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¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria?

OBJECTIVE: Analyze whether the use of Z codes in the Electronic Health Record (EHR) correlates with the socioeconomic reality of the population attended. DESIGN: Observational, descriptive, cross-sectional, ecological study. LOCATION: 90 health centres of two Primary Health Care (PHC) Departments of...

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Autores principales: Jiménez Carrillo, Marta, Fernández Rodker, Joanna, Sastre Paz, Marta, Alberquilla Menendez-Asenjo, Ángel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752986/
https://www.ncbi.nlm.nih.gov/pubmed/32417165
http://dx.doi.org/10.1016/j.aprim.2020.01.007
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author Jiménez Carrillo, Marta
Fernández Rodker, Joanna
Sastre Paz, Marta
Alberquilla Menendez-Asenjo, Ángel
author_facet Jiménez Carrillo, Marta
Fernández Rodker, Joanna
Sastre Paz, Marta
Alberquilla Menendez-Asenjo, Ángel
author_sort Jiménez Carrillo, Marta
collection PubMed
description OBJECTIVE: Analyze whether the use of Z codes in the Electronic Health Record (EHR) correlates with the socioeconomic reality of the population attended. DESIGN: Observational, descriptive, cross-sectional, ecological study. LOCATION: 90 health centres of two Primary Health Care (PHC) Departments of the Community of Madrid. PARTICIPANTS: The total number of patients treated during 2016: 1,920,124 (54.33% women, 45.67% men). The 7.15% received some Z code (67.29% women, 32.71% men). MAIN MEASUREMENTS: As a dependent variable, the proportion of patients with Z code records in their EHRs was established. As independent variable, two socioeconomic indicators were selected that objectively reflect the differences between Basic Health Areas: Average Income Available per capita and Proportion of Economic Immigrants. To evaluate the correlation between dependent and independent variables, a multivariate correlation-regression analysis was used. RESULTS: It was observed that the higher the disposable income, the lower the proportion of Z code records in the EHRs (Pearson correlation coefficient: −0.56). However, there is a great variability in the registration of Z codes and the coding fails to make visible the socio-economic realities of the populations covered (Diagnostic Odds Ratio: 0.12. CI: 0.05-0.32). CONCLUSIONS: The use of different tools that facilitate the visualization of the health impact of social inequalities, as well as their evaluation through various research methodologies, is relevant for a community orientation of the PHC. The Z codes do not make visible in the studied area the social determinants of health of the population attended.
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spelling pubmed-77529862020-12-23 ¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria? Jiménez Carrillo, Marta Fernández Rodker, Joanna Sastre Paz, Marta Alberquilla Menendez-Asenjo, Ángel Aten Primaria Original OBJECTIVE: Analyze whether the use of Z codes in the Electronic Health Record (EHR) correlates with the socioeconomic reality of the population attended. DESIGN: Observational, descriptive, cross-sectional, ecological study. LOCATION: 90 health centres of two Primary Health Care (PHC) Departments of the Community of Madrid. PARTICIPANTS: The total number of patients treated during 2016: 1,920,124 (54.33% women, 45.67% men). The 7.15% received some Z code (67.29% women, 32.71% men). MAIN MEASUREMENTS: As a dependent variable, the proportion of patients with Z code records in their EHRs was established. As independent variable, two socioeconomic indicators were selected that objectively reflect the differences between Basic Health Areas: Average Income Available per capita and Proportion of Economic Immigrants. To evaluate the correlation between dependent and independent variables, a multivariate correlation-regression analysis was used. RESULTS: It was observed that the higher the disposable income, the lower the proportion of Z code records in the EHRs (Pearson correlation coefficient: −0.56). However, there is a great variability in the registration of Z codes and the coding fails to make visible the socio-economic realities of the populations covered (Diagnostic Odds Ratio: 0.12. CI: 0.05-0.32). CONCLUSIONS: The use of different tools that facilitate the visualization of the health impact of social inequalities, as well as their evaluation through various research methodologies, is relevant for a community orientation of the PHC. The Z codes do not make visible in the studied area the social determinants of health of the population attended. Elsevier 2021-01 2020-05-13 /pmc/articles/PMC7752986/ /pubmed/32417165 http://dx.doi.org/10.1016/j.aprim.2020.01.007 Text en © 2020 Published by Elsevier España, S.L.U. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original
Jiménez Carrillo, Marta
Fernández Rodker, Joanna
Sastre Paz, Marta
Alberquilla Menendez-Asenjo, Ángel
¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria?
title ¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria?
title_full ¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria?
title_fullStr ¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria?
title_full_unstemmed ¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria?
title_short ¿Refleja la historia clínica electrónica los determinantes sociales de la salud desde Atención Primaria?
title_sort ¿refleja la historia clínica electrónica los determinantes sociales de la salud desde atención primaria?
topic Original
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752986/
https://www.ncbi.nlm.nih.gov/pubmed/32417165
http://dx.doi.org/10.1016/j.aprim.2020.01.007
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