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Understanding patient experience in healthcare is increasingly important anddesired by medical professionals in a patient-centered care approach.Healthcare discourse on social media presents an opportunity to gain a uniqueperspective on patient-reported experiences, complementing traditional surveydata. These social media reports often appear as first-hand accounts ofpatients' journeys through the healthcare system, whose details extend beyondthe confines of structured surveys and at a far larger scale than focus groups.However, in contrast with the vast presence of patient-experience data onsocial media and the potential benefits the data offers, it attractscomparatively little research attention due to the technical proficiencyrequired for text analysis. In this paper, we introduce theDesign-Acquire-Process-Model-Analyse-Visualise (DAPMAV) framework to provide anoverview of techniques and an approach to capture patient-reported experiencesfrom social media data. We apply this framework in a case study on prostatecancer data from /r/ProstateCancer, demonstrate the framework's value incapturing specific aspects of patient concern (such as sexual dysfunction),provide an overview of the discourse, and show narrative and emotionalprogression through these stories. We anticipate this framework to apply to awide variety of areas in healthcare, including capturing and differentiatingexperiences across minority groups, geographic boundaries, and types ofillnesses.

Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework