| Literature DB >> 28192444 |
Cynthia Pomaa Akuoko1, Ernestina Armah1, Theresa Sarpong1, Dan Yedu Quansah2, Isaac Amankwaa3, Daniel Boateng4,5.
Abstract
BACKGROUND: Breast cancer (BC) has been described as the leading cause of cancer deaths among women especially in the developing world including sub Saharan Africa (SSA). Delayed presentation and late diagnosis at health facilities are parts of the contributing factors of high BC mortality in Africa. This review aimed to appraise the contributing factors to delayed breast cancer presentation and diagnosis among SSA women.Entities:
Mesh:
Year: 2017 PMID: 28192444 PMCID: PMC5305236 DOI: 10.1371/journal.pone.0171024
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow chart for citations reviewed during different phases of the systematic review.
Fig 2Type of included studies per publication year.
Details of qualitative study included in the review.
| Authors, country of study | Methods | Participants/ | Findings | Quality |
|---|---|---|---|---|
| Focus group Interview, framework analysis | Females rural & urban, Kenyans (20-60years) | Good | ||
| • ↓ level of awareness in BC | ||||
| Sampling: Convenience/purposive | ||||
| Size: 6–7 in 4 groups | ||||
| • Wrong perception of early detection benefits | ||||
| In-depth interviews | Breast cancer patients | Good | ||
| Sampling: Purposive | (>18years), Urban | • ↓ knowledge of BC prior to diagnosis | ||
| Size: 12 | ||||
| • Health practitioners lack of seriousness about breast cancer |
Details of quantitative and mixed method studies included in the review.
| Authors | Methods | Participants | Findings | Quality |
| Cross-sectional, interview administered questionnaire, SPSS Sampling: Convenient, Purposive; Size: 1194 | Females Nigerians, Rural (20-45years) | Fair | ||
| Cross-sectional survey, interview administered questionnaire, x2 analysis; Sampling: Random; Size: 393 | Females doctors, nurses, pharmacists, lab scientists, radiologist, Nigerians (>20years) | Good | ||
| Cross-sectional survey, interview administered questionnaire, SPSS, x2 analysis Sampling: Purposive; Size: 281 | Females traders Nigerians (16–80years) | Fair | ||
| Survey, interview administered questionnaire; Sampling: Convenience purposive; Size: 101 | Females Ghanaians (20-84years) | Fair | ||
| Correlational survey. Self-administered questionnaire, Pearson x2, Spearman’s rho; Sampling: Convenience purposive; Size: 565 | Females, South African women (>18years) | Fair | ||
| Cross-sectional survey, interview administered; Sampling: Random; Size: 1000 | Females semi-urban community (15-91years) | Good | ||
| Survey, interview administered questionnaire Sampling: Multistage random; Size 420 | Females, rural setting (20–60years) | Fair | ||
| Survey, interview administered, x2 multivariate & 3-way analysis of variance Sampling: Random Size 140 | Females, rural and urban setting (21-59years) | Fair | ||
| Cross-sectional Sampling: All patients studied; Size: 201 | Breast cancer patients, Urban; (23-104years) | Good | ||
| Cross-sectional, standardized questionnaire; Sampling: Convenient and consecutive; Size: 120 | Adults > = 20years, Semi-Urban | Good | ||
| Cross-sectional; Sampling: Purposive, stratified and simple; Size: 365 | Women in reproductive age (19-49years), | Fair | ||
| Quantitative survey; Sampling: Convenient; Size: 299 | Women presenting at CC and BC prevention &screening project, (> = 18 years), Rural | Fair | ||
| Quantitative survey; Sampling: Convenient; Size: 299 | Outpatients at government-supported hospitals (18-55years), Urban | Good | ||
| Cross-sectional; Sampling: All participants; Size: 365 | 159 (144 involved in analysis) | Good | ||
| Cross-sectional; Cluster and systematic sampling; Size: 500; Quantitative -474 | General population (40-70years), Urban | Good |
Summary of barriers late presentation and diagnosis of BC.
| Barriers | Number of studies (n = 17) | Percentage |
|---|---|---|
| • Limited knowledge of BC | 13 | 76.4 |
| • Limited knowledge of screening practices (BSE, CBE, mammography) | 5 | 29.4 |
| • Misconceptions, misinformation, lack of information | 8 | 47.1 |
| 8 | 47.1 | |
| • Limited screening facilities in community | 1 | 5.8 |
| • Poor health attitude | 1 | 5.8 |
| 3 | 17.6 | |
| • Age | 2 | 11.8 |
| • Education | 4 | 23.5 |
| • Marital status | 1 | 5.8 |
| • Residence | 1 | 5.8 |
| • Pre-menopausal | 1 | 5.8 |
| • Fear of cancer diagnosis, death, stigma, diagnosis procedure | 5 | 29.4 |
| • Belief in other sources of treatment | 4 | 23.5 |
| • Gender roles and household decision making | 1 | 5.8 |
Personal reasons for late presentation/ diagnosis.
| Reasons | Pace et al [ | Opoku, Benwell &Yarney [ | Azubuike &Okwuokei [ | Ibrahim & Oludara [ | Okobia et al [ | Clegg-Lamptey et al | Muthoni& Miller [ |
|---|---|---|---|---|---|---|---|
| Not bothered to check | x | ||||||
| Ignorance of nature of disease | x | x | x | x | |||
| Financial constraints | x | x | x | x | x | ||
| Belief in alternative treatment | x | x | |||||
| Busy/forgot | x | x | |||||
| Fear of having cancer/death | x | x | x | x | x | ||
| Fear of stigma | x | ||||||
| Unaware of appropriate facilities / procedures | x | x | x | x | |||
| Health Inaccessibility | x | ||||||
| Fear of being examined (unwilling to expose body) | x | x | x | ||||
| Not referred | x | ||||||
| Fear of procedure | x | x | x | ||||
| Attitude of health staff | x | ||||||
| Culture interferences | x |
Source of Breast Cancer Information.
| Source | OKobia et al, 2006 [ | Oluwatosin&Oladepo, 2006 [ | Maree & Wright 2010 [ | Opoku, Benwell & Yarney, 2012 [ | Morse [ |
|---|---|---|---|---|---|
| Healthcare professionals | 21.1% | 4.4% | 6.75 | 13.9% | 7.1% |
| Primary healthcare | - | - | 30.7% | - | - |
| Cancer awareness group | 6.0% | - | 3.9% | - | - |
| Feminist organisation group | 6.7% | - | - | - | - |
| Supervisors of breast cancer | - | 5.2% | - | 4.7% | - |
| Television | 31.0% | 5.4% | 13.9% | - | |
| Radio | - | - | 20.6% | 20.5% | 36.4% |
| Leaflets/newspaper | 27.1% | - | - | 39.8% | 0.9%/1.8% |
| Elders/Friends/Neighbours | - | 15.4% | - | 5.1% | 8.9% |
| Church /Religious organisation | 8.1% | - | - | 6.5% | - |
| Family members | - | - | - | 7.8% | - |
*Nurses and midwives
**doctors