Dataset Information

Behavior change in a lifestyle intervention for type 2 diabetes prevention in Dutch primary care: opportunities for intervention content.

ABSTRACT:

Background

Despite the favorable effects of behavior change interventions on diabetes risk, lifestyle modification is a complicated process. In this study we therefore investigated opportunities for refining a lifestyle intervention for type 2 diabetes prevention, based on participant perceptions of behavior change progress.

Methods

A 30 month intervention was performed in Dutch primary care among high-risk individuals (FINDRISC-score???13) and was compared to usual care. Participant perceptions of behavior change progress for losing weight, dietary modification, and increasing physical activity were assessed after18 months with questionnaires. Based on the response, participants were categorized as 'planners', 'initiators' or 'achievers' and frequencies were evaluated in both study groups. Furthermore, participants reported on barriers for lifestyle change.

Results

In both groups, around 80% of all participants (intervention: N?=?370; usual care: N?=?322) planned change. Except for reducing fat intake (p?=?0.08), the number of initiators was significantly higher in the intervention group than in usual care. The percentage of achievers was high for the dietary and exercise objectives (intervention: 81-95%; usual care: 83-93%), but was lower for losing weight (intervention: 67%; usual care: 62%). Important motivational barriers were 'I already meet the standards' and 'I'm satisfied with my current behavior'. Temptation to snack, product taste and lack of time were important volitional barriers.

Conclusions

The results suggest that the intervention supports participants to bridge the gap between motivation and action. Several opportunities for intervention refinement are however revealed, including more stringent criteria for participant inclusion, tools for (self)-monitoring of health, emphasis on the 'small-step-approach', and more attention for stimulus control.

Trial registration

Netherlands Trial Register: NTR1082.

SUBMITTER: Vermunt PW

PROVIDER: S-EPMC3706294 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature

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Publications

Behavior change in a lifestyle intervention for type 2 diabetes prevention in Dutch primary care: opportunities for intervention content.

Vermunt Paulina W A PW Milder Ivon E J IE Wielaard Frits F Baan Caroline A CA Schelfhout Jos D M JD Westert Gert P GP van Oers Hans A M HA

BMC family practice 20130607

<h4>Background</h4>Despite the favorable effects of behavior change interventions on diabetes risk, lifestyle modification is a complicated process. In this study we therefore investigated opportunities for refining a lifestyle intervention for type 2 diabetes prevention, based on participant perceptions of behavior change progress.<h4>Methods</h4>A 30 month intervention was performed in Dutch primary care among high-risk individuals (FINDRISC-score ≥ 13) and was compared to usual care. Particip ...[more]

PMID: 23758998

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Project description:The Diabetes Prevention Program (DPP) lifestyle intervention reduced the incidence of type 2 diabetes mellitus (DM) among high-risk adults by 58%, with weight loss as the dominant predictor. However, it has not been adequately translated into primary care.We evaluated 2 adapted DPP lifestyle interventions among overweight or obese adults who were recruited from 1 primary care clinic and had pre-DM and/or metabolic syndrome. Participants were randomized to (1) a coach-led group intervention (n = 79), (2) a self-directed DVD intervention (n = 81), or (3) usual care (n = 81). During a 3-month intensive intervention phase, the DPP-based behavioral weight-loss curriculum was delivered by lifestyle coach-led small groups or home-based DVD. During the maintenance phase, participants in both interventions received lifestyle change coaching and support remotely-through secure email within an electronic health record system and the American Heart Association Heart360 website for weight and physical activity goal setting and self-monitoring. The primary outcome was change in body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) from baseline to 15 months.At baseline, participants had a mean (SD) age of 52.9 (10.6) years and a mean BMI of 32.0 (5.4); 47% were female; 78%, non-Hispanic white; and 17%, Asian/Pacific Islander. At month 15, the mean ± SE change in BMI from baseline was -2.2 ± 0.3 in the coach-led group vs -0.9 ± 0.3 in the usual care group (P < .001) and -1.6 ± 0.3 in the self-directed group vs usual care (P = .02). The percentages of participants who achieved the 7% DPP-based weight-loss goal were 37.0% (P = .003) and 35.9% (P = .004) in the coach-led and self-directed groups, respectively, vs 14.4% in the usual care group. Both interventions also achieved greater net improvements in waist circumference and fasting plasma glucose level.Proven effective in a primary care setting, the 2 DPP-based lifestyle interventions are readily scalable and exportable with potential for substantial clinical and public health impact.clinicaltrials.gov Identifier: NCT00842426.

Project description:The efficacy of diabetes genetic risk testing to motivate behavior change for diabetes prevention is currently unknown.This paper presents key issues in the design and implementation of one of the first randomized trials (The Genetic Counseling/Lifestyle Change (GC/LC) Study for Diabetes Prevention) to test whether knowledge of diabetes genetic risk can motivate patients to adopt healthier behaviors.Because individuals may react differently to receiving 'higher' vs 'lower' genetic risk results, we designed a 3-arm parallel group study to separately test the hypotheses that: (1) patients receiving 'higher' diabetes genetic risk results will increase healthy behaviors compared to untested controls, and (2) patients receiving 'lower' diabetes genetic risk results will decrease healthy behaviors compared to untested controls. In this paper we describe several challenges to implementing this study, including: (1) the application of a novel diabetes risk score derived from genetic epidemiology studies to a clinical population, (2) the use of the principle of Mendelian randomization to efficiently exclude 'average' diabetes genetic risk patients from the intervention, and (3) the development of a diabetes genetic risk counseling intervention that maintained the ethical need to motivate behavior change in both 'higher' and 'lower' diabetes genetic risk result recipients.Diabetes genetic risk scores were developed by aggregating the results of 36 diabetes-associated single nucleotide polymorphisms. Relative risk for type 2 diabetes was calculated using Framingham Offspring Study outcomes, grouped by quartiles into 'higher', 'average' (middle two quartiles) and 'lower' genetic risk. From these relative risks, revised absolute risks were estimated using the overall absolute risk for the study group. For study efficiency, we excluded all patients receiving 'average' diabetes risk results from the subsequent intervention. This post-randomization allocation strategy was justified because genotype represents a random allocation of parental alleles ('Mendelian randomization'). Finally, because it would be unethical to discourage participants to participate in diabetes prevention behaviors, we designed our two diabetes genetic risk counseling interventions (for 'higher' and 'lower' result recipients) so that both groups would be motivated despite receiving opposing results.For this initial assessment of the clinical implementation of genetic risk testing we assessed intermediate outcomes of attendance at a 12-week diabetes prevention course and changes in self-reported motivation. If effective, longer term studies with larger sample sizes will be needed to assess whether knowledge of diabetes genetic risk can help patients prevent diabetes.We designed a randomized clinical trial designed to explore the motivational impact of disclosing both higher than average and lower than average genetic risk for type 2 diabetes. This design allowed exploration of both increased risk and false reassurance, and has implications for future studies in translational genomics.

Project description:IntroductionDiabetes and obesity pose a significant burden for the U.S. military beneficiary population, creating a great need to provide evidence-based diabetes and obesity prevention services for military personnel, retirees, and their dependents. Despite increasing dissemination of the Diabetes Prevention Program (DPP) lifestyle intervention nationwide, formal evaluation of implementation of this highly successful program is limited in the military setting. The purpose of this study is to prospectively evaluate delivery of a direct adaptation of a 1-year DPP lifestyle intervention at a U.S. Air Force medical facility, Wright-Patterson Medical Center (WPMC), to determine the feasibility of delivery of the program in a group of at-risk active duty military, retirees, and family members, as well as assess effectiveness in improving weight and other risk factors for type 2 diabetes.Materials and methodsA pre/post study design was utilized to evaluate feasibility and effectiveness of the DPP Group Lifestyle Balance (GLB), an up-to-date, 22-session direct adaptation of the DPP curriculum, at WPMC. Participants chose to complete the 1-year program either in coach-led face-to-face groups or via DVD with weekly telephonic coach contact. The study was approved by the University of Pittsburgh and WPMC Institutional Review Boards.ResultsA total of 99 individuals enrolled in the study, with 83 (84%) and 77 (78%) completing 6- and 12-month follow-up assessments, respectively. The mean age of participants at baseline was 57 (range 20-85 years), with 63% being female. The group was comprised of individuals who were non-Hispanic White (73.7%), non-Hispanic Black (18.2%), and other race or Hispanic ethnicity (8.1%). Within this group, there were 10 active duty military, 37 retirees, and 52 family members. The DPP-GLB program was shown to be feasible to implement in this military healthcare setting as demonstrated by the high engagement over the course of the year-long program. Significant improvements were shown in the two main behavioral goals: mean weight (-12.8 lbs, -6.3%, P < .001) and mean physical activity (PA) (+18.9 Met-hrs/wk, P < .001). In addition, significant improvements in other diabetes and cardiovascular risk factors including low-density lipoprotein cholesterol, fasting insulin, diastolic blood pressure, and waist circumference were noted, as well as improvement in health-related quality of life.ConclusionsThese results demonstrate that the DPP-GLB program delivered via face-to-face groups or DVD was feasible and effective in improving weight, PA levels, and diabetes and cardiovascular risk factors in this group of active and retired military personnel and their family members. The program was well received by the program participants as well as the WPMC team. These findings offer a model for provision of the DPP-GLB program throughout the Military Health System.

Project description:BackgroundAlthough evidence is accumulating that lifestyle modification may be cost-effective in patients with prediabetes, information is limited on the cost-effectiveness of interventions implemented in public health and primary health care settings. Evidence from well-conducted pragmatic trials is needed to gain insight into the realistic cost-effectiveness of diabetes prevention interventions in real-world settings. The aim of this study is to assess the cost-effectiveness of the SLIMMER lifestyle intervention targeted at patients at high risk of developing type 2 diabetes compared with usual health care in a primary care setting in the Netherlands.MethodsThree hundred and sixteen high-risk subjects were randomly assigned to the SLIMMER lifestyle intervention or to usual health care. Costs and outcome assessments were performed at the end of the intervention (12 months) and six months thereafter (18 months). Costs were assessed from a societal perspective. Patients completed questionnaires to assess health care utilisation, participant out-of-pocket costs, and productivity losses. Quality Adjusted Life Years (QALY) were calculated based on the SF-36 questionnaire. Cost-effectiveness planes and acceptability curves were generated using bootstrap analyses.ResultsThe cost-effectiveness analysis showed that the incremental costs of the SLIMMER lifestyle intervention were €547 and that the incremental effect was 0.02 QALY, resulting in an incremental cost-effectiveness ratio (ICER) of €28,094/QALY. When cost-effectiveness was calculated from a health care perspective, the ICER decreased to €13,605/QALY, with a moderate probability of being cost-effective (56% at a willingness to pay, WTP, of €20,000/QALY and 81% at a WTP of €80,000/QALY).ConclusionsThe SLIMMER lifestyle intervention to prevent type 2 diabetes had a low to moderate probability of being cost-effective, depending on the perspective taken.Trial registrationThe SLIMMER study is retrospectively registered with ClinicalTrials.gov (Identifier NCT02094911) since March 19, 2014.

Project description:ObjectiveTo investigate (i) how the SLIMMER intervention was delivered and received in Dutch primary health care and (ii) how this could explain intervention effectiveness.DesignA randomised controlled trial was conducted and subjects were randomly allocated to the intervention (10-month combined dietary and physical activity intervention) or the control group. A process evaluation including quantitative and qualitative methods was conducted. Data on process indicators (recruitment, reach, dose received, acceptability, implementation integrity and applicability) were collected via semi-structured interviews with health-care professionals (n 45) and intervention participant questionnaires (n 155).SettingSLIMMER was implemented in Dutch primary health care in twenty-five general practices, eleven dietitians, nine physiotherapist practices and fifteen sports clubs.SubjectsSubjects at increased risk of developing type 2 diabetes were included.ResultsIt was possible to recruit the intended high-risk population (response rate 54 %) and the SLIMMER intervention was very well received by both participants and health-care professionals (mean acceptability rating of 82 and 80, respectively). The intervention programme was to a large extent implemented as planned and was applicable in Dutch primary health care. Higher dose received and participant acceptability were related to improved health outcomes and dietary behaviour, but not to physical activity behaviour.ConclusionsThe present study showed that it is feasible to implement a diabetes prevention intervention in Dutch primary health care. Higher dose received and participant acceptability were associated with improved health outcomes and dietary behaviour. Using an extensive process evaluation plan to gain insight into how an intervention is delivered and received is a valuable way of identifying intervention components that contribute to implementation integrity and effective prevention of type 2 diabetes in primary health care.

Dataset Information

Behavior change in a lifestyle intervention for type 2 diabetes prevention in Dutch primary care: opportunities for intervention content.

Background

Methods

Results

Conclusions

Trial registration

Publications

Behavior change in a lifestyle intervention for type 2 diabetes prevention in Dutch primary care: opportunities for intervention content.

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