Quantity and Quality of Healthcare Professionals, Transfer Delay and In-hospital Mortality Among ST-Segment Elevation Myocardial Infarction
A Mixed-Method Cross-Sectional Study of 89 Emergency Medical Stations in China
Bibliographic Data
| ID | 22066744 |
|---|---|
| Authors | Qiang Zhou (0000-0002-0329-5962), Wenya Tian (Yale University), Rengyu Wu (0009-0001-7854-3721), Chongzhen Qin (0009-0005-9724-7054), Hongjuan Zhang (0000-0003-2605-0949), Haiyan Zhang (0000-0001-7508-7831), Shuduo Zhou (0000-0002-5463-3116, Peking University), Siwen Li (0000-0003-0784-134X, Peking University), Yinzi Jin (0000-0003-0634-3955, Peking University, corresponding author), Zhi-Jie Zheng, Zhi‐Jie Zheng (0000-0002-0233-5010, Peking University) |
| Year | 2022 |
| Volume | 9 |
| Pages | 812355-812355 |
| Publication date | 2022-01-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.812355 |
| PMID | 35141193 |
| OpenAlex | W4226091609 |
| Language | EN |
| Citations received | 1 |
| References cited | 40 |
Background Transfer delay provokes prolongation of prehospital time, which contributes to treatment delay that endangers patients with ST-segment elevation myocardial infarction (STEMI). A key constraint in reducing transfer delay is the shortage of emergency healthcare workers. This study was to explore the influence of the quality and quantity of healthcare professionals at emergency medical stations on transfer delay and in-hospital mortality among STEMI patients. Methods A cross-sectional study using mixed methods was conducted at 89 emergency stations in 9 districts in China's Shenzhen province. Based on a sample of 31 hospitals, 1,255 healthcare professionals, and 3,131 patients with STEMI, a generalized linear model was used to explore the associations between the quality and quantity of healthcare professionals and transfer delay and in-hospital mortality among STEMI patients. Qualitative data were collected and analyzed to explore the reasons for the lack of qualified healthcare professionals at emergency medical stations. Results The analysis of the quantity of healthcare professionals showed that an increase of one physician per 100,000 individuals was associated with decreased transfer delay for patients with STEMI by 5.087 min (95% CI −6.722, −3.452; P < 0.001). An increase of one nurse per 100,000 individuals was associated with decreased transfer delay by 1.471 min (95% CI −2.943, 0.002; P=0.050). Analysis of the quality of healthcare professionals showed that an increase of one physician with an undergraduate degree per 100,000 individuals was associated with decreased transfer delay for patients with STEMI by 8.508 min (95% CI −10.457, −6.558; P < 0.001). An increase of one nurse with an undergraduate degree per 100,000 individuals was associated with decreased transfer delay by 6.645 min (95% CI −8.218, −5.072; P < 0.001). Qualitative analysis illustrated that the main reasons for low satisfaction of healthcare professionals at emergency medical stations included low income, limited promotion opportunities, and poor working environment. Conclusions The quantity and quality of emergency healthcare professionals are key factors influencing transfer delay in STEMI patients. The government should increase the quantity of healthcare professionals at emergency medical stations, strengthen the training, and improve their performance by linking with clinical pathways to enhance job enthusiasm among emergency healthcare professionals
Economic shortage · Emergency department · Health care · Health professionals · Medical emergency · Myocardial infarction · Acute Myocardial Infarction Research · Emergency and Acute Care Studies · Medicine · Nursing · Trauma and Emergency Care Studies · Emergency Medicine · Internal Medicine
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |