Measuring the Patient Experience in Rare Disorders: Benefit of Pragmatic Mixed-Methods Research in NUT Carcinoma

Mixed-methods research to support the use of new lymphoma-specific patient-reported symptom measures derived from the EORTC item library

BACKGROUND

No specific measures exist to assess patient-reported symptoms experienced by individuals with chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma (SLL) or mantle cell lymphoma (MCL). This study was conducted to elicit patient-reported CLL/SLL- and MCL-related symptoms and their impact on patients' lives. The study qualitatively and quantitatively evaluated sets of conceptually-selected EORTC Item Library items for assessing CLL/SLL- and MCL-related symptoms.

METHODS

The qualitative component of the research included a literature review, clinician consultations, and patient interviews. Concepts important to patients were identified and coded; cognitive debriefing of the selected library items was completed with patients. CLL/SLL and MCL-related symptoms and impacts were organized in a structured conceptual model, which was mapped to item sets from the Item Library. The quantitative component comprised exploratory macro-level Rasch measurement theory (RMT) analysis conducted to provide supportive quantitative insight on the item sets.

RESULTS

41 patients (21-MCL; 20-CLL/SLL) and 5 clinicians participated in the qualitative study; 57 unique patients (30-MCL; 27-CLL/SLL) completed the EORTC items. The conceptual models generated from the qualitative work included symptoms and functional impacts of CLL/SLL and MCL. Symptom domains included swollen lymph nodes, B symptoms, abdominal issues, pain, fatigue, subjective cognitive impairment, anemia-related symptoms, bleeding, infection, and other issues (appetite loss, temperature fluctuation, rash, weight gain, sleep problems, cough). Impacts included physical function, role function, and other functions (psychological, social). Cognitive debriefing demonstrated that the separate item sets for CLL/SLL and MCL-related symptoms were well understood and aligned with patients' experiences. All selected items were included in the conceptual models. The exploratory RMT analysis showed that the item sets provided adequate coverage of the continuum of CLL/SLL- and MCL-related symptom severity.

CONCLUSIONS

This study gathered qualitative and early quantitative evidence supporting use of the EORTC Item Library to assess CLL/SLL- and MCL-related symptoms and impacts. These items are promising candidates for measurement of patient-reported disease symptoms in these populations. A larger sample size will be essential to establish the psychometric properties necessary to support use in clinical trials. Patients who suffer from rare cancers of the blood, bone marrow, and lymph nodes can experience chronic and debilitating symptoms. At present, however, there are no dedicated instruments for assessing the patient's experience of symptoms of conditions like chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma (SLL) or mantle cell lymphoma (MCL), or for assessing their impact on patients' lives. This research project aimed to address that need. The researchers selected relevant and clinically meaningful symptoms from the EORTC Item Library that assess fatigue, B symptoms, and CLL/SLL- and MCL-specific symptoms. Using patients and clinician interviews as well as quantitative analyses, the research revealed no major concerns with using these item sets to assess symptoms of CLL/SLL and MCL. Interviews with patients demonstrated that the separate item sets for CLL/SLL and MCL-related symptoms were well understood and aligned with patients' experiences. All selected items were included in the conceptual models. Item sets identified in this study can potentially be used to assess patient-reported symptom endpoints in clinical trial settings in these disease areas.

A Mixed-Methods Study to Better Measure Patient-Reported Pain and Fatigue in Soft Tissue Sarcoma

INTRODUCTION

Pain and fatigue are commonly reported by patients with soft tissue sarcoma (STS) as distressing symptoms, yet no patient-reported outcome (PRO) measures have been validated or developed specifically for STS. This study aimed to develop novel PRO scales using existing item banks to measure pain and fatigue in STS.

METHODS

A three-stage mixed-methods approach was used. Stage 1: a literature review examined the development and validation of the European Organization for Research and Treatment of Cancer (EORTC) library, Patient-Reported Outcomes Measurement Information System (PROMIS) pain/fatigue item banks, Functional Assessment of Cancer Therapy-General, and FACIT-Fatigue. Conceptual models were developed for pain and fatigue. Stage 2: semi-structured interviews were conducted with clinical experts (n = 3) and STS patients (n = 28) to ensure conceptual coverage and cognitively debrief the selected PRO items. Stage 3: exploratory Rasch measurement theory (RMT) analyses were performed to examine the measurement properties of the proposed scales.

RESULTS

Stage 1: The conceptual model for fatigue was organized into two overarching domains: fatigability and fatigue, further split into two subdomains: symptoms and impact. The conceptual model for pain had one overarching domain split into two subdomains: descriptors and impact. Pain (n = 56) and fatigue (n = 40) items were selected from the EORTC item library. Stage 2: qualitative findings ensured conceptual coverage, provided insight into the relevance and comprehension of the items, and informed subsequent item reduction. Stage 3: The total item number was reduced to 43 (pain n = 18, fatigue n = 25). Exploratory RMT analyses supported the final scales' psychometric properties.

CONCLUSIONS

This mixed-methods research generated important information on the experience of pain and fatigue in specific subtypes of STS. Five novel PRO scales have been developed through careful item selection in consultation with experts and supported by qualitative and quantitative evidence. These scales may be of value to future clinical trials for STS.