Aims: This study explored the impact of a care management intervention aiming to improve self-care behavior in multimorbid individuals with Type 2 diabetes mellitus on health-related quality of life (HRQoL).
Methods: A patient-level randomized parallel-group superiority trial with 32 primary care practice teams, 11 care managers and 495 patients was conducted. The intervention was delivered as add-on to an already implemented disease management program and embedded in a network of primary care practices. Hierarchical linear modeling was used to analyze impacts of the care management approach on HRQoL.
Results: Small improvements of HRQoL in the intervention arm were found after nine months (r = 0.024; 95%CI = [0.000, 0.047]). However, compared to standard care no significant differences of HRQoL changes were observed (r = 0.022; 95%CI = [-0.011, 0.054]). Subgroup analyses showed effects for female participants favoring the intervention arm (r = 0.059; 95%CI = [0.010, 0.108]). No significant differences between intervention and control arm for several other subgroups were observed, including subgroups defined by comorbidities.
Conclusion: Additional care management did not influence HRQoL over and above standard disease management. Improving diabetes patients' self-care behavior in the context of structured disease management programs may be difficult to achieve. Women might benefit from additional care management, but this finding needs to be confirmed in future research.
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http://dx.doi.org/10.1016/j.diabres.2019.03.008 | DOI Listing |
Seizure
January 2025
University of Adelaide, Adelaide SA 5005, Australia; Flinders University, Bedford Park SA 5042, Australia; Lyell McEwin Hospital, Elizabeth Vale SA 5112, Australia; Department of Neurology and the Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston MA 02138, USA.
Purpose: Epilepsia partialis continua (EPC) is form of focal motor status epilepticus, with limited guidelines regarding effective pharmacological management. This systematic review aimed to describe previously utilized pharmacological management strategies for EPC, with a focus on patient outcomes.
Methods: A systematic review of the databases PubMed, EMBASE, and SCOPUS was performed from inception to May 2024.
JMIR Res Protoc
January 2025
Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
Background: Although existing disease preparedness and response frameworks provide guidance about strengthening emergency response capacity, little attention is paid to health service continuity during emergency responses. During the 2014 Ebola outbreak, there were 11,325 reported deaths due to the Ebola virus and yet disruption in access to care caused more than 10,000 additional deaths due to measles, HIV/AIDS, tuberculosis, and malaria. Low- and middle-income countries account for the largest disease burden due to HIV, tuberculosis, and malaria and yet previous responses to health emergencies showed that HIV, tuberculosis, and malaria service delivery can be significantly disrupted.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Vibrent Health, Inc, Fairfax, VA, United States.
Background: Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.
Objective: We sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal data, and engage participants from diverse backgrounds in the National Institutes of Health's (NIH) All of Us Research Program (AOU).
J Med Internet Res
January 2025
Department of Health Services Research Management, AI and Digital Health Lab (Centre for Healthcare Innovation Research), City St George's University, London, United Kingdom.
User trust is pivotal for the adoption of digital health systems interventions (DHI). In response, numerous trust-building guidelines have recently emerged targeting DHIs such as artificial intelligence. The common aim of these guidelines aimed at private sector actors and government policy makers is to build trustworthy DHI.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Indiana University, Indianapolis, IN, United States.
Background: Heart failure (HF) is one of the most common causes of hospital readmission in the United States. These hospitalizations are often driven by insufficient self-care. Commercial mobile health (mHealth) technologies, such as consumer-grade apps and wearable devices, offer opportunities for improving HF self-care, but their efficacy remains largely underexplored.
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