatography Hemoglobin A1c Analyzer (Tosoh Bioscience Inc). e Free Style Libre Pro: Free Style Libre Pro Flash Glucose Monitoring System (Abbott Laboratories). f HFS-PYC: Hypoglycemia Fear Survey–Parents of Young Children. g PIP: Pediatric Inventory for Parents. h CES-D-R: Center for Epidemiological Studies–Depression Scale Revised. i PROMIS-A: Patient-Reported

Susana R Patton, Andrew McConville, Arwen M Marker, Alexandra D Monzon, Kimberly A Driscoll, Mark A Clements

JMIR Res Protoc 2020;9(8):e17877

The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review

The Use of Natural Language Processing Methods in Reddit to Investigate Opioid Use: Scoping Review

Python was the most common programming language used to analyze posting content, although alternative analysis methods and languages were also reported, including R, IBM Watson’s Natural Language Understanding application, and Linguistic Inquiry and Word Count software. In total, 8 (N=30, 27%) studies did not report any sources of funding and another 2 (7%) studies reported that there was no funding associated with the research.

Alexandra Almeida, Thomas Patton, Mike Conway, Amarnath Gupta, Steffanie A Strathdee, Annick Bórquez

JMIR Infodemiology 2024;4:e51156


Characterizing Help-Seeking Searches for Substance Use Treatment From Google Trends and Assessing Their Use for Infoveillance: Longitudinal Descriptive and Validation Statistical Analysis

Characterizing Help-Seeking Searches for Substance Use Treatment From Google Trends and Assessing Their Use for Infoveillance: Longitudinal Descriptive and Validation Statistical Analysis

All analyses were conducted using R software (version 4.1.0.), and the negative binomial models were fitted using the glmm TMB package [28]. Ethical review was not required because the study relied on public, aggregated, and deidentified data. Given that this study relied on the use of secondary deidentified data (numbers were aggregated to the state level), the Institutional Review Board of the University of California San Diego determined that an ethics review was not required (Project #200332 XX).

Thomas Patton, Daniela Abramovitz, Derek Johnson, Eric Leas, Alicia Nobles, Theodore Caputi, John Ayers, Steffanie Strathdee, Annick Bórquez

J Med Internet Res 2022;24(12):e41527