AGRASS Questionnaire: Assessment of Risk Management in Health Care

• Main Authors: Zenewton André da Silva Gama (Author), Pedro Jesus Saturno-Hernandez (Author), Anna Claudia Sales Gomes Caldas (Author), Marise Reis de Freitas (Author), Ana Elza Oliveira de Mendonça (Author), Carlos Alexandre de Souza Medeiros (Author), Wilton Rodrigues Medeiros (Author), Oliver Kessler (Author), Diogo Penha Soares (Author)
• Format: Book
• Published: Universidade de São Paulo, 2020-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 1518-8787; 10.11606/s1518-8787.2020054001335
• Keywords: Patient Safety; Risk Management; Validation Studies; Public aspects of medicine; RA1-1270
• Source: Revista de Saúde Pública, Vol 54 (2020)

ABSTRACT OBJECTIVE This study aims to assess the development and the validity analysis of the Assessment of Risk Management in Health Care Questionnaire (AGRASS). METHODS This is a validation study of a measurement instrument following the stages: 1) Development of conceptual model and items; 2) Formal multidisciplinary assessment; 3) Nominal group for validity analysis with national specialists; 4) Development of software and national pilot study in 62 Brazilian hospitals 5) Delphi for validity analysis with the users of the questionnaire. In stages 3 and 5, the items were judged based on face validity, content validity, and utility and viability, by a 1-7 Likert scale (cut-off point: median < 6). Accuracy and reliability of the questionnaire were analyzed with the Confirmatory Factor Analysis and the Cronbach's alpha. RESULTS The initial version of the instrument (98 items) was adapted during stages 1 to 3 for the final version with 40 items, which were considered relevant, of adequate content, useful, and viable. The instrument has 2 dimensions and 9 subdimensions, and the items have closed-ended questions (yes or no). The software for the automatic collection and analysis generates indicators, tables, and automatic graphs for the assessed institution and aggregated data. The adjustment indices confirmed a bi-dimensional model composed of structure and process (X2/gl = 1.070, RMSEA ≤ 0.05 = 0.847, TLI = 0.972), with high reliability for the AGRASS Questionnaire (α = 0.94) and process dimension (α = 0.93), and adequate for the structural dimension (α = 0.70). CONCLUSIONS The AGRASS Questionnaire is a potentially useful instrument for the surveillance and monitoring of the risk management and patient safety in health services.