Utilizing a novel digital affect mirror, morphii, to assess affective determinants of health

Abstract

Introduction Decades of research have shown that affect, emotions and moods, significantly impact all aspects of health behaviors. This research utilized a novel digital analogue technology (Morphii) to assess eight affective domains: stress, anxiety, loneliness, irritability, depression, pain, energy and overall feelings of wellness. Objectives To demonstrate the feasibility of use and strength of relationship/comparison to validated measures. Methods A U.S. census-based sample of adults ages 18-80 (n=985) completed online assessments including the 8 Morphii’s and additional comparative mental/behavioral health assessments (PSS-4, GAD-7, UCLA Loneliness Scale V3, BITe, PHQ-8 & PHQ-2, P4 Pain Scale, WHO-5, CFQ-11, ESS, and Vitality Subscale SF-36) via the Prolific Academic online platform and were compensated nominally for their participation. The resulting sample was 51.6% female and 74.2% White. Results Each Morphii was compared with the common corresponding industry assessment (e.g., Depression Morphii with PHQ) resulting in Pearson correlations ranging from -.519 to .761, with 6 of the 8 showing correlations above .700. Pearson correlations between dysfunction and each of the 8 Morphiis were significant at the p < .000 level, ranging from a low of .421 (Loneliness) to a high of .607 (Depression). Internal reliability was very good (Cronbach’s Alpha = .862). Respondents who expressed an assessment modality preference (55.2%) chose the Morphii type over traditional assessment format at a 2.5:1 ratio. Conclusions Morphii provides a reliable and valid assessment option with the ability to obtain a comprehensive (8 domains at once), efficient (less than 60 second administration), assessment with increased patient/client preference and engagement. Disclosure Milanak - submitting author - I serve on the advisory board for ADoH Scientific to consult on scientific research of Morphii development. To date, I have not been paid any money for this advisory role.

Keywords

• Assessment
• Affect
• healthcare analytics
• Whole person health