Obstetric triage has become one of the most crucial innovations in the field of perinatal care in the past 15 years. In lower- middle- income countries (LMICs), the pregnant patients are seen in a conventional way based on the time of their arrival; this divergent, unbalanced and inequitable approach results in delayed initial evaluation, prolonged length of stay (LOS) and affected clinical outcomes.This project aimed at implementing an effective and efficient obstetric triage system with improved throughput and care processes within six months to facilitate timely decision making according to the individualized needs of pregnant patients.A pre-implementation audit was completed for the core evaluation of existing obstetric triage services, followed by a fishbone analysis. Following the Donabedian model for quality care, a quality improvement project was initiated to redesign the obstetric triage system. The project strategy was implemented as part of six PDSA (Plan- Do -Study- Act) cycles to optimize the structure, processes, and obstetric triage outcomes. The triage paradigm moved from time-based care delivery to priority care, and processes were improved based on Angelini’s recommendations of best practices in obstetric triage. During the initial phase of improvement, the identified outcome measures were waiting time of 5 minutes from arrival to initial assessment, LOS of 120 minutes, and acuity-based care for at least 50% of patients. A post-implementation audit was conducted to assess improvements. The results showed that the LOS at triage reduced from 240 min (4 hours) to 60 min (1 hour) within 6 months. Furthermore, wait times for triage decreased significantly to 5 min in 65% of patients, compared with 6% in traditional triage practice.The results indicate that the traditional triage model of the ‘order of arrival’ process is inefficient in providing adequate obstetric care. This quality initiative facilitated the successful incorporation of the Donabedian model and best practice triage practices and helped achieve desired outcomes of improved LOS and reduced waiting time with acuity-based care. Therefore, the design of an efficient,and the appropriate obstetric triage system can be adopted by other healthcare institutions in a local setting that can facilitate patient centric care.

Objectives: To determine the cause of stillbirth after application of relevant condition at death (ReCoDe) classification system. Methods: This was a retrospective cross sectional study of 207 women diagnosed with stillbirth after 24 completed weeks of pregnancy at the Aga Khan University Hospital (AKUH), Karachi between 1st January 2015 and 31st December 2019. The primary objective was to find the cause of stillbirth according to the new classification of relevant condition at death (ReCoDe). Results: There were a total of 32413 live births and 207 stillbirths during the study period thus stillbirth rate of 6 per 1000 live births. In this study, 80% of women were in the age group of 20-35 years, 16% had advanced maternal age while 3.8% of women accounted for less than 20 years. Among the maternal factors; 54.5% cases were booked and the remaining were were un-booked cases. Pre-eclampsia was the most common associated maternal condition (14.9%). Fetal cause accounted for 34.7% of stillbirths and the fetal growth restriction (FGR) was the most common; 23.6%. After application of ReCoDe classification, in 81% of stillbirth cases associated condition were found and only 18.8% of cases were categorized unexplained. Conclusion: Application of ReCoDe classification is easy to understand and applicable, especially in low resource settings with associated causes identified in vast majority of cases. doi: https://doi.org/10.12669/pjms.38.1.4470 How to cite this:Kashif U, Bhamani S, Patel A, Shamsul Islam Z. Still Birth classification: Application of Relevant Condition at Death (ReCoDe) classification system in a tertiary care hospital of Pakistan. Pak J Med Sci. 2022;38(1):133-137.  doi: https://doi.org/10.12669/pjms.38.1.4470 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ation, due to development of Tehri dam reservoir & migration of laborers from endemic areas. Also, possibility of upstream move of sandflies along the Ganges from endemic zone can't be excluded as has been suspected in our study. Conclusion:Clinicians of the non-endemic zone should suspect VL in patients with fever of unknown origin and have a high suspicion in cases of HLH and liver involvement and vice versa. Atypical manifestation like kidney involvement is seen in 1/3rd VL cases. The leishmaniasis prevalent in these areas should further subject to comparison with endemic parts and a large-scale study is needed to find the reason for the rising vector from the holy Himalayas.