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Published in: BMC Health Services Research 1/2024

Open Access 01-12-2024 | Research

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

Authors: Yi Peng, Jianying Duan, Jian Hou, Nan Xu, Jiaming Wu, Xijing Bao, Qian Yao, Yang Li

Published in: BMC Health Services Research | Issue 1/2024

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Abstract

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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Literature
1.
go back to reference Pasquel FJ, Lansang MC, Dhatariya K, Umpierrez GE. Management of diabetes and hyperglycaemia in the hospital. Lancet Diabetes Endocrinol. 2021;9(3):174–88.CrossRefPubMedCentralPubMed Pasquel FJ, Lansang MC, Dhatariya K, Umpierrez GE. Management of diabetes and hyperglycaemia in the hospital. Lancet Diabetes Endocrinol. 2021;9(3):174–88.CrossRefPubMedCentralPubMed
2.
go back to reference 2. Classification and diagnosis of diabetes: standards of Medical Care in Diabetes-2021. Diabetes Care. 2021;44(Suppl 1):15–s33. 2. Classification and diagnosis of diabetes: standards of Medical Care in Diabetes-2021. Diabetes Care. 2021;44(Suppl 1):15–s33.
3.
go back to reference Liu J, Liu M, Chai Z, Li C, Wang Y, Shen M, Zhuang G, Zhang L. Projected rapid growth in diabetes disease burden and economic burden in China: a spatio-temporal study from 2020 to 2030. Lancet Reg Health Western Pac. 2023;33:100700.CrossRef Liu J, Liu M, Chai Z, Li C, Wang Y, Shen M, Zhuang G, Zhang L. Projected rapid growth in diabetes disease burden and economic burden in China: a spatio-temporal study from 2020 to 2030. Lancet Reg Health Western Pac. 2023;33:100700.CrossRef
5.
go back to reference Demir S, Nawroth PP, Herzig S, Ekim Üstünel B. Emerging targets in type 2 diabetes and diabetic complications. Advanced science (Weinheim. Baden-Wurttemberg Germany). 2021;8(18):e2100275. Demir S, Nawroth PP, Herzig S, Ekim Üstünel B. Emerging targets in type 2 diabetes and diabetic complications. Advanced science (Weinheim. Baden-Wurttemberg Germany). 2021;8(18):e2100275.
6.
go back to reference Selvarajah D, Kar D, Khunti K, Davies MJ, Scott AR, Walker J, Tesfaye S. Diabetic peripheral neuropathy: advances in diagnosis and strategies for screening and early intervention. Lancet Diabetes Endocrinol. 2019;7(12):938–48.CrossRefPubMed Selvarajah D, Kar D, Khunti K, Davies MJ, Scott AR, Walker J, Tesfaye S. Diabetic peripheral neuropathy: advances in diagnosis and strategies for screening and early intervention. Lancet Diabetes Endocrinol. 2019;7(12):938–48.CrossRefPubMed
7.
9.
go back to reference Dehnavi Z, Ayatollahi H, Hemmat M, Abbasi R. Health information technology and diabetes management: a review of motivational and inhibitory factors. Curr Diabetes Rev. 2021;17(3):268–79.CrossRefPubMed Dehnavi Z, Ayatollahi H, Hemmat M, Abbasi R. Health information technology and diabetes management: a review of motivational and inhibitory factors. Curr Diabetes Rev. 2021;17(3):268–79.CrossRefPubMed
10.
go back to reference Yang Y, Lee EY, Kim HS, Lee SH, Yoon KH, Cho JH. Effect of a mobile phone-based glucose-monitoring and feedback system for type 2 diabetes management in multiple primary care clinic settings: cluster randomized controlled trial. JMIR mHealth uHealth. 2020;8(2):e16266.CrossRefPubMedCentralPubMed Yang Y, Lee EY, Kim HS, Lee SH, Yoon KH, Cho JH. Effect of a mobile phone-based glucose-monitoring and feedback system for type 2 diabetes management in multiple primary care clinic settings: cluster randomized controlled trial. JMIR mHealth uHealth. 2020;8(2):e16266.CrossRefPubMedCentralPubMed
11.
go back to reference 7. Diabetes technology: standards of medical care in diabetes-2020. Diabetes Care. 2020;43(Suppl 1):77–s88. 7. Diabetes technology: standards of medical care in diabetes-2020. Diabetes Care. 2020;43(Suppl 1):77–s88.
12.
go back to reference Hilmarsdóttir E, Sigurðardóttir ÁK, Arnardóttir RH. A digital lifestyle program in outpatient treatment of type 2 diabetes: a randomized controlled study. J Diabetes Sci Technol. 2021;15(5):1134–41.CrossRefPubMed Hilmarsdóttir E, Sigurðardóttir ÁK, Arnardóttir RH. A digital lifestyle program in outpatient treatment of type 2 diabetes: a randomized controlled study. J Diabetes Sci Technol. 2021;15(5):1134–41.CrossRefPubMed
13.
go back to reference Johnson EL, Miller E. Remote patient monitoring in diabetes: how to acquire, manage, and use all of the data. Diabetes Spectrum: Publication Am Diabetes Assoc. 2022;35(1):43–56.CrossRef Johnson EL, Miller E. Remote patient monitoring in diabetes: how to acquire, manage, and use all of the data. Diabetes Spectrum: Publication Am Diabetes Assoc. 2022;35(1):43–56.CrossRef
14.
go back to reference Lahiri SW. Personalizing type 2 diabetes management: use of a patient-centered approach to individualizing A1C goals and pharmacological regimens. Clin Diabetes: Publication Am Diabetes Assoc. 2017;35(5):321–8.CrossRef Lahiri SW. Personalizing type 2 diabetes management: use of a patient-centered approach to individualizing A1C goals and pharmacological regimens. Clin Diabetes: Publication Am Diabetes Assoc. 2017;35(5):321–8.CrossRef
15.
go back to reference Huo X, Krumholz HM, Bai X, Spatz ES, Ding Q, Horak P, Zhao W, Gong Q, Zhang H, Yan X, et al. Effects of mobile text messaging on glycemic control in patients with coronary heart disease and diabetes mellitus: a randomized clinical trial. Circ Cardiovasc Qual Outcomes. 2019;12(9):e005805.CrossRefPubMed Huo X, Krumholz HM, Bai X, Spatz ES, Ding Q, Horak P, Zhao W, Gong Q, Zhang H, Yan X, et al. Effects of mobile text messaging on glycemic control in patients with coronary heart disease and diabetes mellitus: a randomized clinical trial. Circ Cardiovasc Qual Outcomes. 2019;12(9):e005805.CrossRefPubMed
16.
go back to reference Liu J, Shi X, Guo B. Influence of information-based continuous care on disease control and treatment compliance of elderly diabetic patients. Evid Based Complement Alternat Med. 2022;2022:4023123.CrossRefPubMedCentralPubMed Liu J, Shi X, Guo B. Influence of information-based continuous care on disease control and treatment compliance of elderly diabetic patients. Evid Based Complement Alternat Med. 2022;2022:4023123.CrossRefPubMedCentralPubMed
18.
go back to reference Ammar N, Bailey JE, Davis RL, Shaban-Nejad A. Using a personal health library-enabled mhealth recommender system for self-management of diabetes among underserved populations: use case for knowledge graphs and linked data. JMIR Form Res. 2021;5(3):e24738.CrossRefPubMedCentralPubMed Ammar N, Bailey JE, Davis RL, Shaban-Nejad A. Using a personal health library-enabled mhealth recommender system for self-management of diabetes among underserved populations: use case for knowledge graphs and linked data. JMIR Form Res. 2021;5(3):e24738.CrossRefPubMedCentralPubMed
19.
go back to reference Gu Y, Hsu HT, Zhu J, Zheng X, Jiang H, Fan H, Yang T. A systematic survey on the diagnosis strategy and patient management of type 1 diabetes by Chinese physicians. Sci China Life Sci. 2018;61(3):318–27.ADSCrossRefPubMed Gu Y, Hsu HT, Zhu J, Zheng X, Jiang H, Fan H, Yang T. A systematic survey on the diagnosis strategy and patient management of type 1 diabetes by Chinese physicians. Sci China Life Sci. 2018;61(3):318–27.ADSCrossRefPubMed
20.
go back to reference Zhang Y, Li X, Luo S, Liu C, Xie Y, Guo J, Liu F, Zhou Z. Use, perspectives, and attitudes regarding diabetes management mobile apps among diabetes patients and diabetologists in China: national web-based survey. JMIR Mhealth Uhealth. 2019;7(2):e12658.CrossRefPubMedCentralPubMed Zhang Y, Li X, Luo S, Liu C, Xie Y, Guo J, Liu F, Zhou Z. Use, perspectives, and attitudes regarding diabetes management mobile apps among diabetes patients and diabetologists in China: national web-based survey. JMIR Mhealth Uhealth. 2019;7(2):e12658.CrossRefPubMedCentralPubMed
21.
go back to reference Wang H, Sun Q, Gu L, Lai K, He L. Diversity in people’s reluctance to use medical artificial intelligence: identifying subgroups through latent profile analysis. Front Artif Intell. 2022;5:1006173.CrossRefPubMedCentralPubMed Wang H, Sun Q, Gu L, Lai K, He L. Diversity in people’s reluctance to use medical artificial intelligence: identifying subgroups through latent profile analysis. Front Artif Intell. 2022;5:1006173.CrossRefPubMedCentralPubMed
22.
go back to reference Al-Hanawi MK, Angawi K, Alshareef N, Qattan AMN, Helmy HZ, Abudawood Y, Alqurashi M, Kattan WM, Kadasah NA, Chirwa GC, et al. Knowledge, attitude and practice toward COVID-19 among the Public in the Kingdom of Saudi Arabia: a cross-sectional study. Front Public Health. 2020;8:217.CrossRefPubMedCentralPubMed Al-Hanawi MK, Angawi K, Alshareef N, Qattan AMN, Helmy HZ, Abudawood Y, Alqurashi M, Kattan WM, Kadasah NA, Chirwa GC, et al. Knowledge, attitude and practice toward COVID-19 among the Public in the Kingdom of Saudi Arabia: a cross-sectional study. Front Public Health. 2020;8:217.CrossRefPubMedCentralPubMed
23.
go back to reference Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, et al. American Association of Clinical Endocrinology Clinical Practice Guideline: developing a diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract. 2022;28(10):923–1049.CrossRefPubMedCentralPubMed Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, et al. American Association of Clinical Endocrinology Clinical Practice Guideline: developing a diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract. 2022;28(10):923–1049.CrossRefPubMedCentralPubMed
24.
go back to reference Marx N, Davies MJ, Grant PJ, Mathieu C, Petrie JR, Cosentino F, Buse JB. Guideline recommendations and the positioning of newer drugs in type 2 diabetes care. Lancet Diabetes Endocrinol. 2021;9(1):46–52.CrossRefPubMed Marx N, Davies MJ, Grant PJ, Mathieu C, Petrie JR, Cosentino F, Buse JB. Guideline recommendations and the positioning of newer drugs in type 2 diabetes care. Lancet Diabetes Endocrinol. 2021;9(1):46–52.CrossRefPubMed
25.
go back to reference Eyskens JB, Illegems J, De Nil L, Nijs J, Kampen JK, Moorkens G. Assessing chronic fatigue syndrome: self-reported physical functioning and correlations with physical testing. J Bodyw Mov Ther. 2019;23(3):598–603.CrossRefPubMed Eyskens JB, Illegems J, De Nil L, Nijs J, Kampen JK, Moorkens G. Assessing chronic fatigue syndrome: self-reported physical functioning and correlations with physical testing. J Bodyw Mov Ther. 2019;23(3):598–603.CrossRefPubMed
26.
go back to reference Guo H, Yu Y, Ye Y, Zhou S. Accuracy of self-reported hypertension, diabetes, and hyperlipidemia among adults of Liwan, Guangzhou, China. Iran J Public Health. 2020;49(9):1622–30.PubMedCentralPubMed Guo H, Yu Y, Ye Y, Zhou S. Accuracy of self-reported hypertension, diabetes, and hyperlipidemia among adults of Liwan, Guangzhou, China. Iran J Public Health. 2020;49(9):1622–30.PubMedCentralPubMed
27.
go back to reference Wubante SM, Tegegne MD, Melaku MS, Mengiste ND, Fentahun A, Zemene W, Fikadie M, Musie B, Keleb D, Bewoketu H, et al. Healthcare professionals’ knowledge, attitude and its associated factors toward electronic personal health record system in a resource-limited setting: a cross-sectional study. Front Public Health. 2023;11:1114456.CrossRefPubMedCentralPubMed Wubante SM, Tegegne MD, Melaku MS, Mengiste ND, Fentahun A, Zemene W, Fikadie M, Musie B, Keleb D, Bewoketu H, et al. Healthcare professionals’ knowledge, attitude and its associated factors toward electronic personal health record system in a resource-limited setting: a cross-sectional study. Front Public Health. 2023;11:1114456.CrossRefPubMedCentralPubMed
28.
go back to reference Kumar S. Burnout and doctors: prevalence, prevention and intervention. Healthc (Basel Switzerland). 2016;4(3):37. Kumar S. Burnout and doctors: prevalence, prevention and intervention. Healthc (Basel Switzerland). 2016;4(3):37.
29.
go back to reference Mazurowski MA. Artificial intelligence in radiology: some ethical considerations for radiologists and algorithm developers. Acad Radiol. 2020;27(1):127–9.CrossRefPubMed Mazurowski MA. Artificial intelligence in radiology: some ethical considerations for radiologists and algorithm developers. Acad Radiol. 2020;27(1):127–9.CrossRefPubMed
30.
go back to reference Liu H, Hou H, Yang M, Hou Y, Shan Z, Cao Y. The role of primary physician training in improving regional standardized management of diabetes: a pre-post intervention study. BMC Prim care. 2022;23(1):51.CrossRefPubMedCentralPubMed Liu H, Hou H, Yang M, Hou Y, Shan Z, Cao Y. The role of primary physician training in improving regional standardized management of diabetes: a pre-post intervention study. BMC Prim care. 2022;23(1):51.CrossRefPubMedCentralPubMed
31.
go back to reference Newman K, Pyne T, Cowling A. Junior doctors and management: myth and reality. Health Manpow Manage. 1996;22(1):32–8.CrossRefPubMed Newman K, Pyne T, Cowling A. Junior doctors and management: myth and reality. Health Manpow Manage. 1996;22(1):32–8.CrossRefPubMed
32.
go back to reference Casey M. New age app doctors. World Hosp Health Serv. 2013;49(3):23. Casey M. New age app doctors. World Hosp Health Serv. 2013;49(3):23.
33.
go back to reference Bullock A, Dimond R, Webb K, Lovatt J, Hardyman W, Stacey M. How a mobile app supports the learning and practice of newly qualified doctors in the UK: an intervention study. BMC Med Educ. 2015;15(1):1–6.CrossRef Bullock A, Dimond R, Webb K, Lovatt J, Hardyman W, Stacey M. How a mobile app supports the learning and practice of newly qualified doctors in the UK: an intervention study. BMC Med Educ. 2015;15(1):1–6.CrossRef
Metadata
Title
Knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform
Authors
Yi Peng
Jianying Duan
Jian Hou
Nan Xu
Jiaming Wu
Xijing Bao
Qian Yao
Yang Li
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2024
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-024-10711-y

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