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Time optimization in primary care – chronic prescription cost

INTRODUCTION: Time optimization is a common goal to most health information institutions. In several countries, chronic electronic renewal prescriptions were one of the main focuses when implementing information systems. In Portugal, Electronic Medical Prescription (PEM®) software is used for most e...

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Autores principales: Leite-Costa, Tiffany, Rodrigues, Daniel, Sá, Fernando, Cruz Correia, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166022/
https://www.ncbi.nlm.nih.gov/pubmed/37158887
http://dx.doi.org/10.1186/s12913-023-09355-1
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author Leite-Costa, Tiffany
Rodrigues, Daniel
Sá, Fernando
Cruz Correia, Ricardo
author_facet Leite-Costa, Tiffany
Rodrigues, Daniel
Sá, Fernando
Cruz Correia, Ricardo
author_sort Leite-Costa, Tiffany
collection PubMed
description INTRODUCTION: Time optimization is a common goal to most health information institutions. In several countries, chronic electronic renewal prescriptions were one of the main focuses when implementing information systems. In Portugal, Electronic Medical Prescription (PEM®) software is used for most electronic prescriptions. This study aims to quantify the time spent in chronic prescription renewal appointments (CPRA) in primary care and its impact in the Portuguese National Health System (SNS). METHODS: Eight general practitioners (GP) were included in the study during February 2022. The average duration of 100 CPRA was obtained. To determine the number of CPRA performed every year, a primary care BI-CSP® platform was used. Using Standard Cost Model and average medical doctor hourly rate in Portugal we estimated CPRA global costs. RESULTS: Each doctor spent on average 1:55 ± 01:07 min per CPRA. There were 8295 GP working in 2022. A total 635 561 CPRA were performed in 2020 and 774 346 in 2021. In 2020, CPRA costs ranged 303 088 ± 179 419€, and in 2021 that number increased to 369 272 ± 218 599€. CONCLUSION: This is the first study to quantify CPRA’s real cost in Portugal. A PEM® software update would allow daily savings, ranging from 830€ (± 491€) in 2020 and 1011€ (± 598€) in 2021. That change could allow hiring 8 ± 5 GP in 2020 and 12 ± 7 in 2021.
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spelling pubmed-101660222023-05-09 Time optimization in primary care – chronic prescription cost Leite-Costa, Tiffany Rodrigues, Daniel Sá, Fernando Cruz Correia, Ricardo BMC Health Serv Res Research INTRODUCTION: Time optimization is a common goal to most health information institutions. In several countries, chronic electronic renewal prescriptions were one of the main focuses when implementing information systems. In Portugal, Electronic Medical Prescription (PEM®) software is used for most electronic prescriptions. This study aims to quantify the time spent in chronic prescription renewal appointments (CPRA) in primary care and its impact in the Portuguese National Health System (SNS). METHODS: Eight general practitioners (GP) were included in the study during February 2022. The average duration of 100 CPRA was obtained. To determine the number of CPRA performed every year, a primary care BI-CSP® platform was used. Using Standard Cost Model and average medical doctor hourly rate in Portugal we estimated CPRA global costs. RESULTS: Each doctor spent on average 1:55 ± 01:07 min per CPRA. There were 8295 GP working in 2022. A total 635 561 CPRA were performed in 2020 and 774 346 in 2021. In 2020, CPRA costs ranged 303 088 ± 179 419€, and in 2021 that number increased to 369 272 ± 218 599€. CONCLUSION: This is the first study to quantify CPRA’s real cost in Portugal. A PEM® software update would allow daily savings, ranging from 830€ (± 491€) in 2020 and 1011€ (± 598€) in 2021. That change could allow hiring 8 ± 5 GP in 2020 and 12 ± 7 in 2021. BioMed Central 2023-05-08 /pmc/articles/PMC10166022/ /pubmed/37158887 http://dx.doi.org/10.1186/s12913-023-09355-1 Text en © The Author(s) 2023 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
Leite-Costa, Tiffany
Rodrigues, Daniel
Sá, Fernando
Cruz Correia, Ricardo
Time optimization in primary care – chronic prescription cost
title Time optimization in primary care – chronic prescription cost
title_full Time optimization in primary care – chronic prescription cost
title_fullStr Time optimization in primary care – chronic prescription cost
title_full_unstemmed Time optimization in primary care – chronic prescription cost
title_short Time optimization in primary care – chronic prescription cost
title_sort time optimization in primary care – chronic prescription cost
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166022/
https://www.ncbi.nlm.nih.gov/pubmed/37158887
http://dx.doi.org/10.1186/s12913-023-09355-1
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