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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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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 |
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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 |
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