Heather Jaynes

Ms. Heather Jaynes

purdue university

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 August 2024 in PLOS ONE
Verified
Journal Article
Open access
PDF file
CHChien-Yu Huang
Chien-Yu Huang
BOBrian R Overholser
Brian R Overholser
KSKevin M Sowinski
Kevin M Sowinski
HJHeather Jaynes
Heather Jaynes
RKRichard J Kovacs
Richard J Kovacs
JTJames E Tisdale
James E Tisdale
Heart failure (HF) with reduced ejection fraction (HFrEF) is a risk factor for drug-induced QT interval prolongation. It is unknown if HF with preserved ejection fraction (HFpEF) is also associated with an increased risk. Dofetilide and sotalol are potent QT interval-prolonging agents that are frequently used in patients with HFpEF, in whom atrial fibrillation is a common comorbidity. We tested the hypothesis that the risk of QT interval prolongation associated with dofetilide and sotalol is increased in patients with HFpEF. We conducted a retrospective cohort study conducted using electronic health records from the Indiana Network for Patient Care (January 31, 2010 –May 3, 2021). After removing patients with overlapping diagnoses of HFpEF and HFrEF, no diagnosis code, and absence of QT interval records, we identified patients taking dofetilide or sotalol among three groups: HFrEF (n = 138), HFpEF (n = 109), and no HF (n = 729). QT prolongation was defined as heart rate-corrected QT (QTc) > 500 ms during dofetilide/sotalol therapy. Unadjusted odds ratios (OR) for QT prolongation were determined by univariate analysis. Adjusted ORs were determined by generalized estimating equations (GEE) with logit link to account for an individual cluster with different times of hospitalization and covariates. QTc prolongation associated with dofetilide or sotalol occurred in 53.2%, 71.7% and 30.0% of patients with HFpEF, HFrEF, and patients with no HF, respectively. After adjusting for age, sex, race, serum potassium and magnesium concentrations, kidney function, concomitant drug therapy, and comorbid conditions, the adjusted odds of QTc prolongation were significantly higher in patients with HFpEF [OR = 1.98 (95% CI 1.17–3.33)], and in those with HFrEF [OR = 5.23, (3.15–8.67)], compared to those with no evidence of HF. The odds of QT prolongation among inpatients receiving dofetilide or sotalol were increased in patients with HFpEF and HFrEF compared to those who did not have HF.

16 July 2019 in BMC Medical Informatics and Decision Making
Verified
Journal Article
Open access
PDF file
MSMargie E. Snyder
Margie E. Snyder
HJHeather Jaynes
Heather Jaynes
SGStephanie Gernant
Stephanie Gernant
JDJulie Diiulio
Julie Diiulio
LMLaura Militello
Laura Militello
ARAlissa L. Russ
Alissa L. Russ
Medication therapy management (MTM) is a service, most commonly provided by pharmacists, intended to identify and resolve medication therapy problems (MTPs) to enhance patient care. MTM is typically documented by the community pharmacist in an MTM vendor’s web-based platform. These platforms often include integrated alerts to assist the pharmacist with assessing MTPs. In order to maximize the usability and usefulness of alerts to the end users (e.g., community pharmacists), MTM alert design should follow principles from human factors science. Therefore, the objectives of this study were to 1) evaluate the extent to which alerts for community pharmacist-delivered MTM align with established human factors principles, and 2) identify areas of opportunity and recommendations to improve MTM alert design. Five categories of MTM alerts submitted by community pharmacists were evaluated: 1) indication, 2) effectiveness; 3) safety; 4) adherence; and 5) cost-containment. This heuristic evaluation was guided by the Instrument for Evaluating Human-Factors Principles in Medication-Related Decision Support Alerts (I-MeDeSA) which we adapted and contained 32 heuristics. For each MTM alert, four analysts’ individual ratings were summed and a mean score on the modified I-MeDeSA computed. For each heuristic, we also computed the percent of analyst ratings indicating alignment with the heuristic. We did this for all alerts evaluated to produce an “overall” summary of analysts’ ratings for a given heuristic, and we also computed this separately for each alert category. Our results focus on heuristics where ≤50% of analysts’ ratings indicated the alerts aligned with the heuristic. I-MeDeSA scores across the five alert categories were similar. Heuristics pertaining to visibility and color were generally met. Opportunities for improvement across all MTM alert categories pertained to the principles of alert prioritization; text-based information; alarm philosophy; and corrective actions. MTM alerts have several opportunities for improvement related to human factors principles, resulting in MTM alert design recommendations. Enhancements to MTM alert design may increase the effectiveness of MTM delivery by community pharmacists and result in improved patient outcomes.

28 February 2026 in Journal of the American Pharmacists Association
Verified
Journal Article
Closed access
ASAubrey R. Stolte
Aubrey R. Stolte
JNJenny L. Newlon
Jenny L. Newlon
KHKatelyn N. Hettinger-Riddell
Katelyn N. Hettinger-Riddell
Omolola Adeoye-OlatundeOmolola Adeoye-Olatunde
Omolola Adeoye-Olatunde
BCBetty A. Chewning
Betty A. Chewning
MSMargie E. Snyder
Margie E. Snyder

6 June 2024 in Journal of the American Pharmacists Association
Verified
Journal Article
Closed access
PWPrajakta H. Waghmare
Prajakta H. Waghmare
CHChien-Yu Huang
Chien-Yu Huang
HJHeather Jaynes
Heather Jaynes
WGWendy M. Green
Wendy M. Green
MSMargie E. Snyder
Margie E. Snyder
AZAlan Zillich
Alan Zillich

14 August 2026 in Journal of the American Pharmacists Association
Verified
Journal Article
Closed access
MSMargie E. Snyder
Margie E. Snyder
KHKatelyn N. Hettinger-Riddell
Katelyn N. Hettinger-Riddell
BQBonyan Qudah
Bonyan Qudah
LHLisa A. Hillman
Lisa A. Hillman
JNJenny L. Newlon
Jenny L. Newlon
GCGeoffrey M. Curran
Geoffrey M. Curran