การวิเคราะห์สถานการณ์ระยะเวลารอคอยในหน่วยงานผู้ป่วยฉุกเฉิน สถาบันโรคทรวงอก

Saipin Kongkaew; Sukanya Sabaisook; Paweenuch  Jeanagool; Prenpis Leularp; Raphatphorn Petchsuk; Pramote Thangkratok

doi:10.33165/rmj.2022.45.4.258322

Authors

Saipin Kongkaew Emergency Screening Unit, Central Chest Institute of Thailand, Nonthaburi, Thailand
Sukanya Sabaisook Out Patient Division, Central Chest Institute of Thailand, Nonthaburi, Thailand
Paweenuch Jeanagool Emergency Department, Central Chest Institute of Thailand, Nonthaburi, Thailand
Prenpis Leularp Emergency Screening Unit, Central Chest Institute of Thailand, Nonthaburi, Thailand
Raphatphorn Petchsuk Faculty of Nursing, Rattana Bundit University, Pathum Thani, Thailand
Pramote Thangkratok Department of Community Health Nursing, Srisavarindhira Thai Red Cross Institute of Nursing

DOI:

https://doi.org/10.33165/rmj.2022.45.4.258322

Keywords:

Waiting time, Emergency, Situational analysis

Abstract

Background: Emergency department should determine the factors that influence on the waiting time for developing the strategies for waiting time reduction.

Objective: To analyze the waiting time and study the factors that influence on the waiting time in the emergency department of Central Chest Institute of Thailand.

Methods: Samples were collected from medical records of 353 patients admitted to emergency department from January 2018 to December 2018 which were selected by systematic randomization using a 22-item data record form. It has been checked for content validity by 3 experts. Data were analyzed using descriptive statistics, and statistical correlations were obtained using multivariable logistic regression.

Results: This study revealed that 53 patients (15.01%) spending waiting time over 4 hours in emergency department. The correlation with waiting time over 4 hours were urgent patient (P < .05) and patient admission (P < .001).

Conclusions: The correlation with waiting time over 4 hours were urgent patients and admission process.

References

Tang N, Stein J, Hsia RY, Maselli JH, Gonzales R. Trends and characteristics of US emergency department visits, 1997-2007. JAMA. 2010;304(6):664-670. doi:10.1001/jama.2010.1112

Ahsan A, Deviantony F, Setyoadi S. Analysis of the associated factors of boarding time in yellow zone patients in emergency department. Jurnal Ners. 2017;12(2):261-266. doi:10.20473/jn.v12i2.6521

Miró O, Sánchez M, Espinosa G, Coll-Vinent B, Bragulat E, Millá J. Analysis of patient flow in the emergency department and the effect of an extensive reorganisation. Emerg Med J. 2003;20(2):143-148. doi:10.1136/emj.20.2.143

Bukhari H, Albazli K, Almaslmani S, et al. Analysis of waiting time in emergency department of Al-Noor Specialist Hospital, Makkah, Saudi Arabia. Open J Emerg Med. 2014;2(4):67-73. doi:10.4236/ojem.2014.24012

Bauchwitz B, Lynn S, Weyhrauch P, et al. Thematic issues in analysis and visualization of emergency department patient flow. Proc Int Symp Hum Factors Ergon Healthc. 2018;7(1):132-139. doi:10.1177/2327857918071034

Locker T, Mason S, Wardrope J, Walters S. Targets and moving goal posts: changes in waiting times in a UK emergency department. Emerg Med J. 2005;22(10):710-714. doi:10.1136/emj.2004.019042

Techa-atik P, Sumritrin S, Sirithongsuk A, Poogeng P. Delaying time periods of the service for accident and emergency patients. Thai Journal of Nursing and Midwifery Practice. 2017;4(1):25-35. Accessed September 24, 2022. https://he02.tci-thaijo.org/index.php/apnj/article/view/120374

Emergency Department. Medical Records and Statistics. Central Chest Institute of Thailand; 2019.

American College of Emergency Physicians. Standards for Measuring and Reporting Emergency Department Wait Times. American College of Emergency Physicians; 2018. Accessed September 24, 2022. https://www.acep.org/patient-care/policy-statements/standards-for-measuring-and-reporting-emergency-department-wait-times/

Welch SJ, Asplin BR, Stone-Griffith S, et al. Emergency department operational metrics, measures and definitions: results of the Second Performance Measures and Benchmarking Summit. Ann Emerg Med. 2011;58(1):33-40. doi:10.1016/j.annemergmed.2010.08.040

Welch SJ, Stone-Griffith S, Asplin B, et al. Emergency department operations dictionary: results of the second performance measures and benchmarking summit. Acad Emerg Med. 2011;18(5):539-544. doi:10.1111/j.1553-2712.2011.01062.x

Daniel WW. Biostatistics: A Foundation for Analysis in the Health Sciences. 6th ed. John Wiley & Sons; 1995.

Ngamjarus C, Chongsuvivatwong V. n4Studies: Sample Size and Power Calculations for iOS. The Royal Golden Jubilee Ph.D. Program: The Thailand Research Fund & Prince of Songkla University; 2014.

Ienghong K. Factors affecting length of stay more than 4 hours in the emergency department of Srinagarind Hospital. Srinagarind Med J. 2014;29(1):7-13. Accessed September 24, 2022. https://li01.tci-thaijo.org/index.php/SRIMEDJ/article/view/17279

Thongphan T, Chantaphet C. Factors related with length of stay more than 8 hours at the emergency department of Bhumibol Adulyadej Hospital. Royal Thai Air Force Medical Gazette. 2018;64(1):45-55. Accessed September 24, 2022. https://he02.tci-thaijo.org/index.php/rtafmg/article/view/160190/115652

Pascasie K, Mtshali NG. A descriptive analysis of emergency department overcrowding in a selected hospital in Kigali, Rwanda. Afr J Emerg Med. 2014;4(4):178-183. doi:10.1016/j.afjem.2013.10.001