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. 2021 Mar 9;13(3):e13786.
doi: 10.7759/cureus.13786.

Using Google Trends Data to Track Healthcare Use for Hand Osteoarthritis

Samuel A Cohen  1 , Thompson Zhuang  1 , Michelle Xiao  1 , John B Michaud  1 , Lauren Shapiro  2 , Robin N Kamal  1
Affiliations

Using Google Trends Data to Track Healthcare Use for Hand Osteoarthritis

Samuel A Cohen et al. Cureus. .

Abstract

Background Google Trends (GT) is a free tool that provides analysis of search traffic for specified terms entered into the Google search engine. In this study, we evaluate the association between public interest in hand osteoarthritis (OA) as determined by GT search volumes and healthcare usage related to hand OA. Methodology We compiled GT data from 2010 to 2017 for the following group of hand OA-related search terms: "hand osteoarthritis," "hand arthritis," "hand swelling," "hand stiffness," and "chronic hand pain." Claims associated with hand OA codes were obtained from an administrative database (14.8 million patients) using International Classification of Diseases codes from 2010 to 2017. We performed trend analysis using univariate linear regression of GT data and hand OA claims. A month-by-month analysis of variation from yearly GT means was conducted for hand OA-related search terms. Results There was increased public interest in hand OA-related search terms from January 2010 to December 2017. Univariate linear regression of GT data for hand OA-related search terms compared with hand OA claims demonstrated a significant positive correlation (p < 0.001, r = 0.707). Peak public interest in hand OA-related search terms was observed in July, May, and June. Conclusions This study demonstrates the ability of GT to track healthcare use related to hand OA. Our data also add to the evidence for monthly variations in public interest related to hand OA. Clinics and surgery centers can employ GT data to anticipate resource utilization by hand OA patients.

Keywords: google trends; hand osteoarthritis; public interest.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Scatterplot displaying monthly GT RSV for hand OA-related search terms and monthly hand OA claims, January 2010 to December 2017.
GT, Google Trends; RSV, relative search volume; OA, osteoarthritis
Figure 2
Figure 2. Mean GT RSV for hand OA-related search terms, January 2010 to December 2017.
GT, Google Trends; RSV, relative search volume; OA, osteoarthritis
Figure 3
Figure 3. Monthly interest in hand OA-related search terms, 2010-2017.
OA, osteoarthritis
See this image and copyright information in PMC

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References

    1. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States, part II. Lawrence RC, Felson DT, Helmick CG, et al. Arthritis Rheum. 2008;58:26–35. - PMC - PubMed
    1. Osteoarthritis of the hands. [Jul;2020 ];https://www.arthritis.org/diseases/more-about/osteoarthritis-of-the-hands 2020
    1. Current and future impact of osteoarthritis on health care: a population-based study with projections to year 2032. Turkiewicz A, Petersson IF, Björk J, Hawker G, Dahlberg LE, Lohmander LS, Englund M. Osteoarthr Cartil. 2014;22:1826–1832. - PubMed
    1. Lifetime risk of symptomatic hand osteoarthritis: the Johnston County osteoarthritis project. Qin J, Barbour KE, Murphy LB, et al. Arthritis Rheumatol. 2017;69:1204–1212. - PMC - PubMed
    1. Healthcare resource utilization and costs by age and joint location among osteoarthritis patients in a privately insured population. Wang SX, Ganguli AX, Bodhani A, Medema JK, Reichmann WM, Macaulay D. J Med Econ. 2017;20:1299–1306. - PubMed

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