Patrick Pui Kin Kor1, Angela Yee Man Leung2, Laurence Lloyd Parial3, Eliza Mi Ling Wong4, Kevin Dadaczynski5, Orkan Okan6, Padmore Adusei Amoah7, Shan Shan Wang8, Renli Deng9, Teris Cheuk Chi Cheung10, Alex Molassiotis11. 1. Assistant Professor, Centre for Gerontological Nursing, School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China. 2. Associate Professor and Director, Centre for Gerontological Nursing, School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China. 3. PhD Student, Centre for Gerontological Nursing, School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China. 4. Principal Research Fellow, Centre for Gerontological Nursing, School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China. 5. Professor, Fulda University of Applied Sciences, Public Health Centre Fulda, Fulda, Germany. 6. Research Associate, Bielefeld University, Faculty of Educational Science, Interdisciplinary Centre for Health Literacy Research, Bielefeld, Germany. 7. Research Assistant Professor, School of Graduate Studies, Asia Pacific Institute of Ageing Studies, Centre for Social Policy and Social Change, Lingnan University, Hong Kong SAR, China. 8. Post doctoral fellow, Centre for Gerontological Nursing, School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China. 9. Director, Department of Nursing, The 5th Affiliated Hospital of Zhuyi Medical University, Zhuhai, China. 10. Research Assistant Professor, School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China. 11. Chair Professor, WHO Collaborating Centre for Community Health Services, School of Nursing, Hong Kong Polytechnic University, Hong Kong, China.
Abstract
PURPOSE: A deluge of fake news and misinformation about the coronavirus disease 2019 (COVID-19) on the Internet poses challenges for the public in their search for reliable and relevant health information for taking protective measures, especially among people with chronic diseases (PWCD). This study aimed to (a) understand the satisfaction level of the online information related to COVID-19 in people with and without chronic diseases; (b) explore information-searching behavior and digital health literacy in PWCD; and (3) identify the possible predictors of information satisfaction among PWCD. METHODS: This was a multicity, cross-sectional study using an online survey with a convenience sample of people who (a) were 15 years of age or older and (b) had access to the Internet in mainland China, Hong Kong, and Macau. FINDINGS: Four thousand four hundred and seventy-two subjects completed the survey, of whom less than 50% felt satisfied with the online information. About 20% of respondents (n = 882) were diagnosed with at least one chronic disease and reported a lower level of information satisfaction (p = .003) than the people without chronic diseases. The majority of the PWCD obtained their online health information from social media. Higher digital health literacy (adjusted odds ratio [OR] = 5.07), higher frequency of searches regarding symptoms of COVID-19 (adjusted OR = 2.07), higher perceived importance of quickly learning from the information searched (adjusted OR = 1.63), and lower frequency of searches on the topic of dealing with psychological stress (adjusted OR = 0.54) were found to be predictors of information satisfaction among PWCD. CONCLUSIONS: The majority of PWCD sought online information related to COVID-19 from social media, and their level of information satisfaction was significantly lower than among people without chronic diseases. Digital health literacy is a strong and significant predictor of information satisfaction. CLINICAL RELEVANCE: To support PWCD, we not only have to provide them with clear and accurate information, but also promote their digital health literacy so that they may seek, understand, and appraise health information from the Internet to make appropriate health-related judgments and decisions.
PURPOSE: A deluge of fake news and misinformation about the coronavirus disease 2019 (COVID-19) on the Internet poses challenges for the public in their search for reliable and relevant health information for taking protective measures, especially among people with chronic diseases (PWCD). This study aimed to (a) understand the satisfaction level of the online information related to COVID-19 in people with and without chronic diseases; (b) explore information-searching behavior and digital health literacy in PWCD; and (3) identify the possible predictors of information satisfaction among PWCD. METHODS: This was a multicity, cross-sectional study using an online survey with a convenience sample of people who (a) were 15 years of age or older and (b) had access to the Internet in mainland China, Hong Kong, and Macau. FINDINGS: Four thousand four hundred and seventy-two subjects completed the survey, of whom less than 50% felt satisfied with the online information. About 20% of respondents (n = 882) were diagnosed with at least one chronic disease and reported a lower level of information satisfaction (p = .003) than the people without chronic diseases. The majority of the PWCD obtained their online health information from social media. Higher digital health literacy (adjusted odds ratio [OR] = 5.07), higher frequency of searches regarding symptoms of COVID-19 (adjusted OR = 2.07), higher perceived importance of quickly learning from the information searched (adjusted OR = 1.63), and lower frequency of searches on the topic of dealing with psychological stress (adjusted OR = 0.54) were found to be predictors of information satisfaction among PWCD. CONCLUSIONS: The majority of PWCD sought online information related to COVID-19 from social media, and their level of information satisfaction was significantly lower than among people without chronic diseases. Digital health literacy is a strong and significant predictor of information satisfaction. CLINICAL RELEVANCE: To support PWCD, we not only have to provide them with clear and accurate information, but also promote their digital health literacy so that they may seek, understand, and appraise health information from the Internet to make appropriate health-related judgments and decisions.
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