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EM SAQsQuality and ED metrics

EM SAQs · Quality and ED metrics

NEAT decline — Donabedian, run chart and PDSA

ACEM-style SAQ on ED quality metrics, SPC thinking and PDSA.

12 marks12 min1 min readVerification in progress

Target exams

ACEMFRCEMABEM
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Study tools

Target exams

ACEMFRCEMABEM
Prompt
You are the emergency department quality lead. Departmental NEAT compliance has fallen from 78% to 64% over six months. A weekly run chart of the proportion of patients discharged or admitted within four hours is provided and shows six consecutive points below the median. (a) Outline the Donabedian framework with one ED example of each domain (3 marks). (b) Interpret the run chart (common-cause vs special-cause) (3 marks). (c) Describe a PDSA cycle aimed at door-to-doctor time (4 marks). (d) Name two unintended consequences of a four-hour target (2 marks).

Model answer

Reveal model answerShowHide

(a) Donabedian. Structure = resources (staffing roster, cubicles, equipment). Process = care delivery metrics (NEAT compliance, door-to-antibiotic, door-to-ECG). Outcome = results that matter to patients (mortality, 7-day revisit, patient experience) — e.g. hospital overcrowding is associated with higher mortality among adults admitted via ED.[3][1] Structure enables process, which drives outcome.

(b) Run chart. A shift of six consecutive points on one side of the median is a probability-based rule for special-cause variation — not random noise. Investigate assignable causes (e.g. access block, staffing, process redesign failure). Do not “tamper” with common-cause points as if each is a crisis. Sustained deterioration matters clinically: hospital overcrowding and prolonged ED waiting times are both associated with increased mortality.[5][1][2]

(c) PDSA for door-to-doctor. Plan: aim (e.g. median door-to-doctor reduced by 15 minutes in ATS 3), measures, written prediction. Do: small test (e.g. one shift rapid-assessment streaming). Study: compare run chart to prediction. Act: adopt/adapt/abandon; scale if successful. Address output-side access block in parallel — overcrowding is associated with increased mortality, so ED-floor fixes alone will not hold.[4][1]

(d) Unintended consequences. Gaming (premature discharge, decision-to-admit timed to the clock, short-stay unit inflation — exam doctrine of gaming); rushed, incomplete assessment to meet the target. Four-hour pressure carried quality-and-safety costs even where flow improved, so critique the metric, not timely flow itself.[6][2]

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References6ShowHide
  1. [1]Sprivulis PC, Da Silva JA, Jacobs IG, et al. The association between hospital overcrowding and mortality among patients admitted via Western Australian emergency departments. Med J Aust, 2006.PMID 16515429
  2. [2]Guttmann A, Schull MJ, Vermeulen MJ, et al. Association between waiting times and short term mortality and hospital admission after departure from emergency department: population based cohort study from Ontario, Canada. BMJ, 2011.PMID 21632665
  3. [3]Donabedian A Evaluating the quality of medical care. Milbank Mem Fund Q, 1966.PMID 5338568
  4. [4]Taylor MJ, McNicholas C, Nicolay C, et al. Systematic review of the application of the plan-do-study-act method to improve quality in healthcare. BMJ Qual Saf, 2014.PMID 24025320
  5. [5]Anhøj J Diagnostic value of run chart analysis: using likelihood ratios to compare run chart rules on simulated data series. PLoS One, 2015.PMID 25799549
  6. [6]Forero R, Man N, Nahidi S, et al. When a health policy cuts both ways: Impact of the National Emergency Access Target policy on staff and emergency department performance. Emerg Med Australas, 2020.PMID 31595671
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