Effects of continuous care for patients with type 2 diabetes using mobile health application: A randomised controlled trial

Wang, Yanmei; Li, Ming; Zhao, Xinying; Pan, Xinxin; Lu, Min; Lü, Jing; Hu, Yan

doi:10.1002/hpm.2872

Cited by 38 publications

(47 citation statements)

References 29 publications

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“…The chronic disease most commonly addressed was diabetes ( n = 29, 42.0%), with 16 studies sampling type 2 diabetes (T2DM) population in 19 articles 30 – 33 , 42 , 48 , 49 , 52 – 63 , 10 focusing on type 1 diabetes (T1DM) 51 , 64 – 72 and three enrolling both T1DM and T2DM patients in four articles 45 , 73 – 75 . Thirteen studies (18.8%) targeted cardiovascular diseases, with five focusing on heart failure 35 , 36 , 76 – 78 and the remaining on cardiovascular diseases (CVDs) 34 , 38 , 39 , 79 – 84 .…”

Section: Resultsmentioning

confidence: 99%

“…The final 20 studies included both HCP involvement and higher-intensity technology automation. Some of the app interventions calculated and suggested optimal insulin doses under general professional oversight and with facilitated patient–physician communication 51 , 56 , 64 , 66 , while the remaining provided automatic machine-based feedbacks as a first-level support with the possibility for professionals to intervene if warranted 30 , 31 , 34 , 49 , 50 , 52 , 57 , 60 , 76 , 77 , 86 , 88 , 89 , 91 , 98 , 102 .…”

Section: Resultsmentioning

confidence: 99%

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Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials

et al. 2021

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COVID-19 pandemic challenges have accelerated the reliance on digital health fuelling the expanded incorporation of mobile apps into healthcare services, particularly for the management of long-term conditions such as chronic diseases (CDs). However, the impact of health apps on outcomes for CD remains unclear, potentially owing to both the poor adoption of formal development standards in the design process and the methodological quality of studies. A systematic search of randomised trials was performed on Medline, ScienceDirect, the Cochrane Library and Scopus to provide a comprehensive outlook and review the impact of health apps on CD. We identified 69 studies on diabetes (n = 29), cardiovascular diseases (n = 13), chronic respiratory diseases (n = 13), cancer (n = 10) or their combinations (n = 4). The apps rarely adopted developmental factors in the design stage, with only around one-third of studies reporting user or healthcare professional engagement. Apps differed significantly in content, with a median of eight behaviour change techniques adopted, most frequently pertaining to the ‘Feedback and monitoring’ (91%) and ‘Shaping knowledge’ (72%) categories. As for the study methodologies, all studies adopted a traditional randomised control trial (RCT) design, with relatively short follow-ups and limited sample sizes. Findings were not significant for the majority of studies across all CD, with most RCTs revealing a high risk of bias. To support the adoption of apps for CD management, this review reinforces the need for more robust development and appropriate study characteristics to sustain evidence generation and elucidate whether study results reflect the true benefits of apps or a biased estimate due to unsuitable designs.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials

et al. 2021

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“…Teach-back communication as an intervention/exposure strategy was utilized in 6 studies out of which 3 were RCTs, 2 were CS and 1 study was a cross-sectional study (miscellaneous). Among the studies utilizing mHealth ( n = 11), 7 studies [ 26 , 27 , 28 , 29 , 30 , 31 , 32 ] showed significant reduction ( p < 0.05) in hospital readmissions while four studies [ 33 , 34 , 35 , 36 ] did not show any significant reduction ( p > 0.05) in readmissions. Among the teach-back communication group ( n = 6), the majority of the studies ( n = 5) [ 37 , 38 , 39 , 40 , 41 ] showed a significant reduction in hospital readmissions while one publication [ 42 ] did not show any significant hospital readmission reduction.…”

Section: Resultsmentioning

confidence: 99%

Post Discharge mHealth and Teach-Back Communication Effectiveness on Hospital Readmissions: A Systematic Review

Mashhadi

Hisam

Sikander

et al. 2021

IJERPH

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Hospital readmissions pose a threat to the constrained health resources, especially in resource-poor low-and middle-income countries. In such scenarios, appropriate technologies to reduce avoidable readmissions in hospitals require innovative interventions. mHealth and teach-back communication are robust interventions, utilized for the reduction in preventable hospital readmissions. This review was conducted to highlight the effectiveness of mHealth and teach-back communication in hospital readmission reduction with a view to provide the best available evidence on such interventions. Two authors independently searched for appropriate MeSH terms in three databases (PubMed, Wiley, and Google Scholar). After screening the titles and abstracts, shortlisted manuscripts were subjected to quality assessment and analysis. Two authors checked the manuscripts for quality assessment and assigned scores utilizing the QualSyst tool. The average of the scores assigned by the reviewers was calculated to assign a summary quality score (SQS) to each study. Higher scores showed methodological vigor and robustness. Search strategies retrieved a total of 1932 articles after the removal of duplicates. After screening titles and abstracts, 54 articles were shortlisted. The complete reading resulted in the selection of 17 papers published between 2002 and 2019. Most of the studies were interventional and all the studies focused on hospital readmission reduction as the primary or secondary outcome. mHealth and teach-back communication were the two most common interventions that catered for the hospital readmissions. Among mHealth studies (11 out of 17), seven studies showed a significant reduction in hospital readmissions while four did not exhibit any significant reduction. Among the teach-back communication group (6 out of 17), the majority of the studies (5 out of 6) showed a significant reduction in hospital readmissions while one publication did not elicit a significant hospital readmission reduction. mHealth and teach-back communication methods showed positive effects on hospital readmission reduction. These interventions can be utilized in resource-constrained settings, especially low- and middle-income countries, to reduce preventable readmissions.

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“…Menurunkan kadar hbA1c, profil lipid, dan memperbaiki level efikasi diri serta level insulin pasien diabetes melitus tipe 2 (Wang, et al, 2019) (15) RCT 120 responden dengan usia 30-60 tahun 6 bulan…”

Section: Bulanunclassified

Efektivitas Mobile Health Intervention Terhadap Manajemen Diri Dan Kontrol Glikemik Pada Pasien Dengan Diabtes Melitus Tipe 2: A Systematic Review

Samudera

Fajriyah

Trisnawati

2020

JPKSF

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Background: Type 2 diabetes mellitus was one of non-communicable diseases that increased of prevalence in word wide, included in Indonesia. Utilization of technology as an effort of increase of diabetes treatment is important for achieving of optimum glycemic control and to prevent of complication of diabetes mellitus. However, intervention for self management in patients with diabetes mellitus at this time still not using technology based mobile health intervention. Purpose: This study aims to verify of effectiveness of mobile health intervention on self management and glycemic control in patient with type 2 diabetes mellitus. Method: Design of this studies was used systematic review of randomized controlled trial with PRISMA approach. Article search was carried out through databases: Scopus, Science Direct, and ProQuest with randomized controlled trial design within last 10 years. Results: The finding showed 407 articles have been obtained. Articles selection process were through few steps: topic selection, full text selection, design of studies and obtained 10 articles have been as appropriate of inclusion criteria. Based on results of finding of 10 articles were showed that mobile health intervention was effective in improving of glycemic control by decreasing hbA1c, fasting blood glucose, 2 hours post pandrial. Furthermore, mobile health intervention was effective in increasing of self management in patient with type 2 diabetes mellitus and increased adherence of diabetes medication. Moreover, mobile health intervention can also improve of insulin level and lipid profile in patient with type 2 diabetes mellitus. Conclusion: Mobile health intervention was effective in improving of glycemic control and self management, and giving of facilitate communication between patient and health providers Keywords: mobile health application; self management; glycemic control; diabetes mellitus ABSTRAK Latar belakang: diabetes melitus (DM) tipe 2 merupakan salah satu penyakit tidak menular yang mengalami peningkatan angka kejadian di dunia, termasuk di Indonesia. Penggunaan teknologi sebagai upaya meningkatkan manajemen diabetes melitus sangatlah penting untuk dilakukan guna mencapai kontrol glikemik optimal dan mencegah komplikasi dari Diabetes Melitus. Namun, manajemen diri pada sebagian besar pasien Diabetes Melitus saat ini masih belum menggunakan bantuan teknologi berbasis mobile health. Tujuan: Penelitian ini bertujuan untuk memverifikasi efektivitas dari penggunaan mobile health intervention terhadap manajemen diri dan kontrol glikemik pasien dengan diabetes melitus tipe 2. Metode: desain dalam penelitian ini adalah systematic review dengan menggunakan pendekatan PRISMA. Pencarian artikel dilakukan pada beberapa database yang meliputi: Scopus, Science Direct dan ProQuest dengan desain Randomized controlled trial dalam 10 tahun terakhir. Hasil: hasil temuan didapatkan sejumlah 407 artikel penelitian. Proses seleksi artikel dilakukan beberapa tahap meliputi: seleksi topik, fullteks, desain artikel penelitian dan didapatkan 10 artikel penelitian yang sesuai dengan kriteria inklusi. Berdasarkan hasil temuan dari 10 artikel penelitian yang digunakan, menunjukkan bahwa mobile health intervention efektif dalam memperbaiki kontrol glikemik pasien diabetes melalui penurunan kadar hbA1c, gula darah puasa, 2 jam post pandrial. Selanjutnya, mobile health intervention efektif dalam meningkatkan manajemen diri pasien diabetes dan meningkatkan kepatuhan pengobatan. Selain itu, mobile health intervention juga dapat memperbaiki level insulin dan profil lipid pasien diabetes melitus tipe 2. Kesimpulan: Mobile health intervention efektif dalam memperbaiki kontrol glikemik dan meningkatkan manajemen diri pasien diabetes melitus serta memudahkan komunikasi antara pasien dengan tenaga kesehatan Kata kunci: mobile health application; manajemen diri; kontrol glikemik; diabetes melitus

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Effects of continuous care for patients with type 2 diabetes using mobile health application: A randomised controlled trial

Cited by 38 publications

References 29 publications

Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials

Development features and study characteristics of mobile health apps in the management of chronic conditions: a systematic review of randomised trials

Post Discharge mHealth and Teach-Back Communication Effectiveness on Hospital Readmissions: A Systematic Review

Efektivitas Mobile Health Intervention Terhadap Manajemen Diri Dan Kontrol Glikemik Pada Pasien Dengan Diabtes Melitus Tipe 2: A Systematic Review

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