| Literature DB >> 31885578 |
Samira S Abo Al-Shiekh1, Yasser S Alajerami2, Bothyna B Etewa3, Aymen M Elsous4,5.
Abstract
BACKGROUND: Breast cancer is a major public health problem and the first leading cause of cancer deaths among females in Palestine. Early diagnosis of breast cancer contributes to reduction of morbidity and mortality rates. This study aimed to explore system-related factors affecting the timely diagnosis of breast cancer in the Gaza Strip. METHOD AND MATERIALS: A mixed method, sequential explanatory design was employed. A quantitative study was conducted first, and it was cross-sectional in nature, followed by a qualitative study. An interviewed questionnaire and an abstraction sheet were used to collect necessary quantitative data among 122 females diagnosed with breast cancer. A purposive sample of five medical specialists were selected for in-depth interview. Descriptive and inferential analyses were used to find differences between variables. Odds ratio and confidence interval at 95% were presented, and P < 0.05 was considered statistically significant.Entities:
Year: 2019 PMID: 31885578 PMCID: PMC6927013 DOI: 10.1155/2019/5690938
Source DB: PubMed Journal: J Oncol ISSN: 1687-8450 Impact factor: 4.375
Demographic characteristics of study participants (N = 122).
| Variable |
| |
|---|---|---|
| Age groups | <40 | 19 (15.6) |
| 40–49 | 36 (29.5) | |
| 50–59 | 33 (27) | |
| 60–69 | 22 (18) | |
| 70 and more | 12 (9.9) | |
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| ||
| Place of residence | North Gaza | 17 (13.9) |
| Gaza | 56 (45.9) | |
| Middle zone | 24 (19.7) | |
| Khan Younis | 15 (12.3) | |
| Rafah | 10 (8.2) | |
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| Marital status | Single | 12 (9.8) |
| Married | 84 (68.9) | |
| Others | 26 (21.3) | |
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| Level of education | Primary and less (0–6 classes) | 29 (23.8) |
| Preparatory or secondary (7–12 classes) | 62 (50.8) | |
| University and above | 31 (25.4) | |
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| Employment status | Yes | 24 (19.7) |
| No | 98 (80.3) | |
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| Income (NIS | >1000 NIS | 59 (51.3) |
| 1000–2290 NIS | 32 (27.8) | |
| ≥2290 NIS | 24 (20.9) | |
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| Presence of health insurance | Yes | 118 (96.7) |
| No | 4 (3.3) | |
NIS: new Israeli shekel.
Distribution of cases by potential delay categories.
| Type of delay | Category | Frequency (%) |
|---|---|---|
| Diagnostic delay, | ≥3 months | 15 (12.3) |
| Referral delay, | <14 days | 8 (6.6) |
| Mammography delay, | <7 days | 10 (8.2) |
| U/S delay, | <7 days | 3 (2.7) |
| Biopsy delay, | <14 days | 29 (25.9) |
| Histopathology delay, | <14 days | 56 (46.3) |
Figure 1Referral process of suspected BC patients to imaging exams.
Referral of suspected BC patients to diagnosis (N = 122).
| Variable |
| |
|---|---|---|
| Number of counseling times before referral to imaging service | 1 time | 49 (40.2) |
| 2-3 times | 52 (42.6) | |
| ≥4 times | 19 (15.6) | |
| Did not counsel | 2 (1.6) | |
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| ||
| Utilized diagnostic modalities | Mammography + U/S + biopsy | 79 (64.8) |
| U/S + biopsy | 30 (24.6) | |
| Mammography + biopsy | 12 (9.8) | |
| Only biopsy | 1 (0.8) | |
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| Ranking for utilized imaging modalities | Combined mammography and U/S-biopsy | 32 (26.3) |
| Mammography-U/S-Biopsy | 31 (25.4) | |
| U/S-biopsy | 29 (23.8) | |
| U/S-mammography-biopsy | 14 (11.5) | |
| Mammography-biopsy | 10 (8.2) | |
| Biopsy-U/S | 2 (1.6) | |
| U/S-biopsy-mammography | 2 (1.6) | |
| Biopsy | 1 (0.8) | |
| U/S-biopsy-combined mammography and U/S | 1 (0.8) | |
Relationship between diagnostic delay and demographic variables.
| Variable | Categories | Diagnostic delay | OR with CI |
| |
|---|---|---|---|---|---|
| Delayers ≥3 months | Nondelayers <3 months | ||||
| Age | <40 | 18 (16.8) | 76 (40.0) | 2.7 (1.07–6.9) | 0.045 |
| ≥40 | 9 (60.0) | 89 (83.2) | |||
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| Place of residence | North Gaza | 2 (1.6) | 15 (12.3) | 0.47 (0.02–10.27) | 0.64 |
| Gaza | 7 (5.7) | 49 (40.2) | 1.42 (0.12–16.57) | 0.78 | |
| Middle zone | 4 (3.3) | 20 (16.4) | 2.18 (0.15–31.98) | 0.57 | |
| Khan Younis | 1 (0.8) | 14 (11.5) | 0.4 (0.02–8.54) | 0.56 | |
| Rafah | 1 (0. 8) | 9 (7.4) | Ref. | ||
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| Income | <1000 NIS | 10 (83.4) | 49 (47.6) | 12.17 (1.23–120.43) | 0.03 |
| 1000–2290 NIS | 1 (8.3) | 31 (30.1) | 0.79 (0.04–14.11) | 0.87 | |
| ≥2290 NIS | 1 (8.3) | 23 (22.3) | Ref. | ||
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| Level of education | Primary and less (0–6 classes) | 0 (0.0) | 29 (23.8) | Ref. | |
| Preparatory or secondary (7–12 classes) | 9 (7.4) | 53 (43.4) | 1.1 (1–1.2) | 0.053 | |
| University and above | 6 (4.9) | 25 (20.5) | 1.2 (1.04–1.47) | 0.015 | |
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| A family history of BC | No | 9 (60.0) | 72 (67.3) | 1.3 (0.45–4.1) | 0.39 |
| Yes | 6 (40.0) | 35 (32.7) | |||
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| Mammography findings | Malignant findings | 6 (6.8) | 11 (12.5) | 8.3 (2.3–30) | 0.001 |
| Nonmalignant findings | 3 (3.4) | 68 (77.3) | |||
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| U/S Findings | Malignant findings | 9 (64.3) | 85 (90.4) | 3.73 (1.4–9.5) | 0.018 |
| Nonmalignant findings | 5 (35.7) | 9 (9.6) | |||
Statistically significant; ∋Fisher's exact test; NIS: new Israeli shekel.