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Introduction: Qualitative research methods can be used to obtain a deeper understanding of patient experience by collecting information in the patients' own words about their encounters, perspectives, and feelings. In this study, patients with schizophrenia were interviewed to capture their voice and to complement the quantitative data typically obtained in clinical trials. Methods: Semi-structured exit interviews were conducted with 41 patients who completed or prematurely discontinued from a phase 3, open-label trial (NCT02873208). The interview guide included open-ended questions on current and prior disease burden, symptoms, quality of life, and treatment experiences. Steps taken to reduce interview stress and secure the validity of data included interviewer sensitivity training specific to mental health conditions and schizophrenia, use of in-person interviews whenever possible and use of videoconferencing for remote interviews to promote trust and comfort, and working closely with clinical site staff to identify patient eligibility and willingness to participate. Transcripts based on audio recordings were content coded and analyzed using thematic analysis; a post-hoc quantitative content analysis was conducted. Results: Patients reported that the symptoms of schizophrenia negatively impacted their work, relationships, self-esteem, emotional health, and daily activities. Most patients had positive experiences with medications that alleviated hallucinations, depression, and anxiety. However, side effects of medications were associated with negative impacts on physical, emotional, behavioral, and cognitive health. Lack of energy/drowsiness, weight gain, mood changes, and involuntary movements were the most common side effects reported with the use of antipsychotic medications. Patients reported unmet treatment needs related to better symptom control and to improved social and physical functioning. Conclusion: Collection of qualitative information within a schizophrenia clinical development process provides value and insights into patients' views on burden of illness, experiences with previous medications, and experiences following participation in a clinical trial and can inform design for future studies.
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Purpose: The purpose of this secondary data analysis was to examine the association between hematologic response and health-related quality of life (HRQoL) among patients with light-chain (AL) amyloidosis. Patients and Methods: Data for this secondary analysis were collected through a non-interventional, longitudinal, online self-report survey of patients with AL amyloidosis. Patients completed an initial online survey, with follow-up surveys administered 1, 6, 12, 18, and 24 months after completion of the initial survey. The online survey included an assessment of patients' most recent self-reported hematologic response status. Eight domains and 2 summary components of HRQoL were evaluated with the SF-36v2® Health Survey. A series of logistic regression models were used to examine the association between self-reported hematologic response at 24 months (dichotomized as new or maintained complete hematologic response; less than a complete response) and change in HRQoL from baseline to 24 months (dichotomized as meaningful worsening; improvement or preservation). Results: For all measured domains of HRQoL except physical functioning, there was no statistically significant relationship between meaningful worsening in HRQoL and hematologic response status at 24 months. Patients without a complete hematologic response had an odds of experiencing meaningful worsening of HRQoL that was similar to that of patients with a complete hematologic response. Conclusion: Among patients with AL amyloidosis, change in HRQoL was generally not associated with hematologic response. Achieving a complete hematologic response does not necessarily mean that a patient will experience increased or stable HRQoL. When defining treatment success, it is important to recognize that clinical markers such as hematologic response may not fully encapsulate the patient experience.