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Medication risk management and health equity in New Zealand general practice: a retrospective cross-sectional study
BACKGROUND: Despite an overt commitment to equity, health inequities are evident throughout Aotearoa New Zealand. A general practice electronic alert system was developed to notify clinicians about their patient’s risk of harm due to their pre-existing medical conditions or current medication. We ai...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111894/ https://www.ncbi.nlm.nih.gov/pubmed/33975606 http://dx.doi.org/10.1186/s12939-021-01461-y |
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author | Leitch, Sharon Zeng, Jiaxu Smith, Alesha Stokes, Tim |
author_facet | Leitch, Sharon Zeng, Jiaxu Smith, Alesha Stokes, Tim |
author_sort | Leitch, Sharon |
collection | PubMed |
description | BACKGROUND: Despite an overt commitment to equity, health inequities are evident throughout Aotearoa New Zealand. A general practice electronic alert system was developed to notify clinicians about their patient’s risk of harm due to their pre-existing medical conditions or current medication. We aimed to determine whether there were any disparities in clinician action taken on the alert based on patient ethnicity or other demographic factors. METHODS: Sixty-six New Zealand general practices from throughout New Zealand participated. Data were available for 1611 alerts detected for 1582 patients between 1 and 2018 and 1 July 2019. The primary outcome was whether action was taken following an alert or not. Logistic regression was used to assess if patients of one ethnicity group were more or less likely to have action taken. Potential confounders considered in the analyses include patient age, gender, ethnicity, socio-economic deprivation, number of long term diagnoses and number of long term medications. RESULTS: No evidence of a difference was found in the odds of having action taken amongst ethnicity groups, however the estimated odds for Māori and Pasifika patients were lower compared to the European group (Māori OR 0.88, 95 %CI 0.63–1.22; Pasifika OR 0.88, 95 %CI 0.52–1.49). Females had significantly lower odds of having action taken compared to males (OR 0.76, 95 %CI 0.59–0.96). CONCLUSIONS: This analysis of data arising from a general practice electronic alert system in New Zealand found clinicians typically took action on those alerts. However, clinicians appear to take less action for women and Māori and Pasifika patients. Use of a targeted alert system has the potential to mitigate risk from medication-related harm. Recognising clinician biases may improve the equitability of health care provision. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01461-y. |
format | Online Article Text |
id | pubmed-8111894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81118942021-05-11 Medication risk management and health equity in New Zealand general practice: a retrospective cross-sectional study Leitch, Sharon Zeng, Jiaxu Smith, Alesha Stokes, Tim Int J Equity Health Research BACKGROUND: Despite an overt commitment to equity, health inequities are evident throughout Aotearoa New Zealand. A general practice electronic alert system was developed to notify clinicians about their patient’s risk of harm due to their pre-existing medical conditions or current medication. We aimed to determine whether there were any disparities in clinician action taken on the alert based on patient ethnicity or other demographic factors. METHODS: Sixty-six New Zealand general practices from throughout New Zealand participated. Data were available for 1611 alerts detected for 1582 patients between 1 and 2018 and 1 July 2019. The primary outcome was whether action was taken following an alert or not. Logistic regression was used to assess if patients of one ethnicity group were more or less likely to have action taken. Potential confounders considered in the analyses include patient age, gender, ethnicity, socio-economic deprivation, number of long term diagnoses and number of long term medications. RESULTS: No evidence of a difference was found in the odds of having action taken amongst ethnicity groups, however the estimated odds for Māori and Pasifika patients were lower compared to the European group (Māori OR 0.88, 95 %CI 0.63–1.22; Pasifika OR 0.88, 95 %CI 0.52–1.49). Females had significantly lower odds of having action taken compared to males (OR 0.76, 95 %CI 0.59–0.96). CONCLUSIONS: This analysis of data arising from a general practice electronic alert system in New Zealand found clinicians typically took action on those alerts. However, clinicians appear to take less action for women and Māori and Pasifika patients. Use of a targeted alert system has the potential to mitigate risk from medication-related harm. Recognising clinician biases may improve the equitability of health care provision. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01461-y. BioMed Central 2021-05-11 /pmc/articles/PMC8111894/ /pubmed/33975606 http://dx.doi.org/10.1186/s12939-021-01461-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Leitch, Sharon Zeng, Jiaxu Smith, Alesha Stokes, Tim Medication risk management and health equity in New Zealand general practice: a retrospective cross-sectional study |
title | Medication risk management and health equity in New Zealand general practice: a retrospective cross-sectional study |
title_full | Medication risk management and health equity in New Zealand general practice: a retrospective cross-sectional study |
title_fullStr | Medication risk management and health equity in New Zealand general practice: a retrospective cross-sectional study |
title_full_unstemmed | Medication risk management and health equity in New Zealand general practice: a retrospective cross-sectional study |
title_short | Medication risk management and health equity in New Zealand general practice: a retrospective cross-sectional study |
title_sort | medication risk management and health equity in new zealand general practice: a retrospective cross-sectional study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111894/ https://www.ncbi.nlm.nih.gov/pubmed/33975606 http://dx.doi.org/10.1186/s12939-021-01461-y |
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