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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-7752986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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