Pub Date : 2023-01-02DOI: 10.1080/15398285.2023.2178215
Kat Phillips
Abstract Patients and caregivers of patients with cancer are met with an untold amount of information resources, not all of which are ethical, accurate, healthy, or are simply motivated by profit or agenda. One way information professionals and health care providers can help sift through this overwhelming amount of resources is to provide credible and accessible cancer resources founded in evidence-based research and medicine. One such organization is the National Comprehensive Cancer Network, and their collection of Patient Resources.
{"title":"It’s Not Just for Medical Professionals: Patient Resources of the National Comprehensive Cancer Network (NCCN)","authors":"Kat Phillips","doi":"10.1080/15398285.2023.2178215","DOIUrl":"https://doi.org/10.1080/15398285.2023.2178215","url":null,"abstract":"Abstract Patients and caregivers of patients with cancer are met with an untold amount of information resources, not all of which are ethical, accurate, healthy, or are simply motivated by profit or agenda. One way information professionals and health care providers can help sift through this overwhelming amount of resources is to provide credible and accessible cancer resources founded in evidence-based research and medicine. One such organization is the National Comprehensive Cancer Network, and their collection of Patient Resources.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"27 1","pages":"67 - 72"},"PeriodicalIF":0.8,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49071706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/15398285.2023.2171240
L. Samuel, J. Fera, C. Basch
Abstract This study aimed to determine the level of readability of online information on gestational diabetes mellitus (GDM). Readability of 100 English-language websites was assessed by five readability measures: Flesch-Kincaid Grade level (FKGL), Gunning Fox Index (GFI), Coleman Liau Index (CLI), Simple Measure of Gobbledygook (SMOG), and Flesch Reading Ease (FRE). A majority (90%+) of the sample was determined to have unacceptable readability levels, with averages at least one standard deviation away from recommended levels. Not more than a tenth of the websites measured readability to be acceptable or not equivalent to grade seven and above. Results suggest an urgent need for health professionals who create online information related to GDM to revisit and revise the text to be simplified and more readable.
摘要本研究旨在确定妊娠期糖尿病(GDM)在线信息的可读性水平。采用Flesch- kincaid Grade level (FKGL)、Gunning Fox Index (GFI)、Coleman Liau Index (CLI)、Simple Measure of Gobbledygook (SMOG)和Flesch Reading Ease (FRE)五种可读性指标对100个英语网站的可读性进行了评估。大多数(90%以上)的样本被确定为具有不可接受的可读性水平，平均距离推荐水平至少有一个标准差。不超过十分之一的网站可接受或不等于七级或以上。结果表明，创建GDM相关在线信息的卫生专业人员迫切需要重新审视和修改文本，以简化和更具可读性。
{"title":"Readability Analysis of Online Health Information on Gestational Diabetes","authors":"L. Samuel, J. Fera, C. Basch","doi":"10.1080/15398285.2023.2171240","DOIUrl":"https://doi.org/10.1080/15398285.2023.2171240","url":null,"abstract":"Abstract This study aimed to determine the level of readability of online information on gestational diabetes mellitus (GDM). Readability of 100 English-language websites was assessed by five readability measures: Flesch-Kincaid Grade level (FKGL), Gunning Fox Index (GFI), Coleman Liau Index (CLI), Simple Measure of Gobbledygook (SMOG), and Flesch Reading Ease (FRE). A majority (90%+) of the sample was determined to have unacceptable readability levels, with averages at least one standard deviation away from recommended levels. Not more than a tenth of the websites measured readability to be acceptable or not equivalent to grade seven and above. Results suggest an urgent need for health professionals who create online information related to GDM to revisit and revise the text to be simplified and more readable.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"27 1","pages":"26 - 34"},"PeriodicalIF":0.8,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48704642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/15398285.2023.2170629
Batool AlQanber, Roland Chu, Katherine Battisti
Abstract Cancer.Net, a patient information web site maintained by the American Society of Clinical Oncology (ASCO), offers guides for many types of cancer and related hereditary syndromes for both adult and pediatric patients. Each guide provides broad clinical information for patients, families, and caregivers on the nature of cancer, signs and symptoms, related risk factors, diagnosis, staging and grading, and types of treatment. Additional resources related to coping with such diseases, available clinical trials and ongoing research, and the important aspects that need to be discussed with their treatment team are also provided. Each guide is reviewed by experts on the “Cancer.Net Editorial Board” that includes oncologists, surgeons, nurses, physician assistants, social workers, and other medical professionals involved in the care of patients with cancer.
{"title":"Cancer.Net: Guides to Cancer Care","authors":"Batool AlQanber, Roland Chu, Katherine Battisti","doi":"10.1080/15398285.2023.2170629","DOIUrl":"https://doi.org/10.1080/15398285.2023.2170629","url":null,"abstract":"Abstract Cancer.Net, a patient information web site maintained by the American Society of Clinical Oncology (ASCO), offers guides for many types of cancer and related hereditary syndromes for both adult and pediatric patients. Each guide provides broad clinical information for patients, families, and caregivers on the nature of cancer, signs and symptoms, related risk factors, diagnosis, staging and grading, and types of treatment. Additional resources related to coping with such diseases, available clinical trials and ongoing research, and the important aspects that need to be discussed with their treatment team are also provided. Each guide is reviewed by experts on the “Cancer.Net Editorial Board” that includes oncologists, surgeons, nurses, physician assistants, social workers, and other medical professionals involved in the care of patients with cancer.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"27 1","pages":"73 - 85"},"PeriodicalIF":0.8,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43678861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/15398285.2022.2129178
Recep Özdemir, G. Bektemur, E. Keleş, K. N. Baydili
Abstract There is a lack of robust information for research assessing the association of various socio-demographic factors and digital technology use in the e-Health context in Turkey among the general population. The aim of the study was thus to examine the sociodemographic determinants of e-Health literacy in the general population in Istanbul, Turkey. The study sample consisted of 806 individuals aged 15 and over who participated in a cross-sectional survey conducted between October 2019 and February 2020. Abstracted data included age, gender, education level, income, occupation type, Internet use, self-perceived health status, regular medication usage, and visits to healthcare professionals. The e-Health Literacy Scale was used to measure e-Health literacy. This study indicated that the e-Health literacy of the general population was at a medium level and most variables reflecting the sociodemographic and economic status of the individuals were significantly associated with e-Health scores.
{"title":"Internet Use, e-Heath Literacy, and Associated Factors in Istanbul, Turkey: A Cross-Sectional Study","authors":"Recep Özdemir, G. Bektemur, E. Keleş, K. N. Baydili","doi":"10.1080/15398285.2022.2129178","DOIUrl":"https://doi.org/10.1080/15398285.2022.2129178","url":null,"abstract":"Abstract There is a lack of robust information for research assessing the association of various socio-demographic factors and digital technology use in the e-Health context in Turkey among the general population. The aim of the study was thus to examine the sociodemographic determinants of e-Health literacy in the general population in Istanbul, Turkey. The study sample consisted of 806 individuals aged 15 and over who participated in a cross-sectional survey conducted between October 2019 and February 2020. Abstracted data included age, gender, education level, income, occupation type, Internet use, self-perceived health status, regular medication usage, and visits to healthcare professionals. The e-Health Literacy Scale was used to measure e-Health literacy. This study indicated that the e-Health literacy of the general population was at a medium level and most variables reflecting the sociodemographic and economic status of the individuals were significantly associated with e-Health scores.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"27 1","pages":"1 - 11"},"PeriodicalIF":0.8,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44578273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-02DOI: 10.1080/15398285.2023.2167424
Lisa M. Acuff, Gwen Geiger Wolfe, Sally Bowler-Hill
Abstract This article discusses online patient education materials (PEMs) in the context of type 1 diabetes and the language used to describe the condition. The role of healthcare providers and health information professionals in the delivery of online PEMs is described. Relevant theories regarding the impact of language are discussed. A theoretical framework for understanding and assessing PEMs is presented, along with the introduction of in-progress research on the use of language in online PEMs for adults with type 1 diabetes.
{"title":"The Language of Type 1 Diabetes: Why It Matters in Online Patient Education","authors":"Lisa M. Acuff, Gwen Geiger Wolfe, Sally Bowler-Hill","doi":"10.1080/15398285.2023.2167424","DOIUrl":"https://doi.org/10.1080/15398285.2023.2167424","url":null,"abstract":"Abstract This article discusses online patient education materials (PEMs) in the context of type 1 diabetes and the language used to describe the condition. The role of healthcare providers and health information professionals in the delivery of online PEMs is described. Relevant theories regarding the impact of language are discussed. A theoretical framework for understanding and assessing PEMs is presented, along with the introduction of in-progress research on the use of language in online PEMs for adults with type 1 diabetes.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"27 1","pages":"86 - 97"},"PeriodicalIF":0.8,"publicationDate":"2023-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41601248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/15398285.2022.2115704
T. Ozturk, Eldar Sheydayev, A. Yağcı
Abstract This study examines the quality and reliability of videos about white spot lesions (WSLs) uploaded to YouTube. The keyword required for searching was analyzed using the Google Trends online application, which determined a “white spot lesion.” The first 140 videos about WSLs were watched and 85 of them were evaluated. The videos watched were divided into two categories according to their reliability score (RS): low reliability and medium/high reliability. The videos also examined the global quality index (GQS) and video information and quality index (VIQI) data for the videos. Pearson’s chi-squared test, Fisher’s exact test, and multivariate analysis of variance were used to evaluate the data. It was determined that there were more videos about WSLs with medium/high reliability (65.9%) than with low reliability and that most of the videos were uploaded by clinics (49.4%). The videos contained more information about WSLs in terms of definition (70.6%), treatment indication (77.6%), treatment advantage (77.6%), and treatment procedure (76.5%). It was also determined that the mean GQS, VIQI, and RS values differed according to video reliability category, and only the mean interaction index values differed significantly according to video source (p < .05). Most YouTube videos about WSLs examined in this study were of medium/high reliability. Thus, it can be concluded that the videos about WSLs on YouTube are generally reliable.
{"title":"Do YouTube Videos Provide Enough Reliable Information to Patients about White Spot Lesions? A Video Content and Quality Analysis","authors":"T. Ozturk, Eldar Sheydayev, A. Yağcı","doi":"10.1080/15398285.2022.2115704","DOIUrl":"https://doi.org/10.1080/15398285.2022.2115704","url":null,"abstract":"Abstract This study examines the quality and reliability of videos about white spot lesions (WSLs) uploaded to YouTube. The keyword required for searching was analyzed using the Google Trends online application, which determined a “white spot lesion.” The first 140 videos about WSLs were watched and 85 of them were evaluated. The videos watched were divided into two categories according to their reliability score (RS): low reliability and medium/high reliability. The videos also examined the global quality index (GQS) and video information and quality index (VIQI) data for the videos. Pearson’s chi-squared test, Fisher’s exact test, and multivariate analysis of variance were used to evaluate the data. It was determined that there were more videos about WSLs with medium/high reliability (65.9%) than with low reliability and that most of the videos were uploaded by clinics (49.4%). The videos contained more information about WSLs in terms of definition (70.6%), treatment indication (77.6%), treatment advantage (77.6%), and treatment procedure (76.5%). It was also determined that the mean GQS, VIQI, and RS values differed according to video reliability category, and only the mean interaction index values differed significantly according to video source (p < .05). Most YouTube videos about WSLs examined in this study were of medium/high reliability. Thus, it can be concluded that the videos about WSLs on YouTube are generally reliable.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"26 1","pages":"357 - 372"},"PeriodicalIF":0.8,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43432558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/15398285.2022.2106404
Uzair Shah, Alaa A. Abd-alrazaq, Jens Schneider, Mowafa J Househ, Zubair Shah
Abstract Objective: This study aimed to categorize and analyze the public response toward third/booster shots of COVID-19 on Twitter. Methods: We downloaded the COVID-19 vaccine booster shots related Tweets using the Twitter API. The collected Tweets were pre-processed to prepare them for analysis by (1) removing non-English language tweets, retweets, emojis, emoticons, non-printable characters, the punctuation marks, and the prepositions, (2) anonymizing the identity of the users, and (3) normalizing various forms of the same words. We used the state-of-the-art BertTopic modeling library to identify the most popular topics. Results: Of 165,048 Tweets collected, 36,908 Tweets were analyzed in this study. From these tweets, we identified 9 topics, which were about Biden administration, Pfizer & BioNTech, Moderna, Johnson & Johnson, eligibility for booster shots, side effects, Donald Trump, variants of the Novel Coronavirus, and conspiracy theory & propaganda. The mean of sentiment was positive in all topics. The lowest and highest mean of sentiments were for the Donald Trump topic (0.0097) and the Johnson & Johnson topic (0.1294), respectively. Conclusions: The topics identified in this study not only accurately reflect the contemporary COVID-19 discussion, but also the high degree of politicization in the USA. While the latter might be a result of our rejection of non-English tweets, it is reassuring to see our fully automated, unsupervised pipeline reliably extract such global features in the data at scale. We, therefore, believe that the methodology presented in this study is mature and useful for other infoveillance studies on a wide variety of topics.
{"title":"Twitters’ Concerns and Opinions About the COVID-19 Booster Shots: Infoveillance Study","authors":"Uzair Shah, Alaa A. Abd-alrazaq, Jens Schneider, Mowafa J Househ, Zubair Shah","doi":"10.1080/15398285.2022.2106404","DOIUrl":"https://doi.org/10.1080/15398285.2022.2106404","url":null,"abstract":"Abstract Objective: This study aimed to categorize and analyze the public response toward third/booster shots of COVID-19 on Twitter. Methods: We downloaded the COVID-19 vaccine booster shots related Tweets using the Twitter API. The collected Tweets were pre-processed to prepare them for analysis by (1) removing non-English language tweets, retweets, emojis, emoticons, non-printable characters, the punctuation marks, and the prepositions, (2) anonymizing the identity of the users, and (3) normalizing various forms of the same words. We used the state-of-the-art BertTopic modeling library to identify the most popular topics. Results: Of 165,048 Tweets collected, 36,908 Tweets were analyzed in this study. From these tweets, we identified 9 topics, which were about Biden administration, Pfizer & BioNTech, Moderna, Johnson & Johnson, eligibility for booster shots, side effects, Donald Trump, variants of the Novel Coronavirus, and conspiracy theory & propaganda. The mean of sentiment was positive in all topics. The lowest and highest mean of sentiments were for the Donald Trump topic (0.0097) and the Johnson & Johnson topic (0.1294), respectively. Conclusions: The topics identified in this study not only accurately reflect the contemporary COVID-19 discussion, but also the high degree of politicization in the USA. While the latter might be a result of our rejection of non-English tweets, it is reassuring to see our fully automated, unsupervised pipeline reliably extract such global features in the data at scale. We, therefore, believe that the methodology presented in this study is mature and useful for other infoveillance studies on a wide variety of topics.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"26 1","pages":"337 - 356"},"PeriodicalIF":0.8,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45089496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/15398285.2022.2136916
A. Pomputius, Margaret Ansell, Jane Morgan-Daniel
Abstract LGBTQIA+ people building families face many health service barriers, often turning to online consumer health information in addition to or instead of navigating heteronormative and cisnormative health care systems. This research evaluated available online resources about family building for LGBTQIA + health consumers, in order to improve awareness of quality resources among librarians, while also highlighting an existing information research and services gap. Librarians located resources that explicitly addressed pregnancy and assisted reproduction information needs of the LGBTQIA + community. Included resources focused on pregnancy and assisted reproduction; excluded resources focused on sexual health, contraception, or unwanted pregnancies. Identified resources were assessed by findability (ease of locating), readability, accessibility, understandability, actionability, and inclusivity.
{"title":"Mapping Pregnancy Resources Available Online to LGBTQIA+ Health Consumers","authors":"A. Pomputius, Margaret Ansell, Jane Morgan-Daniel","doi":"10.1080/15398285.2022.2136916","DOIUrl":"https://doi.org/10.1080/15398285.2022.2136916","url":null,"abstract":"Abstract LGBTQIA+ people building families face many health service barriers, often turning to online consumer health information in addition to or instead of navigating heteronormative and cisnormative health care systems. This research evaluated available online resources about family building for LGBTQIA + health consumers, in order to improve awareness of quality resources among librarians, while also highlighting an existing information research and services gap. Librarians located resources that explicitly addressed pregnancy and assisted reproduction information needs of the LGBTQIA + community. Included resources focused on pregnancy and assisted reproduction; excluded resources focused on sexual health, contraception, or unwanted pregnancies. Identified resources were assessed by findability (ease of locating), readability, accessibility, understandability, actionability, and inclusivity.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"26 1","pages":"433 - 443"},"PeriodicalIF":0.8,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44844000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/15398285.2022.2124494
Maurice J Meade, C. Dreyer
Abstract The purpose of this investigation was to evaluate the content, quality, and readability of orthodontic information contained on the websites of general dental practices located in Australia. An online search strategy was adopted to identify practice websites for evaluation. Websites satisfying inclusion/exclusion criteria were checked for the presence of pre-determined orthodontic treatment-related items. Three validated quality of health information and readability tools were applied for website content assessment. A total of 231 websites satisfied inclusion/exclusion criteria. The mean overall [SD] DISCERN score was 29.87 (6.03)/80, [95%CI: 29.09–30.65]. The majority of the websites (88.3%) recorded poor or very poor DISCERN quality of information scores. Most websites described orthodontic clear aligner treatment (91.3%). Information regarding Invisalign ® was provided by 69.3% and myofunctional therapy by 22.5%. Only 7 (3%) websites indicated that orthodontic retention was indefinite. The mean [SD] Simple Measure of Gobbledygook (SMOG) score was 10.10 [1.31], (95%CI: 9.95–10.25). The SMOG and Flesch Reading Ease scores were closely correlated (r = −0.9041; 95%CI: −0.93 to −0.88; p < 0.0001) and signified difficult-to-read information. The content authors should consider the use of quality information and readability tools to ensure that readers access high-quality and readable information.
{"title":"A Content Analysis of Orthodontic Treatment Information Contained within the Websites of General Dental Practices","authors":"Maurice J Meade, C. Dreyer","doi":"10.1080/15398285.2022.2124494","DOIUrl":"https://doi.org/10.1080/15398285.2022.2124494","url":null,"abstract":"Abstract The purpose of this investigation was to evaluate the content, quality, and readability of orthodontic information contained on the websites of general dental practices located in Australia. An online search strategy was adopted to identify practice websites for evaluation. Websites satisfying inclusion/exclusion criteria were checked for the presence of pre-determined orthodontic treatment-related items. Three validated quality of health information and readability tools were applied for website content assessment. A total of 231 websites satisfied inclusion/exclusion criteria. The mean overall [SD] DISCERN score was 29.87 (6.03)/80, [95%CI: 29.09–30.65]. The majority of the websites (88.3%) recorded poor or very poor DISCERN quality of information scores. Most websites described orthodontic clear aligner treatment (91.3%). Information regarding Invisalign ® was provided by 69.3% and myofunctional therapy by 22.5%. Only 7 (3%) websites indicated that orthodontic retention was indefinite. The mean [SD] Simple Measure of Gobbledygook (SMOG) score was 10.10 [1.31], (95%CI: 9.95–10.25). The SMOG and Flesch Reading Ease scores were closely correlated (r = −0.9041; 95%CI: −0.93 to −0.88; p < 0.0001) and signified difficult-to-read information. The content authors should consider the use of quality information and readability tools to ensure that readers access high-quality and readable information.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"26 1","pages":"396 - 409"},"PeriodicalIF":0.8,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48752277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-02DOI: 10.1080/15398285.2022.2126641
J. Y. Cuan-Baltazar, M. J. Muñóz-Pérez, E. Soto-Vega
Abstract The quality of the health information presented on the Internet is a public health problem, anyone can spread information even if it is false. One factor that influences the quality is the language in which it is presented. It is known that 85% of cancer patients search about their disease, and it influences the decisions they would take concerning their treatment. Spanish speakers are the second largest population after Mandarin Chinese, but the main scientific and medical information is published in English. The aim of this study was to compare the quality of pediatric cancer information on the Internet provided in English and Spanish languages. A Google chrome search was performed in both languages using the words “children cancer.” Three different validated tools to assess the quality of the information were used (JAMA benchmarks, DISCERN and HONcode). For all the tools used, the information in English was of better quality than Spanish information. We found a significant difference between the DISCERN and JAMA benchmark. Only 26.74% of the English and 3.57% of the Spanish websites fit all the DISCERN criteria and 25 % of the English and 13.39% of the Spanish websites fit the 4 JAMA criteria. The HONcode was no different between both languages. The health institutions should verify the health information presented on the Internet and issue recommendations which are the best sites to use.
{"title":"Pediatric Cancer Information on the Internet: A Comparative Study of the Websites Quality in English and Spanish Languages","authors":"J. Y. Cuan-Baltazar, M. J. Muñóz-Pérez, E. Soto-Vega","doi":"10.1080/15398285.2022.2126641","DOIUrl":"https://doi.org/10.1080/15398285.2022.2126641","url":null,"abstract":"Abstract The quality of the health information presented on the Internet is a public health problem, anyone can spread information even if it is false. One factor that influences the quality is the language in which it is presented. It is known that 85% of cancer patients search about their disease, and it influences the decisions they would take concerning their treatment. Spanish speakers are the second largest population after Mandarin Chinese, but the main scientific and medical information is published in English. The aim of this study was to compare the quality of pediatric cancer information on the Internet provided in English and Spanish languages. A Google chrome search was performed in both languages using the words “children cancer.” Three different validated tools to assess the quality of the information were used (JAMA benchmarks, DISCERN and HONcode). For all the tools used, the information in English was of better quality than Spanish information. We found a significant difference between the DISCERN and JAMA benchmark. Only 26.74% of the English and 3.57% of the Spanish websites fit all the DISCERN criteria and 25 % of the English and 13.39% of the Spanish websites fit the 4 JAMA criteria. The HONcode was no different between both languages. The health institutions should verify the health information presented on the Internet and issue recommendations which are the best sites to use.","PeriodicalId":44184,"journal":{"name":"Journal of Consumer Health on the Internet","volume":"26 1","pages":"410 - 422"},"PeriodicalIF":0.8,"publicationDate":"2022-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44326370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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