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To enhance its applicability in large-scale studies and routine clinical practice while minimizing patient burden, a short-form version, the NIH-HEALS-SF, was developed. Using data from 200 participants, Least Absolute Shrinkage and Selection Operator (LASSO) regression was applied to identify the most predictive and relevant items from the original scale. Each item was assessed within three core domains: Connection, Reflection and Introspection, and Trust and Acceptance. The final nine-item version was validated in an independent sample of 164 individuals from three distinct cohorts. Psychometric evaluation demonstrated strong internal consistency (Cronbach\u2019s alpha: 0.75\u20130.85) and high correlation with the original full-scale NIH-HEALS (rp = 0.92\u20130.96). These findings suggest that the NIH-HEALS-SF maintains the conceptual integrity and measurement properties of the original instrument while reducing administration time. By offering a concise yet robust assessment of psychosocial-spiritual well-being, the NIH-HEALS-SF may facilitate broader implementation in both clinical and research contexts, particularly in settings where time-efficient assessments are needed.<\/jats:p>","DOI":"10.1371\/journal.pmen.0000276","type":"journal-article","created":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T20:31:30Z","timestamp":1743021090000},"page":"e0000276","update-policy":"https:\/\/doi.org\/10.1371\/journal.pmen.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development of the National Institute of Health Healing Experience of All Life Stressors Short Form (NIH-HEALS-SF)"],"prefix":"10.1371","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0029-139X","authenticated-orcid":true,"given":"Marcelli 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