R Yates Coley
Overview
Explore the profile of R Yates Coley including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
44
Citations
541
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Hoopes A, Cushing-Haugen K, Coley R, Fuller S, Sucato G, Mangione-Smith R, et al.
J Adolesc Health
. 2024 Nov;
76(3):455-462.
PMID: 39580732
Purpose: Patient portal use may improve access to or use of sexual and reproductive health (SRH) services for adolescents. We examined the association between adolescent secure messaging on a portal...
2.
Importance of variables from different time frames for predicting self-harm using health system data
Wolock C, Williamson B, Shortreed S, Simon G, Coleman K, Yeargans R, et al.
J Biomed Inform
. 2024 Nov;
160:104750.
PMID: 39557209
Objective: Self-harm risk prediction models developed using health system data (electronic health records and insurance claims information) often use patient information from up to several years prior to the index...
3.
Penfold R, Idu A, Coley R, Cushing-Haugen K, King D, Glass A, et al.
J Child Psychol Psychiatry
. 2024 Oct;
66(3):301-310.
PMID: 39472075
Background: Antipsychotic medications (AP) are inappropriately prescribed to young people. The goal of this pragmatic trial was to test a four-component approach to improved targeting of antipsychotic prescribing to people...
4.
Importance of variables from different time frames for predicting self-harm using health system data
Wolock C, Williamson B, Shortreed S, Simon G, Coleman K, Yeargans R, et al.
medRxiv
. 2024 Oct;
PMID: 39371167
Objective: Self-harm risk prediction models developed using health system data (electronic health records and insurance claims information) often use patient information from up to several years prior to the index...
5.
Williamson B, Coley R, Hsu C, McCracken C, Cook A
Prev Sci
. 2024 Jan;
25(6):1009.
PMID: 38224390
No abstract available.
6.
Simon G, Shortreed S, Johnson E, Yaseen Z, Stone M, Mosholder A, et al.
Pharmacoepidemiol Drug Saf
. 2023 Dec;
33(1):e5734.
PMID: 38112287
Purpose: Observational studies assessing effects of medical products on suicidal behavior often rely on health record data to account for pre-existing risk. We assess whether high-dimensional models predicting suicide risk...
7.
Simon G, Cruz M, Boggs J, Beck A, Shortreed S, Coley R
Psychiatr Serv
. 2023 Dec;
75(5):419-426.
PMID: 38050444
Objective: The authors examined whether machine-learning models could be used to analyze data from electronic health records (EHRs) to predict patients' responses to antidepressant medications. Methods: EHR data from a...
8.
Williamson B, Coley R, Hsu C, McCracken C, Cook A
Prev Sci
. 2023 Oct;
25(Suppl 3):421-432.
PMID: 37897553
In research assessing the effect of an intervention or exposure, a key secondary objective often involves assessing differential effects of this intervention or exposure in subgroups of interest; this is...
9.
Dublin S, Greenwood-Hickman M, Karliner L, Hsu C, Coley R, Colemon L, et al.
Contemp Clin Trials
. 2023 Oct;
135:107356.
PMID: 37858616
Background: About half of people living with dementia have not received a diagnosis, delaying access to treatment, education, and support. We previously developed a tool, eRADAR, which uses information in...
10.
Hoopes A, Cushing-Haugen K, Coley R, Fuller S, White C, Ralston J, et al.
Pediatrics
. 2023 Jun;
152(1).
PMID: 37271795
Objectives: To determine adolescent characteristics associated with patient portal secure messaging use within a health system. Methods: This study analyzed monthly data from individuals aged 13 to 17 who met...