| Literature DB >> 35079446 |
Clara L Reyes1, Rebecca L Palacios1, Karoline Sondgeroth1, Ernesto A Moralez2.
Abstract
BACKGROUND: Despite increasing cancer incidence among young Latinas (<50 yrs.) in the US, little is known about how young, child-rearing Latinas cope with cancer in the US-Mexico border region.Entities:
Keywords: Cancer Survivorship; Coping; Family; Latinas; US-Mexico Border
Year: 2021 PMID: 35079446 PMCID: PMC8785974 DOI: 10.4236/jct.2021.124018
Source DB: PubMed Journal: J Cancer Ther ISSN: 2151-1934
Focus group and individual interview guide.
| 1. What, if anything, has been particularly difficult or challenging for you in coping with your cancer? |
| 2. What are things that have helped your recovery or coping the most? |
| 3. What type of family/friend support, if any, was available to you following your cancer diagnosis? |
| 4. Who gave you the most support to help cope with your cancer? |
| 5. With what did your friends/family help you following your diagnosis? |
| 6. What support did you want that you did not get from family/friends? |
| 7. In what ways, if any, did you rely on your school-age/adolescent children for your support during the cancer treatment and early post-treatment period? |
Summary and sequence of data analytic steps [21].
| Step 1: Establish units of analysis of transcribed data |
| Step 2: Peer debrief the units |
| Step 3: Inductively code units of analysis into non-overlapping subcategories |
| Step 4: Peer debrief subcategories |
| Step 5: Refine and group similar subcategories, ensuring they are mutually exclusive |
| Step 6: Peer review higher-order groups of subcategories ( |
| Step 7: Group similar categories into domains |
| Step 8: Peer debrief domains |
| Step 9: Identify a core construct |
| Step 10: Peer debrief core construct |
Participant characteristics (n = 9).
| Characteristic | Total (Percentage) |
|---|---|
| Language | |
| English | 7 (78%) |
| Spanish | 2 (22%) |
| County | |
| Doña Ana, NM | 5 (56%) |
| El Paso, TX | 4 (44%) |
| Age (yrs.) (mean = 36.67) | |
| <30 | 1 (11%) |
| 30 – 39 | 4 (44%) |
| 40 – 49 | 4 (44%) |
| Age at diagnosis (yrs.) (mean = 34.78) | |
| <30 | 2 (22%) |
| 30 – 39 | 6 (67%) |
| 40 – 49 | 1 (11%) |
| Education | |
| High school or less | 2 (22%) |
| Some college, no degree | 2 (22%) |
| Associate or Bachelor’s degree | 5 (56%) |
| Marital Status | |
| Married | 6 (67%) |
| Single or Divorced | 3 (33%) |
| Employed | |
| Yes | 6 (67%) |
| No | 3 (33%) |
| Cancer diagnosis | |
| Breast | 5 (56%) |
| Thyroid | 2 (22%) |
| Ovarian | 2 (22%) |
| Time since diagnosis (yrs.) (mean = 1.89 yrs. ) | |
| ≤1 | 3 (33%) |
| 2 | 3 (33%) |
| 3 | 3 (33%) |