| Literature DB >> 35141772 |
Richard L Street1, Katherine Treiman2, Elissa C Kranzler3, Rebecca Moultrie2, Laura Arena2, Nicole Mack2, Reese Garcia4.
Abstract
PURPOSE: The COVID-19 pandemic created significant disruptions in cancer care, much of which was transitioned to telehealth. Because telehealth alters the way clinicians and patients interact with one another, this investigation examined patients' perceptions of their communication with clinicians during the pandemic.Entities:
Keywords: COVID-19 pandemic; Health disparities; Patient preferences; Patient-centered communication; Telehealth
Mesh:
Year: 2022 PMID: 35141772 PMCID: PMC9046548 DOI: 10.1007/s00520-022-06897-8
Source DB: PubMed Journal: Support Care Cancer ISSN: 0941-4355 Impact factor: 3.359
Participant characteristics by ever use of telehealth (N=317)
| Overall | 227 (100.0%) | 90 (100.0%) | |
| Gender | |||
| Female | 149 (65.6%) | 57 (63.3%) | 0.7520 |
| Male | 77 (33.9%) | 32 (35.6%) | |
| Other | 1 (0.4%) | 0 (0.0%) | |
| Prefer not to answer | 0 (0.0%) | 1 (1.1%) | |
| Age | |||
| 18–34 | 20 (8.8%) | 5 (5.6%) | |
| 35–49 | 83 (36.6%) | 16 (17.8%) | |
| 50–64 | 93 (41.0%) | 37 (41.1%) | |
| 65+ | 31 (13.7%) | 32 (35.6%) | |
| Race/ethnicity | |||
| Hispanic | 47 (20.8%) | 3 (3.3%) | 0.0019 |
| NH White | 146 (64.6%) | 73 (81.1%) | |
| NH Black | 22 (9.7%) | 9 (10.0%) | |
| NH Asian, AI, NHPI, multiracial/other | 11 (4.9%) | 5 (5.6%) | |
| Education | |||
| HS graduate or GED or less | 22 (9.7%) | 12 (13.3%) | 0.7286 |
| Some college | 41 (18.1%) | 17 (18.9%) | |
| Associate degree in college or technical school degree | 51 (22.5%) | 13 (14.4%) | |
| College or advanced or postgraduate degree | 113 (49.8%) | 48 (53.3%) | |
| Cancer type | |||
| Colon or rectal cancer | 93 (41.0%) | 27 (30.0%) | 0.1925 |
| Breast cancer | 48 (21.1%) | 23 (25.6%) | |
| Other | 86 (37.9%) | 40 (44.4%) | |
| Time since diagnosis | |||
| <1 year | 78 (34.5%) | 25 (27.8%) | 0.2202 |
| 1 year to less than 2 years | 59 (26.1%) | 23 (25.6%) | |
| 2 years to less than 5 years | 48 (21.2%) | 23 (25.6%) | |
| 5+ years | 41 (18.1%) | 19 (21.1%) | |
| Mean (Std) | Mean (Std) | ||
| Mental health | 3.07 (1.01) | 3.36 (1.08) | 0.0273* |
| Physical health | 2.84 (0.98) | 3.06 (0.84) | 0.0645 |
Patient-centered communication (PCC) scores by subgroups among telehealth users (N=227)
| Overall | 3.8 (0.77) | |
| Number of telehealth sessions | 0.0005 | |
| 5 or less | 3.9 (0.76) | |
| 6 or more | 3.5 (0.72) | |
| Gendera | 0.0014 | |
| Female | 3.9 (0.78) | |
| Male | 3.6 (0.71) | |
| Other | 3.5 (.) | |
| Age | 0.0204 | |
| 18–34 | 3.5 (0.48) | |
| 35–49 | 3.7 (0.76) | |
| 50–64 | 3.8 (0.79) | |
| 65 or older | 4.1 (0.78) | |
| Race/ethnicityb | 0.0001 | |
| Hispanic | 3.3 (0.55) | |
| Non-Hispanic White | 4.0 (0.71) | |
| Non-Hispanic Black | 3.6 (0.66) | |
| Non-Hispanic Asian, American Indian, Native Hawaiian or Pacific Islander, Multiracial/Other | 3.2 (1.14) | |
| Education | 0.1675 | |
| High school graduate or GED or less | 3.8 (0.84) | |
| Some college | 3.5 (0.86) | |
| Associate degree in college or technical school degree | 3.8 (0.69) | |
| College or advanced or postgraduate degree | 3.9 (0.75) | |
| Cancer type | 0.6352 | |
| Colon or rectal cancer | 3.7 (0.74) | |
| Breast cancer | 3.9 (0.70) | |
| Other | 3.8 (0.84) | |
| Time since diagnosis | 0.6180 | |
| Less than 1 year | 3.7 (0.91) | |
| 1 year to less than 2 years | 3.7 (0.66) | |
| 2 years to less than 5 years | 3.9 (0.67) | |
| 5 or more years | 3.9 (0.73) | |
| Mental health | 0.0001 | |
| Poor | 3.1 (1.03) | |
| Fair | 3.5 (0.81) | |
| Good | 3.8 (0.69) | |
| Very good | 4.1 (0.61) | |
| Excellent | 4.2 (0.70) | |
| Physical health | 0.0001 | |
| Poor | 3.1 (0.92) | |
| Fair | 3.7 (0.71) | |
| Good | 3.9 (0.72) | |
| Very good | 3.9 (0.76) | |
| Excellent | 4.1 (0.57) | |
aAnswers other than male and female were excluded
bFor statistical testing, categories were collapsed into 3 categories: Hispanic; Non-Hispanic White and Non-Hispanic Black/Asian; and American Indian, Native Hawaiian or Pacific Islander/Other/Multiracial
cStatistical tests conducted were conducted using ANOVA
Predictors of patient-centered communication (PCC)
| 5 or less telehealth sessions | 0.09 (0.11) | [−0.116, 0.303] |
| 6 or more telehealth sessions | REF | |
| Female | 0.14 (0.1) | [−0.05, 0.337] |
| Male | REF | |
| 0.005 (0.004) | [−0.003, 0.013] | |
| Hispanic | −0.51 (0.13)*** | [−0.766, −0.259] |
| Non-Hispanic Black | −0.28 (0.15) | [−0.581, 0.02] |
| Non-Hispanic Other | −0.73 (0.21)*** | [−1.144, −0.312] |
| Non-Hispanic White | REF | |
| 0.20 (0.05)*** | [0.106, 0.303] | |
| 0.04 (0.05) | [−0.058, 0.146] | |
*p value <.05; **p value <.01; ***p value <.001
Comparison of telehealth and in-person communication by subgroup among telehealth users (N=227)
| Overall | 53 (23.3%) | 133 (58.6%) | 41 (18.1%) | 50 (22.0%) | 157 (69.2%) | 20 (8.8%) | 47 (20.7%) | 153 (67.4%) | 27 (11.9%) | |||
| Number of telehealth sessions | ||||||||||||
| 5 or less | 27 (17.9%) | 97 (64.2%) | 27 (17.9%) | 0.0166 | 22 (14.6%) | 114 (75.5%) | 15 (9.9%) | 0.0007 | 25 (16.6%) | 109 (72.2%) | 17 (11.3%) | 0.0669 |
| 6 or more | 26 (34.2%) | 36 (47.4%) | 14 (18.4%) | 28 (36.8%) | 43 (56.6%) | 5 (6.6%) | 22 (28.9%) | 44 (57.9%) | 10 (13.2%) | |||
| Gendera | ||||||||||||
| Female | 22 (14.8%) | 99 (66.4%) | 28 (18.8%) | 23 (15.4%) | 110 (73.8%) | 16 (10.7%) | 0.0025 | 22 (14.8%) | 108 (72.5%) | 19 (12.8%) | 0.0081 | |
| Male | 31 (40.3%) | 33 (42.9%) | 13 (16.9%) | 27 (35.1%) | 46 (59.7%) | 4 (5.2%) | 25 (32.5%) | 44 (57.1%) | 8 (10.4%) | |||
| Other | 0 (0.0%) | 1 (100.0%) | 0 (0.0%) | 0 (0.0%) | 1 (100.0%) | 0 (0.0%) | 0 (0.0%) | 1 (100.0%) | 0 (0.0%) | |||
| Prefer not to answer | 0 (.%) | 0 (.%) | 0 (.%) | 0 (.%) | 0 (.%) | 0 (.%) | 0 (.%) | 0 (.%) | 0 (.%) | |||
| 18−34 | 8 (40.0%) | 9 (45.0%) | 3 (15.0%) | 0.0027 | 9 (45.0%) | 9 (45.0%) | 2 (10.0%) | 0.0007 | 6 (30.0%) | 12 (60.0%) | 2 (10.0%) | 0.0496 |
| 35−49 | 25 (30.1%) | 46 (55.4%) | 12 (14.5%) | 27 (32.5%) | 50 (60.2%) | 6 (7.2%) | 20 (24.1%) | 56 (67.5%) | 7 (8.4%) | |||
| 50−64 | 17 (18.3%) | 59 (63.4%) | 17 (18.3%) | 12 (12.9%) | 71 (76.3%) | 10 (10.8%) | 18 (19.4%) | 61 (65.6%) | 14 (15.1%) | |||
| 65 or older | 3 (9.7%) | 19 (61.3%) | 9 (29.0%) | 2 (6.5%) | 27 (87.1%) | 2 (6.5%) | 3 (9.7%) | 24 (77.4%) | 4 (12.9%) | |||
| Hispanic | 23 (48.9%) | 20 (42.6%) | 4 (8.5%) | 27 (57.4%) | 19 (40.4%) | 1 (2.1%) | 22 (46.8%) | 21 (44.7%) | 4 (8.5%) | |||
| Non-Hispanic White | 16 (11.0%) | 98 (67.1%) | 32 (21.9%) | 11 (7.5%) | 118 (80.8%) | 17 (11.6%) | 16 (11.0%) | 113 (77.4%) | 17 (11.6%) | |||
| Non-Hispanic Black | 9 (40.9%) | 10 (45.5%) | 3 (13.6%) | 6 (27.3%) | 14 (63.6%) | 2 (9.1%) | 5 (22.7%) | 14 (63.6%) | 3 (13.6%) | |||
| Non-Hispanic Asian, American Indian, Native Hawaiian or Pacific Islander, Multiracial/Other | 5 (45.5%) | 4 (36.4%) | 2 (18.2%) | 6 (54.5%) | 5 (45.5%) | 0 (0.0%) | 4 (36.4%) | 4 (36.4%) | 3 (27.3%) | |||
| High school graduate or GED or less | 4 (18.2%) | 15 (68.2%) | 3 (13.6%) | 0.2475 | 5 (22.7%) | 17 (77.3%) | 0 (0.0%) | 0.0251* | 4 (18.2%) | 16 (72.7%) | 2 (9.1%) | 0.9513 |
| Some college | 12 (29.3%) | 21 (51.2%) | 8 (19.5%) | 11 (26.8%) | 28 (68.3%) | 2 (4.9%) | 11 (26.8%) | 20 (48.8%) | 10 (24.4%) | |||
| Associate degree in college or technical school degree | 17 (33.3%) | 28 (54.9%) | 6 (11.8%) | 17 (33.3%) | 29 (56.9%) | 5 (9.8%) | 13 (25.5%) | 34 (66.7%) | 4 (7.8%) | |||
| College or advanced or postgraduate degree | 20 (17.7%) | 69 (61.1%) | 24 (21.2%) | 17 (15.0%) | 83 (73.5%) | 13 (11.5%) | 19 (16.8%) | 83 (73.5%) | 11 (9.7%) | |||
| Cancer type | ||||||||||||
| Colon or rectal | 20 (21.5%) | 56 (60.2%) | 17 (18.3%) | 0.0754 | 21 (22.6%) | 65 (69.9%) | 7 (7.5%) | 0.5800 | 14 (15.1%) | 67 (72.0%) | 12 (12.9%) | 0.3269 |
| Breast | 20 (21.5%) | 35 (72.9%) | 7 (14.6%) | 7 | ||||||||
| (14.6%) | 35 (72.9%) | 6 (12.5%) | 9 (18.8%) | 33 (68.8%) | 6 (12.5%) | |||||||
| Other | 27 (31.4%) | 42 (48.8%) | 17 (19.8%) | 22 (25.6%) | 57 (66.3%) | 7 (8.1%) | 24 (27.9%) | 53 (61.6%) | 9 (10.5%) | |||
| Less than1 year | 14 (18.0%) | 46 (59.0%) | 18 (23.1%) | 0.443 | 14 | |||||||
| (18%) | 56 (71.8%) | 8 (10.3%) | 0.2192 | 15 (19.2%) | 50 (64.1%) | 13 (16.7%) | 0.5677 | |||||
| 1 year to less than 2 years | 19 (32.2%) | 34 (57.6%) | 6 (10.2%) | 14 (23.7%) | 41 (69.5%) | 4 (6.8%) | 14 (23.7%) | 42 (71.2%) | 3 (5.1%) | |||
| 2 years to less than 5 years | 9 (18.8%) | 29 (60.4%) | 10 (20.8%) | 7 | ||||||||
| (14.6%) | 38 (79.2%) | 3 (6.3%) | 8 (16.7%) | 34 (70.8%) | 6 (12.5%) | |||||||
| 5 or more years | 11 (26.8%) | 23 (56.1%) | 7 (17.1%) | 15 (36.6%) | 21 (51.2%) | 5 (12.2%) | 10 (24.4%) | 26 (63.4%) | 5 (12.2%) | |||
| Poor/fair | 17 (25.0%) | 36 (52.9%) | 15 (22.1%) | 0.8634 | 19 (27.9%) | 41 (60.3%) | 8 (11.8%) | 0.3682 | 16 (23.5%) | 42 (61.8%) | 10 (14.7%) | 0.9442 |
| Good | 21 (24.7%) | 52 (61.2%) | 12 (14.1%) | 19 (22.4%) | 60 (70.6%) | 6 (7.1%) | 18 (21.2%) | 56 (65.9%) | 11 (12.9%) | |||
| Very good/excellent | 15 (20.3%) | 45 (60.8%) | 14 (18.9%) | 12 (16.2%) | 56 (75.7%) | 6 (8.1%) | 13 (17.6%) | 55 (74.3%) | 6 (8.1%) | |||
| Poor/fair | 19 (23.5%) | 43 (53.1%) | 19 (23.5%) | 0.6423 | 20 (24.7%) | 55 (67.9%) | 6 (7.4%) | 0.2311 | 20 (24.7%) | 51 (63.0%) | 10 (12.3%) | 0.4765 |
| Good | 25 (27.2%) | 52 (56.5%) | 15 (16.3%) | 21 (22.8%) | 63 (68.5%) | 8 (8.7%) | 20 (21.7%) | 59 (64.1%) | 13 (14.1%) | |||
| Very good/excellent | 9 (16.7%) | 38 (70.4%) | 7 (13.0%) | 9 (16.7%) | 39 (72.2%) | 6 (11.1%) | 7 (13.0%) | 43 (79.6%) | 4 (7.4%) | |||
aAnswers other than male or female were excluded
bFor statistical testing, categories were collapsed into 3 categories: Hispanic; Non-Hispanic White and Non-Hispanic Black/Asian; American Indian, Native Hawaiian or Pacific Islander/Other/Multiracial
cStatistical tests conducted were chi-square tests
dBetter represents participants who responded “Somewhat Better” or “Much Better.” Same represents participants who responded “About the same.” Worse represents participants who responded “Somewhat worse” or “Much worse”
Figure 1.Clusters of responses for quality of communication and comparing telehealth to in-person. *PCC, patient-centered communication scores. **Respondents with poorer mental and physical health had lower PCC ratings. Non-Hispanic Whites and older patients had higher PCC ratings