ROSSO-in-praxi-international: Long-Term Effects of Self-Monitoring of Blood Glucose on Glucometabolic Control in Patients with Type 2 Diabetes Mellitus Not Treated with Insulin

Kempf, Kerstin; Tankova, Tsvetalina; Martin, Stéphan

doi:10.1089/dia.2012.0213

Cited by 36 publications

(24 citation statements)

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“…Significant reduction of weight (1.69 kg on average) and of AC evidenced among members of the intervention group is highlighted when we notice that in the control group, there was weight gain -2.3 kg on average. This result corroborates the study about people with DM2 in Germany, in which guidelines related to healthy lifestyle were given for 12 weeks and significant weight reduction was verified only among members of the intervention group (1.9 kg) (22) . In this study, the participants of the intervention group also showed a reduction not statistically significant of some laboratory parameters, such as LDL, total cholesterol, urea and glomerular filtration rate.…”

Section: Discussionsupporting

confidence: 90%

Nursing appointment and cardiometabolic control of diabetics: a randomized clinical trial

et al. 2017

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Objective: to verify the effect of nursing appointment on cardiometabolic profi le of people with Diabetes Mellitus type 2. Method: randomized controlled trial, developed with 134 individuals chosen for two groups: intervention and control. The intervention consisted of three nursing appointments alternated bimonthly, with two phone calls, over fi ve months. The control group received usual care offered by the Health Unit. Data were collected through semi-structured interviews before and after the intervention, in addition to conducting laboratory tests. Results: after the intervention, a signifi cant difference was shown in the amount of glycated hemoglobin (p = 0.006) and in the systolic blood pressure (p = 0.031), which were higher in the control group. Conclusion: besides being low-cost and easy to develop on the monitoring routine of people with diabetes, the intervention performed infl uenced positively the biochemical profi le. Descriptors: Diabetes Mellitus; Nursing; Self-Care. Chronic Disease; Clinical Trial. RESUMO Objetivo: verifi car o efeito da consulta de enfermagem sobre o perfi l cardiometabólico de pessoas com Diabetes Mellitus tipo 2. Método: ensaio clínico controlado e randomizado, desenvolvido com 134 indivíduos sorteados para dois grupos: intervenção e controle. A intervenção consistiu em três consultas de enfermagem bimensais alternadas, com duas ligações telefônicas, ao longo de cinco meses. O grupo-controle recebeu os cuidados habituais oferecidos pela Unidade de Saúde. Os dados foram coletados mediante entrevistas semiestruturadas antes e após a intervenção, além da realização de exames laboratoriais. Resultados: após a intervenção, foi evidenciada diferença signifi cativa no valor da hemoglobina glicada (p=0,006) e da pressão arterial sistólica (p=0,031), que se mostraram mais elevadas no grupo-controle. Conclusão: a intervenção realizada, além de ser de baixo custo e de fácil desenvolvimento na rotina de acompanhamento da pessoa com diabetes, infl uenciou positivamente a melhora do perfi l bioquímico. Descritores: Diabetes Mellitus; Enfermagem; Autocuidado. Doença Crônica; Ensaio Clínico. RESUMEN Objetivo: comprobar el resultado de la consulta de enfermería sobre el perfi l cardiometabólico en personas con Diabetes mellitus tipo 2. Método: ensayo clínico controlado y aleatorizado, en el cual participaron 134 sujetos. Se los dividieron de forma aleatoria en dos grupos: intervención y control. La intervención consistió en tres consultas de enfermería cada dos meses alternados, con dos llamadas, a lo largo de cinco meses. El grupo control recibió los cuidados usuales de la Unidad de Salud. Se recolectaron los datos a través de entrevistas semiestructuradas, antes y después de la intervención, y de análisis de laboratorio. Resultados: después de la intervención, se observaron diferencias signifi cativas en el valor de la hemoglobina glicosilada (p=0,006) y de la presión arterial sistólica (p=0,031), que fueron más elevados en el grupo control. Conclusión: la intervención realizada...

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Section: Discussionsupporting

confidence: 90%

Nursing appointment and cardiometabolic control of diabetics: a randomized clinical trial

et al. 2017

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“…The effect sizes did not differ significantly when studies with cluster randomized designs were included (d + = 1.98 and 0.40 for effects on progress monitoring and goal attainment, respectively) versus excluded (d + = 1.96 and 0.40, respectively), Q(1) = 0.33 and 0.02, p = 0.57 and 0.89. 6 The 20 studies used in the mediation analysis were Akers, Cornett, Savla, Davy, and Davy (2012), Boutelle, Kirschenbaum, Baker, and Mitchell (1999), Chambliss, Huber, Finlay, McDoniel, Kitzman-Ulrich, and Wilkinson (2011), Cussler et al (2008, Duran et al (2010), Gokee-La Rose, Gorin, andWing (2009), Hellerstedt andJeffrey (1997, behavior-focused phone group), Helsel et al (2007), Kempf, Tankova, and Martin (2013), ), Morgan et al (2009), Nguyen, Gill, Wolpin, Steele, and Benditt (2009), Pellegrini et al (2012), Runyan, Steenbergh, Bainbridge, Daugherty, Oke, and Fry (2013, Samuel-Hodge et al (2009), Tate et al (2001, Tan, Maganee, Chee, Lee, andTan (2011), Wang, Sereika, Chasens, Ewing, Matthews, andBurke (2012), Webber, Tate, and Bowling (2008), and Wing, Crane, Thomas, Kumar, and Weinberg (2010) if participants in the comparison condition were also asked to monitor their progress -a methodological feature that led to smaller effect sizes for progress monitoring. 7 For the purposes of this analysis we recomputed the effect size for goal attainment using only the measures for which the primary studies reported the correlation between the frequency of progress monitoring and goal attainment.…”

Section: Footnotesmentioning

confidence: 99%

Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence.

Harkin

Webb

Chang

et al. 2016

Psychological Bulletin

424

229

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Progress monitoring and goal attainment 2 AbstractControl Theory and other frameworks for understanding self-regulation suggest that monitoring goal progress is a crucial process that intervenes between setting and attaining a goal, and helps to ensure that goals are translated into action. However, the impact of progress monitoring interventions on rates of behavioral performance and goal attainment has yet to be quantified. A systematic literature search identified 138 studies (N = 19,951) that randomly allocated participants to an intervention designed to promote monitoring of goal progress versus a control condition. All studies reported the effects of the treatment on Moderation tests revealed that progress monitoring had larger effects on goal attainment when the outcomes were reported or made public, and when the information was physically recorded. Taken together, the findings suggest that monitoring goal progress is an effective self-regulation strategy, and that interventions that increase the frequency of progress monitoring are likely to promote behavior change. The present review investigates the impact of monitoring goal progress on rates of goal attainment. Goals are mental representations of desired outcomes (Austin & Vancouver, 1996) -such as to run a marathon or to be happy -and goal intentions are selfinstructions to act towards those outcomes (Sheeran & Webb, 2011;Triandis, 1980). Goal intentions capture both the nature of the set goal (e.g., the number of exercise sessions that one intends to engage in this week) and how committed one is to attaining it (e.g., the strength of one's intention to exercise five times this week). Intentions are the starting point for the willful control of action (Gollwitzer & Moskowitz, 1996). However, evidence indicates that intentions have only a modest impact on performance. A meta-analysis of 47 experimental studies found that a medium-to-large-sized change in intentions had a smallto-medium-sized effect on subsequent behavior (Webb & Sheeran, 2006). Evidence indicates that people who intend to exercise do not necessarily do so (Rhodes & de Bruijn, 2013), that most people want to be happier than they are (Oishi, Diener, & Lucas, 2007), and that it has become almost as traditional to fail to achieve New Year's resolutions as it is to form them in the first place (Marlatt & Kaplan, 1972;Norcross & Vangarelli, 1988). In short, forming a goal intention is not, on its own, sufficient to ensure goal attainment (for reviews, see Gollwitzer & Sheeran, 2006;Sheeran, Milne, Webb, & Gollwitzer, 2005;Sheeran & Webb, 2011;Webb, 2006). This 'gap' between intention and action (Sheeran, 2002) has led researchers to investigate which factors determine intention-behavior consistency. For instance, properties of intentions such as temporal stability (Cooke & Sheeran, 2004; Sheeran & Abraham, Progress monitoring and goal attainment 4 2003), the extent of actual control over performance (Sheeran, Trafimow, & Armitage, 2003), and the operation of habits (Neal, Wood, Wu...

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“…Self monitoring of blood glucose is well-established as an important component of diabetes management for insulin-treated patients [4] and has also been found to be important in some studies of non-insulin dependent patients [5,6]. Recently, increasing attention has been paid to remote monitoring using telehealth devices, which enable physiological information, including blood glucose, to be sent on regular basis to healthcare professionals working remotely [7].…”

Section: Introductionmentioning

confidence: 99%

Effect of telehealth on glycaemic control: analysis of patients with type 2 diabetes in the Whole Systems Demonstrator cluster randomised trial

Steventon

Bardsley

Doll

et al. 2014

BMC Health Serv Res

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BackgroundThe Whole Systems Demonstrator was a large, pragmatic, cluster randomised trial that compared telehealth with usual care among 3,230 patients with long-term conditions in three areas of England. Telehealth involved the regular transmission of physiological information such as blood glucose to health professionals working remotely. We examined whether telehealth led to changes in glycosylated haemoglobin (HbA1c) among the subset of patients with type 2 diabetes.MethodsThe general practice electronic medical record was used as the source of information on HbA1c. Effects on HbA1c were assessed using a repeated measures model that included all HbA1c readings recorded during the 12-month trial period, and adjusted for differences in HbA1c readings recorded before recruitment. Secondary analysis averaged multiple HbA1c readings recorded for each individual during the trial period.Results513 of the 3,230 participants were identified as having type 2 diabetes and thus were included in the study. Telehealth was associated with lower HbA1c than usual care during the trial period (difference 0.21% or 2.3 mmol/mol, 95% CI, 0.04% to 0.38%, p = 0.013). Among the 457 patients in the secondary analysis, mean HbA1c showed little change for controls following recruitment, but fell for intervention patients from 8.38% to 8.15% (68 to 66 mmol/mol). A higher proportion of intervention patients than controls had HbA1c below the 7.5% (58 mmol/mol) threshold that was targeted by general practices (30.4% vs. 38.0%). This difference, however, did not quite reach statistical significance (adjusted odds ratio 1.63, 95% CI, 0.99 to 2.68, p = 0.053).ConclusionsTelehealth modestly improved glycaemic control in patients with type 2 diabetes over 12 months. The scale of the improvements is consistent with previous meta-analyses, but was relatively modest and seems unlikely to produce significant patient benefit.Trial registration numberInternational Standard Randomized Controlled Trial Number Register ISRCTN43002091.

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ROSSO-in-praxi-international: Long-Term Effects of Self-Monitoring of Blood Glucose on Glucometabolic Control in Patients with Type 2 Diabetes Mellitus Not Treated with Insulin

Abstract: Integration of SMBG into basic therapy of T2DM for monitoring the effect of lifestyle changes improves glucometabolic control and has long-term effects.

Cited by 36 publications

References 11 publications

Nursing appointment and cardiometabolic control of diabetics: a randomized clinical trial

Nursing appointment and cardiometabolic control of diabetics: a randomized clinical trial

Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence.

Effect of telehealth on glycaemic control: analysis of patients with type 2 diabetes in the Whole Systems Demonstrator cluster randomised trial

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