| Literature DB >> 24860666 |
Carl J Brandt1, Vibeke Brandt1, Mathilde Pedersen1, Dorte Glintborg2, Søren Toubro3, Jesper Bo Nielsen1, Gunther Eysenbach4, Kirsten Brandt5, Jens Søndergaard1.
Abstract
Background. Internet-based complex interventions aiming to promote weight loss and optimize healthy behaviors have attracted much attention. However, evidence for effect is lacking. Obesity is a growing problem, resulting in an increasing demand for cost efficient weight loss programs suitable for use on a large scale, for example, as part of standard primary care. In a previous pilot project by Brandt et al. (2011) without a control group, we examined the effects of online dietician counseling and found an average weight loss of 7.0 kg (95% CI: 4.6 to 9.3 kg) after 20 months. Aims and Methods. To analyze the effects of a complex intervention using trained dieticians in a general practice setting combined with internet-based interactive and personalized weight management support compared with conventional advice with a noninteractive internet support as placebo treatment in 340 overweight patients during a 2-year period. Primary endpoints are weight loss and lowering of cholesterol (LDL). We will also explore patients' sociodemographics and use of the intervention as well as the health professionals' views and perceptions of the intervention (their role and the advice and support that they provide). Perspective. The project will generate knowledge on the cost-effectiveness of a complex internet-based intervention in a general practice setting and on barriers and acceptability among professionals and patients.Entities:
Year: 2014 PMID: 24860666 PMCID: PMC4016832 DOI: 10.1155/2014/245347
Source DB: PubMed Journal: Int J Family Med ISSN: 2090-2050
Figure 1Flowchart for patients.
Figure 2Consultation schedules in the intervention group.
Example of organizational outcome measures from the MAST model.
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| Changes in distribution of work (working hours spent) between the professions involved (task shifting) |
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| Changes in staff requirements (reduction or increase of working hours) for each profession involved |
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| Time spent by members of staff on training in order to learn to apply telemedicine devices |
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| Changes in hours spent on various procedures in clinical pathways, measured for each relevant profession |
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| Amount of electronic communication |
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| Changes in information and reporting system |
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| Changes in number of face-to-face patient consultations |
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| Changes in the way medical staff communicate |
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| Changes in the way the medical staff work together (generalists/specialists, doctors/nurses, etc.) |
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| Changes in the number of units offering treatment |
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| Number of organisational units set up especially for telemedicine (if any) |
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| Changes in the organisation of generalist and specialist tasks |
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| Changes in geographical spread |
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| Time spent on travel, staff |
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| Time spent on travel, patients |
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| Staff attitudes towards telemedicine applications |
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| Staff experience with the use of telemedicine applications |