• Intensive care medicine · Sep 2000

    Validation of two quality of life questionnaires suitable for intensive care patients.

    • M Capuzzo, C Grasselli, S Carrer, G Gritti, and R Alvisi.
    • Department of Biomedical Sciences and Advanced Therapy, University Hospital of Ferrara, Italy.
    • Intensive Care Med. 2000 Sep 1;26(9):1296-303.

    ObjectiveTo validate two instruments measuring quality of life (QOL) suitable for patients admitted to the intensive care unit (ICU): QOL-IT and QOL-SP.DesignProspective study using patient interviews.SettingTwo four-bed surgical-medical ICUs in a 960-bed teaching hospital.Patients And MethodsOne hundred seventy-two adult, co-operative patients consecutively admitted to ICU for more than 24 h were interviewed. One year after hospital discharge, 84 survivors were interviewed again. Inter-observer reproducibility was investigated in 36 patients. To validate the instruments, the QOL-IT and QOL-SP scores reported by patients were considered according to the functional limitation evaluated by the interviewer. Moreover, the theoretical prediction that patients with chronic diseases should have a worse QOL before ICU admission than patients with only acute illness was tested. QOL-IT and QOL-SP scores given 1 year after hospital discharge were compared with those recorded at the first interview.ResultsInter-observer reproducibility was excellent. The possible range of QOL-IT is 0-20 and that of QOL-SP 0-29. According to the functional limitation (absent, mild or severe), the median QOL-IT score increased from 3 to 6 to 13 and QOL-SP from 2 to 6 to 12 (p< 0.0001). The patients with chronic diseases gave scores significantly higher than the patients with only acute illness (median QOL-IT 8 versus 3, p< 0.013; QOL-SP 8 versus 4, p< 0.004). The median QOL-IT score changed from 3 to 4 one year after hospital discharge, a difference which is statistically (p< 0.001), but not clinically, significant. The median QOL-SP score was 3 and did not change.ConclusionsQOL-IT and QOL-SP are instruments able to discriminate between different health states.

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