| Literature DB >> 18492286 |
Yuichi Katsumura1, Hideo Yasunaga, Tomoaki Imamura, Kazuhiko Ohe, Hiroshi Oyama.
Abstract
BACKGROUND: Although the fecal occult blood test (FOBT) is the preferred program for colorectal cancer screening in Japan, many medical institutions have recently begun to provide total colonoscopy (TCS) as an initial screening program. However, there are a number of severe risks associated with TCS, such as colorectal bleeding and perforation. The justification for performing such a procedure on healthy patients remains unclear. We used the analytic hierarchy process (AHP) to investigate whether risk information on TCS affects patient preferences for colorectal cancer screening.Entities:
Mesh:
Year: 2008 PMID: 18492286 PMCID: PMC2412845 DOI: 10.1186/1472-6963-8-106
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Figure 1The decision-making model.
Sample Characteristics (n = 353)
| Parameters | Included subjects (n = 285) | Excluded subjects (n = 68) | ||
| Group A (n = 146) | Group B (n = 139) | Group A (n = 30) | Group B (n = 38) | |
| Sex | ||||
| Male | 71 (49%) | 63 (45%) | 16 (53%) | 23 (61%) |
| Female | 75 (51%) | 76 (55%) | 14 (47%) | 15 (39%) |
| Age (average ± SD) | 48.6 ± 6.0 | 48.7 ± 5.4 | 50.1 ± 5.8 | 48.2 ± 5.3 |
| Concerns about own health | ||||
| Concerned a lot | 58 (40%) | 46 (33%) | 10 (33%) | 11 (29%) |
| Concerned a little | 50 (34%) | 53 (38%) | 12 (40%) | 19 (50%) |
| Not concerned at all | 38 (26%) | 40 (29%) | 8 (27%) | 8 (21%) |
| Annual household income | ||||
| Low (<US$59,999) | 35 (24%) | 46 (33%) | 12 (40%) | 14 (37%) |
| Medium (US$60,000 – 119,999) | 76 (52%) | 58 (42%) | 13 (43%) | 17 (45%) |
| High (>US$120,000) | 14 (10%) | 11 (8%) | 3 (10%) | 3 (8%) |
| No answer given | 21 (14%) | 24 (17%) | 2 (7%) | 4 (11%) |
| Experience of hospital admission | ||||
| None | 52 (36%) | 54 (39%) | 16 (53%) | 10 (26%) |
| 1 admission | 43 (29%) | 31 (22%) | 5 (17%) | 9 (24%) |
| 2 admissions | 22 (15%) | 31 (22%) | 6 (20%) | 10 (26%) |
| 3 or more admissions | 26 (18%) | 22 (16%) | 3 (10%) | 8 (21%) |
| No answer given | 3 (2%) | 1 (1%) | 0 (0%) | 1 (3%) |
| Experience of FOBT: Yes | 83 (57%) | 81 (58%) | 20 (67%) | 23 (61%) |
| Experience of TCS: Yes | 24 (16%) | 30 (22%) | 8 (27%) | 5 (13%) |
Results of comparison between FOBT and TCS (aggregated weights and priorities)
| Criterion | Group A | Group B | ||||||
| Global priority | Local priority | FOBT weight | TCS weight | Global priority | Local priority | FOBT weight | TCS weight | |
| Major criteria | ||||||||
| Effectiveness | 0.603 | 0.220 | 0.780 | 0.652 | 0.202 | 0.798 | ||
| Costs | 0.147 | 0.830 | 0.170 | 0.149 | 0.839 | 0.161 | ||
| Avoid disadvantages | 0.250 | 0.501 | 0.499 | 0.199 | 0.455 | 0.545 | ||
| Subcriteria of 'effectiveness' | ||||||||
| Mortality reduction rates | 0.393 | 0.652 | 0.237 | 0.763 | 0.471 | 0.723 | 0.225 | 0.775 |
| Detection rates | 0.210 | 0.348 | 0.187 | 0.813 | 0.181 | 0.277 | 0.192 | 0.808 |
| Subcriteria of 'costs' | ||||||||
| Time cost | 0.071 | 0.482 | 0.828 | 0.172 | 0.071 | 0.479 | 0.817 | 0.183 |
| Out-of-pocket payment | 0.076 | 0.518 | 0.832 | 0.168 | 0.078 | 0.521 | 0.832 | 0.168 |
| Subcriteria of 'avoid disadvantages' | ||||||||
| Complications | 0.163 | 0.650 | 0.670 | 0.330 | 0.092 | 0.461 | 0.790 | 0.210 |
| False positives/negatives | 0.088 | 0.250 | 0.185 | 0.815 | 0.107 | 0.539 | 0.168 | 0.832 |
| Subcriteria of 'avoid false positives/negatives' | ||||||||
| False positives | 0.062 | 0.706 | 0.186 | 0.814 | 0.076 | 0.711 | 0.180 | 0.820 |
| False negatives | 0.026 | 0.294 | 0.182 | 0.818 | 0.031 | 0.289 | 0.177 | 0.823 |
Global priority of each subcriterion = local priority of each subcriterion * priority of the parent criterion. e.g., global priority of mortality reduction rates in Group A = 0.652*0.603 = 0.393.
Weight of the parent criterion is the sum of (weight * local priority) of each subcriterion. e.g., FOBT weight of effectiveness in Group A = 0.237*0.652+0.187*0.348 = 0.220.
Overall priority is the sum of (weight * local priority) of each major criterion.
Overall priority of FOBT in Group A = 0.220*0.603+0.830*0.147+0.501*0.250 = 0.380.
Overall priority of TCS in Group A = 0.780*0.603+0.170*0.147+0.499*0.250= 0.620.
Overall priority of FOBT in Group B = 0.202*0.652+0.839*0.149+0.455*0.199= 0.348.
Overall priority of TCS in Group B = 0.798*0.652+0.161*0.149+0.545*0.199 = 0.652.
Logistic regression analysis (1: FOBT, 0: TCS)
| Independent variables | Odds ratio | 95% confidence interval | P value |
| Group (A: 1, B: 0) | 0.443 | 0.200–0.931 | 0.036 |
| Sex (male: 1, female: 0) | 1.398 | 0.681–2.915 | 0.364 |
| Age | 1.018 | 0.301–3.405 | 0.977 |
| Concerns about own health | 1.438 | 0.347–5.582 | 0.605 |
| Annual household income | 0.693 | 0.141–3.377 | 0.649 |
| Experience of hospital admission | 2.073 | 0.786–5.485 | 0.139 |
| Experience of FOBT (Yes: 1, No: 0) | 2.202 | 1.001–5.041 | 0.054 |
| Experience of TCS (Yes: 1, No: 0) | 1.370 | 0.427–5.308 | 0.616 |
R2 = 0.690