Background: Multiple long-term conditions (MLTC), also known as multimorbidity, has been identified as a priority research topic globally. Research priorities from the perspectives of patients and research funders have been described. Although most care for MLTC is delivered in primary care, the priorities of academic primary care have not been identified.
Aim: To identify and prioritise the academic primary care research agenda for MLTC.
Design And Setting: This was a three-phase study with primary care MLTC researchers from the UK and other high-income countries.
Method: The study consisted of: an open-ended survey question, a face-to-face workshop to elaborate questions with researchers from the UK and Ireland, and a two-round Delphi consensus survey with international multimorbidity researchers.
Results: Twenty-five primary care researchers responded to the initial open-ended survey and generated 84 potential research questions. In the subsequent workshop discussion ( = 18 participants), this list was reduced to 31 questions. The longlist of 31 research questions was included in round 1 of the Delphi; 27 of the 50 (54%) round 1 invitees and 24 of the 27 (89%) round 2 invitees took part in the Delphi. Ten questions reached final consensus. These questions focused broadly on addressing the complexity of the patient group with development of new models of care for multimorbidity, and methods and data development.
Conclusion: These high-priority research questions offer funders and researchers a basis on which to build future grant calls and research plans. Addressing complexity in this research is needed to inform improvements in systems of care and for disease prevention.
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http://dx.doi.org/10.3399/BJGP.2023.0163 | DOI Listing |
Infect Dis (Lond)
January 2025
Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, GA, USA.
Background: Whether a detected virus or bacteria is a pathogen that may require treatment, or is merely a commensal 'passenger', remains confusing for many infections. This confusion is likely to increase with the wider use of multi-pathogen PCR.
Objectives: To propose a new statistical procedure to analyse and present data from case-control studies clarifying the probability of causality.
J Ultrasound
January 2025
Argentinian Critical Care Ultrasonography Association (ASARUC), Buenos Aires, Argentina.
Hepatic gas gangrene (HGG) is a rare but life-threatening condition typically caused by anaerobic bacteria such as Clostridium perfringens, though Gram-negative bacteria like Escherichia coli and Klebsiella species have also been implicated. Traditionally diagnosed via computed tomography (CT), point-of-care ultrasound (POCUS) has emerged as a valuable tool in critical care settings for its non-invasive, bedside utility. We report the case of a 51-year-old female with choledochal syndrome secondary to cholangiocarcinoma who developed HGG following left extended hepatectomy and biliary reconstruction.
View Article and Find Full Text PDFOrv Hetil
January 2025
3 Pécsi Tudományegyetem, Általános Orvostudományi Kar, Sebészeti Klinika Pécs Magyarország.
J Adolesc Health
January 2025
The National Alliance to Advance Adolescent Health/Got Transition, Washington, D.C.
Purpose: There is a paucity of evidence examining clinician experiences with structured health-care transition (HCT) programs. Among HCT Learning Collaborative participants, this study describes clinician experiences with implementation of a structured HCT process: Got Transition's 6 Core Elements.
Methods: Representative members from 6 health systems designed a survey to collect clinician feedback regarding HCT and demographic and practice information.
West Afr J Med
September 2024
Health Policy Research Group, Department of Pharmacology and Therapeutics, College of Medicine, University of Nigeria Enugu-Campus, Enugu, Nigeria.
Background: This study estimated the cost of providing free maternal and child health (MCH) services at the primary health centre (PHC) level in southeast Nigeria. The costs of providing an essential benefit package of maternal and child health (MCH) services are unknown. Such information is required for optimal resource allocation decisions and for replicating similar programmes in different settings.
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