Background Several studies have examined hospitalizations among patients with adult congenital heart disease (ACHD). Few investigated other services or utilization patterns. Our aim was to study service utilization patterns and predictors among patients with ACHD. Methods and Results We identified 11 653 patients with ACHD aged ≥18 years (median, 47 years), through electronic records of 2 large Israeli healthcare providers (2007-2011). The association between patient, disease, and sociogeographic characteristics and healthcare resource utilization were modeled as recurrent events accounting for the competing death risk. Patients with ACHD had high healthcare utilization rates compared with the general population. The highest standardized service utilization ratios (SSRs) were found among patients with complex congenital heart disease including primary care visits (SSR, 1.53; 95% CI, 1.47-1.58), cardiology outpatient visits (SSR, 5.17; 95% CI, 4.69-5.64), hospitalizations (SSR, 6.68; 95% CI, 5.82-7.54), and days in hospital (SSR, 15.37; 95% CI, 14.61-16.12). Adjusted resource utilization hazard increased with increasing lesion complexity. Hazard ratios (HRs) for complex versus simple disease were: primary care (HR, 1.14; 95% CI, 1.06-1.23); cardiology outpatient visits (HR, 1.40; 95% CI, 1.24-1.59); emergency department visits (HR, 1.19; 95% CI, 1.02-1.39); and hospitalizations (HR, 1.75; 95% CI, 1.49-2.05). Effects attenuated with age for cardiology outpatient visits and hospitalizations and increased for emergency department visits. Female sex, geographic periphery, and ethnic minority were associated with more primary care visits, and female sex (HR versus men, 0.89 [95% CI, 0.84-0.94]) and periphery (HR, 0.72 [95% CI, 0.58-0.90] for very peripheral versus very central) were associated with fewer cardiology visits. Arab minority patients also had high hospitalization rates compared with the majority group of Jewish or other patients. Conclusions Healthcare utilization rates were high among patients with ACHD. Female sex, geographic periphery, and ethnicity were associated with less optimal service utilization patterns. Further research should examine strategies to optimize service utilization in these groups.
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http://dx.doi.org/10.1161/JAHA.120.018037 | DOI Listing |
Value Health Reg Issues
January 2025
Departamento de Ingeniería Informática, Facultad de Ingeniería, Universidad de Santiago de Chile, Santiago, Chile.
Objectives: Despite the increasing investments in Latin American healthcare, the corresponding improvement in population health is not proportional. This discrepancy may be attributed to the efficiency of resource utilization. This study used the data envelopment analysis (DEA) methodology to assess the efficiency of healthcare systems in 23 Latin American and Caribbean countries.
View Article and Find Full Text PDFAnn Intern Med
January 2025
Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System; Department of Population Health Sciences, Duke University School of Medicine; and Durham Evidence Synthesis Program, Durham Veterans Affairs Health Care System, Durham, North Carolina (J.M.G.).
Background: Postdischarge contacts (PDCs) after hospitalization are common practice, but their effectiveness in reducing use of acute care after discharge remains unclear.
Purpose: To assess the effects of PDC on 30-day emergency department (ED) visits, 30-day hospital readmissions, and patient satisfaction.
Data Sources: MEDLINE, Embase, and CINAHL searched from 2012 to 25 May 2023.
Annu Rev Food Sci Technol
January 2025
1Food Science and Human Nutrition Department, University of Florida, Gainesville, Florida, USA; email:
Foodborne illnesses are a significant global public health challenge, with an estimated 600 million cases annually. Conventional food microbiology methods tend to be laborious and time consuming, pose difficulties in real-time utilization, and can display subpar accuracy or typing capabilities. With the recent advancements in third-generation sequencing and microbial omics, nanopore sequencing technology and its long-read sequencing capabilities have emerged as a promising platform.
View Article and Find Full Text PDFPLoS One
January 2025
Regional Health System Office, National University Health System, Singapore, Singapore.
Introduction: The population is heterogeneous with varying levels of healthcare needs. Clustering individuals into health segments with more homogeneous healthcare needs allows for better understanding and monitoring of health profiles in the population, which can support data-driven resource allocation.
Methods: Using the developed criteria, data from several of Singapore's national administrative datasets were used to classify individuals into the various health segments.
PLoS One
January 2025
Public Health Department (MNCH), Health Services Academy, Islamabad, Islamabad Capital Territory, Pakistan.
Background: Maternal mortality ratio (MMR) has decreased worldwide but Pakistan is still striving towards achieving the SDG targets for maternal health. This study highlights the trends in maternal mortality levels and risk factors in Pakistan between 2007 and 2019.
Methods: This study compares the results of secondary data analysis of the Pakistan Maternal Mortality Survey 2019 with the Pakistan Demographic and Health Survey 2007.
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