Complexity Prediction Instrument to detect 'complex cases' in respiratory wards: instrument development.
OBJECTIVE
This paper is a report of a study to test the hypothesis that the Spanish version of the Complexity Prediction Instrument is a reliable and valid measure of complexity of patients with respiratory disease and to identify the frequency of positive indicators of potential complexity.


BACKGROUND
Respiratory patients are often disabled and severely ill, with co-morbid physical conditions and associated psychosocial problems and need complex nursing care.


METHODS
Trained nurses assessed 299 consecutive adult patients admitted to a respiratory service in Spain from May 2003 until June 2004 with the new, Spanish version of the instrument. Criterion-related validity was tested by studying its ability to predict complexity of care in terms of: severity of illness, scored using the Cumulative Illness Rating Scale; length of hospital stay; 'multiple consultations' during admission; and 'multiple specialists' after discharge.


RESULTS
The hypothesis was supported: patients rating above the standard cut-off point on the Complexity Prediction Instrument scored statistically significantly higher on most of the measures of care complexity studied. Linear regression models showed that the tool was associated with 'length of hospital stay', and predicted both 'multiple consultations' and 'multiple specialists', after controlling for potential confounders. The proportion of 'probable complex cases' was 59.5%. Five positive indicators of potential complexity had a frequency higher than 50%.


CONCLUSIONS
The Complexity Prediction Instrument is reliable and valid in a new clinical area, respiratory disease. It may be used by nurses for the early prediction of complexity of care. International comparisons may be facilitated with this new Spanish version.
Lobo
Elena
E
Department of Microbiology, Preventive Medicine and Public Health, Instituto Aragonés de Ciencias de la Salud and University of Zaragoza, Zaragoza, Spain. elobo@unizar.es
Rabanaque
Maria-Jose
MJ
De Jonge
Peter
P
Barcones
Maria-Fe
MF
Cazcarra
Rosa-Ana
RA
Huyse
Frits J
FJ
Lobo
Antonio
A
D000368:Aged; D000369:Aged, 80 and over; D015331:Cohort Studies; D006801:Humans; D007802:Language; D007902:Length of Stay; D008875:Middle Aged; D011237:Predictive Value of Tests; D011446:Prospective Studies; D015203:Reproducibility of Results; D012120:Respiration Disorders / Q000175:diagnosis*; D012720:Severity of Illness Index; D011795:Surveys and Questionnaires