| Literature DB >> 33987791 |
Xuan Zhu1, Kathy L MacLaughlin2, Chun Fan3, Debra J Jacobson3, Gregory D Jenkins3, Robert M Jacobson4,5, Lila J Finney Rutten4,6.
Abstract
Entities:
Mesh:
Year: 2021 PMID: 33987791 PMCID: PMC8118371 DOI: 10.1007/s11606-021-06854-x
Source DB: PubMed Journal: J Gen Intern Med ISSN: 0884-8734 Impact factor: 6.473
Awareness of HPV Testing Option and Patient-Reported Cervical Cancer Screening History by Sociodemographic Factors
| Total | Before today, have you ever heard of using an HPV test for cervical cancer screening a | Have you ever had an HPV test to screen for cervical cancer b | Have you ever had a Pap smear or Pap test to screen for cervical cancer | ||||
|---|---|---|---|---|---|---|---|
| N (%) | N (%) | N (%) | |||||
| Total | 155 | 100 (64.5) | 52 (34.7) | 137 (89.5) | |||
| Age in years e | .041 | .002 | .044 | ||||
| 21–29 | 24 (16.8) | 9 (37.5) | 5 (20.8) | 17 (70.8) | |||
| 30–39 | 36 (25.2) | 26 (72.2) | 18 (51.4) | 34 (94.4) | |||
| 40–49 | 35 (24.5) | 24 (68.6) | 10 (30.3) | 32 (91.4) | |||
| 50–59 | 32 (22.4) | 18 (56.2) | 4 (12.9) | 29 (90.6) | |||
| 60–65 | 16 (11.2) | 12 (75.0) | 9 (56.2) | 15 (100) | |||
| Race/ethnicity f | .125 | .556 | .007 | ||||
| Non-Hispanic white | 121 (80.7) | 81 (66.9) | 42 (35.6) | 112 (94.1) | |||
| Other race/ethnicity | 29 (19.3) | 15 (51.7) | 8 (29.6) | 22 (75.9) | |||
| Education g | .014 | .015 | .933 | ||||
| High school or lower | 23 (14.9) | 9 (39.1) | 3 (13.0) | 20 (87.0) | |||
| Some college | 52 (33.8) | 32 (61.5) | 14 (28.0) | 46 (88.5) | |||
| College graduate | 43 (27.9) | 31 (72.1) | 18 (42.9) | 38 (90.5) | |||
| Post graduate | 36 (23.4) | 28 (77.8) | 17 (50.0) | 32 (91.4) | |||
| Marital status h | .231 | .879 | .052 | ||||
| Married | 89 (57.8) | 62 (69.7) | 30 (35.3) | 82 (94.3) | |||
| Single | 44 (28.6) | 26 (59.1) | 16 (36.4) | 37 (84.1) | |||
| Separated/widowed/other | 21 (13.6) | 11 (52.4) | 6 (30.0) | 17 (81.0) | |||
| Household income i | .102 | .099 | .367 | ||||
| <$30,000 | 22 (16.9) | 8 (36.4) | 2 (9.1) | 18 (81.8) | |||
| $30,000–$60,000 | 25 (19.2) | 17 (68.0) | 10 (41.7) | 22 (88.0) | |||
| $60,000–$90,000 | 31 (23.8) | 21 (67.7) | 13 (41.9) | 26 (86.7) | |||
| $90,000–$120,000 | 22 (16.9) | 14 (63.6) | 7 (31.8) | 21 (95.5) | |||
| ≥$120,000 | 30 (23.1) | 21 (70.0) | 10 (35.7) | 29 (96.7) | |||
| Housing status j | .257 | .990 | .015 | ||||
| Own | 112 (72.7) | 75 (67.0) | 37 (34.3) | 103 (93.6) | |||
| Rent | 42 (27.3) | 24 (57.1) | 14 (34.1) | 33 (78.6) | |||
| Metropolitan area | .068 | .389 | .284 | ||||
| Greater Minnesota | 60 (38.7) | 44 (73.3) | 18 (30.5) | 56 (93.3) | |||
| Twin Cities area | 95 (61.3) | 56 (58.9) | 34 (37.4) | 81 (87.1) | |||
p-values obtained from chi-square test or Fisher’s exact test
aAll participants were given a brief description of the HPV test before answering this question: “The Human Papillomavirus or HPV test is another method used for cervical cancer screening.”
bParticipants who answered “No” to the question “Before today, have you ever heard of using an HPV test for cervical cancer screening” did not receive this question and were coded as “No” for this question
cMissing response=5
dMissing response=1
eMissing response=12
fMissing response=5
gMissing response=1
hMissing response=1
iMissing response=25
jMissing response=1
Acceptability of Self-sampling for HPV Testing by Sociodemographic Factors
| Compared to having a Pap test done by your health care provider, collecting your own vaginal sample at home would be… a | How likely would you be to follow up with your health care provider for further testing if you received an abnormal result from your HPV | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| More convenient | Less embarrassing | Easier | Less painful | |||||||
| N (%) | N (%) | N (%) | N (%) | N (%) | ||||||
| Total | 119 (77.8) | 105 (68.6) | 114 (74.5) | 84 (62.7) | 146 (94.8) | |||||
| Age in years h | .423 | .791 | .675 | .614 | .309 | |||||
| 21–29 | 21 (91.3) | 17 (77.3) | 20 (87.0) | 15 (68.2) | 24 (100) | |||||
| 30–39 | 28 (77.8) | 23 (63.9) | 26 (72.2) | 17 (56.7) | 32 (88.9) | |||||
| 40–49 | 24 (70.6) | 26 (74.3) | 27 (79.4) | 19 (63.3) | 34 (97.1) | |||||
| 50–59 | 26 (81.2) | 24 (75.0) | 23 (71.9) | 17 (60.7) | 31 (96.9) | |||||
| 60–65 | 12 (75.0) | 11 (68.8) | 12 (75.0) | 12 (80.0) | 16 (100) | |||||
| Race/ethnicity i | .271 | .166 | .692 | .318 | .621 | |||||
| Non-Hispanic white | 97 (80.8) | 88 (72.7) | 90 (75.0) | 63 (61.2) | 116 (95.9) | |||||
| Other race/ethnicity | 20 (71.4) | 16 (59.3) | 22 (78.6) | 20 (71.4) | 27 (93.1) | |||||
| Education j | .530 | .060 | .081 | <.001 | .904 | |||||
| High school or lower | 20 (87.0) | 19 (82.6) | 20 (87.0) | 17 (81.0) | 21 (95.5) | |||||
| Some college | 40 (76.9) | 39 (76.5) | 43 (82.7) | 37 (78.7) | 49 (94.2) | |||||
| College graduate | 30 (71.4) | 23 (54.8) | 27 (64.3) | 13 (36.1) | 42 (97.7) | |||||
| Post graduate | 28 (80.0) | 24 (66.7) | 24 (68.6) | 17 (58.6) | 34 (94.4) | |||||
| Marital status k | .726 | .206 | .387 | .762 | .327 | |||||
| Married | 67 (76.1) | 59 (66.3) | 63 (71.6) | 49 (62.0) | 86 (96.6) | |||||
| Single | 34 (79.1) | 28 (66.7) | 33 (76.7) | 23 (60.5) | 41 (95.3) | |||||
| Separated/widowed/other | 18 (85.7) | 18 (85.7) | 18 (85.7) | 12 (70.6) | 19 (90.5) | |||||
| Household Income l | .775 | .089 | .090 | .149 | .082 | |||||
| <$30,000 | 17 (77.3) | 15 (68.2) | 17 (77.3) | 16 (72.7) | 19 (86.4) | |||||
| $30,000–$60,000 | 18 (72.0) | 18 (75.0) | 20 (80.0) | 18 (78.3) | 25 (100) | |||||
| $60,000–$90,000 | 25 (83.3) | 23 (76.7) | 22 (75.9) | 17 (70.8) | 28 (90.3) | |||||
| $90,000–$120,000 | 19 (86.4) | 20 (90.9) | 21 (95.5) | 11 (55.0) | 21 (95.5) | |||||
| ≥$120,000 | 23 (79.3) | 17 (56.7) | 19 (63.3) | 12 (48.0) | 30 (100) | |||||
| Housing status m | .170 | .516 | .752 | .773 | .685 | |||||
| Own | 90 (81.1) | 79 (70.5) | 84 (75.7) | 58 (62.4) | 106 (95.5) | |||||
| Rent | 29 (70.7) | 26 (65.0) | 30 (73.2) | 26 (65.0) | 39 (92.9) | |||||
| Metropolitan area | .041 | 172 | .002 | .201 | .263 | |||||
| Greater Minnesota | 51 (86.4) | 45 (75.0) | 52 (88.1) | 38 (69.1) | 55 (91.7) | |||||
| Twin Cities area | 68 (72.3) | 60 (64.5) | 62 (66.0) | 46 (58.2) | 91 (96.8) | |||||
p-values obtained from chi-square test or Fisher’s exact test
aRespondents were given a brief description of HPV test self-sampling before answering these questions: “The HPV test to screen for cervical cancer can be done by women in their homes through self-sampling where they are provided a kit with a swab to collect their own vaginal sample.” Questions were measured on a 4-point Likert style scale: strongly agree, somewhat agree, somewhat disagree, strongly disagree. Responses were grouped into two categories: somewhat to strongly agree and somewhat to strongly disagree
bMissing response=2
cMissing response=2
dMissing response=2
e Missing response=21
fQuestion was measured on a 4-point Likert style scale: very likely, somewhat likely, somewhat unlikely, very unlikely. Responses were grouped into two categories: somewhat to very likely and somewhat to very unlikely
gMissing response=1
hMissing response=12
i Missing response=5
jMissing response=1
k Missing response=1
lMissing response=25
m Missing response=1