Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys
Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stag...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zylla, Dylan M. [verfasserIn] Gilmore, Grace E. [verfasserIn] Steele, Grant L. [verfasserIn] Eklund, Justin P. [verfasserIn] Wood, Christina M. [verfasserIn] Stover, Angela M. [verfasserIn] Shapiro, Alice C. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Supportive care in cancer - Berlin : Springer, 1993, 28(2019), 7 vom: 08. Nov., Seite 3153-3163 |
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| Übergeordnetes Werk: |
volume:28 ; year:2019 ; number:7 ; day:08 ; month:11 ; pages:3153-3163 |
| Links: |
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| DOI / URN: |
10.1007/s00520-019-05109-0 |
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| Katalog-ID: |
SPR039860582 |
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| 520 | |a Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. Monitoring symptoms in real time may soon become part of standard oncology practice and requires seamless methods for collection. | ||
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| 700 | 1 | |a Gilmore, Grace E. |e verfasserin |4 aut | |
| 700 | 1 | |a Steele, Grant L. |e verfasserin |4 aut | |
| 700 | 1 | |a Eklund, Justin P. |e verfasserin |4 aut | |
| 700 | 1 | |a Wood, Christina M. |e verfasserin |4 aut | |
| 700 | 1 | |a Stover, Angela M. |e verfasserin |4 aut | |
| 700 | 1 | |a Shapiro, Alice C. |e verfasserin |4 aut | |
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10.1007/s00520-019-05109-0 doi (DE-627)SPR039860582 (SPR)s00520-019-05109-0-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Zylla, Dylan M. verfasserin aut Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. Monitoring symptoms in real time may soon become part of standard oncology practice and requires seamless methods for collection. Electronic patient-reported outcomes (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Symptoms (dpeaa)DE-He213 Gilmore, Grace E. verfasserin aut Steele, Grant L. verfasserin aut Eklund, Justin P. verfasserin aut Wood, Christina M. verfasserin aut Stover, Angela M. verfasserin aut Shapiro, Alice C. verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 28(2019), 7 vom: 08. Nov., Seite 3153-3163 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:28 year:2019 number:7 day:08 month:11 pages:3153-3163 https://dx.doi.org/10.1007/s00520-019-05109-0 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 28 2019 7 08 11 3153-3163 |
| spelling |
10.1007/s00520-019-05109-0 doi (DE-627)SPR039860582 (SPR)s00520-019-05109-0-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Zylla, Dylan M. verfasserin aut Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. Monitoring symptoms in real time may soon become part of standard oncology practice and requires seamless methods for collection. Electronic patient-reported outcomes (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Symptoms (dpeaa)DE-He213 Gilmore, Grace E. verfasserin aut Steele, Grant L. verfasserin aut Eklund, Justin P. verfasserin aut Wood, Christina M. verfasserin aut Stover, Angela M. verfasserin aut Shapiro, Alice C. verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 28(2019), 7 vom: 08. Nov., Seite 3153-3163 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:28 year:2019 number:7 day:08 month:11 pages:3153-3163 https://dx.doi.org/10.1007/s00520-019-05109-0 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 28 2019 7 08 11 3153-3163 |
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10.1007/s00520-019-05109-0 doi (DE-627)SPR039860582 (SPR)s00520-019-05109-0-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Zylla, Dylan M. verfasserin aut Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. Monitoring symptoms in real time may soon become part of standard oncology practice and requires seamless methods for collection. Electronic patient-reported outcomes (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Symptoms (dpeaa)DE-He213 Gilmore, Grace E. verfasserin aut Steele, Grant L. verfasserin aut Eklund, Justin P. verfasserin aut Wood, Christina M. verfasserin aut Stover, Angela M. verfasserin aut Shapiro, Alice C. verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 28(2019), 7 vom: 08. Nov., Seite 3153-3163 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:28 year:2019 number:7 day:08 month:11 pages:3153-3163 https://dx.doi.org/10.1007/s00520-019-05109-0 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 28 2019 7 08 11 3153-3163 |
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10.1007/s00520-019-05109-0 doi (DE-627)SPR039860582 (SPR)s00520-019-05109-0-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Zylla, Dylan M. verfasserin aut Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. Monitoring symptoms in real time may soon become part of standard oncology practice and requires seamless methods for collection. Electronic patient-reported outcomes (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Symptoms (dpeaa)DE-He213 Gilmore, Grace E. verfasserin aut Steele, Grant L. verfasserin aut Eklund, Justin P. verfasserin aut Wood, Christina M. verfasserin aut Stover, Angela M. verfasserin aut Shapiro, Alice C. verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 28(2019), 7 vom: 08. Nov., Seite 3153-3163 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:28 year:2019 number:7 day:08 month:11 pages:3153-3163 https://dx.doi.org/10.1007/s00520-019-05109-0 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 28 2019 7 08 11 3153-3163 |
| allfieldsSound |
10.1007/s00520-019-05109-0 doi (DE-627)SPR039860582 (SPR)s00520-019-05109-0-e DE-627 ger DE-627 rakwb eng 610 ASE 44.81 bkl Zylla, Dylan M. verfasserin aut Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. Monitoring symptoms in real time may soon become part of standard oncology practice and requires seamless methods for collection. Electronic patient-reported outcomes (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Symptoms (dpeaa)DE-He213 Gilmore, Grace E. verfasserin aut Steele, Grant L. verfasserin aut Eklund, Justin P. verfasserin aut Wood, Christina M. verfasserin aut Stover, Angela M. verfasserin aut Shapiro, Alice C. verfasserin aut Enthalten in Supportive care in cancer Berlin : Springer, 1993 28(2019), 7 vom: 08. Nov., Seite 3153-3163 (DE-627)254909574 (DE-600)1463166-0 1433-7339 nnns volume:28 year:2019 number:7 day:08 month:11 pages:3153-3163 https://dx.doi.org/10.1007/s00520-019-05109-0 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_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 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_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.81 ASE AR 28 2019 7 08 11 3153-3163 |
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Enthalten in Supportive care in cancer 28(2019), 7 vom: 08. Nov., Seite 3153-3163 volume:28 year:2019 number:7 day:08 month:11 pages:3153-3163 |
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Supportive care in cancer |
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Zylla, Dylan M. @@aut@@ Gilmore, Grace E. @@aut@@ Steele, Grant L. @@aut@@ Eklund, Justin P. @@aut@@ Wood, Christina M. @@aut@@ Stover, Angela M. @@aut@@ Shapiro, Alice C. @@aut@@ |
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Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. 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Zylla, Dylan M. |
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610 ASE 44.81 bkl Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys Electronic patient-reported outcomes (dpeaa)DE-He213 Cancer (dpeaa)DE-He213 Symptoms (dpeaa)DE-He213 |
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collection of electronic patient-reported symptoms in patients with advanced cancer using epic mychart surveys |
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Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys |
| abstract |
Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. Monitoring symptoms in real time may soon become part of standard oncology practice and requires seamless methods for collection. |
| abstractGer |
Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. Monitoring symptoms in real time may soon become part of standard oncology practice and requires seamless methods for collection. |
| abstract_unstemmed |
Background Use of electronic patient-reported outcomes (ePROs) in routine cancer care can help identify troublesome symptoms and facilitate discussions between patients and clinicians and has been shown to improve patient satisfaction, quality of life, and survival. Methods Eighty patients with stage IV non-hematologic malignancies on chemotherapy participated. Patient-Reported Symptom Monitoring (PRSM) surveys were sent every 14 days via the Epic MyChart system over a 12-week period. Surveys were offered via phone or paper if patients failed to complete the automated MyChart survey by day 16. Severe symptoms or concerning symptom trends were automatically highlighted in reports for clinic staff. Patients reporting severe symptoms were routed to oncology nursing triage for standard symptom care management. Results Two hundred seventy-one surveys were sent during the 12-week study period. One hundred eighty-three surveys (66%) were completed, with 68% completed electronically via MyChart, 25% by paper, and 7% by phone call from a research coordinator. At least one severe symptom was reported on 36% of all surveys. However, most severe symptoms did not result in urgent triage follow-up because they were already being addressed and/or patients felt they were manageable. Patients and clinicians generally said the ePRO was efficient and helpful for addressing distressing symptoms and would use it in routine oncology care. Conclusion ePROs can be integrated into the electronic health record using the Epic MyChart system. Patients and clinicians gave positive feedback on the system. Monitoring symptoms in real time may soon become part of standard oncology practice and requires seamless methods for collection. |
| collection_details |
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| container_issue |
7 |
| title_short |
Collection of electronic patient-reported symptoms in patients with advanced cancer using Epic MyChart surveys |
| url |
https://dx.doi.org/10.1007/s00520-019-05109-0 |
| remote_bool |
true |
| author2 |
Gilmore, Grace E. Steele, Grant L. Eklund, Justin P. Wood, Christina M. Stover, Angela M. Shapiro, Alice C. |
| author2Str |
Gilmore, Grace E. Steele, Grant L. Eklund, Justin P. Wood, Christina M. Stover, Angela M. Shapiro, Alice C. |
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| doi_str |
10.1007/s00520-019-05109-0 |
| up_date |
2024-07-04T01:53:48.787Z |
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| score |
7.399659 |