Influence of Information-Based Continuous Care on Disease Control and Treatment Compliance of Elderly Diabetic Patients

Liu, Jiao; Shi, Xiaomao; Guo, Bin

doi:10.1155/2022/4023123

Cited by 1 publication

(1 citation statement)

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“…Likewise, a study on the influence of information-based continuous care on disease control and treatment compliance of Chinese elderly diabetic patients reveals that information-based continuous care yields favorable effects on disease control and treatment compliance among elderly diabetic patients. It can assist in managing blood sugar levels and optimizing patients’ self-management capabilities, holding significant clinical value for broader implementation [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform

Peng,

Duan,

Hou

et al. 2024

BMC Health Serv Res

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Background This study aimed to assess the knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform. Methods This web-based cross-sectional study was conducted between May 2023 and June 2023 at the First Hospital of Zhangjiakou, China. A self-designed questionnaire was developed to collect demographic information of medical workers, and assess their knowledge, attitudes and practices toward outpatient diabetes information platform. Results A total of 685 questionnaires were collected. Among the participants, 603 (88.03%) were female, 432 (63.07%) work in a tertiary hospital, 548 (80.00%) have a bachelor degree, 270 (39.42%) of them work in the department of internal medicine and 315 (45.99%) of them received previous training on outpatient diabetes information platform. The mean knowledge, attitudes and practices scores were 4.32 ± 1.27 (possible range: 0–6), 56.76 ± 5.72 (possible range: 14–70), and 32.22 ± 8.42 (possible range: 9–45), respectively. 350 (51.09%) of them have sufficient knowledge, 168 (24.53%) have positive attitudes and 395 (57.66%) have active practices. Pearson correlation analysis showed that knowledge was positively correlated with attitudes (r = 0.397, P < 0.001), and attitudes were positively correlated with practices (r = 0.306, P < 0.001). Multivariate analysis showed that primary hospital (OR = 0.32, 95% CI: 0.14–0.71, P = 0.005), secondary hospital (OR = 0.48, 95% CI: 0.32–0.72, P < 0.001), doctor (OR = 2.44, 95% CI: 1.39–4.28, P = 0.002) were independently associated with sufficient knowledge. Knowledge (OR = 1.49, 95% CI: 1.29–1.73, P < 0.001), community hospital staff (OR = 0.21, 95% CI: 0.05–0.88, P = 0.032) were independently associated with positive attitudes. Attitudes (OR = 1.13, 95% CI: 1.09–1.17, P < 0.001), junior college (OR = 1.72, 95% CI: 1.07–2.77, P = 0.026) were independently associated with active practices. The structural equation model demonstrated that knowledge had a direct effect on attitudes (path coefficient = 0.521, P < 0.001), and attitudes had a direct effect on practices (path coefficient = 0.542, P < 0.001). Moreover, the type of hospital had a direct effect on knowledge (path coefficient = 0.085, P < 0.001). Additionally, previous training on the outpatient diabetes platform had direct effects on attitudes (path coefficient = 0.191, P < 0.001) and practices (path coefficient = 0.184, P < 0.001). Conclusion These findings revealed that medical workers have insufficient knowledge, positive attitudes and inactive practices toward the outpatient diabetes information platform. Comprehensive training programs are needed to improve medical staff’s practices in this area.

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Section: Introductionmentioning

confidence: 99%