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Relevant bibliographies by topics / Maternity Early Warning Tools (MEWTs)

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Journal articles
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Academic literature on the topic 'Maternity Early Warning Tools (MEWTs)'

Author: Grafiati

Published: 17 December 2024

Last updated: 31 July 2025

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Journal articles on the topic "Maternity Early Warning Tools (MEWTs)"

1

Parfitt, Sheryl. "Institution of an Obstetric-Specific Sepsis Protocol Using the Maternal Early Warning Trigger (MEWT) Tool." Journal of Obstetric, Gynecologic & Neonatal Nursing 48, no. 3 (2019): S25. http://dx.doi.org/10.1016/j.jogn.2019.04.042.

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2

Setyowati, Tri Agus, and Mekar Dwi Anggraeni. "Effective application of midwifery early warning in predicting adverse obstetric outcomes and reducing obstetric morbidity in hospitals: A systematic literature review." Malahayati International Journal of Nursing and Health Science 8, no. 3 (2025): 416–33. https://doi.org/10.33024/minh.v8i3.629.

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Background: Several iterations of Early Warning Systems used in the birthing domain for the purpose of identifying and addressing early clinical hazards aim to prevent morbidity and mortality. The potential of early warning systems lies in their ability to improve the quality of health care and reduce the likelihood of maternal death. Purpose: To validate the effectiveness, accuracy and sensitivity of implementing different obstetric early warning systems and physiological triggers to predict morbidity in postnatal wards in high-risk women. Method: A systematic review was conducted in accordan

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3

Bernstein, Samantha. "Scoping Review on the Use of Early Warning Trigger Tools for Women in Labor." Journal of Obstetric, Gynecologic & Neonatal Nursing 50, no. 3 (2021): 256–65. http://dx.doi.org/10.1016/j.jogn.2021.01.003.

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4

Abraham, Nicolette, Nor Aroma Abu Bakar, Atikah Al Aaly, Alaa Moustafa, and Mohammad Nasir Abdul Kudus. "Evaluating Effectiveness of MEOWS Tool in Identifying Maternal Deterioration in Women Receiving Care among Nurses in Maternity Unit, at General Hospital, Dammam." Law, Policy, and Social Science 2, no. 2 (2023): 45–59. http://dx.doi.org/10.55265/lpssjournal.v2i2.41.

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Pregnant women are at risk of obstetric emergencies at all stages of life, including before, during, and after delivery. The lack of tools to help signal healthcare providers to initiate treatment can impact caregivers who cannot rely entirely on clinical judgment. Therefore, to avoid poor maternal outcomes due to delays or errors in maternal management, it is important that all midwifery staff understand the 'early warning signs' and are able to assess the clinical status of the mother using the MEOWS tool. This quantitative design study of the action research type using a cross-sectional met

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5

Paliwoda, Michelle, Karen New, and Fiona Bogossian. "Neonatal Early Warning Tools for recognising and responding to clinical deterioration in neonates cared for in the maternity setting: A retrospective case–control study." International Journal of Nursing Studies 61 (September 2016): 125–35. http://dx.doi.org/10.1016/j.ijnurstu.2016.06.006.

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6

Rashid, Aisha, Ainy Ainy, Javeria Mumtaz, Sana Mariyum, Memoona Munawar, and Bazgha Dilpazir. "DIAGNOSTIC ACCURACY OF MATERNAL EARLY WARNING TOOLS (MEWTS) IN PREDICTING MATERNAL MORBIDITY IN TERMS OF ICU ADMISSION." Journal of Population Therapeutics & Clinical Pharmacology, November 21, 2023, 2494–501. http://dx.doi.org/10.53555/jptcp.v30i18.3479.

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7

Ferguson, Bridget, Adele Baldwin, Clare Harvey, and Amanda Henderson. "Navigating Quality and Innovation: Actor‐Network Theory and Hybrid Assemblages in Midwifery Practice, Implications of Maternity Early Warning Tools and Artificial Intelligence." Nursing Inquiry 32, no. 2 (2025). https://doi.org/10.1111/nin.70001.

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ABSTRACTMidwifery philosophy views childbearing as primarily normal, indicative of a woman's overall health. Midwifery practice focuses on supporting the human‐to‐human relationship between the midwife and the woman holding primacy. Despite the traditional focus on wellness, maternity care in today's risk averse world is increasingly complex. Technology has been increasingly implemented into maternity care to detect complications early and reduce harm. The Maternity Early Warning Tool is a technological innovation in this regard. Actor‐network theory (ANT) offers a framework for analysing the

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8

Slezak, Emilia, Holger Unger, Luis Gadama, and Mary McCauley. "Screening for infectious maternal morbidity - knowledge, attitudes and perceptions among healthcare providers and managers in Malawi: a qualitative study." BMC Pregnancy and Childbirth 22, no. 1 (2022). http://dx.doi.org/10.1186/s12884-022-04583-5.

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Abstract Background Maternal morbidity and mortality related to infection is an international public health concern, but detection and assessment is often difficult as part of routine maternity care in many low- and middle-income countries due to lack of easily accessible diagnostics. Front-line healthcare providers are key for the early identification and management of the unwell woman who may have infection. We sought to investigate the knowledge, attitudes, and perceptions of the use of screening tools to detect infectious maternal morbidity during and after pregnancy as part of routine ant

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9

Slezak, Emilia, Holger Unger, Luis Gadama, and Mary McCauley. "Screening for infectious maternal morbidity - knowledge, attitudes and perceptions among healthcare providers and managers in Malawi: a qualitative study." BMC Pregnancy and Childbirth 22, no. 1 (2022). http://dx.doi.org/10.1186/s12884-022-04583-5.

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Abstract Background Maternal morbidity and mortality related to infection is an international public health concern, but detection and assessment is often difficult as part of routine maternity care in many low- and middle-income countries due to lack of easily accessible diagnostics. Front-line healthcare providers are key for the early identification and management of the unwell woman who may have infection. We sought to investigate the knowledge, attitudes, and perceptions of the use of screening tools to detect infectious maternal morbidity during and after pregnancy as part of routine ant

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10

Ridout, Alexandra E., Francis L. Moses, Simren Herm-Singh, et al. "CRADLE-5: a stepped-wedge type 2 hybrid implementation-effectiveness cluster randomised controlled trial to evaluate the real-world scale-up of the CRADLE Vital Signs Alert intervention into routine maternity care in Sierra Leone—study protocol." Trials 24, no. 1 (2023). http://dx.doi.org/10.1186/s13063-023-07587-4.

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Abstract Background The CRADLE Vital Signs Alert intervention (an accurate easy-to-use device that measures blood pressure and pulse with inbuilt traffic-light early warning system, and focused training package) was associated with reduced rates of eclampsia and maternal death when trialled in urban areas in Sierra Leone. Subsequently, implementation was successfully piloted as evidenced by measures of fidelity, feasibility and adoption. The CRADLE-5 trial will examine whether national scale-up, including in the most rural areas, will reduce a composite outcome of maternal and fetal mortality

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Dissertations / Theses on the topic "Maternity Early Warning Tools (MEWTs)"

1

(9795755), Bridget Ferguson. "Maternity Early Warning Tools and Midwifery Practice - The Coalescence of Perceptions, Practice and Power: A Grounded Theory." Thesis, 2024. https://figshare.com/articles/thesis/Maternity_Early_Warning_Tools_and_Midwifery_Practice_-_The_Coalescence_of_Perceptions_Practice_and_Power_A_Grounded_Theory/28040822.

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<p dir="ltr">Introduction: Quality midwifery practice is vital in achieving favourable perinatal outcomes. Contemporary healthcare is increasingly framed by risk management, which impacts midwifery practice. One risk management strategy is using Maternity Early Warning Tools (MEWTs). This grounded theory study explored the complex interplay between enacting midwifery practice and risk management related to MEWTs. </p><p dir="ltr">Aim: To understand how Australian midwives enact practice when using an Early Warning Tool during intrapartum care. The intrapartum period in this study is defined as

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