Suppr超能文献

有和没有临床专科医疗助理(CSMA)的实践中 2 型糖尿病患者的慢性护理质量 - 来自瑞士的一项横断面研究。

Quality of chronic care for patients with type 2 diabetes in practices with and without a Clinical Specialized Medical Assistant (CSMA) - a cross-sectional study from Switzerland.

机构信息

Institute of Primary Health Care Bern (BIHAM), University of Bern, Bern, Switzerland.

Ärztegesellschaft des Kantons Bern (Medical Society of the Canton of Bern, BEKAG), Bern, Switzerland.

出版信息

Swiss Med Wkly. 2022 Jun 22;152:w30180. doi: 10.4414/smw.2022.w30180. eCollection 2022 Jun 20.

Abstract

BACKGROUND

Due to Switzerland's shortage of general practitioners (GPs), task shifting through interprofessional collaboration is needed to relieve GPs' workload and allow the continued provision of quality care. The profession of specialized medical assistant (SMA) was created in Switzerland several years ago to provide a career advancement opportunity for medical practice assistants (MPAs) and intended to counteract the increasing scarcity of resources in primary care. Clinical specialized medical assistants (CSMAs) are trained to care for a set of chronic conditions, such as diabetes.

OBJECTIVE

We aimed to compare the quality of care for patients with type 2 diabetes in practices with and without CSMAs. Further, we aimed to investigate whether evidence exists that CSMA care models may allow for task shifting and the provision of interprofessional care while maintaining a high quality of care and to assess patient experiences with diabetes care in both care models.

METHODS

The present study was a paper-based cross-sectional survey of patient data. A total of 171 patients with type 2 diabetes who had been under the care of either a GP with CSMA (91 patients) or a GP without CSMA (80 patients) for at least one year were consecutively recruited for the study. Data were collected from mid-September 2020 to mid-June 2021. For the statistical analyses, we used descriptive statistics and t-tests.

RESULTS

Patients from both practice types were comparable in age, gender and diabetes-relevant factors such as Body Mass Index, smoking status and blood pressure. Overall, patients in both models received a high quality of care (Diabetes Treatment Satisfaction Questionnaire, DTSQ >32/36 points, SGED >75 points) and a low treatment burden (Treatment Burden Questionnaire, TBQ <20/150 points). When comparing patients' DTSQ, SGED and TBQ in both groups, we found no significant differences in diabetes-specific satisfaction (32.1 [SD 3.6] vs. 32.4 [SD 3.8], p = 0.7), SGED score (80.2 [SD 8.5] vs. 75.9 [SD 4.8], p = 0.18) or treatment burden (19.2 [SD 15.6] vs. 18.8 [SD 21.4], p = 0.89).

CONCLUSION

Our comparison of patient-reported outcomes and SGED criteria of patients with type 2 diabetes in practices with and without CSMAs showed an equally high quality of care and a low treatment burden. More research is needed on the long-term effects and benefits of the care provided by CSMAs and which other tasks could be shifted to CSMAs to reduce the burden on GPs in the future. At the same time, an increasing number of patients with type 2 diabetes will require high-quality primary care.

摘要

背景

由于瑞士全科医生(GP)短缺,需要通过跨专业合作来实现任务转移,以减轻 GP 的工作量并确保继续提供高质量的护理。专业化医疗助理(SMA)这一职业在瑞士几年前就已设立,旨在为医疗助理(MPA)提供职业发展机会,并旨在应对初级保健资源日益短缺的问题。临床专业化医疗助理(CSMA)接受培训,可护理一系列慢性疾病,如糖尿病。

目的

我们旨在比较有和没有 CSMA 的诊所中 2 型糖尿病患者的护理质量。此外,我们旨在研究 CSMA 护理模式是否存在证据可以实现任务转移和提供跨专业护理,同时保持高质量的护理,并评估两种护理模式下患者对糖尿病护理的体验。

方法

本研究是一项基于纸质的患者数据横断面调查。共有 171 名至少接受过有 CSMA 的 GP(91 名患者)或没有 CSMA 的 GP(80 名患者)护理至少一年的 2 型糖尿病患者连续入组。数据收集于 2020 年 9 月中旬至 2021 年 6 月中旬。对于统计分析,我们使用描述性统计和 t 检验。

结果

两种治疗模式的患者在年龄、性别和糖尿病相关因素(如体重指数、吸烟状况和血压)方面均无差异。总体而言,两种模式下的患者均接受了高质量的护理(糖尿病治疗满意度问卷,DTSQ>32/36 分,SGED>75 分)和低治疗负担(治疗负担问卷,TBQ<20/150 分)。在比较两组患者的 DTSQ、SGED 和 TBQ 时,我们发现糖尿病特异性满意度(32.1[SD 3.6]与 32.4[SD 3.8],p=0.7)、SGED 评分(80.2[SD 8.5]与 75.9[SD 4.8],p=0.18)或治疗负担(19.2[SD 15.6]与 18.8[SD 21.4],p=0.89)方面无显著差异。

结论

我们对有和没有 CSMA 的诊所中 2 型糖尿病患者的患者报告结果和 SGED 标准进行了比较,结果显示护理质量同样高,治疗负担低。需要进一步研究 CSMA 提供的护理的长期效果和益处,以及未来可以将哪些其他任务转移给 CSMA 以减轻 GP 的负担。同时,越来越多的 2 型糖尿病患者将需要高质量的初级保健。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验