| Literature DB >> 28579712 |
Agodirin S Olayide1, Akande J Halimat2, Olatoke A Samuel1, Rahman A Ganiyu1, Oguntola A Soliu3.
Abstract
BACKGROUND: Despite reports of improved awareness of breast cancer entity and seemingly upbeat levels of other awareness subthemes in Nigeria, patients continue to present late when treatment is least rewarding. This paradoxical trend of both rising awareness and late presentation coupled with reports suggesting other competing drivers of late presentation question the "theory of poor awareness" as the foremost driver of late presentations. By aggregating available data, we aimed to assess what still constitutes poor breast cancer awareness in Nigeria in order to suggest how to allocate resources to reverse the paradox.Entities:
Keywords: Breast cancer; Nigeria; Systematic review; awareness; knowledge
Mesh:
Year: 2017 PMID: 28579712 PMCID: PMC5440831 DOI: 10.4314/ejhs.v27i2.9
Source DB: PubMed Journal: Ethiop J Health Sci ISSN: 1029-1857
Figure 2Relationship between subthemes of awareness of breast cancer
Figure 1Flow chart of systematic search
Distribution of respondents
| Respondents | No of | Minimum no of | Maximum no of | Total sum of |
| Students | 11 | 200 | 700 | 3125 |
| School teachers | 3 | 100 | 326 | 726 |
| Healthcare workers (mixed | 8 | 100 | 424 | 1868 |
| Rural dwellers | 8 | 100 | 2048 | 4465 |
| Nurses | 4 | 74 | 135 | 426 |
| Lay women | 6 | 203 | 1600 | 4711 |
| Market women | 4 | 238 | 1194 | 2316 |
| Outpatient clinic attendees (both | 5 | 140 | 818 | 1743 |
| Medical students | 1 | 18 | 18 | 18 |
| Nursing students | 1 | 200 | 200 | 200 |
| 19,598 | ||||
Summary statistics of level of subthemes of awareness
| Concept in awareness | No of | Minimum | Maximum | Average | Weighted |
| Awareness of BC the | 31 | 39.2 | 100 | 85.9±15.5 | 80.7 |
| Awareness of BSE as a | 35 | 13.3 | 100 | 69.3±23.8 | 60.7 |
| Awareness of | 12 | 1 | 91.8 | 37.8±36.5 | 36.9 |
| Knew symptoms and | 9 | 21.4 | 75 | 50.6 ±20.4 | 45.1 |
| Knew risk factors | 10 | 17.4 | 97.6 | 52± 22.16 | 40 |
| Knew BC is a | 9 | 57.6 | 93 | 74.3±10.0 | 73.2 |
| accepted susceptibility | 3 | 16.3 | 44.8 | 27.6 ±15.1 | 26.8 |
| Knew screening/early | 17 | 18.3 | 100 | 81.7±22.8 | 74 |
| Regularly performed | 33 | 0.5 | 100 | 33.5±24.8.0 | 22.9 |
| Regularly Performed | 3 | 0 | 3.1 | 1.4±1.0 | 0.7 |
Quality assessment
| Author | Aim | Relevance | Subject | Subjects | Sample | Questionnaire | Period | Awareness | Results | Ethical | quality |
| Agboola et al ( | 1 | 1 | 0 | 0.5 | 0 | 1 | 1 | 1 | 1 | 1 | 75 |
| Akhigbe et al ( | 1 | 1 | 1 | 0.5 | 0.5 | 0.5 | 1 | 0 | 1 | 1 | 75 |
| Akpo et al( | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 80 |
| Amoran et al ( | 0.5 | 0.5 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 80 |
| Amosu et al( | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0.5 | 1 | 55 |
| Azubuike e al ( | 1 | 1 | 1 | 1 | 1 | 0.5 | 1 | 1 | 0.5 | 1 | 90 |
| Azubuike et al( | 1 | 1 | 0.5 | 1 | 0 | 0.5 | 0 | 0.5 | 1 | 1 | 65 |
| Balogun et al( | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 70 |
| Bassey et al ( | 1 | 1 | 1 | 0.5 | 0 | 1 | 1 | 1 | 1 | 1 | 85 |
| Bello et al( | 1 | 0.5 | 0.5 | 0.5 | 0 | 1 | 1 | 1 | 1 | 1 | 75 |
| Eguvbe et al ( | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 0.5 | 1 | 85 |
| Faronbi et al( | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 70 |
| Gwarzo et al( | 1 | 1 | 1 | 0.5 | 1 | 1 | 1 | 1 | 1 | 1 | 95 |
| Ibrahim et al( | 1 | 1 | 1 | 0.5 | 1 | 1 | 1 | 0 | 1 | 1 | 85 |
| Irurhe et al( | 1 | 0 | 1 | 1 | 1 | 0.5 | 1 | 1 | 1 | 0.5 | 80 |
| Isara et al( | 1 | 1 | 0.5 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 85 |
| Kayode( | 1 | 0.5 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 75 |
| Makanjuola et al( | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 80 |
| Obaji et al( | 1 | 0 | 0.5 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 65 |
| Obajimiet al( | 1 | 1 | 1 | 1 | 1 | 0.5 | 0 | 0 | 1 | 1 | 75 |
| Ocheet al( | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0.5 | 85 |
| Oguntola et al( | 1 | 0.5 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 75 |
| Okobiaet al( | 1 | 0.5 | 1 | 1 | 1 | 0.5 | 1 | 0 | 1 | 1 | 80 |
| Okolie( | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 80 |
| Oladimeji et al ( | 1 | 0.5 | 1 | 0.5 | 1 | 1 | 1 | 0 | 0.5 | 1 | 75 |
| Olugbenga et al( | 1 | 1 | 1 | 0.5 | 1 | 1 | 0 | 1 | 1 | 1 | 85 |
| Oluwatosin et al ( | 1 | 1 | 1 | 0.5 | 1 | 1 | 0 | 1 | 1 | 1 | 85 |
| Oluwatosin et al ( | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 80 |
| Oluwole( | 1 | 0.5 | 1 | 1 | 0 | 1 | 1 | 0 | 0.5 | 1 | 70 |
| Omotara et al ( | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 100 |
| Salaudeen et al( | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 70 |
| Utoo et al( | 1 | 1 | 1 | 0.5 | 0 | 1 | 0 | 0 | 1 | 1 | 65 |
| Adegbenro et al ( | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.5 | 85 |
| Chioma et al( | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0.5 | 75 |
| Yakubu et al( | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 70 |
| Ogunbode et al( | 1 | 0.5 | 1 | 1 | 1 | 1 | 1 | 0 | 0.5 | 1 | 80 |
| Aluko et al( | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 70 |
| Abazie et al ( | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 80 |
| Asuquo et al ( | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 80 |
| Ezeonu et al( | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 90 |
| Isichei et al( | 0.5 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 0.5 | 60 |
| Tobin et al( | 1 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 70 |
| Neji et al( | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 90 |
| Iheanacho et al | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 60 |
| Adeoti et al ( | 1 | 0.5 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 65 |
| Osime et al ( | 1 | 1 | 0.5 | 1 | 0 | 1 | 0 | 0 | 0.5 | 1 | 60 |
| Aderounmu et al ( | 1 | 1 | 1 | 0.5 | 0 | 1 | 0 | 1 | 1 | 1 | 75 |
| Bellgam et al( | 1 | 0.5 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 75 |
| Sambo et al( | 0.5 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0.5 | 1 | 60 |
| Ajayi et al( | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 70 |
Quality assessment legend: 100=> excellent, 80–99=> high, 70–79=>moderate high, 60–69=>marginal, <60 => low