2019
DOI: 10.2196/14285
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Using Social Media to Uncover Treatment Experiences and Decisions in Patients With Acute Myeloid Leukemia or Myelodysplastic Syndrome Who Are Ineligible for Intensive Chemotherapy: Patient-Centric Qualitative Data Analysis

Abstract: BackgroundUntil recently, treatment options were limited for patients with acute myeloid leukemia and myelodysplastic syndrome (AML and MDS) who are ineligible for intensive chemotherapy. Owing to the condition’s rapid progression, it is difficult to identify what is most important to patients when making treatment decisions. Patients’ needs can be better addressed by gaining a deeper understanding of their perspectives, which is valuable in the decision-making process. The Food and Drug Administration recentl… Show more

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Cited by 19 publications
(13 citation statements)
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“…In this study, approximately one-third of the identified Twitter users were cancer survivors who discussed their cancer experience, whereas others were family members and friends. Our data support the findings of previous studies that showed that both groups were present on social media for various reasons, such as seeking information resources and emotional and peer support on the web [ 17 - 21 , 50 - 52 ].…”
Section: Discussionsupporting
confidence: 91%
“…In this study, approximately one-third of the identified Twitter users were cancer survivors who discussed their cancer experience, whereas others were family members and friends. Our data support the findings of previous studies that showed that both groups were present on social media for various reasons, such as seeking information resources and emotional and peer support on the web [ 17 - 21 , 50 - 52 ].…”
Section: Discussionsupporting
confidence: 91%
“…In this study, we showed that tōbyōki blog data can contain health-related quality of life information and that it might be possible to identify elements related to health-related quality of life using text-mining approaches. Only a few studies have reported efforts to extract health-related quality of life information from unstructured patient-derived texts such as forums [ 22 ] or tweets [ 23 ]. A text-mining approach to patients’ unstructured data might also benefit the identification of psychological symptoms, which is difficult to measure using health care databases.…”
Section: Discussionmentioning
confidence: 99%
“…However, evidence suggests that a vast majority of oncology patients prefer oral therapies over IV/SC administered therapies, citing greater convenience, avoidance of venipunctures, and a greater sense of control as primary motivating factors [18][19][20]. A recent survey of MDS patients found that the desire to be at home rather than in a hospital was a primary factor influencing their treatment decisions [21]. Therefore, the high HRU burden and inconvenience associated with IV/SC administration may be a contributing factor to HMA non-persistence.…”
Section: Discussionmentioning
confidence: 99%