2019
DOI: 10.1590/1516-3180.2019.0123160919
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Validation of a new tool for evaluating subjects’ satisfaction with medicine package leaflets: a cross-sectional descriptive study

Abstract: BACKGROUND: Package leaflets of medicines need to be intelligible, but tools for their evaluation are scarce. OBJECTIVE: To validate a new tool for assessing subjects' satisfaction with medicine package leaflets (LiS-RPL). DESIGN AND SETTING: Cross-sectional descriptive study conducted in two regions of Portugal (Lisbon and Centre). METHODS: 503 participants (53.1% male) were selected according to convenience and homogenously distributed into three groups: 1 to 6; 7 to 12; and > 12 years of schooling. LiS-RPL … Show more

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Cited by 6 publications
(5 citation statements)
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“….70 for the two constructs) suggesting good internal consistency (Hair et al, 2009;Pires et al, 2019). Both MIICs values varied between .15 and .50, confirming that the items belonging to each factor exhibit a certain uniformity among themselves but do not present isomorphism (Clark & Watson, 1995).…”
Section: Reliabilitymentioning
confidence: 88%
See 1 more Smart Citation
“….70 for the two constructs) suggesting good internal consistency (Hair et al, 2009;Pires et al, 2019). Both MIICs values varied between .15 and .50, confirming that the items belonging to each factor exhibit a certain uniformity among themselves but do not present isomorphism (Clark & Watson, 1995).…”
Section: Reliabilitymentioning
confidence: 88%
“…Subsequently, the entire sample was randomly divided into two distinct subsamples: (a) the first was used to conduct a parallel analysis (PA) followed by an exploratory factor analysis (EFA); (b) the second subsample was reserved for a confirmatory factor analysis (CFA). The PA was conducted with 2000 random samples, aimed to extract the adequate number of latent factors (Pires et al, 2019). Then, the EFA was used to identify and refine the latent structure of the scale (Karami, 2014) using the Maximum likelihood with robust standard errors (MLR) method.…”
Section: 4data Preparation and Statistical Analysismentioning
confidence: 99%
“…We verified the KMO sampling adequacy values, the Barlett's test of sphericity and high correlations between items (r > .9) to avoid multicollinearity issues (Field, 2013). An EFA based on tetrachoric correlation matrix was performed to discover the underlying factorial structure of the SABS items using FACTOR software version 10.10.02 (Lorenzo-Seva & Ferrando, 2006-2019. Before AFE, the number of latent factors were determined based on three methods: (1) Optimal implementation of parallel analysis (PA) with 2,000 random samples ; (2) Velicer's (1976) minimum average partial test (MAP), and (3) Hull method (Lorenzo-Seva et al, 2011).…”
Section: Discussionmentioning
confidence: 99%
“…Before AFE, the number of latent factors were determined based on three methods: (1) Optimal implementation of parallel analysis (PA) with 2,000 random samples ( Timmerman & Lorenzo-Seva, 2011 ); (2) Velicer’s (1976) minimum average partial test (MAP), and (3) Hull method ( Lorenzo-Seva et al, 2011 ). Afterwards, an EFA using the Weighted Least Square Mean and Variance Adjusted (WLSMV) estimation method with a PROMIN oblique rotation (if necessary) was performed ( Pires et al, 2019 ; Timmerman & Lorenzo-Seva, 2011 ). Only items with factor loadings higher than 0.3 were representative ( Field, 2013 ).…”
Section: Methodsmentioning
confidence: 99%
“…Sixth, we assessed SABS-PT reliability using Kuder-Richardson 20 (KR-20) and Mc-Donald's omega (ωt) as indices of internal consistency for gender and total sample. A minimum value of 0.60 was considered acceptable for both KR-20 and ωt [53][54][55][56][57]. The mean inter-item correlation (MIIC) was used to assess the homogeneity of items [58].…”
Section: Data Preparation and Statistical Analysismentioning
confidence: 99%