Mini-Z validation for burnout and stress evaluation: an observational study.

IF 1 4区 医学 Q4 PSYCHIATRY Rivista di psichiatria Pub Date : 2024-03-01 DOI:10.1708/4259.42359
David Shaholli, Chiara Bellenzier, Corrado Colaprico, Francesca Vezza, Giovanna Carluccio, Luca Moretti, Maria Vittoria Manai, Vanessa India Barletta, Alice Mannocci, Giuseppe La Torre
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Abstract

Background: The Mini-Z is a questionnaire created to evaluate the levels of burnout in healthcare workers. It consists of 10 items rated using a 5-point Likert scale and one open question. It explores three outcomes (burnout, stress and satisfaction) and seven drivers of burnout (work control, work chaos, teamwork, values alignment with leadership, documentation time pressure, EMR use at home, and EMR proficiency). The aim of this study is to validate the Italian version of the Mini-Z, comparing it with the other most used scales.

Materials and methods: We recruited a sample of 120 healthcare professionals and administered all three questionnaires to each of them, after which we compared the answers and the scores of the results. A cross-sectional study among healthcare workers was conducted from May to July 2022. An online questionnaire was sent, by e-mail, to 120 healthcare workers (60.8% male, 39.2% female), aged between 18 and 60 years old (26.8% between 25 and 38 years old). They were invited to answer to an anonymous survey, consisting of three assessment instruments: Copenhagen Burnout Inventory (CBI), Maslach Burnout Inventory (MBI) and Mini-Z Inventory 2.0. The Mini-Z 2.0 is a new and easier tool to assess burnout syndrome, actually validated only in English. It was translated into Italian by reverse translation. Cronbach's Alpha coefficient, a statistical index, was used to assess its reliability. The last phase of the study compared the Mini-Z, the CBI and the MBI, by means of Pearson's coefficient, to highlight the Mini-Z's ability to be used for Burnout assessment.

Results: The analysis of the results showed that 18.3% of the interviewed healthcare professionals scored equal (2.5%) or higher (15.8%) than 40. The average percentage value was 33.35%, with a standard deviation of 6.3%. This emphasises, therefore, that this portion of employees is more or less satisfied with their working environment. The remaining portion of employees, on the other hand, 81.7%, scored below 40, emphasising an unpleasant and unjoyful working environment.

Discussion and conclusions: Burnout is very common among employees and especially among healthcare workers and a routine assessment seems to be necessary to be able to prevent the syndrome. The Italian version of the Mini-Z includes ten items, is more user-friendly and aims to assess not only Burnout subscales, as in the previous tests, but also well-being factors and has applied a rigorous approach, including forward translation, back translation and cognitive debriefing.

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职业倦怠和压力评估的 Mini-Z 验证:一项观察研究。
背景:Mini-Z 是一份用于评估医护人员职业倦怠程度的问卷。它由 10 个项目和一个开放性问题组成,项目采用 5 点李克特量表评分。它探讨了三种结果(职业倦怠、压力和满意度)和七种职业倦怠的驱动因素(工作控制、工作混乱、团队合作、与领导的价值观一致、记录时间压力、在家使用电子病历和电子病历熟练程度)。本研究的目的是验证意大利语版的 Mini-Z 量表,并将其与其他最常用的量表进行比较:我们招募了 120 名医疗保健专业人员作为样本,向他们每人发放了三份问卷,然后比较了答案和结果得分。我们于 2022 年 5 月至 7 月在医护人员中开展了一项横断面研究。我们通过电子邮件向 120 名医护人员(60.8% 为男性,39.2% 为女性)发送了在线问卷,他们的年龄在 18 岁至 60 岁之间(26.8% 在 25 岁至 38 岁之间)。他们应邀回答了由三种评估工具组成的匿名调查:哥本哈根职业倦怠量表(CBI)、马斯拉奇职业倦怠量表(MBI)和迷你 Z 量表 2.0。Mini-Z 2.0 是一种新的、更易于评估职业倦怠综合症的工具,实际上只在英语中得到了验证。它通过反向翻译被翻译成意大利语。Cronbach's Alpha 系数(一种统计指标)用于评估其可靠性。研究的最后阶段通过皮尔逊系数对 Mini-Z、CBI 和 MBI 进行了比较,以突出 Mini-Z 用于倦怠评估的能力:分析结果显示,18.3%的受访医护人员的得分等于(2.5%)或高于(15.8%)40 分。平均百分比值为 33.35%,标准偏差为 6.3%。因此,这部分员工对工作环境的满意度较高或较低。而其余 81.7% 的员工得分在 40 分以下,这说明他们的工作环境并不愉快:讨论与结论:职业倦怠在员工中非常常见,尤其是在医疗工作者中。意大利语版的 Mini-Z 包括十个项目,更加方便用户使用,其目的不仅是评估倦怠的分量表,就像以前的测试一样,还包括幸福感因素,并采用了严格的方法,包括正译、反译和认知汇报。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Rivista di psichiatria
Rivista di psichiatria 医学-精神病学
CiteScore
5.00
自引率
3.70%
发文量
31
审稿时长
6-12 weeks
期刊介绍: Gli interessi della rivista riguardano l’approfondimento delle interazioni tra mente e malattia, la validazione e la discussione dei nuovi strumenti e parametri di classificazione diagnostica, la verifica delle prospettive terapeutiche farmacologiche e non.
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