7 research outputs found

    Breaking barriers, personalizing pathways: psychological health and self-management of people with chronic kidney disease

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    For people with chronic kidney disease (CKD), adhering to a range of self-management tasks—such as healthy eating, frequent physical activity, and non-smoking—is crucial. However, changing health behaviors is difficult. To support patients in doing so, an eHealth care pathway was developed and evaluated. The results provide different insights into patients' priorities and care needs. Many individuals with CKD experience problems in self-management, which can be hindered by many different barriers of which a common one is psychological distress. Therefore, personalized interventions are needed with screening and treatment of both psychological distress and suboptimal self-management, tailored to the specific barriers and needs of the individual patient. The E-GOAL eHealth care pathway is an example of such a personalized intervention, combining cognitive behavioral therapy with self-management support. Patients were enthusiastic about the eHealth care pathway. However, in a randomized study, the intervention was not effective in reducing psychological distress compared with regular care only. Patients did experience improvements in areas of functioning and self-management that they prioritized themselves. These mixed results show that interventions could be implemented that are person-tailored, with personalized outcomes that reflect individually meaningful treatment goals and improvements for every patient.</p

    eHealth to Improve Psychological Functioning and Self-Management of People With Chronic Kidney Disease: A Randomized Controlled Trial

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    Objective Psychological distress is common among patients with chronic kidney disease and can interfere with disease self-management. We assessed the effectiveness of the personalized E-GOAL electronic health care pathway with screening and cognitive-behavioral therapy including self-management support, aimed to treat psychological distress and facilitate self-management among people with chronic kidney disease not on dialysis (N = 121). Methods Primary outcome of the open two-arm parallel randomized controlled trial in four Dutch hospitals was psychological distress at posttest directly after the intervention and at 3-month follow-up. Secondary outcomes were physical and mental health-related quality of life, self-efficacy, chronic disease self-management, and personalized outcomes, that is, perceived progress compared with the previous time point on functioning (e.g., mood or social functioning) and self-management (e.g., dietary or medication adherence) outcomes that were prioritized by each individual. Results Linear mixed-effects analyses showed no significant time-by-group interaction effects for psychological distress, health-related quality of life, self-efficacy, and chronic condition self-management, whereas analyses of covariance showed significantly more perceived progress in the intervention group at posttest on personally prioritized areas of functioning (b = 0.46, 95% confidence interval = 0.07-0.85) and self-management (b = 0.55, 95% confidence interval = 0.16-0.95), with Cohen d values of 0.46 and 0.54 (medium effects), respectively. Effects on personalized outcomes were maintained at follow-up. Conclusions Compared with regular care only, the electronic health intervention did not reduce psychological distress, whereas personalized outcomes did improve significantly after intervention. Future studies could consider personalized outcomes that reflect individually relevant areas and treatment goals, matching person-tailored treatments.</p

    Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

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    From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions. © Copyright
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