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Nvivo 12.0 pro

Manufactured by Lumivero
Sourced in Australia

NVivo 12.0 Pro is a software package designed for qualitative and mixed-methods research. It provides tools for organizing, analyzing, and visualizing unstructured data, such as interviews, focus groups, and social media content. The software supports a range of data types, including text, audio, video, and images, and offers features for coding, querying, and reporting.

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Lab products found in correlation

2 protocols using nvivo 12.0 pro

1

Qualitative Analysis of Focus Groups

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Focus groups were professionally transcribed verbatim in Spanish. Final transcripts were de-identified and reviewed in the original Spanish for accuracy by two team members (GP;GC). NVivo 12.0 Pro (QSR International, Australia) was used to manage coding. We used content and thematic analysis to analyze transcripts (Miles et al., 2013 ). GP and GC created a preliminary codebook based on the interview guide and on emergent themes based on line by line coding of initial transcripts. We implemented recurring team debriefing meetings and member checks to ensure trustworthiness, the qualitative equivalent of reliability and validity (Lincoln & Guba, 1985 ). Team members met weekly during data collection to review transcripts and discuss coding. Member checks provided the opportunity for team members to validate themes emerging from the data. Codes were organized into categories through a consensus process to reflect a range of subthemes, and to characterize both confirmatory and contradictory narratives (Allen, 2017 ). The final coding schema and subsequent themes were reviewed and discussed by the entire research team to reach consensus. External validation of the final results were provided by a focus group participant. This study follows the Consolidated Criteria for Reporting Qualitative Health Research (Tong et al., 2007 (link)).
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2

Qualitative Analysis of Physician and Nurse Perspectives

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Data from all 51 physicians and 19 nurses were useful and included in the analysis. Thematic analysis [32 (link)] was conducted using the framework approach (FA) [33 ] to incorporate and categorize complex data from both focus group and individual interviews. The development of a preliminary coding framework was based on prior literature review. Each transcript was coded by two out of the four investigators using NVivo 12.0 Pro (QSR International 2020). The investigators coded independently, met afterwards to check and discuss any discrepancies and refine the framework. Final themes derived from the codes were decided by two members most experienced in qualitative analyses.
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