DM-calendar app as a diabetes self-management education on adult type 2 diabetes mellitus: a randomized controlled trial

Kusnanto, Kusnanto; Widyanata, Komang Agus Jerry; Suprajitno,; Arifin, Hidayat

doi:10.1007/s40200-019-00468-1

Cited by 35 publications

(36 citation statements)

References 29 publications

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“…In total, we included 27 papers analyzing 1646 patients in the intervention groups and 1241 in the control groups. Of the 27 papers, 7 were focused on T1DM (308 patients in the intervention groups and 129 patients in the control groups) [43][44][45][46][47][48][49], 12 were focused on T2DM (743 patients in the intervention groups and 645 patients in the control groups) [50][51][52][53][54][55][56][57][58][59][60][61], and 4 were focused on GDM (339 patients in the intervention groups and 343 patients in the control groups) [62][63][64][65]. The remaining 4 papers did not specify the type of DM they looked at or included a mix of DM types (256 patients in the intervention groups and 124 patients in the control groups) [66][67][68][69].…”

Section: Overviewmentioning

confidence: 99%

“…In total, 743 patients in intervention groups and 645 patients in control groups were investigated in the studies focused on T2DM. Eleven of the studies reported a decrease of HbA 1c within the app intervention groups, yielding a mean difference of -0.42% [50][51][52][54][55][56][57][58][59][60][61], but only 1 study reported a significant change of -1.1% (P<.001) [56]. The proportion changes when differences between intervention and control groups were considered.…”

Section: Hba 1cmentioning

confidence: 99%

“…The proportion changes when differences between intervention and control groups were considered. Of 11 studies that included control groups in their study design, 7 studies reported significant differences (mean difference: -0.78%, -1.51 to -0.35) in favor of the app intervention groups [51,[53][54][55][56][57][58], while 3 studies did not find a significant difference between groups [52,59,60] and 1 study did not report on differences between groups [61]. Moreover, Kim et al [61] found a significant decrease of 0.4% (P<.001) in HbA 1c in their subgroup analysis for participants with a high satisfaction level and no significant decrease in participants with a low satisfaction level.…”

Section: Hba 1cmentioning

confidence: 99%

“…Cholesterol levels were reported in 7 studies (407 patients in the intervention groups and 348 patients in the control groups). Six studies looked at total cholesterol [52,53,55,56,58,61], but only 1 study found a significant change within the intervention group (P=.01), as well as between the groups (P=.009) [56]. High-density lipoprotein (HDL) cholesterol and low-density lipoprotein (LDL) cholesterol were both included in 7 studies [52,53,[55][56][57][58]61].…”

Section: Cholesterolmentioning

confidence: 99%

“…Six studies looked at total cholesterol [52,53,55,56,58,61], but only 1 study found a significant change within the intervention group (P=.01), as well as between the groups (P=.009) [56]. High-density lipoprotein (HDL) cholesterol and low-density lipoprotein (LDL) cholesterol were both included in 7 studies [52,53,[55][56][57][58]61]. Regarding HDL cholesterol, only 1 study found significant differences within groups (P=.002 in the intervention group, P=.004 in the control group) and between groups, showing greater improvement and lower values in the control group (60.67 mg/dL to 54.33 mg/dL in the intervention group versus 60.07 mg/dL to 52.73 mg/dL in the control group; P=.048) [56].…”

Section: Cholesterolmentioning

confidence: 99%

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Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review

Eberle¹,

Löhnert²,

Stichling³

2021

JMIR Mhealth Uhealth

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Background According to the World Health Organization, the worldwide prevalence of diabetes mellitus (DM) is increasing dramatically and DM comprises a large part of the global burden of disease. At the same time, the ongoing digitalization that is occurring in society today offers novel possibilities to deal with this challenge, such as the creation of mobile health (mHealth) apps. However, while a great variety of DM-specific mHealth apps exist, the evidence in terms of their clinical effectiveness is still limited. Objective The objective of this review was to evaluate the clinical effectiveness of mHealth apps in DM management by analyzing health-related outcomes in patients diagnosed with type 1 DM (T1DM), type 2 DM (T2DM), and gestational DM. Methods A scoping review was performed. A systematic literature search was conducted in MEDLINE (PubMed), Cochrane Library, EMBASE, CINAHL, and Web of Science Core Collection databases for studies published between January 2008 and October 2020. The studies were categorized by outcomes and type of DM. In addition, we carried out a meta-analysis to determine the impact of DM-specific mHealth apps on the management of glycated hemoglobin (HbA1c). Results In total, 27 studies comprising 2887 patients were included. We analyzed 19 randomized controlled trials, 1 randomized crossover trial, 1 exploratory study, 1 observational study, and 5 pre-post design studies. Overall, there was a clear improvement in HbA1c values in patients diagnosed with T1DM and T2DM. In addition, positive tendencies toward improved self-care and self-efficacy as a result of mHealth app use were found. The meta-analysis revealed an effect size, compared with usual care, of a mean difference of –0.54% (95% CI –0.8 to –0.28) for T2DM and –0.63% (95% CI –0.93 to –0.32) for T1DM. Conclusions DM-specific mHealth apps improved the glycemic control by significantly reducing HbA1c values in patients with T1DM and T2DM patients. In general, mHealth apps effectively enhanced DM management. However, further research in terms of clinical effectiveness needs to be done in greater detail.

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Section: Overviewmentioning

confidence: 99%

Section: Hba 1cmentioning

confidence: 99%

Section: Hba 1cmentioning

confidence: 99%

Section: Cholesterolmentioning

confidence: 99%

Section: Cholesterolmentioning

confidence: 99%

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Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review

Eberle¹,

Löhnert²,

Stichling³

2021

JMIR Mhealth Uhealth

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Brief Digital Solutions in Behavior Change Interventions for Type 2 Diabetes Mellitus: A Literature Review

et al. 2022

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Introduction With the advent of the COVID-19 pandemic, health systems increasingly look to digital health solutions to provide support for self-management to people with type 2 diabetes (T2D). This review aimed to assess brief digital behavior change solutions (i.e., solutions that require limited engagement or contact) for T2D, including use of behavior change techniques (BCTs) and their impact on self-care and glycemic control. Methods A review was conducted by searching Embase and gray literature using a predefined search strategy to identify randomized controlled trials (RCT) published between January 1, 2015, and March 21, 2021. BCTs were coded using an internationally established BCT taxonomy v1 (BCTTv1). Results Out of 1426 articles identified, 10 RCTs were included in qualitative synthesis. Of these, six reported significant improvements in primary outcome(s), including improved patient engagement, glycemic control, self-efficacy, and physical activity. Interventions as short as 12 min were found to be effective, and users’ ability to control their preferences was noted as conducive to engagement. Almost three quarters of BCTs targeted by interventions were under the hierarchical clusters of “Feedback and monitoring,” “Goals and planning,” and “Shaping knowledge.” Interventions that targeted fewer BCTs were at least as effective as interventions that were more comprehensive in their goals. Discussion Digital behavior change solutions can successfully improve T2D self-care support and outcomes in a variety of populations including patients with low incomes, limited educational attainment, or living in rural areas. Easy-to-use interventions tailored to patient needs may be as effective as lengthy, complex, and more generalized interventions. Conclusions Brief digital solutions can improve clinical and behavioral outcomes while reducing patient burden, fitting more easily in patients’ lives and potentially improving usability. As T2D patients increasingly expect access to self-care assistance between face-to-face encounters, digital support tools will play a greater role in effective diabetes management programs. Supplementary Information The online version contains supplementary material available at 10.1007/s13300-022-01244-w.

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What I felt as a diabetes fatigue survivor: a phenomenology study

Kusnanto

Pradipta

Arifin

et al. 2022

J Diabetes Metab Disord

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Purpose Diabetes has resulted in an increase in diabetic fatigue syndrome, which has a negative influence on health, particularly the risk of worsening quality of life (QoL) due to physical and mental limitations. The purpose of this study was to evaluate the experiences of patients with unregulated type 2 diabetes mellitus (T2DM) and diabetes fatigue syndrome. Methods This study used a qualitative phenomenological design and focused on patients from four primary health centers (PHCs) in Surabaya, Indonesia with higher incidents of unregulated T2DM. Thirty participants were recruited using purposive sampling with the following inclusion criteria: adult T2DM patients, willing to participate in the study, and able to recount experiences associated with their illness. Data collection took place between April and June 2020 across 36 interview sessions. Semi-structured interviews were carried out face-to-face with each participant with the principles of social distancing applied due to the COVID-19 pandemic. Results Analysis identified five themes and thirteen subthemes. The first theme was participants’ experiences during blood glucose imbalance. Other themes included experiences of boredom with diet, physical and psychological distress, financial problems during treatment, and sexual problems. Conclusion Participants with T2DM who experienced diabetes fatigue reported negative effects on their life, especially on health, functional daily activity, and finances. The results of this study can provide information for nurses and other healthcare providers to promote interventions for patients with T2DM, such as modifying lifestyle, self-acceptance, and self-efficacy.

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DM-calendar app as a diabetes self-management education on adult type 2 diabetes mellitus: a randomized controlled trial

Cited by 35 publications

References 29 publications

Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review

Effectiveness of Disease-Specific mHealth Apps in Patients With Diabetes Mellitus: Scoping Review

Brief Digital Solutions in Behavior Change Interventions for Type 2 Diabetes Mellitus: A Literature Review

What I felt as a diabetes fatigue survivor: a phenomenology study

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