| Literature DB >> 32787838 |
Margaret Amanua Chinbuah1, Mira Taylor2,3, Magdalena Serpa4,5, Goldy Mazia4,6, Patience Korkor Cofie2, Williams Kwarah2, Suzanne Dawson4, Brett D Nelson7,8, Cyril Engmann4,9.
Abstract
BACKGROUND: Responding to stagnating neonatal mortality rates in Ghana, a five-year collaboration called Making Every Baby Count Initiative (MEBCI) was undertaken to improve the quality of newborn care provided around the time of birth. A multi-pronged approach was used to build health worker (HW) capacity in resuscitation, essential newborn care, and infection prevention using a curriculum built on the American Academy of Pediatric's (AAP) Helping Babies Breathe (HBB) and Essential Care for Every Baby (ECEB) modules with an added section on infection prevention (IP).Entities:
Mesh:
Year: 2020 PMID: 32787838 PMCID: PMC7422609 DOI: 10.1186/s12913-020-05225-2
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Key features of the MEBCI training
Fig. 2Timeline for sequential roll-out of MEBCI capacity building activities
Demographic characteristics of all training participants by region
| BAR | ER | VR | AR | ||
|---|---|---|---|---|---|
| Less than 30 years | 435 (51.9) | 376 (44.1) | 282 (50.4) | 652 (45.4) | 1745 (47.3) |
| 30–39 years | 256 (30.5) | 289 (33.9) | 183 (32.7) | 522 (36.4) | 1250 (33.9) |
| More 40 years | 122 (14.5) | 126 (21.5) | 91 (16.2) | 167 (11.7) | 563 (15.3) |
| Male | 149 (17.8) | 106 (12.4) | 124 (22.1) | 205 (14.3) | 584 (15.8) |
| Female | 690 (81.2) | 747 (87.6) | 436 (77.9) | 1231 (85.7) | 3104 (84.2) |
| Paediatrician/ Obstetrician | 6 (0.7) | 9 (1.0) | 3 (0.6) | 14 (1.0) | 32 (0.9) |
| Anaesthetist | 43 (5.1) | 54 (6.3) | 35 (6.3) | 62 (4.3) | 194 (5.5) |
| Midwife | 486 (57.9) | 587 (57.1) | 326 (58.2) | 871 (60.7) | 2170 (58.8) |
| Medical Officer | 56 (6.7) | 46 (5.4) | 49 (8.8) | 42 (2.9) | 193 (5.2) |
| General Nurse | 98 (11.7) | 187 (21.9) | 107 (19.1) | 250 (17.4) | 642 (17.4) |
| PN/CN/EmN/PON | 8 (1.0) | 10 (1.2) | 2 (0.4) | 20 (1.4) | 40 (1.08) |
| EnN/HA/WA | 97 (11.6) | 8 (0.9) | 16 (2.9) | 117 (8.2) | 238 (6.5) |
| CHN and PHN | 13 (1.6) | 28 (3.3) | 9 (1.6) | 16 (1.1) | 66 (1.8) |
| MA/PA | 16 (1.9) | 19 (2.2) | 19 (2.2) | 18 (1.3) | 5 (0.9) |
| RHD/DHD | 16 (1.9) | 5 (0.6) | 8 (1.4) | 22 (1.5) | 51 (1.4) |
| Less than 1 year | 115 (13.7) | 12 (1.4) | 50 (8.9) | 93 (6.5) | 270 (7.3) |
| 1–5 years | 383 (45.7) | 457 (53.6) | 356 (63.6) | 886 (61.7) | 2082 (56.5) |
| 6–10 years | 130 (15.5) | 174 (20.4) | 68 (12.1) | 236 (16.4) | 608 (16.5) |
| More than 10 years | 126 (15.0) | 202 (23.7) | 76 (13.6) | 160 (11.5) | 564 (15.3) |
| District Hospital | 759 (90.5) | 732 (85.8) | 514 (91.8) | 1256 (87.5) | 3261 (88.4) |
| Polyclinic/Health Centre | 67 (8.0) | 105 (12.2) | 43 (7.6) | 167 (11.5) | 380 (10.3) |
| RHD/ MHD/DHD | 8 (1.1) | 4 (0.5) | 1 (0.2) | 1 (0.1) | 14 (0.3) |
| Regional Hospital | 4 (0.5) | 12 (1.4) | 1 (0.2) | 11 (0.7) | 28 (0.8) |
| Training School | 1 (1.1) | 0 (0.0) | 1 (0.2) | 3 (0.2) | 5 (0.1) |
| GHS | 376 (44.8) | 553 (64.8) | 358 (63.9) | 992 (69.1) | 2279 (61.8) |
| FBO/ Quasi-government | 463 (55.2) | 300 (35.2) | 202 (36.1) | 444 (30.9) | 1409 (38.2) |
Missing data were less than 10% and have been excluded. RHD-Regional Health Directorate, MHD-Municipal Health Directorate, DHD-District Health Directorate. Community Health Nurses /Public Health Nurses = CHN/PHN; Enrolled Nurses, Health Assistants, and Ward Assistants = EN/HA/WA; Medical Assistants and Physician Assistants = MA/PA; Paediatric Nurses, Critical Care Nurses, Emergency Nurses, and Peri-operative Nurses = PN/CN/EmN/PON; Community-based Health Planning and Services compounds = CHPS; Ghana Health Service = GHS; faith-based organization health facilities = FBO. Health facilities supported by the government but managed privately = quasi-government facilities; Brong Ahafo Region = BAR, Eastern Region = ER, Volta Region = VR, and Ashanti Region = AR. Municipal Health Directorate = MHD, District Health Directorate = DHD, Regional Health Directorate = RHD
Proportion of HWs who passed pre- and post-knowledge tests by region
| BAR | ER | VR | AR | Total | ||
|---|---|---|---|---|---|---|
| HBB | Pretest | 94.6 (747/790) | 90.9 (729/802) | 97.8 (478/489) | 92.2 (1253/1359) | 93.2 (3207/3440) |
| Posttest | 99.2 (715/721) | 99.9 (801/802) | 100.0 (480/489) | 99.8 (1355/1358) | 99.7 (3360/3370) | |
| ECEB | Pretest | 87.7 (693/790) | 90.7 (727/802) | 90.8 (444/489) | 88.4 (1200/1358) | 89.1 (3064/3439) |
| Posttest | 98.7 (745/755) | 100.0 (802/802) | 100.0 (489/489) | 99.7 (1354/1354) | 99.6 (3390/3390) | |
| IP | Pretest | 85.5 (672/786) | 83.7 (671/802) | 84.0 (408/486) | 86.3 (1170/1356) | 85.2 (2921/3430) |
| Posttest | 97.5 (700/718) | 99.6 (798/801) | 98.0 (477/487) | 99.0 (1340/1354) | 98.7 (3315/3360) | |
Fig. 3Performance of selected HW cadres on the HBB OSCE steps
Fig. 4Performance of HWs on key steps in the HBB OSCEs
Fig. 5HW performance on the ECEB OSCE steps by region
Fig. 6HW performance in relation to ECEB Action Plan zones