6 research outputs found

    eHealth WhatsApp Group for Social Support: Preliminary Results

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    Within groups that are starting a healthy lifestyle intervention together, there is potential for social e-support, as an addition to individual coaching. However, the support technology should be low-tech, low- threshold and preferably already omnipresent. A WhatsApp group was chosen as support tool, given the large variety of groups normally coached: from elderly, IT-phobic diabetics to highly educated young professionals. In this explorative pilot study, 11 young professionals volunteered. Despite their time-constrained schedules, 81 user inputs were generated in the first weeks, and the users valued the WhatsApp group as an attractive social support addition to the existing eTools and personal coaching which have a more functional focus on individual progress. Based on preliminary results: a) the WhatsApp group generated higher participation than most other social media, b) deploying social media use motives, c) possibly due to the relatively high ‘presence’ and ‘engagement’ attributes of WhatsApp, and d) contributing to healthy behaviours and health advocacy

    Health 2050: Bioinformatics for Rapid Self-Repair; A Design Analysis for Future Quantified Self

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    About 75% of our healthcare costs go to four domains (cardio-, onco-, neuro- and metabolic) of diseases which are largely preventable or even reversible. Instead, they are ‘managed’ and made chronic, not cured. This is very costly and unsustainable for the future. Research is showing new opportunities for enhancing our body’s self-repair in a matter of hours or days. We want to empower personal cure with rapid feedback for self-management. What could be an interventionand bio-feedback portfolio to promote health self-repair within hours or days? Using a cross-case design analysis, we found large differences across the four health domains regarding: intervention aims, (self-)measurement options, focus on symptoms vs causes, plus degree of attention for health selfmanagement. Given recent developments in rapid cure, we advise advanced daily bioinformatics feedback, instead of current quarterly cycles, to improve our self-repair effectiveness

    Intensive Lifestyle (e)Support to Reverse Diabetes-2

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    Advanced diabetes-type-2 patients often have high insulin resistance. Over the years their insulin medication rises, which further increases their insulin resistance and glucose management problems. A HINTc (High Intensity Nutrition, Training & coaching) pilot study was conducted with 11 insulin-dependent patients. Hybrid eHealth support was given, with electronic support plus a multi-disciplinary health support team. Based on preliminary 12 week results, attractiveness and feasibility of the intervention were high: recommendation 9,0 out of 10 and satisfaction 9,1 out of 10. TAM (Technology Acceptance Model) surveys showed high usefulness, feasibility and intentions for future use. Acceptance and health behaviours were also reinforced by the rapid results (average 9% weight loss, 20% lower fasting glucose and 71% lower insulin medication, plus a 46% increase on the Quality of Life Physical Health dimension). Our analysis supports three types of conclusions. First, patients’ health literacy and quality of life improved strongly, both supporting healthier behaviours. Second, a virtuous cycle was started, helping patients reverse diabetes-2 progression. Third, a design analysis was conducted regarding service mix efficacy in relation to key requirements for designing ICT-enabled lifestyle interventions

    Diabetes Lifestyle (e)Coaching 50 Weeks Follow Up; Technology Acceptance & e-Relationships

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    We report on the 50 weeks follow up results from a healthy lifestyle pilot (High Intensity Nutrition, Training & coaching), conducted with 11 insulin-dependent Type 2 Diabetes Mellites (DM2) patients. Hybrid eHealth support was given, with electronic support plus a multi-disciplinary health support team. Regarding the pilot goal of long term healthy lifestyle adoption in senior DM2 patients, challenges were: low ICT- and health literacy. This exploratory design analysis formulates design lessons based on 50 weeks follow up. The first 12 weeks contained intensive face-to-face and eSupported coaching. After that, patient self- management and eTools were key. After 50 weeks, attractiveness and feasibility of the intervention were perceived as high: recommendation 9,5 out of 10 and satisfaction 9,6 out of 10. TAM (Technology Acceptance Model) surveys showed high usefulness and feasibility. Acceptance and health behaviours were reinforced by the prolonged health results: Aerobic and strength capacity levels were improved at 50 weeks, plus Health Related Quality of Life (and biometric benefits and medication reductions, reported elsewhere). We draw three types of conclusions. First, patients’ health literacy and quality of life improved strongly, which both supported healthy behaviours, even after 50 weeks. Second, regarding eHealth theory, iterative growth cycles are beneficial for long term adoption and e-relationships. Third, a design analysis was conducted regarding long term service mix efficacy in relation to key requirements for designing ICT-enabled lifestyle interventions. Several suggestions for long term lifestyle eSupport are given

    Information Management in Supply Chain Partnering: Improving Maintenance Processes in Dutch Housing Associations

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    From the article: "Abstract Maintenance processes of Dutch housing associations are often still organized in a traditional manner. Contracts are based on lowest price instead of ‘best quality for lowest price’ considering users’ demands. Dutch housing associations acknowledge the need to improve their maintenance processes in order to lower maintenance cost, but are not sure how. In this research, this problem is addressed by investigating different supply chain partnering principles and the role of information management. The main question is “How can the organisation of maintenance processes of Dutch housing associations, in different supply chain partnering principles and the related information management, be improved?” The answer is sought through case study research.
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