Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore

Abstract Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance....
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Autor*in:	Kristi Yoonsup Lee [verfasserIn] Saudamini Vishwanath Dabak [verfasserIn] Vivian Hanxiao Kong [verfasserIn] Minah Park [verfasserIn] Shirley L. L. Kwok [verfasserIn] Madison Silzle [verfasserIn] Chayapat Rachatan [verfasserIn] Alex Cook [verfasserIn] Aly Passanante [verfasserIn] Ed Pertwee [verfasserIn] Zhengdong Wu [verfasserIn] Javier A. Elkin [verfasserIn] Heidi J. Larson [verfasserIn] Eric H. Y. Lau [verfasserIn] Kathy Leung [verfasserIn] Joseph T. Wu [verfasserIn] Leesa Lin [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Übergeordnetes Werk:	In: npj Digital Medicine - Nature Portfolio, 2018, 6(2023), 1, Seite 12
Übergeordnetes Werk:	volume:6 ; year:2023 ; number:1 ; pages:12

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1038/s41746-023-00843-6

Katalog-ID:	DOAJ10066458X

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allfields	10.1038/s41746-023-00843-6 doi (DE-627)DOAJ10066458X (DE-599)DOAJ123087cd007d4bfdbdb93f79524fe1f4 DE-627 ger DE-627 rakwb eng R858-859.7 Kristi Yoonsup Lee verfasserin aut Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance. Computer applications to medicine. Medical informatics Saudamini Vishwanath Dabak verfasserin aut Vivian Hanxiao Kong verfasserin aut Minah Park verfasserin aut Shirley L. L. Kwok verfasserin aut Madison Silzle verfasserin aut Chayapat Rachatan verfasserin aut Alex Cook verfasserin aut Aly Passanante verfasserin aut Ed Pertwee verfasserin aut Zhengdong Wu verfasserin aut Javier A. Elkin verfasserin aut Heidi J. Larson verfasserin aut Eric H. Y. Lau verfasserin aut Kathy Leung verfasserin aut Joseph T. Wu verfasserin aut Leesa Lin verfasserin aut In npj Digital Medicine Nature Portfolio, 2018 6(2023), 1, Seite 12 (DE-627)1016587104 (DE-600)2925182-5 23986352 nnns volume:6 year:2023 number:1 pages:12 https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/article/123087cd007d4bfdbdb93f79524fe1f4 kostenfrei https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/toc/2398-6352 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 1 12
spelling	10.1038/s41746-023-00843-6 doi (DE-627)DOAJ10066458X (DE-599)DOAJ123087cd007d4bfdbdb93f79524fe1f4 DE-627 ger DE-627 rakwb eng R858-859.7 Kristi Yoonsup Lee verfasserin aut Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance. Computer applications to medicine. Medical informatics Saudamini Vishwanath Dabak verfasserin aut Vivian Hanxiao Kong verfasserin aut Minah Park verfasserin aut Shirley L. L. Kwok verfasserin aut Madison Silzle verfasserin aut Chayapat Rachatan verfasserin aut Alex Cook verfasserin aut Aly Passanante verfasserin aut Ed Pertwee verfasserin aut Zhengdong Wu verfasserin aut Javier A. Elkin verfasserin aut Heidi J. Larson verfasserin aut Eric H. Y. Lau verfasserin aut Kathy Leung verfasserin aut Joseph T. Wu verfasserin aut Leesa Lin verfasserin aut In npj Digital Medicine Nature Portfolio, 2018 6(2023), 1, Seite 12 (DE-627)1016587104 (DE-600)2925182-5 23986352 nnns volume:6 year:2023 number:1 pages:12 https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/article/123087cd007d4bfdbdb93f79524fe1f4 kostenfrei https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/toc/2398-6352 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 1 12
allfields_unstemmed	10.1038/s41746-023-00843-6 doi (DE-627)DOAJ10066458X (DE-599)DOAJ123087cd007d4bfdbdb93f79524fe1f4 DE-627 ger DE-627 rakwb eng R858-859.7 Kristi Yoonsup Lee verfasserin aut Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance. Computer applications to medicine. Medical informatics Saudamini Vishwanath Dabak verfasserin aut Vivian Hanxiao Kong verfasserin aut Minah Park verfasserin aut Shirley L. L. Kwok verfasserin aut Madison Silzle verfasserin aut Chayapat Rachatan verfasserin aut Alex Cook verfasserin aut Aly Passanante verfasserin aut Ed Pertwee verfasserin aut Zhengdong Wu verfasserin aut Javier A. Elkin verfasserin aut Heidi J. Larson verfasserin aut Eric H. Y. Lau verfasserin aut Kathy Leung verfasserin aut Joseph T. Wu verfasserin aut Leesa Lin verfasserin aut In npj Digital Medicine Nature Portfolio, 2018 6(2023), 1, Seite 12 (DE-627)1016587104 (DE-600)2925182-5 23986352 nnns volume:6 year:2023 number:1 pages:12 https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/article/123087cd007d4bfdbdb93f79524fe1f4 kostenfrei https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/toc/2398-6352 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 1 12
allfieldsGer	10.1038/s41746-023-00843-6 doi (DE-627)DOAJ10066458X (DE-599)DOAJ123087cd007d4bfdbdb93f79524fe1f4 DE-627 ger DE-627 rakwb eng R858-859.7 Kristi Yoonsup Lee verfasserin aut Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance. Computer applications to medicine. Medical informatics Saudamini Vishwanath Dabak verfasserin aut Vivian Hanxiao Kong verfasserin aut Minah Park verfasserin aut Shirley L. L. Kwok verfasserin aut Madison Silzle verfasserin aut Chayapat Rachatan verfasserin aut Alex Cook verfasserin aut Aly Passanante verfasserin aut Ed Pertwee verfasserin aut Zhengdong Wu verfasserin aut Javier A. Elkin verfasserin aut Heidi J. Larson verfasserin aut Eric H. Y. Lau verfasserin aut Kathy Leung verfasserin aut Joseph T. Wu verfasserin aut Leesa Lin verfasserin aut In npj Digital Medicine Nature Portfolio, 2018 6(2023), 1, Seite 12 (DE-627)1016587104 (DE-600)2925182-5 23986352 nnns volume:6 year:2023 number:1 pages:12 https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/article/123087cd007d4bfdbdb93f79524fe1f4 kostenfrei https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/toc/2398-6352 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 1 12
allfieldsSound	10.1038/s41746-023-00843-6 doi (DE-627)DOAJ10066458X (DE-599)DOAJ123087cd007d4bfdbdb93f79524fe1f4 DE-627 ger DE-627 rakwb eng R858-859.7 Kristi Yoonsup Lee verfasserin aut Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance. Computer applications to medicine. Medical informatics Saudamini Vishwanath Dabak verfasserin aut Vivian Hanxiao Kong verfasserin aut Minah Park verfasserin aut Shirley L. L. Kwok verfasserin aut Madison Silzle verfasserin aut Chayapat Rachatan verfasserin aut Alex Cook verfasserin aut Aly Passanante verfasserin aut Ed Pertwee verfasserin aut Zhengdong Wu verfasserin aut Javier A. Elkin verfasserin aut Heidi J. Larson verfasserin aut Eric H. Y. Lau verfasserin aut Kathy Leung verfasserin aut Joseph T. Wu verfasserin aut Leesa Lin verfasserin aut In npj Digital Medicine Nature Portfolio, 2018 6(2023), 1, Seite 12 (DE-627)1016587104 (DE-600)2925182-5 23986352 nnns volume:6 year:2023 number:1 pages:12 https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/article/123087cd007d4bfdbdb93f79524fe1f4 kostenfrei https://doi.org/10.1038/s41746-023-00843-6 kostenfrei https://doaj.org/toc/2398-6352 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2023 1 12
language	English
source	In npj Digital Medicine 6(2023), 1, Seite 12 volume:6 year:2023 number:1 pages:12
sourceStr	In npj Digital Medicine 6(2023), 1, Seite 12 volume:6 year:2023 number:1 pages:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Computer applications to medicine. Medical informatics
isfreeaccess_bool	true
container_title	npj Digital Medicine
authorswithroles_txt_mv	Kristi Yoonsup Lee @@aut@@ Saudamini Vishwanath Dabak @@aut@@ Vivian Hanxiao Kong @@aut@@ Minah Park @@aut@@ Shirley L. L. Kwok @@aut@@ Madison Silzle @@aut@@ Chayapat Rachatan @@aut@@ Alex Cook @@aut@@ Aly Passanante @@aut@@ Ed Pertwee @@aut@@ Zhengdong Wu @@aut@@ Javier A. Elkin @@aut@@ Heidi J. Larson @@aut@@ Eric H. Y. Lau @@aut@@ Kathy Leung @@aut@@ Joseph T. Wu @@aut@@ Leesa Lin @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	1016587104
id	DOAJ10066458X
language_de	englisch
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callnumber-first	R - Medicine
author	Kristi Yoonsup Lee
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topic_title	R858-859.7 Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore
topic	misc R858-859.7 misc Computer applications to medicine. Medical informatics
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title	Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore
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title_full	Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore
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author_browse	Kristi Yoonsup Lee Saudamini Vishwanath Dabak Vivian Hanxiao Kong Minah Park Shirley L. L. Kwok Madison Silzle Chayapat Rachatan Alex Cook Aly Passanante Ed Pertwee Zhengdong Wu Javier A. Elkin Heidi J. Larson Eric H. Y. Lau Kathy Leung Joseph T. Wu Leesa Lin
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title_sort	effectiveness of chatbots on covid vaccine confidence and acceptance in thailand, hong kong, and singapore
callnumber	R858-859.7
title_auth	Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore
abstract	Abstract Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance.
abstractGer	Abstract Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance.
abstract_unstemmed	Abstract Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots’ significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance.
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container_issue	1
title_short	Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore
url	https://doi.org/10.1038/s41746-023-00843-6 https://doaj.org/article/123087cd007d4bfdbdb93f79524fe1f4 https://doaj.org/toc/2398-6352
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author2	Saudamini Vishwanath Dabak Vivian Hanxiao Kong Minah Park Shirley L. L. Kwok Madison Silzle Chayapat Rachatan Alex Cook Aly Passanante Ed Pertwee Zhengdong Wu Javier A. Elkin Heidi J. Larson Eric H. Y. Lau Kathy Leung Joseph T. Wu Leesa Lin
author2Str	Saudamini Vishwanath Dabak Vivian Hanxiao Kong Minah Park Shirley L. L. Kwok Madison Silzle Chayapat Rachatan Alex Cook Aly Passanante Ed Pertwee Zhengdong Wu Javier A. Elkin Heidi J. Larson Eric H. Y. Lau Kathy Leung Joseph T. Wu Leesa Lin
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doi_str	10.1038/s41746-023-00843-6
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up_date	2024-07-03T15:58:22.926Z
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