Applying the theory of planned behaviour to multiple sclerosis patients’ decisions on disease modifying therapy – questionnaire concept and validation

Table 2 Predictive power of PBMS (Pre-test and RCT)

Sample	Measure-ment	Outcome	PBMS predictor set
	point		intention estimate	domains	sub-domains
			1 predictor	3 predictors	6 predictors
	pre total n = 50	r²	.55(.54)*	.60(.57)*	.69(.65)*
Pre-test	pre sub s. n = 19	r²	.34(.31)*	.38(.30)	.56*(.42)
	post sub s. n = 19	r²	.65(.63)*	.68(.61)*	.73(59)*
	pre total n = 177	r²	.41(41)*	.43(41)*	.50(48)*
RCT	post total n = 177	r²	.61(61)*	.63(62)*	.68(67)*
	post CG n = 88	r²	.56(.56)*	.56(.55)*	.64(61)*
	post IG n = 89	r²	.69(69)*	.74(73)*	.78(76)*

The table shows R-square(corrected R-square) values (indicating the percentage of explained variance) from predicting the criterion intention to use DMT (disease modifying therapy) using various predictor sets drawn from the PBMS in regression analyses.”*” = significance level <0.01. The pre-test sub sample (n = 19) includes participants of the PEPADIP pilot course who completed the PBMS twice (pre & post). RCT=randomized controlled trial.

ISSN: 1472-6947