Management of a primary health-care network (PHCN) is a difficult task in every country. A suitable monitoring system can provide useful information for PHCN management, especially given a large quantity of health-care data that is produced daily in the network. This paper proposes a methodology for structured development of monitoring systems and a PHCN resource allocation monitoring model based on this methodology. The purpose of the monitoring model is to improve the allocation of health-care resources. The proposed methodology is based on modules that are organized into a hierarchy, where each module monitors a particular aspect of the system. This methodology was used to design a PHCN monitoring model for Slovenia. Specific aspects of the Slovenian PHCN were taken into account such as varying needs of patients from different municipalities, existence of small municipalities having less than 1000 residents, the fact that many patients visit physicians in other municipalities, and that physicians may work at more than one location or organization. The main modules in the model are focused on the overall assessment of the PHCN, monitoring of patients visits to health-care providers (HCPs), physical accessibility of health services, segment of patients in municipalities who have not selected a personal physician, assessment of the availability of HCPs for patients, physicians working on more than one location, and available human resources in the PHCN. Most of the model's components are general and can be adapted for other national health-care systems.
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http://dx.doi.org/10.1002/hpm.1001 | DOI Listing |
JMIR Pediatr Parent
January 2025
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Ireland.
Background: Preteen girls of lower socioeconomic position are at increased risk of physical inactivity. Parental support, particularly from mothers, is positively correlated with girls' physical activity levels. Consequently, family-based interventions are recognized as a promising approach to improve young people's physical activity.
View Article and Find Full Text PDFHealth Aff (Millwood)
January 2025
Jordan Everson, Office of the Assistant Secretary for Technology Policy, Washington, D.C.
Effective evaluation and governance of predictive models used in health care, particularly those driven by artificial intelligence (AI) and machine learning, are needed to ensure that models are fair, appropriate, valid, effective, and safe, or FAVES. We analyzed data from the 2023 American Hospital Association Annual Survey Information Technology Supplement to identify how AI and predictive models are used and evaluated for accuracy and bias in hospitals. Hospitals use AI and predictive models to predict health trajectories or risks for inpatients, identify high-risk outpatients to inform follow-up care, monitor health, recommend treatments, simplify or automate billing procedures, and facilitate scheduling.
View Article and Find Full Text PDFPLoS One
January 2025
Australian National Phenome Center and Center for Computational and Systems Medicine, Health Futures Institute, Murdoch University, Perth, Western Australia, Australia.
Understanding the distribution and variation in inflammatory markers is crucial for advancing our knowledge of inflammatory processes and evaluating their clinical utility in diagnosing and monitoring acute and chronic disease. 1H NMR spectroscopy of blood plasma and serum was applied to measure a composite panel of inflammatory markers based on acute phase glycoprotein signals (GlycA and GlycB) and sub-regions of the lipoprotein derived Supramolecular Phospholipid Composite signals (SPC1, SPC2 and SPC3) to establish normal ranges in two healthy, predominantly white cohorts from Australia (n = 398) and Spain (n = 80; ages 20-70 years). GlycA, GlycB, SPC1 and SPC3 were not significantly impacted by age or sex, but SPC2 (an HDL-related biomarker) was significantly higher in women across all age ranges by an average of 33.
View Article and Find Full Text PDFJ Neurotrauma
January 2025
International Collaboration on Repair Discoveries (ICORD), University of British Columbia (UBC), Vancouver, Canada.
Recent studies have reported that monitoring spinal cord perfusion pressure (SCPP) using a pressure probe to measure "intraspinal pressure" (ISP) within the subdural space at the injury site may improve the hemodynamic management of acute spinal cord injury (SCI) patients. This study aimed to investigate, within a pig model of SCI, the relationship between the ISP measured within the subdural space and the "spinal cord pressure" (SCP) measured within the spinal cord itself. Specifically, we sought to characterize the changes to ISP and SCP over time, both rostral and caudal to the injury epicenter, and in relation to native spinal cord morphometry.
View Article and Find Full Text PDFJAMA Intern Med
January 2025
San Francisco Department of Public Health, San Francisco, California.
Importance: Increasing rates of sexually transmitted infections (STIs) have been associated with rises in serious morbidity. While doxycycline postexposure prophylaxis (doxyPEP), a strategy in which individuals take doxycycline, 200 mg, after condomless sex to prevent bacterial STIs, has been shown to be efficacious in randomized clinical trials, doxyPEP's potential effect on population-level STI incidence is unknown.
Objective: To assess the association of citywide doxyPEP guideline release with reported chlamydia, gonorrhea, and early syphilis cases in men who have sex with men (MSM) and in transgender women in San Francisco, California.
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