| Literature DB >> 32047019 |
Rachel Umoren1,2, Veronica Chinyere Ezeaka3, Ireti B Fajolu3, Beatrice N Ezenwa3, Patricia Akintan3, Emeka Chukwu4, Chuck Spiekerman5.
Abstract
OBJECTIVES: The objective of this study was to explore the access to, and perceived utility of, various simulation modalities by in-service healthcare providers in a resource-scarce setting.Entities:
Keywords: education & training (see medical education & training); medical education & training; paediatrics; world wide web technology
Mesh:
Year: 2020 PMID: 32047019 PMCID: PMC7044915 DOI: 10.1136/bmjopen-2019-034029
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Demographics of respondents
| Demographic characteristics, n=161 | N (%) | |
| Age range (years) | 21–30 | 26 (16) |
| 31–40 | 79 (48) | |
| 41–50 | 44 (27) | |
| >50 | 17 (10) | |
| Gender | Male | 34 (21) |
| Female | 127 (79) | |
| Profession | Physician | |
| Consultant | 26 (15) | |
| Registrar/House Officer | 45 (28) | |
| Medical Officer | 26 (16) | |
| Non-physician | ||
| Nurse/nurse-midwife | 62 (39) | |
| Community Health Extension Worker/Officer | 9 (6) | |
| Years of practice | <5 | 28 (17) |
| 5–10 | 62 (37) | |
| 11–15 | 35 (21) | |
| 16–20 | 20 (12) | |
| >20 | 21 (13) | |
| Location of practice | North East | 2 (1) |
| North West | 7 (4) | |
| North Central* | 100 (60) | |
| South East | 12 (7) | |
| South West | 32(19) | |
| South South | 14 (8) | |
| Type of healthcare facility | Government—Tertiary care | 72 (43) |
| Government—Secondary care | 34 (20) | |
| Government—Primary care | 20 (12) | |
| Private | 41 (25) | |
| Specialty | General paediatrics | 98 (64) |
| Subspecialty paediatrics | 22 (14) | |
| Other specialties | 34 (22) | |
*North Central: Abuja Federal Capital Territory (FCT), the capital city of Nigeria, is located in North-Central Nigeria and was the location of the conference.
Access to simulation-based training in health facilities
| Respondent characteristics | Facilities available for simulation-based training, n (%) | P value |
| Profession | NS | |
| Physician | 62 (66) | |
| Nurse | 37 (61) | |
| Years in practice | NS | |
| >10 | 44 (62) | |
| ≤10 | 54 (66) | |
| Type of facility | NS | |
| Government | 70 (61) | |
| Private | 28 (70) | |
| Geographic location of practice | NS | |
| North | 59 (61) | |
| South | 39 (68) | |
North = North-East, North-Central, North-West Nigeria geopolitical zones.
South = South-West, South-East, South-South Nigeria geopolitical zones.
Exposure to manikin-based training in basic life support varies by type and location of facility
| Basic life support Manikin-based training | N (%) | P value |
| Profession | NS | |
| Physician (consultant or registrar) | 36 (38) | |
| Nurse/nurse-midwife | 18 (29) | |
| Years in practice | NS | |
| >10 | 24 (32) | |
| <10 | 30 (33) | |
| Type of facility | <0.001 | |
| Government | 30 (36) | |
| Private | 23 (58) | |
| Geographic location | <0.01 | |
| North | 25 (25) | |
| South | 28 (48) |
North = North-East, North-Central, North-West Nigeria geopolitical zones.
South = South-West, South-East, South-South Nigeria geopolitical zones.
Figure 1Challenges to establishing skills-based simulation labs in private and government health facilities legend: *p<0.05.
Perceived advantages of simulation-based training vary by profession
| Advantages of simulation-based training | Physician, n (%) | Nurse, n (%) | P value |
| Skills acquisition | 83 (86) | 27 (44) | <0.001 |
| Provides feedback | 47 (49) | 11 (18) | <0.001 |
| Step down training | 48 (50) | 21 (34) | NS |
| Monitoring and evaluation | 47 (49) | 16 (26) | <0.01 |
| Debriefing/reflection | 34 (35) | 8 (13) | <0.01 |
| Hands-on skills practice | 64 (67) | 18 (29) | <0.001 |
| Teamwork/communication training | 55 (57) | 23 (37) | <0.05 |
| Skills maintenance/retention | 54 (56) | 15 (24) | <0.001 |
| Examination purposes when patients are unavailable | 56 (58) | 9 (15) | <0.001 |