Objective: To determine whether a telephone-based, individualized education and mentored problem-solving intervention would improve outcomes for caregivers of persons with traumatic brain injury (TBI).
Design: Parallel group, randomized controlled trial with blinded outcome assessment.
Setting: General community.
Participants: A total of 153 caregivers (mean age = 49.7 years; 82% female; 54% spouses/partners, 35% parents) of persons with moderate to severe TBI who received acute and/or rehabilitation care at a level I trauma center. Eighty-two percent of participants were evaluated at 6-month follow-up.
Intervention: Individualized education and mentored problem-solving intervention focused on caregivers' primary concerns delivered via up to 10 telephone calls at 2-week intervals.
Main Outcome Measures: Composite of Bakas Caregiving Outcomes Scale (BCOS) and Brief Symptom Inventory (BSI-18) at 6 months post-TBI survivor discharge. Secondary measures included the Brief COPE.
Results: Caregivers in the treatment arm scored higher on the BCOS-BSI composite (P = .032), with more active coping (P = .020) and less emotional venting (P = .028) as measured by the Brief COPE.
Conclusions: An individualized education and mentored problem-solving approach delivered via telephone in the first few months following community discharge of the TBI survivor resulted in better caregiver outcomes than usual care. Consideration should be given to using this approach to augment the limited support typically offered to caregivers.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/HTR.0000000000000167 | DOI Listing |
J Med Internet Res
January 2025
Department High-Tech Business and Entrepreneurship Section, Industrial Engineering and Business Information Systems, University of Twente, Enschede, Overijssel, Netherlands.
Health recommender systems (HRS) have the capability to improve human-centered care and prevention by personalizing content, such as health interventions or health information. HRS, an emerging and developing field, can play a unique role in the digital health field as they can offer relevant recommendations, not only based on what users themselves prefer and may be receptive to, but also using data about wider spheres of influence over human behavior, including peers, families, communities, and societies. We identify and discuss how HRS could play a unique role in decreasing health inequities.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Clinical Sciences, Monash University, Melbourne, Australia.
Background: eHealth interventions can favorably impact health outcomes and encourage health-promoting behaviors in children. More insight is needed from the perspective of children and their families regarding eHealth interventions, including features influencing program effectiveness.
Objective: This review aimed to explore families' experiences with family-focused web-based interventions for improving health.
JMIR Res Protoc
January 2025
Department of Medicine and Optometry, eHealth Institue, Linnaeus University, Kalmar, Sweden.
Background: Health worker migration from Nigeria poses significant challenges to the Nigerian health care sector and has far-reaching implications for health care systems globally. Understanding the factors driving migration, its effects on health care delivery, and potential policy interventions is critical for addressing this complex issue.
Objective: This study aims to comprehensively examine the factors encouraging the emigration of Nigerian health workers, map out the effects of health worker migration on the Nigerian health system, document the loss of investment in health training and education resulting from migration, identify relevant policy initiatives addressing migration, determine the effects of Nigerian health worker migration on destination countries, and identify the benefits and demerits to Nigeria of health worker migration.
JMIR Med Educ
January 2025
College of Medicine, Alfaisal University, Takhasussi street, Riyadh, 11533, Saudi Arabia, 966 559441589.
Background: There has been a rise in the popularity of ChatGPT and other chat-based artificial intelligence (AI) apps in medical education. Despite data being available from other parts of the world, there is a significant lack of information on this topic in medical education and research, particularly in Saudi Arabia.
Objective: The primary objective of the study was to examine the familiarity, usage patterns, and attitudes of Alfaisal University medical students toward ChatGPT and other chat-based AI apps in medical education.
J Glob Health
January 2025
Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
Background: Psychological distress, such as depression and anxiety, impacts cardiovascular disease (CVD) prognosis and management. Illness comprehension is essential for effective treatment, but biases can lead to suboptimal outcomes. We explored psycho-cardiovascular disease (PCD) patient characteristics, with a specific focus on comprehension biases and treatment choices from patients' perspectives in China, to improve management strategies.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!