Cargando…

Explaining racial disparities in surgical survival: a tapered match analysis of patient and hospital factors

OBJECTIVES: Evaluate whether hospital factors, including nurse resources, explain racial differences in Medicare black and white patient surgical outcomes and whether disparities changed over time. DESIGN: Retrospective tapered-match. SETTING: 571 hospitals at two time points (Early Era 2003–2005; R...

Descripción completa

Detalles Bibliográficos
Autores principales: Lasater, Karen B, Rosenbaum, Paul R, Aiken, Linda H, Brooks-Carthon, J Margo, Kelz, Rachel R, Reiter, Joseph G, Silber, Jeffrey H, McHugh, Matthew D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186454/
https://www.ncbi.nlm.nih.gov/pubmed/37169502
http://dx.doi.org/10.1136/bmjopen-2022-066813
_version_ 1785042561811873792
author Lasater, Karen B
Rosenbaum, Paul R
Aiken, Linda H
Brooks-Carthon, J Margo
Kelz, Rachel R
Reiter, Joseph G
Silber, Jeffrey H
McHugh, Matthew D
author_facet Lasater, Karen B
Rosenbaum, Paul R
Aiken, Linda H
Brooks-Carthon, J Margo
Kelz, Rachel R
Reiter, Joseph G
Silber, Jeffrey H
McHugh, Matthew D
author_sort Lasater, Karen B
collection PubMed
description OBJECTIVES: Evaluate whether hospital factors, including nurse resources, explain racial differences in Medicare black and white patient surgical outcomes and whether disparities changed over time. DESIGN: Retrospective tapered-match. SETTING: 571 hospitals at two time points (Early Era 2003–2005; Recent Era 2013–2015). PARTICIPANTS: 6752 black patients and three sets of 6752 white controls selected from 107 001 potential controls (Early Era). 4964 black patients and three sets of 4964 white controls selected from 74 108 potential controls (Recent Era). INTERVENTIONS: Black patients were matched to white controls on demographics (age, sex, state and year of procedure), procedure (demographics variables plus 136 International Classification of Diseases (ICD)-9 principal procedure codes) and presentation (demographics and procedure variables plus 34 comorbidities, a mortality risk score, a propensity score for being black, emergency admission, transfer status, predicted procedure time). OUTCOMES: 30-day and 1-year mortality. RESULTS: Before matching, black patients had more comorbidities, higher risk of mortality despite being younger and underwent procedures at different percentages than white patients. Whites in the demographics match had lower mortality at 30 days (5.6% vs 6.7% Early Era; 5.4% vs 5.7% Recent Era) and 1-year (15.5% vs 21.5% Early Era; 12.3% vs 15.9% Recent Era). Black–white 1-year mortality differences were equivalent after matching patients with respect to presentation, procedure and demographic factors. Black–white 30-day mortality differences were equivalent after matching on procedure and demographic factors. Racial disparities in outcomes remained unchanged between the two time periods spanning 10 years. All patients in hospitals with better nurse resources had lower odds of 30-day (OR 0.60, 95% CI 0.46 to 0.78, p<0.010) and 1-year mortality (OR 0.77, 95% CI 0.65 to 0.92, p<0.010) even after accounting for other hospital factors. CONCLUSIONS: Survival disparities among black and white patients are largely explained by differences in demographic, procedure and presentation factors. Better nurse resources (eg, staffing, work environment) were associated with lower mortality for all patients.
format Online
Article
Text
id pubmed-10186454
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-101864542023-05-17 Explaining racial disparities in surgical survival: a tapered match analysis of patient and hospital factors Lasater, Karen B Rosenbaum, Paul R Aiken, Linda H Brooks-Carthon, J Margo Kelz, Rachel R Reiter, Joseph G Silber, Jeffrey H McHugh, Matthew D BMJ Open Surgery OBJECTIVES: Evaluate whether hospital factors, including nurse resources, explain racial differences in Medicare black and white patient surgical outcomes and whether disparities changed over time. DESIGN: Retrospective tapered-match. SETTING: 571 hospitals at two time points (Early Era 2003–2005; Recent Era 2013–2015). PARTICIPANTS: 6752 black patients and three sets of 6752 white controls selected from 107 001 potential controls (Early Era). 4964 black patients and three sets of 4964 white controls selected from 74 108 potential controls (Recent Era). INTERVENTIONS: Black patients were matched to white controls on demographics (age, sex, state and year of procedure), procedure (demographics variables plus 136 International Classification of Diseases (ICD)-9 principal procedure codes) and presentation (demographics and procedure variables plus 34 comorbidities, a mortality risk score, a propensity score for being black, emergency admission, transfer status, predicted procedure time). OUTCOMES: 30-day and 1-year mortality. RESULTS: Before matching, black patients had more comorbidities, higher risk of mortality despite being younger and underwent procedures at different percentages than white patients. Whites in the demographics match had lower mortality at 30 days (5.6% vs 6.7% Early Era; 5.4% vs 5.7% Recent Era) and 1-year (15.5% vs 21.5% Early Era; 12.3% vs 15.9% Recent Era). Black–white 1-year mortality differences were equivalent after matching patients with respect to presentation, procedure and demographic factors. Black–white 30-day mortality differences were equivalent after matching on procedure and demographic factors. Racial disparities in outcomes remained unchanged between the two time periods spanning 10 years. All patients in hospitals with better nurse resources had lower odds of 30-day (OR 0.60, 95% CI 0.46 to 0.78, p<0.010) and 1-year mortality (OR 0.77, 95% CI 0.65 to 0.92, p<0.010) even after accounting for other hospital factors. CONCLUSIONS: Survival disparities among black and white patients are largely explained by differences in demographic, procedure and presentation factors. Better nurse resources (eg, staffing, work environment) were associated with lower mortality for all patients. BMJ Publishing Group 2023-05-11 /pmc/articles/PMC10186454/ /pubmed/37169502 http://dx.doi.org/10.1136/bmjopen-2022-066813 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Surgery
Lasater, Karen B
Rosenbaum, Paul R
Aiken, Linda H
Brooks-Carthon, J Margo
Kelz, Rachel R
Reiter, Joseph G
Silber, Jeffrey H
McHugh, Matthew D
Explaining racial disparities in surgical survival: a tapered match analysis of patient and hospital factors
title Explaining racial disparities in surgical survival: a tapered match analysis of patient and hospital factors
title_full Explaining racial disparities in surgical survival: a tapered match analysis of patient and hospital factors
title_fullStr Explaining racial disparities in surgical survival: a tapered match analysis of patient and hospital factors
title_full_unstemmed Explaining racial disparities in surgical survival: a tapered match analysis of patient and hospital factors
title_short Explaining racial disparities in surgical survival: a tapered match analysis of patient and hospital factors
title_sort explaining racial disparities in surgical survival: a tapered match analysis of patient and hospital factors
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186454/
https://www.ncbi.nlm.nih.gov/pubmed/37169502
http://dx.doi.org/10.1136/bmjopen-2022-066813
work_keys_str_mv AT lasaterkarenb explainingracialdisparitiesinsurgicalsurvivalataperedmatchanalysisofpatientandhospitalfactors
AT rosenbaumpaulr explainingracialdisparitiesinsurgicalsurvivalataperedmatchanalysisofpatientandhospitalfactors
AT aikenlindah explainingracialdisparitiesinsurgicalsurvivalataperedmatchanalysisofpatientandhospitalfactors
AT brookscarthonjmargo explainingracialdisparitiesinsurgicalsurvivalataperedmatchanalysisofpatientandhospitalfactors
AT kelzrachelr explainingracialdisparitiesinsurgicalsurvivalataperedmatchanalysisofpatientandhospitalfactors
AT reiterjosephg explainingracialdisparitiesinsurgicalsurvivalataperedmatchanalysisofpatientandhospitalfactors
AT silberjeffreyh explainingracialdisparitiesinsurgicalsurvivalataperedmatchanalysisofpatientandhospitalfactors
AT mchughmatthewd explainingracialdisparitiesinsurgicalsurvivalataperedmatchanalysisofpatientandhospitalfactors