{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T20:42:53Z","timestamp":1792442573018,"version":"4.5.0"},"reference-count":20,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Ment Health"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>As digital communication becomes central to daily life, psychotherapy increasingly has access to patients\u2019 electronic media data. Although digital phenotyping has been widely studied, less is known about whether incorporating personal communication data, such as text messages, improves clinical outcomes in psychotherapy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to determine whether integrating personalized text message data into psychotherapy improves depression, anxiety, health-related quality of life, and therapeutic alliance and to examine whether increased access to collateral information influences clinical decision-making.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>The Electronic Media and its Impact on Psychotherapy (EMAP) study was a randomized controlled trial conducted in adult and geriatric outpatient and partial hospitalization settings at an academic psychiatric hospital. Participants receiving psychotherapy for primary depression or anxiety (n=101) were randomized to electronic media\u2013enhanced therapy (EME; n=52) or treatment as usual (TAU; n=49). In EME, research staff reviewed participants\u2019 text messages prior to sessions using personalized mood-related key terms and presented aggregated findings on a Health Insurance Portability and Accountability Act (HIPAA)\u2013compliant clinician dashboard. TAU participants received standard care without message review. Outcomes included change scores for the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder-7 (GAD-7), the 36-item Short Form Health Survey (SF-36), and the Working Alliance Inventory\u2013Short Revised (WAI-SR). Linear regression and nonparametric tests compared groups. Moderation analyses assessed whether the frequency of information access influenced treatment changes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>No statistically significant between-group differences were observed in anxiety or working alliance. Among participants with SF-36 follow-up data (n=65), EME participants demonstrated greater improvement in the pain subscale. Greater frequency of information access was associated with increased treatment-related changes in the EME group. Access to additional collateral information was associated with more clinical actions but not with improved distal outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Integrating personalized text message data into short-term psychotherapy did not significantly improve depression or anxiety, and it neither improved nor worsened therapeutic alliance. However, access to greater amounts of collateral information, including electronic media, influenced clinical decision-making, suggesting nuanced and context-dependent effects.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/93446","type":"journal-article","created":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T02:25:06Z","timestamp":1788229506000},"page":"e93446-e93446","source":"Crossref","is-referenced-by-count":0,"title":["Incorporating Data From Text Messages and Email Into Psychotherapy: Randomized Controlled Trial"],"prefix":"10.2196","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0282-640X","authenticated-orcid":false,"given":"Ipsit V","family":"Vahia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5769-0063","authenticated-orcid":false,"given":"Julia","family":"Kimball","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5300-1184","authenticated-orcid":false,"given":"Boyu","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9288-3027","authenticated-orcid":false,"given":"Hailey","family":"Cray","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7001-8161","authenticated-orcid":false,"given":"Rebecca","family":"Dickinson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9809-1814","authenticated-orcid":false,"given":"Heejung","family":"Kim","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7065-1963","authenticated-orcid":false,"given":"Dylan X","family":"Guan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5158-1103","authenticated-orcid":false,"given":"Kerry J","family":"Ressler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2026,10,19]]},"reference":[{"issue":"4","key":"R1","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1097\/HRP.0000000000000145","article-title":"Beyond googling: the ethics of using patients\u2019 electronic footprints in psychiatric practice","volume":"25","author":"Fisher","journal-title":"Harv Rev Psychiatry"},{"issue":"7","key":"R2","doi-asserted-by":"publisher","first-page":"1691","DOI":"10.1038\/npp.2016.7","article-title":"Harnessing smartphone-based digital phenotyping to enhance behavioral and mental health","volume":"41","author":"Onnela","journal-title":"Neuropsychopharmacology"},{"issue":"1","key":"R3","doi-asserted-by":"publisher","DOI":"10.1038\/s44277-024-00013-w","article-title":"Smartphone-based markers of social connectivity in schizophrenia and bipolar disorder","volume":"2","author":"Valeri","journal-title":"NPP Digit Psychiatry Neurosci"},{"issue":"4","key":"R4","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1136\/ebmental-2020-300180","article-title":"Digital phenotyping for mental health of college students: a clinical review","volume":"23","author":"Melcher","journal-title":"Evid Based Ment Health"},{"key":"R5","doi-asserted-by":"publisher","DOI":"10.1177\/20552076251327044","article-title":"Patient and clinician opinions on internet search data use in therapy: insights, considerations, and guidelines for integrating a new digital phenotyping measure","volume":"11","author":"Dhima","journal-title":"Digit Health"},{"issue":"4","key":"R6","doi-asserted-by":"publisher","DOI":"10.2196\/25050","article-title":"Measuring and quantifying collateral information in psychiatry: development and preliminary validation of the McLean Collateral Information and Clinical Actionability Scale","volume":"8","author":"Owoyemi","journal-title":"JMIR Ment Health"},{"issue":"5","key":"R7","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1097\/PRA.0000000000000727","article-title":"Digital collateral information through electronic and social media in psychotherapy: comparing clinician-reported trends before and during the COVID-19 pandemic","volume":"29","author":"Vahia","journal-title":"J Psychiatr Pract"},{"issue":"7","key":"R8","doi-asserted-by":"publisher","DOI":"10.2196\/13218","article-title":"Incorporating information from electronic and social media into psychiatric and psychotherapeutic patient care: survey among clinicians","volume":"21","author":"Hobbs","journal-title":"J Med Internet Res"},{"issue":"8","key":"R9","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1176\/appi.ps.20220272","article-title":"Effect of integrating patient-generated digital data into mental health therapy: a randomized controlled trial","volume":"74","author":"Merchant","journal-title":"Psychiatr Serv"},{"key":"R10","doi-asserted-by":"publisher","DOI":"10.2196\/59785","article-title":"Integrating patient-generated digital data into mental health therapy: mixed methods analysis of user experience","volume":"11","author":"Southwick","journal-title":"JMIR Ment Health"},{"key":"R11","doi-asserted-by":"publisher","DOI":"10.2196\/63279","article-title":"Testing a dashboard intervention for tracking digital social media activity in clinical care of individuals with mood and anxiety disorders: protocol and design considerations for a pragmatic randomized trial","volume":"14","author":"Nesbitt","journal-title":"JMIR Res Protoc"},{"key":"R12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2021.12.048","article-title":"The relationship between text message sentiment and self-reported depression","volume":"302","author":"Liu","journal-title":"J Affect Disord"},{"issue":"6","key":"R13","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1111\/jep.12182","article-title":"More screen time, less face time - implications for EHR design","volume":"20","author":"Asan","journal-title":"J Eval Clin Pract"},{"issue":"5","key":"R14","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1080\/0361073X.2020.1790087","article-title":"Age-related differences in emoji evaluation","volume":"46","author":"Wei\u00df","journal-title":"Exp Aging Res"},{"issue":"9","key":"R15","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1046\/j.1525-1497.2001.016009606.x","article-title":"The PHQ-9: validity of a brief depression severity measure","volume":"16","author":"Kroenke","journal-title":"J Gen Intern Med"},{"issue":"10","key":"R16","doi-asserted-by":"publisher","first-page":"1092","DOI":"10.1001\/archinte.166.10.1092","article-title":"A brief measure for assessing generalized anxiety disorder: the GAD-7","volume":"166","author":"Spitzer","journal-title":"Arch Intern Med"},{"issue":"3","key":"R17","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1002\/cpp.658","article-title":"Working Alliance Inventory-Short Revised (WAI-SR): psychometric properties in outpatients and inpatients","volume":"17","author":"Munder","journal-title":"Clin Psychol Psychother"},{"issue":"6","key":"R18","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1097\/00005650-199206000-00002","article-title":"The MOS 36-item short-form health survey (SF-36)","volume":"30","author":"Ware","journal-title":"Med Care"},{"issue":"2","key":"R19","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.infoh.2024.05.001","article-title":"Health informatics to enhance the healthcare industry\u2019s culture: an extensive analysis of its features, contributions, applications and limitations","volume":"1","author":"Javaid","journal-title":"Inform Health"},{"key":"R20","doi-asserted-by":"publisher","DOI":"10.1136\/bmj-2023-076462","article-title":"Taking a collateral history: the missing piece of the puzzle","volume":"382","author":"Neubauer","journal-title":"BMJ"}],"container-title":["JMIR Mental Health"],"original-title":[],"language":"en","deposited":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T20:21:39Z","timestamp":1792441299000},"score":1,"resource":{"primary":{"URL":"https:\/\/mental.jmir.org\/2026\/1\/e93446"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10,19]]},"references-count":20,"URL":"https:\/\/doi.org\/10.2196\/93446","relation":{},"ISSN":["2368-7959"],"issn-type":[{"value":"2368-7959","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,10,19]]},"article-number":"v13i4e93446"}}