2013
DOI: 10.3747/co.20.1293
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Factors Influencing the Quality of Local Management of Ductal Carcinoma In Situ: A Cohort Study

Abstract: those living far from a designated breast care centre or having a low-case-volume surgeon were less likely to be considered for rt.

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Cited by 3 publications
(9 citation statements)
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“…Inter-hospital comparison revealed a large variability among providers (from 65.9 to 90.3%) and low values for the three Tuscan teaching hospitals, surprising professionals themselves. Indeed, the finding of slightly lower proportions of BCS in high-complexity hospitals, which usually have high caseloads, is apparently counterintuitive and in contrast with the literature reporting that higher volumes are positively associated with better practices and outcomes [ 19 ] and in particular with a better chance of receiving a conservative intervention [ 20 22 ].…”
Section: Introductionmentioning
confidence: 91%
“…Inter-hospital comparison revealed a large variability among providers (from 65.9 to 90.3%) and low values for the three Tuscan teaching hospitals, surprising professionals themselves. Indeed, the finding of slightly lower proportions of BCS in high-complexity hospitals, which usually have high caseloads, is apparently counterintuitive and in contrast with the literature reporting that higher volumes are positively associated with better practices and outcomes [ 19 ] and in particular with a better chance of receiving a conservative intervention [ 20 22 ].…”
Section: Introductionmentioning
confidence: 91%
“…Women were more likely to be referred to one of the cancer centres if they were younger, have fewer comorbid conditions, and lived closer to a cancer centre. Similarly, in a study of 4139 women with DCIS diagnosed between 1998 and 2005, Krotneva, et al reported that age and distance from a cancer centre influenced the probability of referral [ 17 ]. Our study showed that women referred after surgery were more likely to receive RT after BCS and experienced higher MFS, BCSS, and OS compared to non-referred women, despite having higher risk pathologic features.…”
Section: Discussionmentioning
confidence: 99%
“…Thirty studies used GIS to associate geographic measures to patient and/or health system outcomes (Table 4), such as incidence, latency for diagnosis, tumor size at diagnosis, use of primary surgery, RT utilization/interruption, delay in RURs decreased with increasing distances to nearest RT centers. This was demonstrated for palliative RT, 40,51 adjuvant RT for breast cancer, 3,4,34,35,39,45,46,[49][50][51]59,60 rectal cancer, 4,22,40,49,60,61 lung cancer, 4,22,34,40,49,51,60 colon cancer, 47,49 and prostate cancer. 22,49,60 Regional differences were noted in Norway, Australia, the United Kingdom, and the United States.…”
Section: Gis Used To Analyze Health Systems or Patient Outcomesmentioning
confidence: 91%
“…Twenty-four studies used GIS to describe geographic accessibility to RT (Table 3), measured via travel distance 5,[34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49] and travel time 3,4,20,22,35,36,45,48,[50][51][52][53][54][55] to nearest RT centers. These were calculated on the basis of travel by road, 3,4,20,22,[34][35][36]38,40,[42][43][44][45][46][47][48][49][50][51]…”
Section: Gis Used To Describe Geographic Accessibility To Rtmentioning
confidence: 99%
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