Original Research ,

Volume III, Issue 1, 25 - 30, 1 April 2023.

Cancer-related Search Queries in the Philippines: A Trend Analysis Across a Fifteen-Year Period

Figure 1. Search volume indices of the pre-selected cancer-related search terms (y-axis) vs year (x-axis)

Author(s) :

Jose Ma. H. Zaldarriaga1, Aldric Mikhail N. Aw1, Valerie Anne Cuyegkeng-Go1, Juan Miguel L. Manalo1, Juan Martin J. Magsanoc1, Angela Peña-Camacho1, Angela Gaerlan-Tagle1, Ma. Conchitina O. Mendoza1

1Department of Radiation Oncology, St. Luke’s Medical Center, Republic of the Philippines

Corresponding author: Jose Ma. H. Zaldarriaga, Email: jmaphzaldarriaga@stlukes.com.ph

Publication History: Received - , Revised - , Accepted - , Published Online - 1 April 2023.

Copyright: © The author(s). Published by Casa Cărții de Știință.


User License: Creative Commons Attribution – NonCommercial (CC BY-NC)


DOI: 10.53011/JMRO.2023.01.05

411

Views

8

Downloads

0

Citations

×

Cite

Highlights

• Internet search trends may serve as real-time population-level indicators of cancer awareness, incidence patterns, and public concern.
• The growing reliance on online health information underscores both opportunities for patient empowerment and risks of misinformation.
• Filipino oncologists and healthcare institutions must proactively engage in the digital space to provide reliable, culturally contextualized cancer education.

Abstract

Analyzing the trends of internet search queries can provide rapid, unrestricted, and valuable insight on health-seeking behaviors of entire populations. More than half of the Philippine population use the internet; however, trends of search queries have rarely been analyzed. This study analyzed the trends of cancer-related search queries in the Philippines over a fifteen-year period. For the period spanning December 31, 2007 to December 31, 2022 in the Philippines, Google TrendsTM was used to compute the search volume index (SVI) for pre-selected cancer-related search terms. Two-way repeated measures analysis of variance with post-hoc Dunnett’s multiple comparisons test was performed to detect a difference between the search terms across the period of study and to explore the trend of these differences. We observed statistically significant increases in SVI for the pre-selected terms from 2016 to 2022, indicating a significant increase in cancer-related search activity in the Philippines in recent years.

1. Introduction

Each day, more than 12.5 million health-related computer searches are conducted on the internet (1). Historically, cancer has been and still is one of the most popular health-related searches worldwide, accounting for 5-10% of all search terms (2-4), Internet use is ubiquitous among patients across the full spectrum of cancer care, from early investigations to post-treatment follow-up (4).

By supplementing the health information they receive from their healthcare providers, as well as in engaging in and being part of online support groups, the internet can help cancer patients navigate through the complexities of their disease. However, the internet is likewise replete with misinformation, inconsistencies, and unregulated advice for which both the patient and the physician must be vigilant (5,6). For this reason, there is growing interest in analyzing the trends of internet search queries as a means of gauging population perceptions of and attitudes and behaviors towards health (7- 9). One of the most commonly used avenues is the Google search engine, being the world’s largest as it accounts for more than 70% of the web search industry (10-11).

The Philippines, a developing country in Southeast Asia, has a population of more than 109 million people, making it the 8th most populated country in Asia and the 13th most populated in the world (12). Approximately 67% of the entire Philippine population have access to the internet (13). Despite the prevalence of internet usage in the country, however, trends of search queries have rarely if at all been analyzed and thus utilized to inform patient and physician behavior and public policy. It is this gap which this study seeks to fill.

2. Methods

All search queries in Google are indexed and can be accessed using Google TrendsTM, an unrestricted and open-access online tool. Analyzing the trends and patterns of a particular search query using Google TrendsTM necessitates specifying a time period and geographical area/s for analysis. One subsequently specifies a search term/s. For every selected time point, Google TrendsTM then calculates what is called a “Search Volume Index” (SVI) which specifies the proportion of search queries containing the inputted search term/s compared to the total number of searches performed during the specified time period and geographical area/s of study. The SVI ranges from 0 to 100; an SVI of 100 signifies the peak popularity of search queries containing the specified search term/s whereas an SVI of 0 indicates insufficient data for the search term/s.

For this study, the following cancer-related search terms were pre-selected- “cancer”, “kanser” (Filipino translation for “cancer”), “tumor” (the favored spelling in American English which is more commonly used in the Philippines), and “bukol” (Filipino translation for “tumor”). Each was then inputted into Google Trends™, with the following search parameters set: “Philippines” as geographical area, “Custom time range” set to December 31, 2007 to December 31, 2022 as the time period, “All categories” set as the search category, and “Web Search” set as the search modality. SVI values were then calculated in monthly intervals. Comma Separated Values (CSV) files were then downloaded into Microsoft Excel for each of these four search terms. The SVI data from the CSV files were arranged in arrays and transferred to IBM SPSS Statistics 21. A two-way repeated measures (RM) analysis of variance (ANOVA) was then performed to determine whether there exists a difference between the specified cancer-related search terms across the time period of study. If a statistically significant difference was found, post hoc Dunnett’s multiple comparisons test would then be performed to explore the trend of these differences, with 2007 set as the baseline.

3. Results

Two-way RM ANOVA revealed a statistically significant difference between the cancerrelated search terms across 2007 to 2022, F (5.724, 172.8) = 153.0, p < 0.001; thus, Dunnett’s multiple comparisons test was subsequently performed. Statistically significant increases in SVI were noted for the search term “cancer” in 2016 (p = 0.021), 2017 (p = 0.025), 2018 (p = 0.019), 2019 (p = 0.010), 2020 (p = 0.001), 2021 (p = 0.001), and 2022 (p = 0.009). For the search term “kanser”, statistically significant increases were noted for 2018 (p = 0.021), 2019 (p = 0.032), 2020 (p = 0.012), 2021 (p = 0.019), and 2022 (p = 0.022). There was a statistically significant increase in the search term “tumor” for 2017 (p = 0.032), 2018 (p = 0.042), 2019 (p = 0.026), 2020 (p = 0.020), 2021 (p = 0.018) and 2022 (p = 0.011). Finally, for the search term “bukol”, a statistically significant increase was noted in 2019 (p = 0.018), 2020 (p = 0.020), 2021 (p = 0.039), and 2022 (p = 0.022).

Figure 1. Search volume indices of the pre-selected cancer-related search terms (y-axis) vs year (x-axis)

Table 1. Comparison for each of cancer-related search term from 2007 to 2022 in the Philippines

Search term Year Mean
difference
95% confidence
interval of difference
P-value
Cancer 2007 vs 2008 9.600 -7.263 to 21.735 0.273
2007 vs 2009 7.624 -6.738 to 19.629 0.193
2007 vs 2010 5.402 -3.488 to 17.773 0.256
2007 vs 2011 7.256 -6.923 to 18.003 0.229
2007 vs 2012 3.409 -5.435 to 4.259 0.109
2007 vs 2013 -0.949 -11.351 to 2.398 0.126
2007 vs 2014 -11.650 -29.845 to 15.845 0.099
2007 vs 2015 -17.624 -44.537 to 4.329 0.079
2007 vs 2016 -22.639 -47.893 to -2.946 0.021
2007 vs 2017 -32.960 -66.920 to -10.204 0.025
2007 vs 2018 -40.700 -71.092 to -20.920 0.019
2007 vs 2019 -38.092 -69.451 to -18.837 0.010
2007 vs 2020 -66.734 -83.876 to -32.756 0.001
2007 vs 2021 -68.876 -88.637 to -40.265 0.001
2007 vs 2022 -81.630 -92.645 to -64.282 0.009
Kanser 2007 vs 2008 7.367 -6.369 to 16.726 0.458
2007 vs 2009 7.103 -6.736 to 15.358 0.470
2007 vs 2010 2.539 -4.628 to 10.036 0.274
2007 vs 2011 2.028 -4.725 to 8.357 0.223
2007 vs 2012 0.629 -10.095 to 5.640 0.109
2007 vs 2013 0.067 -18.630 to 2.003 0.098
2007 vs 2014 -4.694 -27.734 to 2.563 0.126
2007 vs 2015 -10.729 -41.047 to 1.374 0.094
2007 vs 2016 -15.369 -41.994 to 0.834 0.087
2007 vs 2017 -20.946 -50.082 to 0.083 0.602
2007 vs 2018 -55.560 -52.910 to -9.269 0.021
2007 vs 2019 -30.625 -59.637 to -20.638 0.032
2007 vs 2020 -40.268 -63.057 to -31.946 0.012
2007 vs 2021 -53.285 -66.637 to -59.364 0.019
2007 vs 2022 -67.474 -83.570 to -70.364 0.022
Tumor 2007 vs 2008 4.357 -0.537 to 10.182 0.061
2007 vs 2009 3.250 -2.767 to 9.528 0.155
2007 vs 2010 3.585 -4.634 to 11.589 0.229
2007 vs 2011 2.267 -6.075 to 10.610 0.438
2007 vs 2012 1.259 -5.240 to 6.456 0.296
2007 vs 2013 0.940 -4.793 to 5.638 0.529
2007 vs 2014 -13.432 -18.378 to 2.379 0.334
2007 vs 2015 -24.359 -38.362 to 1.374 0.165
2007 vs 2016 -30.368 -41.364 to 0.936 0.104
2007 vs 2017 -43.673 -51.163 to -16.175 0.032
2007 vs 2018 -44.426 -56.921 to -31.926 0.042
2007 vs 2019 -55.573 -60.450 to -30.695 0.026
2007 vs 2020 -71.527 -70.363 to -45.263 0.020
2007 vs 2021 -77.473 -80.364 to -67.474 0.018
2007 vs 2022 -80.376 -85.373 to -71.374 0.011
Bukol 2007 vs 2008 2.437 -11.469 to 18.153 0.702
2007 vs 2009 3.750 -9.120 to 16.624 0.402
2007 vs 2010 3.833 -9.556 to 17.234 0.411
2007 vs 2011 2.267 -6.075 to 10.614 0.439
2007 vs 2012 1.258 -5.246 to 6.499 0.295
2007 vs 2013 0.947 -4.794 to 5.736 0.529
2007 vs 2014 -1.0833 -14.646 to 12.474 0.961
2007 vs 2015 -14.670 -30.689 to 1.485 0.071
2007 vs 2016 -20.101 -31.226 to 11.164 0.074
2007 vs 2017 -32.404 -45.963 to 13.526 0.185
2007 vs 2018 -34.637 -50.364 to 20.639 0.237
2007 vs 2019 -44.423 -56.923 to -31.925 0.018
2007 vs 2020 -45.574 -60.459 to -30.684 0.020
2007 vs 2021 -55.992 -67.264 to -40.263 0.039
2007 vs 2022 -70.374 -70.364 to -48.362 0.022

4. Discussion

For all the pre-specified cancer-related search terms, statistically significant increases in SVI were noted from 2016 up to 2022, pointing to a significant increase in cancer-related search activity in the Philippines in recent years.

There are several possible reasons behind this finding. First, granted a steady and constant increase in global population and of subsequent internet users in every succeeding year, there is likely an increased interest in the disease in question, as similarly demonstrated by a trend analysis by Dalanon and Matsuka (2020) which correlated increased dental health-related search activity with increased overall interest on the subject (7).

An increase in search activity for a particular disease may likewise parallel an increase in its incidence. Indeed, there has been an overall increase in the incidence of all cancers in the last two decades in the Philippines. Increased screening measures and earlier detection rates are believed to be key drivers, together with the ever-increasing adoption of a highly Westernized lifestyle and diet (13-14). Similarly, increased online search activity for cardiovascular disease (15), type 2 diabetes mellitus (16), and obesity (17) have likewise paralleled an increase in their respective incidences on a global scale.

Finally, an increased health-related search activity may also parallel a gradual shift away from the previous unilateral, paternalistic, physician-centric model of healthcare towards a more empowered patient population actively participating and engaging in their own health. Increasingly, rather than simply relying on healthcare professions as the sole source of medical information, patients desire to learn more about their health on their own (18-19).

As more and more Filipinos turn to the internet for their cancer-related queries, so do healthcare professionals increasingly need to meet them halfway in this cyber terrain. The present-day oncologist needs to recognize the ever-increasing role and significance of the internet in Philippine cancer care. Utilized appropriately for purposes of patient education and health information dissemination, the internet can serve as one of our most powerful allies in the care of the present-day cancer patient. For example, at the point of care, cancer patients and their caregivers can receive a list of websites which will serve as sources of verified information to help them navigate through their diagnosis and therapeutics. Healthcare providers can also be more proactive in developing their own information and educational pages, adapted to the needs and nuances of their particular patient population.

This study has several key limitations. First, demographic data such as age and sex not otherwise available in Google TrendsTM would have provided a deeper profile behind the internet users making these cancer-related search queries. Second, although Google is the predominant search engine both locally and worldwide, there are other, non-search engine platforms, including social media, from which internet users can obtain health information. Third, this study only focused on general cancer-related search terms; further research is recommended to focus on specific cancer types and cancer therapeutic modalities.

5. Conclusion

This study has shown a significant increase in internet searches for cancer information in the Philippines since 2015-2016. Proactively providing reliable information to patients regarding their disease, its therapies and concomitant potential side effects and can help them better understand and cope with their condition, hence transforming them into active participants of their care.

Abbreviations:

ANOVA – analysis of variance

CSV – comma separated values

RM – repeated measures

SVI – search volume index

Statements:

Author’s contributions: JHZ, JJM, and APC conceived of the discussed topic; JHZ, ANA, VCG, and JLL drafted the initial paper; JHZ, ANA, AGT and MCM made the final revisions to the final paper.

Consent for publication: As the corresponding author, I confirm that the manuscript has been read by and approved for submission by all authors.

Funding: This study did not receive any specific grant from the funding agencies in the public, commercial, or not-for-profit sector.

Conflicts of Interest: The authors declare no conflict of interest.

References:

  1. Eysenbach G. The Impact of the Internet on Cancer Outcomes. CA Cancer J Clin. 2003; 53: 356–371. Available at: https://acsjournals.onlinelibrary.wiley.com/doi/pdf/10.3322/canjclin.53.6.356 accessed 26 November 2020. DOI: https://doi.org/10.3322/canjclin.53.6.356
  2. Ziebland S, Chapple A, Dumelow C, et al. How the internet affects patients’ experience of cancer: a qualitative study. BMJ. 2004; 328(7439): 564. DOI: https://doi.org/10.1136/bmj.328.7439.564
  3. Peterson M, Fretz P. Patient Use of the Internet for Information in a Lung Cancer Clinic. CHEST. 2003; 123: 452–457. Available at: https://pdfs.semanticscholar.org/33ec/4edb25beb1e1ffe876d5f5d9252f4fa63246.pdf accessed 24 November 2020. DOI: https://doi.org/10.1378/chest.123.2.452
  4. Wong C, Harrison C, Britt H, Henderson J. Patient use of the internet for health information. Aust Fam Physician. 2014; 43(12): 875–977. PMID: 25705739.
  5. Potts H, Wyatt J. Survey of doctors’ experience of patients using the Internet. J Med Internet Res. 2002; 4(1): 42–53. DOI: https://doi.org/10.2196/jmir.4.1.e5
  6. Murray E, Lo B, Pollack L, et al. The Impact of Health Information on the Internet on the Physician-Patient Relationship. Arch Intern Med. 2003; 163(14): 1727–1734. DOI: https://doi.org/10.1001/archinte.163.14.1727
  7. Dalanon J, Matsuka Y. A 10-Year Analysis of Internet Search Trends of the Oral Health-Seeking Behavior of Filipinos. PPP. 2020; 12(2): 280–284. DOI: https://doi.org/10.1002/pop4.280
  8. Nuti S, Wayda B, Ranansingje I. The Use of Google Trends in Health Care Research: A Systematic Review. PLoS ONE. 2014; 9(10): e109583. DOI: https://doi.org/10.1371/journal.pone.0109583
  9. Carneiro H, Mylonakis E. Google Trends: A Web-Based Tool for Real-Time Surveillance of Disease Outbreaks. Clin. Infect. Dis. 2009; 49(10): 1557–1564. DOI: https://doi.org/10.1086/630200
  10. Cervellin G, Comelli I, Lippi G. Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings. JEGH. 7(3): 185–189. DOI: https://doi.org/10.1016/j.jegh.2017.06.001
  11. Eysenbach G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the Internet. J Med Internet Res. 2009; 11(1). DOI: https://doi.org/10.2196/jmir.1157
  12. Republic of the Philippines Commission on Population. (2020). 2015 Census of Population. Available at: https://web.archive.org/web/20190403061418/http://www.popcom.gov.ph/. Accessed 8 Dec 2020.
  13. Omorog C. Internet Security Awareness of Filipinos: A Survey Paper. International Journal of Computing Sciences Research. 2020; 1(4): 14–26. DOI: https://doi.org/10.25147/ijcsr.2017.001.1.18.
  14. Laudico A, Mirasol-Lumague M, Mapua C, et al. Cancer Incidence and Survival in Metro Manila and Rizal Province, Philippines. JJCO. 2010; 40(7). DOI: https://doi.org/10.1093/jjco/hyq034
  15. Senecal C, Mahowald M, Lerman L, Lopes-Jimenez F, Lerman A. Increasing utility of Google Trends in monitoring cardiovascular disease. Digit Health. 2021;7:20552076211033420. Published 2021 Sep 28. doi:10.1177/20552076211033420
  16. Tkachenko, N., Chotvijit, S., Gupta, N. et al. Google Trends can improve surveillance of Type 2 diabetes. Sci Rep 7, 4993 (2017). https://doi.org/10.1038/s41598-017-05091-9
  17. Fabbian F, Rodríguez-Muñoz PM, López-Carrasco JC, Cappadona R, Rodríguez-Borrego MA, López-Soto PJ. Google Trends on Obesity, Smoking and Alcoholism: Global and Country-Specific Interest. Healthcare (Basel). 2021;9(2):190. Published 2021 Feb 9. doi:10.3390/healthcare9020190
  18. Chin, JJ. Doctor-patient Relationship: from Medical Paternalism to Enhanced Autonomy. 2002; 43(3): 152-55.
  19. McCoy, M. Autonomy, Consent, and Medical Paternalism: Legal Issues in Medical Intervention. 2008; 14(6). https://doi.org/10.1089/acm.2007.0803
Figure 1. Search volume indices of the pre-selected cancer-related search terms (y-axis) vs year (x-axis)
Figure 1. Search volume indices of the pre-selected cancer-related search terms (y-axis) vs year (x-axis)