The theoretical and empirical basis of a BioPsychoSocial (BPS) risk screener for detection of older people’s health related needs, planning of community programs, and targeted care interventions

Table 9 Adjusted regression analysis (Poisson Incidence Rates Ratios) for Length of Stay (administrative data), n = 1325 participants aged 60 and over

Model	Domain	Level	IRR (95% CI, P-value)	P-value	Linear trend (95%CI, P-value)
	Biological	No risk	Reference	< 0.001	2.95 (2.17 to 4.03, < 0.001)
		Some risk	2.39 (1.35 to 4.22, 0.003)
		High risk	9.01 (4.82 to 16.82, < 0.001)
Model with individual domain managing counts^a	Psychological	No risk	Reference	0.171	1.02 (0.68 to 1.53, 0.926)
		Some risk	1.63 (0.82 to 3.24, 0.166)
		High risk	0.6 (0.24 to 1.52, 0.285)
		No risk	Reference
		Some risk	1.27 (0.72 to 2.22, 0.409)	0.138	1.36 (1.01 to 1.83, 0.041)
	Social	High risk	1.87 (1.03 to 3.37, 0.038)
Model with managing scores^b	BioPsychoSocial	Doing well	Reference	< 0.001	2.93 (2.11 to 4.08, < 0.001)
		Some problems	4.02 (2.33 to 6.92, < 0.001)
		Many problems	8.4 (4.04 to 17.48, < 0.001)
		Overwhelming problems	7.14 (1.07 to 47.66, 0.042)

^aThe individual B, P, S categories were put into the same model with the following covariates: age, gender, ethnicity, income and education
^bLikewise, the combined managing score categories were put into a model with the following covariates: age, gender, ethnicity, income and education

ISSN: 1471-2318