Index
eHealth: Current Evidence, Promises, Perils and Future Directions
ISBN: 978-1-78754-322-5, eISBN: 978-1-78754-321-8
ISSN: 2050-2060
Publication date: 6 August 2018
This content is currently only available as a PDF
Citation
(2018), "Index", Hale, T.M., Chou, W.-Y.S., Cotten, S.R. and Khilnani, A. (Ed.) eHealth: Current Evidence, Promises, Perils and Future Directions (Studies in Media and Communications, Vol. 15), Emerald Publishing Limited, Leeds, pp. 293-298. https://doi.org/10.1108/S2050-206020180000015014
Publisher
:Emerald Publishing Limited
Copyright © 2018 Emerald Publishing Limited
INDEX
Acculturation
, 243
Affective involvement
, 186, 191
Age
, 212
American Recovery and Reinvestment Act
, 94
American Sign Language (ASL)
accessible health websites
, 72
accessible websites
, 72
health library website
, 72
health videos
, 72, 74
video content
, 72
videos
, 77
AMOS graphics program
, 215
Analysis of variance (ANOVA)
, 214, 218
ASL.
, See American Sign Language (ASL)
Baby boomer generation
, 210
Background characteristics
, 162–163
Bivariate analysis
, 163-166, 169
Bivariate associations
, 216
Cancer patient’s psychological adjustment
, 182–184
Cancer-specific self-efficacy
, 186, 191
Capital enhancers
, 157
CFI.
, See Comparative fit index (CFI)
China
, 243
Chinese immigrant population
, 245
Chinese language Quitline
, 255
Chinese male immigrants
, 243, 247, 258, 260
Chinese women
, 243
Chi-square significance test
, 215
Codebook
, 273
Cognitive involvement
, 186, 191
Collectivism
, 258
Communicational competence
, 210, 231, 232
Communication technology
blurring and acceleration through
managing patient care
, 106–110
managing work and life
, 104–106
temporal capital and power dynamics
, 113–116
learning the technology
, 110–113
Comparative fit index (CFI)
, 215
Computer Assisted Telephone Interviewing software
, 160
Credibility defined
, 47
Conceptual model
, 209
Content evaluation
, 168
Content-related skills
, 156
Control variables
, 190
Coping advice
, 180
Coping mechanisms
, 279
Credibility-assessment process
, 14
Credibility-assessment search results vs. Sites
research questions
, 16–17
user savvy in
, 16
Credibility-assessment strategies
, 11, 21, 24–27
Cronbach’s alpha
, 188, 189, 213, 214
Cross-sectional survey
, 160
Data analysis
, 163, 250
Deaf adults, health-related information
ASL
, 74–75
analytic strategy
, 77
cultural and linguistic translation
, 75–76
study procedures
, 76–77
experience section
, 75
making decisions
, 74
outcome
finding and trusting
, 81
internet, first source
, 79–80
social media
, 81–86
sociodemographic characteristics
, 77–79
study purpose
, 73–74
Deaf Experience, videos
, 75
Demographic covariates
, 212
Demographic variables
, 50, 162–163, 191
Depression
, 95
Dichotomous variable
, 53
Digital divide
, 155
Digital information
, 47
Digital online channels
, 49, 53, 57, 62–63
DISCERN instrument
, 48
Drinking
, 290
Educational level
, 212
Efficacy messages
, 254–256
eHealth
, 1, 155, 156, 158, 169, 171
eHealth activities
, 77
eHealth technologies
, 48
Electronic medical records (EMRs)
, 2, 94, 103, 157
Emotional stability
, 179, 185, 193
Empowerment approach
, 210
EMRs.
, See Electronic medical records (EMRs)
EPPM.
, See Extended parallel process model (EPPM)
Events
, 289
Experiential credibility
, 48
Extended parallel process model (EPPM)
, 245–247, 257, 259
Facebook
, 87
Face-to-face meetings
, 274
Face-to-face peer-support groups
, 181
First digital divide
, 155
Focus group study design
, 247
Goodness-of-fit indices
, 227
Google
, 15
Health 2.0
, 48
Health benefits
, 168
Healthcare services use
, 162
Health communication
, 231
Health credibility evaluations
, 22
Health information, source
, 74
Health information channels
, 49, 53, 57, 62
Health Information National Trends Survey (HINTS)
, 44, 49, 52, 60, 72, 74
iterations of
, 52–53, 64
Health information online
, 289
Health Insurance Portability and Accountability Act (HIPAA)
, 98
Health knowledge
, 231
Health websites
, 74
Hierarchical linear analyses
, 168
HINTS.
, See Health Information National Trends Survey (HINTS)
HINTS-ASL
, 75, 88
HINTS-ASL translation team
, 75
HIPPA.
, See Health Insurance Portability and Accountability Act (HIPAA)
Ideal online cancer support community
, 196–197
Income
, 212
Individualism
, 258
Information seeking process
, 15, 17, 18, 23, 30, 35
Internet
, 1, 15, 47, 50, 71, 74, 207, 211, 235
Internet activities dimensions
, 156–159
Internet use
, 155, 156, 158, 160, 168, 169, 211, 231
benefits
, 162
dimensions of
, 168
frequency of
, 160
perceived health outcomes of
, 162
and potential health benefits
, 163–167
Interpersonal sources
, 49, 53, 57, 62
Intervention tools
moderator
, 278–279
privacy issues
, 277–278
useful information
, 279
Intervention tools
, 277–279
Interview script development
, 271
Interviews procedure
, 272–273
Knowledge gap hypothesis
, 156
Knowledge Networks (KN)
, 210–211
Lesbian, Gay, and Bisexual (LGB ) young adults
, 265–282
smoking cessation
, 268–271
Lesbian, Gay, Bisexual, and Transgender (LGBT ) individuals
, 266
groups and
, 291
specific issues
, 291
Less savvy approaches
, 23
Linear regression analyses
, 228
Managing patient care
, 106–110
Marital status
, 212
Mass media
, 49, 53, 57, 62, 63
Master Settlement Agreement
, 267
Mediation models
, 215
Message development
, 248–249
Message presentation
, 248–249
Message ratings and reactions
, 250–251
mHealth interventions
, 243, 244, 257
MMS.
, See Multimedia messaging service (MMS)
Mobile-based smoking cessation interventions
, 243–245
Moderator
, 278–279
Mood Adjective Check List
, 191
Multimedia messaging service (MMS)
, 244, 245, 247, 260
Multivariable Logistic Regression Models
, 82–85
Multivariate analyses
, 166–167
National Coordinator for Health Information Technology
, 95
National Institutes of Health (NIH)
, 71
Negative emotions
, 182, 185
NFI.
, See Normed fit index (NFI)
Nicotine replacement therapy
, 268
NIH.
, See National Institutes of Health (NIH)
Normed fit index (NFI)
, 215
Offline sources
, 47
OLS.
, See Ordinary least squares (OLS)
Online content evaluation
, 161
Online credibility assessment
, 13–15
Online credibility information
assessment online
, 13–15
limitations and directions for search
, 35
methods
coding and analysis
, 20–23
data
, 20
sample descriptive
, 18–20
study procedure
, 17–18
role of search engine
, 23–24
search results vs. Sites
, 16–17, 29–30
strategies
SERP Evaluation
, 30–32
website evaluations
, 32–34
strategies for SERP
brand credibility
, 24–25
name of site
, 25–27
prior site experience
, 27
search rank
, 27
strategies for websites
appearance
, 28
author credibility
, 29
brand credibility
, 28
user-generated content
, 28
Online health information seeking
, 212-213, 216, 231
limitations and research
, 232–234
Online involvement
, 186–187, 190–191
Online participation
, 188
Online support communities
, 179
context
, 180–182
patients participation
, 182–184
study limitations and recommendations
, 197–198
Online survey
, 211
Openness to experience
, 185–186, 188
defined
, 179
Ordinary least squares (OLS)
, 191, 192
Pagers
, 103
Participant characteristics
, 163, 272
Patient empowerment
, 231
Patients’ psychological adjustment
, 179
Pearson Correlation Coefficients
, 219, 220
Perceived communicational competence
, 213, 214
Perceived personal susceptibility
, 259
Perceived severity
, 253–254
Perceived susceptibility
, 252–253
Perception of empowerment
, 229
Personal cell phones
, 103
Personality, role
, 194–196
Personality traits
, 179, 180, 188
as moderators
, 184–187
Positive health perception indicators
path decompositions
, 225, 226
regression models
, 223, 224
Positive health perceptions
, 213–214
Positive psychology
, 182
Privacy issues
, 277–278
Psychological adjustment
, 190
Public health implications
, 282
Qualitative analysis
, 273
Qualitative analysis, EPPM
, 251–254
Quit smoking
, 292
Race/ethnicity
, 212
Recruitment
, 271–272
Recruitment of participants
, 247–248
Regression analyses
, 166, 218, 229
Remote monitoring, patients
, 2
Research objectives
, 271
Response efficacy
, 255–257
Root mean squared error of approximation (RMSEA)
, 215
SAS 9.3
, 53
Savvy approaches
, 23
Search engine results’ pages (SERP)
, 11
Search engines
, 15, 16, 17, 30, 35, 36
Search process
, 23, 33
Search results, by level of savvy
, 25
Second digital divide
, 155
Self-efficacy
, 186, 254–255, 257
Self-esteem
, 182
Self-rated health (SRH)
, 159, 160, 162, 164, 166, 169
Sense of competence
, 229
SERP.
, See Search engine results’ pages (SERP)
Sexual identity
, 270
Sexual orientation
, 273, 275, 276, 280
Smoking cessation
, 268-271
norms for
, 269–270
Smoking cessation
, 268–271
limitations and research
, 281–282
SMS (short-message service) messages
, 244, 245
SNSs
, 74
Social and/or institutional power
, 104
Social cognitive theory
, 245
Social consequences
, 277
Social inequality
, 155
Social media
, 74, 269, 288
Social Network Sites (SNSs)
, 73, 161
Social support
, 269, 273, 274–275
Sociodemographic characteristics
, 78
Socioeconomic covariates
, 212
SPSS 24.0
, 77
SRH.
, See Self-rated health (SRH)
Stratification hypothesis
, 155
Structural equation modeling
, 214
Study procedures
, 249–250
SUDAAN 11.0
, 53
Surface credibility
, 13
Survey instrument
, 187
Survey participants
, 159–160
Temporal autonomy
, 98
Temporal capital
, 95
Text2Quit program messages
, 245
Text-message intervention, receptivity
, 256, 257
Text to Quit China
, 244
Third digital divide
, 156, 170, 171
Tobacco control movement
, 279
Trust, defining
, 46–47
Trust in health information
communication landscape
, 48–49
defining
, 46–48
demographic variables
, 50
digital online channels
, 49, 53, 57, 62–63
education
, 50
government health agencies
, 50
Health 2.0
, 48
HINTS
, 49
information sources
, 49–51
Internet
, 50
interpersonal sources
, 49, 53, 57, 62
iterations of HINTS
, 52–53
mass media
, 49, 53, 57, 62
physicians
, 49, 60, 62
predictors of
, 57–60
sociodemographic characteristics
, 53
sociodemographic factors
, 50–51, 56
sources and channels
, 55, 58–59
tracking changes in levels of
, 54–56
trends in levels of
, 54
user-generated content
, 48–49
Twitter
, 49
Usage gap
, 156
U.S. Postal Service Delivery Sequence File
, 211
Variance inflation factor (VIF)
, 228
Visual language
, 71
“Weak-tie” relationships
, 182
Web 1.0 consumption
, 158
Web 1.0 consumption activities
, 160
Web 1.0 health-related activities
, 171
Web 1.0 health-related consumption activities
, 161
Web 2.0
, 46, 48–49, 157, 158, 168
Web 2.0 health-related production activities
, 161
Web 2.0 production activities
, 161
Websites Evaluation, by level of savvy
, 26
WeChat
, 256
Work–life balance
, 95, 99–102
World Health Organization
, 243
YouTube
, 49, 74
- Prelims
- Introduction: Promises and Perils of eHealth
- Chapter 1: “I Went Home to Google”: How Users Assess the Credibility of Online Health Information
- Chapter 2: Trust in Health Information Sources and Channels, Then and Now: Evidence from the Health Information National Trends Survey (2005–2013)
- Chapter 3: Health-related Information Seeking among Deaf Adults: Findings from the 2017 Health Information National Trends Survey in American Sign Language (HINTS-ASL)
- Chapter 4: The Impact of Health Practitioners’ Use of Communication Technologies on Temporal Capital and Autonomy
- Chapter 5: Tracking Health and Fitness: A Cultural Examination of Self-quantification, Biomedicalization, and Gender
- Chapter 6: The Third Digital Divide in the Health Domain: Is Internet Use for Health Purposes Associated with Health Benefits?
- Chapter 7: Who is Likely to Benefit Most from Online Cancer Support Communities? The Role of Personality Traits
- Chapter 8: Positive Impacts of Online Health Information Seeking on Health Perceptions and the Mediational Relationship with Health Communication and Sense of Empowerment
- Chapter 9: Developing a Graphic Text Messaging Intervention for Smoking Cessation Targeting First-Generation Chinese Immigrant Men: Insights from Focus Group Interviews
- Chapter 10: Using Social Media to Help Lesbian, Gay, and Bisexual Young Adults Quit Smoking: An In-depth Interview Study
- Index