PURPOSE OF THE STUDY: to examine the effects of the present on admission (POA) indicator on the prevalence of and factors associated with postsurgical adverse events in older patients. DESIGN AND METHODS: this is a secondary data analysis of 82,898 surgical patients aged 65 years or older in 252 acute care hospitals in California in 2004. Four adverse events were counted using the Agency for Healthcare Research and Quality's Patient Safety Indicator (PSI) definitions with and without using the POA indicator. We also examined the effects of the POA indicator on the relationships between patient- and hospital-level factors and adverse events, using generalized linear mixed models. RESULTS: the use of the POA indicator resulted in a marked reduction in the estimated rates of all 4 adverse event rates. Adjustment for POA conditions also influenced factors associated with adverse events. Compared with those with newly occurring adverse events only, admissions with only POA conditions were more likely to be admitted through the emergency department, be unplanned, and belong to patients with one or more preceding admissions or those with multiple admissions within the same year. IMPLICATIONS: adverse event rates estimated from discharge abstracts using PSI methodology could be overstated when the POA indicator was not used. The POA indicator could influence predictors of adverse events. Studies on geriatric safety and outcomes using large administrative data sets should consider using the POA indicator. Further studies are needed on how to determine POA conditions.
PURPOSE OF THE STUDY: to examine the effects of the present on admission (POA) indicator on the prevalence of and factors associated with postsurgical adverse events in older patients. DESIGN AND METHODS: this is a secondary data analysis of 82,898 surgical patients aged 65 years or older in 252 acute care hospitals in California in 2004. Four adverse events were counted using the Agency for Healthcare Research and Quality's Patient Safety Indicator (PSI) definitions with and without using the POA indicator. We also examined the effects of the POA indicator on the relationships between patient- and hospital-level factors and adverse events, using generalized linear mixed models. RESULTS: the use of the POA indicator resulted in a marked reduction in the estimated rates of all 4 adverse event rates. Adjustment for POA conditions also influenced factors associated with adverse events. Compared with those with newly occurring adverse events only, admissions with only POA conditions were more likely to be admitted through the emergency department, be unplanned, and belong to patients with one or more preceding admissions or those with multiple admissions within the same year. IMPLICATIONS: adverse event rates estimated from discharge abstracts using PSI methodology could be overstated when the POA indicator was not used. The POA indicator could influence predictors of adverse events. Studies on geriatric safety and outcomes using large administrative data sets should consider using the POA indicator. Further studies are needed on how to determine POA conditions.
Authors: Margriet Fokkema; Rob Hurks; Thomas Curran; Rodney P Bensley; Allen D Hamdan; Mark C Wyers; Frans L Moll; Marc L Schermerhorn Journal: J Vasc Surg Date: 2013-08-28 Impact factor: 4.268
Authors: Hongsoo Kim; William W Hung; Myunghee Cho Paik; Joseph S Ross; Zhonglin Zhao; Gi-Soo Kim; Kenneth Boockvar Journal: Int J Qual Health Care Date: 2015-10-15 Impact factor: 2.038
Authors: Paulo Sousa; António Sousa Uva; Florentino Serranheira; Mafalda Sousa Uva; Carla Nunes Journal: Int J Qual Health Care Date: 2018-03-01 Impact factor: 2.038
Authors: Marie-Annick Le Pogam; Catherine Quantin; Oliver Reich; Philippe Tuppin; Anne Fagot-Campagna; Fred Paccaud; Isabelle Peytremann-Bridevaux; Bernard Burnand Journal: JMIR Res Protoc Date: 2017-05-11
Authors: Vijaya Sundararajan; Marie-Annick Le Pogam; Danielle A Southern; Harold Alan Pincus; William A Ghali Journal: BMC Med Inform Decis Mak Date: 2022-09-16 Impact factor: 3.298
Authors: Elizabeth Capezuti; Marie Boltz; Daniel Cline; Victoria Vaughn Dickson; Marie-Claire Rosenberg; Laura Wagner; Joseph Shuluk; Cindy Nigolian Journal: J Clin Nurs Date: 2012-11 Impact factor: 3.036