Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Online Journal of Public Health Informatics

Date Submitted: Sep 3, 2024
Date Accepted: Dec 12, 2024

The final, peer-reviewed published version of this preprint can be found here:

Quantifying Patient Demand for Orthopedics Care by Region Through Google Trends Analysis: Descriptive Epidemiology Study

Qiu A, Meadows K, Ye F, Iyawe O, Kenneth-Nwosa K

Quantifying Patient Demand for Orthopedics Care by Region Through Google Trends Analysis: Descriptive Epidemiology Study

Online J Public Health Inform 2025;17:e63560

DOI: 10.2196/63560

PMID: 39888712

PMCID: 11804898

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Quantifying Patient Demand for Orthopedics Care by Region through Google Trends Analysis: Descriptive Epidemiology Study 

  • Abram Qiu; 
  • Kristopher Meadows; 
  • Fei Ye; 
  • Osasu Iyawe; 
  • Kenneth Kenneth-Nwosa

ABSTRACT

Background:

There is a growing gap between surgeon availability and demand for orthopedic services in the United States. This study analyzes the geographic trends of this gap with a Relative Demand Index to guide precision public health interventions such as resource allocation, residency program expansion, and workforce planning to specific regions.

Objective:

Regional disparities in access to orthopedic care can be addressed with increasing orthopedic residencies based on our findings. We used publicly available online data to correlate the supply of orthopedic surgeons and demand for them across the United States.

Methods:

Data is from the US Census Bureau, AAMC ERAS directory, AAMC State Physician Workforce Data Report, and Google Trends. We calculated a normalized Relative Search Volume (RSV) and Relative Demand Index (RDI) and analyzed their relationship to the densities of orthopedic surgeons across the United States. We examined disparities with Spearman's rank correlation coefficient.

Results:

Orthopedic surgeon density, normalized to the highest density in our data, varies across the country, with the highest densities in Alaska (n=100), the District of Columbia (n=96), and Wyoming (n=72), and the lowest in Texas (n=0), Arkansas (n=6), and Oklahoma (n=64). States with the highest RDI values are Utah (n=97), Florida (n=88), and Texas (n=83), while those with the lowest are Alaska (n=0), the District of Columbia (n=5), and New Hampshire (n=7). Seven states lack orthopedic surgery residencies: Alaska, Maine, South Dakota, Wyoming, Montana, Delaware, and Idaho. In 2023, New York (n=19), Michigan (n=17), Ohio (n=17), Pennsylvania (n=16), and California (n=16) had the most residency programs.

Conclusions:

This study highlights the novel application of RDI to map regional need for orthopedics, and with this map, allow for better targeted resource allocation to expand orthopedic surgery training. The availability of orthopedic surgeons varies significantly across the US, with higher demand in southern states. Demand and supply, which RDI and orthopedic surgeon density represent, respectively, are strongly correlated negatively (r=-0.791, P<.001). States with more than fifteen residency programs still have a high demand (r=0.455, P<.001) for orthopedic surgeons.


 Citation

Please cite as:

Qiu A, Meadows K, Ye F, Iyawe O, Kenneth-Nwosa K

Quantifying Patient Demand for Orthopedics Care by Region Through Google Trends Analysis: Descriptive Epidemiology Study

Online J Public Health Inform 2025;17:e63560

DOI: 10.2196/63560

PMID: 39888712

PMCID: 11804898

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.