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. 2021 Mar 27;25(Suppl 2):203–213. doi: 10.1007/s10461-021-03240-w

Table 2.

Techniques for longitudinal and cross-sectional analysis of in-depth interview data

Techniques JustHouHS Stigma and social cohesion

Case-based tracking and synthesis documents

 Facilitated data management

Enabled quick familiarization with data at each time point

 Aided systematic preparation of follow-up questions

A matrix was created for each participant summarizing data at each of the four waves including demographic information, survey data, and interview summaries

 Organized by the primary study domains (e.g. housing, economic situation, health, criminal justice involvement, substance use, partners and sex, HIV)

 Contributed to a master topical matrix that combined information from different cases, with separate tabs for each substantive domain, allowing the identification of themes, and comparison of context and experiences across participants, over time

An analytic summary was created for each participant that included socio-demographic data and viral suppression status, and the following sections with space for each of the three interviews

 Contextualized summary of HIV narrative including diagnosis, family and relationship dynamics, and managing life with HIV

 Key quotes and themes (inductive and deductive) used to develop codebook

 Summary of content of topical modules included in the interview guide at each wave (e.g. mobility, perceptions of long acting injectable ART, mindfulness)

 Follow-up questions to clarify content from previous interviews and probe on emergent areas

Indexing

 Identified large sections of text by topic

 Facilitated easy retrieval of information

 20 indices related to main study domains applied to transcripts in Nvivo

 Facilitated development of codes and writing of analytical memos

 Section within analytic summaries indexed data from topic-specific modules (long-acting injectable anti-retroviral therapy (ART), mindfulness, mobility). This facilitated efficient review of topical information while keeping the data within the overall context of the participant

 Example: mixed methods analysis of perceptions and attitudes of long-acting injectable ART at baseline [26]

Coding

 Labeled thematic content systematically using software

 Used in conjunction with indices

 Example: for an analysis of the residential experiences of people returning from prison, excerpts labeled with the index “housing” were further coded with sub-codes related to types of residences (halfway houses, homeless shelter, etc.) in Nvivo

 Codes were developed to label sections of the HIV narrative elicited in baseline interviews including diagnosis, disclosure, initiating care/treatment. Coding these chapters using Atlas.ti facilitated comparative analysis of HIV trajectories based on viral suppression status across participants

 We plan to use time-focused codes to systematically track processes related to stigma and social cohesion

Memo writing

 Facilitated analysis and interpretation of original research questions and emergent themes

 Bridged analytic and interpretive processes

 Could be specific to one transcript, participant, group of participants, or thematic

 Facilitated sharing analytic thinking prior to research team meetings and summarized ideas generated during meetings

 Assisted with more deeply understanding the data

 Example: in an analysis of gender and HIV risk, material indexed at the intersection of relationships, HIV, and sex was used to write participant-specific analytical memos related to themes of interest

 Within the analytic summary, a memo-within-a-memo to describe emerging ideas regarding processes related to stigma and social cohesion over time within participants

 Thematic memos will be used to facilitate cross-sectional and longitudinal analysis of key themes across participants