Seán Cournane1, Declan Byrne2, Richard Conway2, Deirdre O'Riordan2, Seamus Coveney3, Bernard Silke4. 1. Medical Physics and Bioengineering Department, St James's Hospital, Dublin 8, Ireland. 2. Department of Internal Medicine, St James's Hospital, Dublin 8, Ireland. 3. School of Geographical and Earth Sciences, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK. 4. Department of Internal Medicine, St James's Hospital, Dublin 8, Ireland. Electronic address: bernardsilke@physicians.ie.
Abstract
BACKGROUND: Patients from deprived backgrounds have a higher in-patient mortality following an emergency medical admission. How deprivation relates to the admission or readmission incidence rates, episode length of stay (LOS) and ancillary resource utilization is less clear. METHODS: All emergency medical admissions (66,861 episodes in 36,214 patients) between 2002 and 2013, categorized by quintile of Irish National Deprivation Index were assessed against admission or readmission incidence rates (/1000 local population by electoral division), LOS and utilization of five ancillary services. Univariate and multi-variable risk estimates (odds ratios (OR) or incidence rate ratios (IRR)) were calculated, using truncated Poisson regression. RESULTS: The deprivation index quintile was strongly correlated with the emergency medical admission rate with IRR (as compared with quintile 1) as follows: Q2 1.99 (95% CI: 1.96, 2.01), Q3 3.45 (95% CI: 3.41, 3.49), Q4 3.27 (95% CI: 3.23, 3.31) and Q5 4.29 (95% CI: 4.23, 4.35). LOS was not influenced by deprivation status; although increasing deprivation resulted in increased utilization of social services (OR 1.04: 95% CI: 1.03, 1.06), with a lower requirement for occupational therapy (OR 0.94: 95% CI: 0.93, 0.96) and speech/language services (OR 0.83: 95% CI: 0.80, 0.86). There was a rather decreased use of ancillary services with increasing deprivation; however, the readmission rate was strongly predicted by deprivation status. CONCLUSION: Deprivation status strongly influenced the admission and readmission rates for medical patients admitted as emergencies; however, ancillary resource utilization was not increased. Deprivation index will increase demand on hospital resources due to the aggregate effect on both admission and readmission incidence rates.
BACKGROUND:Patients from deprived backgrounds have a higher in-patient mortality following an emergency medical admission. How deprivation relates to the admission or readmission incidence rates, episode length of stay (LOS) and ancillary resource utilization is less clear. METHODS: All emergency medical admissions (66,861 episodes in 36,214 patients) between 2002 and 2013, categorized by quintile of Irish National Deprivation Index were assessed against admission or readmission incidence rates (/1000 local population by electoral division), LOS and utilization of five ancillary services. Univariate and multi-variable risk estimates (odds ratios (OR) or incidence rate ratios (IRR)) were calculated, using truncated Poisson regression. RESULTS: The deprivation index quintile was strongly correlated with the emergency medical admission rate with IRR (as compared with quintile 1) as follows: Q2 1.99 (95% CI: 1.96, 2.01), Q3 3.45 (95% CI: 3.41, 3.49), Q4 3.27 (95% CI: 3.23, 3.31) and Q5 4.29 (95% CI: 4.23, 4.35). LOS was not influenced by deprivation status; although increasing deprivation resulted in increased utilization of social services (OR 1.04: 95% CI: 1.03, 1.06), with a lower requirement for occupational therapy (OR 0.94: 95% CI: 0.93, 0.96) and speech/language services (OR 0.83: 95% CI: 0.80, 0.86). There was a rather decreased use of ancillary services with increasing deprivation; however, the readmission rate was strongly predicted by deprivation status. CONCLUSION: Deprivation status strongly influenced the admission and readmission rates for medical patients admitted as emergencies; however, ancillary resource utilization was not increased. Deprivation index will increase demand on hospital resources due to the aggregate effect on both admission and readmission incidence rates.
Authors: Peiyao Xu; Fiona M Blyth; Vasi Naganathan; Robert G Cumming; David J Handelsman; Markus J Seibel; David G Le Couteur; Louise M Waite; Saman Khalatbari-Soltani Journal: JAMA Netw Open Date: 2022-04-01
Authors: Clíona Ní Cheallaigh; Sarah Cullivan; Jess Sears; Ann Marie Lawlee; Joe Browne; Jennifer Kieran; Ricardo Segurado; Austin O'Carroll; Fiona O'Reilly; Donnacha Creagh; Colm Bergin; Rose Anne Kenny; Declan Byrne Journal: BMJ Open Date: 2017-12-01 Impact factor: 2.692