Psychometric properties of the eight-item modified Medical Outcomes Study Social Support Survey based on Spanish outpatients

Autor: Carmen de Burgos-Lunar, Paloma Gómez-Campelo, Rodrigo Jiménez-García, Miguel A. Salinero-Fort, Elisa Pérez-Moreno, Carmen Bragado-Álvarez
Rok vydání: 2014
Předmět:
Zdroj: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation. 23(7)
ISSN: 1573-2649
Popis: The aim of this study was to examine the psychometric properties of the modified Medical Outcomes Study Social Support Survey (mMOS-SS) in a primary healthcare setting (PHCS). A cross-sectional descriptive study was carried out with Spanish outpatients (N = 903) from a PHCS. Subjects responded to the first eight items of the classic Medical Outcomes Study-Social Support Survey (MOS-SS), in effect the mMOS-SS, and immediately proceeded to give answers to the rest of the scale. Also, sociodemographic, self-reported health status and mood/anxiety disorders data were collected. Factor structure was analyzed using exploratory and confirmatory analysis, internal reliability was determined by Cronbach’s standardized alpha, and consistency was evaluated by item-to-total score correlations. Evidences of validity were assessed by Spearman’s rank correlations, and using the Mann–Whitney test or Kruskal-Wallis test as appropriate, of differences between the mMOS-SS and the MOS-SS. Mean scores for the MOS-SS (mean = 4.26, SD = 0.78) and mMOS-SS (mean = 4.34, SD = 0.74) are similar. Cronbach’s alpha was 0.96 and 0.91, for the MOS-SS and mMOS-SS, respectively. Item-to-total score correlations of the MOS-SS and mMOS-SS are ≥0.64 and ≥0.70, respectively. Exploratory factor analysis (EFA) [56.63% variance, KMO=0.904; χ2=4396.27], and confirmatory factor analysis (CFA) [CFI=0.95; NNFI(TLI)=0.97; SRMR=0.05; χ2=296.81; RMSEA=0.17] showed a one-factor structure. Psychometric properties of the Spanish version of the mMOS-SS in outpatients attending a PHCS are adequate. Factor analysis confirmed a one-factor model with acceptable fit indices.
Databáze: OpenAIRE