Table 2.

Estimates of Treatment Effects on Self-Management Indicators

	Usual Care	Basic Intervention		Augmented Intervention
	Adjusted Probability	Adjusted Probability	Difference	Adjusted Probability	Difference
Medicine Management
Patient skips medicine	27.6	27.7	0.1 [.990]	25.4	−2.2 [.604]
Patient is sure about when to take HF medicine	67.4	70.3	2.9 [.494]	69.6	2.2 [.613]
Patient recognition of own HF medicines			[.002]		[.023]
Does not recognize any of own HF medicines	43.9	31.1	−12.8	34.3	−9.6
Recognizes up to half of own HF medicines	29.8	30.5	0.7	30.6	0.9
Recognizes>half of own HF medicines	26.3	38.4	12.1	35.0	8.7
Diet and Weight Management
Patients salts food	30.7	27.6	−3.1 [.490]	23.3	−7.4 [.095]
Patient's weighing behavior			[.352]		[.082]
Patient has no scale	34.6	38.3	3.7	27.9	−6.7
Patient weighs self but not daily	44.0	43.0	−1.0	44.7	0.7
Patient weighs self daily	21.4	18.7	−2.7	27.4	6.0

Notes:p-values are in brackets. Adjusted probabilities are calculated based on underlying coefficients from multivariate models that control for the same set of patient, nurse, and location characteristics. These control variables include sociodemographic characteristics of the patient (age, gender, race/ethnicity, marital status, education, expected payment source); baseline measures of patients' health and functional status, including limitations in ADLs and IADLs, physical, social and cognitive functioning, and presence of comorbidities; baseline measures of patients' social support and living arrangements; the provider nurse's baseline characteristics, including gender, home care experience, educational level, and caseload; and environmental characteristics such as borough of residence. Standard errors have been adjusted to account for clustering effects (i.e., multiple observation on patients for a given nurse).

HF, heart failure; ADLs, activities of daily living; IADLs, instrumental activities of daily living.