Jason, Leonard A, Reed, Jordan · Health psychology and behavioral medicine · 2015 · DOI
This study explains how researchers can better understand ME/CFS by combining two research approaches: collecting personal stories and experiences from patients (qualitative methods) alongside measuring data with numbers and statistics (quantitative methods). When researchers used both methods together, they gained a fuller picture of ME/CFS—including how the disease spreads, what people think about the illness name, and which treatments work—than they would have using just one approach alone.
This study demonstrates that combining personal patient stories with rigorous statistics creates a more complete understanding of ME/CFS than either approach alone. For patients, this means their lived experiences are recognized as scientifically valuable, and for researchers, it provides a blueprint for studying ME/CFS more comprehensively and translating findings into real-world improvements in treatment and policy.
This paper is a methodological framework paper, not a study that tests specific treatments or proves what causes ME/CFS. It does not establish efficacy of any particular treatment, nor does it provide new epidemiological data or clinical outcomes—rather, it argues for how future research should be conducted. The study does not prove that any single research approach is definitively superior, only that integration of multiple approaches provides complementary value.
About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →
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