Background: The Department of Veterans Affairs (VA) provides rehabilitation for veterans with moderate to severe war injuries through four regional Polytrauma Rehabilitation Centers (PRCs). To standardize and improve care provided to these veterans' family members, health services researchers partnered with program leaders and rehabilitation specialists to implement a family care quality improvement collaborative.
Objective: To describe practice changes associated with the Family Care Collaborative's intervention.
Design: Cross-site, mixed-method evaluation.
Participants: Rehabilitation interdisciplinary team members (n = 226) working at the four participating sites.
Interventions: The collaborative developed and implemented in a 6-month pilot a web-based tool to standardize and promote family-centered care.
Outcomes: Provider survey of family care, satisfaction with family care, and perceived competence in working with families; specific practice changes at each site; provider and facilitator perceptions of the collaborative work; and a validated measure to predict likelihood of success of the selected intervention.
Main Results: Family-centered practices and satisfaction improved at sites with lower baseline scores (P < 0.05) and was equivalent across sites after the pilot. Providers initiated specific family-centered practices that often began at one site and spread to the others through the collaborative. Sites standardized family education and collaboration. Providers believed that the collaborative produced a "culture change" from patient-centered to family-centered care and viewed program leadership and health services researchers' involvement as crucial for success. Scores on the measure to predict successful implementation of the intervention beyond the pilot were promising.
Conclusions: Collaboratives that bring together clinicians, program leaders, and researchers may be useful for fostering complex change involving interdisciplinary teams.
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http://dx.doi.org/10.1007/s11606-009-1125-3 | DOI Listing |
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January 2025
Defense Personnel and Security Research Center, Peraton, Seaside, California, USA.
Background: This study investigated relationships between low-income adolescent drinkers' frequent alcohol use and five factors: social disorganization, social structural, social integration, mental health, and access to healthcare.
Objective: A sample of 1,256 low-income adolescent drinkers and caregivers were extracted from the Future of Families and Child Wellbeing Study.
Results: Logistic regression yielded results showing adolescent drinkers' weekly drinking to be associated positively with Hispanic adolescents, drinking peers, adolescents' depression/anxiety, and caregiver's daily drinking.
Pharmaceutics
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Division of Pulmonology, Department of Internal Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan 50612, Republic of Korea.
Lung cancer remains a major global health problem because of its high cancer-related mortality rate despite advances in therapeutic approaches. Non-small cell lung cancer (NSCLC), a major subtype of lung cancer, is more amenable to surgical intervention in its early stages. However, the prognosis for advanced NSCLC remains poor, owing to limited treatment options.
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Physiological Controls Research Center, University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary.
In light of the demographic shift towards an aging population, there is an increasing prevalence of dementia among the elderly. The negative impact on mental health is preventing individuals from taking proper care of themselves. For individuals requiring hospital care, those receiving home care, or as a precaution for a specific individual, it is advantageous to utilize monitoring equipment to track their biological parameters on an ongoing basis.
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Guthrie Cortland Medical Center, Cortland, NY 13045, USA.
Artificial intelligence (AI) in echocardiography represents a transformative advancement in cardiology, addressing longstanding challenges in cardiac diagnostics. Echocardiography has traditionally been limited by operator-dependent variability and subjective interpretation, which impact diagnostic reliability. This study evaluates the role of AI, particularly machine learning (ML), in enhancing the accuracy and consistency of echocardiographic image analysis and its potential to complement clinical expertise.
View Article and Find Full Text PDFJ Clin Med
January 2025
Institute of Infectious Diseases and Infection Control, Jena University Hospital, Friedrich-Schiller-University Jena, 07747 Jena, Germany.
: Despite recent decades' rapid advances in the management of patients with sepsis and septic shock, global sepsis mortality and post-acute sepsis morbidity rates remain high. Our aim was, therefore, to provide a first overview of sepsis care pathways as well as barriers and supportive conditions for optimal pre-clinical, clinical, and post-acute sepsis care in Germany. : Between May and September 2023, we conducted semi-structured, video-based, one-to-one pilot expert interviews with healthcare professionals representing pre-hospital, clinical, and post-acute care settings.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!