| Literature DB >> 33975552 |
Jasmine M Hitt1, Angela S Martin1, Jordan E Dietrich1, Natasha Ahmed1, Gene T Lee2.
Abstract
BACKGROUND: Women's attitudes towards obstetric forceps likely contribute to declining use and opportunities for residency training, but formal documentation of women's attitudes towards obstetric forceps is currently limited. A clearer understanding should help guide our attempts to preserve its use in modern obstetrics and to improve residency training. Our objective is to document women's attitudes towards obstetric forceps and the influence basic demographic variables have on those attitudes.Entities:
Keywords: Attitudes; Obstetric forceps; Operative vaginal delivery; Pregnancy
Mesh:
Year: 2021 PMID: 33975552 PMCID: PMC8111760 DOI: 10.1186/s12884-021-03854-x
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Demographics
| Demographics | Subgroup | Women |
|---|---|---|
| Age | < 20 | 13 (2.6%) |
| 20–29 | 242 (48.5%) | |
| 30–39 | 233 (46.7%) | |
| > 40 | 11 (2.2%) | |
| Ethnicity | White | 315 (63.1%) |
| Hispanic | 54 (10.8%) | |
| African American | 95 (19%) | |
| Other | 30 (6%) | |
| Missing | 5 (1%) | |
| Education | No High School | 21 (4.2%) |
| High School | 163 (32.7%) | |
| College | 199 (39.9%) | |
| Masters | 75 (15%) | |
| Doctors | 27 (5.4%) | |
| Missing | 14 (2.8%) | |
| Insurance | Self | 51 (10.2%) |
| Private | 285 (57.1%) | |
| Government | 141 (28.3%) | |
| Missing | 22 (4.4%) |
Subgroup Results by Ethnicity, Age, Education, and Insurance
| Question | Overall | Subgroup A | Subgroup B | Subgroup C | Subgroup D |
|---|---|---|---|---|---|
| Ethnicity | |||||
| Q1 | 40% (n = 444) | 49% ( | 35% (n = 54) | 25% ( | 17% ( |
| Q2 | 2.48 ± 0.87 ( | 2.6 ± 0.84 ( | 2.26 ± 0.91 ( | 2.31 ± 0.90 ( | 2.28 ± 0.94 (n = 25) |
| Q3 | 2.65 ± 0.90 ( | 2.8 ± 0.84 ( | 2.53 ± 0.95 ( | 2.36 ± 0.94 ( | 2.76 ± 1.01 ( |
| Q4 | 50% ( | 56% ( | 42% ( | 36% ( | 42% ( |
| Q5 | 55% (n = 449) | 60% ( | 37% ( | 53% ( | 48% (n = 23) |
| Age | |||||
| Q1 | 40% (n = 444) | 23% (n = 13) | 41% ( | 41% ( | 43% ( |
| Q2 | 2.48 ± 0.87 (n = 468) | 2.15 ± 1.34 (n = 13) | 2.53 ± 0.87 ( | 2.45 ± 0.85 (n = 214) | 2.5 ± 0.53 (n = 10) |
| Q3 | 2.65 ± 0.90 ( | 2.00 ± 1.29 ( | 2.65 ± 0.91 ( | 2.71 ± 0.85 ( | 2.4 ± 0.70 ( |
| Q4 | 50% ( | 33% ( | 51% ( | 50% ( | 50% ( |
| Q5 | 55% (n = 449) | 25% (n = 12) | 56% ( | 57% ( | 29% (n = 7) |
| Education | |||||
| Q1 | 40% (n = 444) | 29% (n = 21) | 36% ( | 44% ( | 47% (n = 86) |
| Q2 | 2.48 ± 0.87 (n = 468) | 2.29 ± 1.19 (n = 21) | 2.33 ± 0.83 (n = 152) | 2.59 ± 0.82 (n = 190) | 2.57 ± 0.93 ( |
| Q3 | 2.65 ± 0.90 (n = 466) | 2.32 ± 1.16 ( | 2.53 ± 0.92 ( | 2.73 ± 0.81 ( | 2.83 ± 0.91 (n = 94) |
| Q4 | 50% (n = 430) | 33% ( | 41% ( | 53% ( | 62% ( |
| Q5 | 55% (n = 449) | 21% (n = 19) c, d | 51% ( | 60% ( | 61% ( |
| Insurance | |||||
| Q1 | 40% (n = 444) | 42% ( | 31% ( | 58% (n = 43) b | N/A |
| Q2 | 2.48 ± 0.87 (n = 468) | 2.6 ± 0.87 ( | 2.22 ± 0.82 ( | 2.6 ± 0.89 (n = 48) b | N/A |
| Q3 | 2.65 ± 0.90 (n = 466) | 2.76 ± 0.87 ( | 2.40 ± 0.93 ( | 2.81 ± 0.89 ( | N/A |
| Q4 | 50% ( | 57% ( | 35% ( | 60% (n = 43) b | N/A |
| Q5 | 55% (n = 449) | 58% ( | 52% ( | 59% (n = 44) | N/A |
Q1, Q4, and Q5 are yes/no questions with 0 = no and 1 = yes. Q2 and Q3 are a 5-point Likert Scale question with 1 = most unfavorable and 5 = most favorable. Subgroup analysis was completed using a Kruskall-Wallis test
a pairwise significance vs Subgroup A with Mann Whitney Test and Bonferroni correction
b pairwise significance vs Subgroup B with Mann Whitney Test and Bonferroni correction
c pairwise significance vs Subgroup C with Mann Whitney Test and Bonferroni correction
d pairwise significance vs Subgroup D with Mann Whitney Test and Bonferroni correction
Adjusted ORs and Differences with 95% Confidence Intervals by Ethnicity, Age, Education, and Insurance
| Question | Subgroup A | Subgroup B | Subgroup C | Subgroup D |
|---|---|---|---|---|
| Ethnicity | ||||
| Q1 ( | OR = 1 | 0.64 (0.3, 1.3) | 0.35 (0.2, 0.7) a | 0.16 (0.05, 0.6) a |
| Q2 ( | Adj diff = 0 | −0.23 (− 0.5, 0.04) | − 0.14 (− 0.4, 0.1) | −0.24 (− 0.6, 0.1) |
| Q3 ( | Adj diff = 0 | − 0.07 (− 0.4, 0.2) | −0.2 (− 0.4, 0.04) | 0.15 (− 0.2, 0.5) |
| Q4 ( | OR = 1 | 0.72 (0.4, 1.4) | 0.63 (0.3, 1.2) | 0.57 (0.2, 1.4) |
| Q5 ( | OR = 1 | 0.51 (0.3, 1.01) | 1.2 (0.7, 2.2) | 0.86 (0.3, 2.2) |
| Age | ||||
| Q1 (n = 416) | OR = 1 | 0.69 (0.2, 2.9) | 0.87 (0.6, 1.4) | 0.9 (0.1, 5.5) |
| Q2 (n = 438) | Adj diff = 0 | −0.14 (−0.6, 0.4) | −0.17 (− 0.3, 0.1) | 0.2 (− 0.4, 0.8) |
| Q3 (n = 436) | Adj diff = 0 | −0.44 (− 0.9, 0.1) | −0.03 (− 0.2, 0.1) | 0.01 (− 0.6, 0.6) |
| Q4 (n = 403) | OR = 1 | 0.83 (0.2, 3.1) | 0.62 (0.4, 0.9) a | 0.75 (0.1, 5) |
| Q5 (n = 421) | OR = 1 | 0.26 (0.06, 1.03) | 0.82 (0.5, 1.3) | 0.27 (0.05, 1.6) |
| Education | ||||
| Q1 (n = 416) | OR = 1 | 0.87 (0.3, 2.8) | 0.85 (0.5, 1.5) | 1.2 (0.7, 2.1) |
| Q2 (n = 438) | Adj diff = 0 | −0.01 (−0.4, 0.4) | −0.13 (− 0.3, 0.1) | −0.05 (− 0.3, 0.2) |
| Q3 (n = 436) | Adj diff = 0 | −0.23 (− 0.7, 0.2) | −0.04 (− 0.3, 0.2) | 0.06 (− 0.2, 0.3) |
| Q4 (n = 403) | OR = 1 | 0.7 (0.2, 2.2) | 0.75 (0.4, 1.3) | 1.49 (0.9, 2.6) |
| Q5 (n = 421) | OR = 1 | 0.2 (0.1, 0.7) a | 0.66 (0.4, 1.2) | 1.13 (0.7, 1.9) |
| Insurance | ||||
| Q1 (n = 416) | OR = 1 | 1.05 (0.6, 2) | 2.7 (1.3, 5.6) a | N/A |
| Q2 (n = 438) | Adj diff = 0 | −0.3 (−0.5, −0.1) a | 0.07 (−0.2, 0.3) | N/A |
| Q3 (n = 436) | Adj diff = 0 | −0.21 (− 0.5, 0.04) | 0.12 (− 0.2, 0.4) | N/A |
| Q4 (n = 403) | OR = 1 | 0.6 (0.3, 1.1) | 1.55 (0.8, 3.2) | N/A |
| Q5 (n = 421) | OR = 1 | 1.28 (0.7, 2.3) | 1.34 (0.7, 2.7) | N/A |
a significant vs Subgroup A using a General Linear Model regression