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ed effects are rather small or were identified under specific experimental conditions. CONCLUSIONS Patient narratives seem to be a promising means to support users in improving their understanding of certain health conditions and possibly to provide emotional support and have an impact on behavioral changes. There is limited evidence for beneficial effects on some outcomes. However, narratives are characterized by considerable heterogeneity and the investigated outcomes are hardly comparable with each other, which makes the overall judgment difficult. As there are numerous possible measures and purposes of narratives, quantifying the impact of Web-based patient narratives remains a challenge. Future research is needed to define the optimal standards for quantitative approaches to narrative-based interventions. ©Daniel Drewniak, Andrea Glässel, Martina Hodel, Nikola Biller-Andorno. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 26.03.2020.BACKGROUND Insurance organizations are essential stakeholders in health care ecosystems. For addressing future health care needs, insurance companies require access to health data to deliver preventative and proactive digital health services to customers. However, extant research is limited in examining the conditions that incentivize health data sharing. OBJECTIVE This study aimed to (1) identify the expectations of insurance customers when sharing health data, (2) determine the perceived intrinsic value of health data, and (3) explore the conditions that aid in incentivizing health data sharing in the relationship between an insurance organization and its customer. METHODS A Web-based survey was distributed to randomly selected customers from a Finnish insurance organization through email. A single open-text answer was used for a qualitative data analysis through inductive coding, followed by a thematic analysis. Furthermore, the 4 constructs of commitment, power, reciprocity, and trust from the social exchndra Grundstrom, Olli Korhonen, Karin Väyrynen, Minna Isomursu. Originally published in JMIR Medical Informatics (http//medinform.jmir.org), 26.03.2020.BACKGROUND AND OBJECTIVE Research on the factors contributing to multiple sclerosis (MS) related fatigue are far from conclusive. Some studies put forward that clinical aspects of the disease give rise to this symptom whilst others emphasize the effects of psychological factors on its etiology. This study investigated the relationship between clinical aspects of MS and personality with MS fatigue. METHOD A total of 201 participants with MS of which 48 (23.9%) males and 153 (76.1%) females took part in this online study. Questionnaires were populated measuring clinical features of the disease (disease duration, type of MS, Expanded Disability Status Scale – EDSS), personality traits, and MS-related fatigue. Data was analyzed by hierarchical regression analyses. RESULTS Personality traits accounted for a greater variance in MS fatigue (R² = .482, p  less then  .01) than clinical aspects of the disease, these results were conclusive after controlling for the sociodemographic variables and depression. Temperament explained in total 10.5% variance of fatigue and character an additional 4.0 %. High Harm avoidance (HA) (β = .229, p  less then  .01) and low Self-directedness (SD) (β = -.217, p  less then  .01) directly predicted fatigue. Also, temperament was shown to indirectly affect fatigue, through character. High HA and high Novelty-seeking (NS) through low SD predicted fatigue. The association between clinical features and fatigue was not observed unless paired with personality traits. EDSS in conjunction with HA and Secondary – progressive MS (SPMS) coupled with SD negatively affected fatigue levels. CONCLUSION Personality traits directly and indirectly predicted MS-related fatigue. Furthermore, the impact of clinical indicators of disease on fatigue would not be observed unless these features occurred together with particular personality traits. In this study, the use of switchable hydrophilicity solvent with a simple and low-cost lab-made device for the extraction procedure in homogeneous liquid-liquid microextraction is proposed for the first time in the determination of antidepressants in human urine. The antidepressants studied consisted of fluoxetine, amitriptyline, nortriptyline, imipramine, desipramine and sertraline. The optimization of the main parameters that can influence on the extraction efficiency was performed through multivariate approaches. The analytes were separated and identified by gas chromatography coupled to mass spectrometry (GC-MS). The optimal extraction conditions consisted of using N,N-dimethylcyclohexylamine (DMCHA) as the switchable hydrophilicity solvent (SHS), 500 µL of urine sample previously diluted with ultrapure water at 11 ratio (v/v), 200 μL of a mixture of SHSHCl 6 mol L-1 (11 v/v), 600 μL of NaOH 10 mol L-1 and 3 min of extraction time. A volume of 40 µL of diphenylamine at concentration of 500 µg L-1 (20 ng) was used as internal standard. The method developed was in-house validated, providing coefficients of determination higher than 0.995 for all analytes, limits of detection (LOD) from 0.02 to 0.88 µg L-1, limits of quantification (LOQ) from 0.05 to 2.92 µg L-1, relative recoveries of 68 to 102%, intra-day precision from 0.5 to 15.9%, inter-day precision from 4.2 to 19.3%, selectivity and robustness. The method proposed was successfully applied in five human urine samples from a Toxicological Information Center located in Porto Alegre (Brazil). The results demonstrated that the µP-SHS-HLLME approach is highly cost-effective, rapid, simple and environmentally-friendly with satisfactory analytical performance. learn more V.Human genetics studies have uncovered genetic variants that can be used to guide biological research and prioritize molecular targets for therapeutic intervention for complex diseases. We have identified a missense variant (P746S) in EDEM3 associated with lower blood triglyceride (TG) levels in >300,000 individuals. Functional analyses in cell and mouse models show that EDEM3 deficiency strongly increased the uptake of very-low-density lipoprotein and thereby reduced the plasma TG level, as a result of up-regulated expression of LRP1 receptor. We demonstrate that EDEM3 deletion up-regulated the pathways for RNA and endoplasmic reticulum protein processing and transport, and consequently increased the cell surface mannose-containing glycoproteins, including LRP1. Metabolomics analyses reveal a cellular TG accumulation under EDEM3 deficiency, a profile consistent with individuals carrying EDEM3 P746S. Our study identifies EDEM3 as a regulator of blood TG, and targeted inhibition of EDEM3 may provide a complementary approach for lowering elevated blood TG concentrations.