| Literature DB >> 27687897 |
Abdul Malik Tun Firzara1, Chirk Jenn Ng1.
Abstract
OBJECTIVE: Screening for prostate cancer remains controversial. General practitioners (GPs) play an important role in assisting men to make an informed decision on prostate cancer screening. The aim of this study was to determine the knowledge and practice of prostate cancer screening among private GPs in Malaysia.Entities:
Keywords: PREVENTIVE MEDICINE; PRIMARY CARE
Year: 2016 PMID: 27687897 PMCID: PMC5051492 DOI: 10.1136/bmjopen-2016-011467
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Profile of general practitioners and their practices
| Characteristics of respondents | N (%) /mean/median |
|---|---|
| Gender | |
| Male | 128 (65.3%) |
| Age | |
| Mean age±SD (years) (range) | 48.3±11.4 (26–83) |
| Length of practice | |
| Mean age±SD (years) (range) | 15.8±10.7 (0.5–53) |
| Median (years) | 15 |
| GPs with postgraduate qualifications | 53 (27.0%) |
| Number of GPs in practice | |
| Mean±SD (range) | 3.0±2.8 (1–16) |
| Median | 2 |
| Number of patients in a day | |
| Mean±SD (range) | 36.01±18.2 (4–90) |
| Median | 30 |
GPs, general practitioners.
GPs' knowledge of prostate cancer risk factors
| Knowledge of risk factors | Number who answered correctly (n=196) | Per cent |
|---|---|---|
| Increased age (over 50 years) (increases risk) | 191 | 97.4 |
| 1st degree relative with prostate cancer (increases risk) | 162 | 82.7 |
| 1st degree relative with breast cancer (increases risk) | 61 | 31.1 |
| Benign prostatic hyperplasia (does not affect risk) | 43 | 21.9 |
| Current smoking (does not affect risk) | 36 | 18.4 |
| High dietary fat intake (does not affect risk) | 35 | 17.9 |
GPs, general practitioners.
GPs' knowledge of positive predictive value of prostate cancer screening methods
| Knowledge of PPV | Number (n=196) | Per cent |
|---|---|---|
| PPV of PSA | ||
| Correct estimation <30% | 54 | 27.6 |
| Overestimate >30% | 124 | 63.3 |
| Not sure | 18 | 9.2 |
| PPV of DRE | ||
| Correct estimation <30% | 50 | 25.5 |
| Overestimate >30% | 111 | 56.6 |
| Not sure | 35 | 17.9 |
| PPV of PSA and DRE | ||
| Correct estimation <50% | 47 | 24.0 |
| Overestimate >50% | 126 | 64.3 |
| Not sure | 23 | 11.7 |
GPs, general practitioners; DRE, digital rectal examination; PSA, prostrate-specific antigen; PPV, positive predictive value.
Logistic regression analysis: factors associated with the propensity of GPs to screen asymptomatic men for prostate cancer
| Factors | Propensity to screen N (%) | Unadjusted OR (95% CI) | p Value | Adjusted OR (95% CI) | p Value |
|---|---|---|---|---|---|
| Age group | |||||
| <40 | 16/47 (34.0) | 1 | 1 | ||
| 40–60 | 59/115 (51.3) | 2.04 (1.01 to 4.13) | 1.09 (0.33 to 3.62) | 0.88 | |
| >60 | 22/34 (64.7) | 3.55 (1.41 to 8.97) | 1.82 (0.32 to 10.42) | 0.50 | |
| Gender | |||||
| Male | 64/128 (50.0) | 1.06 (0.59 to 1.91) | 0.85 | ||
| Female | 33/68 (48.5) | 1 | |||
| Length of practice (years) | |||||
| ≤10 | 25/70 (35.7) | 1 | 1 | 0.11 | |
| 11–20 | 43/79 (54.4) | 2.15 (1.11 to 4.16) | 2.44 (0.82 to 7.23) | 0.41 | |
| 21–30 | 19/30 (63.3) | 3.11 (1.28 to 7.56) | 1.81 (0.44 to 7.47) | 0.68 | |
| >30 | 10/17 (58.8) | 2.57 (0.87 to 7.59) | 1.49 (0.23 to 9.54 | ||
| PPV of PSA | |||||
| <30% (correct) | 29/54 (53.7) | 1 | 0.55 | ||
| Overestimate | 61/124 (49.2) | 0.55 (0.19 to 1.63) | |||
| Not sure | 7/18 (38.9) | 0.66 (0.24 to 1.81) | |||
| PPV of DRE | |||||
| <30% (correct) | 24/50 (48.0) | 1 | 0.61 | ||
| Overestimate | 58/111 (52.2) | 0.81 (0.34 to 1.94) | |||
| Not sure | 15/35 (42.8) | 0.69 (0.32 to 1.47) | |||
| PPV of PSA and DRE | |||||
| <50% (correct) | 25/47 (53.2) | 1 | 0.74 | ||
| Overestimate | 62/126 (49.2) | 0.68 (0.25 to 1.85) | |||
| Not sure | 10/23 (43.4) | 0.79 (0.32 to 1.94) | |||
| No | 2/13 (15.4) | 1 | 1 | ||
| Yes | 65/115 (56.5) | 7.3 (1.55 to 34.43) | 6.88 (1.40 to 33.73) | ||
*Among male participants.
**p<0.05.
GPs, general practitioners; DRE, digital rectal examination; PSA, prostrate-specific antigen; PPV, positive predictive value.