Literature DB >> 31342368

Improving Wait Times and Patient Experience Through Implementation of a Provincial Expedited Diagnostic Pathway for BI-RADS 5 Breast Lesions.

Alison Laws1, Alysha Crocker2, Joseph Dort1,3,4, David Olson5, Adam Elwi6, Susan Anderes6, Shannon Parker6, Angela Estey1, Alysha Keehn1,4, May Lynn Quan7,8,9,10.   

Abstract

BACKGROUND: Long diagnostic intervals following abnormal breast imaging (DI) cause patient anxiety and possibly poorer prognosis. This study evaluates the effect of a provincial diagnostic pathway for BI-RADS 5 lesions on wait times and the patient-reported experience (PRE).
METHODS: With multidisciplinary input, we developed a pathway for BI-RADS 5 lesions featuring expedited biopsy, early surgical referral, and nurse (RN) navigator support. Key diagnostic intervals were captured prospectively and compared with a prepathway control cohort. PRE data were obtained from a voluntary survey.
RESULTS: 1205 patients were managed on the BI-RADS 5 pathway with 797 primary care physicians, 57 imaging centers, and 2 regional breast programs participating. Median duration from DI to biopsy was 6 days, from biopsy to pathology report was 5 days, DI to surgical referral was 6 days, and DI to surgical consult was 21 days. Compared with 128 prepathway controls, median intervals from DI to surgical referral and consult were significantly improved (15 vs. 6 days, 26 vs. 21 days, p < 0.001). Amongst 294 women who completed the survey, 92% experienced ≥ 1 anxiety complaint during assessment; prompt surgical consultation and multiple features of RN support reduced anxiety, and wait time satisfaction was high (70%). Patient preferences varied for receiving biopsy results from a surgeon (57%) vs. another provider (43%).
CONCLUSIONS: A diagnostic pathway for BI-RADS 5 lesions reduced wait times and improved the patient experience through prompt surgical referral and RN navigator support. Differing preferences for receiving biopsy results emerged, and future iterations should incorporate individualized patient wishes.

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Year:  2019        PMID: 31342368     DOI: 10.1245/s10434-019-07558-7

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  3 in total

1.  Cancer Strategic Clinical Network: Improving cancer care in Alberta.

Authors:  Tara R Bond; Angela Estey; Adam Elwi
Journal:  CMAJ       Date:  2019-12-04       Impact factor: 8.262

2.  Physician perspectives on delays in cancer diagnosis in Alberta: a qualitative study.

Authors:  Anna Pujadas Botey; Kathy GermAnn; Paula J Robson; Barbara M O'Neill; Douglas A Stewart
Journal:  CMAJ Open       Date:  2021-11-30

3.  Improving breast cancer care coordination and symptom management by using AI driven predictive toolkits.

Authors:  E C Moser; Gayatri Narayan
Journal:  Breast       Date:  2020-01-21       Impact factor: 4.380

  3 in total

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