| Literature DB >> 35298488 |
Chibuikem A Ikwuegbuenyi1, Alice Umutoni1, Neri Ngole Atabe Ngwene1, Placide Ngoma1, Arsene Daniel Nyalundja1, Daniel Safari Nteranya1, Tunde A Olobatoke1, Oloruntoba Ogunfolaji1, Dawin Sichimba1, Joanitor Najjuma1, Lorraine Arabang Sebopelo1, Aliyu Ndajiwo1, Michael A Bamimore1, Gideon Adegboyega1, Ulrick Sidney Kanmounye1.
Abstract
INTRODUCTION: Low- and middle-income countries bear the majority of neurosurgical disease burden and patients face significant barriers to seeking, reaching, and receiving care. We aimed to understand barriers to seeking care among adult Africans by evaluating the public perception, knowledge of availability, and readiness to use neurosurgical care services.Entities:
Mesh:
Year: 2022 PMID: 35298488 PMCID: PMC8929639 DOI: 10.1371/journal.pone.0264955
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Sociodemographic characteristics of survey respondents.
| Characteristics | Frequency (Percentage) |
|---|---|
|
| |
| Female | 299 (45.2) |
| Male | 363 (54.8) |
|
| |
| Single | 574 (86.7) |
| Married, divorced, widowed | 88 (13.3) |
|
| |
| English | 506 (76.4) |
| French | 156 (23.6) |
|
| |
| Nigeria | 160 (24.2) |
| Rwanda | 112 (16.9) |
| Democratic Republic of Congo | 107 (16.2) |
| Cameroon | 105 (15.9) |
| Zambia | 102 (15.4) |
| Uganda | 35 (5.3) |
| Kenya | 16 (2.4) |
| Botswana | 9 (1.4) |
| Côte d’Ivoire | 5 (0.8) |
| Burundi | 3 (0.5) |
| Ghana | 3 (0.5) |
| Central African Republic | 1 (0.2) |
| Ethiopia | 1 (0.2) |
| Niger | 1 (0.2) |
| Sao Tome and Principe | 1 (0.2) |
| Tanzania | 1 (0.2) |
|
| |
| Urban | 600 (90.6) |
| Rural | 62 (9.4) |
|
| |
| Personal neurosurgical experience | 9 (1.4) |
| Family neurosurgical experience | 143 (21.6) |
Knowledge levels of survey respondents.
| Concept evaluated | Frequency (Percentage) |
|---|---|
|
| |
| Complete | 505 (76.3) |
| Incomplete | 133 (20.1) |
| Incorrect | 24 (3.6) |
|
| |
| 8 | 45 (6.8) |
| 7 | 87 (13.1) |
| 6 | 92 (13.9) |
| 5 | 83 (12.5) |
| 4 | 104 (15.7) |
| 3 | 93 (14.0) |
| 2 | 38 (5.7) |
| 1 | 117 (17.7) |
| 0 | 3 (0.5) |
|
| |
| Côte d’Ivoire | 5.8 (1.1) |
| Ethiopia | 5.0 |
| Cameroon | 4.6 (2.1) |
| Rwanda | 4.5 (2.2) |
| Zambia | 4.5 (2.3) |
| Ghana | 4.3 (3.1) |
| Botswana | 4.2 (2.3) |
| Congo, The Democratic Republic | 4.2 (2.2) |
| Uganda | 4.1 (2.0) |
| Niger | 4.0 |
| Tanzania | 4.0 |
| Nigeria | 4.0 (2.2) |
| Burundi | 3.7 (3.8) |
| Central African Republic | 3.0 |
| Sao Tome and Principe | 3.0 |
| Kenya | 2.6 (1.6) |
|
| 29 (4.4) |
|
| 29 (4.4) |
|
| 452 (68.3) |
Fig 1Pareto chart of diseases amenable to neurosurgery recognized by survey respondents.
The black line shows the 80% cut-off while the red line shows the cumulative percentage total.
Fig 2Respondents’ knowledge of neurosurgical care availability in Africa.
Fig 3Diverging bar chart of Likert scale questions showing the percentage of respondents who agree or disagree with an assertion (bottom scale) and the average agreement score in white circles within the bar charts.
Agreement levels were coded as Strongly disagree = -2, Disagree = -1, Neutral = 0, Agree = 1, and Strongly agree = 2. Hence, negative scores denote disagreement, and the more negative the score, the higher the disagreement. Similarly, positive scores represent agreement.
Fig 4Respondents’ preferred destination for neurosurgical care.