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Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment

BACKGROUND: Routinely collected health data (RCD) are important resource for exploring drug treatment effects. Adequate reporting of data source profiles may increase the credibility of evidence generated from these data. This study conducted a systematic literature review to evaluate the reporting...

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Autores principales: Wang, Wen, Liu, Mei, He, Qiao, Wang, Mingqi, Xu, Jiayue, Li, Ling, Li, Guowei, He, Lin, Zou, Kang, Sun, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120171/
https://www.ncbi.nlm.nih.gov/pubmed/37081410
http://dx.doi.org/10.1186/s12874-023-01922-8
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author Wang, Wen
Liu, Mei
He, Qiao
Wang, Mingqi
Xu, Jiayue
Li, Ling
Li, Guowei
He, Lin
Zou, Kang
Sun, Xin
author_facet Wang, Wen
Liu, Mei
He, Qiao
Wang, Mingqi
Xu, Jiayue
Li, Ling
Li, Guowei
He, Lin
Zou, Kang
Sun, Xin
author_sort Wang, Wen
collection PubMed
description BACKGROUND: Routinely collected health data (RCD) are important resource for exploring drug treatment effects. Adequate reporting of data source profiles may increase the credibility of evidence generated from these data. This study conducted a systematic literature review to evaluate the reporting characteristics of databases used by RCD studies to explore the effects of drug treatment. METHODS: Observational studies published in 2018 that used RCD to explore the effects of drug treatment were identified by searching PubMed. We categorized eligible reports into two groups by journal impact factor (IF), including the top 5 general medical journals (NEJM, Lancet, JAMA, BMJ and JAMA Internal Medicine) and the other journals. The reporting characteristics of the databases used were described and compared between the two groups and between studies citing and not citing database references. RESULTS: A total of 222 studies were included, of which 53 (23.9%) reported that they applied data linkage, 202 (91.0%) reported the type of database, and 211 (95.0%) reported the coverage of the data source. Only 81 (36.5%) studies reported the timeframe of the database. Studies in high-impact journals were more likely to report that they applied data linkage (65.1% vs. 20.2%) and used electronic medical records (EMR) (73.7% vs. 30.0%) and national data sources (77.8% vs. 51.3%) than those published in other medical journals. There were 137/222 (61.7%) cited database references. Studies with database-specific citations had better reporting of the data sources and were more likely to publish in high-impact journals than those without (mean IF, 6.08 vs. 4.09). CONCLUSIONS: Some deficits were found in the reporting quality of databases in studies that used RCD to explore the effects of drug treatment. Studies citing database-specific references may provide detailed information regarding data source characteristics. The adoption of reporting guidelines and education on their use is urgently needed to promote transparency by research groups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01922-8.
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spelling pubmed-101201712023-04-22 Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment Wang, Wen Liu, Mei He, Qiao Wang, Mingqi Xu, Jiayue Li, Ling Li, Guowei He, Lin Zou, Kang Sun, Xin BMC Med Res Methodol Research BACKGROUND: Routinely collected health data (RCD) are important resource for exploring drug treatment effects. Adequate reporting of data source profiles may increase the credibility of evidence generated from these data. This study conducted a systematic literature review to evaluate the reporting characteristics of databases used by RCD studies to explore the effects of drug treatment. METHODS: Observational studies published in 2018 that used RCD to explore the effects of drug treatment were identified by searching PubMed. We categorized eligible reports into two groups by journal impact factor (IF), including the top 5 general medical journals (NEJM, Lancet, JAMA, BMJ and JAMA Internal Medicine) and the other journals. The reporting characteristics of the databases used were described and compared between the two groups and between studies citing and not citing database references. RESULTS: A total of 222 studies were included, of which 53 (23.9%) reported that they applied data linkage, 202 (91.0%) reported the type of database, and 211 (95.0%) reported the coverage of the data source. Only 81 (36.5%) studies reported the timeframe of the database. Studies in high-impact journals were more likely to report that they applied data linkage (65.1% vs. 20.2%) and used electronic medical records (EMR) (73.7% vs. 30.0%) and national data sources (77.8% vs. 51.3%) than those published in other medical journals. There were 137/222 (61.7%) cited database references. Studies with database-specific citations had better reporting of the data sources and were more likely to publish in high-impact journals than those without (mean IF, 6.08 vs. 4.09). CONCLUSIONS: Some deficits were found in the reporting quality of databases in studies that used RCD to explore the effects of drug treatment. Studies citing database-specific references may provide detailed information regarding data source characteristics. The adoption of reporting guidelines and education on their use is urgently needed to promote transparency by research groups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-023-01922-8. BioMed Central 2023-04-20 /pmc/articles/PMC10120171/ /pubmed/37081410 http://dx.doi.org/10.1186/s12874-023-01922-8 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
Wang, Wen
Liu, Mei
He, Qiao
Wang, Mingqi
Xu, Jiayue
Li, Ling
Li, Guowei
He, Lin
Zou, Kang
Sun, Xin
Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment
title Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment
title_full Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment
title_fullStr Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment
title_full_unstemmed Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment
title_short Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment
title_sort data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120171/
https://www.ncbi.nlm.nih.gov/pubmed/37081410
http://dx.doi.org/10.1186/s12874-023-01922-8
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