PT  - JOURNAL ARTICLE
AU  - Nessle, C. Nathan
AU  - Ghazal, Lauren V.
AU  - Choi, Sung W.
AU  - Fetters, Michael D.
TI  - Joint Display of Integrated Data Collection for Mixed Methods Research: An Illustration From a Pediatric Oncology Quality Improvement Study
AID  - 10.1370/afm.2985
DP  - 2023 Jul 01
TA  - The Annals of Family Medicine
PG  - 347--357
VI  - 21
IP  - 4
4099  - http://www.annfammed.org/content/21/4/347.short
4100  - http://www.annfammed.org/content/21/4/347.full
SO  - Ann Fam Med2023 Jul 01; 21
AB  - PURPOSE Researchers often struggle to integrate quantitative and qualitative data. Joint displays of data collected using mixed methods provide a framework for supporting integration, yet the literature lacks methodologic articles illustrating in detail the iterative nature of constructing such displays. We demonstrate the process for creating a joint display for integrating the collection of data obtained by qualitative and quantitative methods.METHODS Within a convergent mixed methods cohort study, the Early Discharge of Febrile Neutropenic Children with Cancer Study, we constructed a joint display to inform integrated collection of 2 forms of data (quantitative and qualitative) from 2 sources (a patient-caregiver mixed methods survey and a manual abstraction of medical records).RESULTS In a first step, we used a data sources table to align related quantitative and qualitative data. The resulting table consisted of 2 side-by-side columns based on the mixed survey data. After several additional iterative steps, we constructed a final 6-column joint display. This final display delineated the separate data sources, linked constructs to the quantitative and qualitative variables within each source, and integrated the constructs across the separate data sources.CONCLUSIONS Challenges of integration, though not unique to prospective mixed methods cohort studies, stem from the sheer volume of qualitative and quantitative information and the need to logically organize the data in preparation for integrated data analysis. Tailoring joint displays to specific studies is challenging, but mixed methods researchers who embrace the methodologic malleability can produce effective joint displays to illustrate the mixed data collection linkages and create a preliminary structure ultimately for organizing mixed data findings.