Autor: |
WANG Lingxiao, DONG Rongna, ZHOU Bing, GUO Lina, LI Jing |
Jazyk: |
čínština |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Zhongguo quanke yixue, Vol 26, Iss 15, Pp 1817-1823 (2023) |
Druh dokumentu: |
article |
ISSN: |
1007-9572 |
DOI: |
10.12114/j.issn.1007-9572.2022.0784 |
Popis: |
Background Early intervention of blood glucose control in patients with new-onset type 2 diabetes mellitus (T2DM) can help delay the progression of diabetes. As a new form of health management, the effect of human-computer interaction intelligent blood glucose monitoring management on the progression of new-onset T2DM patients has not been clarified. Objective To explore the effect of human-computer interaction intelligent management on blood glucose control and self management capability in new-onset T2DM patients, so as to provide the reference for optimizing the control strategy in new-onset T2DM patients. Methods From June 2016 to December 2016, 200 patients with new-onset T2DM admitted to the Tianjin Medical University, Chu Hsien-I Memorial Hospital were selected by convenient sampling and randomly divided into the control group (n=100) and the monitoring group (n=100). The interventions in the monitoring group were the same as those in the control group except for the human-computer interaction intelligent monitoring. Blood glucose indexes〔fasting blood glucose (FBG), 2 h postprandial glucose (2 hPG) and glycated hemoglobin (HbA1c) 〕and self-management capability indexes〔diabetes management self-efficacy scale (DMSES), summary of diabetes self-care activities (SDSCA), diabetes self-care scale (2-DSCS) 〕were recorded at the time of enrollment and after 3 months of follow-up in the two groups. Results After 3 months of follow-up, the monitoring group included 95 cases, the control group included 97 cases. Compared with the pre-intervention period, FBG, 2 hPG and HbA1c levels decreased in both groups after the intervention (P |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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