A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario

Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Cordeiro, Erin [verfasserIn] Dixon, Matthew [verfasserIn] Coburn, Natalie [verfasserIn] Holloway, Claire M. B. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	Wait Time Income Quintile Average Wait Time Diagnostic Pathway Ontario Health Insurance Plan

Übergeordnetes Werk:	Enthalten in: Annals of surgical oncology - Berlin [u.a.] : Springer, 1994, 22(2015), 8 vom: 07. Jan., Seite 2509-2516
Übergeordnetes Werk:	volume:22 ; year:2015 ; number:8 ; day:07 ; month:01 ; pages:2509-2516

Links:	Volltext

DOI / URN:	10.1245/s10434-014-4320-3

Katalog-ID:	SPR009972528

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520			\|a Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times.
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author_variant	e c ec m d md n c nc c m b h cmb cmbh
matchkey_str	article:15344681:2015----::ptetetrdprahoatieiteugclaaeetfrata
hierarchy_sort_str	2015
bklnumber	44.81 44.65
publishDate	2015
allfields	10.1245/s10434-014-4320-3 doi (DE-627)SPR009972528 (SPR)s10434-014-4320-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl 44.65 bkl Cordeiro, Erin verfasserin aut A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times. Wait Time (dpeaa)DE-He213 Income Quintile (dpeaa)DE-He213 Average Wait Time (dpeaa)DE-He213 Diagnostic Pathway (dpeaa)DE-He213 Ontario Health Insurance Plan (dpeaa)DE-He213 Dixon, Matthew verfasserin aut Coburn, Natalie verfasserin aut Holloway, Claire M. B. verfasserin aut Enthalten in Annals of surgical oncology Berlin [u.a.] : Springer, 1994 22(2015), 8 vom: 07. Jan., Seite 2509-2516 (DE-627)343969947 (DE-600)2074021-9 1534-4681 nnns volume:22 year:2015 number:8 day:07 month:01 pages:2509-2516 https://dx.doi.org/10.1245/s10434-014-4320-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE 44.65 ASE AR 22 2015 8 07 01 2509-2516
spelling	10.1245/s10434-014-4320-3 doi (DE-627)SPR009972528 (SPR)s10434-014-4320-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl 44.65 bkl Cordeiro, Erin verfasserin aut A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times. Wait Time (dpeaa)DE-He213 Income Quintile (dpeaa)DE-He213 Average Wait Time (dpeaa)DE-He213 Diagnostic Pathway (dpeaa)DE-He213 Ontario Health Insurance Plan (dpeaa)DE-He213 Dixon, Matthew verfasserin aut Coburn, Natalie verfasserin aut Holloway, Claire M. B. verfasserin aut Enthalten in Annals of surgical oncology Berlin [u.a.] : Springer, 1994 22(2015), 8 vom: 07. Jan., Seite 2509-2516 (DE-627)343969947 (DE-600)2074021-9 1534-4681 nnns volume:22 year:2015 number:8 day:07 month:01 pages:2509-2516 https://dx.doi.org/10.1245/s10434-014-4320-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE 44.65 ASE AR 22 2015 8 07 01 2509-2516
allfields_unstemmed	10.1245/s10434-014-4320-3 doi (DE-627)SPR009972528 (SPR)s10434-014-4320-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl 44.65 bkl Cordeiro, Erin verfasserin aut A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times. Wait Time (dpeaa)DE-He213 Income Quintile (dpeaa)DE-He213 Average Wait Time (dpeaa)DE-He213 Diagnostic Pathway (dpeaa)DE-He213 Ontario Health Insurance Plan (dpeaa)DE-He213 Dixon, Matthew verfasserin aut Coburn, Natalie verfasserin aut Holloway, Claire M. B. verfasserin aut Enthalten in Annals of surgical oncology Berlin [u.a.] : Springer, 1994 22(2015), 8 vom: 07. Jan., Seite 2509-2516 (DE-627)343969947 (DE-600)2074021-9 1534-4681 nnns volume:22 year:2015 number:8 day:07 month:01 pages:2509-2516 https://dx.doi.org/10.1245/s10434-014-4320-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE 44.65 ASE AR 22 2015 8 07 01 2509-2516
allfieldsGer	10.1245/s10434-014-4320-3 doi (DE-627)SPR009972528 (SPR)s10434-014-4320-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl 44.65 bkl Cordeiro, Erin verfasserin aut A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times. Wait Time (dpeaa)DE-He213 Income Quintile (dpeaa)DE-He213 Average Wait Time (dpeaa)DE-He213 Diagnostic Pathway (dpeaa)DE-He213 Ontario Health Insurance Plan (dpeaa)DE-He213 Dixon, Matthew verfasserin aut Coburn, Natalie verfasserin aut Holloway, Claire M. B. verfasserin aut Enthalten in Annals of surgical oncology Berlin [u.a.] : Springer, 1994 22(2015), 8 vom: 07. Jan., Seite 2509-2516 (DE-627)343969947 (DE-600)2074021-9 1534-4681 nnns volume:22 year:2015 number:8 day:07 month:01 pages:2509-2516 https://dx.doi.org/10.1245/s10434-014-4320-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE 44.65 ASE AR 22 2015 8 07 01 2509-2516
allfieldsSound	10.1245/s10434-014-4320-3 doi (DE-627)SPR009972528 (SPR)s10434-014-4320-3-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl 44.65 bkl Cordeiro, Erin verfasserin aut A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times. Wait Time (dpeaa)DE-He213 Income Quintile (dpeaa)DE-He213 Average Wait Time (dpeaa)DE-He213 Diagnostic Pathway (dpeaa)DE-He213 Ontario Health Insurance Plan (dpeaa)DE-He213 Dixon, Matthew verfasserin aut Coburn, Natalie verfasserin aut Holloway, Claire M. B. verfasserin aut Enthalten in Annals of surgical oncology Berlin [u.a.] : Springer, 1994 22(2015), 8 vom: 07. Jan., Seite 2509-2516 (DE-627)343969947 (DE-600)2074021-9 1534-4681 nnns volume:22 year:2015 number:8 day:07 month:01 pages:2509-2516 https://dx.doi.org/10.1245/s10434-014-4320-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE 44.65 ASE AR 22 2015 8 07 01 2509-2516
language	English
source	Enthalten in Annals of surgical oncology 22(2015), 8 vom: 07. Jan., Seite 2509-2516 volume:22 year:2015 number:8 day:07 month:01 pages:2509-2516
sourceStr	Enthalten in Annals of surgical oncology 22(2015), 8 vom: 07. Jan., Seite 2509-2516 volume:22 year:2015 number:8 day:07 month:01 pages:2509-2516
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Wait Time Income Quintile Average Wait Time Diagnostic Pathway Ontario Health Insurance Plan
dewey-raw	610
isfreeaccess_bool	false
container_title	Annals of surgical oncology
authorswithroles_txt_mv	Cordeiro, Erin @@aut@@ Dixon, Matthew @@aut@@ Coburn, Natalie @@aut@@ Holloway, Claire M. B. @@aut@@
publishDateDaySort_date	2015-01-07T00:00:00Z
hierarchy_top_id	343969947
dewey-sort	3610
id	SPR009972528
language_de	englisch
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This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. 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author	Cordeiro, Erin
spellingShingle	Cordeiro, Erin ddc 610 bkl 44.81 bkl 44.65 misc Wait Time misc Income Quintile misc Average Wait Time misc Diagnostic Pathway misc Ontario Health Insurance Plan A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario
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topic_title	610 ASE 44.81 bkl 44.65 bkl A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario Wait Time (dpeaa)DE-He213 Income Quintile (dpeaa)DE-He213 Average Wait Time (dpeaa)DE-He213 Diagnostic Pathway (dpeaa)DE-He213 Ontario Health Insurance Plan (dpeaa)DE-He213
topic	ddc 610 bkl 44.81 bkl 44.65 misc Wait Time misc Income Quintile misc Average Wait Time misc Diagnostic Pathway misc Ontario Health Insurance Plan
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title	A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario
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title_full	A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario
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journal	Annals of surgical oncology
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author_browse	Cordeiro, Erin Dixon, Matthew Coburn, Natalie Holloway, Claire M. B.
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title_sort	patient-centered approach to wait times in the surgical management of breast cancer in the province of ontario
title_auth	A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario
abstract	Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times.
abstractGer	Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times.
abstract_unstemmed	Background Wait time for breast cancer is an important contributor to cancer outcomes and patient satisfaction. This study sought to define a patient-centered wait time by measuring the time from the first abnormal imaging to definitive surgery. The authors hypothesized that multiple preoperative investigations significantly increase the patient-centered wait time. Methods A retrospective analysis of prospectively maintained databases at the Institute for Clinical and Evaluative Sciences in Ontario, Canada was performed. Women undergoing primary surgery for invasive breast cancer from 2003 to 2011 were evaluated. The median wait time between the first abnormal imaging and definitive surgery was calculated. Uni- and multivariable analyses were performed to identify characteristics of the patients, treating institution, and diagnostic pathway that contribute significantly to the patient-centered wait time. Results Our final cohort consisted of 42,179 patients: 31,837 (75 %) who had breast conserving surgery and 10,342 (25 %) who underwent mastectomy. The median wait time from the first abnormal imaging to definitive surgery was 52 days (intraquartile range 35–76 days). In adjusted analysis, older patient age, later year of surgery, additional preoperative imaging, and biopsies beyond those required for diagnosis significantly and independently extended the surgical wait time. Preoperative consultations and institutional factors such as volume of breast surgery performed and geographic location also independently had an impact on surgical wait time. Conclusions This study defined a novel patient-centered measure of surgical wait time that more fully embraces the wait experienced by the patient. Many common preoperative interventions had a significant impact on overall wait time experienced by the patient. Evidence-based quality initiatives to coordinate appropriate investigations are needed to reduce wait times.
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container_issue	8
title_short	A Patient-Centered Approach to Wait Times in the Surgical Management of Breast Cancer in the Province of Ontario
url	https://dx.doi.org/10.1245/s10434-014-4320-3
remote_bool	true
author2	Dixon, Matthew Coburn, Natalie Holloway, Claire M. B.
author2Str	Dixon, Matthew Coburn, Natalie Holloway, Claire M. B.
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hochschulschrift_bool	false
doi_str	10.1245/s10434-014-4320-3
up_date	2024-07-04T03:44:17.079Z
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