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Relationship between iHOT12 and HOS scores in hip pain patients
To determine if scores of the International Hip Outcome Tool-12 (iHOT12) and the Hip Outcome Score (HOS) correlate with one another in hip pain patients. Patients reporting to an orthopedic clinic for their scheduled appointment for hip pain were given a paper survey consisting of the iHOT12 and the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195934/ https://www.ncbi.nlm.nih.gov/pubmed/32382430 http://dx.doi.org/10.1093/jhps/hnaa002 |
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author | Brand, Jeff Hardy, Rich Tori, Aerika Fuchs, Hannah Sungur, Engin Monroe, Emily |
author_facet | Brand, Jeff Hardy, Rich Tori, Aerika Fuchs, Hannah Sungur, Engin Monroe, Emily |
author_sort | Brand, Jeff |
collection | PubMed |
description | To determine if scores of the International Hip Outcome Tool-12 (iHOT12) and the Hip Outcome Score (HOS) correlate with one another in hip pain patients. Patients reporting to an orthopedic clinic for their scheduled appointment for hip pain were given a paper survey consisting of the iHOT12 and the HOS. Demographic information [age, weight, height and body mass index (BMI)] was obtained by chart review. Overall, 114 patients were invited to voluntarily complete the surveys of which 23 declined. Our sample consisted of 91 (57 female and 34 male) patients (80% response rate). The HOS (iHOT12) explained 62% of the variation in iHOT12 (HOS) by using a linear model (Pearson’s correlation(r) is 0.79, P < 0.001). Age, weight, BMI, gender and arthritis did not show a statistically significant predictive power explaining HOS. However, only gender had a ‘statistically’ significant predictive power explaining iHOT12 (P = 0.007). The relationship between the two scores are stronger for males (r = 0.81, P < 0.001) compared with females (r = 0.77, P < 0.001). The proportion of variations explained on one of the scores by the other are 0.66 for males and 0.59 for females. HOS score together with gender explained 64% of the variation in iHOT12 by using a linear model. iHOT12 together with the non-statistically significant gender term explained 62% of the variation in HOS by using a linear model. It may not be necessary to collect both the iHOT12 and HOS, since the predictive power of one on the other is high. Collecting HOS together with information on gender is preferable compared with collecting iHOT12. Level of evidence: Level III. |
format | Online Article Text |
id | pubmed-7195934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71959342020-05-07 Relationship between iHOT12 and HOS scores in hip pain patients Brand, Jeff Hardy, Rich Tori, Aerika Fuchs, Hannah Sungur, Engin Monroe, Emily J Hip Preserv Surg Research Articles To determine if scores of the International Hip Outcome Tool-12 (iHOT12) and the Hip Outcome Score (HOS) correlate with one another in hip pain patients. Patients reporting to an orthopedic clinic for their scheduled appointment for hip pain were given a paper survey consisting of the iHOT12 and the HOS. Demographic information [age, weight, height and body mass index (BMI)] was obtained by chart review. Overall, 114 patients were invited to voluntarily complete the surveys of which 23 declined. Our sample consisted of 91 (57 female and 34 male) patients (80% response rate). The HOS (iHOT12) explained 62% of the variation in iHOT12 (HOS) by using a linear model (Pearson’s correlation(r) is 0.79, P < 0.001). Age, weight, BMI, gender and arthritis did not show a statistically significant predictive power explaining HOS. However, only gender had a ‘statistically’ significant predictive power explaining iHOT12 (P = 0.007). The relationship between the two scores are stronger for males (r = 0.81, P < 0.001) compared with females (r = 0.77, P < 0.001). The proportion of variations explained on one of the scores by the other are 0.66 for males and 0.59 for females. HOS score together with gender explained 64% of the variation in iHOT12 by using a linear model. iHOT12 together with the non-statistically significant gender term explained 62% of the variation in HOS by using a linear model. It may not be necessary to collect both the iHOT12 and HOS, since the predictive power of one on the other is high. Collecting HOS together with information on gender is preferable compared with collecting iHOT12. Level of evidence: Level III. Oxford University Press 2020-02-12 /pmc/articles/PMC7195934/ /pubmed/32382430 http://dx.doi.org/10.1093/jhps/hnaa002 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Articles Brand, Jeff Hardy, Rich Tori, Aerika Fuchs, Hannah Sungur, Engin Monroe, Emily Relationship between iHOT12 and HOS scores in hip pain patients |
title | Relationship between iHOT12 and HOS scores in hip pain patients |
title_full | Relationship between iHOT12 and HOS scores in hip pain patients |
title_fullStr | Relationship between iHOT12 and HOS scores in hip pain patients |
title_full_unstemmed | Relationship between iHOT12 and HOS scores in hip pain patients |
title_short | Relationship between iHOT12 and HOS scores in hip pain patients |
title_sort | relationship between ihot12 and hos scores in hip pain patients |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195934/ https://www.ncbi.nlm.nih.gov/pubmed/32382430 http://dx.doi.org/10.1093/jhps/hnaa002 |
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