Literature DB >> 18584494

Ability of the medical priority dispatch system protocol to predict the acuity of "unknown problem" dispatch response levels.

Jeff Clawson1, Christopher Olola, Andy Heward, Brett Patterson, Greg Scott.   

Abstract

OBJECTIVE: To determine if Medical Priority Dispatch System's (MPDS's) Protocol 32-Unknown Problem interrogation-based differential dispatch coding distinguishes the acuity of patients as found at the scene by responders, when little (if any) clinical information is known.
METHODS: "Unknown problem" situations (i.e., all cases not fitting into any other chief complaint group) constitute 5-8% of all calls to dispatch centers. From the total patient encounters (n=599,107) in the aggregate data of one year (September 2005 to August 2006), we examined 3,947 (0.7%) encounters initially coded as "unknown problem" by the London Ambulance Service Communications Center for the scene presence of cardiac arrest (CA) and paramedic-determined high-acuity (blue-in [BI]/"lights and siren") findings. Odds ratios (ORs) with 95% confidence intervals (95% CIs) and p-values were used to assess the degree of associations between determinant codes and case outcomes (i.e., CA/BI).
RESULTS: Statistically significant association between clinical dispatch determinant codes and case outcomes was observed in the "life status questionable" (LSQ; DELTA-1 [D-1]) and the "standing, sitting, moving, or talking" (BRAVO-1 [B-1]) code pair for the CA outcome (OR [95% CI]: 0.11 [0, 0.63], p=0.005) and for the BI outcome (OR [95% CI]: 0.47 [0.28, 0.77], p=0.003). The LSQ and all three code pairs (i.e., B-1; "community alarm notifications" [B-2]; and "unknown status" [B-3]) also demonstrated significant associations both with the CA outcome (OR [95% CI]: 0.43 [0.23, 0.81], p=0.010) and with the BI outcome (OR [95% CI]: 0.74 [0.56, 0.97], p=0.033). All the determinant code levels yielded significant association between BI and CA cases.
CONCLUSION: This dispatch protocol for unknown problems successfully differentiates dispatch coding of low-acuity and non-CA patients only when specific situational information such as the patient's standing, sitting, moving, or talking can be determined during the interrogation process. Also, emergency medical dispatcher (EMD) reliance on caller-volunteered information to identify predefined critical situations does not appear to add to the protocol's ability to differentiate high-acuity and CA patients. LSQ proved to be a better predictor of both CA and BI outcomes, when compared with the BRAVO-level determinant codes within the "unknown problem" chief complaint. The B-3 (completely unknown) determinant code is a better predictor of severe outcomes than nearly all of the clinically similar BRAVO determinant codes in the entire MPDS protocol. Hence, the B-3 coding should be considered-in terms of its predictability for severe outcome-as falling somewhere between a typical DELTA and a typical BRAVO determinant code.

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Year:  2008        PMID: 18584494     DOI: 10.1080/10903120802100787

Source DB:  PubMed          Journal:  Prehosp Emerg Care        ISSN: 1090-3127            Impact factor:   3.077


  4 in total

1.  Detailed analysis of prehospital interventions in medical priority dispatch system determinants.

Authors:  Karl A Sporer; Nicholas J Johnson
Journal:  West J Emerg Med       Date:  2011-02

2.  Non-specific complaints in the ambulance; predisposing structural factors.

Authors:  Maaret Castrén; Lisa Kurland; Sofia Liljegard; Therese Djärv
Journal:  BMC Emerg Med       Date:  2015-05-15

3.  Implementing a nationwide criteria-based emergency medical dispatch system: a register-based follow-up study.

Authors:  Mikkel S Andersen; Søren Paaske Johnsen; Jan Nørtved Sørensen; Søren Bruun Jepsen; Jesper Bjerring Hansen; Erika Frischknecht Christensen
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2013-07-09       Impact factor: 2.953

4.  Variations in contact patterns and dispatch guideline adherence between Norwegian emergency medical communication centres--a cross-sectional study.

Authors:  Eirin N Ellensen; Steinar Hunskaar; Torben Wisborg; Erik Zakariassen
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2014-01-08       Impact factor: 2.953

  4 in total

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