| Literature DB >> 35387835 |
Lajya Devi Goyal1, Priyanka Garg1, Madhur Verma2, Navdeep Kaur1, Dapinder Bakshi3, Jatinder Arora3.
Abstract
OBJECTIVES: To assess the difficulties faced by the pregnant women in seeking appropriate antenatal care due to the restrictions imposed during the COVID-19 pandemic; assess the difficulties encountered during delivery and postpartum period; the suitability of the teleconsultation services offered; effect of COVID-19 infection on pregnancy outcomes and the effect of restrictions on the nutrition profile of the pregnant women.Entities:
Keywords: COVID-19; epidemiology; maternal medicine; public health
Mesh:
Year: 2022 PMID: 35387835 PMCID: PMC8987212 DOI: 10.1136/bmjopen-2021-059701
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Sociodemographic characteristics of the pregnant women from the three districts of rural north India and their knowledge and awareness regarding the COVID-19 pandemic
| Bathinda | Faridkot | Muktsar | Total | P value | |
|
| |||||
|
| |||||
| 15–20 | 24 (3.2) | 18 (3.4) | 5 (5) | 47 (3.4) | 0.832 |
| 21–30 | 635 (85.6) | 442 (83.1) | 83 (83) | 1160 (84.4) | |
| 31–40 | 81 (10.9) | 70 (13.2) | 12 (12) | 163 (11.9) | |
| >40 | 2 (0.3) | 2 (0.4) | 0 | 4 (0.3) | |
|
| 0.042 | ||||
| Nuclear | 191 (25.7) | 171 (32.1) | 30 (30.0) | 392 (28.5) | |
| Joint | 551 (74.3) | 361 (67.9) | 70 (70.0) | 982 (71.5) | |
|
| <0.001 | ||||
| Postgraduation | 51 (6.9) | 64 (12) | 4 (4) | 119 (8.7) | |
| Graduate | 89 (12) | 89 (16.7) | 8 (8) | 186 (13.5) | |
| Intermediate/Posthigh school diploma | 174 (23.5) | 108 (20.3) | 17 (17) | 299 (21.8) | |
| High school certificate | 148 (19.9) | 74 (13.9) | 15 (15) | 237 (17.2) | |
| Middle school certificate | 111 (15) | 76 (14.3) | 18 (18) | 205 (14.9) | |
| Primary school certificate | 91 (12.3) | 43 (8.1) | 19 (19) | 153 (11.1) | |
| Less than primary school | 6 (0.8) | 2 (0.4) | 2 (2) | 10 (0.7) | |
| Illiterate | 72 (9.7) | 76 (14.3) | 17 (17) | 165 (12) | |
|
| <0.001 | ||||
| Upper class | 40 (5.4) | 59 (11.1) | 8 (8.0) | 107 (7.8) | |
| Upper middle class | 86 (11.6) | 72 (13.5) | 3 (3.0) | 161 (11.7) | |
| Lower middle class | 223 (30.1) | 127 (23.9) | 21 (21.0) | 371 (27) | |
| Upper lower class | 341 (46) | 226 (42.5) | 57 (57.0) | 624 (45.4) | |
| Lower class | 52 (7) | 48 (9) | 11 (11.0) | 111 (8.1) | |
|
| <0.001 | ||||
| Yes | 298 (40.2) | 134 (25.2) | 49 (49) | 481 (35) | |
| No | 444 (59.8) | 398 (74.8) | 51 (51) | 893 (65) | |
|
| |||||
| COVID-19 | 741 (99.9) | 532 (100) | 100 (100) | 1373 (99.9) | >0.05 |
| Mode of transmission | 730 (98.4) | 511 (96.4) | 98 (98) | 1339 (97.5) | <0.05 |
|
| >0.05 | ||||
| Cough | 738 (99.5) | 520 (97.7) | 100 (100) | 1358 (98.8) | |
| Fever | 687 (92.6) | 489 (91.9) | 93 (93) | 1358 (98.8) | |
| Sore throat | 163 (22) | 80 (15) | 12 (12) | 255 (18.6) | |
| Sneezing | 427 (57.5) | 251 (47.2) | 41 (41) | 719 (52.3) | |
| Malaise | 347 (46.8) | 206 (38.7) | 36 (36) | 589 (42.9) | |
| Diarrhoea | 146 (19.7) | 64 (12) | 11 (11) | 221 (16.1) | |
|
| <0.01 | ||||
| Regular use of the face mask | 732 (98.7) | 521 (97.9) | 97 (97) | 1350 (98.3) | |
| Frequent handwashing | 596 (80.3) | 440 (82.7) | 87 (87) | 1123 (81.7) | |
| Sanitation practices | 470 (63.3) | 281 (52.8) | 47 (47) | 798 (58.1) | |
| Social distancing measures | 423 (57) | 252 (47.4) | 40 (40) | 715 (52) | |
|
| 721 (97.2) | 521 (97.9) | 100 (100) | 1342 (97.7) | >0.05 |
|
| 721 (97.2) | 522 (98.1) | 100 (100) | 1343 (97.9) | >0.05 |
|
| 721 (97.2) | 523 (98.3) | 100 (100) | 1344 (97.8) | >0.05 |
BPL, Below Poverty Line.
Descriptive statistics of the study participants depicting the healthcare-seeking behaviour in the antenatal period during the restrictions imposed due to the COVID-19 pandemic
| Bathinda | Faridkot | Muktsar | Total | P value | |
|
| 742 (100) | 532 (100) | 100 (100) | 1374 (100) | |
|
| 633 (85.3) | 465 (87.4) | 97 (97) | 1195 (87) | <0.01 |
|
| |||||
| Nutrition | 558 (75.2) | 400 (75.2) | 93 (93.0) | 1051 (76.5) | <0.001 |
| Ultrasonography appointment | 299 (40.3) | 292 (54.9) | 78 (78.0) | 669 (48.7) | <0.05 |
| Transportation | 268 (36.1) | 152 (28.6) | 66 (66.0) | 486 (35.4) | <0.001 |
| Healthcare provider access | 155 (20.9) | 126 (23.7) | 27 (27.0) | 308 (22.4) | >0.05 |
| ANC investigations | 172 (23.2) | 88 (16.5) | 36 (36.0) | 296 (21.5) | <0.001 |
| Dietary Supplements | 69 (9.3) | 48 (9.0) | 8 (8.0) | 125 (9.1) | >0.05 |
| Immunisation against tetanus | 16 (2.2) | 2 (0.4) | 0 | 18 (1.3) | <0.05 |
|
| <0.001 | ||||
| First trimester | 642 (86.4) | 451 (84.8) | 72 (72) | 1165 (84.7) | |
| Second trimester | 97 (13.1) | 78 (14.7) | 28 (28) | 203 (14.8) | |
| Third trimester | 3 (0.4) | 3 (0.6) | 0 | 6 (2.3) | |
|
| <0.001 | ||||
| Nil | 23 | 5 (0.9) | 1 (1) | 29 (2.1) | |
| 1 | 78 (10.5) | 30 (5.6) | 12 (12) | 120 (8.7) | |
| 2 | 341 (46) | 232 (43.6) | 76 (76) | 649 (47.2) | |
| 3 | 205 (27.6) | 165 (31.0) | 10 (10) | 380 (27.7) | |
| 4 | 84 (11.3) | 92 (17.3) | 1 (1) | 177 (12.9) | |
| 5 | 11 (1.5) | 8 (1.5) | 0 | 19 (1.4) | |
|
| <0.001 | ||||
| Nil | 5 (0.7) | 8 (1.5) | 1 (1) | 14 (1.0) | |
| 1 | 100 (13.5) | 53 (10.0) | 7 (7) | 160 (11.6) | |
| 2 | 320 (43.1) | 157 (29.5) | 50 (50) | 527 (38.4) | |
| 3 | 295 (39.8) | 280 (52.6) | 39 (39) | 614 (44.7) | |
| >3 | 22(3) | 34 (6.4) | 3 (3) | 59 (4.3) | |
|
| |||||
| Dating | 355 (47.8) | 342 (64.30 | 30 (30) | 727 (52.9) | <0.001 |
| Second Trimester | 355 (47.8) | 342 (64.30 | 30 (30) | 727 (52.9) | >0.05 |
| Level 2 USG | 199 (26.8) | 386 (72.6) | 13 (13) | 435 (31.7) | <0.001 |
| Growth scan | 618 (83.3) | 449 (84.4) | 93 (93) | 1160 (84.4) | >0.05 |
|
| <0.01 | ||||
| Yes | 492 (66.3) | 388 (72.9) | 78 (78) | 958 (69.7) | |
| No | 250 (33.7) | 144 (27.1) | 22 (22) | 416 (30.3) |
ANC, antenatal care; ANM, Auxiliary Nurse Midwives; ASHA, Accredited Social Health Activist; USG, ultrasonography.
Complications faced by the pregnant women during the lockdown in various stages of pregnancy and the postpartum period
| Bathinda | Faridkot | Muktsar | Total | P value | |
|
| 742 (100) | 532 (100) | 100 (100) | 1374 (100) | |
|
| |||||
| Complications observed during pregnancy | 548 (78.9) | 447 (84) | 80 (80) | 1075 (78.2) | <0.001 |
|
| |||||
| 499 (91.0) | 432 (96.6) | 78 (97.5) | 1009 (93.8) | <0.001 | |
| 96 (17.5) | 57 (12.7) | 2 (2.5) | 155 (14.4) | <0.01 | |
| 38 (5.1) | 49 (9.2) | 4 (4.0) | 91 (6.6) | ||
| 35 (6.3) | 16 (3.5) | 3 (3.7) | 54 (5.0) | >0.05 | |
| 40 (7.2) | 17 (3.8) | 2 (2.5) | 59 (5.4) | >0.05 | |
| 39 (7.1) | 19 (4.2) | 1 (1.2) | 59 (5.4) | >0.05 | |
| 17 (3.1) | 7 (1.5) | 0 | 24 (2.2) | >0.05 | |
| 4 (0.7) | 5 (1.1) | 0 | 9 (0.8) | >0.05 | |
| | <0.001 | ||||
| Planned place | 606 (81.7) | 428 (80.5) | 96 (96) | 1130 (82.2) | |
| 115 (15.5) | 95 (17.9) | 4 (4) | 214 (15.6) | ||
| 21 (2.8) | 9 (1.7) | 0 | 30 (2.2) | ||
| | <0.001 | ||||
| 451 (60.8) | 315 (59.2) | 79 (79) | 845 (61.5) | ||
| 238 (32.1) | 154 (28.9) | 19 (19) | 411 (29.9) | ||
| 31 (4.2) | 44 (8.3) | 2 (2.0) | 77 (5.6) | ||
|
| |||||
| Eventful | 76 (10.2) | 35 (6.6) | 3 (3) | 114 (8.3) | <0.001 |
|
| <0.05 | ||||
| 18 (2.4) | 13 (2.4) | 2 (2) | 33 (2.4) | ||
| 3 (0.4) | 0 | 0 | 3 (0.2) | ||
| 27 (3.6) | 18 (3.4) | 1 (1) | 46 (3.3) | ||
| 28 (3.8) | 4 (0.8) | 0 | 32 (2.3) | ||
|
| <0.05 | ||||
| 49 (6.6) | 25 (4.7) | 3 (3) | 77 (5.6) | ||
|
| >0.05 | ||||
| | 20 (2.7) | 14 (2.6) | 1 (1) | 35 (2.5) | |
|
| 8 (1.1) | 5 (0.9) | 1 (1) | 14 (1.0) | |
| 13 (1.8) | 1 (0.2) | 1 (1) | 15 (1.1) | ||
| 4 (0.5) | 3 (0.6) | 0 | 7 (0.5) | ||
| 4 (0.5) | 2 (0.4) | 0 | 6 (0.4) | ||
| 0 | 0 | 0 | 0 | ||
|
| >0.05 | ||||
| 22 (3.0) | 12 (2.3) | 3 (3) | 37 (2.7) | ||
| 24 (3.2) | 10 (1.9) | 0 | 34 (2.5) | ||
| 3 (0.4) | 3 (0.6) | 0 | 6 (0.4) | ||
|
| 455 (61.3) | 345 (64.8) | 83 (83) | 883 (64.3) | 0.001 |
| | 386 (52) | 288 (54.1) | 76 (76) | 750 (54.6) | <0.001 |
|
| |||||
| Availed any contraceptives | 464 (62.5) | 237 (44.5) | 100 (100) | 762 (55.5) | <0.001 |
|
| <0.001 | ||||
| 432 (58.2) | 220 (41.4) | 58 (58) | 710 (51.7) | ||
| 32 (4.3) | 17 (3.2) | 3 (3) | 52 (3.8) | ||
| 5 (0.7) | 7 (1.3) | 1 (1) | 13 (0.9) | >0.05 | |
|
| |||||
| 1 (20) | 0 | 0 | 1 (7.6) | ||
| 3 (60) | 6 (71.4) | 1 (100) | 10 (76.9) | ||
| 1 (20) | 1 (4.2) | 0 | 2 (15.3) | ||
|
| >0.05 | ||||
| 22 (100) | 19 (100) | 0 | 41 (100) | ||
|
| >0.05 | ||||
| 19 (86.3) | 17 (89.4) | 0 | 36 (87.8) | ||
| 3 (13.6) | 2 (10.5) | 0 | 5 (12.1) | ||
| Faced difficulty to access healthcare facility | 5 (22.7) | 4 (21.5) | 0 | 9 (21.9) | >0.05 |
|
| |||||
| Baby attended by a paediatrician at the time of birth | 349 (47) | 352 (66.2) | 19 (19) | 720 (52.4) | <0.001 |
| Breast feeding initiated within a half-hour of NVD and 6 hours of LSCS | 528 (71.2) | 405 (76.1) | 81 (81) | 1014 (73.8) | <0.05 |
| Colostrum is given to baby | 605 (81.5) | 429 (80.6) | 92 (92) | 1126 (82) | >0.05 |
| Prelacteal feeds given to baby | 578 (77.9) | 433 (81.4) | 88 (88) | 1099 (80) | <0.05 |
| Mother taught about breast feeding, latching and kangaroo mother care practices | 647 (87.2) | 460 (86.5) | 95 (95) | 1202 (87.5) | >0.05 |
| Birth registered within 14 days for birth certificate | 674 (90.8) | 473 (88.9) | 94 (94) | 1241 (90.3) | >0.05 |
| If the baby was preterm, did the baby need NICU admission | 80 (10.8) | 69 (12.6) | 6 (6) | 155 (11.1) | >0.05 |
| Did you face any difficulty with NICU admission | 4 (5) | 2 (2.5) | 1 (1.25) | 7 (8.75) | >0.05 |
|
| |||||
| Newborn vaccinated as per UIP | 700 (94.3) | 499 (93.8) | 100 (100) | 1299 (94.5) | >0.05 |
| Services provided at | |||||
| 676 (91.1) | 480 (90.2) | 98 (98) | 1254 (91.3) | ||
| 25 (3.4) | 19 (3.6) | 2 (2) | 46 (3.3) |
ANM, Auxiliary Nurse Midwives; ASHA, Accredited Social Health Activist; LSCS, Lower Segment Cesarean Section; NICU, neonatal intensive care unit; NVD, Normal Vaginal Delivery; OPD, outpatient department; UIP, Universal Immunisation Programme.
Figure 1Flow chart depicting the pregnancy outcomes during the COVID-19 restrictions imposed in India.
Status of the women tested positive for COVID-19 during their pregnancy
| Total | |
|
| |
|
| 802 (58.4) |
|
| |
| During pregnancy and delivery | 21 (1.5) |
| Only during delivery | 7 (0.5) |
|
| |
| First trimester | 1 (4.7) |
| Second trimester | 3 (14.2) |
| Third trimester | 17 (80.9) |
|
| |
| Asymptomatic | 16 (76.1) |
| Body pain/Fever | 2 (9.5) |
| Liver infection | |
| Typhoid | |
| Mild dyspnoea | 1 (4.7) |
| Diarrhoea | |
| Cold/Cough | 2 (9.5) |
|
| 21 |
| Home quarantine | 9 |
| Faridkot COVID-19 centre | 8 |
| Bajakhana COVID-19 centre | 1 |
| Ghuddha COVID-19 centre | 2 |
|
| |
| Changed behaviour of staff | 10 (47.6) |
| Pregnancy handled properly | 9 (42.8) |
| Difficulty in transport | 1 (4.7) |
| Difficulty in getting admission | 1 (4.7) |
|
| |
| Live birth | 20 (95.2) |
| Stillbirth | 1 (4.7) |
| Abortion | 0 |
|
| |
| Normal vaginal delivery | 10 (47.6) |
| Caesarean section | 10 (47.6) |
| Assisted delivery | 1 (4.7) |
|
| |
| Full-term | 12 (57.1) |
| Preterm | 9 (42.8) |
|
| 6 (28.5) |
NICU, neonatal intensive care unit.
Figure 2Flow chart depicting the outcome of the COVID-19-positive pregnant women during the COVID-19 restrictions imposed in India.
Assessment of the teleconsultation services offered to antenatal women during the lockdown in the rural area of North India
| Total | |
|
| |
|
| 439 (32) |
|
| 21 (1.5) |
|
| 92 (6.7) |
|
| 49 (3.6) |
|
| |
| Private hospital | 21 (1.5) |
| Government hospital | 28 (2.0) |
|
| |
| Audio | 49 (3.6) |
| Video | 0 |
|
| |
| Faced difficulty in taking teleconsultation appointment | 8 (16.3) |
| Ease of connection for appointment | 40 (81.6) |
| Good voice/Video quality of the service | 48 (97.9) |
| The concern showed by the doctor towards the problems | 44 (89.7) |
| Received adequate explanation of your problem by the doctor | 44 (89.7) |
| Received adequate explanation of the treatment | 44 (89.7) |
| Relieved of your problems | 33 (67.3) |
| Felt the need to go to the hospital for definite diagnosis and treatment | 43 (87.7) |
| Clarity of the prescription | 10 (20.4) |
|
| |
| Satisfied | 41 (83.6) |
| Unsatisfied | 8 (16.3) |
|
| |
| Satisfied | 11 (22.4) |
| Unsatisfied | 38 (77.5) |
| Use telemedicine again | 33 (67.3) |
Effect of lockdown on the nutritional profile of pregnant women in the rural area of North India
| Bathinda | Faridkot | Muktsar | Total | χ2 (p value) | |
|
|
|
|
|
| |
|
| 556 (74.9) | 402 (75.6) | 93 (93) | 1051 (76.5) | <0.001 |
|
| 408 (55) | 280 (52.6) | 75 (75) | 763 (55.5) | <0.001 |
|
| |||||
| Fruits | 535 (72.2) | 388 (72.9) | 92 (92) | 1016 (73.9) | <0.001 |
| Vegetables | 267 (36) | 207 (38.9) | 43 (43) | 517 (37.6) | >0.05 |
| Dairy products | 155 (20.9) | 148 (27.8) | 40 (40) | 343 (25.0) | <0.001 |
| Oil and ghee | 159 (21.4) | 145 (27.3) | 43 (43) | 347 (25.3) | <0.001 |
| Pulses | 55 (7.4) | 32 (6) | 3 (3) | 90 (6.6) | >0.05 |
| Cereals | 128 (17.3) | 106 (19.9) | 24 (24) | 258 (18.8) | >0.05 |
| Nuts | 428 (57.7) | 343 (64.5) | 85 (85) | 856 (62.3) | <0.001 |
|
| 631 (85) | 452 (85) | 91 (91) | 1174 (85.4) | >0.05 |
|
| |||||
| Difficulty in receiving iron/calcium | 67 (9) | 46 (8.6) | 10 (10) | 123 (9.0) | >0.05 |
| Ever skipped iron/calcium with fear of running out of stock | 14 (1.9) | 29 (5.5) | 2 (2) | 45 (3.3) | >0.05 |
| Purchased supplements | 66 (8.9) | 46 (8.6) | 8 (8) | 120 (8.7) | >0.05 |
|
| |||||
| Beneficiary registered for midday meal supplements | 699 (94.2) | 330 (62) | 89 (89) | 1118 (81.4) | <0.001 |
| Meals are given during lockdown | 597 (80) | 144 (27.1) | 74 (74) | 815 (59.3) | <0.001 |