Ahmed Alaaeldin Saad, Mecit Can Emre Simsekler, Sundos Ahmed, Rawaa Ouda, Omar Khaddam, Mohamed Sanousi, Mini Benny, Hani Abdalla Sunbati, Deanne Kashiwagi, Ahmad Al Rifai, Masood Ahmad, Siddiq Anwar
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引用次数: 0
Abstract
Background: Difficult intravenous (IV) access (DIVA) remains a significant challenge in healthcare, leading to treatment delays, patient discomfort, and adverse outcomes. Contributing factors include patient conditions (eg, obesity, dehydration, anatomical variations) and provider-related challenges (eg, inadequate training, improper technique). Addressing DIVA requires a structured, data-driven approach.
Purpose: This study examines the root causes of IV access complications, their prevalence, and distribution across healthcare settings. It evaluates the impact of an escalation pathway and data-driven strategies to improve IV success rates, provider training, and process standardization.
Patients and methods: A retrospective analysis was conducted on 311 DIVA patients at Sheikh Shakhbout Medical City (SSMC), Abu Dhabi, UAE, over seven months (June-December 2023). Data were obtained from electronic medical records (EMR) and Intensive Care Outreach Nurse (ICON) consultation forms. A novel IV escalation pathway and documentation system facilitated data collection on patient demographics, IV access reasons, and primary diagnoses.
Results: Among ICON-assisted patients, 74.6% had a known DIVA history, with cancer and renal disease being common conditions. ICONs achieved a first-attempt success rate of 68.8%, underscoring the need for improved floor nurse training. The most frequent IV access indications were medication administration, antibiotics, laboratory tests, and analgesia. Additionally, 57.3% of ICON consultations occurred outside standard hours, highlighting resource allocation challenges.
Conclusion: Structured escalation pathways, advanced nurse training, and data-driven decision-making are critical in addressing DIVA. Recommendations include a dedicated IV access team, ultrasound-guided cannulation, and predictive analytics to identify high-risk patients, ultimately enhancing patient outcomes and healthcare efficiency.
期刊介绍:
Risk Management and Healthcare Policy is an international, peer-reviewed, open access journal focusing on all aspects of public health, policy and preventative measures to promote good health and improve morbidity and mortality in the population. Specific topics covered in the journal include:
Public and community health
Policy and law
Preventative and predictive healthcare
Risk and hazard management
Epidemiology, detection and screening
Lifestyle and diet modification
Vaccination and disease transmission/modification programs
Health and safety and occupational health
Healthcare services provision
Health literacy and education
Advertising and promotion of health issues
Health economic evaluations and resource management
Risk Management and Healthcare Policy focuses on human interventional and observational research. The journal welcomes submitted papers covering original research, clinical and epidemiological studies, reviews and evaluations, guidelines, expert opinion and commentary, and extended reports. Case reports will only be considered if they make a valuable and original contribution to the literature. The journal does not accept study protocols, animal-based or cell line-based studies.