Research Letter
doi:10.2196/36441
Keywords
Introduction
Social media in health care has many benefits, including the dissemination of health information [
] and health promotion [ ]. The COVID-19 pandemic has highlighted the benefits of the internet and social media as tools through which individuals can exchange health information. While little is known about oncology patients’ preferences for social media platforms, particularly among minority populations and those in low socioeconomic status communities, some studies have shown its use is linked to the alleviation of patient stress and loneliness, increased feelings of self-efficacy and control of care, and efficient delivery of health information from health practitioners [ ]. The study aims to assess where patients from marginalized communities receive a majority of their health care information by surveying patients in a cancer clinic. This study was conducted at the University of Illinois Chicago, which is a public hospital that mainly serves patients from underresourced communities.Methods
Overview
Between March 2021 to June 2021, we administered a 16-item survey (
) adapted from the National Cancer Institute’s Health Information National Trends Survey (HINTS) [ ] to patients scheduled for an oncology visit at the Outpatient Care Center at UI Health. The survey was administered to 145 patients via email and 161 patients in person. Respondents were asked to identify sources used to self-educate about their diagnosis, preferred information source, social media use and preferences, and demographics. We used chi-square tests to assess associations between categorical variables.Ethics Approval
This study was approved by the institutional review board at the University of Illinois Chicago and was found to meet the criteria for exemption as defined in the US Department of Health and Human Services Regulations for the Protection of Human Subjects (45 CFR 46.104(d)).
Results
The demographics of our sample can be found in
. Respondents routinely accessed several forms of health information sources. The top three included their doctor or health care provider (n=274, 89.3%), internet search engines (n=218, 71.2%), and brochures and pamphlets (n=125, 40.7%). However, when directed to choose just one source, 207 (67.4%) chose their doctor or health care provider, while 67 (21.8%) chose internet search engines. The majority of respondents used a smartphone with the internet (n=237, 77.2%), a home desktop or laptop with the internet (n=192, 62.5%), or a tablet with the internet (n=188, 61.2%). However, approximately one-quarter of respondents indicated that they used a mobile phone without internet or a data plan.We found that the majority of respondents accessed social media in the past year (n=198, 64.7%). Using social media was associated with age (χ23=18.7; P<.001) and sex (Fisher P=.001). While respondents primarily used Facebook (n=69, 22.5%), YouTube (n=66, 21.5%), and Instagram (n=25, 8.1%) to receive health information, few shared health information with a medical professional (n=17, 5.5%), and if they did, they primarily used Facebook (n=8, 48.7%).
Email (n=145) | In person (n=161) | Statistic (df) | P value | ||||
Age (years), mean (SD) | 60.1 (13.4) | 55.3 (15.2) | t test: 2.9 (304) | .004 | |||
Gender, n (%) | Fisher | .04 | |||||
Male | 40 (27.6) | 48 (29.8) | |||||
Female | 105 (72.4) | 107 (66.5) | |||||
Not reported | 0 (0.0) | 6 (3.7) | |||||
Race, n (%) | Fisher | .26 | |||||
Asian | 4 (2.8) | 6 (3.7) | |||||
Black or African American | 75 (51.7) | 85 (52.8) | |||||
White | 49 (33.8) | 50 (31.2) | |||||
Mixed race or biracial | 0 (0.0) | 5 (3.1) | |||||
Not reported | 17 (11.7) | 15 (9.3) | |||||
Ethnicity, n (%) | Fisher | <.001 | |||||
Hispanic or Latino | 18 (12.4) | 26 (16.2) | |||||
Not Hispanic or Latino | 125 (86.2) | 98 (60.9) | |||||
Not reported | 2 (1.4) | 37 (22.9) | |||||
Primary care, n (%) | Chi-square: 6.1689 (3) | .10 | |||||
Has a primary care provider but has not seen them for over a year | 19 (13.1) | 22 (13.7) | |||||
Has a primary care provider not at UI Health, seen in the past year | 36 (24.8) | 50 (31.1) | |||||
Has a primary care provider at UI Health, seen in the past year | 84 (57.9) | 74 (45.9) | |||||
Does not have a primary care provider | 6 (4.1) | 15 (9.3) | |||||
Work status, n (%) | Fisher | .48 | |||||
Full-time paid work or education | 31 (21.4) | 30 (18.6) | |||||
Part-time paid work or part-time education | 10 (6.9) | 9 (5.6) | |||||
Full-time career/homemaker | 3 (2.1) | 2 (1.2) | |||||
Unemployed | 40 (27.6) | 21 (13) | |||||
Retired | 61 (42.1) | 54 (33.5) | |||||
Current living situation, n (%) | Fisher | .13 | |||||
Alone | 36 (24.8) | 46 (28.6) | |||||
With my spouse or partner | 56 (38.6) | 44 (27.3) | |||||
With my nonadult children | 12 (8.3) | 12 (7.5) | |||||
With family or friends | 40 (27.6) | 59 (36.7) | |||||
Homeless | 1 (0.7) | 0 (0.0) | |||||
Education, n (%) | Fisher | <.001 | |||||
Less than high school | 5 (3.5) | 19 (11.8) | |||||
High school diploma or equivalent | 26 (17.9) | 48 (29.6) | |||||
Some college but no degree | 32 (22.1) | 30 (18.6) | |||||
Associate’s degree or trade school | 15 (10.3) | 23 (14.3) | |||||
Bachelor’s degree | 37 (25.5) | 26 (16.1) | |||||
Graduate degree (master’s, MD, JD, PhD) | 30 (20.7) | 15 (9.3) | |||||
Annual income (US $), n (%) | Chi-square: 8.323 (3) | .04 | |||||
<15,000 | 14 (9.7) | 31 (19.1) | |||||
15,000-30,000 | 18 (12.4) | 23 (14.2) | |||||
30,000 | 57 (39.3) | 44 (27.2) | |||||
I wish not to answer | 56 (38.6) | 64 (39.5) | |||||
Comfort with income, n (%) | Chi-square: 0.81368 (3) | .85 | |||||
Living comfortably on present income | 54 (37.2) | 56 (35.8) | |||||
Getting by on present income | 58 (40) | 63 (38.9) | |||||
Finding it difficult on present income | 26 (17.9) | 32 (19.8) | |||||
Finding it very difficult | 7 (4.8) | 11 (6.8) |
Discussion
Principal Findings
Understanding how patients exchange health information is important to ensure access to accurate information and promote engagement with the health care team. We found that a majority of our patients use social media to find health-related information. However, there continues to be an internet access disparity that can limit patients’ ability to improve their health literacy. As social media engagement is linked to positive patient outcomes, using social media interventions can help us improve oncology patients’ illness experience. While both oncology providers and patients are increasingly using social media as a learning and sharing tool [
], the exact information-seeking behavior of patients with cancer has yet to be fully examined, especially in disadvantaged populations. In the current climate of rampant online medical misinformation, health care workers should find innovative ways to disseminate evidence-based patient-facing information using the platforms most accessed by oncology patients. Our study highlights the need to further explore communication preferences to help develop tailored communication strategies to support underserved patients and their families.Limitations
Our study has various limitations. This study was a single clinic, single institution study with a relatively small sample size. Additionally, our patient population was older, which could have influenced preferred social media platforms.
Data Availability
The data sets generated or analyzed during this study are available from the corresponding author upon reasonable request.
Conflicts of Interest
None declared.
Social media survey.
DOCX File , 24 KBReferences
- Moorhead SA, Hazlett 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. Apr 23, 2013;15(4):e85. [FREE Full text] [CrossRef] [Medline]
- Khatri C, Chapman SJ, Glasbey J, Kelly M, Nepogodiev D, Bhangu A, et al. STARSurg Committee. Social media and internet driven study recruitment: evaluating a new model for promoting collaborator engagement and participation. PLoS One. 2015;10(3):e0118899. [FREE Full text] [CrossRef] [Medline]
- Leist AK. Social media use of older adults: a mini-review. Gerontology. 2013;59(4):378-384. [CrossRef] [Medline]
- National Cancer Institute. Healthcare Information National Trends Survey. 2018. URL: https://hints.cancer.gov/ [accessed 2023-09-12]
- Watson J. Social media use in cancer care. Semin Oncol Nurs. May 2018;34(2):126-131. [CrossRef] [Medline]
Abbreviations
HINTS: Health Information National Trends Survey |
Edited by A Mavragani; submitted 21.03.22; peer-reviewed by S El kefi, S Hargreavess, K Na; comments to author 17.11.22; revised version received 16.06.23; accepted 04.07.23; published 25.03.24.
Copyright©Eric Freeman, Darshilmukesh Patel, Folasade Odeniyi, Mary Pasquinelli, Shikha Jain. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 25.03.2024.
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