Contributors |
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xiii | |
Preface |
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xix | |
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1 | (8) |
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Data collection and analysis |
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2 | (1) |
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Communication, psychoeducation, and screening |
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3 | (2) |
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5 | (1) |
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6 | (1) |
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7 | (2) |
Section A Digital Data Collection and Analysis |
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9 | (136) |
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2 Information technology and electronic health record to improve behavioral health services |
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11 | (30) |
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11 | (3) |
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Setting goals to achieve value and quality in practice and the role of technology |
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14 | (6) |
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Components and processes of systems used by clinicians |
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20 | (8) |
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28 | (2) |
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Clinician, team, system, and institutional/organizational competencies |
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30 | (3) |
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33 | (2) |
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35 | (1) |
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35 | (1) |
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35 | (1) |
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35 | (6) |
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3 Big data and the goal of personalized health interventions |
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41 | (22) |
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41 | (2) |
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43 | (1) |
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Where does big data come from? |
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44 | (2) |
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Data storage and preprocessing |
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46 | (1) |
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47 | (2) |
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Insights from genetics, neuroimaging, and eHealth |
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49 | (4) |
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53 | (2) |
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55 | (1) |
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56 | (1) |
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56 | (7) |
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4 Collecting data from Internet (and other platform) users for mental health research |
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63 | (18) |
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63 | (1) |
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A brief historical overview of the Internet's use within psychology |
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63 | (1) |
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Are the use of Internet sampling procedures reliable and valid? |
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64 | (2) |
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Benefits to utilizing the Internet to answer research questions |
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66 | (2) |
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Risks/costs of Internet research |
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68 | (1) |
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How to go about collecting data from Internet users |
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69 | (4) |
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Tools to construct surveys and tasks online |
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73 | (2) |
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75 | (1) |
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75 | (6) |
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5 Ecological momentary assessment and other digital technologies for capturing daily life in mental health |
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81 | (28) |
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81 | (1) |
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82 | (1) |
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83 | (1) |
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The importance of context |
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84 | (1) |
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85 | (1) |
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86 | (1) |
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87 | (1) |
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Profiled vs iterative personalized medicine |
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87 | (1) |
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88 | (1) |
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Ecological momentary assessment |
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88 | (2) |
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Added value to cross-sectional methods |
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90 | (1) |
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Learning from group-level research |
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90 | (3) |
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Toward a paradigm shift in clinical practice |
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93 | (1) |
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Reliable assessment of subjective experiences |
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93 | (1) |
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Individual EMA use in clinical practice |
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94 | (1) |
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95 | (2) |
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Leveraging the full potential of technologies |
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97 | (1) |
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98 | (1) |
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Unobtrusive mental health assessments |
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99 | (2) |
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101 | (2) |
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103 | (6) |
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6 Social media big data analysis for mental health research |
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109 | (36) |
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109 | (2) |
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111 | (1) |
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112 | (3) |
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Data collection from social media users |
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115 | (1) |
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User verification and annotation |
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116 | (1) |
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Data collection from social media platforms |
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117 | (2) |
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Natural language processing (NLP) |
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119 | (2) |
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121 | (1) |
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Machine learning algorithms |
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122 | (2) |
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124 | (3) |
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127 | (1) |
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Ethics surrounding profiling social media for mental health |
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127 | (1) |
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A framework for the use of social media for health intervention |
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128 | (5) |
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Ethical considerations and practices |
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133 | (1) |
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Identifying health conditions from social media behavior |
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134 | (1) |
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135 | (10) |
Section B Communication, psychoeducation, screening |
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145 | (94) |
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7 Telepsychiatry and video-to-home (including security issues) |
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147 | (22) |
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147 | (1) |
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148 | (2) |
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150 | (1) |
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151 | (1) |
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Regulatory and safety issues |
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152 | (1) |
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Licensure portability and reciprocity |
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152 | (2) |
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Security and privacy of patient information |
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154 | (1) |
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Patient safety during TMH encounters |
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155 | (1) |
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156 | (2) |
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Future directions in global TMH |
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158 | (2) |
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160 | (1) |
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160 | (9) |
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8 Social Media and Clinical Practice |
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169 | (22) |
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169 | (1) |
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169 | (1) |
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170 | (8) |
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178 | (6) |
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184 | (1) |
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185 | (1) |
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186 | (5) |
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9 Websites and the validity of mental health care information |
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191 | (16) |
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Luwishennadige M.N. Fernando |
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Quality assessment methods |
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192 | (1) |
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Types of mental disorders |
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193 | (3) |
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Quality of mental disorder information on social media |
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196 | (1) |
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Longitudinal changes in website quality |
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196 | (2) |
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198 | (3) |
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201 | (1) |
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201 | (6) |
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207 | (16) |
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The importance of measurement |
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207 | (1) |
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The challenge of measurement in mental health |
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207 | (1) |
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Virtual care and electronic patient self-report |
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208 | (1) |
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Digital phenotyping of mental health |
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209 | (5) |
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Challenges faced by digital phenotyping |
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214 | (1) |
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Promise and future of digital measurement |
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215 | (1) |
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216 | (7) |
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11 The digital therapeutic relationship: Retaining humanity in the digital age |
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223 | (16) |
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223 | (1) |
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Human factor science and the design of person-centered e-interventions |
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224 | (2) |
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Conceptualizing e-interventions within a relationship-centered paradigm |
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226 | (2) |
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Toward a theoretical conceptualization of relationship-centered e-interventions |
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228 | (4) |
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Future directions for theory and research |
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232 | (2) |
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234 | (1) |
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234 | (1) |
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234 | (5) |
Section C Problematic use of the Internet |
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239 | (136) |
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12 Gambling disorder, gaming disorder, cybershopping, and other addictive/impulsive disorders online |
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241 | (20) |
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241 | (2) |
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Phenomenology, comorbidity, and clinical assessment tools |
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243 | (5) |
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248 | (2) |
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Treatment: Pharmacotherapy and psychotherapy |
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250 | (3) |
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Discussion and concluding remarks |
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253 | (1) |
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253 | (1) |
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254 | (5) |
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259 | (2) |
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13 Cyberchondria, cyberhoarding, and other compulsive online disorders |
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261 | (24) |
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261 | (2) |
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263 | (9) |
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272 | (1) |
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Other digital forms of OCRDs |
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273 | (4) |
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277 | (1) |
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277 | (1) |
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277 | (8) |
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14 Internet-use disorders: A theoretical framework for their conceptualization and diagnosis |
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285 | (22) |
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285 | (2) |
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287 | (4) |
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291 | (3) |
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Disordered smartphone use |
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294 | (2) |
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296 | (1) |
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297 | (1) |
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297 | (10) |
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15 Cybersex (including sex robots) |
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307 | (38) |
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307 | (1) |
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Epidemiology, definitions, and phenomenology |
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308 | (9) |
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317 | (1) |
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318 | (1) |
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Assessment and evaluation |
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319 | (6) |
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325 | (2) |
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327 | (1) |
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328 | (2) |
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330 | (1) |
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331 | (14) |
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16 Developmental aspects (including cyberbullying) |
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345 | (30) |
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Fernando Fernandez-Aranda |
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345 | (1) |
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345 | (14) |
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359 | (2) |
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361 | (1) |
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362 | (1) |
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362 | (1) |
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362 | (13) |
Section D Interventions |
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375 | (122) |
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17 Internet-based psychotherapies |
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377 | (18) |
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377 | (1) |
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378 | (4) |
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382 | (1) |
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383 | (2) |
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Implementation and evidence in clinical settings |
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385 | (1) |
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Future and ongoing developments |
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386 | (1) |
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387 | (1) |
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387 | (8) |
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18 Apps for mental health |
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395 | (40) |
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395 | (1) |
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396 | (1) |
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397 | (1) |
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Key aspects of mobile apps evaluation |
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398 | (20) |
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Current app evaluation frameworks |
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418 | (5) |
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Conclusions and future directions |
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423 | (1) |
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424 | (4) |
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428 | (7) |
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19 Clinical interventions for technology-based problems |
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435 | (24) |
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435 | (2) |
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Social perceptions of problems and interventions |
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437 | (1) |
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438 | (2) |
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440 | (1) |
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440 | (1) |
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441 | (1) |
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Prevention and treatment evidence |
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441 | (3) |
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444 | (4) |
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The role of industry and online content providers |
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448 | (1) |
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Future research directions |
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449 | (1) |
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450 | (1) |
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451 | (1) |
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452 | (1) |
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452 | (7) |
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20 Scaling up of mental health services in the digital age: The rise of technology and its application to low- and middle-income countries |
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459 | (22) |
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459 | (4) |
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Technology for community outreach, raising awareness, and challenging stigma |
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463 | (1) |
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Technology for mental health in humanitarian settings |
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464 | (2) |
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Digital Interventions for youth mental health |
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466 | (2) |
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Technology for supporting clinical care and building capacity of frontline health workers |
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468 | (2) |
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Technology for severe mental disorders |
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470 | (2) |
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472 | (1) |
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Mental health during pandemics and the need for digital interventions |
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473 | (1) |
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Discussion and conclusion |
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473 | (1) |
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474 | (7) |
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21 Addiction, autonomy, and the Internet: Some ethical considerations |
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481 | (16) |
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481 | (1) |
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Distinguishing clinical and ethical debates |
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482 | (2) |
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The ethics of persuasive design |
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484 | (2) |
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486 | (3) |
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489 | (3) |
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492 | (1) |
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493 | (4) |
Index |
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