Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
1.
Int J Surg ; 11(9): 872-5, 2013.
Article in English | MEDLINE | ID: mdl-23917211

ABSTRACT

BACKGROUND: Ireland has an ageing population; with the proportion of people aged over 80 years estimated to increase over the next 20 years from 1.1% to 2.1%. AIMS: The aim of this study was to examine the demographics of the population served by the surgical department in a tertiary referral centre in the west of Ireland and to examine whether increasing age had an influence on morbidity, mortality and length of stay. METHODS: Data pertaining to all surgical admissions over a 6-month period between was collected prospectively using an ACS-NSQIP based proforma. Data collected included patient age, gender, operative intervention, in-patient length of stay, mode of admission and complications related to their admission. RESULTS: A total of 2209 patients were admitted under the care of the general, vascular and breast services in our centre over a 6-month period between August and January. Two thousand and nineteen patients had complete data collected. The average age was 50.37 years (± 23.62), with 24.12% (n = 533) older than 70 years. Only 12.31% of patients aged younger than 70 years experienced morbidity, compared to 25.10% of older patients. It was shown that there was a stepwise increase with complication rates and hospital in-patient stay across each decade of increasing age. Multivariate analysis showed those factors most predictive of a complication to include emergency admission, major or complex major surgical intervention, female gender and age. Length of stay was also found to have a positive correlation with increasing age (Spearman's Rho, p < 0.001). CONCLUSION: Increasing age is associated with increased complication rates and increased hospital length of stay.


Subject(s)
Length of Stay/statistics & numerical data , Postoperative Complications/epidemiology , Adult , Age Factors , Aged , Female , Humans , Ireland/epidemiology , Male , Middle Aged , Morbidity , Multivariate Analysis , Prospective Studies , Treatment Outcome
2.
J Am Coll Surg ; 216(1): 50-6, 2013 Jan.
Article in English | MEDLINE | ID: mdl-23127791

ABSTRACT

BACKGROUND: The aim of this study was to investigate the impact of a validated complication proforma on surgical Morbidity and Mortality (M&M) conference reporting. STUDY DESIGN: The ACS-NSQIP (American College of Surgeons-National Surgical Quality Improvement Program) 30-day complication proforma, when implemented, previously showed a 25% increase in morbidity and a 50% increase in mortality reporting. A pilot study introducing the paper-based proforma was undertaken, collecting prospective M&M data for 2,094 of 2,209 colorectal, upper gastrointestinal, breast, and vascular inpatients (94.7% compliance). A comparative analysis using the proforma vs traditional M&M data collection was used to compare accuracy of M&M data reporting. RESULTS: There was a 73% increase in morbidities reported using the proforma as compared with M&M reporting (547 vs 316), and an increase of 10.81% (37 vs 41) in the reporting of mortalities. Of those patients with morbidities (n = 278), 70.24% (n = 203) had at least 1 surgical intervention. The median length of stay in patients with morbidities was 12 vs 3 days in those with no morbidities. CONCLUSIONS: We demonstrated that prospective standardized incident recording provides significantly more accurate assessment of M&M data compared with current reporting methods. This increased accuracy should favorably affect surgical performance indicators and casemix funding.


Subject(s)
Data Collection/methods , Hospital Mortality , Hospitals, University/standards , Peer Review, Health Care , Postoperative Complications/epidemiology , Quality Assurance, Health Care/methods , Risk Management/methods , Data Collection/standards , Forms and Records Control , Hospital Records/standards , Hospital Records/statistics & numerical data , Hospitals, University/statistics & numerical data , Humans , Ireland , Medical Records/standards , Medical Records/statistics & numerical data , Pilot Projects , Postoperative Complications/mortality , Prospective Studies , Quality Assurance, Health Care/standards , Quality Assurance, Health Care/statistics & numerical data , Quality Improvement , Risk Management/standards , Risk Management/statistics & numerical data
SELECTION OF CITATIONS
SEARCH DETAIL
...