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Peng Y, Duan J, Hou J, Xu N, Wu J, Bao X, Yao Q, Li Y. Knowledge, attitudes and practices among medical workers toward outpatient diabetes information platform. BMC Health Serv Res 2024; 24:328. [PMID: 38475848 DOI: 10.1186/s12913-024-10711-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/13/2024] [Indexed: 03/14/2024] Open
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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Affiliation(s)
- Yi Peng
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China.
| | - Jianying Duan
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Jian Hou
- Department of Pharmacology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Nan Xu
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Jiaming Wu
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Xijing Bao
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Qian Yao
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
| | - Yang Li
- Department of Endocrinology, Zhangjiakou First Hospital, Zhangjiakou, 075000, China
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Nooreen Z, Rai AK, Summayya F, Tandon S. An Insight of Naturally Occurring Phytoconstituents and Novel Approaches Towards the Treatment of Diabetes. Curr Diabetes Rev 2024; 20:e290823220456. [PMID: 37644751 DOI: 10.2174/1573399820666230829094724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 06/30/2023] [Accepted: 08/02/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND The rising in diabetes incidents has clearly become one main worldwide health problem. Individuals suffering from diabetes are still more susceptible to many long-term and short-term side effects, which most often cause fatalities. Even though chemically synthesized anti-diabetic entities are capable of helping manage and treat, there has been significant risks related with their prolong and repetitive use. Hence, there is a requirement for safer and novel approaches that might be formed and utilized. OBJECTIVE Aim of the present review is to explain the naturally occurring phytochemicals and novel approach as anti-diabetic agents in the treatment of diabetes and its related issues. METHOD A survey of Google scholar, Research Gate, Pubmed, Science Direct, NCBI database was carried out conducted to determine a most hopeful phytochemicals and novel drug delivery systems in the management of diabetes. RESULT The study stressed the significance of phytomolecules and some novel approaches researched or reported in the literature for the management and cure of diabetes. It is suggested that changes in lifestyle can help patients and like nutritional support, assessment and lifestyle guidance must be individualized based on physical and functional capacity. Further evaluations and improved preventative medicine were the result of improving patient outcomes. CONCLUSION Conventional or synthetic drugs provide relief for short time but nanoformulations of phytomolecules offer an improved therapeutic with fewer negative side effects. Herbal medicines are rich in phytoconstituents and possess variety of health benefits. This review is compilation of phytoconstituents and novel drug delivery system of phytomolecules i.e. nanoparticles, niosomes, microsphere, microparticle and others.
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Affiliation(s)
- Zulfa Nooreen
- PSIT - Pranveer Singh Institute of Technology (Pharmacy) Bhauti, Kanpur Uttar Pradesh 209305, India
| | - Awani Kumar Rai
- PSIT - Pranveer Singh Institute of Technology (Pharmacy) Bhauti, Kanpur Uttar Pradesh 209305, India
| | - Fariha Summayya
- Integral Informatic and Research Center-1 (IIRC-1) Intergral University Lucknow Uttar Pradesh 226026, India
| | - Sudeep Tandon
- CSIR-Central Institute of Medicinal and Aromatic Plants, Lucknow Uttar Pradesh 223021, India
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Mao W, Jiang M, Chen W, Du J, Xiao Q. The effect of using mobile phone applications for intelligent pelvic floor rehabilitation on elderly female patients with stress urinary incontinence. Technol Health Care 2024; 32:229-241. [PMID: 37393449 DOI: 10.3233/thc-220845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2023]
Abstract
BACKGROUND Stress urinary incontinence is prevalent among women and the incidence increases with age. OBJECTIVE To explore the effect of intelligent pelvic floor muscle rehabilitation on elderly female patients with incontinence. METHODS A total of 209 patients with urinary incontinence who were treated with pelvic floor muscle rehabilitation at Peking University International Hospital from September 2020 to January 2022 were selected by convenient sampling. All subjects were divided into the 50-60 year old patient group (n= 51) and over 60 years old patient group according to age (n= 158). The subjects of different age group were divided into an experimental group and a control group. The patients in the control group received routine nursing and health education, and the patients in the observation group received a combination of mobile application use and smart dumbbells. Based on this, we constructed an intervention model for intelligent, continuous pelvic floor rehabilitation. After 7 and 12 weeks, pelvic floor muscle function knowledge and exercise compliance in the two groups were evaluated. The improvement of urinary incontinence symptoms, pelvic floor muscle strength grades and quality-of-life scales were evaluated. RESULTS The results showed that pelvic floor knowledge and exercise compliance in the experimental group were better than in the control group at 7 and 12 weeks after intervention (P< 0.05). There was no significant difference in pelvic floor muscle strength and quality of life between the two groups at 7 weeks after intervention (P> 0.05). However, there was a significant difference in pelvic floor muscle strength and quality of life between the two groups at 12 weeks after intervention (P< 0.05). There was no significant difference between different age groups. CONCLUSION The intelligent pelvic floor rehabilitation model that combines a mobile application with smart dumbbells can maintain and strengthen the clinical treatment effect for elderly patients with urinary incontinence.
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Affiliation(s)
- Wenjuan Mao
- Gynecological Ward of Peking University International Hospital, Beijing, China
| | - Mingzhu Jiang
- Gynecological Ward of Peking University International Hospital, Beijing, China
| | - Wenduo Chen
- Gynecological Ward of Peking University International Hospital, Beijing, China
| | - Juan Du
- Gynecological Ward of Peking University International Hospital, Beijing, China
| | - Qian Xiao
- Nursing School, Capital Medical University, Beijing, China
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He J, Chen J, Li Q, Yang Z, Liang H, Wang L, Sun Z, Zhao H. Application of family-involved smart medication management system in rural-dwelling middle-aged and older adult participants with chronic diseases: Management of chronic diseases in rural areas. Medicine (Baltimore) 2022; 101:e31662. [PMID: 36397443 PMCID: PMC9666174 DOI: 10.1097/md.0000000000031662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Management of patients with chronic diseases in rural areas and the use of medications need to be urgently addressed. Therefore, this study aimed to evaluate the efficacy of a family-involved smart medication management system for rural patients with chronic diseases. Between June and August 2021, 82 patients with chronic diseases were selected using convenience sampling from 2 county towns in Hebei Province, China. They were randomly divided into control (41 participants) and experimental (41 participants) groups. The control group was managed using a routine medication management model for chronic diseases. The experimental group was managed using a family-involved smart medication management system, in addition to the control group interventions. The groups were graded using the 8-item Morisky Medication Adherence Scale (MMAS-8), the Self-efficacy for Appropriate Medication Use Scale (SEAMS), the Medication Knowledge Assessment Questionnaire, and the Family Support Scale before the intervention and at 8 and 24 weeks after the intervention. Pre-intervention group differences were not statistically significant. At 8 weeks after the intervention, the control group showed no statistically significant differences in the MMAS-8, SEAMS, and Medication Knowledge Assessment scores pre-and post-intervention. These scores were higher in the experimental group than in the control group, with the post-intervention scores being higher than the pre-intervention scores. The MMAS-8, SEAMS, and Medication Knowledge Assessment scores for the experimental group were higher at 24 weeks than at 8 weeks; these scores were higher in the experimental group than in the control group. The experimental group also had higher family support scores than the control group; these scores were higher pre-intervention than post-intervention. A family-involved smart medication management system can effectively improve medication adherence, self-efficacy for appropriate medication use, medication knowledge assessment scores, and family support for rural middle-aged and older adult patients with chronic diseases.
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Affiliation(s)
- Jiankang He
- Department of Nursing, Hebei College of Traditional Chinese Medicine, Shijiazhuang, China
| | - Jinjin Chen
- Department of Nursing, Hebei College of Traditional Chinese Medicine, Shijiazhuang, China
- *Correspondence: Jinjin Chen, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China (e-mail: )
| | - Qianqian Li
- Department of Clinical Medicine, Qinghai University, Qinghai, China
| | - Zhipeng Yang
- Department of Science, Wuhan University of Science and Technology, Wuhan, China
| | - Huan Liang
- Department of Nursing, Hebei College of Traditional Chinese Medicine, Shijiazhuang, China
| | - Lu Wang
- Department of Nursing, Hebei College of Traditional Chinese Medicine, Shijiazhuang, China
| | - Zhixia Sun
- Nursing Clinic, Hebei Hospital of Traditional Chinese Medicine, Shijiazhuang, China
| | - Huaijun Zhao
- Medical Clinic, Cui Jiaqiao Township Health Center in Anyang County, Anyang, China
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Sung M, He J, Zhou Q, Chen Y, Ji JS, Chen H, Li Z. Using an Integrated Framework to Investigate the Facilitators and Barriers of Health Information Technology Implementation in Noncommunicable Disease Management: Systematic Review. J Med Internet Res 2022; 24:e37338. [PMID: 35857364 PMCID: PMC9350822 DOI: 10.2196/37338] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/25/2022] [Accepted: 06/27/2022] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Noncommunicable disease (NCD) management is critical for reducing attributable health burdens. Although health information technology (HIT) is a crucial strategy to improve chronic disease management, many health care systems have failed in implementing HIT. There has been a lack of research on the implementation process of HIT for chronic disease management. OBJECTIVE We aimed to identify the barriers and facilitators of HIT implementation, analyze how these factors influence the implementation process, and identify key areas for future action. We will develop a framework for understanding implementation determinants to synthesize available evidence. METHODS We conducted a systematic review to understand the barriers and facilitators of the implementation process. We searched MEDLINE, Cochrane, Embase, Scopus, and CINAHL for studies published between database inception and May 5, 2022. Original studies involving HIT-related interventions for NCD management published in peer-reviewed journals were included. Studies that did not discuss relevant outcome measures or did not have direct contact with or observation of stakeholders were excluded. The analysis was conducted in 2 parts. In part 1, we analyzed how the intrinsic attributes of HIT interventions affect the successfulness of implementation by using the intervention domain of the Consolidated Framework for Implementation Research (CFIR). In part 2, we focused on the extrinsic factors of HIT using an integrated framework, which was developed based on the CFIR and the levels of change framework by Ferlie and Shortell. RESULTS We identified 51 papers with qualitative, mixed-method, and cross-sectional methodologies. Included studies were heterogeneous regarding disease populations and HIT interventions. In part 1, having a relative advantage over existing health care systems was the most prominent intrinsic facilitator (eg, convenience, improvement in quality of care, and increase in access). Poor usability was the most noted intrinsic barrier of HIT. In part 2, we mapped the various factors of implementation to the integrated framework (the coordinates are shown as level of change-CFIR). The key barriers to the extrinsic factors of HIT included health literacy and lack of digital skills (individual-characteristics of individuals). The key facilitators included physicians' suggestions, cooperation (interpersonal-process), integration into a workflow, and adequate management of data (organizational-inner setting). The importance of health data security was identified. Self-efficacy issues of patients and organizational readiness for implementation were highlighted. CONCLUSIONS Internal factors of HIT and external human factors of implementation interplay in HIT implementation for chronic disease management. Strategies for improvement include ensuring HIT has a relative advantage over existing health care; tackling usability issues; and addressing underlying socioeconomic, interpersonal, and organizational conditions. Further research should focus on studying various stakeholders, such as service providers and administrative workforces; various disease populations, such as those with obesity and mental diseases; and various countries, including low- and middle-income countries.
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Affiliation(s)
- Meekang Sung
- College of Pharmacy, Seoul National University, Seoul, Republic of Korea
| | - Jinyu He
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Qi Zhou
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Yaolong Chen
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Haotian Chen
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Zhihui Li
- Vanke School of Public Health, Tsinghua University, Beijing, China.,Institute for Healthy China, Tsinghua Universtiy, Beijing, China
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Ayatollahi H. PATIENTS' AND PHYSICIANS' PERSPECTIVES ABOUT USING HEALTH INFORMATION TECHNOLOGY IN DIABETES MANAGEMENT IN IRAN: A QUALITATIVE STUDY. PERSPECTIVES IN HEALTH INFORMATION MANAGEMENT 2022; 18:1i. [PMID: 34975358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 09/28/2022]
Abstract
Introduction Diabetes mellitus is known as a major chronic disease that has a number of consequences affecting individuals' health conditions and socioeconomic aspects of life. These challenges require innovative interventions, such as self-management to improve patients' health condition and reduce the economic burden of healthcare systems. The current research aimed to identify patients' and physicians' perspectives about the use of health information technology in diabetes management in Iran. Methods This was a qualitative study conducted in 2019. In order to collect data, semi-structured interviews were conducted with eight patients and 10 specialists in an endocrine and metabolism research center and in a teaching hospital. The interviews were digitally recorded and transcribed verbatim. Finally, data were analyzed by using framework analysis method and MAXQDA version 10. Results According to the results, both patients and physicians believed that while using health information technology can improve access to healthcare services, the high cost of technology may hinder its usage. Factors such as government and health system support can motivate users to use the technology, and factors such as lack of user training and technical problems may have a negative impact on technology usage. Conclusion As a number of motivational and inhibitory factors may influence the use of health information technology in diabetes management, it is imperative to take each of these factors into account before designing and implementing new technologies, especially for diabetes management.
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Harakeh Z, Van Keulen H, Hogenelst K, Otten W, De Hoogh IM, Van Empelen P. Predictors of the Acceptance of an eCoach targeting Self-management of Type 2 Diabetes Patients: A Web-Based Survey (Preprint). JMIR Form Res 2021; 6:e34737. [PMID: 35972769 PMCID: PMC9428778 DOI: 10.2196/34737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 04/29/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
Background Type 2 diabetes (T2D) is a lifestyle-related disease whose prevalence increases with age. Diabetes self-management through mobile health (mHealth) apps enables patients with T2D to improve their health. According to the Technology Acceptance Model (TAM), technology acceptance (ie, intended use) is necessary to ensure mHealth can be implemented successfully. Therefore, the specific acceptance requirements of patients with T2D should be considered. Objective This cross-sectional study aims to examine the extent to which different TAM predictors are associated with the acceptance of a diabetes app including an electronic coach (eCoach; Iris app) among patients with T2D. Methods Using a web-based survey, data on 92 patients with T2D (mean age 62.76 years, SD 8.29 years) were collected. Acceptance of the Iris app with the TAM predictors (ie, perceived usefulness, perceived ease of use, social influence, perceived self-efficacy, perceived security, prior usage experience, perceived health, and propensity of data/information sharing) was assessed. Further, control variables (ie, gender, age, education, ethnicity, household, BMI, amount of years with diabetes, diabetes-related complaints, and medication use) were assessed. Results Multiple linear regression analyses showed that acceptance of the Iris app was positively associated with perceived usefulness (β=.57, P<.001), social influence (subjective norm; β=.20, P=.004), and willingness to share data (β=.25, P<.001). In addition, acceptance regarding the Iris app was higher among patients with T2D with overweight (β=.23, P=.01) or obese BMI (β=.21, P=.01). The model explained 75.8% of the variance in the acceptance of the Iris app by patients with T2D. In addition, perceived usefulness of the Iris app was positively related to perceived ease of use (β=.32, P<.001), subjective norm (β=.26, P=.004), perceived control (β=.19, P=.03), willingness to share data (β=.20, P=.01) regarding the Iris app, and perceived security regarding general use of apps/smartphone/internet (β=.15, P=.04). The model explained 58.2% of the variance in patients’ perceived usefulness about the Iris app. Conclusions Among patients with T2D, the belief that the use of the Iris app is helpful/beneficial, the willingness to share their Iris app data, and others’ approval of using this app can stimulate the acceptance of this app. In addition, the belief that the use of (health) apps is reliable and secure, the belief that the use of the Iris app is easy to use, a higher perceived capability and personal control with using this app, the willingness to share their Iris app data, and others’ approval of using this app can stimulate the perceived usefulness of such an app. These TAM predictors explained a high variance in acceptance and perceived usefulness of the Iris app. Implications for practice are addressed.
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Affiliation(s)
- Zeena Harakeh
- Department of Child Health, TNO, Netherlands Organization for Applied Scientific Research, Leiden, Netherlands
| | - Hilde Van Keulen
- Department of Child Health, TNO, Netherlands Organization for Applied Scientific Research, Leiden, Netherlands
| | - Koen Hogenelst
- Department of Training and Performance Innovations, TNO, Netherlands Organization for Applied Scientific Research, Soesterberg, Netherlands
| | - Wilma Otten
- Department of Child Health, TNO, Netherlands Organization for Applied Scientific Research, Leiden, Netherlands
| | - Iris M De Hoogh
- Department of Microbiology and Systems Biology, TNO, Netherlands Organization for Applied Scientific Research, Zeist, Netherlands
| | - Pepijn Van Empelen
- Department of Child Health, TNO, Netherlands Organization for Applied Scientific Research, Leiden, Netherlands
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