| Literature DB >> 35737390 |
Tianyue Mi1,2, Peiyin Hung3, Xiaoming Li1, Alecia McGregor4, Jingui He2, Jie Zhou2,5.
Abstract
Importance: Racial and ethnic disparities in postpartum care access have been well identified in the United States. Such disparities could be exacerbated by the COVID-19 pandemic because of amplified economic distress and compromised social capital among pregnant women who belong to racial or ethnic minority groups. Objective: To examine whether the COVID-19 pandemic is associated with an increase in the existing racial and ethnic disparity in postpartum care access. Design, Setting, and Participants: This was a retrospective cohort study using electronic health records data. Multinomial logistic regressions in an interrupted time series approach were used to assess monthly changes in postpartum care access across Asian, Hispanic, non-Hispanic Black (hereafter, Black), non-Hispanic White (hereafter, White) women, and women of other racial groups, controlling for maternal demographic and clinical characteristics. Eligible participants were women who gave live birth at 8 hospitals in the greater Boston, Massachusetts, area from January 1, 2019, to November 30, 2021, allowing for tracking 90-day postpartum access until March 1, 2022. Exposures: Delivery period: prepandemic (January to December 2019), early pandemic (January to March 2020), and late pandemic (April 2020 to November 2021). Main Outcomes and Measures: Postpartum care within 90 days after childbirth was categorized into 3 groups: attended, canceled, and nonscheduled.Entities:
Mesh:
Year: 2022 PMID: 35737390 PMCID: PMC9226999 DOI: 10.1001/jamanetworkopen.2022.16355
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Maternal Characteristics by Race and Ethnicity Among 45 588 Women Who Delivered Between January 2019 and November 2021 in the Mass General Brigham System
| Characteristic | Race and ethnicity | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Asian | Black | Hispanic | Other | White, No. (%) | |||||
| No. (%) | No. (%) | No. (%) | No. (%) | ||||||
| Childbirths | 4735 (10.4) | NA | 3399 (7.5) | NA | 6950 (15.2) | NA | 1269 (2.8) | NA | 28 526 (62.6) |
| Age | |||||||||
| <18 | 2 (<0.1) | <.001 | 14 (0.4) | <.001 | 87 (1.3) | <.001 | 6 (0.5) | <.001 | 19 (0.1) |
| 18-24 | 102 (2.2) | 402 (11.8) | 1455 (20.9) | 140 (11.0) | 1028 (3.6) | ||||
| 25-34 | 2955 (62.4) | 1927 (56.7) | 3862 (55.6) | 720 (56.7) | 17 264 (60.5) | ||||
| 35-44 | 1652 (34.9) | 1029 (30.3) | 1533 (22.1) | 397 (31.3) | 10 082 (35.3) | ||||
| ≥45 | 24 (0.5) | 27 (0.8) | 13 (0.2) | 6 (0.5) | 133 (0.5) | ||||
| Marital status | |||||||||
| Single | 357 (7.5) | <.001 | 1622 (47.7) | <.001 | 3243 (46.7) | <.001 | 281 (22.1) | <.001 | 3913 (13.7) |
| Married or life partner | 4334 (91.5) | 1677 (49.3) | 3453 (49.7) | 945 (74.5) | 24 190 (84.8) | ||||
| Other | 44 (0.9) | 100 (2.9) | 254 (3.7) | 43 (3.4) | 423 (1.5) | ||||
| PNC attendance | |||||||||
| Delayed PNC | 1325 (28.1) | .25 | 1567 (46.3) | <.001 | 2983 (43.1) | <.001 | 430 (34.0) | <.001 | 7742 (27.2) |
| Timely PNC | 3398 (71.9) | 1817 (53.7) | 3942 (56.9) | 835 (66.0) | 20 676 (72.8) | ||||
| GA at delivery, wk | |||||||||
| <28 | 9 (0.2) | .46 | 30 (0.9) | <.001 | 28 (0.4) | <.001 | 0 | .04 | 55 (0.2) |
| 28-36 | 307 (6.5) | 341 (10.1) | 597 (8.7) | 107 (8.5) | 1991 (7.0) | ||||
| ≥37 | 4387 (93.3) | 2989 (89.0) | 6271 (90.9) | 1154 (91.5) | 26 275 (92.8) | ||||
| Delivery mode | |||||||||
| Natural vaginal | 3157 (66.7) | .03 | 2056 (60.5) | <.001 | 4642 (66.8) | <.001 | 811 (63.9) | .03 | 18 873 (66.2) |
| Cesarean | 1466 (31.0) | 1244 (36.6) | 2115 (30.4) | 432 (34.0) | 8978 (31.5) | ||||
| VBAC | 104 (2.2) | 95 (2.8) | 188 (2.7) | 26 (2.0) | 550 (1.9) | ||||
| Other | 8 (0.2) | 4 (0.1) | 4 (0.1) | 0 | 121 (0.4) | ||||
| Severe maternal morbidity | |||||||||
| Positive | 53 (1.1) | .45 | 88 (2.6) | <.001 | 101 (1.5) | <.001 | 15 (1.2) | .52 | 285 (1.0) |
| Negative | 4682 (98.9) | 3311 (97.4) | 6849 (98.5) | 1254 (98.8) | 28 241 (99.0) | ||||
| Diabetes | |||||||||
| Positive | 811 (17.1) | <.001 | 462 (13.6) | <.001 | 710 (10.2) | <.001 | 138 (10.9) | <.001 | 2142 (7.5) |
| Negative | 3924 (82.9) | 2937 (86.4) | 6240 (89.8) | 1131 (89.1) | 26 384 (92.5) | ||||
| Hypertension | |||||||||
| Positive | 302 (6.4) | <.001 | 525 (15.4) | <.001 | 709 (10.2) | <.001 | 129 (10.2) | .02 | 3551 (12.4) |
| Negative | 4433 (93.6) | 2874 (84.6) | 6241 (89.8) | 1140 (89.8) | 24 975 (87.6) | ||||
| Depression | |||||||||
| Positive | 98 (2.1) | <.001 | 162 (4.8) | <.001 | 381 (5.5) | <.001 | 84 (6.6) | .03 | 2379 (8.3) |
| Negative | 4637 (97.9) | 3237 (95.2) | 6569 (94.5) | 1185 (93.4) | 26 147 (91.7) | ||||
| Smoking | |||||||||
| Positive | 8 (0.2) | <.001 | 40 (1.2) | .55 | 61 (0.9) | .004 | 15 (1.2) | .72 | 371 (1.3) |
| Negative | 4727 (99.8) | 3359 (98.8) | 6889 (99.1) | 1254 (98.8) | 28 155 (98.7) | ||||
| County-level social vulnerability, quartile | |||||||||
| Bottom | 35 (0.7) | <.001 | 40 (1.2) | <.001 | 146 (2.1) | <.001 | 20 (1.6) | .001 | 516 (1.8) |
| Second | 1228 (26.0) | 1820 (53.6) | 4209 (60.6) | 429 (34.0) | 8465 (29.7) | ||||
| Third | 256 (5.4) | 73 (2.2) | 149 (2.1) | 38 (3.0) | 1313 (4.6) | ||||
| Top | 3205 (67.8) | 1461 (43.0) | 2442 (35.2) | 776 (61.4) | 18 183 (63.9) | ||||
| Hospital | |||||||||
| BWH | 1782 (37.6) | <.001 | 2022 (59.5) | <.001 | 2944 (42.4) | <.001 | 493 (38.8) | <.001 | 9766 (34.2) |
| CDH | 93 (2.0) | 37 (1.1) | 217 (3.1) | 53 (4.2) | 1116 (3.9) | ||||
| MGH | 1167 (24.6) | 673 (19.8) | 1830 (26.3) | 343 (27.0) | 5687 (19.9) | ||||
| MVH | 5 (0.1) | 32 (0.9) | 8 (0.1) | 68 (5.4) | 291 (1.0) | ||||
| NCH | 4 (0.1) | 24 (0.7) | 95 (1.4) | 18 (1.4) | 200 (0.7) | ||||
| NWH | 1409 (29.8) | 379 (11.2) | 518 (7.5) | 182 (14.3) | 7561 (26.5) | ||||
| SLM | 169 (3.6) | 195 (5.7) | 1261 (18.1) | 66 (5.2) | 1375 (4.8) | ||||
| WDH | 105 (2.2) | 37 (1.1) | 74 (1.1) | 46 (3.6) | 2518 (8.8) | ||||
Abbreviations: BWH, Brigham and Women’s Hospital; CDH, Cooley Dickinson Hospital; GA, gestational age; MGH, Massachusetts General Hospital; MVH, Martha’s Vineyard Hospital; NA, not applicable; NCH, Nantucket Cottage Hospital; NWH, Newton-Wellesley Hospital; PNC, prenatal care; SLM, Salem Hospital; VBAC, vaginal birth after cesarean; WDH, Wentworth Douglass Hospital.
Other racial groups include American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, and multiple races.
Differences in maternal characteristics across race groups were calculated with χ2 tests, with non-Hispanic White as the reference group.
Severe maternal morbidity was identified with the US Centers for Disease Control and Prevention list of 21 indicators, including acute myocardial infarction, aneurysm, acute kidney failure, adult respiratory distress syndrome, amniotic fluid embolism, cardiac arrest or ventricular fibrillation, conversion of cardiac rhythm, disseminated intravascular coagulation, eclampsia, heart failure or arrest during surgery or procedure, puerperal cerebrovascular disorders, pulmonary edema or acute heart failure, severe anesthesia complications, sepsis, shock, sickle cell disease with crisis, air and thrombotic embolism, blood products transfusion, hysterectomy, temporary tracheostomy, and ventilation.
Social vulnerability was indicated by the social vulnerability index and was categorized into quartiles. Higher quartile indicates greater vulnerability.
Figure 1. Trends in Postpartum Care Attendance, Cancellation, and Nonscheduling by Delivery Month Between January 2019 and November 2021
Number of COVID-19 cases in Massachusetts per month were derived from Centers for Disease Control and Prevention (CDC).[41] Shaded area indicates early pandemic period.
Bivariate Associations Between Maternal Characteristics and Postpartum Care Access Among 45 588 Women Who Delivered Between January 2019 and November 2021 in the Mass General Brigham System
| Characteristic | Postpartum care access | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Prepandemic period (n = 15 677) | Early pandemic period (n = 3987) | Late pandemic period (n = 25 924) | ||||||||||
| No. (row %) | No. (row %) | No. (row %) | ||||||||||
| Attended | Canceled | Nonscheduled | Attended | Canceled | Nonscheduled | Attended | Canceled | Nonscheduled | ||||
| Women | 11 785 (75.2) | 671 (4.3) | 3221 (20.5) | NA | 1664 (41.7) | 717 (18.0) | 1606 (40.3) | NA | 15787 (60.9) | 1214 (4.7) | 8923 (34.4) | NA |
| Race and ethnicity | ||||||||||||
| Asian | 1396 (80.1) | 41 (2.4) | 305 (17.5) | <.001 | 201 (47.0) | 87 (20.3) | 140 (32.7) | .004 | 1752 (68.3) | 64 (2.5) | 749 (29.2) | <.001 |
| Black | 756 (63.2) | 109 (9.1) | 331 (27.7) | 119 (39.3) | 65 (21.5) | 119 (39.3) | 1071 (56.4) | 190 (10.0) | 639 (33.6) | |||
| Hispanic | 1538 (63.1) | 181 (7.4) | 717 (29.4) | 229 (38.1) | 117 (19.5) | 255 (42.4) | 2034 (52.0) | 298 (7.6) | 1581 (40.4) | |||
| White | 7608 (79.2) | 306 (3.2) | 1693 (17.6) | 1057 (42.4) | 413 (16.6) | 1024 (41.1) | 10 333 (62.9) | 612 (3.7) | 5480 (33.4) | |||
| Other | 340 (74.6) | 24 (5.3) | 92 (20.2) | 39 (40.2) | 24 (24.7) | 34 (35.1) | 419 (58.5) | 32 (4.5) | 265 (37.0) | |||
| Age, y | ||||||||||||
| <18 | 18 (35.3) | 9 (17.6) | 24 (47.1) | <.001 | 2 (25.0) | 1 (12.5) | 5 (62.5) | <.001 | 23 (28.8) | 6 (7.5) | 51 (63.8) | <.001 |
| 18-24 | 559 (54.0) | 99 (9.6) | 378 (36.5) | 80 (27.2) | 56 (19.0) | 158 (53.7) | 815 (43.3) | 176 (9.3) | 892 (47.4) | |||
| 25-34 | 7050 (75.6) | 369 (4.0) | 1912 (20.5) | 1019 (43.2) | 388 (16.5) | 951 (40.3) | 9492 (61.5) | 676 (4.4) | 5274 (34.2) | |||
| 35-44 | 4084 (78.9) | 192 (3.7) | 898 (17.4) | 555 (42.3) | 270 (20.6) | 488 (37.2) | 5386 (64.0) | 352 (4.2) | 2674 (31.8) | |||
| ≥45 | 74 (87.1) | 2 (2.4) | 9 (10.6) | 8 (57.1) | 2 (14.3) | 4 (28.6) | 71 (66.4) | 4 (3.7) | 32 (29.9) | |||
| Marital status | ||||||||||||
| Single | 1883 (61.3) | 286 (9.3) | 902 (29.4) | <.001 | 284 (34.5) | 164 (19.9) | 375 (45.6) | <.001 | 2849 (50.5) | 493 (8.7) | 2305 (40.8) | <.001 |
| Married or life partner | 9690 (79.3) | 360 (2.9) | 2167 (17.7) | 1343 (43.9) | 539 (17.6) | 1180 (38.5) | 12 699 (64.7) | 672 (3.4) | 6247 (31.8) | |||
| Other | 212 (54.5) | 25 (6.4) | 152 (39.1) | 37 (36.3) | 14 (13.7) | 51 (50.0) | 239 (36.3) | 49 (7.4) | 371 (56.3) | |||
| PNC attendance | ||||||||||||
| Delayed | 1733 (36.7) | 323 (6.8) | 2670 (56.5) | <.001 | 293 (21.4) | 142 (10.3) | 937 (68.3) | <.001 | 2419 (29.0) | 501 (6.0) | 5416 (65.0) | <.001 |
| Timely | 9992 (91.9) | 345 (3.2) | 535 (4.9) | 1365 (52.5) | 574 (22.1) | 663 (25.5) | 13 336 (76.1) | 711 (4.1) | 3467 (19.8) | |||
| GA at delivery, wk | ||||||||||||
| <28 | 31 (72.1) | 4 (9.3) | 8 (18.6) | .005 | 4 (33.3) | 3 (25.0) | 5 (41.7) | .07 | 49 (73.1) | 8 (11.9) | 10 (14.9) | <.001 |
| 28-36 | 945 (77.5) | 86 (7.1) | 188 (15.4) | 147 (45.2) | 71 (21.8) | 107 (32.9) | 1205 (63.3) | 150 (7.9) | 548 (28.8) | |||
| ≥37 | 10 741 (75.4) | 575 (4.0) | 2933 (20.6) | 1504 (41.6) | 640 (17.7) | 1473 (40.7) | 14 491 (60.9) | 1052 (4.4) | 8264 (34.7) | |||
| Delivery mode | ||||||||||||
| Natural vaginal | 7645 (73.7) | 427 (4.1) | 2300 (22.2) | <.001 | 1010 (39.3) | 467 (18.2) | 1090 (42.5) | <.001 | 10 241 (60.0) | 790 (4.6) | 6027 (35.3) | <.001 |
| Cesarean | 3806 (78.3) | 226 (4.6) | 830 (17.1) | 613 (46.9) | 226 (17.3) | 467 (35.8) | 5205 (62.7) | 397 (4.8) | 2697 (32.5) | |||
| VBAC | 260 (70.8) | 18 (4.9) | 89 (24.3) | 33 (34.4) | 22 (22.9) | 41 (42.7) | 307 (59.4) | 27 (5.2) | 183 (35.4) | |||
| Other | 73 (97.3) | 0 | 2 (2.7) | 8 (53.3) | 2 (13.3) | 5 (33.3) | 33 (70.2) | 0 | 14 (29.8) | |||
| Severe maternal morbidity | ||||||||||||
| Positive | 126 (78.3) | 8 (5.0) | 27 (16.8) | .47 | 22 (52.4) | 8 (19.0) | 12 (28.6) | .27 | 223 (62.8) | 30 (8.5) | 102 (28.7) | <.001 |
| Negative | 11 659 (75.1) | 663 (4.3) | 3194 (20.6) | 1642 (41.6) | 709 (18.0) | 1594 (40.4) | 15 564 (60.9) | 1184 (4.6) | 8821 (34.5) | |||
| Diabetes | ||||||||||||
| Positive | 1004 (77.2) | 76 (5.8) | 220 (16.9) | <.001 | 167 (48.3) | 64 (18.5) | 115 (33.2) | .01 | 1735 (64.8) | 151 (5.6) | 793 (29.6) | <.001 |
| Negative | 10 781 (75.0) | 595 (4.1) | 3001 (20.9) | 1497 (41.1) | 653 (17.9) | 1491 (41.0) | 14 052 (60.5) | 1063 (4.6) | 8130 (35.0) | |||
| Hypertension | ||||||||||||
| Positive | 1261 (78.9) | 77 (4.8) | 260 (16.3) | <.001 | 232 (51.2) | 66 (14.6) | 155 (34.2) | <.001 | 2162 (66.7) | 155 (4.8) | 926 (28.6) | <.001 |
| Negative | 10 524 (74.7) | 594 (4.2) | 2961 (21.0) | 1432 (40.5) | 651 (18.4) | 1451 (41.1) | 13 625 (60.1) | 1059 (4.7) | 7997 (35.3) | |||
| Depression | ||||||||||||
| Positive | 715 (73.8) | 64 (6.6) | 190 (19.6) | .001 | 93 (40.8) | 36 (15.8) | 99 (43.4) | .52 | 1128 (58.0) | 149 (7.7) | 668 (34.3) | <.001 |
| Negative | 11 070 (75.3) | 607 (4.1) | 3031 (20.6) | 1571 (41.8) | 681 (18.1) | 1507 (40.1) | 14 659 (61.1) | 1065 (4.4) | 8255 (34.4) | |||
| Smoking | ||||||||||||
| Positive | 86 (48.9) | 25 (14.2) | 65 (36.9) | <.001 | 17 (28.8) | 7 (11.9) | 35 (59.3) | .01 | 92 (34.5) | 24 (9.0) | 151 (56.6) | <.001 |
| Negative | 11 699 (75.5) | 646 (4.2) | 3156 (20.4) | 1647 (41.9) | 710 (18.1) | 1571 (40.0) | 15 695 (61.2) | 1190 (4.6) | 8772 (34.2) | |||
| Social vulnerability, quartile | ||||||||||||
| Bottom | 205 (78.8) | 28 (10.8) | 27 (10.4) | <.001 | 34 (43.6) | 18 (23.1) | 26 (33.3) | .08 | 267 (61.2) | 44 (10.1) | 125 (28.7) | <.001 |
| Second | 4126 (71.6) | 282 (4.9) | 1351 (23.5) | 558 (40.5) | 258 (18.7) | 562 (40.8) | 5543 (59.4) | 534 (5.7) | 3252 (34.9) | |||
| Third | 565 (80.1) | 33 (4.7) | 107 (15.2) | 62 (39.2) | 40 (25.3) | 56 (35.4) | 671 (67.6) | 73 (7.4) | 249 (25.1) | |||
| Top | 11 752 (75.2) | 666 (4.3) | 3219 (20.6) | 1661 (41.7) | 713 (17.9) | 1606 (40.4) | 15 762 (60.9) | 1210 (4.7) | 8921 (34.5) | |||
| Hospital | ||||||||||||
| BWH | 5032 (83.4) | 359 (6.0) | 639 (10.6) | <.001 | 775 (53.1) | 253 (17.3) | 432 (29.6) | <.001 | 7684 (78.9) | 735 (7.6) | 1315 (13.5) | <.001 |
| CDH | 499 (89.4) | 25 (4.5) | 34 (6.1) | 68 (51.5) | 22 (16.7) | 42 (31.8) | 585 (66.5) | 46 (5.2) | 249 (28.3) | |||
| MGH | 3426 (91.2) | 223 (5.9) | 106 (2.8) | 354 (41.0) | 316 (36.6) | 194 (22.5) | 2814 (53.7) | 270 (5.1) | 2161 (41.2) | |||
| MVH | 1 (0.7) | 0 | 149 (99.3) | 0 | 0 | 36 (100.0) | 0 | 0 | 227 (100.0) | |||
| NCH | 88 (73.9) | 19 (16.0) | 12 (10.1) | 20 (69.0) | 3 (10.3) | 6 (20.7) | 171 (87.7) | 9 (4.6) | 15 (7.7) | |||
| NWH | 2110 (57.3) | 18 (0.5) | 1554 (42.2) | 302 (34.9) | 91 (10.5) | 473 (54.6) | 2993 (53.9) | 80 (1.4) | 2477 (44.6) | |||
| SLM | 590 (50.6) | 26 (2.2) | 549 (47.1) | 85 (28.8) | 32 (10.8) | 178 (60.3) | 696 (38.9) | 73 (4.1) | 1018 (57.0) | |||
| WDH | 38 (17.7) | 0 | 177 (82.3) | 60 (19.9) | 0 | 241 (80.1) | 840 (36.6) | 1 (<0.1) | 1456 (63.4) | |||
Abbreviations: BWH, Brigham and Women’s Hospital; CDH, Cooley Dickinson Hospital; GA, gestational age; MGH, Massachusetts General Hospital; MVH, Martha’s Vineyard Hospital; NA, not applicable; NCH, Nantucket Cottage Hospital; NWH, Newton-Wellesley Hospital; PNC, prenatal care; SLM, Salem Hospital; VBAC, vaginal birth after cesarean; WDH, Wentworth Douglass Hospital.
Differences in maternal characteristics across postpartum care access groups were calculated with χ2 tests. The prepandemic period was January to December 2019; early pandemic, January to March 2020; and late pandemic, April 2020 to November 2021. Social vulnerability was indicated by the social vulnerability index and was categorized into quartiles. Higher quartile indicates greater vulnerability.
Other racial groups include American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, and multiple races.
Average Marginal Effects of Cancelling or Nonscheduling Relative to Attending Postpartum Care Visits in Multinomial Logistic Regression
| Characteristic | Canceled vs attended | Nonscheduled vs attended | ||
|---|---|---|---|---|
| Average marginal effect (95% CI) | Average marginal effect (95% CI) | |||
| Race and ethnicity | ||||
| Asian | −1.2 (−2.3 to 0.0) | .05 | −1.1 (−2.1 to −0.1) | .03 |
| Black | 1.9 (−0.4 to 4.2) | .11 | 1.6 (0.2 to 3.0) | .02 |
| Hispanic | 1.9 (−0.2 to 4.0) | .07 | 3.7 (2.6 to 4.9) | <.001 |
| White | [Reference] | [Reference] | ||
| Other | 0.0 (−2.2 to 2.2) | .99 | −0.6 (−3.0 to 1.8) | .61 |
| Delivery month | 0.1 (0.0 to 0.2) | .06 | 0.7 (0.5 to 0.8) | <.001 |
| Time period | ||||
| Prepandemic | [Reference] | [Reference] | ||
| Early pandemic | 1.2 (−1.0 to 3.4) | .27 | 33.7 (27.8 to 39.5) | <.001 |
| Late pandemic | 0.4 (−0.4 to 1.2) | .34 | 22.2 (20.2 to 24.2) | <.001 |
|
| ||||
| Early pandemic vs prepandemic | ||||
| Asian | 8.1 (4.9 to 11.2) | <.001 | 10.3 (7.7 to 13.0) | <.001 |
| Black | 5.2 (0.5 to 9.9) | .03 | 16.2 (11.3 to 21.1) | <.001 |
| Hispanic | 6.6 (4.3 to 8.9) | <.001 | 15.0 (10.1 to 19.8) | <.001 |
| White | 4.8 (0.8 to 8.9) | .02 | 16.2 (13.2 to 19.1) | <.001 |
| Other | 4.5 (−4.2 to 13.2) | .31 | 15.4 (7.0 to 23.8) | <.001 |
| Late pandemic vs prepandemic | ||||
| Asian | −0.1 (−0.4 to 0.1) | .33 | −2.7 (−3.5 to −2.0) | <.001 |
| Black | −0.1 (−1.0 to 0.7) | .79 | −1.3 (−2.3 to −0.3) | .01 |
| Hispanic | −0.3 (−1.1 to 0.4) | .40 | −1.0 (−1.6 to −0.3) | .002 |
| White | 0.0 (0.0 to 0.1) | .35 | −3.0 (−3.3 to −2.8) | <.001 |
| Other | 0.0 (−0.2 to 0.3) | .91 | −2.5 (−4.1 to −0.9) | .002 |
|
| ||||
| Prepandemic | ||||
| White | [Reference] | [Reference] | ||
| Black | 0.1 (−0.2 to 0.5) | .47 | −0.3 (−1.0 to 0.4) | .40 |
| Hispanic | 0.2 (−0.1 to 0.4) | .24 | −0.3 (−0.7 to 0.2) | .22 |
| Asian | −0.1 (−0.2 to 0.1) | .54 | 0.0 (−0.5 to 0.4) | .84 |
| Other | −0.1 (−0.5 to 0.3) | .75 | 0.0 (−0.9 to 0.9) | .99 |
| Early-pandemic | ||||
| Asian | −1.8 (−7.0 to 3.4) | .49 | 6.7 (−2.2 to 15.6) | .14 |
| Black | −1.1 (−5.7 to 3.5) | .64 | −4.4 (−17.9 to 9.2) | .53 |
| Hispanic | 2.7 (−1.0 to 6.3) | .15 | −12.0 (−20.5 to −3.5) | .006 |
| White | [Reference] | [Reference] | ||
| Other | −1.0 (−11.5 to 9.5) | .85 | −2.3 (−24.5 to 20.0) | .84 |
| Late pandemic | ||||
| Black | 0.1 (−0.1 to 0.2) | .21 | 1.1 (0.6 to 1.6) | <.001 |
| Hispanic | 0.03 (−0.1 to 0.1) | .56 | 1.3 (0.9 to 1.6) | <.001 |
| Asian | −0.1 (−0.2 to 0.0) | .17 | 0.1 (−0.3 to 0.6) | .54 |
| White | [Reference] | [Reference] | ||
| Other | −0.1 (−0.2 to 0.1) | .42 | 0.4 (−0.2 to 1.0) | .23 |
Models controlled for maternal demographic and clinical characteristics, including age, marital status, gestational age at delivery, delivery mode, severe morbidity, diabetes, hypertension, depression, smoking, prenatal care attendance, county-level social vulnerability, and delivery hospital. The full model with covariates can be found in the eTable in the Supplement.
Other racial groups include American Indian or Alaska Native, Native Hawaiian or other Pacific Islander, and multiple races.
Prepandemic period was January to December 2019; early pandemic period, January to March 2020; late pandemic period, April 2020 to November 2021.
Figure 2. Adjusted Monthly Trends of Postpartum Care Access Probabilities From January 2019 to November 2021
Probabilistic margins of the probabilities of attending, canceling, and nonscheduling postpartum care by delivery month in terms of pandemic phases, estimated using a multinomial logistic model with adjustment for age, marital status, gestational age at delivery, delivery mode, severe morbidity, diabetes, hypertension, depression, smoking, prenatal care attendance, county-level social vulnerability, and delivery hospital, with clustering at the residential zip code level. Whiskers indicate the 95% CIs.