Patient Safety Climate in Danish Primary Care: Adaption and Validation of the Danish Safety Attitudes Questionnaire (SAQ-DK-PRIM).

IF 3.4 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Clinical Epidemiology Pub Date : 2024-08-27 eCollection Date: 2024-01-01 DOI:10.2147/CLEP.S470111
Marie Haase Juhl, Anne Estrup Olesen, Ellen Tveter Deilkås, Niels Henrik Bruun, Kirsten Høgh Obling, Nikoline Rytter, Maya Damgaard Larsen, Solvejg Kristensen
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引用次数: 0

Abstract

Background: A lack of instruments to assess patient safety climate within primary care exists. The objectives of this study were as follows: 1) To adapt the Danish hospital version of the Safety Attitudes Questionnaire (SAQ-DK) for use in primary care; 2) Test the internal consistency and the construct validity of this version; 3) Present benchmark data; and 4) Analyze variance.

Methods: The SAQ-DK was adapted for use in Danish primary care settings (SAQ-DK-PRIM) and distributed to healthcare staff members from nursing homes (N = 11), homecare units (N = 4) and healthcare units (N = 2), within the municipality of Aarhus, Central Denmark Region, Denmark. Face- and content validity were assessed. The construct validity was evaluated by a set of goodness-of-fit indices. The internal reliability was evaluated using the item-rest correlations, the inter-item correlations, and Cronbach's alpha (α).

Results: The adaptation process resulted in a questionnaire of 10 items. Eight hundred and thirty healthcare staffs participated (78% of the eligible respondents). In total 586 (70.6%) responses were complete and were included in the analysis. Goodness-of-fit indices from the confirmatory factor analysis showed: Chi2=46.90CFI=0.97, RMSEA = 0.063 (90% CI: 0.044-0.084), Probability RMSEA (p close)=0.12. Internal reliability was high (Cronbach's α=0.76). Proportions of participants with a positive attitude was 41.1% and did not differ between the healthcare services. Scale mean score was 70.19 (SD: 18.05) and differed between healthcare services. The safety climate scale scores did not vary according to healthcare service type. ICC was 0.68% indicating no clustering of scores by healthcare service type.

Conclusion: Considering the questionnaire's applicability, short length, strengthened focus on one area of interest and validity, the SAQ-DK-PRIM can serve as a valuable tool for measuring patient safety climate within primary care settings in Denmark.

丹麦基层医疗机构的患者安全氛围:丹麦安全态度问卷(SAQ-DK-PRIM)的改编与验证。
背景:目前缺乏评估基层医疗机构患者安全氛围的工具。本研究的目标如下1)将丹麦医院版的安全态度问卷(SAQ-DK)改编用于基层医疗机构;2)测试该版本的内部一致性和结构效度;3)提供基准数据;4)分析差异:对 SAQ-DK 进行了改编,以便在丹麦初级医疗机构中使用(SAQ-DK-PRIM),并分发给丹麦中部丹麦大区奥胡斯市的疗养院(11 人)、家庭护理单位(4 人)和医疗保健单位(2 人)的医护人员。对表面效度和内容效度进行了评估。通过一组拟合优度指数评估了结构效度。内部信度采用项目间相关性、项目间相关性和克朗巴赫α(α)进行评估:结果:经过改编,问卷共包含 10 个项目。830 名医护人员参与了问卷调查(占合格受访者的 78%)。共有 586 份(70.6%)答卷完整并纳入分析。确认性因素分析的拟合优度指数显示Chi2=46.90CFI=0.97,RMSEA=0.063(90% CI:0.044-0.084),概率 RMSEA(p close)=0.12。内部信度很高(Cronbach's α=0.76)。持积极态度的参与者比例为 41.1%,各医疗服务机构之间无差异。量表平均分为 70.19 分(标准差:18.05),各医疗服务机构之间存在差异。安全气氛量表的得分不因医疗服务类型而异。ICC为0.68%,表明各医疗服务类型的得分没有聚类:考虑到问卷的适用性、简短性、对某一关注领域的强化关注以及有效性,SAQ-DK-PRIM 可作为测量丹麦初级医疗机构中患者安全氛围的重要工具。
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来源期刊
Clinical Epidemiology
Clinical Epidemiology Medicine-Epidemiology
CiteScore
6.30
自引率
5.10%
发文量
169
审稿时长
16 weeks
期刊介绍: Clinical Epidemiology is an international, peer reviewed, open access journal. Clinical Epidemiology focuses on the application of epidemiological principles and questions relating to patients and clinical care in terms of prevention, diagnosis, prognosis, and treatment. Clinical Epidemiology welcomes papers covering these topics in form of original research and systematic reviews. Clinical Epidemiology has a special interest in international electronic medical patient records and other routine health care data, especially as applied to safety of medical interventions, clinical utility of diagnostic procedures, understanding short- and long-term clinical course of diseases, clinical epidemiological and biostatistical methods, and systematic reviews. When considering submission of a paper utilizing publicly-available data, authors should ensure that such studies add significantly to the body of knowledge and that they use appropriate validated methods for identifying health outcomes. The journal has launched special series describing existing data sources for clinical epidemiology, international health care systems and validation studies of algorithms based on databases and registries.
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