| Literature DB >> 35524211 |
Godwin O Akaba1, Osasuyi Dirisu2, Kehinde S Okunade3, Eseoghene Adams4, Jane Ohioghame5, Obioma O Obikeze6, Emmanuel Izuka7, Maryam Sulieman8, Michael Edeh9.
Abstract
BACKGROUND: COVID-19 pandemic may have affected the utilization of maternal and newborn child health services in Nigeria but the extent, directions, contextual factors at all the levels of healthcare service delivery in Nigeria is yet to be fully explored. The objective of the study was to explore the barriers and facilitators of access to MNCH services during the first wave of COVID-19 pandemic in Nigeria.Entities:
Keywords: Access; COVID-19; Child health; Maternal; Newborn; Nigeria; Services
Mesh:
Year: 2022 PMID: 35524211 PMCID: PMC9073814 DOI: 10.1186/s12913-022-07996-2
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.908
List of participating states, health facilities and number of cases of COVID-19 in the states
| Level of health facility | ||||||
|---|---|---|---|---|---|---|
| Tertiary health centre | University of Abuja Teaching Hospital, Gwagwalada, Abuja | Lagos University Teaching Hospital, Idi-Araba, Lagos | Muhammad Abdullahi Wase Teaching Hospital, Kano | Federal Medical Center Jalingo, Taraba | University of Nigeria Teaching Hospital, Ituku-Ozalla, Enugu | Federal Medical Center, Yenagoa |
| Secondary health centre | General Hospital, Kwali | General Hospital, Badagry | Wudil General Hospital, Wudil | General Hospital, Sunkani Ardokola | Poly General Hospital, Enugu, North LGA | Diete-Koki Memorial Hospital, Opolo |
| Primary health centre | Comprehensive Health Center, Abaji | Comprehensive Health Center, Isolo | Comprehensive Health Center, Kiru | Rifkatu Danjuma maternity PHC, Takum | Comprehensive Health Center Obukpa, Nsukka | Amarata Primary Health Care Center |
Participant’s demographics
| DESCRIPTION | Number of interviewees ( | |
|---|---|---|
| Service Users (SU) | 18 | |
| Service Providers (SP) | 18 | |
| Policy Makers (PM) | 18 | |
| Demographic features for service users | Number of SUs ( | |
| Age Group | 20 – 30 | 7 |
| 31 – 40 | 10 | |
| 41 – 50 | 1 | |
| Demographic features for service providers | Number of SPs ( | |
| Age Group | 20 – 30 | 1 |
| 31 – 40 | 5 | |
| 41 – 50 | 5 | |
| 51 – 60 | 7 | |
| Category | CHEW | 1 |
| Matron/ Nursing Officers | 7 | |
| Nurse-in-Charge | 4 | |
| Resident Doctor/ Medical Officer | 3 | |
| Consultants OBS/GYN | 3 | |
| Gender | Male | 4 |
| Female | 14 | |
| Demographic features for policymakers | Number of PMs ( | |
| Age Group | 30 – 40 | 4 |
| 41 – 50 | 11 | |
| 51 – 60 | 3 | |
| Gender | Male | 13 |
| Female | 5 | |
Summary of findings
| Determinants of utilization of MNCH services using the Three Delays Mode | |
|---|---|
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| Community sensitization on healthcare access during the pandemic | |
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