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Development and validation of trigger tools in primary care: A scoping review

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  • Inge Dhamanti
  • Elida Zairina
  • Ida Nurhaida
  • Salsabila Salsabila
  • Fitri Yakub

Abstract

In primary care, trigger tools have been utilized to evaluate and identify patient safety events. The use of trigger tools could help clinicians and patients detect adverse events in a patient’s medical record. Due to a lack of research on the process development of trigger tools in primary care, the purpose of this scoping review is to investigate the trigger development and validation process in primary care settings. A scoping review methodology was used to map the published literature using the Joanna Briggs Methodology of performing scoping review. We considered only studies published in English in the last five years and included both qualitative and quantitative study designs. The final review included five articles. The primary care and combined primary-secondary care studies are included to gain more knowledge in the process development and validation of trigger tools. The trigger tool development process begins with clearly defining the triggers, which are then programmed into a combined computerized algorithm. The validation process was then carried out in two steps by both physician and non-physician experts for content and concurrent validity. The sensitivity, specificity, and positive predictive value (PPV) of the final algorithm were critical in determining the validity of each trigger. This study provided a comprehensive guide to developing trigger tools, emphasizing the importance of precisely defining triggers through a thorough literature review and dual validation process. There were similarities in the development and validation of trigger tools across primary care and hospital settings, allowing primary care to learn from hospital settings.

Suggested Citation

  • Inge Dhamanti & Elida Zairina & Ida Nurhaida & Salsabila Salsabila & Fitri Yakub, 2025. "Development and validation of trigger tools in primary care: A scoping review," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-13, January.
  • Handle: RePEc:plo:pone00:0308906
    DOI: 10.1371/journal.pone.0308906
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    1. repec:plo:pone00:0232095 is not listed on IDEAS
    2. Sung-Hee Hwang & Young-Mi Ah & Kwang-Hee Jun & Jae-Woo Jung & Min-Gyu Kang & Hye-Kyung Park & Eui-Kyung Lee & Hye-Kyung Park & Jee-Eun Chung & Sang-Heon Kim & Ju-Yeun Lee, 2021. "Development and Validation of a Trigger Tool for Identifying Drug-Related Emergency Department Visits," IJERPH, MDPI, vol. 18(16), pages 1-10, August.
    3. Bharath Dandala & Venkata Joopudi & Murthy Devarakonda, 2019. "Adverse Drug Events Detection in Clinical Notes by Jointly Modeling Entities and Relations Using Neural Networks," Drug Safety, Springer, vol. 42(1), pages 135-146, January.
    4. Abhyuday Jagannatha & Feifan Liu & Weisong Liu & Hong Yu, 2019. "Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0)," Drug Safety, Springer, vol. 42(1), pages 99-111, January.
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