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Background: This study addresses the critical issue of high-volume emergency calls in hospitals, focusing on the strain caused by frequent caller patients on ambulance services. The aim was to synthesize various management methods for handling high-frequency hospital calls. Methods: The systematic review was conducted following the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines and guided by the Cochrane Handbook for systematic reviews. Inclusion criteria encompassed studies focusing on the management of emergency departments in hospitals, exploring various medical conditions requiring ambulance attention, and reporting on the impact of a high volume of ambulance calls on hospitals. Databases including PubMed, Web of Science, and Google Scholar were searched from January 1, 2005, to May 1, 2022. The quality of included studies was assessed using the Critical Appraisal Skills Programme (CASP) Checklist. Results: Out of 2390 identified citations, 18 studies met the inclusion criteria. These studies, from 12 countries, presented diverse methods categorized into country policy-based management, modeling approaches, and general strategies. Key findings included the effectiveness of risk stratification models and community-based interventions in managing high call frequencies and improving patient care. Our review identified effective strategies such as risk stratification models and community-based interventions, which have shown significant impacts in managing high call frequencies, aligning closely with our objective. These approaches have been pivotal in reducing the burden on emergency services and improving patient care. Conclusion: The study synthesizes effective management methods for high-frequency ambulance calls, including predictive modeling and community interventions. It highlights the need for multi-faceted management strategies in different healthcare settings and underscores the importance of continued research and implementation of these methods to improve emergency service efficiency.
RESUMEN
BACKGROUND: Few reference equations exist for healthy adults of various races for pulmonary diffusing capacity for nitric oxide (DLNO). The purpose of this study was to collect pilot data to demonstrate that race-specific reference equations are needed for DLNO. METHODS: African Americans (blacks) were chosen as the comparative racial group. In 2016, a total of 59 healthy black subjects (27 males and 32 females) were recruited to perform a full battery of pulmonary function tests. In the development of DLNO reference equations, a white reference sample (randomly drawn from a population) matched to the black sample for sex, age, and height was used. Multiple linear regression equations for DLNO, alveolar volume (VA), and pulmonary diffusing capacity for carbon monoxide (DLCO) using a 5-6 s breath-hold were developed. RESULTS: Our models demonstrated that sex, age2, race, and height explained 71% of the variance in DLNO and DLCO, with race accounting for approximately 5-10% of the total variance. After normalizing for sex, age2, and height, blacks had a 12.4 and 3.9 mL/min/mmHg lower DLNO and DLCO, respectively, compared to whites. The lower diffusing capacity values in blacks are due, in part, to their 0.6 L lower VA (controlling for sex and height). CONCLUSION: The results of this pilot data reveal small but important and statistically significant racial differences in DLNO and DLCO in adults. Future reference equations should account for racial differences. If these differences are not accounted for, then the risk of falsely diagnosing lung disease increase in blacks when using reference equations for whites.