{"title":"Factors Influencing Treatment Delays in Trauma Patients: A Three-delay Model Approach.","authors":"Mayank Badkur, Marina Kharkongor, Naveen Sharma, Saurabh Singh, Pushpinder Khera, Ashok Puranik, Mahaveer Singh Rodha","doi":"10.4103/jets.jets_9_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Identifying factors causing treatment delays is essential for guiding decisions on resource allocation within trauma systems. The three-delay model categorizes delays into: (i) deciding to seek medical care (Phase 1), (ii) recognizing the need for transporting to a medical facility (Phase 2), and (iii) receiving suitable and timely treatment (Phase 3). We seek to investigate factors influencing delays in trauma patients using the three-delay model.</p><p><strong>Methods: </strong>We conducted an 18-month prospective observational study at a tertiary hospital, involving consenting adults (age >18 years) admitted for various traumas. We conducted a detailed interview and extracted objective patient data from medical records using a predetermined form. We observed and analyzed factors influencing the duration of the three phases.</p><p><strong>Results: </strong>Phase 1 delays were observed in 83 patients, Phase 2 delays in 200 patients, and Phase 3 delays in 233 patients. In Phase 3 delays, a shortage of human resources was the most frequently identified cause of delay, affecting 68 out of 233 patients (29%). In severe trauma cases (injury severity score ≥16), any phase delay showed a significant association with poor outcomes (<i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>The three-delay model offers a valuable framework for understanding and pinpointing the factors contributing to delays in both prehospital and inhospital services.</p>","PeriodicalId":15692,"journal":{"name":"Journal of Emergencies, Trauma, and Shock","volume":"17 3","pages":"172-177"},"PeriodicalIF":1.2000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11563228/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Emergencies, Trauma, and Shock","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/jets.jets_9_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/2 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"EMERGENCY MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Identifying factors causing treatment delays is essential for guiding decisions on resource allocation within trauma systems. The three-delay model categorizes delays into: (i) deciding to seek medical care (Phase 1), (ii) recognizing the need for transporting to a medical facility (Phase 2), and (iii) receiving suitable and timely treatment (Phase 3). We seek to investigate factors influencing delays in trauma patients using the three-delay model.
Methods: We conducted an 18-month prospective observational study at a tertiary hospital, involving consenting adults (age >18 years) admitted for various traumas. We conducted a detailed interview and extracted objective patient data from medical records using a predetermined form. We observed and analyzed factors influencing the duration of the three phases.
Results: Phase 1 delays were observed in 83 patients, Phase 2 delays in 200 patients, and Phase 3 delays in 233 patients. In Phase 3 delays, a shortage of human resources was the most frequently identified cause of delay, affecting 68 out of 233 patients (29%). In severe trauma cases (injury severity score ≥16), any phase delay showed a significant association with poor outcomes (P < 0.05).
Conclusion: The three-delay model offers a valuable framework for understanding and pinpointing the factors contributing to delays in both prehospital and inhospital services.