| Literature DB >> 33008137 |
Wenjun Zhu1,2, XiaoXiao Ling3, Wenru Shang1,2, Jiayan Huang1,2.
Abstract
Non-invasive prenatal testing (NIPT) for aneuploidy screening has been widely applied across China, and costs can affect Chinese pregnant women's choices. This study aims to assess the knowledge, attitude, practices (KAP) and satisfaction regarding NIPT among pregnant women in China, and to further explore the relationship between payment schemes and women's acceptability of and satisfaction with NIPT. A questionnaire survey was performed in Shenzhen and Zhengzhou, China, which separately applied "insurance coverage" and "out-of-pocket" payment scheme for NIPT. The major differences between the two cities were compared using chi-square test, Wilcoxon rank sum test, and propensity score matched analysis. Logistic regression models were applied to explore predictors for women's acceptability and satisfaction. Compared with Zhengzhou participants, a higher proportion of Shenzhen women had heard of NIPT (87.30% vs. 64.03%), were willing to receive NIPT (91.80% vs. 80.43%) and had taken NIPT (83.12% vs. 54.54%), while their satisfaction level was lower. Having NIPT-related knowledge was associated with higher acceptability, and receiving genetic counseling helped to improve satisfaction. Besides, women with higher annual household incomes were more likely to take and be satisfied with NIPT. In conclusion, more attention should be paid to health education, subsidies for NIPT, and genetic counseling.Entities:
Keywords: acceptability; attitude; knowledge; non-invasive prenatal testing; payment scheme; practice; pregnant women; satisfaction
Mesh:
Year: 2020 PMID: 33008137 PMCID: PMC7579635 DOI: 10.3390/ijerph17197187
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
The loading of each item based on exploratory factor analysis of the satisfaction scale.
| Items | Factor 1 |
|---|---|
| Charge | 0.658 |
| Received information | 0.875 |
| Service of doctor | 0.917 |
| Service of nurse | 0.902 |
| Hospital environment | 0.915 |
| Waiting time | 0.889 |
| Results explanation | 0.904 |
| % of variance | 75.697 |
The detailed socio-demographic characteristics of participants (n (%)) (USD 1 = CNY 6.8985).
| Participant Characteristics | Shenzhen | Zhengzhou | χ2/Z |
| Participant Characteristics | Shenzhen | Zhengzhou | χ2/Z |
|
|---|---|---|---|---|---|---|---|---|---|
| Age * | Occupation | ||||||||
| ≤24 | 28 (4.50) | 153 (12.74) | −6.26 | <0.001 | A | 52 (8.36) | 47 (3.91) | 181.17 | <0.001 |
| 25–34 | 429 (68.97) | 839 (69.86) | B | 99 (15.92) | 275 (22.90) | ||||
| ≥35 | 162 (26.05) | 209 (17.40) | C | 81 (13.02) | 108 (8.99) | ||||
| Missing | 3 (0.48) | 0 (0.00) | D | 52 (8.36) | 120 (9.99) | ||||
| Educational level * | E | 1 (0.16) | 25 (2.08) | ||||||
| Middle school or below | 32 (5.14) | 260 (21.65) | −13.37 | <0.001 | F | 21 (3.38) | 41 (3.41) | ||
| High school | 88 (14.15) | 297 (24.73) | Unemployed | 78 (12.54) | 390 (32.47) | ||||
| Three-year college | 189 (30.39) | 362 (30.14) | Others | 222 (35.69) | 190 (15.82) | ||||
| Bachelor or above | 300 (48.23) | 269 (22.40) | Missing | 16 (2.57) | 5 (0.42) | ||||
| Missing | 13 (2.09) | 13 (1.08) | Medical insurance (Multiple answers) ** | ||||||
| Annual household income (thousand USD) * | UE | 378 (60.77) | 345 (28.73) | 195.83 | <0.001 | ||||
| <10 | 80 (12.86) | 367 (30.56) | −16.89 | <0.001 | URR | 199 (31.99) | 805 (67.03) | 201.15 | <0.001 |
| 10–14 | 69 (11.09) | 410 (34.14) | CHI | 32 (5.14) | 69 (5.75) | 0.16 | 0.686 | ||
| 14–28 | 209 (33.60) | 309 (25.73) | Missing | 41 (6.59) | 49 (4.08) | ||||
| ≥28 | 243 (39.07) | 101 (8.41) | Parity | ||||||
| Missing | 21 (3.38) | 14 (1.17) | Nulliparous | 275 (44.21) | 526 (43.80) | 2.18 | 0.140 | ||
| Number of family members * | Multiparous | 301(48.39) | 669 (55.70) | ||||||
| ≤3 | 317 (50.96) | 523 (43.55) | −3.32 | 0.001 | Missing | 46 (7.40) | 6 (0.50) | ||
| 4–6 | 274 (44.05) | 667 (55.54) | Residence | ||||||
| ≥7 | 12 (1.93) | 11 (0.92) | Urban | 527 (84.73) | 728 (60.62) | 133.03 | <0.001 | ||
| Missing | 19 (3.05) | 0 (0.00) | Rural | 65 (10.45) | 432 (35.97) | ||||
| Missing | 30 (4.82) | 41 (3.41) | |||||||
A—Managers; B—Professional and technicians; C—Clerical support workers; D—Service and sales workers; E—Skilled agricultural, forestry, and fishery workers; F—Plant and machine operators, and assemblers; UE—Basic Medical Insurance for Urban Employees; URR—Basic Medical Insurance for Urban and Rural Residents; CHI—Commercial Health Insurance. * Wilcoxon rank sum test used. ** Each answer was treated as a dichotomous variable and the chi-square test was conducted separately.
The pregnant women’s knowledge of non-invasive prenatal testing (n (%)).
| Questions | Shenzhen | Zhengzhou | χ2/Z |
|
|---|---|---|---|---|
| Main approaches to obtain NIPT-related information (Multiple answers) ** | ||||
| Lectures | 42 (7.73) | 60 (7.80) | 0.00 | 0.964 |
| Doctors | 393 (72.38) | 511 (66.45) | 5.22 | 0.022 |
| Relatives, friends and colleagues | 130 (23.94) | 258 (33.55) | 14.11 | <0.001 |
| Websites | 71 (13.08) | 100 (13.00) | 0.00 | 0.970 |
| Newspaper or TV | 27 (4.97) | 21 (2.73) | 4.54 | 0.033 |
| Others | 14 (2.58) | 1 (0.13) | 16.88 | <0.001 |
| Missing | 0 (0.00) | 0 (0.00) | ||
| Do you know where you can receive NIPT? | ||||
| Yes | 366 (67.40) | 470 (61.12) | 267.36 | <0.001 |
| No | 176 (32.41) | 294 (38.23) | ||
| Missing | 1 (0.18) | 5 (0.65) | ||
| Are you aware of the difference between NIPT and MSS? * | ||||
| Completely aware | 35 (6.45) | 19 (2.47) | −5.64 | <0.001 |
| Very aware | 121 (22.28) | 91 (11.83) | ||
| Somewhat aware | 228 (41.99) | 363 (47.20) | ||
| Not so aware | 147 (27.07) | 263 (34.20) | ||
| Not at all aware | 13 (2.39) | 32 (4.16) | ||
| Missing | 0 (0.00) | 1 (0.13) | ||
NIPT—non-invasive prenatal testing; MSS—maternal serum screening. * Wilcoxon rank sum test used. ** Each answer was treated as a dichotomous variable and the chi-square test was conducted separately.
Logistic regression analysis of factors associated with acceptability towards non-invasive prenatal testing (USD 1 = CNY 6.8985).
| Variables | B | OR (95% CI) |
| |
|---|---|---|---|---|
| Research Location | Zhengzhou | 1 | <0.001 | |
| Shenzhen | 1.35 | 3.85 (2.71, 5.46) | ||
| UE | Not participant | 1 | 0.004 | |
| Participant | 0.44 | 1.55 (1.15, 2.09) | ||
| Annual household income (thousand USD) | <10 | 1 | 0.009 | |
| 10–14 | 0.09 | 1.09 (0.74, 1.60) | ||
| 14–28 | 0.51 | 1.66 (1.11, 2.48) | ||
| ≥28 | 0.66 | 1.93 (1.19, 3.12) | ||
| Awareness | Not at all aware | 1 | <0.001 | |
| Not so aware | 0.09 | 1.09 (0.54, 2.20) | ||
| Somewhat aware | 0.69 | 1.99 (0.99, 4.00) | ||
| Very aware | 1.13 | 3.09 (1.37, 6.96) | ||
| Completely aware | 0.63 | 1.88 (0.69, 5.12) | ||
| Constant | −0.63 |
UE—Basic Medical Insurance for Urban Employees; B—coefficient; OR—odds ratio; CI—confidence interval; Awareness—awareness of the difference between non-invasive prenatal testing and maternal serum screening. Note: Forward Likelihood Ratio method was used to select variables and only variables with p < 0.05 were included in the final regression.
The practices of non-invasive prenatal testing among pregnant women (n (%)).
| Questions | Shenzhen ( | Zhengzhou ( | χ2 |
|
|---|---|---|---|---|
| Reasons for accepting NIPT (Multiple answers) ** | ||||
| No risk to the fetus | 296 (57.25) | 482 (73.59) | 35.51 | <0.001 |
| High accuracy | 284 (54.93) | 312 (47.63) | 5.86 | 0.015 |
| Suitable for longer gestation | 116 (22.44) | 74 (11.30) | 26.12 | <0.001 |
| Insurance covered | 16 (3.09) | 67 (10.23) | 22.49 | <0.001 |
| Shorter waiting time | 27 (5.22) | 75 (11.45) | 14.24 | <0.001 |
| Recommendation from doctors | 206 (39.85) | 487 (74.35) | 143.99 | <0.001 |
| Others | 7 (1.35) | 30 (4.58) | 9.90 | 0.002 |
| Missing | 0 (0.00) | 1 (0.15) | ||
| The perceived problems of NIPT practice (Multiple answers) ** | ||||
| Too expensive | 79 (15.28) | 346 (52.82) | 174.23 | <0.001 |
| Inadequate publicity | 281 (54.35) | 367 (56.03) | 0.16 | 0.691 |
| Distrust it | 4 (0.77) | 4 (0.61) | 0.12 | 0.726 |
| Only detect few aneuploid disorders | 186 (35.98) | 263 (40.15) | 1.79 | 0.181 |
| Others | 72 (13.93) | 11 (1.68) | 66.71 | <0.001 |
| Missing | 8 (1.55) | 4 (0.61) | ||
| Did you consult the doctor before accepting NIPT? | ||||
| Yes | 454 (87.81) | 639 (97.56) | 196.25 | <0.001 |
| No | 57 (11.03) | 11 (1.68) | ||
| Missing | 6 (1.16) | 5 (0.76) | ||
| Did you consult the doctor for NIPT results explanation? | ||||
| Yes | 481 (93.04) | 621 (94.81) | 289.78 | <0.001 |
| No | 28 (5.42) | 19 (2.90) | ||
| Missing | 8 (1.55) | 15 (2.29) | ||
NIPT—non-invasive prenatal testing. ** Each answer was treated as a dichotomous variable and the chi-square test was conducted separately.
The satisfaction towards non-invasive prenatal testing among matched pairs of pregnant women (n (%)).
| Charge | Received Information | Service of Doctor | Service of Nurse | Hospital Environment | Waiting Time | Results Explanation | |
|---|---|---|---|---|---|---|---|
| Shenzhen | |||||||
| Completely dissatisfied | 2 (0.68) | 1 (0.34) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) |
| Very dissatisfied | 14 (4.79) | 6 (2.05) | 2 (0.68) | 2 (0.68) | 2 (0.68) | 0 (0.00) | 2 (0.68) |
| Somewhat satisfied | 129 (44.18) | 106 (36.30) | 94 (32.19) | 88 (30.14) | 96 (32.88) | 99 (33.90) | 93 (31.85) |
| Very satisfied | 80 (27.40) | 103 (35.27) | 95 (32.53) | 99 (33.90) | 98 (33.56) | 102 (34.93) | 103 (35.27) |
| Completely satisfied | 67 (22.95) | 76 (26.03) | 101 (34.59) | 103 (35.27) | 96 (32.88) | 91 (31.16) | 94 (32.19) |
| Mean rank | 3.67 | 3.85 | 4.01 | 4.04 | 3.99 | 3.97 | 3.99 |
| Zhengzhou | |||||||
| Completely dissatisfied | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) |
| Very dissatisfied | 30 (10.27) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 0 (0.00) |
| Somewhat satisfied | 90 (30.82) | 19 (6.51) | 15 (5.14) | 9 (3.08) | 35 (11.99) | 31 (10.62) | 19 (6.51) |
| Very satisfied | 108 (36.99) | 174 (59.59) | 175 (59.93) | 169 (57.88) | 159 (54.45) | 165 (56.51) | 169 (57.88) |
| Completely satisfied | 64 (21.92) | 99 (33.90) | 102 (34.93) | 114 (39.04) | 98 (33.56) | 96 (32.88) | 104 (35.62) |
| Mean rank | 3.71 | 4.28 | 4.3 | 4.36 | 4.22 | 4.22 | 4.29 |
|
| 0.60 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 |
Logistic regression analysis of factors associated with the overall satisfaction level towards non-invasive prenatal testing (USD 1 = CNY 6.8985).
| Variables | B | OR (95% CI) |
| |
|---|---|---|---|---|
| Research Location | Zhengzhou | 1 | 0.013 | |
| Shenzhen | −2.64 | 0.07 (0.01, 0.58) | ||
| Parity | Nulliparous | 1 | 0.010 | |
| Multiparous | 1.75 | 5.78 (1.52, 22.02) | ||
| Annual household income (thousand USD) | <10 | 1 | 0.030 | |
| 10–14 | 2.17 | 8.75 (0.89, 86.06) | ||
| 14–28 | 2.05 | 7.77 (1.62, 37.18) | ||
| ≥28 | 1.77 | 5.87 (1.37, 25.21) | ||
| Test results explanation received | No | 1 | 0.001 | |
| Yes | 2.50 | 12.21 (2.94, 50.73) | ||
| Constant | 1.68 |
B—coefficient; OR—odds ratio; CI—confidence interval. Note: Forward Likelihood Ratio method was used to select variables and only variables with p < 0.05 were included in the final regression.