Race and ethnicity are inadequate predictors of ambulatory visit length and utilization of preventive services
Copyright © 2023 National Medical Association. Published by Elsevier Inc. All rights reserved..
Health disparities can be experienced by any disadvantaged group who has limited access to healthcare or decreased quality of care. Quality of care can be measured by physician-patient communication measures such as length of visit, health outcomes, patient satisfaction, or by the services one receives such as screening or health education. This study aims to determine the relationship between length of physician-patient encounter, number of preventive services, ethnicity, and race. This study utilizes data from the National Ambulatory Medical Care Survey (NAMCS) from 2007 to 2016. Visits with a single diagnosis were selected. Visits with the five most frequent diagnoses were selected by International Classification of Diseases, Ninth or Tenth Revision (ICD-9/ICD-10) classification. The primary outcome is time spent with a physician in minutes and the number of preventive services provided represented by the Preventive Service Index (PSI). Of 255,916 visits, non-white individuals made up 16.2% (95% Confidence Interval 15.9-16.4) while Latinos represented 13.4% (95%CI 13.2-13.6) of individuals. Multivariate analysis revealed minimal differences in visit length in race and ethnic groups regardless of diagnosis. Greater PSI was associated with individuals less than 43 years old (Odds Ratio (OR) 2.0, 95% CI 1.8-2.3, p =< 0.0001), those who reside in metropolitan statistical areas (MSAs) (OR 1.2, 95% CI 1.1-1.4, p = 0.006), non-white individuals (OR 1.2, 95% CI 1.1-1.3, p = 0.004), and those with private insurance (OR 1.3, 95% CI 1.1-1.4, p =< 0.0001). Race and ethnicity do not predict length of time with a physician regardless of diagnosis. Age, race, location within a metropolitan area, and insurance are significant but minimal predictors of receiving preventive services in the rank-order leading five most frequent diagnoses. This large, population-based study highlights improvements in the distribution of healthcare services from previous studies.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:116 |
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Enthalten in: |
Journal of the National Medical Association - 116(2024), 2 Pt 1 vom: 22. März, Seite 131-138 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Gonzalez, Tammy [VerfasserIn] |
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Links: |
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Themen: |
Ambulatory care |
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Anmerkungen: |
Date Completed 18.03.2024 Date Revised 18.03.2024 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.jnma.2023.12.002 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM368920828 |
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520 | |a Health disparities can be experienced by any disadvantaged group who has limited access to healthcare or decreased quality of care. Quality of care can be measured by physician-patient communication measures such as length of visit, health outcomes, patient satisfaction, or by the services one receives such as screening or health education. This study aims to determine the relationship between length of physician-patient encounter, number of preventive services, ethnicity, and race. This study utilizes data from the National Ambulatory Medical Care Survey (NAMCS) from 2007 to 2016. Visits with a single diagnosis were selected. Visits with the five most frequent diagnoses were selected by International Classification of Diseases, Ninth or Tenth Revision (ICD-9/ICD-10) classification. The primary outcome is time spent with a physician in minutes and the number of preventive services provided represented by the Preventive Service Index (PSI). Of 255,916 visits, non-white individuals made up 16.2% (95% Confidence Interval 15.9-16.4) while Latinos represented 13.4% (95%CI 13.2-13.6) of individuals. Multivariate analysis revealed minimal differences in visit length in race and ethnic groups regardless of diagnosis. Greater PSI was associated with individuals less than 43 years old (Odds Ratio (OR) 2.0, 95% CI 1.8-2.3, p =< 0.0001), those who reside in metropolitan statistical areas (MSAs) (OR 1.2, 95% CI 1.1-1.4, p = 0.006), non-white individuals (OR 1.2, 95% CI 1.1-1.3, p = 0.004), and those with private insurance (OR 1.3, 95% CI 1.1-1.4, p =< 0.0001). Race and ethnicity do not predict length of time with a physician regardless of diagnosis. Age, race, location within a metropolitan area, and insurance are significant but minimal predictors of receiving preventive services in the rank-order leading five most frequent diagnoses. This large, population-based study highlights improvements in the distribution of healthcare services from previous studies | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Ambulatory care | |
650 | 4 | |a Health disparities | |
650 | 4 | |a Preventive services | |
650 | 4 | |a Race & ethnicity | |
650 | 4 | |a Visit length | |
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700 | 1 | |a Olagbenro, Matthew |e verfasserin |4 aut | |
700 | 1 | |a Feldman, Steven R |e verfasserin |4 aut | |
700 | 1 | |a Fleischer, Alan B |e verfasserin |4 aut | |
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