PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 19, 2026International Journal of Emergency Services3 citations

Disparities and determinants of EMS response times: a mixed-methods systematic review and LDA-based thematic analysis

View Full Paper
ASAli SoltaniSUShahid UllahFHFaegheh Hedayatibaei

Key Points

  • This research aims to synthesize evidence on factors affecting EMS response times and their impacts on patient outcomes.
  • Conducted systematic searches in Web of Science, PubMed, and Scopus for relevant studies.
  • Included studies focusing on EMS response times and associated mortality and disparities.
  • Reviewed studies for bias using the Cochrane Risk of Bias 2 tool.
  • Performed narrative synthesis and considered meta-analysis when data allowed.
  • Identified five key domains impacting EMS response times: ambulance deployment strategies, mortality correlations, optimal ambulance placement, socioeconomic and geographic disparities, and specialized service performance.
  • Quantitative data showed that strategic placement of ambulances reduced response times and improved survival rates.
  • The study highlights several limitations, including geographic and socioeconomic challenges related to EMS access.

Abstract

Purpose Response times of emergency medical services (EMS) are critical for patient outcomes and survival rates. This review synthesizes evidence on factors affecting EMS response times and their impacts, aiming to identify disparities and recommend optimization strategies. Design/methodology/approach A systematic search was conducted in Web of Science, PubMed and Scopus for English-language studies published between January 1, 2000, and October 20, 2024. Inclusion criteria focused on studies examining EMS response times and associated outcomes, such as mortality and disparities. Exclusion criteria ruled out studies on non-EMS services, case reports and non-English publications. Two independent reviewers screened studies, and risk of bias was assessed using the Cochrane Risk of Bias 2 tool for randomized controlled trials and the Joanna Briggs Institute for observational studies. A narrative synthesis was performed, and meta-analysis was considered where data permitted. Findings Of 105 initial articles, 45 studies met the inclusion criteria. Key findings identified five domains impacting EMS response times: ambulance deployment strategies, mortality correlations, optimal placement of ambulances, socioeconomic and geographic disparities and specialized service performance. Quantitative analysis demonstrated that strategic ambulance placement and addressing inequities reduced response times and improved survival rates. Research limitations/implications This research highlights several limitations, including data limitations, challenges in addressing geographic and socioeconomic disparities and the need to overcome technological and ethical hurdles. Key research implications include fostering multidisciplinary collaboration, conducting longitudinal studies and prioritizing cost-effectiveness. Addressing inequities in access to care is paramount, requiring targeted interventions and a focus on patient-centred care. Integrating technology while ensuring data security and privacy is crucial. Finally, standardized data collection methods and a focus on continuous improvement through rigorous evaluation are essential for optimizing EMS systems globally. Originality/value Although previous systematic reviews have analysed EMS response times and patient outcomes, these studies often fail to address the impact of socio-economic disparities and geographic isolation comprehensively. Furthermore, methodological inconsistencies, including varying definitions of response times, limit comparability across studies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Soltani et al. (2026) studied this question.

synapsesocial.com/papers/69bb9313496e729e62980ef4https://doi.org/10.1108/ijes-01-2025-0002
Ask AI
Helpful
Bookmark
Share
View Full Paper