July 2017
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1 Citation
Innovation in Aging
Population aging increases the need to better understand the determinants of hospitalization in order to improve the quality of services. However, usual health measures often prove to be poorly predictive of hospitalization. The aim of this research is to determine whether physiological health measures designed for older adults, namely the Short Physical Performance Battery (SPPB) (Guralnik et al., 1994), frailty phenotypes (Fried et al., 2001), and profiles of functional decline (Lunney et al., 2003), are better predictors of hospital use. We use longitudinal data from the International Mobility in Aging Study (IMIAS), carried out between 2012 and 2014 in four countries (Canada, Brazil, Colombia, Albania) among individuals aged 65–74 at baseline (n=1724). Differences between health systems provide additional insights into the determinants of hospitalization. Health profiles from 2012, besides other confounders, are used to explain hospitalization in 2014. SPPB scores are computed using objective measures of gait speed, chair-stands, and balance. Frailty phenotype variables are created according to Fried’s classification into robust, pre-frail, and frail. Four profiles of functional decline are created: (1) terminal illness – cancer and at least one ADL disability; (2) organ failure – heart or lung disease and at least 2 ADL disabilities, (3) low reserve – stroke or more than 2 ADL disabilities, and (4) other respondents. Sample attrition is corrected by means of a Heckman selection Probit model. Our results indicate that a score below 8 on SPPB, the pre-frailty phenotype, and a profile of organ failure are significantly associated with hospitalization. Cross-country differences are discussed.