Self-Management Education and Support

Sherifali, Diana; Berard, Lori; Gucciardi, Enza; Macdonald, Barbara; Macneill, Gail

doi:10.1016/j.jcjd.2017.10.006

Cited by 83 publications

(87 citation statements)

References 89 publications

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“…Various demographic, medical, motivational and behavioral factors can influence type 2 diabetes self-management. 29–31 Therefore, it is necessary to understand the underlying mechanism of tailoring for patients with type 2 diabetes. To our knowledge, no existing reviews of mobile text messaging in the area of type 2 diabetes management have focused on tailored interventions and synthesizing the evidence for the optimal tailoring strategies, message design and delivery features in these interventions.…”

Section: Introductionmentioning

confidence: 99%

Tailored mobile text messaging interventions targeting type 2 diabetes self-management: A systematic review and a meta-analysis

et al. 2019

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Objectives This study aimed to identify, assess and summarize available scientiﬁc evidence on tailored text messaging interventions focused on type 2 diabetes self-management. The systematic review concentrated on message design and delivery features, and tailoring strategies. The meta-analysis assessed the moderators of the effectiveness of tailored text messaging interventions. Methods A comprehensive search strategy included major electronic databases, key journal searches and reference list searching for related studies. PRISMA and Cochrane Collaboration's guidelines and recommended tools for data extraction, quality appraisal and data analysis were followed. Data were extracted on participant characteristics (age, gender, ethnicity), and interventional and methodological characteristics (study design, study setting, study length, choice of modality, comparison group, message type, format, content, use of interactivity, message frequency, message timing, message delivery, tailoring strategies and theory use). Outcome measures included diet, physical activity, medication adherence and glycated hemoglobin data (HbA1C). Where possible, a random effects meta-analysis was performed to pool data on the effectiveness of the tailored text messaging interventions and moderator variables. Results The search returned 13 eligible trials for the systematic review and 11 eligible trials for the meta-analysis. The majority of the studies were randomized controlled trials, conducted in high-income settings, used multi-modalities, and mostly delivered informative, educational messages through an automated message delivery system. Tailored text messaging interventions produced a substantial effect ( g = 0.54, 95% CI = 0.08–0.99, p < 0.001) on HbA1C values for a total of 949 patients. Subgroup analyses revealed the importance of some moderators such as message delivery ( Q B = 18.72, df = 1, p = 0.001), message direction ( Q B = 5.26, df = 1, p = 0.022), message frequency ( Q B = 18.72, df = 1, p = 0.000) and using multi-modalities ( Q B = 6.18, df = 1, p = 0.013). Conclusions Tailored mobile text messaging interventions can improve glycemic control in type 2 diabetes patients. However, more rigorous interventions with larger samples and longer follow-ups are required to confirm these findings and explore the effects of tailored text messaging on other self-management outcomes.

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Section: Introductionmentioning

confidence: 99%

Tailored mobile text messaging interventions targeting type 2 diabetes self-management: A systematic review and a meta-analysis

et al. 2019

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“…Thus, the US National Standards for Diabetes Self-Management Education and Support Task Force emphasizes their importance 17 in self-management education (SME), to achieve better control of glycated hemoglobin (HbA1c) levels and reduce macrovascular complications of DM. 18…”

Section: Introductionmentioning

confidence: 99%

Predictors of 30-day unplanned hospital readmission among adult patients with diabetes mellitus: a systematic review with meta-analysis

Soh

Wong

Mukhopadhyay

et al. 2020

BMJ Open Diab Res Care

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Adult patients with diabetes mellitus (DM) represent one-fifth of all 30-day unplanned hospital readmissions but some may be preventable through continuity of care with better DM self-management. We aim to synthesize evidence concerning the association between 30-day unplanned hospital readmission and patient-related factors, insurance status, treatment and comorbidities in adult patients with DM. We searched full-text English language articles in three electronic databases (MEDLINE, Embase and CINAHL) without confining to a particular publication period or geographical area. Prospective and retrospective cohort and case–control studies which identified significant risk factors of 30-day unplanned hospital readmission were included, while interventional studies were excluded. The study participants were aged ≥18 years with either type 1 or 2 DM. The random effects model was used to quantify the overall effect of each factor. Twenty-three studies published between 1998 and 2018 met the selection criteria and 18 provided information for the meta-analysis. The data were collected within a period ranging from 1 to 15 years. Although patient-related factors such as age, gender and race were identified, comorbidities such as heart failure (OR=1.81, 95% CI 1.67 to 1.96) and renal disease (OR=1.69, 95% CI 1.34 to 2.12), as well as insulin therapy (OR=1.45, 95% CI 1.24 to 1.71) and insurance status (OR=1.41, 95% CI 1.22 to 1.63) were stronger predictors of 30-day unplanned hospital readmission. The findings may be used to target DM self-management education at vulnerable groups based on comorbidities, insurance type, and insulin therapy.

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“…While DSME has been shown to produce improvements in patients' clinical and psychosocial outcomes, these benefits are typically short‐term and begin to diminish after 6 months . To sustain the benefits from DSME, patients must receive ongoing support . Given the increasing prevalence of diabetes, the constraints on financial, human, and health care resources for diabetes management, and the need for ongoing support for patients with type 2 diabetes (T2DM), efficient and low‐cost interventions for these patients warrant exploration .…”

Section: Introductionmentioning

confidence: 99%

Peer support interventions in type 2 diabetes: Review of components and process outcomes

Afshar

Tang

Askari

et al. 2019

Journal of Diabetes

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Background This review seeks to identify (a) the various components and process outcomes of type 2 diabetes peer support (PS) interventions and (b) the measures implemented to monitor intervention fidelity and evaluate outcomes in these studies. Methods The MEDLINE, PubMed, EMBASE (Excerpta Medica Database), CENTRAL (Cochrane Central Register of Controlled Trials), CINAHL (Cumulative Index to Nursing and Allied Health Literature), and PsycINFO databases were searched from inception to May 2019. Two reviewers independently screened and extracted data from eligible articles via the Template for Intervention Description and Replication (TIDieR) checklist (why, what, who provided, how, where, when and how much, tailoring, modifications, and how well). Results Twenty‐three trials were included. The total number of participants was 7178. Most interventions were in primary care. Although face‐to‐face was the most common modality of contact, rates of contact were highest for telephone. Potential peer leaders (PLs) were identified primarily through recommendations from health professionals, based on their communication skills, glycosylated hemoglobin (HbA1c), and coaching interest. PLs were mostly female, university educated, and had a long history of diabetes (≥ 10 years). PL training varied significantly in length and content; the two most frequent topics were communication skills and diabetes knowledge. Although several studies implemented methods to evaluate “intervention fidelity,” only few rigorously assessed the two key components of fidelity, “adherence” and “competence,” through audio‐ and video‐taping or direct observations. Conclusions The impact of PS on participants' health outcomes is well investigated; however, the implementation and evaluation strategies vary significantly across these studies. In the present review, we define the various components of PS interventions and propose suggestions for enhancing the implementation and evaluation of future PS models.

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Self-Management Education and Support

Cited by 83 publications

References 89 publications

Tailored mobile text messaging interventions targeting type 2 diabetes self-management: A systematic review and a meta-analysis

Tailored mobile text messaging interventions targeting type 2 diabetes self-management: A systematic review and a meta-analysis

Predictors of 30-day unplanned hospital readmission among adult patients with diabetes mellitus: a systematic review with meta-analysis

Peer support interventions in type 2 diabetes: Review of components and process outcomes

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