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Jose M Valderas

Researcher at University of Exeter

Publications -  240
Citations -  14204

Jose M Valderas is an academic researcher from University of Exeter. The author has contributed to research in topics: Health care & Population. The author has an hindex of 48, co-authored 213 publications receiving 11493 citations. Previous affiliations of Jose M Valderas include University of Oxford & London School of Economics and Political Science.

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Relationship Between Depression and the Use of Mobile Technologies and Social Media Among Adolescents: Umbrella Review

TL;DR: Excessive social comparison and personal involvement when using MTSM could be associated with the development of depressive symptomatology, and M TSM might promote social support and even become a point of assistance for people with depression.
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Impact of the Prevalence of Concordant and Discordant Conditions on the Quality of Diabetes Care in Family Practices in England.

TL;DR: The quality of diabetes care provided in English family practices is associated with the prevalence of other major chronic conditions at the practice level, and the nature and direction of the observed associations cannot be fully explained by the concordant-discordant model.
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Patient-Reported Measures for Person-Centered Coordinated Care: A Comparative Domain Map and Web-Based Compendium for Supporting Policy Development and Implementation

TL;DR: A detailed compendium of P3C-PRMs has been developed using a pragmatic systematic approach supported by stakeholder engagement, thereby providing evidence of their content validity as outcome measures for new models of care.
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Developing a patient safety incident classification system for primary care. A literature review and Delphi-survey by the LINNEAUS collaboration on patient safety in primary care.

TL;DR: A classification system providing a mechanism for classifying patient safety incidents across Europe, taking into account the varying organizational arrangements that exist for primary care is developed, which takes into account organizational processes and outcomes related to patientSafety incidents and can supplement existing classification systems.