Trends in Potentially Avoidable Hospitalisations Among People With Diabetes in Ireland; 2015–2024

AIM: To examine trends in potentially avoidable hospitalisations (PAHs) among people with diabetes in Ireland between 2015 and 2024, and how trends differ by sex and diabetes type. MATERIAL AND METHODS: Using national hospitalisation data from the Republic of Ireland, we estimated rates and trends in PAHs among people with diagnosed type 1 or type 2 diabetes between 2015 and 2024, during which 181 130 PAHs occurred. This included 21 complications, which were used to create a composite measure. We also grouped these into five condition groups including diabetes-specific, cardiovascular-related, infection, lower extremity and acute kidney failure. We calculated age-standardised rates (ASRs) and assessed temporal trends using linear time-trend models and Joinpoint regression analysis. RESULTS: ASRs decreased from 105.0 (95% CI: 100.4, 109.2) per 1000 people with diabetes in 2015 to 91.0 (95% CI: 87.7, 94.3) in 2024 with an average decline of 2.5% (95% CI: -3.1, 1.7) per year. ASRs were consistently higher among individuals with type 1 diabetes compared with those with type 2 diabetes (p < 0.001). When examined by condition group, ASRs declined steadily over time for all except those relating to infections, which showed an increase from 2022 onwards. CONCLUSION: Although PAHs declined over the study period, rates remained high especially among people with type 1 diabetes. The shifting profile of PAHs towards non-diabetes-specific conditions highlights emerging prevention challenges and the need to strengthen primary and community-based care pathways for people living with diabetes.

Authors

Institutions

Publication Details

Journal
Diabetes Obesity and Metabolism
Published
2026-05-31
DOI
https://doi.org/10.1111/dom.70925
Primary Topic
Primary Care and Health Outcomes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trends in Potentially Avoidable Hospitalisations Among People With Diabetes in Ireland; 2015–2024

Claire Mary Buckley, Jennifer A. Pallin, Naomi Holman, Diarmuid Smith et al.
Diabetes Obesity and Metabolism
Primary Care and Health Outcomes
article

Trends in Potentially Avoidable Hospitalisations Among People With Diabetes in Ireland; 2015–2024

Claire Mary Buckley, Jennifer A. Pallin, Naomi Holman, Diarmuid Smith, Seamus Sreenan, Dr Michael Lockhart, Kevin McIntyre, Lisa Devine, Edward W. Gregg
article en

Abstract

AIM: To examine trends in potentially avoidable hospitalisations (PAHs) among people with diabetes in Ireland between 2015 and 2024, and how trends differ by sex and diabetes type. MATERIAL AND METHODS: Using national hospitalisation data from the Republic of Ireland, we estimated rates and trends in PAHs among people with diagnosed type 1 or type 2 diabetes between 2015 and 2024, during which 181 130 PAHs occurred. This included 21 complications, which were used to create a composite measure. We also grouped these into five condition groups including diabetes-specific, cardiovascular-related, infection, lower extremity and acute kidney failure. We calculated age-standardised rates (ASRs) and assessed temporal trends using linear time-trend models and Joinpoint regression analysis. RESULTS: ASRs decreased from 105.0 (95% CI: 100.4, 109.2) per 1000 people with diabetes in 2015 to 91.0 (95% CI: 87.7, 94.3) in 2024 with an average decline of 2.5% (95% CI: -3.1, 1.7) per year. ASRs were consistently higher among individuals with type 1 diabetes compared with those with type 2 diabetes (p < 0.001). When examined by condition group, ASRs declined steadily over time for all except those relating to infections, which showed an increase from 2022 onwards. CONCLUSION: Although PAHs declined over the study period, rates remained high especially among people with type 1 diabetes. The shifting profile of PAHs towards non-diabetes-specific conditions highlights emerging prevention challenges and the need to strengthen primary and community-based care pathways for people living with diabetes.

Diabetes Obesity and Metabolism
Royal College of Surgeons in Ireland (IE), Ollscoil na Gaillimhe – University of Galway (IE), University College Cork (IE), Connolly Hospital Blanchardstown (IE), Beaumont Hospital (IE), Health Service Executive (IE), St. Luke's General Hospital (IE), Trials Methodology Research Network (IE)
Research Ireland
Good health and well-being
Openalex Percentile: Top 4%
Primary Care and Health Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.