| Literature DB >> 35343641 |
Tyler T Miller1, Scott H Maurer1,2,3, James T Felker1,2.
Abstract
OBJECTIVE: Social media (SM) is ubiquitous in modern society. How SM provides information, advice, and community to families coping with childhood brain tumors is poorly understood. We sought to understand how caregivers of children with brain tumors use and are affected by SM.Entities:
Keywords: brain tumor; caregivers; communication; neuro-oncology; parents; social media
Mesh:
Year: 2022 PMID: 35343641 PMCID: PMC9468429 DOI: 10.1002/cam4.4693
Source DB: PubMed Journal: Cancer Med ISSN: 2045-7634 Impact factor: 4.711
Patient Characteristics
| A. Demographics | ||
|---|---|---|
| Variable |
| % |
| Relationship to patient | ||
| Mother | 33 | 92% |
| Father | 2 | 6% |
| Grandmother | 1 | 3% |
| Age | ||
| 20–29 | 5 | 14% |
| 30–39 | 17 | 47% |
| 40–49 | 11 | 31% |
| 50–59 | 2 | 6% |
| 60–69 | 1 | 3% |
| Race | ||
| Asian | 1 | 3% |
| Black | 3 | 8% |
| White (Hispanic) | 1 | 3% |
| White (Non‐Hispanic) | 31 | 86% |
| Education | ||
| No/some high school | 1 | 3% |
| High school diploma/ GED | 18 | 50% |
| Associate's degree | 2 | 6% |
| Bachelor's degree | 11 | 31% |
| Post‐bachelor's degree | 4 | 11% |
| Annual household income | ||
| Below $25,000 | 7 | 19% |
| 25,000–50,000 | 6 | 17% |
| 50,000–75,000 | 8 | 22% |
| 75,000–100,000 | 3 | 8% |
| Above $100,000 | 12 | 33% |
| Patient's age | ||
| 0–5 | 13 | 36% |
| 6–10 | 8 | 22% |
| 11–15 | 9 | 25% |
| 16–20 | 6 | 17% |
| Patient's sex | ||
| Male | 21 | 58% |
| Female | 15 | 42% |
| Patient's diagnosis | ||
| Atypical Teratoid Rhabdoid Tumor (ATRT) | 1 | 3% |
| Diffuse Intrinsic Pontine Glioma (DIPG) | 2 | 6% |
| Ependymoma | 2 | 6% |
| Germinoma | 1 | 3% |
| High‐grade glioma (HGG) | 3 | 8% |
| High‐grade neuroepithelial tumor | 1 | 3% |
| Low‐grade glioma (LGG) | 15 | 42% |
| Medulloblastoma | 3 | 8% |
| Pineoblastoma | 2 | 6% |
| Primitive neuro‐ectodermal tumor (PNET) | 1 | 3% |
| Relapsed ATRT | 1 | 3% |
| Relapsed Ependymoma | 4 | 11% |
FIGURE 1SM platforms and helpful users. Total distribution of participants' used platforms is shown for “General Use” (A), “Reading Cancer‐related Information” (B), and “Sharing Cancer‐related Information” (C). Total distribution of who was most helpful on SM (D) is also shown. Participants chose more than one response if applicable
FIGURE 2Descriptive survey results. Results were stratified based on Likert scale responses (1–2 = disagree/rarely, 3 = neutral, and 4–5 = agree/most of the time)
FIGURE 3Descriptive survey results grouped by (A) frequency of SM use and (B) anticipated prognosis of child. Results were listed as mean with standard deviation, with 5 representing the most positive response (agree/always) and 1 being disagree/never