Exploring Older Adults' Strengths, Problems, and Wellbeing Using De-identified Electronic Health Record Data.
Year: 2018
Type: article
Study design: Observational Study
Abstract: As new data sources including individuals' strengths emerge in electronic health records, such data provide whole-person oriented information to generate integrated knowledge for person-centered practice. The purpose of this study is to describe older adults' strengths and problems within a wellbeing context documented by the Omaha System. The Wellbeing Model is employed as a conceptual framework for wellbeing and is operationalized by the Omaha System Problem Classification Scheme. This study has a retrospective, descriptive design using de-identified EHR data of wellbeing assessments including problems, strengths, and signs/symptoms for a convenience sample of 440 assisted-living residents in a Midwest metropolitan area. Descriptive statistics and data visualization were used to summarize and display strength and signs/symptom attributes within wellbeing contexts. The study reveals cutting-edge knowledge regarding older adults' strengths and wellbeing, and creates a platform for further research use of a strength-based ontology in clinical practice and electronic system of documentation.
Source: Europe PMC (PubMed Central)
Authors: Grace Gao, David Pieczkiewicz, Madeleine Kerr, Ryth Lindquist, Chih-Lin Chi, Sasank Maganti, Robin Austin, Mary Jo Kreitzer, Katherine Todd, Karen A Monsen
Institution: University of Minnesota
Language: English
Subfield: Research and Theory
Field: Nursing
Domain: Health Sciences
Open Access status: green
Funder: National Institutes of Health
OpenAlex ID: W2942502016
