Evaluation of Complexity Measurement Tools for Correlations with Health-Related Outcomes, Health Care Costs and Impacts on Healthcare Providers: A Scoping Review

• Published in: International journal of environmental research and public health Vol. 19; no. 23; p. 16113
• Main Authors: Kaneko, Hiromitsu, Hanamoto, Akiko, Yamamoto-Kataoka, Sachiko, Kataoka, Yuki, Aoki, Takuya, Shirai, Kokoro, Iso, Hiroyasu
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-12-2022; MDPI
• Subjects: Adult; Clinical outcomes; Complex patients; Complexity; Cost assessments; Costs; Disease; Health care; Health Care Costs; Health Personnel; Humans; Management tools; Medical records; Medical research; Mental disorders; Mental health; Observational studies; Patients; Physicians; Primary care; Review; Self assessment; Socioeconomic factors; Validity; patient complexity; primary care; tools; health-related outcomes; scoping review
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph192316113

Various tools to measure patient complexity have been developed. Primary care physicians often deal with patient complexity. However, their usefulness in primary care settings is unclear. This study explored complexity measurement tools in general adult and patient populations to investigate the correlations between patient complexity and outcomes, including health-related patient outcomes, healthcare costs, and impacts on healthcare providers. We used a five-stage scoping review framework, searching MEDLINE and CINAHL, including reference lists of identified studies. A total of 21 patient complexity management tools were found. Twenty-five studies examined the correlation between patient complexity and health-related patient outcomes, two examined healthcare costs, and one assessed impacts on healthcare providers. No studies have considered sharing information or action plans with multidisciplinary teams while measuring outcomes for complex patients. Of the tools, eleven used face-to-face interviews, seven extracted data from medical records, and three used self-assessments. The evidence of correlations between patient complexity and outcomes was insufficient for clinical implementation. Self-assessment tools might be convenient for conducting further studies. A multidisciplinary approach is essential to develop effective intervention protocols. Further research is required to determine these correlations in primary care settings.