Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Patient and Family Advisory Councils (PFACs), comprised of patients who have used the hospital's services and their family members, provide hospitals with input on a wide range of initiatives. This qualitative study aims to uncover the facilitators that accelerate and the barriers that inhibit councils and provide hospitals with a blueprint to help them start and strengthen PFACs. Grounded in partnership theory, this exploratory qualitative study used a thematic analysis framework to examine first-person accounts of launching and sustaining a PFAC. The sampling was derived from three groups of potential participants. Participants from 20 hospitals and systems agreed to discuss their councils. Five key themes emerged from the interviews: The PFAC landscape improved after the pandemic, garnering support across the organization is necessary, recruiting ideal members and diversifying the council is critical, effective PFAC operation takes planning, and process and outcome measures can identify the impact and the value of PFACs. Evidence supports patient engagement through PFAC partnerships. However, to ensure a thriving PFAC, the councils require intentional design, diverse participation representing hospital demographics, broad organizational commitment, and systematic evaluation to ensure sustainability and meaningful impact on patient experience and care delivery.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12402559PMC
http://dx.doi.org/10.1177/23743735251367662DOI Listing

Publication Analysis

Top Keywords

qualitative study
12
patient family
8
family advisory
8
provide hospitals
8
pfac
5
hospital patient
4
advisory council
4
council accelerators
4
accelerators barriers
4
barriers qualitative
4

Similar Publications

Importance: Advances in diagnostics have enabled the detection of more gastrointestinal pathogens, but misuse of diagnostics can lead to inappropriate antibiotic use and excess financial burdens. Ensuring appropriate use of diagnostics is crucial for optimizing patient care and promoting stewardship of health care resources.

Objective: To elicit parents' and clinicians' perspectives on expectations for care of pediatric diarrhea with a focus on diagnostic testing and to evaluate the potential for an electronic clinical decision support tool (ECDST) to improve appropriate use of diagnostics.

View Article and Find Full Text PDF

Purpose: CDKL5 deficiency disorder (CDD) is a rare developmental and epileptic encephalopathy. Greater understanding of the smallest meaningful improvements for individuals with CDD in clinical trials and practice is needed for a person-centred approach to treatment efficacy. This study explored how parent/caregivers of people with CDD understood meaningful improvements and described change for priority functional domains including communication, gross motor, fine motor, feeding.

View Article and Find Full Text PDF

Background: Migraine care is often suboptimal owing to undertreatment, variation in clinical outcomes and administration methods among existing treatments, and between- and within-individual heterogeneity in the clinical course of migraine. In response to these challenges, preference studies have been increasingly conducted to inform treatment decision-making and development. However, gaps remain in understanding how treatment preferences have been assessed across different migraine studies.

View Article and Find Full Text PDF

The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.

View Article and Find Full Text PDF

In this article, a biophysically realistic model of a soft octopus arm with internal musculature is presented. The modeling is motivated by experimental observations of sensorimotor control where an arm localizes and reaches a target. Major contributions of this article are: (i) development of models to capture the mechanical properties of arm musculature, the electrical properties of the arm peripheral nervous system (PNS), and the coupling of PNS with muscular contractions; (ii) modeling the arm sensory system, including chemosensing and proprioception; and (iii) algorithms for sensorimotor control, which include a novel feedback neural motor control law for mimicking target-oriented arm reaching motions, and a novel consensus algorithm for solving sensing problems such as locating a food source from local chemical sensory information (exogenous) and arm deformation information (endogenous).

View Article and Find Full Text PDF