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Background: The COVID-19 pandemic continues to impact health care workers’ (HCWs’) mental health. Research show that psychological distress and hard challenges abide with strong commitment to contribute. Yet, in-depth understanding of HCWs’ experiences of the changed caring reality during the pandemic is missing. Mixed methods research (MMR) accommodates several features apart from employing either quantitative or qualitative methods. This presentation focuses on examples from the 13-step mixed method by Leech and Onwuegbuzie.

Methods: 97 HCWs in one hard-hit region in Sweden answered a web-based questionnaire measuring symptoms of stress (using DSM-5 criteria for post-traumatic stress syndrome, PTSD) in relation to perceived sense of coherence (SOC-scale) and self-compassion (SCS) as well as HCWs’ experiences. First, qualitative data (experiences of the pandemic) was analyzed by qualitative content analysis, then quantitative data (associations between PTSD and SOC/SCS) were analyzed with linear regression adjusted for covariates. Thirdly, a synthesis, the meta-inference of qualitative and quantitative data, explained a new comprehensive understanding. 

Results: By analyzing the categories and subcategories from the qualitative analysis in relation to symtoms of stress and SOC/SCS, a synthesis emerged. This was undertaken by merging and comparing the findings and discussing the new comprehensive understanding. Finally, to fully outline the mixed methods approach, qualitative and quantitative data were synthesized into a new comprehensive whole, a meta inference. 

Conclusion: This study moves away from dichotomic traditions between qualitative or quantitative approaches. By broadening the methodological departure this study may provide a new comprehensive understanding and contribute to enhance quality in MMR.