Handini Diny Rachma Putri, Dewi Arlina. Applying HFMEA to prevent response time delay of emergency cesarean section surgery service

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Abstract

Background: Patient safety is crucial for enhancing hospital care quality. Many medical errors are preventable, and a high incidence of adverse events and near-misses in hospitals indicates room for improvement. The identification and mitigation of potential failure modes within a service process can prevent numerous adverse events. One effective approach involves identifying failure modes within the service process. Healthcare failure mode and effect analysis (HFMEA), based on a systems approach to problem-solving, is an important aspect of patient safety efforts. According to national quality indicators, emergency obstetric services should be capable of initiating caesarean delivery within 30 minutes of the decision to operate.

Objective: To identify failure modes in the patient service process for emergency cesarean sections and the root causes of failures in subprocesses.

Materials and methods: This qualitative study was presented descriptively and involved focus group discussions with personnel directly involved in the service process of emergency cesarean section surgery.

Results: Eleven process flows were identified in the emergency cesarean section surgery service, encompassing 16 service subprocesses, and more than 30 failure modes were discovered across all service subprocesses. Of these, five failure modes necessitated follow-up and action.

Conclusion: This study highlights five critical failure modes that require attention. This suggests the need to enhance the flow of the emergency cesarean section service process and boost the commitment of all service providers.

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About the authors

Diny Rachma Putri Handini

Universitas Muhammadiyah

Author for correspondence.
Email: dinyrachma@gmail.com
ORCID iD: 0009-0003-5093-2287

Master of Hospital Administration

Indonesia, Yogyakarta

Arlina Dewi

Universitas Muhammadiyah

Email: dewikoen@gmail.com
ORCID iD: 0000-0002-5265-591X

Master of Hospital Administration

Indonesia, Yogyakarta

References

  1. World Health Organization, United Nations Population Fund, World Bank, United Nations Population Division & United Nations Children's Fund (UNICEF). Trends in maternal mortality: 1990 to 2013: estimates by WHO, UNICEF, UNFPA, The World Bank and the United Nations Population Division: executive summary. World Health Organization. https://iris.who.int/handle/10665/112697
  2. Neggers Y.H. Trends in maternal mortality in the United States. Reprod. Toxicol. 2016;64:72-6. https://dx.doi.org/10.1016/j.reprotox.2016.04.001.
  3. Khan K.S., Wojdyla D., Say L. Gülmezoglu A.M., Van Look P.F. WHO analysis of causes of maternal death: a systematic review. Lancet. 2006;367(9516):1066-74. https://dx.doi.org/10.1016/S0140-6736(06)68397-9.
  4. Indonesia 2012 DHS. Stud. Fam. Plann. 2014;45(3):399-409. https://dx.doi.org/10.1111/j.1728-4465.2014.00399.x.
  5. Miller J.M. Maternal and neonatal morbidity and mortality in cesarean section. Obstet. Gynecol. Clin. North Am. 2015;15(4):629-38.
  6. Dunn C.N., Zhang Q., Sia J.T., Assam P.N., Tagore S., Sng B.L. Evaluation of timings and outcomes in category-one caesarean sections: A retrospective cohort study. Indian J. Anaesth. 2016;60(8):546-51. https://dx.doi.org/10.4103/ 0019-5049.187782.
  7. Liu H.C., Zhang L.J., Ping Y.J., Wang L. Failure mode and effects analysis for proactive healthcare risk evaluation: A systematic literature review. J. Eval. Clin. Pract. 2020;26(4):1320-37. https://dx.doi.org/10.1111/jep.13317.
  8. Thornton E., Brook O.R., Mendiratta-Lala M., Hallett D.T., Kruskal J.B. Quality initiatives: application of failure mode and effect analysis in a radiology department. Radiographics. 2011;31(1):281-93. https://dx.doi.org/10.1148/rg.311105018.
  9. Indiati, Wardhani V., Andarini S. Healthcare failure mode and effect analysis: proses pelayanan operasi di rumah sakit. Jurnal Manajemen Pelayanan Kesehatan. 2012;15(4):166-74.
  10. Nagpal K., Vats A., Lamb B., Ashrafian H., Sevdalis N., Vincent C., Moorthy K. Information transfer and communication in surgery: a systematic review. Ann. Surg. 2010;252(2):225-39. https://dx.doi.org/10.1097/SLA.0b013e3181e495c2
  11. Gaur K. Systematic and quantitative assessment and application of FMEA and Lean six sigma for reducing non productive time in operation theatre of a tertiary care hospital in a metropolis. Perioperative Care and Operating Room Management. 2019; 16: 100075. https://dx.doi.org/10.1016/ j.pcorm.2019.100075.
  12. DeRosier J., Stalhandske E., Bagian J.P., Nudell T. Using health care failure mode and effect analysis: the VA National Center for patient safety’s prospective risk analysis system. Jt. Comm. J. Qual. Improv. 2002;28(5):248-67. https://dx.doi.org/10.1016/S1070-3241(02)28025-6.
  13. Anjalee J.A.L., Rutter V., Samaranayake N.R. Application of failure mode and effect analysis (FMEA) to improve medication safety: a systematic review. Postgrad. Med. J. 2021;97(1145):168-74. https://dx.doi.org/10.1136/postgradmedj-2019-137484.
  14. Ganap E.P., Hakimi M., Hadijono S., Emilia O. Impact of obstetrician/gynecologist hospitalists on response time of obstetric emergency operation in Sardjito General Hospital Yogyakarta Indonesia: a retrospective cohort study. Jurnal Kesehatan Reproduksi. 2016;3(3): 143-8.
  15. Le Mitouard M., Gaucher L., Huissoud C., Gaucherand P., Rudigoz R.-C., Dupont C., Cortet M. Decision-delivery intervals: Impact of a colour code protocol for emergency caesareans. Eur. J. Obstet. Gynecol. Reprod. Biol. 2020;246:29-34. https://dx.doi.org/10.1016/j.ejogrb.2019.12.027.
  16. Gunawan T., Attamimi A., Pradjatmo H. Hubungan response time seksio sesarea emergensi kategori 1 dengan luaran perinatal di RSUP Dr. Sardjito. Jurnal Kesehatan Reproduksi. 2018;5(1):60-71. https://dx.doi.org/10.22146/ jkr.37997.

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