Data of Safety Attitudes in General Practitioner Trainees

Description

This study aimed to investigate the safety attitudes of general practice (GP) trainees. Quantitative data were analysed using SPSS, whilst qualitative data were analysed using NVivo. Qunatitative Analysis: Data analysis was conducted to examine the effects of demographic factors on safety attitudes. These relationships were measured using ANOVA and the Independent Sample T-test. Question 11 was administered only to participants who responded with 'Strongly Agree' or 'Agree a little' to Question 10. Responses to Question 10 were divided into 'Positive' and 'Negative' groups, and the impact of regular operational meetings on safety attitudes was analysed using a T-test. Qualitative Analysis: Additionally, open-ended questions were employed to identify the safety-related concerns faced by GP Trainees and their needs regarding current practices. Data collection was conducted via a questionnaire comprising 34 items on a 5-point Likert scale and 8 open-ended questions.

Steps to reproduce

1. Quantitative Data File The quantitative data file (Quantitative Raw Data_Safety attitudes in GP Trainees.xlsx) contains responses to demographic items and the results of the 34-item safety attitudes questionnaire. This file represents raw data, meaning that responses to demographic items have not been grouped. 2. Qualitative Data File The qualitative data file (Qualitative Raw Data_Safety attitudes in GP Trainees.xlsx) contains responses to the eight open-ended questions included in the questionnaire. The dataset has been organised into seven sheets, each corresponding to a specific theme. The sheet titles include the theme names and the related questionnaire questions. The data provided is raw, with no corrections made to typographical errors. 3. Codebook File The fourth file (Qualitative Data_ Codebook.xlsx) is a codebook for the qualitative data, organised by theme. It includes the theme name, questionnaire question, code name, description, number of each code, and number of responses. The description provides insight into the criteria used for coding.

Institutions

• University of Limerick

  Munster, Limerick

Categories

Licence