Results 21 to 30 of about 648,403 (339)

Développer les capabilités des patients pour coproduire un soin sûr et efficace

open access: yesActivités, 2018
This article seeks to understand the constructive dynamics of patients’ capabilities in radiotherapy. In this study, “patients’ capabilities” refers to what they are actually able to do in terms of safe and effective care. In particular, we highlight the
Adeline Pernet   +2 more
doaj   +1 more source

A co‐designed framework to support and sustain patient and family engagement in health‐care decision making

open access: yesHealth Expectations, 2020
Background Patient and family engagement in health care has emerged as a critical priority. Understanding engagement, from the perspective of the patient and family member, coupled with an awareness of how patient and family members are motivated to be ...
Tamara L. McCarron   +8 more
doaj   +1 more source

When attitudes and beliefs get in the way of shared decision‐making: A mediation analysis of participation preference

open access: yesHealth Expectations, 2023
Introduction Certain sociodemographic characteristics (e.g., older age) have previously been identified as barriers to patients' participation preference in shared decision‐making (SDM).
Björn Büdenbender   +5 more
doaj   +1 more source

Participation: Power to the patients [PDF]

open access: yesNature, 2016
When data-gathering precision-medicine projects build trust with their users, patients and researchers both benefit.
openaire   +3 more sources

Addressing overuse in emergency medicine: evidence of a role for greater patient engagement [PDF]

open access: yesClinical and Experimental Emergency Medicine, 2017
Overuse of health care refers to tests, treatments, and even health care settings when used in circumstances where they are unlikely to help. Overuse is not only wasteful, it threatens patient safety by exposing patients to a greater chance of harm than ...
Erika H. Newton
doaj   +1 more source

Engagement of community stakeholders to develop a framework to guide research dissemination to communities

open access: yesHealth Expectations, 2020
Background Dissemination of research findings to past study participants and the community‐at‐large is important. Yet, a standardized process for research dissemination is needed to report results to the community.
Jennifer Cunningham‐Erves   +6 more
doaj   +1 more source

Evaluating meaningful impact of Patient and Public Involvement: A Q methodology study among researchers and young people with a chronic condition

open access: yesHealth Expectations, 2022
Introduction Although Patient and Public Involvement (PPI) of young people with a chronic condition (YPCC) is receiving increasing attention, evidence of impact is lacking. This is partly due to inadequate understanding of what meaningful impact entails.
Femke vanSchelven   +2 more
doaj   +1 more source

Patient involvement in guidelines is poor five years after institute of medicine standards: review of guideline methodologies

open access: yesResearch Involvement and Engagement, 2017
Plain English summary The 2011 standards for trustworthy development of healthcare guidelines published by the United States-based Institute of Medicine recommend that guideline developers involve patients and public representatives in the development ...
Melissa J. Armstrong, Joshua A. Bloom
doaj   +1 more source

Preference‐based patient participation for most, if not all: A cross‐sectional study of patient participation amongst persons with end‐stage kidney disease

open access: yesHealth Expectations, 2021
Background Patient participation is considered central for good healthcare. Yet, the concept is not fully understood when it comes to patients' experiences of participation in conjunction with their preferences, particularly in long‐term healthcare.
Caroline Martinsson   +3 more
doaj   +1 more source

Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint [PDF]

open access: yesarXiv, 2023
Clinical trials are indispensable in developing new treatments, but they face obstacles in patient recruitment and retention, hindering the enrollment of necessary participants. To tackle these challenges, deep learning frameworks have been created to match patients to trials.
arxiv  

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