Cargando…
Orthopaedic Surgical Demand Index: A Measure of Need in the United States
Before being evaluated by a physician, more than 50% of patients will search their symptoms on the Google search engine. In fact, Google was the engine used for nearly 90% of all online searches between 2016 and 2018. These search data are stored by Google and can be investigated through google exte...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668561/ https://www.ncbi.nlm.nih.gov/pubmed/36733987 http://dx.doi.org/10.5435/JAAOSGlobal-D-22-00131 |
_version_ | 1784831940510089216 |
---|---|
author | Davison-Kerwood, Maxwell Jiang, Sam Gonzalez1, Mark |
author_facet | Davison-Kerwood, Maxwell Jiang, Sam Gonzalez1, Mark |
author_sort | Davison-Kerwood, Maxwell |
collection | PubMed |
description | Before being evaluated by a physician, more than 50% of patients will search their symptoms on the Google search engine. In fact, Google was the engine used for nearly 90% of all online searches between 2016 and 2018. These search data are stored by Google and can be investigated through google extended trends for health (GETH). The goal of this research was to use GETH to correlate Google search probabilities for elective orthopaedic procedures with the orthopaedic surgeon density in each US state to create a surgical demand index (SDI) that could be then compared between states. In addition, this study aims to assess the effects of annual income, percent minority population, and unemployment rate on that SDI. METHODS: Google search probabilities were collected using the Google Trends Extraction Tool. Search probabilities were collected in each state for composite search terms. Data were collected in monthly intervals between 2016 and 2018 and averaged. The states were grouped into geographic regions. One-way analysis of variance and pairwise Mann-Whitney U tests were done between these regions. Linear regression analysis was conducted to assess the effect of median annual statewide income, percent minority population, and unemployment rate with SDI. RESULTS: The analysis of variance and Mann-Whitney U tests demonstrated a difference between regions. Linear regression analysis revealed a notable effect of median income on SDI, but no effect of percent minority population or unemployment rate. CONCLUSIONS: The Midwest and South had higher regional demand than the Northeast and West, with West Virginia being the most in need and the District of Columbia being the least in need. Annual median income had a notable negative effect on SDI, whereas percent minority population and unemployment rate had no effect. This study highlights the inequality that exists in the southern and midwestern United States and identifies one potential predictive factor of this unequal SDI. |
format | Online Article Text |
id | pubmed-9668561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer |
record_format | MEDLINE/PubMed |
spelling | pubmed-96685612022-11-18 Orthopaedic Surgical Demand Index: A Measure of Need in the United States Davison-Kerwood, Maxwell Jiang, Sam Gonzalez1, Mark J Am Acad Orthop Surg Glob Res Rev Research Article Before being evaluated by a physician, more than 50% of patients will search their symptoms on the Google search engine. In fact, Google was the engine used for nearly 90% of all online searches between 2016 and 2018. These search data are stored by Google and can be investigated through google extended trends for health (GETH). The goal of this research was to use GETH to correlate Google search probabilities for elective orthopaedic procedures with the orthopaedic surgeon density in each US state to create a surgical demand index (SDI) that could be then compared between states. In addition, this study aims to assess the effects of annual income, percent minority population, and unemployment rate on that SDI. METHODS: Google search probabilities were collected using the Google Trends Extraction Tool. Search probabilities were collected in each state for composite search terms. Data were collected in monthly intervals between 2016 and 2018 and averaged. The states were grouped into geographic regions. One-way analysis of variance and pairwise Mann-Whitney U tests were done between these regions. Linear regression analysis was conducted to assess the effect of median annual statewide income, percent minority population, and unemployment rate with SDI. RESULTS: The analysis of variance and Mann-Whitney U tests demonstrated a difference between regions. Linear regression analysis revealed a notable effect of median income on SDI, but no effect of percent minority population or unemployment rate. CONCLUSIONS: The Midwest and South had higher regional demand than the Northeast and West, with West Virginia being the most in need and the District of Columbia being the least in need. Annual median income had a notable negative effect on SDI, whereas percent minority population and unemployment rate had no effect. This study highlights the inequality that exists in the southern and midwestern United States and identifies one potential predictive factor of this unequal SDI. Wolters Kluwer 2022-11-15 /pmc/articles/PMC9668561/ /pubmed/36733987 http://dx.doi.org/10.5435/JAAOSGlobal-D-22-00131 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Orthopaedic Surgeons. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Davison-Kerwood, Maxwell Jiang, Sam Gonzalez1, Mark Orthopaedic Surgical Demand Index: A Measure of Need in the United States |
title | Orthopaedic Surgical Demand Index: A Measure of Need in the United States |
title_full | Orthopaedic Surgical Demand Index: A Measure of Need in the United States |
title_fullStr | Orthopaedic Surgical Demand Index: A Measure of Need in the United States |
title_full_unstemmed | Orthopaedic Surgical Demand Index: A Measure of Need in the United States |
title_short | Orthopaedic Surgical Demand Index: A Measure of Need in the United States |
title_sort | orthopaedic surgical demand index: a measure of need in the united states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668561/ https://www.ncbi.nlm.nih.gov/pubmed/36733987 http://dx.doi.org/10.5435/JAAOSGlobal-D-22-00131 |
work_keys_str_mv | AT davisonkerwoodmaxwell orthopaedicsurgicaldemandindexameasureofneedintheunitedstates AT jiangsam orthopaedicsurgicaldemandindexameasureofneedintheunitedstates AT gonzalez1mark orthopaedicsurgicaldemandindexameasureofneedintheunitedstates |