The Experts below are selected from a list of 172041 Experts worldwide ranked by ideXlab platform

Ronald E Rice - One of the best experts on this subject based on the ideXlab platform.

  • influences usage and outcomes of internet health Information Searching multivariate results from the pew surveys
    International Journal of Medical Informatics, 2006
    Co-Authors: Ronald E Rice
    Abstract:

    This paper provides results from seven major nationally representative datasets (two in detail) from the Pew Internet and American Life Project to answer two primary questions: (1) what influences people to seek online health Information and (2) what influences their perceived outcomes from having access to this Information? Cross-tabulations, logistic regressions, and multidimensional scaling are applied to these survey datasets. The strongest and most consistent influences on ever, or more frequently, using the Internet to search for health Information were sex (female), employment (not fulltime), engaging in more other Internet activities, more specific health reasons (diagnosed with new health problem, ongoing medical condition, prescribed new medication or treatment), and helping another deal with health issues. Internet health seeking is consistently similar to general Internet activities such as email, news, weather, and sometimes hobbies. A variety of outcomes from or positive assessments of Searching for Internet health Information are predicted most strongly by sex (female), engaging in other Internet activities, Internet health Information seeking including more frequent health seeking, more specific health reasons, belonging to an online support group sharing health interests, and helping another deal with an illness or major health condition.

  • influences usage and outcomes of internet health Information Searching multivariate results from the pew surveys
    International Journal of Medical Informatics, 2006
    Co-Authors: Ronald E Rice
    Abstract:

    This paper provides results from seven major nationally representative datasets (two in detail) from the Pew Internet and American Life Project to answer two primary questions: (1) what influences people to seek online health Information and (2) what influences their perceived outcomes from having access to this Information? Cross-tabulations, logistic regressions, and multidimensional scaling are applied to these survey datasets. The strongest and most consistent influences on ever, or more frequently, using the Internet to search for health Information were sex (female), employment (not fulltime), engaging in more other Internet activities, more specific health reasons (diagnosed with new health problem, ongoing medical condition, prescribed new medication or treatment), and helping another deal with health issues. Internet health seeking is consistently similar to general Internet activities such as email, news, weather, and sometimes hobbies. A variety of outcomes from or positive assessments of Searching for Internet health Information are predicted most strongly by sex (female), engaging in other Internet activities, Internet health Information seeking including more frequent health seeking, more specific health reasons, belonging to an online support group sharing health interests, and helping another deal with an illness or major health condition. (c) 2005 Elsevier Ireland Ltd. All rights reserved.

Jeanclaude Stahl - One of the best experts on this subject based on the ideXlab platform.

  • the application of foraging theory to the Information Searching behaviour of general practitioners
    BMC Family Practice, 2011
    Co-Authors: Mai Dwairy, Anthony Dowell, Jeanclaude Stahl
    Abstract:

    Background General Practitioners (GPs) employ strategies to identify and retrieve medical evidence for clinical decision making which take workload and time constraints into account. Optimal Foraging Theory (OFT) initially developed to study animal foraging for food is used to explore the Information Searching behaviour of General Practitioners. This study is the first to apply foraging theory within this context. Study objectives were: 1. To identify the sequence and steps deployed in identifiying and retrieving evidence for clinical decision making. 2. To utilise Optimal Foraging Theory to assess the effectiveness and efficiency of General Practitioner Information Searching.

  • the application of foraging theory to the Information Searching behaviour of general practitioners
    BMC Family Practice, 2011
    Co-Authors: Mai Dwairy, Anthony Dowell, Jeanclaude Stahl
    Abstract:

    General Practitioners (GPs) employ strategies to identify and retrieve medical evidence for clinical decision making which take workload and time constraints into account. Optimal Foraging Theory (OFT) initially developed to study animal foraging for food is used to explore the Information Searching behaviour of General Practitioners. This study is the first to apply foraging theory within this context. Study objectives were: 1. To identify the sequence and steps deployed in identifiying and retrieving evidence for clinical decision making. 2. To utilise Optimal Foraging Theory to assess the effectiveness and efficiency of General Practitioner Information Searching. GPs from the Wellington region of New Zealand were asked to document in a pre-formatted logbook the steps and outcomes of an Information search linked to their clinical decision making, and fill in a questionnaire about their personal, practice and Information-Searching backgrounds. A total of 115/155 eligible GPs returned a background questionnaire, and 71 completed their Information search logbook. GPs spent an average of 17.7 minutes addressing their search for clinical Information. Their preferred Information sources were discussions with colleagues (38% of sources) and books (22%). These were the two most profitable Information foraging sources (15.9 min and 9.5 min search time per answer, compared to 34.3 minutes in databases). GPs nearly always accessed another source when unsuccessful (95% after 1st source), and frequently when successful (43% after 2nd source). Use of multiple sources accounted for 41% of searches, and increased search success from 70% to 89%. By consulting in foraging terms the most 'profitable' sources of Information (colleagues, books), rapidly switching sources when unsuccessful, and frequently double checking, GPs achieve an efficient trade-off between maximizing search success and Information reliability, and minimizing Searching time. As predicted by foraging theory, GPs trade time-consuming evidence-based (electronic) Information sources for sources with a higher Information reward per unit time searched. Evidence-based practice must accommodate these 'real world' foraging pressures, and Internet resources should evolve to deliver Information as effectively as traditional methods of Information gathering.

Jyotishman Pathak - One of the best experts on this subject based on the ideXlab platform.

  • analysis of online Information Searching for cardiovascular diseases on a consumer health Information portal
    American Medical Informatics Association Annual Symposium, 2014
    Co-Authors: Ashutosh Sopan Jadhav, Amit P Sheth, Jyotishman Pathak
    Abstract:

    Since the early 2000’s, Internet usage for health Information Searching has increased significantly. Studying search queries can help us to understand users “Information need” and how do they formulate search queries (“expression of Information need”). Although cardiovascular diseases (CVD) affect a large percentage of the population, few studies have investigated how and what users search for CVD. We address this knowledge gap in the community by analyzing a large corpus of 10 million CVD related search queries from MayoClinic.com. Using UMLS MetaMap and UMLS semantic types/concepts, we developed a rule-based approach to categorize the queries into 14 health categories. We analyzed structural properties, types (keyword-based/Wh-questions/Yes-No questions) and linguistic structure of the queries. Our results show that the most searched health categories are ‘Diseases/Conditions’, ‘Vital-Sings’, ‘Symptoms’ and ‘Living-with’. CVD queries are longer and are predominantly keyword-based. This study extends our knowledge about online health Information Searching and provides useful insights for Web search engines and health websites.

  • evaluating the process of online health Information Searching a qualitative approach to exploring consumer perspectives
    Journal of Medical Internet Research, 2014
    Co-Authors: Alexander Fiksdal, Ashutosh Sopan Jadhav, Jyotishman Pathak, Ashok Kumbamu, Christian Cocos, Laurie A Nelsen, Jennifer B Mccormick
    Abstract:

    Background: The Internet is a common resource that patients and consumers use to access health-related Information. Multiple practical, cultural, and socioeconomic factors influence why, when, and how people utilize this tool. Improving the delivery of health-related Information necessitates a thorough understanding of users’ Searching-related needs, preferences, and experiences. Although a wide body of quantitative research examining search behavior exists, qualitative approaches have been under-utilized and provide unique perspectives that may prove useful in improving the delivery of health Information over the Internet. Objective: We conducted this study to gain a deeper understanding of online health-Searching behavior in order to inform future developments of personalizing Information Searching and content delivery. Methods: We completed three focus groups with adult residents of Olmsted County, Minnesota, which explored perceptions of online health Information Searching. Participants were recruited through flyers and classifieds advertisements posted throughout the community. We audio-recorded and transcribed all focus groups, and analyzed data using standard qualitative methods. Results: Almost all participants reported using the Internet to gather health Information. They described a common experience of Searching, filtering, and comparing results in order to obtain Information relevant to their intended search target. Information saturation and fatigue were cited as main reasons for terminating Searching. This Information was often used as a resource to enhance their interactions with health care providers. Conclusions: Many participants viewed the Internet as a valuable tool for finding health Information in order to support their existing health care resources. Although the Internet is a preferred source of health Information, challenges persist in streamlining the search process. Content providers should continue to develop new strategies and technologies aimed at accommodating diverse populations, vocabularies, and health Information needs. [J Med Internet Res 2014;16(10):e224]

  • online Information Searching for cardiovascular diseases an analysis of mayo clinic search query logs
    2014
    Co-Authors: Ashutosh Sopan Jadhav, Amit P Sheth, Jyotishman Pathak
    Abstract:

    Since the early 2000’s, Internet usage for health Information Searching has increased significantly. Studying search queries can help us to understand users “Information need” and how do they formulate search queries (“expression of Information need”). Although cardiovascular diseases (CVD) affect a large percentage of the population, few studies have investigated how and what users search for CVD. We address this knowledge gap in the community by analyzing a large corpus of 10 million CVD related search queries from MayoClinic.com. Using UMLS MetaMap and UMLS semantic types/concepts, we developed a rule-based approach to categorize the queries into 14 health categories. We analyzed structural properties, types (keyword-based/Wh-questions/Yes-No questions) and linguistic structure of the queries. Our results show that the most searched health categories are ‘Diseases/Conditions’, ‘VitalSings’, ‘Symptoms’ and ‘Living-with’. CVD queries are longer and are predominantly keyword-based. This study extends our knowledge about online health Information Searching and provides useful insights for Web search engines and health websites.

Ashutosh Sopan Jadhav - One of the best experts on this subject based on the ideXlab platform.

  • analysis of online Information Searching for cardiovascular diseases on a consumer health Information portal
    American Medical Informatics Association Annual Symposium, 2014
    Co-Authors: Ashutosh Sopan Jadhav, Amit P Sheth, Jyotishman Pathak
    Abstract:

    Since the early 2000’s, Internet usage for health Information Searching has increased significantly. Studying search queries can help us to understand users “Information need” and how do they formulate search queries (“expression of Information need”). Although cardiovascular diseases (CVD) affect a large percentage of the population, few studies have investigated how and what users search for CVD. We address this knowledge gap in the community by analyzing a large corpus of 10 million CVD related search queries from MayoClinic.com. Using UMLS MetaMap and UMLS semantic types/concepts, we developed a rule-based approach to categorize the queries into 14 health categories. We analyzed structural properties, types (keyword-based/Wh-questions/Yes-No questions) and linguistic structure of the queries. Our results show that the most searched health categories are ‘Diseases/Conditions’, ‘Vital-Sings’, ‘Symptoms’ and ‘Living-with’. CVD queries are longer and are predominantly keyword-based. This study extends our knowledge about online health Information Searching and provides useful insights for Web search engines and health websites.

  • evaluating the process of online health Information Searching a qualitative approach to exploring consumer perspectives
    Journal of Medical Internet Research, 2014
    Co-Authors: Alexander Fiksdal, Ashutosh Sopan Jadhav, Jyotishman Pathak, Ashok Kumbamu, Christian Cocos, Laurie A Nelsen, Jennifer B Mccormick
    Abstract:

    Background: The Internet is a common resource that patients and consumers use to access health-related Information. Multiple practical, cultural, and socioeconomic factors influence why, when, and how people utilize this tool. Improving the delivery of health-related Information necessitates a thorough understanding of users’ Searching-related needs, preferences, and experiences. Although a wide body of quantitative research examining search behavior exists, qualitative approaches have been under-utilized and provide unique perspectives that may prove useful in improving the delivery of health Information over the Internet. Objective: We conducted this study to gain a deeper understanding of online health-Searching behavior in order to inform future developments of personalizing Information Searching and content delivery. Methods: We completed three focus groups with adult residents of Olmsted County, Minnesota, which explored perceptions of online health Information Searching. Participants were recruited through flyers and classifieds advertisements posted throughout the community. We audio-recorded and transcribed all focus groups, and analyzed data using standard qualitative methods. Results: Almost all participants reported using the Internet to gather health Information. They described a common experience of Searching, filtering, and comparing results in order to obtain Information relevant to their intended search target. Information saturation and fatigue were cited as main reasons for terminating Searching. This Information was often used as a resource to enhance their interactions with health care providers. Conclusions: Many participants viewed the Internet as a valuable tool for finding health Information in order to support their existing health care resources. Although the Internet is a preferred source of health Information, challenges persist in streamlining the search process. Content providers should continue to develop new strategies and technologies aimed at accommodating diverse populations, vocabularies, and health Information needs. [J Med Internet Res 2014;16(10):e224]

  • online Information Searching for cardiovascular diseases an analysis of mayo clinic search query logs
    2014
    Co-Authors: Ashutosh Sopan Jadhav, Amit P Sheth, Jyotishman Pathak
    Abstract:

    Since the early 2000’s, Internet usage for health Information Searching has increased significantly. Studying search queries can help us to understand users “Information need” and how do they formulate search queries (“expression of Information need”). Although cardiovascular diseases (CVD) affect a large percentage of the population, few studies have investigated how and what users search for CVD. We address this knowledge gap in the community by analyzing a large corpus of 10 million CVD related search queries from MayoClinic.com. Using UMLS MetaMap and UMLS semantic types/concepts, we developed a rule-based approach to categorize the queries into 14 health categories. We analyzed structural properties, types (keyword-based/Wh-questions/Yes-No questions) and linguistic structure of the queries. Our results show that the most searched health categories are ‘Diseases/Conditions’, ‘VitalSings’, ‘Symptoms’ and ‘Living-with’. CVD queries are longer and are predominantly keyword-based. This study extends our knowledge about online health Information Searching and provides useful insights for Web search engines and health websites.

Mai Dwairy - One of the best experts on this subject based on the ideXlab platform.

  • the application of foraging theory to the Information Searching behaviour of general practitioners
    BMC Family Practice, 2011
    Co-Authors: Mai Dwairy, Anthony Dowell, Jeanclaude Stahl
    Abstract:

    Background General Practitioners (GPs) employ strategies to identify and retrieve medical evidence for clinical decision making which take workload and time constraints into account. Optimal Foraging Theory (OFT) initially developed to study animal foraging for food is used to explore the Information Searching behaviour of General Practitioners. This study is the first to apply foraging theory within this context. Study objectives were: 1. To identify the sequence and steps deployed in identifiying and retrieving evidence for clinical decision making. 2. To utilise Optimal Foraging Theory to assess the effectiveness and efficiency of General Practitioner Information Searching.

  • the application of foraging theory to the Information Searching behaviour of general practitioners
    BMC Family Practice, 2011
    Co-Authors: Mai Dwairy, Anthony Dowell, Jeanclaude Stahl
    Abstract:

    General Practitioners (GPs) employ strategies to identify and retrieve medical evidence for clinical decision making which take workload and time constraints into account. Optimal Foraging Theory (OFT) initially developed to study animal foraging for food is used to explore the Information Searching behaviour of General Practitioners. This study is the first to apply foraging theory within this context. Study objectives were: 1. To identify the sequence and steps deployed in identifiying and retrieving evidence for clinical decision making. 2. To utilise Optimal Foraging Theory to assess the effectiveness and efficiency of General Practitioner Information Searching. GPs from the Wellington region of New Zealand were asked to document in a pre-formatted logbook the steps and outcomes of an Information search linked to their clinical decision making, and fill in a questionnaire about their personal, practice and Information-Searching backgrounds. A total of 115/155 eligible GPs returned a background questionnaire, and 71 completed their Information search logbook. GPs spent an average of 17.7 minutes addressing their search for clinical Information. Their preferred Information sources were discussions with colleagues (38% of sources) and books (22%). These were the two most profitable Information foraging sources (15.9 min and 9.5 min search time per answer, compared to 34.3 minutes in databases). GPs nearly always accessed another source when unsuccessful (95% after 1st source), and frequently when successful (43% after 2nd source). Use of multiple sources accounted for 41% of searches, and increased search success from 70% to 89%. By consulting in foraging terms the most 'profitable' sources of Information (colleagues, books), rapidly switching sources when unsuccessful, and frequently double checking, GPs achieve an efficient trade-off between maximizing search success and Information reliability, and minimizing Searching time. As predicted by foraging theory, GPs trade time-consuming evidence-based (electronic) Information sources for sources with a higher Information reward per unit time searched. Evidence-based practice must accommodate these 'real world' foraging pressures, and Internet resources should evolve to deliver Information as effectively as traditional methods of Information gathering.