Araştırma Makalesi
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YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA

Yıl 2024, Cilt: 6 Sayı: 2, 181 - 197

Öz

Sağlık hizmeti sunum sistemlerinin tasarımı, verimli hasta kapasitesi ve akış yönetimi sağlamak için kritik öneme sahiptir. Kötü tasarlanmış sistemler darboğazlara, gecikmelere ve hasta sonuçlarını ve deneyimlerini olumsuz etkileyebilecek diğer verimsizliklere yol açabilir. Ekonomik açıdan bakıldığında, yoğun bakım ünitesi kullanımının maksimize edilmesi, hastane yöneticileri için bir hedef olarak görülebilir. Bunun nedeni, yoğun bakım ünitesinin tipik olarak bir hastanenin en pahalı ve kaynak yoğun alanlarından biri olmasıdır ve yoğun bakım ünitesinin kullanımını en üst düzeye çıkarmak, bu kaynakların kullanımını optimize etmeye yardımcı olmasıdır.
Yoğun bakım hizmetlerine olan talebin artışı, sağlık kurumlarının işleyişinde ve kapasitesinde sorunlara yol açmaktadır. Sağlık kuruluşlarının bu zorluklara karşı verdiği yetersiz yanıt, doğrudan olumsuz hasta sonuçlarına ve maliyet artışlarına neden olabilir. Bu çalışmada, yoğun bakım hasta bekleme sürelerini ve kapasite yönetimini etkileyen sorunlar incelenecek ve bunları iyileştirmek için stratejiler ve politikalar önerilecektir. Araştırma amacına uygun olarak öncelikle, yoğun bakım ünitesindeki hasta kabul ve taburculuk aşamalarındaki bekleme süreleri incelenerek sistemdeki kısıtlar belirlenecektir. Daha sonra sorunların çözümüne ilişkin olarak, YBÜ'nün kapasite ihtiyacı ve ara servisin ne büyüklükte olması gerektiği ve YBÜ ve ara servis hasta akışına ilişkin bir simülasyon modeli önerisi sunulacaktır. Çalışma, hastane planlamacılarına ve doktorlara, sınırlı YBÜ yatak kaynaklarını daha etkin bir şekilde tahsis etmek için alternatif çözümler sunmayı amaçlamaktadır. Elde edilen bulgular, yoğun bakım ve ara servislerin boyutlandırılmasıyla ilgili karar verme sürecinde hastanelere farklı bir perspektif sunmaktadır. Bu, daha etkili kaynak yönetimi ve kapasite planlaması için yeni yaklaşımların düşünülmesini gerektirebilir. Hastanelerde YBÜ'lerin hasta akışındaki kritik durumu ve süreçlerdeki kısıtları göz önüne alındığında, kapasite yönetiminde simülasyon modellerinden yararlanmanın, hastane yönetimlerine kaynakların sunumunu değerlendirmek için alternatif modeller sunabileceği düşünülmektedir.

Kaynakça

  • Agnoletti, V., Russo, E., Circelli, A., Benni, M., Bolondi, G., Martino, C., & Gamberini, E. (2021). From intensive care to step-down units: Managing patients throughput in response to COVID-19. Int J Qual Health Care, 33(1), 1-3.
  • Armony, M., Chan, C. W., & Zhu, B. (2018). Critical care capacity management: Understanding the role of a step down unit. Production and Operations Management, 27(5), 859–883.
  • Bai, J., Fügener, A., Schoenfelder, J., & Brunner , J. O. (2018). Operations research in intensive care unit management: a literature review. Health Care Management Science, 21, 1–24.
  • Burchardi, H. (2005). Step down wards: Advantages and disadvantages. ICU Management & Practice, 5(2), 1-2.
  • Cady, N., Mattes, M., & Burton, S. (1995). Reducing intensive care unit length of stay. The Journal of Nursing Administration, 25(12), 29–30.
  • Capuzzo, M., Volta, C. A., Tassinati, T., Moreno, R. P., Guidet, B., Iapichino, G., & Rhodes , A. (2014). Hospital mortality of adults admitted to İntensive care units in hospitals with and without intermediate care units: A multicentre European cohort study. Critical Care, 18(551), 1-15.
  • Chan, C. W., Green, L. V., Lu, L., & Escobar, G. (2014). The role of a step-down unit in improving patient outcomes. Columbia: Columbia Business School.
  • Civit, O., & Sengupta, S. (2015). A system dynamics model of flow of patients from the ICU through the step-down units. Industrial and Systems Engineering, Oakland University. (s. 315-330). Florida: IEOM Orlando Conference.
  • Cohen, M. A., Hershey, J. C., & Weiss, E. N. (1980). Analysis of capacity decisions for progressive patient care hospital facilities. Health Serv Res., 15(2), 145–160.
  • Costa, A., Ridley, S., Shahani, A., Harper, P. R., De Senna, V., & Nielsen, M. (2003). Mathematical modelling and simulation for planning critical care capacity. Anaesthesia, 58(4), 320–327.
  • Çelik, S. (2007). Yoğun bakım ünitesinde hasta kabul ve taburculuk kriterleri. Yoğun Bakım Hemşireliği Dergisi, 11(2), 96-101.
  • Day, T. E., Sarawgi, S., Perri, A., & Nicolson, S. C. (2015). Reducing postponements of elective pediatric cardiac procedures: Analysis and implementation of a discrete event simulation model. The Annals of Thoracic Surgery, 99(4), 1386-1391.
  • Deirdre, M., Erwin, C. O., & DelliFraine, J. L. (2015). Improving capacity management in the emergency department: A review of the literature, 2000-2012. Journal of Healthcare Management, 60(1), 63-75.
  • Dong, Y., Chbat, N. W., Gupta, A., Hadzikadic, M., & Gajic, O. (2012). Systems modeling and simulation applications for critical care medicine. Annals of intensive care, 2(1), 1-10.
  • Gershengorn, H. B., Chan, C. W., Xu, Y., Sun, H., Levy , R., Armony, M., & Gong , M. N. (2020). The impact of opening a medical step-down unit on medically critically ill patient outcomes and throughput: A difference-in-differences analysis. J Intensive Care Med., 35(5), 425-437.
  • Gupta, D., & Potthoff, S. J. (2016). Matching supply and demand for hospital services. foundations and trends® in technology. Information and Operations Management, 8(3-4), 131–274.
  • Günal, M. M., & Pidd, M. (2010). Discrete event simulation for performance modelling in health care: A review of the literature. Journal of Simulation, 4(1), 42–51.
  • Hershey, J. C., Weiss, E. N., & Cohen, M. A. (1981). A stochastic service network model with application to hospital facilities. Operations Research, 29(1), 1–22.
  • Jack, E. P., & Powers, T. L. (2009). A review and synthesis of demand management, capacity management and performance in health-care services. International Journal of Management Reviews, 11(2), 127-246.
  • Kennedy, M. H. (2009 ). Simulation modeling for the health care manager. Health Care Manag (Frederick), 28(3), 246-252.
  • Khanna, S., Boyle, J., Good, N., & Lind, J. (2012). Unravelling relationships: Hospital occupancy levels, discharge timing and emergency department access block. Emergency Medicine Australasia, 24, 510–517.
  • Kobara, Y. M., Rodrigues, F. F., de Souza, C. P., & Stanford, D. A. (2022). Intensive care unit/step-down unit queuing game with length of stay decisions. Operations Research for Health Care, 34, 1-18.
  • Kreke, J. E., Schaefer, A. J., & Roberts, M. S. (2004). Simulation and critical care modeling. Current opinion in critical care, 10(5), 395–398.
  • Lekwijit, S., Chan, C. W., Green, L. V., Liu, V. X., & Escobar, G. J. (2020). The impact of step-down unit care on patient outcomes after ICU discharge. Crit Care Explor., 2(5), 1-7.
  • Mahmoudian-Dehkordi, A., & Sadat, S. (2020). A generic simulation model of the relative cost-effectiveness of ICU versus step-down (IMCU) expansion. Journal of Intensive Care Medicine, 35(2), 191-202.
  • McNair, C. J., & Vangermeersch , R. (1998). Total capacity management-optimizing at the operational, tactical, and strategic levels. Florida: CRC Press.
  • Mielczarek, B., & Uzia lko-Mydlikowska, J. (2012). Application of computer simulation modeling in the health care sector: a survey. Simulation, 88(2), 197–216.
  • Parks, J. K., Engblom, P., Hamrock, E., Satjapot, S., & Levin, S. (2011). Designed to fail: How computer simulation can detect fundamental flaws in clinic flow. J Healthc Manag., 56(2), 135-144.
  • Plate, J. D., Luke, P. H., Houwert, M., & Hietbrink, F. (2017). Utilisation of intermediate care units: A systematic review. Critical Care Research and Practice, 1-11.
  • Prin, M., Wunsch, H. (2014). The role of stepdown beds in hospital care. American Journal of Respiratory and Critical Care Medicine, 190(11), 1210–1216.
  • Richards, B. F., Fleming, B. J., Shannon, C. N., & Walt, B. C. (2012). Safety and cost effectiveness of step-down unit admission following elective neurointerventional procedures. J Neurointerv Surg., 4(5), 390-392.
  • Rodrigues, F. F., Zaric, G. S., & Stanford, D. A. (2018). Discrete event simulation model for planning Level 2 “step-down” bed needs using NEMS. Operations Research for Health Care, 17, 42-54.
  • Salleh, S., Thokala, P., Brennan, A., Hughes, R.,& Booth, A. (2017). Simulation modelling in healthcare: An umbrella review of systematic literature reviews. PharmacoEconomics, 35(9), 937–949.
  • Shahani, A. K., Ridley, S. A., & Nielsen, M. S. (2008). Modelling patient flows as an aid to decision making for critical care capacities and organisation. Anaesthesia, 63(10), 1074-1080.
  • Smith-Daniels, V., Smith-Daniel, D., & Schweikhart, S. (1988). Capacity management in health care services: Review and future research directions. Decision Sciences, 19(4), 889-919.
  • Terwiesch, C., Diwas, K. C., & Kahn, J. M. (2011). Working with capacity limitations: Operations management in critical care. Crit Care., 15(4), 1-6.
  • Vincent, J. L., & Burchardi, H. (1999). Do we need intermediate care units?, Intensive Care Medicine, 25(12), 1345–1349.
  • Wallace, S. K., Rathi, N. K., Waller, D. K., Ensor, J. E., Haque, S. A., Price, K. J., . . . Nates, J. L. (2016). Two decades of ICU utilization and hospital outcomes in a comprehensive cancer center. Critical Care Medicine, 44(5), 926-933.
  • Zhu, B., Armony, M., & Chan, C. W. (2013). Critical care in hospitals: when to introduce a step down unit. Columbia: Columbia University.

CAPACITY MANAGEMENT IN INTENSIVE CARE UNITS: CREATING INTERMEDIATE SERVICES AND AN APPLICATION

Yıl 2024, Cilt: 6 Sayı: 2, 181 - 197

Öz

The design of healthcare service delivery systems is of critical importance in ensuring efficient patient capacity and flow management. Poorly designed systems can lead to bottlenecks, delays, and other inefficiencies that can have negative impacts on patient outcomes and experiences. From an economic perspective, maximizing the utilization of intensive care units can be seen as a goal for hospital administrators. This is because the intensive care unit is typically one of the most expensive and resource-intensive areas of a hospital, and maximizing the utilization of the intensive care unit helps in optimizing the use of resources. The increasing demand for intensive care services is causing flow and capacity issues for healthcare institutions. The weak response of healthcare institutions to these challenges can directly result in adverse patient outcomes and increased costs. In this study, the issues that affect intensive care patient waiting times and capacity management will be examined, and strategies and policies will be proposed to improve them. In line with the research objective, firstly, the waiting times during patient admission and discharge stages in the intensive care unit will be examined to identify constraints in the system. Subsequently, regarding the resolution of the issues, a simulation model proposal will be presented concerning the capacity needs of the intensive care unit, the appropriate size of the intermediate service, and the patient flow between the intensive care unit and the intermediate service. The study aims to provide hospital planners and doctors with alternative solutions to allocate limited intensive care unit bed resources more effectively. The findings offer a different perspective to hospitals in the decision-making process regarding the sizing of intensive care and intermediate wards. This may require considering new approaches for more effective resource management and capacity planning. Considering the critical nature of patient flow in intensive care units and the constraints in the processes within hospitals, utilizing simulation models in capacity management is believed to capable of providing hospital administrations with alternative models to assess resource allocation.

Kaynakça

  • Agnoletti, V., Russo, E., Circelli, A., Benni, M., Bolondi, G., Martino, C., & Gamberini, E. (2021). From intensive care to step-down units: Managing patients throughput in response to COVID-19. Int J Qual Health Care, 33(1), 1-3.
  • Armony, M., Chan, C. W., & Zhu, B. (2018). Critical care capacity management: Understanding the role of a step down unit. Production and Operations Management, 27(5), 859–883.
  • Bai, J., Fügener, A., Schoenfelder, J., & Brunner , J. O. (2018). Operations research in intensive care unit management: a literature review. Health Care Management Science, 21, 1–24.
  • Burchardi, H. (2005). Step down wards: Advantages and disadvantages. ICU Management & Practice, 5(2), 1-2.
  • Cady, N., Mattes, M., & Burton, S. (1995). Reducing intensive care unit length of stay. The Journal of Nursing Administration, 25(12), 29–30.
  • Capuzzo, M., Volta, C. A., Tassinati, T., Moreno, R. P., Guidet, B., Iapichino, G., & Rhodes , A. (2014). Hospital mortality of adults admitted to İntensive care units in hospitals with and without intermediate care units: A multicentre European cohort study. Critical Care, 18(551), 1-15.
  • Chan, C. W., Green, L. V., Lu, L., & Escobar, G. (2014). The role of a step-down unit in improving patient outcomes. Columbia: Columbia Business School.
  • Civit, O., & Sengupta, S. (2015). A system dynamics model of flow of patients from the ICU through the step-down units. Industrial and Systems Engineering, Oakland University. (s. 315-330). Florida: IEOM Orlando Conference.
  • Cohen, M. A., Hershey, J. C., & Weiss, E. N. (1980). Analysis of capacity decisions for progressive patient care hospital facilities. Health Serv Res., 15(2), 145–160.
  • Costa, A., Ridley, S., Shahani, A., Harper, P. R., De Senna, V., & Nielsen, M. (2003). Mathematical modelling and simulation for planning critical care capacity. Anaesthesia, 58(4), 320–327.
  • Çelik, S. (2007). Yoğun bakım ünitesinde hasta kabul ve taburculuk kriterleri. Yoğun Bakım Hemşireliği Dergisi, 11(2), 96-101.
  • Day, T. E., Sarawgi, S., Perri, A., & Nicolson, S. C. (2015). Reducing postponements of elective pediatric cardiac procedures: Analysis and implementation of a discrete event simulation model. The Annals of Thoracic Surgery, 99(4), 1386-1391.
  • Deirdre, M., Erwin, C. O., & DelliFraine, J. L. (2015). Improving capacity management in the emergency department: A review of the literature, 2000-2012. Journal of Healthcare Management, 60(1), 63-75.
  • Dong, Y., Chbat, N. W., Gupta, A., Hadzikadic, M., & Gajic, O. (2012). Systems modeling and simulation applications for critical care medicine. Annals of intensive care, 2(1), 1-10.
  • Gershengorn, H. B., Chan, C. W., Xu, Y., Sun, H., Levy , R., Armony, M., & Gong , M. N. (2020). The impact of opening a medical step-down unit on medically critically ill patient outcomes and throughput: A difference-in-differences analysis. J Intensive Care Med., 35(5), 425-437.
  • Gupta, D., & Potthoff, S. J. (2016). Matching supply and demand for hospital services. foundations and trends® in technology. Information and Operations Management, 8(3-4), 131–274.
  • Günal, M. M., & Pidd, M. (2010). Discrete event simulation for performance modelling in health care: A review of the literature. Journal of Simulation, 4(1), 42–51.
  • Hershey, J. C., Weiss, E. N., & Cohen, M. A. (1981). A stochastic service network model with application to hospital facilities. Operations Research, 29(1), 1–22.
  • Jack, E. P., & Powers, T. L. (2009). A review and synthesis of demand management, capacity management and performance in health-care services. International Journal of Management Reviews, 11(2), 127-246.
  • Kennedy, M. H. (2009 ). Simulation modeling for the health care manager. Health Care Manag (Frederick), 28(3), 246-252.
  • Khanna, S., Boyle, J., Good, N., & Lind, J. (2012). Unravelling relationships: Hospital occupancy levels, discharge timing and emergency department access block. Emergency Medicine Australasia, 24, 510–517.
  • Kobara, Y. M., Rodrigues, F. F., de Souza, C. P., & Stanford, D. A. (2022). Intensive care unit/step-down unit queuing game with length of stay decisions. Operations Research for Health Care, 34, 1-18.
  • Kreke, J. E., Schaefer, A. J., & Roberts, M. S. (2004). Simulation and critical care modeling. Current opinion in critical care, 10(5), 395–398.
  • Lekwijit, S., Chan, C. W., Green, L. V., Liu, V. X., & Escobar, G. J. (2020). The impact of step-down unit care on patient outcomes after ICU discharge. Crit Care Explor., 2(5), 1-7.
  • Mahmoudian-Dehkordi, A., & Sadat, S. (2020). A generic simulation model of the relative cost-effectiveness of ICU versus step-down (IMCU) expansion. Journal of Intensive Care Medicine, 35(2), 191-202.
  • McNair, C. J., & Vangermeersch , R. (1998). Total capacity management-optimizing at the operational, tactical, and strategic levels. Florida: CRC Press.
  • Mielczarek, B., & Uzia lko-Mydlikowska, J. (2012). Application of computer simulation modeling in the health care sector: a survey. Simulation, 88(2), 197–216.
  • Parks, J. K., Engblom, P., Hamrock, E., Satjapot, S., & Levin, S. (2011). Designed to fail: How computer simulation can detect fundamental flaws in clinic flow. J Healthc Manag., 56(2), 135-144.
  • Plate, J. D., Luke, P. H., Houwert, M., & Hietbrink, F. (2017). Utilisation of intermediate care units: A systematic review. Critical Care Research and Practice, 1-11.
  • Prin, M., Wunsch, H. (2014). The role of stepdown beds in hospital care. American Journal of Respiratory and Critical Care Medicine, 190(11), 1210–1216.
  • Richards, B. F., Fleming, B. J., Shannon, C. N., & Walt, B. C. (2012). Safety and cost effectiveness of step-down unit admission following elective neurointerventional procedures. J Neurointerv Surg., 4(5), 390-392.
  • Rodrigues, F. F., Zaric, G. S., & Stanford, D. A. (2018). Discrete event simulation model for planning Level 2 “step-down” bed needs using NEMS. Operations Research for Health Care, 17, 42-54.
  • Salleh, S., Thokala, P., Brennan, A., Hughes, R.,& Booth, A. (2017). Simulation modelling in healthcare: An umbrella review of systematic literature reviews. PharmacoEconomics, 35(9), 937–949.
  • Shahani, A. K., Ridley, S. A., & Nielsen, M. S. (2008). Modelling patient flows as an aid to decision making for critical care capacities and organisation. Anaesthesia, 63(10), 1074-1080.
  • Smith-Daniels, V., Smith-Daniel, D., & Schweikhart, S. (1988). Capacity management in health care services: Review and future research directions. Decision Sciences, 19(4), 889-919.
  • Terwiesch, C., Diwas, K. C., & Kahn, J. M. (2011). Working with capacity limitations: Operations management in critical care. Crit Care., 15(4), 1-6.
  • Vincent, J. L., & Burchardi, H. (1999). Do we need intermediate care units?, Intensive Care Medicine, 25(12), 1345–1349.
  • Wallace, S. K., Rathi, N. K., Waller, D. K., Ensor, J. E., Haque, S. A., Price, K. J., . . . Nates, J. L. (2016). Two decades of ICU utilization and hospital outcomes in a comprehensive cancer center. Critical Care Medicine, 44(5), 926-933.
  • Zhu, B., Armony, M., & Chan, C. W. (2013). Critical care in hospitals: when to introduce a step down unit. Columbia: Columbia University.
Toplam 39 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Yönetimi
Bölüm Araştırma Makalesi
Yazarlar

Alkan Durmuş 0000-0002-5806-9962

Erken Görünüm Tarihi 23 Aralık 2024
Yayımlanma Tarihi
Gönderilme Tarihi 2 Ocak 2024
Kabul Tarihi 17 Eylül 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 6 Sayı: 2

Kaynak Göster

APA Durmuş, A. (2024). YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA. SDÜ Sağlık Yönetimi Dergisi, 6(2), 181-197.
AMA Durmuş A. YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA. SDÜ Sağlık Yönetimi Dergisi. Aralık 2024;6(2):181-197.
Chicago Durmuş, Alkan. “YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA”. SDÜ Sağlık Yönetimi Dergisi 6, sy. 2 (Aralık 2024): 181-97.
EndNote Durmuş A (01 Aralık 2024) YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA. SDÜ Sağlık Yönetimi Dergisi 6 2 181–197.
IEEE A. Durmuş, “YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA”, SDÜ Sağlık Yönetimi Dergisi, c. 6, sy. 2, ss. 181–197, 2024.
ISNAD Durmuş, Alkan. “YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA”. SDÜ Sağlık Yönetimi Dergisi 6/2 (Aralık 2024), 181-197.
JAMA Durmuş A. YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA. SDÜ Sağlık Yönetimi Dergisi. 2024;6:181–197.
MLA Durmuş, Alkan. “YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA”. SDÜ Sağlık Yönetimi Dergisi, c. 6, sy. 2, 2024, ss. 181-97.
Vancouver Durmuş A. YOĞUN BAKIM ÜNİTELERİNDE KAPASİTE YÖNETİMİ: ARA SERVİS OLUŞTURMA VE BİR UYGULAMA. SDÜ Sağlık Yönetimi Dergisi. 2024;6(2):181-97.


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