Titel och upphov Cognitive informatics in health and biomedicine : understanding and modeling health behaviors
Utgivning, distribution etc. Cham, Switzerland : Springer, [2017]
National Library of Medicine (NLM) klassifikationskod
DDC klassifikationskod (Dewey Decimal Classification)
Fysisk beskrivning 1 online resource (xxiii, 383 pages).
Serietitel - ej biuppslagsform
Anmärkning: Bibliografi etc. Includes bibliographical references and index.
Anmärkning: Innehåll Foreword; References; Preface; Contents; Editors and Contributors; Part I: Introduction to the Role of Cognitive Issues in Health Behaviors and the Design of Interventions; Chapter 1: Cognitive Informatics and Behavior Change in the Health Care Domain; 1.1 Behavioral-Psychological Models; 1.2 Cognitive-Psychological Models; 1.3 Conceptual Understanding and Health Care Decisions; 1.4 Theories, Models and Frameworks; 1.5 Future Directions; References; Chapter 2: Design and Implementation of Behavioral Informatics Interventions; 2.1 Introduction; 2.2 Behavioral Informatics Interventions. 2.2.1 Definition and Health Domains2.2.2 Mode of Delivery; Computer-Based and Web-Based BI Interventions; Social media; Mobile Health (mHealth); 2.2.3 Behavior Change Theories, Models and Techniques; Health Belief Model; Theory of Reasoned Action and Theory of Planned Behavior; Social Cognitive Theory; Transtheoretical Model of Behavior Change; The COM-B Framework and the Behavior Change Wheel; The Behavior Change Technique Taxonomy; 2.2.4 Design, Development, Evaluation and Implementation Aspects; 2.3 Conclusion; References; Part II: Understanding Public Health Beliefs. Chapter 3: Making Sense of Health Problems: Folk Cognition and Healthcare Decisions3.1 Introduction; 3.2 The Socio-cultural Context in Folk Cognition; 3.3 Social and Cultural Influences on Healthcare Practices in Less-Developed Countries; 3.3.1 Making Sense of Health Related Problems in Local Contexts; Mothers' Interpreting Instructions for Oral Rehydration Therapy for Children: Kenya; Children's Comprehension and Problems Solving: Colombia and India; Comprehension of Sequences; Depth of Knowledge Representation; Children's Reasoning About Theory and Evidence. Zimbabwe: Women's Beliefs and Reasoning About Contraception: Making Sense of Something Makes No Sense Outside Culture (Percival and Patel 1993)3.4 Conclusion; References; Chapter 4: Toward a Framework for Understanding Embodied Health Literacy; 4.1 Introduction; 4.2 Health Literacy as Discourse Comprehension; 4.3 Readability and Comprehensibility of Health Information; 4.4 Other Factors Involved in Text Difficulty; 4.5 What Is Health Literacy?; 4.6 The Scope of Health Literacy and Numeracy Assessment; 4.7 Measurement and Hypothesis Testing: Some Methodological Issues. 4.8 Pushing the Boundaries: Toward Embodied Cognitive AssessmentReferences; Chapter 5: Models of Health Beliefs in South India: Impact on Managing Childhood Nutritional Illnesses; 5.1 Global Ethnic Diversity and the Challenges for Health Care; 5.1.1 Models of Health Beliefs in Different Cultures; 5.2 Culture and Related Health Behavior in India; 5.2.1 Traditional Medicine in India; 5.2.2 Influence of Traditional Medicine on Health Beliefs Regarding Childhood Illnesses in India; 5.3 Study Design; 5.3.1 Demographics of Study Population; 5.3.2 Health Domain in Focus; 5.3.3 Data Collection.
Anmärkning: Innehållsbeskrivning, sammanfattning As health care is moving toward a team effort with patients as partners, this book provides guidance on the optimized use of health information and supporting technologies, and how people think and make decisions that affect their health and wellbeing. It focuses on investigations of how general public understand health information, assess risky behaviors, make healthcare decisions, and how they use health information technologies. e-health technologies have opened up new horizons for promoting increased self-reliance in patients. Although information technologies are now in widespread use, there is often a disparity between the scientific and technological knowledge underlying health care practices and the cultural beliefs, mental models, and cognitive representations of illness and disease. Misconceptions based on inaccurate perceptions and mental models, and flawed prior beliefs could lead to miscommunication as well as to erroneous decisions about individuals' own health or the health of their family members. Cognitive Informatics in Health and Biomedicine: Understanding and Modeling Health Behaviors presents state of the art research in cognitive informatics for assessing the impact of patient behavior. It is designed to assist all involved at the intersection of the health care institution and the patient and covers contributions from recognized researchers and leaders in the field.
Term
Genre/Form
Personnamn
Annat medium Printed edition: ISBN 9783319517315
Seriebiuppslag under titel
Elektronisk adress och åtkomst (URI) http://link.springer.com/10.1007/978-3-319-51732-2
ISBN 9783319517322 3319517325 3319517317 9783319517315
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*24500$aCognitive informatics in health and biomedicine :$bunderstanding and modeling health behaviors /$cVimla L. Patel, Jose F. Arocha, Jessica S. Ancker, editors.
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*504 $aIncludes bibliographical references and index.
*5050 $aForeword; References; Preface; Contents; Editors and Contributors; Part I: Introduction to the Role of Cognitive Issues in Health Behaviors and the Design of Interventions; Chapter 1: Cognitive Informatics and Behavior Change in the Health Care Domain; 1.1 Behavioral-Psychological Models; 1.2 Cognitive-Psychological Models; 1.3 Conceptual Understanding and Health Care Decisions; 1.4 Theories, Models and Frameworks; 1.5 Future Directions; References; Chapter 2: Design and Implementation of Behavioral Informatics Interventions; 2.1 Introduction; 2.2 Behavioral Informatics Interventions.
*5058 $a2.2.1 Definition and Health Domains2.2.2 Mode of Delivery; Computer-Based and Web-Based BI Interventions; Social media; Mobile Health (mHealth); 2.2.3 Behavior Change Theories, Models and Techniques; Health Belief Model; Theory of Reasoned Action and Theory of Planned Behavior; Social Cognitive Theory; Transtheoretical Model of Behavior Change; The COM-B Framework and the Behavior Change Wheel; The Behavior Change Technique Taxonomy; 2.2.4 Design, Development, Evaluation and Implementation Aspects; 2.3 Conclusion; References; Part II: Understanding Public Health Beliefs.
*5058 $aChapter 3: Making Sense of Health Problems: Folk Cognition and Healthcare Decisions3.1 Introduction; 3.2 The Socio-cultural Context in Folk Cognition; 3.3 Social and Cultural Influences on Healthcare Practices in Less-Developed Countries; 3.3.1 Making Sense of Health Related Problems in Local Contexts; Mothers' Interpreting Instructions for Oral Rehydration Therapy for Children: Kenya; Children's Comprehension and Problems Solving: Colombia and India; Comprehension of Sequences; Depth of Knowledge Representation; Children's Reasoning About Theory and Evidence.
*5058 $aZimbabwe: Women's Beliefs and Reasoning About Contraception: Making Sense of Something Makes No Sense Outside Culture (Percival and Patel 1993)3.4 Conclusion; References; Chapter 4: Toward a Framework for Understanding Embodied Health Literacy; 4.1 Introduction; 4.2 Health Literacy as Discourse Comprehension; 4.3 Readability and Comprehensibility of Health Information; 4.4 Other Factors Involved in Text Difficulty; 4.5 What Is Health Literacy?; 4.6 The Scope of Health Literacy and Numeracy Assessment; 4.7 Measurement and Hypothesis Testing: Some Methodological Issues.
*5058 $a4.8 Pushing the Boundaries: Toward Embodied Cognitive AssessmentReferences; Chapter 5: Models of Health Beliefs in South India: Impact on Managing Childhood Nutritional Illnesses; 5.1 Global Ethnic Diversity and the Challenges for Health Care; 5.1.1 Models of Health Beliefs in Different Cultures; 5.2 Culture and Related Health Behavior in India; 5.2.1 Traditional Medicine in India; 5.2.2 Influence of Traditional Medicine on Health Beliefs Regarding Childhood Illnesses in India; 5.3 Study Design; 5.3.1 Demographics of Study Population; 5.3.2 Health Domain in Focus; 5.3.3 Data Collection.
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^
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