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Nvivo software v12

Manufactured by Lumivero
Sourced in Australia

NVivo software v12 is a qualitative data analysis tool designed to help researchers and analysts manage, organize, and analyze non-numerical data, such as interviews, focus groups, surveys, and other text-based sources. It provides a range of features for coding, querying, and visualizing data to support research and analytical tasks.

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Lab products found in correlation

4 protocols using nvivo software v12

1

Analyzing COVID-19 Experiences Across Lockdowns

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Statistical analyses were performed using IBM SPSS Statistics, v27. Participants included in our analysis were (a) characterized using descriptive statistics, and (b) compared two ways (“In Lockdown” vs. “Not in Lockdown” and “Prior to any Lockdown” vs. “During or Following any Lockdown”) using independent sample t-tests or Mann Whitney U Tests (continuous variables) and Chi-square tests (categorical variables) as appropriate. Similarly, we conducted analysis to determine whether outcomes differed in participants located in an LGA of concern compared with those not located in an LGA of concern.
Qualitative data were uploaded to NVivo software v12 (QSR International Pty Ltd) for management and coding. For this sub-study, comments related to COVID-19 were identified and extracted from the interview transcripts by the interviewer. Interviews were not categorized by whether or not they were conducted during lockdowns, as participants described their experiences across the postnatal period, rather than at a single timepoint (or “during the last week”). De-identified extracts are included to provide depth to the findings from the quantitative analysis.
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2

Qualitative Study of Barriers to HIV Testing

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All participants were allocated a unique identifier number delinked from their name, which was used to label audio-recordings and typed transcripts. Audio recordings and transcripts were securely stored on password-protected computers. Inaudible responses, although minimal, were documented in the transcripts. Signed informed consent forms were stored separately in a locked cabinet.
We analysed the data using thematic analysis based on inductive reasoning.20 (link) An in-country translator transcribed the FGDs and IDIs directly into English in Microsoft Word, which the RAs exported into NVivo software V.12 (QSR International). Using inductive reasoning, HCN, MF and JV conducted open coding and wrote memos to define key concepts and themes. The three analysts examined the initial coding and preliminary themes to identify recurring ideas, views and contexts emerging from both data sets. This helped focus the final analyses on key themes, which were then categorised into facilitators and barriers to HIV testing. AS verified coder concordance. Finally, the team discussed key themes over a 3-day workshop to ascertain information saturation and design questions for co-creation activities.
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3

Qualitative Analysis of Focus Group Data

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Data from the focus groups were analysed using standard qualitative techniques [52 ]. All transcripts were read by the relevant researchers (the session leaders and assistants) and the analysis included a process of open, axial and selective coding. A thematic analysis was conducted to identify major themes with the assistance of NVivo software v12 (QSR International Pty Ltd., Doncaster, Victoria, Australia). Quotes that summarised the essence of the participants’ experiences were identified. Researcher triangulation was applied during the entire process, for example, separate analyses of the transcripts were conducted by two of the researchers who reached consensus over the findings and the emerging themes with the help of the third researcher.
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4

Hybrid Approach to Analyze Secure Messages

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Secure message responses were analyzed using a hybrid inductive and deductive approach. The hybrid approach used an existing coding scheme developed for secure messages2 (link) to assess patient-centeredness based on the messages’ purpose, tone (eg, friendliness on a scale from 1 to 3), and content area (eg, medications or referral), and examined emergent themes using inductive analysis. Data were organized into meaningful units and developed into categories (eg, clinical reasoning) for use in representing a coherent account of participants’ perspectives. Interviews were audio-recorded, transcribed, and analyzed using an immersion and crystallization approach to uncover themes.13 The team used NVivo software, V.12 (QSR International Pty Ltd) to organize and code messages and interview transcripts.
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