Conducting rapid qualitative interview research during the COVID-19 pandemic-Reflections on methodological choices

From voice to ink (Vink): development and assessment of an automated, free-of-charge transcription tool

BACKGROUND

Verbatim transcription of qualitative audio data is a cornerstone of analytic quality and rigor, yet the time and energy required for such transcription can drain resources, delay analysis, and hinder the timely dissemination of qualitative insights. In recent years, software programs have presented a promising mechanism to accelerate transcription, but the broad application of such programs has been constrained due to expensive licensing or "per-minute" fees, data protection concerns, and limited availability of such programs in many languages. In this article, we outline our process of adapting a free, open-source, speech-to-text algorithm (Whisper by OpenAI) into a usable and accessible tool for qualitative transcription. Our program, which we have dubbed "Vink" for voice to ink, is available under a permissive open-source license (and thus free of cost).

RESULTS

We conducted a proof-of-principle assessment of Vink's performance in transcribing authentic interview audio data in 14 languages. A majority of pilot-testers evaluated the software performance positively and indicated that they were likely to use the tool in their future research. Our usability assessment indicates that Vink is easy-to-use, and we performed further refinements based on pilot-tester feedback to increase user-friendliness.

CONCLUSION

With Vink, we hope to contribute to facilitating rigorous qualitative research processes globally by reducing time and costs associated with transcription and by expanding free-of-cost transcription software availability to more languages. With Vink running on standalone computers, data privacy issues arising within many other solutions do not apply.

Team-Based Qualitative Rapid Analysis: Approach and Considerations for Conducting Developmental Formative Evaluation for Intervention Design

Qualitative rapid analysis is one of many rapid research approaches that offer a solution to the problem of time constrained health services evaluations and avoids sacrificing the richness of qualitative data that is needed for intervention design. We describe modifications to an established team-based, rapid analysis approach that we used to rapidly collect and analyze semi-structured interview data for a developmental formative evaluation of a cardiovascular disease prevention intervention. Over 18 weeks, we conducted and analyzed 35 semi-structured interviews that were conducted with patients and health care providers in the Veterans Health Administration to identify targets for adapting the intervention in preparation for a clinical trial. We identified 12 key themes describing actionable targets for intervention modification. We highlight important methodological decisions that allowed us to maintain rigor when using qualitative rapid analysis for intervention adaptation and we provide practical guidance on the resources needed to execute similar qualitative studies. We additionally reflect on the benefits and challenges of the described approach when working within a remote research team environment.ClinicalTrials.gov: NCT04545489.

Approaches to enabling rapid evaluation of innovations in health and social care: a scoping review of evidence from high-income countries

OBJECTIVE

The COVID-19 pandemic increased the demand for rapid evaluation of innovation in health and social care. Assessment of rapid methodologies is lacking although challenges in ensuring rigour and effective use of resources are known. We mapped reports of rapid evaluations of health and social care innovations, categorised different approaches to rapid evaluation, explored comparative benefits of rapid evaluation, and identified knowledge gaps.

DESIGN

Scoping review.

DATA SOURCES

MEDLINE, EMBASE and Health Management Information Consortium (HMIC) databases were searched through 13 September 2022.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

We included publications reporting primary research or methods for rapid evaluation of interventions or services in health and social care in high-income countries.

DATA EXTRACTION AND SYNTHESIS

Two reviewers developed and piloted a data extraction form. One reviewer extracted data, a second reviewer checked 10% of the studies; disagreements and uncertainty were resolved through consensus. We used narrative synthesis to map different approaches to conducting rapid evaluation.

RESULTS

We identified 16 759 records and included 162 which met inclusion criteria.We identified four main approaches for rapid evaluation: (1) Using methodology designed specifically for rapid evaluation; (2) Increasing rapidity by doing less or using less time-intensive methodology; (3) Using alternative technologies and/or data to increase speed of existing evaluation method; (4) Adapting part of non-rapid evaluation.The COVID-19 pandemic resulted in an increase in publications and some limited changes in identified methods. We found little research comparing rapid and non-rapid evaluation.

CONCLUSIONS

We found a lack of clarity about what 'rapid evaluation' means but identified some useful preliminary categories. There is a need for clarity and consistency about what constitutes rapid evaluation; consistent terminology in reporting evaluations as rapid; development of specific methodologies for making evaluation more rapid; and assessment of advantages and disadvantages of rapid methodology in terms of rigour, cost and impact.