{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T06:44:38Z","timestamp":1792219478645,"version":"4.4.0"},"reference-count":52,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Form Res"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec sec-type=\"background\">\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Antidepressants are crucial for managing major depressive disorders; however, nonadherence remains a widespread challenge, driven by concerns over side effects, fear of dependency, and doubts about efficacy. Understanding patients\u2019 experiences is essential for improving patient-centered care and enhancing adherence\n                      <jats:bold>,<\/jats:bold>\n                      which prioritizes individual needs in treatment.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"objective\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aims to gain a deeper understanding of patient experiences with antidepressants, providing insights that health care providers, families, and communities can develop into personalized treatment strategies. By integrating patient-centered care, these processes may improve satisfaction and adherence with antidepressants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"methods\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Data were collected from AskaPatient and Reddit, analyzed using natural language processing and large language models. Analytical techniques included sentiment analysis, emotion detection, personality profiling, and topic modeling. Furthermore, demographic variations in patient experiences were also examined to offer a comprehensive understanding of discussions around antidepressants.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"results\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Sentiment and emotion analysis revealed that the majority of discussions (21,499\/36,253, 59.3%) expressed neutral sentiments, with negative sentiments following closely (13,922\/36,253, 38.4%). The most common emotions were fear (16,196\/36,253, 44.66%) and sadness (12,507\/36,253, 34.49%). The largest topic, \u201cMental Health and Relationships,\u201d accounted for 11.69% (3755\/36,253) of the discussions, which indicated a significant focus on managing mental health conditions. Discussions around nonadherence were marked by fear, followed by sadness, while self-care discussions showed a notable trend of sadness.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec sec-type=\"conclusions\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These psychological insights into public perceptions of antidepressants provide a foundation for developing tailored, patient-centered treatment approaches that align with individual needs, enhancing both effectiveness and empathy of care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.2196\/62680","type":"journal-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T12:58:52Z","timestamp":1731502732000},"page":"e62680-e62680","source":"Crossref","is-referenced-by-count":2,"title":["Probing Public Perceptions of Antidepressants on Social Media: Mixed Methods Study"],"prefix":"10.2196","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4779-3696","authenticated-orcid":false,"given":"Jianfeng","family":"Zhu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2596-8136","authenticated-orcid":false,"given":"Xinyu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1895-4243","authenticated-orcid":false,"given":"Ruoming","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3246-7177","authenticated-orcid":false,"given":"Hailong","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2852-5776","authenticated-orcid":false,"given":"Deric R","family":"Kenne","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,2,26]]},"reference":[{"issue":"377","key":"R1","first-page":"1","author":"Brody","journal-title":"NCHS Data Brief"},{"issue":"2","key":"R2","doi-asserted-by":"publisher","first-page":"242","DOI":"10.4274\/tjps.galenos.2020.49799","article-title":"Factors associated with antidepressant medication non-adherence","volume":"18","author":"Marasine","journal-title":"Turk J Pharm Sci"},{"issue":"5-6","key":"R3","first-page":"41","volume":"9","author":"Sansone","journal-title":"Innov Clin Neurosci"},{"issue":"5","key":"R4","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1007\/s10488-010-0322-z","article-title":"Relationship between satisfaction, patient-centered care, adherence and outcomes among patients in a collaborative care trial for depression","volume":"38","author":"Deen","journal-title":"Adm Policy Ment Health"},{"issue":"4","key":"R5","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1177\/1077558712465774","article-title":"Patient-centered care and outcomes: a systematic review of the literature","volume":"70","author":"Rathert","journal-title":"Med Care Res Rev"},{"key":"R6","unstructured":"Kramer PD . 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