Feasibility and accuracy of a nonmedical research person in assimilation and calculation of acute physiologic assessment and chronic health evaluation scores in an Indian intensive care unit
George Kurian, Pritish Korula, Mahasampath S. Gowri
Keywords :
Acute Physiologic Assessment and Chronic Health Evaluation score, intensive care, interrater agreement
Citation Information :
Kurian G, Korula P, Gowri MS. Feasibility and accuracy of a nonmedical research person in assimilation and calculation of acute physiologic assessment and chronic health evaluation scores in an Indian intensive care unit. Indian J Crit Care Med 2018; 22 (7):524-527.
Background: The Physiologic Assessment and Chronic Health Evaluation (APACHE) score assimilation and calculation, as well as other demographic data collection, is inherent to research and nonresearch related needs of intensive care. There may be a role for well-trained nonmedical personnel to collect this vital material to enhance research and the standard of care in the Intensive Care Units (ICUs) in countries that are poorly funded and resourced in terms of medical personnel.
Aims: The aim of this study is to verify the interrater reliability of a trained nonmedical personnel and ICU trainee in the collection and calculation APACHE scores.
Materials and Methods: In a prospective study, two raters who were blinded, one a trained nonmedical ward clerk and another an ICU trainee, assimilated data and calculated APACHE scores for 60 consecutive patients admitted to two tertiary mixed ICUs (with a total of 19 beds). Primary outcomes were to assess interrater and interclass correlation as well as the agreement of scores between the two raters.
Results: There was an excellent correlation of APACHE scores (Kappa coefficient of 0.92) and Bland–Altman plot depicted overall good agreement with low bias between raters.
Conclusions: A well-trained and supervised nonmedical research person can assimilate and calculate APACHE II scores with good agreement with an ICU trainee. This may help in deriving data from medically understaffed ICUs in India, thus promoting much-needed research from such ICUs.
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