Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic
Abstract Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple hea...
Ausführliche Beschreibung
Autor*in: |
Armstrong, Christina M. [verfasserIn] |
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E-Artikel |
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Englisch |
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2021 |
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© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 |
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Übergeordnetes Werk: |
Enthalten in: Journal of technology in behavioral science - [Cham] : Springer International Publishing, 2017, 7(2021), 1 vom: 25. Okt., Seite 81-99 |
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Übergeordnetes Werk: |
volume:7 ; year:2021 ; number:1 ; day:25 ; month:10 ; pages:81-99 |
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DOI / URN: |
10.1007/s41347-021-00227-1 |
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SPR046470557 |
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700 | 1 | |a Murphy, John |4 aut | |
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700 | 1 | |a Frizzell, Noelle |4 aut | |
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10.1007/s41347-021-00227-1 doi (DE-627)SPR046470557 (SPR)s41347-021-00227-1-e DE-627 ger DE-627 rakwb eng Armstrong, Christina M. verfasserin (orcid)0000-0002-2942-6553 aut Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Abstract Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple health technologies across a hospital setting, four Virtual Health Resource Centers (VHRCs) were established to provide clinical adoption support to healthcare staff and patients in four hospitals in a large healthcare system. This study spanned a 3-year period, with the first half including pre-implementation efforts, and the second half involved in implementation efforts. In order to compare sites to the national population, a binomial regression was used which allowed for adjustment of relevant covariates (e.g., differences in number of enrollees, level of complexity of facility). The pre-implementation phase and the initial year-and-a-half of the implementation phase resulted in an increase in internal facilitators’ knowledge and skills of virtual care technologies, an increase in facilitator and site capacity, and high levels of adherence to implementation strategies were maintained across sites. Virtual care utilization increased across all sites and across the healthcare system during the implementation phase; however, a comparison to the increase in national level virtual care utilization metrics yielded no meaningful difference. While many implementation strategies aim to increase the adoption of a particular health technology product (e.g., a particular app or remote monitoring use case), the establishment of VHRCs may increase efficiencies in delivery of virtual care training and consultation to healthcare staff and patients, which may increase capacity and decrease barriers to adoption. However, due to the impact of the COVID-19 pandemic on the need for rapid adoption of technology and decreased in person care and services, it is not yet known the longer term impact that the establishment of VHRCs may have on the sustained adoption of health technologies. Implementation science (dpeaa)DE-He213 Training (dpeaa)DE-He213 Healthcare system (dpeaa)DE-He213 Telehealth (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Virtual care (dpeaa)DE-He213 Wilck, Nancy R. aut Murphy, John aut Herout, Jennifer aut Cone, Whitney J. aut Johnson, Adama K. aut Zipper, Kimberly aut Britz, Bridget aut Betancourt-Flores, Gabriella aut LaFleur, Melissa aut Vetter, Brian aut Dameron, Betty aut Frizzell, Noelle aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2021), 1 vom: 25. Okt., Seite 81-99 (DE-627)87812604X (DE-600)2882264-X 2366-5963 nnns volume:7 year:2021 number:1 day:25 month:10 pages:81-99 https://dx.doi.org/10.1007/s41347-021-00227-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 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_266 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 AR 7 2021 1 25 10 81-99 |
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10.1007/s41347-021-00227-1 doi (DE-627)SPR046470557 (SPR)s41347-021-00227-1-e DE-627 ger DE-627 rakwb eng Armstrong, Christina M. verfasserin (orcid)0000-0002-2942-6553 aut Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Abstract Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple health technologies across a hospital setting, four Virtual Health Resource Centers (VHRCs) were established to provide clinical adoption support to healthcare staff and patients in four hospitals in a large healthcare system. This study spanned a 3-year period, with the first half including pre-implementation efforts, and the second half involved in implementation efforts. In order to compare sites to the national population, a binomial regression was used which allowed for adjustment of relevant covariates (e.g., differences in number of enrollees, level of complexity of facility). The pre-implementation phase and the initial year-and-a-half of the implementation phase resulted in an increase in internal facilitators’ knowledge and skills of virtual care technologies, an increase in facilitator and site capacity, and high levels of adherence to implementation strategies were maintained across sites. Virtual care utilization increased across all sites and across the healthcare system during the implementation phase; however, a comparison to the increase in national level virtual care utilization metrics yielded no meaningful difference. While many implementation strategies aim to increase the adoption of a particular health technology product (e.g., a particular app or remote monitoring use case), the establishment of VHRCs may increase efficiencies in delivery of virtual care training and consultation to healthcare staff and patients, which may increase capacity and decrease barriers to adoption. However, due to the impact of the COVID-19 pandemic on the need for rapid adoption of technology and decreased in person care and services, it is not yet known the longer term impact that the establishment of VHRCs may have on the sustained adoption of health technologies. Implementation science (dpeaa)DE-He213 Training (dpeaa)DE-He213 Healthcare system (dpeaa)DE-He213 Telehealth (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Virtual care (dpeaa)DE-He213 Wilck, Nancy R. aut Murphy, John aut Herout, Jennifer aut Cone, Whitney J. aut Johnson, Adama K. aut Zipper, Kimberly aut Britz, Bridget aut Betancourt-Flores, Gabriella aut LaFleur, Melissa aut Vetter, Brian aut Dameron, Betty aut Frizzell, Noelle aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2021), 1 vom: 25. 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10.1007/s41347-021-00227-1 doi (DE-627)SPR046470557 (SPR)s41347-021-00227-1-e DE-627 ger DE-627 rakwb eng Armstrong, Christina M. verfasserin (orcid)0000-0002-2942-6553 aut Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Abstract Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple health technologies across a hospital setting, four Virtual Health Resource Centers (VHRCs) were established to provide clinical adoption support to healthcare staff and patients in four hospitals in a large healthcare system. This study spanned a 3-year period, with the first half including pre-implementation efforts, and the second half involved in implementation efforts. In order to compare sites to the national population, a binomial regression was used which allowed for adjustment of relevant covariates (e.g., differences in number of enrollees, level of complexity of facility). The pre-implementation phase and the initial year-and-a-half of the implementation phase resulted in an increase in internal facilitators’ knowledge and skills of virtual care technologies, an increase in facilitator and site capacity, and high levels of adherence to implementation strategies were maintained across sites. Virtual care utilization increased across all sites and across the healthcare system during the implementation phase; however, a comparison to the increase in national level virtual care utilization metrics yielded no meaningful difference. While many implementation strategies aim to increase the adoption of a particular health technology product (e.g., a particular app or remote monitoring use case), the establishment of VHRCs may increase efficiencies in delivery of virtual care training and consultation to healthcare staff and patients, which may increase capacity and decrease barriers to adoption. However, due to the impact of the COVID-19 pandemic on the need for rapid adoption of technology and decreased in person care and services, it is not yet known the longer term impact that the establishment of VHRCs may have on the sustained adoption of health technologies. Implementation science (dpeaa)DE-He213 Training (dpeaa)DE-He213 Healthcare system (dpeaa)DE-He213 Telehealth (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Virtual care (dpeaa)DE-He213 Wilck, Nancy R. aut Murphy, John aut Herout, Jennifer aut Cone, Whitney J. aut Johnson, Adama K. aut Zipper, Kimberly aut Britz, Bridget aut Betancourt-Flores, Gabriella aut LaFleur, Melissa aut Vetter, Brian aut Dameron, Betty aut Frizzell, Noelle aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2021), 1 vom: 25. Okt., Seite 81-99 (DE-627)87812604X (DE-600)2882264-X 2366-5963 nnns volume:7 year:2021 number:1 day:25 month:10 pages:81-99 https://dx.doi.org/10.1007/s41347-021-00227-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 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_266 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 AR 7 2021 1 25 10 81-99 |
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10.1007/s41347-021-00227-1 doi (DE-627)SPR046470557 (SPR)s41347-021-00227-1-e DE-627 ger DE-627 rakwb eng Armstrong, Christina M. verfasserin (orcid)0000-0002-2942-6553 aut Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Abstract Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple health technologies across a hospital setting, four Virtual Health Resource Centers (VHRCs) were established to provide clinical adoption support to healthcare staff and patients in four hospitals in a large healthcare system. This study spanned a 3-year period, with the first half including pre-implementation efforts, and the second half involved in implementation efforts. In order to compare sites to the national population, a binomial regression was used which allowed for adjustment of relevant covariates (e.g., differences in number of enrollees, level of complexity of facility). The pre-implementation phase and the initial year-and-a-half of the implementation phase resulted in an increase in internal facilitators’ knowledge and skills of virtual care technologies, an increase in facilitator and site capacity, and high levels of adherence to implementation strategies were maintained across sites. Virtual care utilization increased across all sites and across the healthcare system during the implementation phase; however, a comparison to the increase in national level virtual care utilization metrics yielded no meaningful difference. While many implementation strategies aim to increase the adoption of a particular health technology product (e.g., a particular app or remote monitoring use case), the establishment of VHRCs may increase efficiencies in delivery of virtual care training and consultation to healthcare staff and patients, which may increase capacity and decrease barriers to adoption. However, due to the impact of the COVID-19 pandemic on the need for rapid adoption of technology and decreased in person care and services, it is not yet known the longer term impact that the establishment of VHRCs may have on the sustained adoption of health technologies. Implementation science (dpeaa)DE-He213 Training (dpeaa)DE-He213 Healthcare system (dpeaa)DE-He213 Telehealth (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Virtual care (dpeaa)DE-He213 Wilck, Nancy R. aut Murphy, John aut Herout, Jennifer aut Cone, Whitney J. aut Johnson, Adama K. aut Zipper, Kimberly aut Britz, Bridget aut Betancourt-Flores, Gabriella aut LaFleur, Melissa aut Vetter, Brian aut Dameron, Betty aut Frizzell, Noelle aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2021), 1 vom: 25. Okt., Seite 81-99 (DE-627)87812604X (DE-600)2882264-X 2366-5963 nnns volume:7 year:2021 number:1 day:25 month:10 pages:81-99 https://dx.doi.org/10.1007/s41347-021-00227-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 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_266 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 AR 7 2021 1 25 10 81-99 |
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10.1007/s41347-021-00227-1 doi (DE-627)SPR046470557 (SPR)s41347-021-00227-1-e DE-627 ger DE-627 rakwb eng Armstrong, Christina M. verfasserin (orcid)0000-0002-2942-6553 aut Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Abstract Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple health technologies across a hospital setting, four Virtual Health Resource Centers (VHRCs) were established to provide clinical adoption support to healthcare staff and patients in four hospitals in a large healthcare system. This study spanned a 3-year period, with the first half including pre-implementation efforts, and the second half involved in implementation efforts. In order to compare sites to the national population, a binomial regression was used which allowed for adjustment of relevant covariates (e.g., differences in number of enrollees, level of complexity of facility). The pre-implementation phase and the initial year-and-a-half of the implementation phase resulted in an increase in internal facilitators’ knowledge and skills of virtual care technologies, an increase in facilitator and site capacity, and high levels of adherence to implementation strategies were maintained across sites. Virtual care utilization increased across all sites and across the healthcare system during the implementation phase; however, a comparison to the increase in national level virtual care utilization metrics yielded no meaningful difference. While many implementation strategies aim to increase the adoption of a particular health technology product (e.g., a particular app or remote monitoring use case), the establishment of VHRCs may increase efficiencies in delivery of virtual care training and consultation to healthcare staff and patients, which may increase capacity and decrease barriers to adoption. However, due to the impact of the COVID-19 pandemic on the need for rapid adoption of technology and decreased in person care and services, it is not yet known the longer term impact that the establishment of VHRCs may have on the sustained adoption of health technologies. Implementation science (dpeaa)DE-He213 Training (dpeaa)DE-He213 Healthcare system (dpeaa)DE-He213 Telehealth (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Virtual care (dpeaa)DE-He213 Wilck, Nancy R. aut Murphy, John aut Herout, Jennifer aut Cone, Whitney J. aut Johnson, Adama K. aut Zipper, Kimberly aut Britz, Bridget aut Betancourt-Flores, Gabriella aut LaFleur, Melissa aut Vetter, Brian aut Dameron, Betty aut Frizzell, Noelle aut Enthalten in Journal of technology in behavioral science [Cham] : Springer International Publishing, 2017 7(2021), 1 vom: 25. Okt., Seite 81-99 (DE-627)87812604X (DE-600)2882264-X 2366-5963 nnns volume:7 year:2021 number:1 day:25 month:10 pages:81-99 https://dx.doi.org/10.1007/s41347-021-00227-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 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_266 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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 AR 7 2021 1 25 10 81-99 |
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Armstrong, Christina M. |
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Armstrong, Christina M. misc Implementation science misc Training misc Healthcare system misc Telehealth misc Mobile health misc Virtual care Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic |
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Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic Implementation science (dpeaa)DE-He213 Training (dpeaa)DE-He213 Healthcare system (dpeaa)DE-He213 Telehealth (dpeaa)DE-He213 Mobile health (dpeaa)DE-He213 Virtual care (dpeaa)DE-He213 |
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Armstrong, Christina M. Wilck, Nancy R. Murphy, John Herout, Jennifer Cone, Whitney J. Johnson, Adama K. Zipper, Kimberly Britz, Bridget Betancourt-Flores, Gabriella LaFleur, Melissa Vetter, Brian Dameron, Betty Frizzell, Noelle |
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results and lessons learned when implementing virtual health resource centers to increase virtual care adoption during the covid-19 pandemic |
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Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic |
abstract |
Abstract Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple health technologies across a hospital setting, four Virtual Health Resource Centers (VHRCs) were established to provide clinical adoption support to healthcare staff and patients in four hospitals in a large healthcare system. This study spanned a 3-year period, with the first half including pre-implementation efforts, and the second half involved in implementation efforts. In order to compare sites to the national population, a binomial regression was used which allowed for adjustment of relevant covariates (e.g., differences in number of enrollees, level of complexity of facility). The pre-implementation phase and the initial year-and-a-half of the implementation phase resulted in an increase in internal facilitators’ knowledge and skills of virtual care technologies, an increase in facilitator and site capacity, and high levels of adherence to implementation strategies were maintained across sites. Virtual care utilization increased across all sites and across the healthcare system during the implementation phase; however, a comparison to the increase in national level virtual care utilization metrics yielded no meaningful difference. While many implementation strategies aim to increase the adoption of a particular health technology product (e.g., a particular app or remote monitoring use case), the establishment of VHRCs may increase efficiencies in delivery of virtual care training and consultation to healthcare staff and patients, which may increase capacity and decrease barriers to adoption. However, due to the impact of the COVID-19 pandemic on the need for rapid adoption of technology and decreased in person care and services, it is not yet known the longer term impact that the establishment of VHRCs may have on the sustained adoption of health technologies. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 |
abstractGer |
Abstract Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple health technologies across a hospital setting, four Virtual Health Resource Centers (VHRCs) were established to provide clinical adoption support to healthcare staff and patients in four hospitals in a large healthcare system. This study spanned a 3-year period, with the first half including pre-implementation efforts, and the second half involved in implementation efforts. In order to compare sites to the national population, a binomial regression was used which allowed for adjustment of relevant covariates (e.g., differences in number of enrollees, level of complexity of facility). The pre-implementation phase and the initial year-and-a-half of the implementation phase resulted in an increase in internal facilitators’ knowledge and skills of virtual care technologies, an increase in facilitator and site capacity, and high levels of adherence to implementation strategies were maintained across sites. Virtual care utilization increased across all sites and across the healthcare system during the implementation phase; however, a comparison to the increase in national level virtual care utilization metrics yielded no meaningful difference. While many implementation strategies aim to increase the adoption of a particular health technology product (e.g., a particular app or remote monitoring use case), the establishment of VHRCs may increase efficiencies in delivery of virtual care training and consultation to healthcare staff and patients, which may increase capacity and decrease barriers to adoption. However, due to the impact of the COVID-19 pandemic on the need for rapid adoption of technology and decreased in person care and services, it is not yet known the longer term impact that the establishment of VHRCs may have on the sustained adoption of health technologies. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 |
abstract_unstemmed |
Abstract Implementation efforts to increase adoption of health technologies (e.g., telehealth, mobile health, electronic health records, patient portals) have commonly focused on increasing the adoption of specific health technologies in specific service lines. To facilitate adoption of multiple health technologies across a hospital setting, four Virtual Health Resource Centers (VHRCs) were established to provide clinical adoption support to healthcare staff and patients in four hospitals in a large healthcare system. This study spanned a 3-year period, with the first half including pre-implementation efforts, and the second half involved in implementation efforts. In order to compare sites to the national population, a binomial regression was used which allowed for adjustment of relevant covariates (e.g., differences in number of enrollees, level of complexity of facility). The pre-implementation phase and the initial year-and-a-half of the implementation phase resulted in an increase in internal facilitators’ knowledge and skills of virtual care technologies, an increase in facilitator and site capacity, and high levels of adherence to implementation strategies were maintained across sites. Virtual care utilization increased across all sites and across the healthcare system during the implementation phase; however, a comparison to the increase in national level virtual care utilization metrics yielded no meaningful difference. While many implementation strategies aim to increase the adoption of a particular health technology product (e.g., a particular app or remote monitoring use case), the establishment of VHRCs may increase efficiencies in delivery of virtual care training and consultation to healthcare staff and patients, which may increase capacity and decrease barriers to adoption. However, due to the impact of the COVID-19 pandemic on the need for rapid adoption of technology and decreased in person care and services, it is not yet known the longer term impact that the establishment of VHRCs may have on the sustained adoption of health technologies. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 |
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1 |
title_short |
Results and Lessons Learned when Implementing Virtual Health Resource Centers to Increase Virtual Care Adoption During the COVID-19 Pandemic |
url |
https://dx.doi.org/10.1007/s41347-021-00227-1 |
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author2 |
Wilck, Nancy R. Murphy, John Herout, Jennifer Cone, Whitney J. Johnson, Adama K. Zipper, Kimberly Britz, Bridget Betancourt-Flores, Gabriella LaFleur, Melissa Vetter, Brian Dameron, Betty Frizzell, Noelle |
author2Str |
Wilck, Nancy R. Murphy, John Herout, Jennifer Cone, Whitney J. Johnson, Adama K. Zipper, Kimberly Britz, Bridget Betancourt-Flores, Gabriella LaFleur, Melissa Vetter, Brian Dameron, Betty Frizzell, Noelle |
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doi_str |
10.1007/s41347-021-00227-1 |
up_date |
2024-07-03T22:43:43.318Z |
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score |
7.3992214 |