Prioritising prevention: Implementation of IGT Care Call, a telephone based service for people at risk of developing type 2 diabetes

Savas, Linda; Grady, Katherine; Cotterill, Sarah; Summers, L. K. M.; Boaden, Ruth; Gibson, J. M.

doi:10.1016/j.pcd.2014.07.003

Cited by 9 publications

(11 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Follow-up or maintenance period durations varied by study, ranging from 12 to 48 months after baseline measurements. Some cohorts followed their core interventions with less intensive and/or optional maintenance interventions [21,22,24,27,33], while others included follow-up measurements without postcore maintenance interventions [23,25,34,35]. The relationship between follow-up time and weight change was mixed, with some shorter time frames observing a larger change, and some longer time frames observing a smaller change.…”

Section: Resultsmentioning

confidence: 99%

The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis

Bian¹,

Piatt²,

Sen³

et al. 2017

J Med Internet Res

View full text Add to dashboard Cite

BackgroundLifestyle interventions targeting weight loss, such as those delivered through the Diabetes Prevention Program, reduce the risk of developing type 2 diabetes. Technology-mediated interventions may be an option to help overcome barriers to program delivery, and to disseminate diabetes prevention programs on a larger scale.ObjectiveWe conducted a meta-analysis to evaluate the effect of such technology-mediated interventions on weight loss.MethodsIn this meta-analysis, six databases were searched to identify studies reporting weight change that used technology to mediate diet and exercise interventions, and targeted individuals at high risk for developing type 2 diabetes. Studies published between January 1, 2002 and August 4, 2016 were included.ResultsThe search identified 1196 citations. Of those, 15 studies met the inclusion criteria and evaluated 18 technology-mediated intervention arms delivered to a total of 2774 participants. Study duration ranged from 12 weeks to 2 years. A random-effects meta-analysis showed a pooled weight loss effect of 3.76 kilograms (95% CI 2.8-4.7; P<.001) for the interventions. Several studies also reported improved glycemic control following the intervention. The small sample sizes and heterogeneity of the trials precluded an evaluation of which technology-mediated intervention method was most efficacious.ConclusionsTechnology-mediated diabetes prevention programs can result in clinically significant amounts of weight loss, as well as improvements in glycaemia in patients with prediabetes. Due to their potential for large-scale implementation, these interventions will play an important role in the dissemination of diabetes prevention programs.

show abstract

Section: Resultsmentioning

confidence: 99%

The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis

Bian¹,

Piatt²,

Sen³

et al. 2017

J Med Internet Res

View full text Add to dashboard Cite

show abstract

“…In Salford, UK we have a lifestyle change programme called Care Call (http://www.srft.nhs.uk/ EasysiteWeb/getresource.axd?AssetID=119162&type= full&servicetype=Inline) [6]. This is a non-face-to-face telephone-based modular intervention programme, which has been proven to benefit people with impaired glucose regulation [7].…”

Section: Introductionmentioning

confidence: 99%

Lifestyle intervention in individuals with impaired glucose regulation affects Caveolin-1 expression and DNA methylation

et al. 2020

View full text Add to dashboard Cite

Aims: We investigated whether a lifestyle intervention could influence expression and DNA methylation of diabetes-related genes in patients with impaired glucose regulation (IGR), the results were compared to bariatric surgery, considering it an intensive change. Methods: Twenty participants with IGR had adipose tissue biopsy and blood collected pre-and post-lifestyle (6 months) intervention; 12 obese patients had subcutaneous fat taken before and after bariatric surgery. RNA/DNA was extracted from all samples and underwent qPCR. DNA was bisulphite converted and 12 CpG sites of Caveolin-1 (CAV1) promoter were pyrosequenced. Results: lifestyle intervention resulted in opposite direction changes in fat tissue and blood for CAV1 expression and DNA methylation and these changes were correlated between tissues, while no significative differences were found in CAV1 expression after bariatric surgery. Conclusions: Our findings suggest a role for CAV1 in modulating adipocyte function as a consequence of lifestyle changes, as exercises and diet. These results may provide insights into new therapeutic targets for diabetes prevention. ARTICLE HISTORY

show abstract

“…However, some suggested programs offered in primary care may require more evidence [66]. A major concern for such programs would be replicating the results of successful interventions [14, 16, 67, 68] with limited resources which is an important area of research and policy [58, 66, 69, 70]. Diabetes prevention programs have a focus on lifestyle improvements which are “notoriously difficult to achieve and sustain,” especially those involving weight loss and exercise [70] (p.7).…”

Section: Discussionmentioning

confidence: 99%

A narrative systematic review of factors affecting diabetes prevention in primary care settings

et al. 2017

View full text Add to dashboard Cite

BackgroundType 2 diabetes is impacting millions of people globally; however, many future cases can be prevented through lifestyle changes and interventions. Primary care is an important setting for diabetes prevention, for at-risk populations, because it is a patient’s primary point of contact with the health care system and professionals can provide lifestyle counselling and support, as well as monitoring health outcomes. These are all essential elements for diabetes prevention for at-risk adults.AimTo understand the factors related to the delivery and uptake of type 2 diabetes prevention interventions within primary care in higher income countries.MethodsFor this narrative systematic review, we combined qualitative and quantitative studies of diabetes prevention within a primary care setting for patients at-risk of developing the condition. We used an iterative approach for evidence collection, which included using several databases (MEDLINE, Embase, Pysch info, BNI, SSCI, CINAHL, ASSIA), where we combined diabetes terms with primary care terms. Narrative and thematic synthesis were utilised to identify the prominent themes emerging from the data.ResultsA database of 6646 records was screened by the research team, and 18 papers were included. Three major themes were identified in this review. The first theme of context and setting of diabetes progression includes the risk and progression of diabetes, primary care as a setting, and where the responsibility for change is thought to lie. This review also found mixed views on the value of preventative services within primary care. The second theme focused on the various patient factors associated with diabetes prevention such as a patient’s motivation to modify their current lifestyle, perceptions and knowledge (or lack thereof) of the impacts of diabetes, lack of follow-up in healthcare settings, and trust in healthcare professionals. The third theme was centred on professional factors impacting on diabetes prevention which included workload, time constraints, resources, self-efficacy and knowledge as well as professionals’ perception of patient motivations towards change.ConclusionThis review explored the factors influencing diabetes prevention in primary care, and identified the context of prevention, as well as patient and professional factors related to preventative services being offered in primary care. This systematic review complements previous reviews of real-world settings by exploring the significant factors in prevention, and the findings are relevant to academics, policymakers, patients and practitioners interested in understanding the factors associated with the delivery and uptake of diabetes prevention interventions.

show abstract

Prioritising prevention: Implementation of IGT Care Call, a telephone based service for people at risk of developing type 2 diabetes

Cited by 9 publications

References 12 publications

The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis

The Effect of Technology-Mediated Diabetes Prevention Interventions on Weight: A Meta-Analysis

Lifestyle intervention in individuals with impaired glucose regulation affects Caveolin-1 expression and DNA methylation

A narrative systematic review of factors affecting diabetes prevention in primary care settings

Contact Info

Product

Resources

About