Patient-Centered Research to Support the Development of the Symptoms of Major Depressive Disorder Scale (SMDDS): Initial Qualitative Research

Recommendations for selection and adaptation of rating scales for clinical studies of rapid-acting antidepressants

The novel mechanisms of action (MOA) derived from some recently introduced molecular targets have led to regulatory approvals for rapid acting antidepressants (RAADs) that can generate responses within hours or days, rather than weeks or months. These novel targets include the N-methyl-D-glutamate receptor antagonist ketamine, along with its enantiomers and various derivatives, and the allosteric modulators of gamma-aminobutyric acid (GABA) receptors. There has also been a strong resurgence in interest in psychedelic compounds that impact a range of receptor sites including D1, 5-HT7, KOR, 5-HT5A, Sigma-1, NMDA, and BDNF. The RAADs developed from these novel targets have enabled successful treatment for difficult to treat depressed individuals and has generated a new wave of innovation in research and treatment. Despite the advances in the neurobiology and clinical treatment of mood disorders, we are still using rating instruments that were created decades ago for drugs from a different era (e.g., The Hamilton and Montgomery-Åsberg depression rating scales, HDRS, and MADRS) continue to be used. These rating instruments were designed to assess mood symptoms over a 7-day time frame. Consequently, the use of these rating instruments often requires modifications to address items that cannot be assessed in short time frames, such as the sleep and appetite items. This review describes the adaptative approaches that have been made with the existing scales to meet this need and examines additional domains such as daily activities, side effects, suicidal ideation and behavior, and role functioning. Recommendations for future studies are described, including the challenges related to implementation of these adapted measures and approaches to mitigation.

Qualitative insights in item development for a comprehensive and inclusive measure of recovery capital

BACKGROUND

Item specification is foundational to measurement development but rarely reported in depth. We address this gap by explicating our use of qualitative methods to ground and develop items for a new recovery capital measure, the Multidimensional Inventory of Recovery Capital.

METHOD

We recruited a diverse sample of service providers (n = 9) and people in recovery from alcohol problems (n = 23) to provide feedback on an item pool assessing social, human, physical, community, and cultural capital. Using applied qualitative analysis, we coded findings from interviews and focus groups and made final decisions by consensus regarding item elimination, retention, or revision. This process yielded a 49-item draft measure.

RESULTS

Only nine items from an initial 90-item list were retained in their original form. Participant feedback guided item elimination, addition, and revision for linguistic or conceptual clarity. We detected little systematic variation in feedback based on income or race; however, there were stark divergences on particular items based on recovery pathway (i.e. 12-step versus other approaches).

CONCLUSIONS

The high degree of alteration to the item pool highlights the importance of establishing validity with respondents. Response variation based on recovery pathway suggests the need for broad heterogeneity in respondents. Measures that are sensitive, psychometrically sound, and aligned with theory are critical for advancing research on recovery capital and related disparities for diverse populations.

Symptoms of Major Depressive Disorder Scale: Performance of a Novel Patient-Reported Symptom Measure

BACKGROUND

The Symptoms of Major Depressive Disorder Scale (SMDDS) was expressly developed on the basis of qualitative data to directly incorporate patients' voices into evaluation of treatment benefit in major depressive disorder (MDD) clinical trials.

OBJECTIVES

To collect quantitative data necessary to refine/optimize the SMDDS and document its psychometric properties.

METHODS

In this multicenter, observational study, participants with clinically diagnosed MDD completed questionnaires in 2 waves. Wave 1 was designed to refine the SMDDS using Rasch measurement evaluations and item reduction analyses. On a subset of wave 1 subjects, 7 to 12 months later, wave 2 further examined item performance and measurement properties. Exploratory factor analyses and assessments of construct validity and reliability (internal consistency and reproducibility) were completed.

RESULTS

Using wave 1 data (N = 315; females = 71%, white = 81%, mean age = 44 years), the SMDDS was revised from 36 to 16 items. The Rasch item threshold map indicated that all but 1 item (suicidal ideation) were appropriately ordered. The 207 wave 2 participants were 74% females, 82% white, with a mean age of 45 years. The exploratory factor analyses resulted in a single component (all standardized factor loadings >0.46). Cronbach α was 0.93 and the 7-day test-retest intraclass correlation coefficient (n = 93) was 0.84 (95% confidence interval 0.77-0.89). SMDDS scores discriminated between MDD severity levels.

CONCLUSIONS

The 16-item SMDDS generated highly reliable scores with substantial evidence of construct validity. On the basis of the evidence of appropriate content validity and sound psychometric performance, the Food and Drug Administration qualified the SMDDS as an outcome measure to support exploratory efficacy endpoints in MDD clinical trials.

Qualitative Development and Content Validity of the Non-small Cell Lung Cancer Symptom Assessment Questionnaire (NSCLC-SAQ), A Patient-reported Outcome Instrument

PURPOSE

The purpose of this article was to describe the process and results of the preliminary qualitative development of a new symptoms-based patient-reported outcome (PRO) measure intended for assessing treatment benefit in clinical trials of advanced non-small cell lung cancer (NSCLC).

METHODS

Individual qualitative interviews were conducted in adults with NSCLC (Stages I-IV) in the United States. Experienced interviewers conducted concept-elicitation (CE) and cognitive interviews using semistructured interview guides. The CE interview guide was used for eliciting spontaneous reports of symptom experiences along with probing to further explore and confirm concepts. Interview transcripts were coded and analyzed by professional qualitative coders, and were summarized by like content using an iterative coding framework. Data from the CE interviews were considered alongside existing literature and clinical expert opinion during an item-generation process, leading to the development of a preliminary version of the NSCLC Symptom Assessment Questionnaire (SAQ). Three waves of cognitive interviews were conducted to evaluate concept relevance, item interpretability, and structure of the draft items and to facilitate further instrument refinement.

FINDINGS

Fifty-one subjects (mean [SD] age, 64.9 [11.2] years; 51.0% women) participated in the CE interviews. A total of 1897 expressions of NSCLC-related symptoms were identified and coded in interview transcripts, representing ~42 distinct symptom concepts. A 9-item initial-draft instrument was developed for testing in 3 waves of cognitive interviews with additional subjects with NSCLC (n = 20), during which both paper and electronic versions of the instrument were evaluated and refined. Participant responses and feedback during cognitive interviews led to the removal of 2 items and substantial modifications to others.

IMPLICATIONS

The NSCLC-SAQ is a 7-item PRO measure intended for use in advanced NSCLC clinical trials to support medical product labelling. The NSCLC-SAQ uses a 7-day recall period and verbal rating scales. It was developed in accordance with the US Food and Drug Administration's PRO Guidance and scientific best practices, and the resulting qualitative interview data provide evidence of content validity. The NSCLC-SAQ has been prepared in both paper and electronic administration formats and a tablet computer-based version is currently undergoing quantitative testing to confirm its measurement properties and support US Food and Drug Administration qualification.