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Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile
AIM: This study aimed to investigate if in the 49-item Oral Health Impact Profile (OHIP): (i) more missing data occurred when participants answered more questions, (ii) more missing data occurred in a particular item or set of related items, and (iii) item missingness was associated with the demogra...
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/PMC8609727/ https://www.ncbi.nlm.nih.gov/pubmed/34814888 http://dx.doi.org/10.1186/s12903-021-01954-w |
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author | Pattanaik, Swaha Lee, Chi Hyun John, Mike T. Chanthavisouk, Phonsuda Paulson, Danna |
author_facet | Pattanaik, Swaha Lee, Chi Hyun John, Mike T. Chanthavisouk, Phonsuda Paulson, Danna |
author_sort | Pattanaik, Swaha |
collection | PubMed |
description | AIM: This study aimed to investigate if in the 49-item Oral Health Impact Profile (OHIP): (i) more missing data occurred when participants answered more questions, (ii) more missing data occurred in a particular item or set of related items, and (iii) item missingness was associated with the demographic characteristics and oral health-related quality of life (OHRQoL) impairment level. METHODS: We used OHIP data from the Dimensions of OHRQoL (DOQ) project, which consolidated data from 35 individual studies. Among these studies, we analyzed OHIP data from 19 studies (4,847 surveyed individuals, of which 3,481 were completed under supervision and 1,366 were completed unsupervised) that contained some missing information. We computed descriptive statistics to investigate the OHIP missingness. We also used logistic regression analyses, with missing information as the dependent variable, and number of questions filled in (OHIP item rank) as the independent variable for samples with and without supervision. To investigate whether missing data occurs more in a particular item or set of related items we fitted regression models with individual OHIP items and the OHRQoL dimensions as indicator variables. We also investigated age, gender, and OHRQoL level as predictor variables for missing OHIP items. RESULTS: We found very low levels of missingness across individual OHIP items and set of related items, and there was no particular item or set of related items that was associated with more missing data. Also, more missing data did not depend on whether the participants answered more questions. In studies without supervision, older persons and females were 5.47 and 2.66 times more likely to have missing items than younger persons and females. However, in studies with supervision, older persons, and participants with more OHRQoL impairment were 1.70 and 2.65 times more likely to have missing items. CONCLUSION: The study participants from general and dental patient populations did not find OHIP-49 burdensome. OHIP item missingness did not depend on a particular OHIP item or set of related items, or if the study participants responded to a greater number of OHIP items. We did not find a consistent pattern of the influence of sociodemographic and OHRQoL magnitude information on OHIP missingness. The amount of missing OHIP information was low making any potential influence likely small in magnitude. |
format | Online Article Text |
id | pubmed-8609727 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86097272021-11-23 Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile Pattanaik, Swaha Lee, Chi Hyun John, Mike T. Chanthavisouk, Phonsuda Paulson, Danna BMC Oral Health Research AIM: This study aimed to investigate if in the 49-item Oral Health Impact Profile (OHIP): (i) more missing data occurred when participants answered more questions, (ii) more missing data occurred in a particular item or set of related items, and (iii) item missingness was associated with the demographic characteristics and oral health-related quality of life (OHRQoL) impairment level. METHODS: We used OHIP data from the Dimensions of OHRQoL (DOQ) project, which consolidated data from 35 individual studies. Among these studies, we analyzed OHIP data from 19 studies (4,847 surveyed individuals, of which 3,481 were completed under supervision and 1,366 were completed unsupervised) that contained some missing information. We computed descriptive statistics to investigate the OHIP missingness. We also used logistic regression analyses, with missing information as the dependent variable, and number of questions filled in (OHIP item rank) as the independent variable for samples with and without supervision. To investigate whether missing data occurs more in a particular item or set of related items we fitted regression models with individual OHIP items and the OHRQoL dimensions as indicator variables. We also investigated age, gender, and OHRQoL level as predictor variables for missing OHIP items. RESULTS: We found very low levels of missingness across individual OHIP items and set of related items, and there was no particular item or set of related items that was associated with more missing data. Also, more missing data did not depend on whether the participants answered more questions. In studies without supervision, older persons and females were 5.47 and 2.66 times more likely to have missing items than younger persons and females. However, in studies with supervision, older persons, and participants with more OHRQoL impairment were 1.70 and 2.65 times more likely to have missing items. CONCLUSION: The study participants from general and dental patient populations did not find OHIP-49 burdensome. OHIP item missingness did not depend on a particular OHIP item or set of related items, or if the study participants responded to a greater number of OHIP items. We did not find a consistent pattern of the influence of sociodemographic and OHRQoL magnitude information on OHIP missingness. The amount of missing OHIP information was low making any potential influence likely small in magnitude. BioMed Central 2021-11-23 /pmc/articles/PMC8609727/ /pubmed/34814888 http://dx.doi.org/10.1186/s12903-021-01954-w 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 Pattanaik, Swaha Lee, Chi Hyun John, Mike T. Chanthavisouk, Phonsuda Paulson, Danna Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile |
title | Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile |
title_full | Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile |
title_fullStr | Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile |
title_full_unstemmed | Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile |
title_short | Is assessment of oral health-related quality of life burdensome? An item nonresponse analysis of the oral health impact profile |
title_sort | is assessment of oral health-related quality of life burdensome? an item nonresponse analysis of the oral health impact profile |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609727/ https://www.ncbi.nlm.nih.gov/pubmed/34814888 http://dx.doi.org/10.1186/s12903-021-01954-w |
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