scholarly journals Smokers’ curiosity for tobacco-related trivia aids memory of tobacco-related information

2021 ◽  
Author(s):  
Jaydin Clark ◽  
Asia Vincent ◽  
Xinyi Wang ◽  
Amanda Lee McGowan ◽  
David M. Lydon-Staley
Keyword(s):  
Health Information ◽  
Memory Task ◽  
Related Information ◽  
Open Questions

Curiosity promotes learning. Two open questions concern the extent to which tobacco smokers exhibit curiosity about smoking-related health information and whether this curiosity can facilitate recall of this information. Participants (n=324 smokers; n=280 non-smokers) performed a Trivia Guessing Task wherein participants guessed the answers to general trivia and smoking-related trivia questions and provided ratings of their curiosity prior to viewing the answers to the questions. A subset of participants (n=121 smokers; n=97 non-smokers) completed a surprise Trivia Memory Task one-week later and answered the previously-viewed questions. Results indicate that smokers are no less curious about smoking-related trivia than they are about general trivia and that curiosity about the answer to smoking-related trivia is associated with more accurate recall of smoking-related trivia answers one week later. Findings suggest that engendering states of curiosity for smoking-related information may facilitate retention of that information in smokers.

The influence of public health information sharing on social media during the early COVID-19 outbreak

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiao-Chieh Chen ◽  
Yu-Ping Chiu
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Health Information ◽  
Content Type ◽  
Related Information ◽  
Activity Effect ◽  
Network Cluster ◽  
Public Health Information ◽  
Health Information Sharing

PurposeSocial media have become famous platform to search and share the COVID-19-related information. The objective of this research is to bridge the gap by proposing the effects of network cluster and transmitter activity on information sharing process.Design/methodology/approachData were collected by using Facebook application, which was available for 14 days (May 1–14) in 2020. These data were analyzed to determine the influence of the network cluster and transmitter activity.FindingsThe results showed that network cluster is positively related to transmitter activity on social media. In addition, transmitter activity partially mediated the effect of network cluster on the extent of information liked and shared. That is, transmitter activity can affect COVID-19-related information sharing on Facebook, and the activity effect is plausible and should become stronger as social network become denser.Originality/valueThis study has contributed to the knowledge of health information sharing in social media and has generated new opportunities for research into the role of network cluster. As social media is firmly entrenched in society, researches that improve the experience or quality for users is potentially impactful.

scholarly journals THE ROLE OF HEALTH INFORMATION SYSTEM IN MATERNAL AND CHILD HEALTHCARE SERVICES

2017 ◽  
Vol 10 (6) ◽  
pp. 29
Author(s):  
Rakhi Chowdhury ◽  
Leena Kumari ◽  
Subhamay Panda
Keyword(s):  
Health Care ◽  
Information System ◽  
Child Health ◽  
Health Information ◽  
Maternal And Child Health ◽  
Health Information System ◽  
Health Care Sector ◽  
Related Information ◽  
Health Related ◽  
And Child Health

Health information system deals with any system that helps in capturing, storing, transmitting, and managing health-related information of an individual or to demonstrate the activities or organizations working within health-care sector. In the developing countries, maternal and child health is gaining concern due to increasing cases of morbidity and mortality. The disparities among the maternal, infant, and child health are a growing concern in India and are governed by various determinants such as socioeconomic status, literacy, quality of health care, discrimination, and biological and genetic factors. Accurate and reliable health information and data are the basis for decision-making across the health-care sector and are crucial for the development and implementation of health system policy by the policy-makers. Strict monitoring and evaluation of the present program design and its implementation is required at the microlevel to effectively utilize the resources for the improvement of maternal and child health. Our present article focuses on evaluating the coverage gap at the different levels for the provision of health-care facilities to maternal, neonatal, and child health, immunization, and treatment of poor children. Big data plays a major role in providing sound and reliable health-related information and also help in managing and recording structured and unstructured data. More concrete plans are required further to reduce the inequalities in health-care interventions for providing better maternal and child health-care services in our nation.

scholarly journals Development of an Instrument to Assess Parents’ Excessive Web-Based Searches for Information Pertaining to Their Children’s Health: The “Children’s Health Internet Research, Parental Inventory” (CHIRPI)

10.2196/16148 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e16148
Author(s):  
Antonia Barke ◽  
Bettina K Doering
Keyword(s):  
Health Information ◽  
Health Anxiety ◽  
Chronically Ill ◽  
Children's Health ◽  
Internet Research ◽  
Children’S Health ◽  
Web Based ◽  
Related Information ◽  
Health Related ◽  
Main Effects

Background People often search the internet to obtain health-related information not only for themselves but also for family members and, in particular, their children. However, for a minority of parents, such searches may become excessive and distressing. Little is known about excessive web-based searching by parents for information regarding their children’s health. Objective This study aimed to develop and validate an instrument designed to assess parents' web-based health information searching behavior, the Children’s Health Internet Research, Parental Inventory (CHIRPI). Methods A pilot survey was used to establish the instrument (21 items). CHIRPI was validated online in a second sample (372/384, 96.9% mothers; mean age 32.7 years, SD 5.8). Item analyses, an exploratory factor analysis (EFA), and correlations with parents’ perception of their children’s health-related vulnerability (Child Vulnerability Scale, CVS), parental health anxiety (modified short Health Anxiety Inventory, mSHAI), and parental cyberchondria (Cyberchondria Severity Scale, CSS-15) were calculated. A subset of participants (n=73) provided retest data after 4 weeks. CHIRPI scores (total scores and subscale scores) of parents with a chronically ill child and parents who perceived their child to be vulnerable (CVS+; CVS>10) were compared with 2×2 analyses of variances (ANOVAs) with the factors Child’s Health Status (chronically ill vs healthy) and perceived vulnerability (CVS+ vs CVS−). Results CHIRPI’s internal consistency was standardized alpha=.89. The EFA identified three subscales: Symptom Focus (standardized alpha=.87), Implementing Advice (standardized alpha=.74) and Distress (standardized alpha=.89). The retest reliability of CHIRPI was measured as rtt=0.78. CHIRPI correlated strongly with CSS-15 (r=0.66) and mSHAI (r=0.39). The ANOVAs comparing the CHIRPI total score and the subscale scores for parents having a chronically ill child and parents perceiving their child as vulnerable revealed the main effects for perceiving one’s child as vulnerable but not for having a chronically ill child. No interactions were found. This pattern was observed for the CHIRPI total score (η2=0.053) and each subscale (Symptom Focus η2=0.012; Distress η2=0.113; and Implementing Advice η2=0.018). Conclusions The psychometric properties of CHIRPI are excellent. Correlations with mSHAI and CSS-15 indicate its validity. CHIRPI appears to be differentially sensitive to excessive searches owing to parents perceiving their child’s health to be vulnerable rather than to higher informational needs of parents with chronically ill children. Therefore, it may help to identify parents who search excessively for web-based health information. CHIRPI (and, in particular, the Distress subscale) seems to capture a pattern of factors related to anxious health-related cognitions, emotions, and behaviors of parents, which is also applied to their children.

scholarly journals Online Health Information Seeking by Parents for Their Children: Systematic Review and Agenda for Further Research

10.2196/19985 ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. e19985
Author(s):  
Christian Kubb ◽  
Heather M Foran
Keyword(s):  
Systematic Review ◽  
Conceptual Model ◽  
Health Information ◽  
Information Seeking ◽  
Online Health Information ◽  
Health Information Seeking ◽  
Related Information ◽  
Health Related ◽  
Online Health Information Seeking ◽  
The Web

Background Parents commonly use the internet to search for information about their child’s health-related symptoms and guide parental health-related decisions. Despite the impact of parental online health seeking on offline health behaviors, this area of research remains understudied. Previous literature has not adequately distinguished searched behaviors when searching for oneself or one`s child. Objective The purpose of this review is to examine prevalences and associated variables of parent-child online health information seeking; investigate parents’ health-related online behavior regarding how they find, use, and evaluate information; and identify barriers and concerns that they experience during the search. Based on this analysis, we develop a conceptual model of potentially important variables of proxy online health information seeking, with a focus on building an agenda for further research. Methods We conducted a comprehensive systematic literature review of the PsycINFO, JMIR, and PubMed electronic databases. Studies between January 1994 and June 2018 were considered. The conceptual model was developed using an inductive mixed methods approach based on the investigated variables in the study sample. Results A total of 33 studies met the inclusion criteria. Findings suggest that parents worldwide are heavy online users of health-related information for their children across highly diverse circumstances. A total of 6 studies found high parental health anxiety, with prevalences ranging from 14% to 52%. Although parents reported wishing for more guidance from their pediatrician on how to find reliable information, they rarely discussed retrieved information from the web. The conceptual model of proxy online health information seeking includes 49 variables. Conclusions This systematic review identifies important gaps regarding the influence of health-related information on parents’ health behavior and outcomes. Follow-up studies are required to offer parents guidance on how to use the web for health purposes in an effective way, as well as solutions to the multifaceted problems during or after online health information seeking for their child. The conceptual model with the number of studies in each model category listed highlights how previous studies have hardly considered relational variables between the parent and child. An agenda for future research is presented.

Online Health Information Consumers’ Learning across Health-Related Search Tasks from the Perspective of Retrieval Platform Switching (Preprint)

2021 ◽  
Author(s):  
Yijing Chen ◽  
Hanming Lin ◽  
Jin Zhang ◽  
Yiming Zhao
Keyword(s):  
Information Retrieval ◽  
Health Information ◽  
Information Search ◽  
Health Knowledge ◽  
Online Health Information ◽  
Related Information ◽  
Search Tasks ◽  
Health Related ◽  
Platform Switching ◽  
Information Consumers

BACKGROUND Online health information retrieval has been a top choice for acquiring health information and knowledge by millions worldwide. OBJECTIVE This study aims to investigate consumers’ modification of retrieval platform switch paths across health-related search tasks and learning via such a change. METHODS A lab user experiment was designed to obtain data on consumers’ health information search behavior. Participants accomplished health-related information search tasks. Screen movements were recorded by EV screen-recording software. The participants underwent in-depth interviews immediately after finishing the tasks. Screen recordings and interview data were both coded and analyzed. RESULTS Three types of learning, including the similar transfer learning, optimizing learning, and SERP-guided learning were identified based on five change patterns of retrieval platform switch paths adopted by health information consumers from task 1 to task 2. Health information consumers’ retrieval platform switch based on information usefulness evaluation. And they accessed different amounts and types of health knowledge from different retrieval platforms. CONCLUSIONS The results suggest that health information consumers exhibit learning both through retrieval platform switching and the knowledge they consume during the search process. This facilitates the assessment of a certain retrieval platform’s usefulness by measuring the amount and types of health knowledge in each search result. This study also contributes to the enhancement of consumers’ health information retrieval abilities, and to helping optimize health information retrieval platforms by increasing their exposure to consumers and increasing the matching degree between knowledge types and consumer needs.

Abstract 249: Online Health Information for Myocardial Infarction: Trusted Source or Fake News?

2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Vishak Kumar ◽  
Mohammed Abualenain ◽  
Andrew D Choi
Keyword(s):  
Myocardial Infarction ◽  
Health Information ◽  
Grade Level ◽  
Medical Information ◽  
Search Term ◽  
Total Quality ◽  
Related Information ◽  
Health Related ◽  
Mozilla Firefox ◽  
Assess Quality

Objective: As the internet is a leading destination for health information for patients, there is a need for this information to be accurate and easy to understand. In this study, we assessed the quality and readability of online health related information for myocardial infarction (MI) directed towards patients. Methods: Websites were collected from 3 search engines (Google, Yahoo! and Bing) using the search term “Heart Attack” on a newly installed Mozilla Firefox browser. The first 30 websites from each engine were selected and those belonging to advertisements, new articles and physician oriented sites were excluded. The resulting sites were assessed for quality using the DISCERN instrument via 2 physician investigators knowledgeable in MI and blinded to each other’s results; following this, the results were discussed amidst the team to agree on a coalesced score for each website. Health On the Net (HONcode) was also used as an added measure to assess quality. Readability was assessed using the Flesch-Kincaid Readability Ease (FLRE) and the Flesch-Kincaid Grade level (FLGL) tool. Results: Overall, 24 websites were assessed. The average overall quality for DISCERN was 2.58 out of 5 with a median of 2.5 while the average total DISCERN score was 37.75 out of 80; the highest total quality among them being 61 out of 80. Only 29.17% (7 of 24) of the websites were HONcode certified. The average FLRE was 59.07 out of 100, while the average FLGL was 7.28 with the lowest grade level being 5.20. Conclusion: Patient health related information, on average, were of lower quality, while those higher quality websites were deemed less readable and needed a higher level of education to understand. The average reading grade level was that of the 7 th grade which is lower than what the average American reads at (8 th grade). The highest quality website based on total DISCERN score was from Wikipedia, however FLRE and FLGL tell us it was also harder to comprehend for the average American. Going forward there are important opportunities to improve the quality of online health related information for MI, in order to remain a trusted source of medical information for patients.

Quality of Health Information on the Internet

2009 ◽  
pp. 443-455
Author(s):  
Kleopatra Alamantariotou
Keyword(s):  
Health Information ◽  
Information Quality ◽  
Relevant Information ◽  
The Internet ◽  
High Quality ◽  
Related Information ◽  
Health Related ◽  
Use Of The Internet ◽  
Effective Use

Recent statistics show that the World Wide Web has now grown to over 100 million sites: a phenomenal expansion in only 15 years (Mulligan 2007). It has been estimated that there are 100,000 sites offering health related information (Wilson 2002). As the amount of health information increases, the public find it increasingly difficult to decide what to accept and what to reject (Burgess 2007). Searching for information on the internet is both deceptively easy and the same time frustratingly difficult (Kiley 2002). The challenge for consumers is to find high quality, relevant information as quickly as possible. There has been ongoing debate about the quality of information aimed at patients and the general public and opinions differ on how it can be improved (Stepperd 1999). The purpose of this chapter is to provide a brief overview of the different perspectives on information quality and to review the main criteria for assessing the quality of health information on the internet. Pointers are provided to enable both clinicians and patients find high quality information sources. An understanding of these issues should help health professionals and patients to make effective use of the internet.

Mining of Medical Trends Using Social Networks

2016 ◽  
pp. 164-182
Author(s):  
Shruti Kohli ◽  
Sonia Saini
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Language Processing ◽  
Social Intelligence ◽  
Medical Information ◽  
Related Information ◽  
Public Health Information ◽  
Health Related ◽  
Post Marketing ◽  
The Media

Recent work in machine learning and natural language processing has studied the content of health related information in tweets and demonstrated the potential for extracting useful public health information from their aggregation. Social intelligence derived from health content has become of significant importance for various applications, including post-marketing drug surveillance, competitive intelligence, medicine reviews and to assess health-related opinions and sentiments. Further, the quantity of medical information in the media such as tweets on Twitter, Facebook or medical blogs is growing at an exponential rate. Medical data such as health records, drug data, etc. has become major candidates for Big Data analysis and thus exploring this content has become a necessity for organizations. However, the volume, velocity, variety, and quality of online health information present challenges, necessitating enhanced facilitation mechanisms for medical social computing. The objective of this chapter is to discuss the possibility of mining medical trends using Social Networks.

scholarly journals Leveraging Conversational Technology to Answer Common COVID-19 Questions

2020 ◽  
Author(s):  
Mollie McKillop ◽  
Brett R South ◽  
Anita Preininger ◽  
Mitch Mason ◽  
Gretchen Purcell Jackson
Keyword(s):  
Health Information ◽  
Information Needs ◽  
One Health ◽  
Conversational Agents ◽  
Governmental Agencies ◽  
Related Information ◽  
Wide Range ◽  
The Mean ◽  
Pandemic Response ◽  
Conversational Turns

Abstract The rapidly evolving science about the Coronavirus Disease 2019 (COVID-19) pandemic created unprecedented health information needs and dramatic changes in policies globally. We describe a platform, Watson AssistantTM (WA), which has been used to develop conversational agents to deliver COVID-19 related information. We characterized the diverse use cases and implementations during the early pandemic and measured adoption through number of users, messages sent, and conversational turns (i.e., pairs of interactions between users and agents). Thirty-seven institutions in nine countries deployed COVID-19 conversational agents with WA between March 30 and August 10, 2020, including 24 governmental agencies, seven employers, five provider organizations, and one health plan. Over 6.8 million messages were delivered through the platform. The mean number of conversational turns per session ranged between 1.9 and 3.5. Our experience demonstrates that conversational technologies can be rapidly deployed for pandemic response and are adopted globally by a wide range of users.

Internet for providing healthinformation and education to patients - knowledge, attitude and practice of mental health professionals in North Wales UK

2011 ◽  
Vol 26 (S2) ◽  
pp. 1117-1117
Author(s):  
A. Jauhari ◽  
M.K. Tiptur ◽  
A. Jauhari ◽  
M. Krishna
Keyword(s):  
Mental Health ◽  
Health Information ◽  
Mental Health Professionals ◽  
Health Professionals ◽  
Mental Health Information ◽  
Related Information ◽  
Attitude And Practice ◽  
North Wales ◽  
Health Related ◽  
Knowledge Attitude And Practice

IntroductionInternet is the fastest growing medium and more than 50 million people seek health information online1. Almost a third of internet users with history of psychiatric disorder had used the internet to seek mental health information2.MethodA survey was conducted amongst North Wales, UK mental health professionals to understand their knowledge, attitude and practice about this topic. A total of 100 questionnaires were distributed out of which 71 responses were received.ResultAbout 39% mental health professionals believed that consultation is the best way to give mental health related information to the patients. Only 5% of mental health professionals always and 46% sometimes advised patients to look at internet for mental health related information. About 50% felt that internet will increase patient's understanding of their illness and 37% felt that it will improve their compliance. Sixty percent people felt that mental health information on internet is evidence-based. About 30% of the mental health professionals thought that the use of internet by mental health patients will increase the patient's anxiety and will increase their visit to the doctor. Majority did not have enough knowledge of websites to suggest to the patients.ConclusionMost professionals thought that it is a useful concept but further awareness about evidence-based website for professionals is needed.

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