Catherine Byrne

Dr. Catherine Byrne


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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4 September 2019 in British Journal of Clinical Pharmacology
Verified
Journal Article
Open access
PDF file
CWCaroline A. Walsh
Caroline A. Walsh
CCCaitriona Cahir
Caitriona Cahir
STSarah Tecklenborg
Sarah Tecklenborg
CBCatherine Byrne
Catherine Byrne
MCMichael A. Culbertson
Michael A. Culbertson
KBKathleen Bennett
Kathleen Bennett
Aims: The aim of this systematic review and meta‐analysis was to synthesise the evidence relating to medication non‐adherence and its association with health outcomes in people aged ≥50 years.Methods: Seven databases were searched up to February 2019 for observational studies that measured medication (non‐)adherence as a predictor of the following health outcomes in adults aged ≥50 years: healthcare utilisation (hospitalisation, emergency department visits, outpatient visits and general practitioner visits), mortality, adverse clinical events and quality of life. Screening and quality assessment using validated criteria were completed by 2 reviewers independently. Random effects models were used to generate pooled estimates of association using adjusted study results. The full methodological approach was published on PROSPERO (ID: CRD42017077264).Results: Sixty‐six studies were identified for qualitative synthesis, with 11 of these studies eligible for meta‐analyses. A meta‐analysis including 3 studies measuring medication non‐adherence in adults aged ≥55 years showed a significant association with all‐cause hospitalisation (adjusted odds ratio 1.17, 95% confidence interval [CI] 1.12, 1.21). A meta‐analysis including 2 studies showed that medication non‐adherence was not significantly associated with an emergency department visit (adjusted odds ratio 1.05, 95% CI 0.90, 1.22). Good adherence was associated with a 21% reduction in long‐term mortality risk in comparison to medication non‐adherence (adjusted hazard ratio 0.79, 95% CI 0.63, 0.98).Conclusion: Medication non‐adherence may be significantly associated with all‐cause hospitalisation and mortality in older people. Medication adherence should be monitored and addressed in this cohort to minimise hospitalisation, improve clinical outcomes and reduce healthcare costs.

6 July 2018 in BMJ Open
Verified
Journal Article
Open access
PDF file
CBCatherine Byrne
Catherine Byrne
CWCaroline Walsh
Caroline Walsh
CCCaitriona Cahir
Caitriona Cahir
CRCristín Ryan
Cristín Ryan
DWDavid J Williams
David J Williams
KBKathleen Bennett
Kathleen Bennett
Objectives The Drug Burden Index (DBI) tool quantifies individual exposure to anticholinergic and sedative medications. The DBI has been internationally validated against adverse health outcomes in older people. DBI exposure has not been reported in the Irish older population. This study aimed to: (1) develop a list of drugs with clinically significant anticholinergic and/or sedative effects (DBI medications) relevant to Ireland; (2) examine, using the DBI formula, the prevalence of exposure to DBI medications in Irish older people and (3) explore patient factors associated DBI exposure. Design A cross-sectional national pharmacy claims database study. Setting Community setting using the General Medical Services (GMS) scheme pharmacy claims database maintained by the Health Service Executive Primary Care Reimbursement Services. Participants Irish older individuals (aged ≥65 years) enrolled in the GMS scheme and dispensed at least one prescription item in 2016 (n=428 516). Main outcome measures Prevalence of exposure to DBI medications and patient factors associated with DBI exposure. Results 282 874 (66%) of the GMS population aged ≥65 years were exposed to at least one DBI medication in 2016. Prevalence of exposure to DBI medications was significantly higher in females than males (females 71.6% vs males 58.7%, adjusted OR 1.65, 95% CI 1.63 to 1.68). Prevalence of DBI exposure increased progressively with the number of chronic drugs used, rising from 42.7% of those prescribed 0–4 chronic drugs to 95.4% of those on ≥12 chronic drugs (adjusted OR 27.8, 95% CI 26.7 to 29.0). The most frequently used DBI medications were codeine/paracetamol combination products (20.1% of patients), tramadol (11.5%), zopiclone (9.5%), zolpidem (8.5%), pregabalin (7.9%) and alprazolam (7.8%). Conclusions The majority of older people in Ireland are exposed to medications with anticholinergic and/or sedative effects, particularly females and those with multiple comorbidities. The high use of low-dose codeine/paracetamol combination products, Z-drugs and benzodiazepines, suggests there are opportunities for deprescribing.

1 October 2015 in International Journal of Antimicrobial Agents
Verified
Journal Article
Closed access
CBCatherine Byrne
Catherine Byrne
SESean Egan
Sean Egan
JFJérôme P. Fennell
Jérôme P. Fennell
POPhilomena O’bYrne
Philomena O’bYrne
HEHelen Enright
Helen Enright
JMJohnny McHugh
Johnny McHugh

29 April 2019 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
CBCatherine Byrne
Catherine Byrne
CWCaroline Walsh
Caroline Walsh
CCCaitriona Cahir
Caitriona Cahir
KBKathleen Bennett
Kathleen Bennett
The Drug Burden Index (DBI) quantifies exposure to medications with anticholinergic and/or sedative effects. A consensus list of DBI medications available in Ireland was recently developed for use as a DBI tool. The aim of this study was to validate this DBI tool by examining the association of DBI score with important health outcomes in Irish community-dwelling older people. This was a cohort study using data from The Irish Longitudinal Study on Ageing (TILDA) with linked pharmacy claims data. Individuals aged ≥65 years participating in TILDA and enrolled in the General Medical Services scheme were eligible for inclusion. DBI score was determined by applying the DBI tool to participants’ medication dispensing data in the year prior to outcome assessment. DBI score was recoded into a categorical variable [none (0), low (> 0 and < 1), and high (≥1)]. Outcome measures included any Activities of Daily Living (ADL) impairment, any Instrumental Activities of Daily Living (IADL) impairment, any self-reported fall in the previous 12 months, any frailty criterion met (Fried Phenotype measure), quality of life (QoL) score (CASP-19 [Control Autonomy Self-realisation Pleasure] measure), and healthcare utilisation (any hospital admission and any emergency department (ED) visit) in the previous 12 months. Statistical analyses included multivariate logistic and linear regression models controlling for potential confounders. 61.3% (n = 1946) of participants received at least one DBI prescription in the year before their outcome assessment. High DBI exposure (DBI score ≥ 1) vs none was significantly associated with impaired function (ADL impairment adjusted OR 1.89, 95% CI 1.25, 2.88; IADL impairment adjusted OR 2.97, 95% CI 1.91, 4.61), self-reported falls (adjusted OR 1.50, 95%CI 1.03, 2.18), frailty (adjusted OR 1.74, 95% CI 1.14, 2.67), and reduced QoL (β = − 1.84, 95%CI -3.14, − 0.54). There was no significant association between DBI exposure and healthcare utilisation. The findings validate the use of the DBI tool for predicting risk of functional impairment, falls, frailty and reduced QoL in older people in Ireland, and may be extended to other European countries. Integration of this tool into routine practice may be an appropriate step forward to improve outcomes in older people.

16 August 2017 in British Journal of Clinical Pharmacology
Verified
Journal Article
Closed access
PDF file
CBCatherine Byrne
Catherine Byrne
CCCaitriona Cahir
Caitriona Cahir
CCCarmel Curran
Carmel Curran
KBKathleen Bennett
Kathleen Bennett

27 January 2020 in Drugs & Aging
Verified
Journal Article
Open access
PDF file
STSarah Tecklenborg
Sarah Tecklenborg
CBCatherine Byrne
Catherine Byrne
CCCaitriona Cahir
Caitriona Cahir
LBLamorna Brown
Lamorna Brown
KBKathleen Bennett
Kathleen Bennett
Unfortunately, the co-author name was incorrectly published as ‘ ‘Lamona’’ instead of ‘ ‘Lamorna’’ in the original article