Illness wellness scale: novel grading system for performance status of patients under surgical care

Arun Kumar, Gopal Puri, Yashwant Singh Rathore, Sunil Chumber, Anjan Trikha, Piyush Ranjan, Kamal Kataria, Hemanga K. Bhattacharjee

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Grading the illness using clinical parameters is essential for the daily progress of inpatients. Existing systems do not incorporate these parameters holistically. The study was designed to internally validate the illness wellness scale, based upon clinical assessment of the patients requiring surgical care, for their risk stratification and uniformity of communication between health care providers. Methods: Prospective observational study conducted at a tertiary care hospital. An expert panel devised the scale, and it was modified after feedback from 100 health care providers. A total of 210 patients (150 for internal validation and 60 for inter-observer variability) who required care under the department of surgical disciplines were enrolled. This included patients presenting to surgery OPD, admitted to COVID/non-COVID surgical wards and ICUs, aged ≥16 years. Results: The response rate of the final illness wellness scale was 95% with 86% positive feedback and a mean of 1.7 on the Likert scale for ease of use (one being very easy and five being difficult). It showed excellent consistency and minimal inter-observer variability with the intra-class correlation coefficient (ICC) above 0.9. In the internal validation cohort (n = 150), univariate and multivariable analysis of factors affecting mortality revealed that categorical risk stratification, age ≥ 60 years, presence or absence of co-morbidities especially hypertension and chronic kidney disease significantly affect mortality. Conclusions: The Illness wellness scale is an effective tool for uniformly communicating between health care professionals and is also a strong predictor of risk stratification and mortality in patients requiring surgical care.

Original languageEnglish (US)
Pages (from-to)1190-1196
Number of pages7
JournalANZ Journal of Surgery
Volume93
Issue number5
DOIs
StatePublished - May 2023

All Science Journal Classification (ASJC) codes

  • Surgery

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