Additional measures do not improve the diagnostic accuracy of the Hospital Admission Risk Profile for detecting downstream quality of life in community-dwelling older people presenting to a hospital emergency department

• Published in: Clinical interventions in aging 2014-01, Vol.9, p.233-242
• Main Authors: Grimmer, K, Milanese, S, Beaton, K, Atlas, A
• Format: Article
• Language: English
• Subjects: 65+ years; Accuracy; Activities of daily living; Admission and discharge; Age; Age Factors; Aged; Aged patients; Aged, 80 and over; Aging; Decision Support Techniques; Emergency Service, Hospital - statistics & numerical data; Female; functional decline; functional status; HARP; Health aspects; Health surveys; hospital admission risk profile; Hospitalization; Hospitals; Humans; Independent Living - statistics & numerical data; Male; Medical diagnosis; Medical research; mental decline; Older people; Original Research; Patient Admission - statistics & numerical data; physical decline; Quality of Life; Quantitative psychology; Questionnaires; Researchers; Risk Assessment - methods; Risk Assessment - statistics & numerical data; Risk Factors; ROC Curve; Sex Factors; Validity
• ISSN: 1178-1998; 1176-9092; 1178-1998
• DOI: 10.2147/CIA.S56086

The Hospital Admission Risk Profile (HARP) instrument is commonly used to assess risk of functional decline when older people are admitted to hospital. HARP has moderate diagnostic accuracy (65%) for downstream decreased scores in activities of daily living. This paper reports the diagnostic accuracy of HARP for downstream quality of life. It also tests whether adding other measures to HARP improves its diagnostic accuracy. One hundred and forty-eight independent community dwelling individuals aged 65 years or older were recruited in the emergency department of one large Australian hospital with a medical problem for which they were discharged without a hospital ward admission. Data, including age, sex, primary language, highest level of education, postcode, living status, requiring care for daily activities, using a gait aid, receiving formal community supports, instrumental activities of daily living in the last week, hospitalization and falls in the last 12 months, and mental state were collected at recruitment. HARP scores were derived from a formula that summed scores assigned to age, activities of daily living, and mental state categories. Physical and mental component scores of a quality of life measure were captured by telephone interview at 1 and 3 months after recruitment. HARP scores are moderately accurate at predicting downstream decline in physical quality of life, but did not predict downstream decline in mental quality of life. The addition of other variables to HARP did not improve its diagnostic accuracy for either measure of quality of life. HARP is a poor predictor of quality of life.