scholarly journals Culturally Tailored Self-Management Interventions for South Asians With Type 2 Diabetes: A Systematic Review

2019 ◽  
Vol 43 (6) ◽  
pp. 445-452 ◽  
Author(s):  
Nevin Navodia ◽  
Olive Wahoush ◽  
Tricia Tang ◽  
Jennifer Yost ◽  
Sarah Ibrahim ◽  
...  
2021 ◽  
Vol 6 ◽  
pp. 257
Author(s):  
Peter Hanlon ◽  
Iona Bryson ◽  
Holly Morrison ◽  
Qasim Rafiq ◽  
Kasey Boehmer ◽  
...  

Introduction: People living with type 2 diabetes undertake a range of tasks to manage their condition, collectively referred to as self-management. Interventions designed to support self-management vary in their content, and efficacy. This systematic review will analyse self-management interventions for type 2 diabetes drawing on theoretical models of patient workload and capacity. Methods and analysis: Five electronic databases (Medline, Embase, CENTRAL, CINAHL and PsycINFO) will be searched from inception to 27th April 2021, supplemented by citation searching and hand-searching of reference lists. Two reviewers will independently review titles, abstracts and full texts. Inclusion criteria include Population: Adults with type 2 diabetes mellitus; Intervention: Randomised controlled trials of self-management support interventions; Comparison: Usual care; Outcomes: HbA1c (primary outcome) health-related quality of life (QOL), medication adherence, self-efficacy, treatment burden, healthcare utilization (e.g. number of appointment, hospital admissions), complications of type 2 diabetes (e.g. nephropathy, retinopathy, neuropathy, macrovascular disease) and mortality; Setting: Community. Study quality will be assessed using the Effective Practice and Organisation of Care (EPOC) risk of bias tool. Interventions will be classified according to the EPOC taxonomy and the PRISMS self-management taxonomy and grouped into similar interventions for analysis. Clinical and methodological heterogeneity will be assessed within subgroups, and random effects meta-analyses performed if appropriate. Otherwise, a narrative synthesis will be performed. Interventions will be graded on their likely impact on patient workload and support for patient capacity. The impact of these theoretical constructs on study outcomes will be explored using meta-regression. Conclusion This review will provide a broad overview of self-management interventions, analysed within the cumulative complexity model theoretical framework. Analyses will explore how the workload associated with self-management, and support for patient capacity, impact on outcomes of self-management interventions. Registration number: PROSPERO CRD42021236980.


2010 ◽  
Vol 7 (2) ◽  
pp. 71-76 ◽  
Author(s):  
E Heinrich ◽  
NC Schaper ◽  
NK de Vries

2020 ◽  
Vol 29 (5) ◽  
pp. 266-272
Author(s):  
Aycan Celik ◽  
Rita Forde ◽  
Jackie Sturt

Background: Online self-management education programmes are now recommended for people with type 2 diabetes to improve self-management capacities. There is limited evidence to determine whether such programmes improve the health outcomes for midlife adults with diabetes. Aims: The purpose of this systematic review was to assess the impact of online self-management interventions with digital consulting on glycated haemoglobin (HbA1c), total cholesterol, blood pressure, diabetes distress, self-efficacy, and depression in midlife adults. Methods: A systematic review was undertaken searching Medline, Embase and CINAHL. Studies were appraised using the Cochrane Collaboration's tool. Results: Eight studies were included. Online interventions resulted in the improvement of HbA1c (pooled mean difference on HbA1c: -0.35%, 95% CI (-0.52, -0.18), P<0.001). A narrative synthesis was conducted for all secondary outcomes. No conclusions could be drawn on the impact of these outcomes. Conclusion: Online interventions improve HbA1c. Further research is needed for secondary outcomes.


Author(s):  
Ana Paula Delgado Bomtempo Batalha ◽  
Isabela Coelho Ponciano ◽  
Gabriela Chaves ◽  
Diogo Carvalho Felício ◽  
Raquel Rodrigues Britto ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e025714 ◽  
Author(s):  
Benard Ayaka Bene ◽  
Siobhan O’Connor ◽  
Nikolaos Mastellos ◽  
Azeem Majeed ◽  
Kayode Philip Fadahunsi ◽  
...  

IntroductionThe emergence of mobile health (mHealth) solutions, particularly mHealth applications (apps), has shown promise in self-management of chronic diseases including type 2 diabetes mellitus (T2DM). While majority of the previous systematic reviews have focused on the effectiveness of mHealth apps in improving treatment outcomes in patients with T2DM, there is a need to also understand how mHealth apps influence self-management of T2DM. This is crucial to ensure improvement in the design and use of mHealth apps for T2DM. This protocol describes how a systematic review will be conducted to determine in which way(s) mHealth apps might impact on self-management of T2DM.MethodsThe following electronic databases will be searched from inception to April 2019: PubMed, MEDLINE, EMBASE, Global Health, PsycINFO, CINAHL, The Cochrane Central Register of Controlled Trials, Scopus, Web of Science, ProQuest Dissertations & Theses Global, Health Management Information Consortium database, Google Scholar and ClinicalTrials.gov. The Cochrane risk of bias tool will be used to assess methodological quality. The primary outcome measures to be assessed will be ‘change in blood glucose’. The secondary outcomes measures will be ‘changes in cardiovascular risk markers’ (including blood pressure, body mass index and blood lipids), and self-management practices. Others will include: health-related quality of life, economic data, social support, harms (eg, death or complications leading to hospital admissions or emergency unit attendances), death from any cause, anxiety or depression and adverse events (eg, hypoglycaemic episodes).Ethics and disseminationThis study will not involve the collection of primary data and will not require ethical approval. The review will be published in a peer-reviewed journal and a one-page summary of the findings will be shared with relevant organisations. Presentation of findings will be made at appropriate conferences.Trial registration numberCRD42017071106.


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