| Literature DB >> 35480966 |
Katherine Treiman1, Elissa C Kranzler2, Rebecca Moultrie1, Laura Arena1, Nicole Mack3, Erica Fortune4, Reese Garcia5, Richard L Street6.
Abstract
The COVID-19 pandemic heightened the psychosocial impact of a cancer diagnosis as patients face concerns about the risk of infection and serious disease and uncertainties about the impact on their treatment. We conducted an online survey (n = 317) and focus groups (n = 19) with patients to examine their experiences with cancer care during the pandemic. Most survey respondents (68%) reported one or more disruptions or delays in care, including appointments switched to telehealth (49%). Patients perceived both benefits (e.g., convenience) and drawbacks (e.g., more impersonal) to telehealth. For many patients, COVID-19-related restrictions on bringing family members to support them during appointments was a major concern and left them feeling alone and vulnerable during treatment. Patients' self-reported coping during the pandemic was positively associated with age, education, and income (P < .05 for each) and better communication with their doctors during telehealth sessions (P < .001). Study findings highlight the importance of patient-centered care and communication to help patients cope with the challenges of the pandemic. Further research is needed to develop guidelines for use of telehealth as part of patient-centered cancer care.Entities:
Keywords: COVID-19 pandemic; cancer; coping; distress and anxiety; patient experience; patient-centered care; psycho-oncology; psychosocial distress; telehealth
Year: 2022 PMID: 35480966 PMCID: PMC9036334 DOI: 10.1177/23743735221092567
Source DB: PubMed Journal: J Patient Exp ISSN: 2374-3735
Figure 1.Disruptions or delays in care overall and by racial/ethnic group.
Survey Participants use of Telehealth.
| Number of Telehealth Sessions | ||||
|---|---|---|---|---|
| N (%) | ||||
| Characteristic | None | 1–5 times | 6 + times | |
| Overall | 90 (28.4%) | 151 (47.6%) | 76 (24.0%) | |
| Gender
| ||||
| Female | 57 (27.7%) | 109 (52.9%) | 40 (19.4%) | .0110 |
| Male | 32 (29.4%) | 41 (37.6%) | 36 (33.0%) | |
| Other | 0 (0.0%) | 1 (100.0%) | 0 (0.0%) | |
| Prefer not to answer | 1 (100.0%) | 0 (0.0%) | 0 (0.0%) | |
| Age | ||||
| 18–4 | 5 (20.0%) | 5 (20.0%) | 15 (60.0%) | <.001 |
| 35–49 | 16 (16.2%) | 48 (48.5%) | 35 (35.4%) | |
| 50–64 | 37 (28.5%) | 73 (56.2%) | 20 (15.4%) | |
| 65 + | 32 (50.8%) | 25 (39.7%) | 6 (9.5%) | |
| Race/Ethnicity
| ||||
| Hispanic | 3(6%) | 15 (30%) | 32 (64%) | <.001 |
| Non-Hispanic White | 73 (33.3%) | 111 (50.7%) | 35 (16.0%) | |
| Non-Hispanic Black | 9 (29.0%) | 17 (54.8%) | 5 (16.1%) | |
| Other Non-Hispanic/ multiracial/other | 5 (31.3%) | 7 (43.8%) | 4 (25.0%) | |
| Cancer stage at diagnosis | ||||
| Stage 0/1 | 19 (42.2%) | 25 (55.6%) | 1 (2.2%) | <.001 |
| Stage II | 15 (23.4%) | 28 (43.8%) | 21 (32.8%) | |
| Stage III | 14 (17.1%) | 40 (48.8%) | 28 (34.1%) | |
| Stage IV | 21 (23.6%) | 46 (51.7%) | 22 (24.7%) | |
| Don't know/other | 21 (56.8%) | 12 (32.4%) | 4 (10.8%) | |
Note: aAnswers other than male and female were excluded for statistical testing.
For statistical testing, categories were collapsed into three categories: (1) Hispanic, (2) Non-Hispanic White, and (3) Non-Hispanic Black/Asian, American Indian, Native Hawaiians and Pacific Islanders/Other/Multiracial.
Statistical tests conducted were chi-square tests.
Perceptions About Benefits and Drawbacks of Telehealth.
| Benefits | |
|---|---|
| Convenience and comfort of home | |
| Family members and loved ones can easily participate | |
| Safer during pandemic | |
|
| |
| Harder to build rapport, impersonal | |
| Absence of comforting touch | |
| Lack of physical assessment |
Coping During the Pandemic.
| N (%) | |||||
|---|---|---|---|---|---|
| I am not coping very well | I am coping fairly well | I am coping very well | |||
| Overall | 44 (13.9%) | 191 (60.3%) | 82 (25.9%) | ||
| Age | |||||
| 18–34 | 4 (16.0%) | 19 (76.0%) | 2 (8.0%) | .0022 | |
| 35–49 | 17 (17.2%) | 60 (60.6%) | 22 (22.2%) | ||
| 50–64 | 20 (15.4%) | 75 (57.7%) | 35 (26.9%) | ||
| 65 + | 3 (4.8%) | 37 (58.7%) | 23 (36.5%) | ||
| Race/Ethnicity
| |||||
| Hispanic | 11 (22.0%) | 36 (72.0%) | 3 (6.0%) | .0010 | |
| Non-Hispanic White | 24 (11.0%) | 125 (57.1%) | 70 (32.0%) | ||
| Non-Hispanic Black | 6 (19.4%) | 20 (64.5%) | 5 (16.1%) | ||
| Other Non-Hispanic/multiracial/other | 3 (18.8%) | 10 (62.5%) | 3 (18.8%) | ||
| Education | |||||
| High school graduate/GED or less | 11 (32.4%) | 17 (50.0%) | 6 (17.6%) | .0011 | |
| Some college | 11 (19.0%) | 36 (62.1%) | 11 (19.0%) | ||
| Associate/or technical degree | 6 (9.4%) | 41 (64.1%) | 17 (26.6%) | ||
| College or advanced degree | 16 (9.9%) | 97 (60.2%) | 48 (29.8%) | ||
| Income | |||||
| Less than $20,000 | 3 (11.5%) | 16 (61.5%) | 7 (26.9%) | .0344 | |
| $20,001–$40,000 | 13 (31.7%) | 25 (61.0%) | 3 (7.3%) | ||
| $20,001–$40,000 | 11 (22.0%) | 28 (56.0%) | 11 (22.0%) | ||
| $60,001–$80,000 | 2 (5.0%) | 28 (70.0%) | 10 (25.0%) | ||
| $80,001–$100,000 | 4 (11.4%) | 21 (60.0%) | 10 (28.6%) | ||
| More than $100,001 | 10 (9.9%) | 60 (59.4%) | 31 (30.7%) | ||
| Don't know/Not sure/Prefer not to answer | 1 (4.2%) | 13 (54.2%) | 10 (41.7%) | ||
Note: aFor statistical testing, categories were collapsed into three categories: Hispanic, Non-Hispanic White, and Non-Hispanic Black/Asian, American Indian, Native Hawaiian or Pacific Islander/Other/Multiracial.
Statistical tests conducted were chi-square tests.