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. Author manuscript; available in PMC: 2019 Dec 1.
Published in final edited form as: J Cancer Educ. 2018 Dec;33(6):1328–1332. doi: 10.1007/s13187-017-1254-z

Is Cancer Information Exchanged on Social Media Scientifically Accurate?

Elizabeth A Gage-Bouchard 1,, Susan LaValley 2, Molli Warunek 3, Lynda Kwon Beaupin 4, Michelle Mollica 5
PMCID: PMC5775059  NIHMSID: NIHMS894043  PMID: 28721645

Abstract

Background

Cancer patients and their caregivers are increasingly using social media as a platform to share cancer experiences, connect with support, and exchange cancer-related information. Yet, little is known about the nature and scientific accuracy of cancer-related information exchanged on social media.

Methods

We conducted a content analysis of 12 months of data from 18 publically available Facebook Pages hosted by parents of children with Acute Lymphoblastic Leukemia (N = 15,852 posts), and extracted all exchanges of medically-oriented cancer information. We systematically coded for themes in the nature of cancer-related information exchanged on personal Facebook Pages, and two oncology experts independently evaluated the scientific accuracy of each post.

Results

Of the 15,852 total posts 171 posts contained medically-oriented cancer information. The most frequent type of cancer information exchanged was information related to treatment protocols and health services use (35%) followed by information related to side effects and late effects (26%), medication (16%), medical caregiving strategies (13%), alternative and complementary therapies (8%), and other (2%). Overall, 67% of all cancer information exchanged was deemed medically/scientifically accurate, 19% was not medically/scientifically accurate, and 14% described unproven treatment modalities.

Conclusions

These findings highlight the potential utility of social media as a cancer-related resource, but also indicate that providers should focus on recommending reliable, evidence-based sources to patients and caregivers.

Keywords: United States, Health Communication, Information Seeking, Social Media, Caregiver, Psycho-social Oncology, Pediatrics


Social media is becoming an increasingly prominent platform for health-related communication in the United States.13 In contrast to expert-generated, static, content on traditional websites, social media platforms such as Facebook, YouTube, Twitter, CaringBridge, and PatientsLikeMe are characterized by their interactive nature. Users are able to develop and share their own content and react to content created by others.35 Due to this, social media users participate in a networked process of accessing, creating, and disseminating information.4 Social networking sites are the most commonly used form of social media, and were used by 74% of American adults in 2014.6 Facebook is the most widely used social networking site, and seventy-one percent of US adults have a Facebook account.6

Patients and their caregivers are increasingly using social media as a way to share their illness experiences,2,3,713 and engage in health-related discussion.1416 As such, social media is becoming a prominent source of cancer-related information and communication. People use social media platforms to “crowd source” information, relying on social arbitration among hundreds or thousands of connected social media users to access information, make decisions, cope with hardship, and solve problems.17 Social media sites also democratize information dissemination through enabling patients and caregivers to connect directly with each other and share information that is not mediated or filtered by health care professionals or experts.18

Health professionals express mixed reactions to the increase in health communication on social media. While previous research documents that patients and caregivers value social media as a platform to share and obtain health-related information1922 health-related professionals have concerns about the loss of control of information being shared and the potential for the spread of misinformation on social media.23 Patients may choose to share personal health information on social media that exposes physicians to scrutiny and/or criticism,24 use social media to promote perspectives that are not based upon sound science,25 or access information through social media about treatment options not applicable to the patient’s particular care.26 Yet, little is known about the nature and scientific accuracy of cancer-related information exchanged on social media. In this study we fill this gap in knowledge by systematically characterizing: (1) the types, and (2) scientific accuracy of medically-oriented cancer information posted on personal Facebook Pages of cancer caregivers.

Method

Due to the intensive demands of caring for a child with cancer,27 we focused our analysis on personal Facebook Pages hosted by parents of children with Acute Lymphoblastic Leukemia. We used the Facebook search engine function to identify Facebook Pages for analysis using the search terms “Acute Lymphoblastic Leukemia” and “Childhood.” We restricted search results to personal Pages that were publically available. Facebook Groups enable connection around a common interest, and group membership is publically available, moderated by a Group administrator, and/or available by invitation.28 In contrast to Facebook Groups, Facebook Pages are profiles of people, businesses, or organizations.28 We selected the first 25 Pages and reviewed the information section in the pool of potential Facebook Pages to identify Pages that were administered by a parent of a child with Acute Lymphoblastic Leukemia. This process yielded 18 Facebook Pages for analysis. We extracted the content from the information and wall sections of each Page from May 2012 to May 2013. The wall section of a Facebook Page is a space where Page administrators and public commenters can post messages. All Pages were publically available, and therefore consent to analyze posts and comments was not required by the Institutional Review Board. We extracted a total of 15,852 unique posts and comments from the Facebook Pages. Of these posts, 2,030 were posts by the Page administrators (the parent of the cancer patient) and 13,822 were comments from other Facebook users.

We conducted a content analysis of the Facebook Pages, and extracted all exchanges of medically-oriented cancer information. The coders (first, second, third, and fifth authors) pilot coded 10 pages of the same data file to ensure consensus on the interpretation of what constituted medically-oriented cancer information. At this stage we refined our definition of medically-oriented cancer information to be verifiable information about cancer or cancer treatment. For example, we excluded information about caregiving strategies (for example, “My child loves Ramen after procedures”) that could not be evaluated as medically/scientifically accurate by a panel of oncology experts. Two coders independently reviewed each data file and extracted any data excerpts that included medically-oriented cancer information into an Excel file. To ensure inter-coder reliability each team of coders met to discuss any discrepancies in data extracted, resolved conflicts, and achieved consensus on the final data excerpts to be included for analysis.29

Two coders (first and second authors) conducted a second round of data analysis to characterize the types of cancer information exchanged. Each coder independently reviewed the data and conducted in vivo coding. 29 After coding the data independently, the two coders had coding meeting where they discussed codes, assessed inter-coder reliability, and achieved consensus on a final codebook. Both coders then conducted a second round of independent coding and used the codebook to systematically analyze each post. After independent analysis the two coders met to discuss any discrepancies in coding and achieve consensus. 29

Finally, two oncology experts, a pediatric oncologist (fourth author) and an oncology nurse practitioner (third author), then systematically evaluated each post to analyze the medical and scientific accuracy of information exchanged on personal Facebook Pages. Each expert independently evaluated the first 25 data excerpts, met to discuss codes, and achieved consensus. 29 The two experts then independently coded each data excerpt as (1) medically/scientifically accurate, (2) not medically/scientifically accurate, or (3) unproven treatment modalities. Facebook posts were coded as medically/scientifically accurate if they contained information that represented correct medical information that was based upon current scientific evidence (for example, “Itching is a side effect of morphine based drugs”). Posts were coded as not medically/scientifically accurate if they contained incorrect medical information (for example, “Brain tumors are the deadliest form of childhood cancer”). Posts were coded as unproven treatment modalities if they described information for which there is not a definitive base of scientific evidence (for example, “Have you tried Frankincense essential oil on her feet? Everyone I know that has battled cancer swears by it, helps them bounce back from chemo and gives them energy”). The oncology experts verified the medical and scientific accuracy of information using peer-reviewed publications and national clinical guidelines. After independent evaluation the two oncology experts met to discuss and resolve any conflicts and achieve consensus on the final data analysis.

Findings

Of the 15,852 total posts 171 posts contained medically-oriented cancer information. Twenty-five codes were identified to categorize the cancer information exchanged on cancer caregivers’ personal Facebook Pages. As shown in Table 1, the 25 codes were condensed to 6 themes: (1) alternative and complementary therapies, (2) medication, (3) treatment protocols and health services use, (4) side effects and late effects, (5) medical caregiving strategies, and (6) other. The most frequent type of cancer information exchanged was information related to treatment protocols and health services use (35%) followed by information related to side effects and late effects (26%), medication (16%), medical caregiving strategies (13%), alternative and complementary therapies (8%), and other (2%) (Table 2). Overall, 67% of all cancer information exchanged was deemed to be medically/scientifically accurate. Examples include “It is not uncommon for pediatric cancer children to need to see an Endocrinologist for hormone irregularities” and “MRI came back w/signs of AVN, Avascular Necrosis... bone death. If it is caught early enough some can be reversed.” Nineteen percent was not deemed medically/scientifically accurate, for example “When undigested sugars get into his intestines it throws water trying to neutralize it so that caused the severe diarrhea.” Fourteen percent of posts described unproven treatment modalities, for example “Are you doing the cool mist humidifier at night too to thin the mucous?” For specific types of cancer-related information exchanged, all information related to alternative and complementary therapies was based upon information related to unproven treatment modalities (Table 3). Seventy-eight percent of information exchanged related to medication was medically/scientifically accurate, and 22% was not medically/scientifically accurate. Seventy-five percent of information exchanged related to treatment protocols and health services use was medically/scientifically accurate, 23% was not medically/scientifically accurate, and 2% described unproven treatment modalities. Eighty percent of information exchanged related to side effects and late effects of cancer treatment was medically/scientifically accurate, and 20% was not medically/scientifically accurate. Fifty percent of information exchanged related to medical caregiving strategies was medically/scientifically accurate, 9% was not medically/scientifically accurate, and 41% described unproven treatment modalities.

Table 1.

Themes and Codes Related to the Types of Medically Oriented Cancer Information Exchanged on Social Media

Theme Codes
Alternative and Complementary Therapies Alternative Health Services/Treatments
Complementary Health Services/Treatments
Medication Description of Child’s Medications
Information about Medications
Suggestion of Medications to Ask For
Treatment Protocols and Health Services Use Medical Procedures
Diagnostic Tests
Description of Treatment Options
Suggestion of Treatment Options
Health Services Use/Navigating Health Care System
Prognosis
Suggestion of Possible Diagnosis for Symptoms
Information/Facts about Childhood Cancer
Side Effects and Late Effects Description of Child’s Side Effects
Suggestion Related to Side Effects
Late Effects
Medical Caregiving Strategies Minimizing Exposure to Germs and Infection
Medication Administration
Diet
Managing Symptoms at Home
Adapting Home to Accommodate Medical Care
Adapting Family Routines to Accommodate Medical Care
Other Medical Question
Update on Caregiver’s Health
Physician Soliciting Patients

Table 2.

Frequency of Types of Medically Oriented Cancer Information Exchanged on Social Media

Theme Frequency N (%)
Alternative and Complementary Therapies 13 (8%)
Medication 27 (16%)
Treatment Protocols and Health Services Use 60 (35%)
Side Effects and Late Effects 45 (26%)
Medical Caregiving Strategies 22 (13%)
Other 4 (2%)
Total 171 (100%)

Table 3.

Medical and Scientific Accuracy Medically Oriented Cancer Information Exchanged on Social Media

Theme Medically/Scientifically Accurate N (%) Not Medically/Scientifically Accurate N (%) Unproven Treatment Modalities N (%) Total N (%)
Alternative and Complementary Therapies 0 (0%) 0 (0%) 13 (100%) 13 (100%)
Medication 21 (78%) 6 (22%) 0 (0%) 27 (100%)
Treatment Protocols and Health Services Use 45 (75%) 14 (23%) 1 (2%) 60 (100%)
Side Effects and Late Effects 36 (80%) 9 (20%) 0 (0%) 45 (100%)
Medical Caregiving Strategies 11 (50%) 2 (9%) 9 (41%) 22 (100%)
Other 2 (50%) 2 (50%) 0 (0%) 4 (100%)

Discussion

Cancer patients and their caregivers are increasingly using social media as a platform to share cancer experiences, connect with support, and exchange cancer-related information. 2,3,716,3031 Yet little is known about the nature and scientific accuracy of cancer-related information exchanged on social media. We took a critical step forward by systematically characterizing the scientific accuracy of different types of medically oriented cancer information exchanged on social media. Of the 15,852 total posts, only 171 posts contained medically-oriented cancer information, indicating that exchange of this type of informational support is not a primary use of social media for cancer caregivers. We found that most cancer information exchanged in this sample was deemed to be based upon sound medical or scientific evidence by our panel of oncology experts. This finding highlights the potential utility of social media as a cancer-related resource, and could be a helpful resource for caregivers within specific communities. We did find, however, that 19% of the medically-oriented cancer information shared on Facebook was scientifically inaccurate, indicating that patients should be cautioned that some information shared on social media is incorrect. Clinicians should evaluate specific online resources and communities before recommending them to cancer patients and their caregivers. Regardless, these findings are a first foray into this topic, and show that clinicians could refer cancer patients and caregivers to specific credible social media sites as a cancer-related resource.

Some data limitations should be noted when interpreting these findings. There may be differences in the types and scientific accuracy of cancer information users exchange on social media sites other than Facebook. Future research should compare user behavior across popular social networking sites such as Facebook, CaringBridge, and PatientsLikeMe. Similarly, there may be differences in user practices by the social media users’ relationship to the cancer patient (e.g. patient vs. caregiver) or by disease site (e.g. breast cancer, colon cancer). Future research should compare cancer information practices on social media comparing social media users of different social, demographic, and disease characteristics. Two oncology clinicians reviewed each social media post and assessed the medical and scientific accuracy of information exchanged. The judgments of these two clinicians may not represent the perspectives of all oncology experts. Finally, the types and scientific accuracy of cancer information may vary by type and by host of Facebook Page or Group. Our findings related to caregivers’ personal Facebook Pages may be different than the types and scientific accuracy of cancer information posted to Facebook Groups formed around a cancer-related advocacy organization, or a Group dedicated to providing cancer-related support. Systematically examining these differences is an important avenue for future research.

Acknowledgments

Funding: This work was supported by Roswell Park Cancer Institute and National Cancer Institute (NCI) grant P30CA016056.

Footnotes

The authors have no conflicts of interest to disclose

Contributor Information

Elizabeth A. Gage-Bouchard, Roswell Park Cancer Institute, Department of Cancer Prevention and Control, Elm & Carlton Streets, Buffalo, NY 14263.

Susan LaValley, The University at Buffalo, Department of Community Health and Health Behavior.

Molli Warunek, The University at Buffalo, School of Nursing.

Lynda Kwon Beaupin, Roswell Park Cancer Institute, Department of Pediatric Hematology/Oncology.

Michelle Mollica, The National Cancer Institute.

References

  • 1.Chou WY, Hunt Y, Beckjord EB, Moser RP, Hesse BW. Social media use in the United States: Implications for health communication. J Med Internet Res. 2009;11(4):e48. doi: 10.2196/jmir.1249. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hamm MP, Chisholm A, Shulhun J, Milne A, Scott SD, Given LM, Hartling L. Social media use among patients and caregivers: A scoping review. BMJ Open. 2013;3(5):e002819. doi: 10.1136/bmjopen-2013-002819. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Moorhead SA, Haslett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A new dimension of health care: Systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res. 2013;15(4):e85. doi: 10.2196/jmir.1933. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Chou WY, Prestin A, Lyons C, Wen K. Web 2.0 for health promotion: Reviewing the current evidence. Am J Public Health. 2013;103(1):e9–e18. doi: 10.2105/AJPH.2012.301071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Weaver B, Lindsay B, Gitelman B. Communication technology and social media: opportunities and implications for health care systems. Online J Issues Nurs. 2012;17(3):3. [PubMed] [Google Scholar]
  • 6.Duggan M, Ellison NB, Lampe C, Lenhart A, Madden M. Social Media Update 2014. [Accessed June 1, 2015];Pew Research Center Website. http://www.pewinternet.org/2015/01/09/social-media-update-2014/
  • 7.Author 2013
  • 8.Gomez-Zuniga B, Fernandez-Luque L, Pousada M, Hernandez-Encuentra E, Armayones M. ePatients on YouTube: Analysis of four experiences from the patients’ perspective. Med 2 0. 2012;1(1):e1. doi: 10.2196/med2.2039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Chou WY, Hunt Y, Folkers A, Auguston E. Cancer survivorship in the age of YouTube and social media: A narrative analysis. J Med Internet Res. 2011;13(1):e7. doi: 10.2196/jmir.1569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Clerici CA, Veneroni L, Bisogno G, Trapuzzano A, Ferrari A. Videos on rhabdomyosarcoma on YouTube: an example of the availability of information on pediatric tumors on the web. J Pediatr Hematol Oncol. 2012;34(8):e329–e331. doi: 10.1097/MPH.0b013e31825886f8. [DOI] [PubMed] [Google Scholar]
  • 11.Greene JA, Choundry NK, Kilabuk E, Shrank WH. Online social networking by patients with diabetes: A qualitative evaluation of communication with Facebook. J Gen Intern Med. 2012;26(3):287–292. doi: 10.1007/s11606-010-1526-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Greaves F, Ramirez-Cano-D, Millett C, Darzi A, Donaldson L. Harnessing the cloud of patient experience: using social media to detect poor quality healthcare. BMJ Qual Saf. 2013;22(3):251–255. doi: 10.1136/bmjqs-2012-001527. [DOI] [PubMed] [Google Scholar]
  • 13.Wicks P, Massagli M, Frost J, Brownstein C, Okun S, Vaughan T, Bradley R, Heywood J. Sharing health data for better outcomes on PatientsLikeMe. J Med Internet Res. 2010;12(2):e19. doi: 10.2196/jmir.1549. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Bravo CA, Hoffman-Goetz L. Tweeting about prostate cancer and testicular cancers: what are individuals saying in their discussions about the 2013 movember Canada campaign? J Cancer Educ. 2016;31(3):559–566. doi: 10.1007/s13187-015-0838-8. [DOI] [PubMed] [Google Scholar]
  • 15.Chou WY, Prestin A, Kunath MS. Obesity in social media: A mixed methods analysis. Transl Behav Med. 2014;4(3):314–323. doi: 10.1007/s13142-014-0256-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Tsuya A, Sugawara Y, Tanaka A, Nariatsu H. Do cancer patients Tweet? Examining the Twitter use of cancer patients in Japan. J Med Internet Res. 2014;16(5):e137. doi: 10.2196/jmir.3298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Metzger MJ, Flanagin AJ, Medders RB. Social and heuristic approaches to credibility evaluation online. J Comm. 2010;60(3):413–439. [Google Scholar]
  • 18.Griffiths F, Cave J, Boardman F, Ren J, Pawlikowska T, Ball R, Clarke A, Cohen A. Social networks the future for health care delivery. Soc Sci Med. 2012;75:2233–2241. doi: 10.1016/j.socscimed.2012.08.023. [DOI] [PubMed] [Google Scholar]
  • 19.Bender JL, Jimenez-Marroquin MC, Jadad AR. Seeking support on Facebook: A content analysis of breast cancer groups. J Med Internet Res. 2011;31(1):e16. doi: 10.2196/jmir.1560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Abramson K, Keefe B, Chou WY. Communicating about cancer through Facebook: A qualitative analysis of a breast cancer awareness page. J Health Commun. 2015;20(2):237–243. doi: 10.1080/10810730.2014.927034. [DOI] [PubMed] [Google Scholar]
  • 21.Portier K, Greer GE, Rokach L, Ofek N, Wang Y, Biyani P, Yu M, Banerjee S, Zhao K, Mitra P, Yen J. Understanding topics and sentiment in an online cancer survivor community. J Natl Cancer Inst Monogr. 2013;(47):195–198. doi: 10.1093/jncimonographs/lgt025. [DOI] [PubMed] [Google Scholar]
  • 22.Lebo PB, Quehenberger F, Kamolz LP, Lumenta DB. The Angelina effect revisited: Exploring a media-related impact on public awareness. Cancer. 2015;21:3959–64. doi: 10.1002/cncr.29461. [DOI] [PubMed] [Google Scholar]
  • 23.Domínguez M, Sapiña LJ. Pediatric cancer and the internet: exploring the gap in doctor-parents communication. J Cancer Educ. 2015;30(1):145–51. doi: 10.1007/s13187-014-0700-4. [DOI] [PubMed] [Google Scholar]
  • 24.Walker J, Darer JD, Elmore JG, Delbanco T. The road toward fully transparent medical records. N Engl J Med. 2014;370:6–8. doi: 10.1056/NEJMp1310132. [DOI] [PubMed] [Google Scholar]
  • 25.Poland GA, Jacobson RM. The age-old struggle against the antivaccinationists. N Engl J Med. 2011;362:97–99. doi: 10.1056/NEJMp1010594. [DOI] [PubMed] [Google Scholar]
  • 26.West H. Practicing in Partnership with Dr. Google: the growing effect of social media in oncology practice and research. Oncologist. 2013;18:780–782. doi: 10.1634/theoncologist.2012-0453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hoekstra-Weebers JE, HM, Wijnberg-Williams BJ, Jaspers JPC, Kamps WA, van de Wiel HBM. Coping and its effect on psychological distress of parents of pediatric cancer patients: a longitudinal prospective study. Psycho-Oncology. 2012;8:903–911. doi: 10.1002/pon.1987. [DOI] [PubMed] [Google Scholar]
  • 28.Hicks M. Facebook Tips: What’s the difference between a Facebook Page and Group? [Accessed June 1, 2015];Facebook Tips Blog. https://www.facebook.com/notes/facebook/facebook-tips-whats-the-difference-between-a-facebook-page-and-group/324706977130.
  • 29.Weis L, Fine M. Speed Bumps: A student-friendly guide to qualitative research. New York, NY: Teachers College Press; 2000. [Google Scholar]
  • 30.Author 2016
  • 31.Author 2016

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