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The reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals

BACKGROUND: Missing data are common in longitudinal studies, and more so, in studies of older adults, who are susceptible to health and functional decline that limit completion of assessments. We assessed the extent, current reporting, and handling of missing data in longitudinal studies of older ad...

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Autores principales: Okpara, Chinenye, Edokwe, Chidozie, Ioannidis, George, Papaioannou, Alexandra, Adachi, Jonathan D., Thabane, Lehana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040343/
https://www.ncbi.nlm.nih.gov/pubmed/35473665
http://dx.doi.org/10.1186/s12874-022-01605-w
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author Okpara, Chinenye
Edokwe, Chidozie
Ioannidis, George
Papaioannou, Alexandra
Adachi, Jonathan D.
Thabane, Lehana
author_facet Okpara, Chinenye
Edokwe, Chidozie
Ioannidis, George
Papaioannou, Alexandra
Adachi, Jonathan D.
Thabane, Lehana
author_sort Okpara, Chinenye
collection PubMed
description BACKGROUND: Missing data are common in longitudinal studies, and more so, in studies of older adults, who are susceptible to health and functional decline that limit completion of assessments. We assessed the extent, current reporting, and handling of missing data in longitudinal studies of older adults. METHODS: Medline and Embase databases were searched from 2015 to 2019 for publications on longitudinal observational studies conducted among persons ≥55 years old. The search was restricted to 10 general geriatric journals published in English. Reporting and handling of missing data were assessed using questions developed from the recommended standards. Data were summarised descriptively as frequencies and proportions. RESULTS: A total of 165 studies were included in the review from 7032 identified records. In approximately half of the studies 97 (62.5%), there was either no comment on missing data or unclear descriptions. The percentage of missing data varied from 0.1 to 55%, with a 14% average among the studies that reported having missing data. Complete case analysis was the most common method for handling missing data with nearly 75% of the studies (n = 52) excluding individual observations due to missing data, at the initial phase of study inclusion or at the analysis stage. Of the 10 studies where multiple imputation was used, only 1 (10.0%) study followed the guideline for reporting the procedure fully using online supplementary documents. CONCLUSION: The current reporting and handling of missing data in longitudinal observational studies of older adults are inadequate. Journal endorsement and implementation of guidelines may potentially improve the quality of missing data reporting. Further, authors should be encouraged to use online supplementary files to provide additional details on how missing data were addressed, to allow for more transparency and comprehensive appraisal of studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-022-01605-w.
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spelling pubmed-90403432022-04-27 The reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals Okpara, Chinenye Edokwe, Chidozie Ioannidis, George Papaioannou, Alexandra Adachi, Jonathan D. Thabane, Lehana BMC Med Res Methodol Research BACKGROUND: Missing data are common in longitudinal studies, and more so, in studies of older adults, who are susceptible to health and functional decline that limit completion of assessments. We assessed the extent, current reporting, and handling of missing data in longitudinal studies of older adults. METHODS: Medline and Embase databases were searched from 2015 to 2019 for publications on longitudinal observational studies conducted among persons ≥55 years old. The search was restricted to 10 general geriatric journals published in English. Reporting and handling of missing data were assessed using questions developed from the recommended standards. Data were summarised descriptively as frequencies and proportions. RESULTS: A total of 165 studies were included in the review from 7032 identified records. In approximately half of the studies 97 (62.5%), there was either no comment on missing data or unclear descriptions. The percentage of missing data varied from 0.1 to 55%, with a 14% average among the studies that reported having missing data. Complete case analysis was the most common method for handling missing data with nearly 75% of the studies (n = 52) excluding individual observations due to missing data, at the initial phase of study inclusion or at the analysis stage. Of the 10 studies where multiple imputation was used, only 1 (10.0%) study followed the guideline for reporting the procedure fully using online supplementary documents. CONCLUSION: The current reporting and handling of missing data in longitudinal observational studies of older adults are inadequate. Journal endorsement and implementation of guidelines may potentially improve the quality of missing data reporting. Further, authors should be encouraged to use online supplementary files to provide additional details on how missing data were addressed, to allow for more transparency and comprehensive appraisal of studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-022-01605-w. BioMed Central 2022-04-26 /pmc/articles/PMC9040343/ /pubmed/35473665 http://dx.doi.org/10.1186/s12874-022-01605-w Text en © The Author(s) 2022 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, visithttp://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
Okpara, Chinenye
Edokwe, Chidozie
Ioannidis, George
Papaioannou, Alexandra
Adachi, Jonathan D.
Thabane, Lehana
The reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals
title The reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals
title_full The reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals
title_fullStr The reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals
title_full_unstemmed The reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals
title_short The reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals
title_sort reporting and handling of missing data in longitudinal studies of older adults is suboptimal: a methodological survey of geriatric journals
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040343/
https://www.ncbi.nlm.nih.gov/pubmed/35473665
http://dx.doi.org/10.1186/s12874-022-01605-w
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