Improving in-hospital diabetes awareness and transition of care by a digitalized diabetes management.

IF 2.9 3区医学 Q2 ENDOCRINOLOGY & METABOLISM

Endocrine Pub Date : 2025-07-28 DOI:10.1007/s12020-025-04368-8

Lukas van Baal, Johanna Reinold, Dagmar Fuhrer

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引用次数: 0

Abstract

Purpose: Diabetes as common comorbidity is associated with an impaired outcome for inpatients. Inadequate transition of dysglycemia specific information from hospital to outpatient setting may disrupt continuity of care and contribute to impaired patient outcome. We tested whether a digitalized diabetes management improves awareness of in-hospital health care professionals for diabetes as comorbidity.

Methods: SmartDiabetesCare, a digitalized diabetes management, was carried out prospectively on five non-ICU wards as a quality improvement project (QiP SDC) including systematic screening for dysglycemia at admission, flagging of identified cases, continuous glucose monitoring and a proactive diabetes-team. Chance for correctly documented dysglycemia specific information in discharge letters written during QiP SDC in comparison to usual diabetes care (UDC) was calculated and performance was assessed to evaluate the impact of QiP SDC on quality of diabetes-specific transition.

Results: Discharge letters of 1141 cases were included in the analysis. Comparing QiP SDC to UDC, the odds ratio for complete correct transition of diabetes-specific information was 2.80 (95%CI: 1.48-5.29) in QiP SDC vs UDC. Accordingly, the performance score was significantly higher in QiP SDC (1.79 vs. 1.23, p < 0.01). If only patients with newly diagnosed dysglycemia were analyzed, OR for correct documentation increased to 9.22 (95%CI: 4.01-18.80) and performance score remained significantly higher in QiP SDC, but decreased compared to the overall population (0.60 vs. 0.16, p < 0.01).

Conclusions: A digitalized diabetes management may raise awareness for diabetes in in-hospital health care professionals and improve quality of diabetes data transition potentially increasing the chance for continuity of care.

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数字化糖尿病管理提高医院糖尿病意识和护理转型。

目的：糖尿病作为常见的合并症与住院患者的预后受损相关。血糖异常特异性信息从医院到门诊的不充分传递可能会破坏护理的连续性，并导致患者预后受损。我们测试了数字化糖尿病管理是否提高了医院医疗保健专业人员对糖尿病合并症的认识。方法：作为一项质量改进项目（QiP SDC），在5个非icu病房前瞻性地开展了数字化糖尿病管理SmartDiabetesCare，包括入院时对血糖异常进行系统筛查、对确诊病例进行标记、持续血糖监测和积极的糖尿病小组。与常规糖尿病护理（UDC）相比，计算QiP SDC期间写的出院信中正确记录血糖异常信息的机会，并评估其表现，以评估QiP SDC对糖尿病特异性转变质量的影响。结果：共纳入出院信1141例。将QiP SDC与UDC进行比较，QiP SDC与UDC完全正确转换糖尿病特异性信息的优势比为2.80 （95%CI: 1.48-5.29）。因此，QiP SDC的绩效得分明显更高（1.79 vs. 1.23, p）。结论：数字化糖尿病管理可以提高医院卫生保健专业人员对糖尿病的认识，改善糖尿病数据转换的质量，潜在地增加护理的连续性。

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

Endocrine ENDOCRINOLOGY & METABOLISM-

CiteScore

6.50

自引率

5.40%

发文量

295

审稿时长

1.5 months

期刊介绍： Well-established as a major journal in today’s rapidly advancing experimental and clinical research areas, Endocrine publishes original articles devoted to basic (including molecular, cellular and physiological studies), translational and clinical research in all the different fields of endocrinology and metabolism. Articles will be accepted based on peer-reviews, priority, and editorial decision. Invited reviews, mini-reviews and viewpoints on relevant pathophysiological and clinical topics, as well as Editorials on articles appearing in the Journal, are published. Unsolicited Editorials will be evaluated by the editorial team. Outcomes of scientific meetings, as well as guidelines and position statements, may be submitted. The Journal also considers special feature articles in the field of endocrine genetics and epigenetics, as well as articles devoted to novel methods and techniques in endocrinology. Endocrine covers controversial, clinical endocrine issues. Meta-analyses on endocrine and metabolic topics are also accepted. Descriptions of single clinical cases and/or small patients studies are not published unless of exceptional interest. However, reports of novel imaging studies and endocrine side effects in single patients may be considered. Research letters and letters to the editor related or unrelated to recently published articles can be submitted. Endocrine covers leading topics in endocrinology such as neuroendocrinology, pituitary and hypothalamic peptides, thyroid physiological and clinical aspects, bone and mineral metabolism and osteoporosis, obesity, lipid and energy metabolism and food intake control, insulin, Type 1 and Type 2 diabetes, hormones of male and female reproduction, adrenal diseases pediatric and geriatric endocrinology, endocrine hypertension and endocrine oncology.