The Effects of Web-Based Diabetes Education on Diabetes Care Results

Avdal, Elif Ünsal; Kızılcı, Sevgi; Demirel, Neslihan

doi:10.1097/ncn.0b013e3181fcbdc6

Cited by 34 publications

(33 citation statements)

References 16 publications

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“…Significant difference between intervention group and control group was also observed in the group of duration > 3 months and ≤ 6 months [9,10,20,25,26,28,29,37], with a pooled WMD of -0.47% (95% CI [-0.63, -0.30], P < .001). However, the heterogeneity increased to 45.9%.…”

Section: Results Of Subgroup Analysis Based On Intervention Periodsmentioning

confidence: 87%

“…Factitious feedback was accomplished through telephone, videoconferencing and short message services by cellular phone and the internet. 10 studies provided online education [8,10,20,22,25,28,[30][31][32]34] and only 2 studies did not incorporate transmission function of glucose measurements [8,12].…”

Section: Characteristics Of Interventionsmentioning

confidence: 99%

“…Of the 28 studies included, 9 were conducted in the United States [11,12,19,20,22,25,28,30,31], 7 in the Republic of Korea [7,8,21,23,26,27,37], 2 in Poland [29,36] and Italy [16,35] respectively and 1 in China [34], Japan [33], Finland [18], Turkey [10], Canada [9], Spain [24], Norway [14] and England [32] each. Included studies were published between 2004 and 2016 and the intervention duration ranged from 6 weeks to 5 years.…”

Section: Characteristics Of Studiesmentioning

confidence: 99%

“…7 studies used web-based interventions solely [7,9,10,12,21,29,34], 6 used mobile technology [14,18,24,27,33,36] and 5 used the combination of both [8,26,30,31,37]. 10 studies utilized other forms of new media, including portable digital assistant, tablet computer and data transmission equipment only [11,16,19,20,22,23,25,28,32,35].…”

Section: Characteristics Of Interventionsmentioning

confidence: 99%

“…However, there is not a universally acknowledged verdict on whether new media interventions could make a significant difference on patients' glycemic level. Some research reported that compared with usual care, new media interventions could significantly reduce HbA1c levels in patients with type 2 diabetes [7][8][9][10][11] while others reported otherwise [12][13][14][15][16]. Therefore, in order to comprehensively evaluate the overall impact of new media interventions, a meta-analysis is needed to achieve the pooled result.…”

Section: Introductionmentioning

confidence: 99%

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Effectiveness of Internet-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Meta-Analysis of Randomized Controlled Trials (Preprint)

Shen¹,

Wang²,

Zhang³

et al. 2017

Preprint

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BACKGROUND The popularity of internet as an area of research has grown manifold over the years. Given its rapid development and increasing coverage worldwide, internet-based interventions seem to offer a promising option to ameliorate huge burdens brought by type 2 diabetes mellitus. However, studies conducted by different researchers have provided contradictory results on the effect of internet-based interventions in glycemic control. OBJECTIVE This meta-analysis aims to summarize currently available evidence and evaluate the overall impact of internet-based interventions on glycemic management of type 2 diabetic patients. METHODS A systematic literature search was performed in PubMed, ScienceDirect, and Web of Science. Randomized controlled trials that used glycosylated hemoglobin values as the outcome measure of glycemic control were considered. Risk of bias and publication bias were evaluated. RESULTS Of the 492 studies, 35 were included in meta-analysis, and results indicated that the weighted mean difference (WMD) between usual care and internet-based interventions at endpoint was –0.426% (95% CI –0.540 to –0.312; P<.001). Subgroup analyses revealed that intervention duration ≤3 months yielded optimal performance (WMD –0.51%; 95% CI –0.71 to –0.31; P<.001). Combined mobile and website interventions were substantially superior to solely Web-based and mobile-based interventions in glycemic control (combined WMD –0.77%, 95% CI –1.07 to –0.47; P<.001; Web only: WMD –0.48%; 95% CI –0.71 to –0.24, P<.001; mobile only WMD –0.31%, 95% CI –0.49 to –0.14; P<.001). Furthermore, the effect of interventions with automated feedbacks was similar to those with manual feedbacks, and studies with internet-based educational contents were more effective in glycemic control. The assessment revealed a low risk of bias. CONCLUSIONS In conclusion, utilization of internet-based intervention is beneficial for patients with type 2 diabetes mellitus, and taking full advantage of this type of intervention may substantially reduce the incidence of complications and improve quality of life. CLINICALTRIAL International Prospective Register of Systematic Reviews (PROSPERO): CRD42017058032; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=58032 (Archived by WebCite at http://www.webcitation.org/6yY7eQNHr)

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Section: Results Of Subgroup Analysis Based On Intervention Periodsmentioning

confidence: 87%

Section: Characteristics Of Interventionsmentioning

confidence: 99%

Section: Characteristics Of Studiesmentioning

confidence: 99%

Section: Characteristics Of Interventionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Effectiveness of Internet-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Meta-Analysis of Randomized Controlled Trials (Preprint)

Shen¹,

Wang²,

Zhang³

et al. 2017

Preprint

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Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes

Yogasingam

Konnyu

Lépine

et al. 2023

Cochrane Database of Systematic Reviews

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Background There is a large body of evidence evaluating quality improvement (QI) programmes to improve care for adults living with diabetes. These programmes are often comprised of multiple QI strategies, which may be implemented in various combinations. Decision‐makers planning to implement or evaluate a new QI programme, or both, need reliable evidence on the relative effectiveness of different QI strategies (individually and in combination) for different patient populations. Objectives To update existing systematic reviews of diabetes QI programmes and apply novel meta‐analytical techniques to estimate the effectiveness of QI strategies (individually and in combination) on diabetes quality of care. Search methods We searched databases (CENTRAL, MEDLINE, Embase and CINAHL) and trials registers (ClinicalTrials.gov and WHO ICTRP) to 4 June 2019. We conducted a top‐up search to 23 September 2021; we screened these search results and 42 studies meeting our eligibility criteria are available in the awaiting classification section. Selection criteria We included randomised trials that assessed a QI programme to improve care in outpatient settings for people living with diabetes. QI programmes needed to evaluate at least one system‐ or provider‐targeted QI strategy alone or in combination with a patient‐targeted strategy. ‐ System‐targeted: case management (CM); team changes (TC); electronic patient registry (EPR); facilitated relay of clinical information (FR); continuous quality improvement (CQI). ‐ Provider‐targeted: audit and feedback (AF); clinician education (CE); clinician reminders (CR); financial incentives (FI). ‐ Patient‐targeted: patient education (PE); promotion of self‐management (PSM); patient reminders (PR). Patient‐targeted QI strategies needed to occur with a minimum of one provider or system‐targeted strategy. Data collection and analysis We dual‐screened search results and abstracted data on study design, study population and QI strategies. We assessed the impact of the programmes on 13 measures of diabetes care, including: glycaemic control (e.g. mean glycated haemoglobin (HbA1c)); cardiovascular risk factor management (e.g. mean systolic blood pressure (SBP), low‐density lipoprotein cholesterol (LDL‐C), proportion of people living with diabetes that quit smoking or receiving cardiovascular medications); and screening/prevention of microvascular complications (e.g. proportion of patients receiving retinopathy or foot screening); and harms (e.g. proportion of patients experiencing adverse hypoglycaemia or hyperglycaemia). We modelled the association of each QI strategy with outcomes using a series of hierarchical multivariable meta‐regression models in a Bayesian framework. The previous version of this review identified that different strategies were more or less effective depending on baseline levels of outco...

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Development and evaluation of the efficacy of a web-based education program among cancer patients undergoing treatment with systemic chemotherapy: a randomized controlled trial

Bektaş

Çoşkun

Arıkan

et al. 2022

Support Care Cancer

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Purpose The study aimed to develop a web-based education program among cancer patients undergoing treatment with systemic chemotherapy and to evaluate the efficacy of the program on symptom control, quality of life, self-efficacy, and depression. Methods A web-based education program was prepared in line with patient needs, evidence-based guidelines, and expert opinions and tested with 10 cancer patients. The single-blind, randomized controlled study was conducted at a medical oncology unit of a university hospital. Pretests were applied to 60 cancer patients undergoing treatment with systemic chemotherapy, and the patients (intervention: 30, control: 30) were randomized. The intervention group used a web-based education program for 3 months, and they were allowed to communicate with researchers 24/7 via the website. The efficacy of a web-based education program at baseline and after 12 weeks was evaluated. The CONSORT 2010 guideline was performed. Results In the first phase results of the study, it was found that most of the patients with cancer wanted to receive education about symptom management and the side effects of the treatment. Expert opinions on the developed website were found to be compatible with each other (Kendall’s Wa = 0.233, p = 0.008). According to the randomized controlled study results, patients who received web-based education reported significantly fewer symptoms ( p = 0.026) and better quality of life ( p = 0.001), but there was no statistically significant difference in the self-efficacy and depression levels during the 3-month follow-up period ( p ˃0.05). The most frequently visited links in the web-based education program by the patients with cancer were the management of chemotherapy-related symptoms (62.6%). Conclusion A web-based education program was found to be efficacy in remote symptom management and improving the quality of life of cancer patients. Trial registration www.clinicaltrials.gov , NCT05076916 (October 12, 2021, retrospectively registered). Supplementary Information The online version contains supplementary material available at 10.1007/s00520-022-07039-w.

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The Effects of Web-Based Diabetes Education on Diabetes Care Results

Cited by 34 publications

References 16 publications

Effectiveness of Internet-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Meta-Analysis of Randomized Controlled Trials (Preprint)

Effectiveness of Internet-Based Interventions on Glycemic Control in Patients With Type 2 Diabetes: Meta-Analysis of Randomized Controlled Trials (Preprint)

Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes

Development and evaluation of the efficacy of a web-based education program among cancer patients undergoing treatment with systemic chemotherapy: a randomized controlled trial

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