Quality Improvement & Audits Flashcards

A hospital's clinical audit reveals that 78% of patients with community-acquired pneumonia received antibiotics within 4 hours of admission, against a standard of 90%. When analyzing the root cause using a fishbone diagram, the team identifies that the delay predominantly occurs between physician order and pharmacy dispensing. Which quality improvement methodology is MOST appropriate for the next phase of this project?

Answer: Lean value stream mapping to eliminate non-value-added steps in the medication dispensing workflow

Since the root cause is identified as a process delay in the pharmacy dispensing workflow — not variation in clinical decision-making or knowledge gaps — Lean value stream mapping is the most appropriate tool. It systematically identifies and eliminates waste (waiting, redundant steps) in a defined workflow. Six Sigma DMAIC addresses variation in outcomes (not applicable here since the bottleneck is structural), PDSA on physician education targets the wrong root cause, and benchmarking alone does not drive process improvement.

During a re-audit cycle in a DHA-accredited facility, a quality officer discovers that compliance with hand hygiene protocols improved from 62% to 88% — exceeding the 85% target. However, the hospital infection rates have NOT decreased correspondingly. Which concept BEST explains this discrepancy?

Answer: Hawthorne effect causing artificial compliance inflation during the audit period

The Hawthorne effect — where individuals improve behavior when they know they are being observed — is the most plausible explanation for a rapid, large compliance gain that is not mirrored in outcome data. If staff complied only during the audit observation period, true hand hygiene rates remain low, explaining the lack of improvement in infection rates. While type II error, evidence base, and secular trends are valid considerations, the context of an audit re-measurement with a sharp compliance jump most directly points to observation bias (Hawthorne effect).

A DHA quality committee is using the Failure Mode and Effects Analysis (FMEA) tool proactively on a newly implemented electronic medication reconciliation system. After scoring all failure modes, one mode has a Severity of 9, Occurrence of 2, and Detectability of 3. Another has Severity of 5, Occurrence of 6, and Detectability of 4. Which failure mode should be prioritized, and why?

Answer: The first failure mode (RPN = 54), because high severity scores represent catastrophic patient harm and must take precedence regardless of overall RPN

While RPN (Severity × Occurrence × Detectability) is the primary FMEA ranking tool, a Severity score of 9 indicates a potentially catastrophic or fatal outcome. In healthcare FMEA, expert consensus and accreditation standards (including Joint Commission and CBAHI-aligned frameworks used by DHA) mandate that ANY failure mode with a Severity of 9 or 10 must be actioned regardless of its overall RPN — because even a rare, detectable catastrophic event is unacceptable. The higher RPN of 120 is important but the severity override takes precedence in clinical safety contexts.

In the context of the DHA Quality and Patient Safety framework, a Root Cause Analysis (RCA) is completed following a never event (wrong-site surgery). The RCA team proposes the following corrective actions: (1) mandatory re-training for the involved surgeon, (2) implementation of a pre-operative briefing checklist, (3) revision of the site-marking policy, and (4) disciplinary action against the circulating nurse. Which action represents the HIGHEST level of the Hierarchy of Effectiveness for error prevention?

Answer: Revision of the site-marking policy

The Hierarchy of Effectiveness (also called the Hierarchy of Controls in patient safety) ranks interventions from most to least reliable. Policy and procedural redesign (forcing functions, standardization at the system level) ranks higher than checklists or training because it creates a systemic constraint that does not rely on individual memory or behavior. Revising the site-marking policy changes the system itself. A briefing checklist is a valuable barrier but depends on human compliance. Re-training and disciplinary action are the lowest tiers — they target individuals rather than the system and are the least effective at preventing recurrence.

A quality improvement team at a DHA facility uses a Statistical Process Control (SPC) chart to monitor monthly central line-associated bloodstream infection (CLABSI) rates. After implementing a new insertion bundle, the chart shows 8 consecutive monthly data points all below the centerline. What is the CORRECT interpretation of this pattern?

Answer: This constitutes a 'run' signal, indicating a non-random shift in the process that likely reflects a real improvement

In SPC theory, 8 (or more) consecutive data points on the same side of the centerline is a recognized 'run rule' signal of special cause variation — meaning the shift is almost certainly non-random and reflects a real change in the underlying process. This is a positive finding here, indicating the insertion bundle is working. The lower control limit has not necessarily been breached (points can be below the mean without breaching the LCL). The '20 data points' threshold applies to establishing reliable control limits, not to interpreting run signals on an established chart.

A DHA-accredited hospital conducts a criterion-based clinical audit on the management of acute myocardial infarction (AMI). The audit finds 94% compliance overall, but disaggregated analysis reveals compliance drops to 61% for female patients over 70 years of age. The quality committee decides NOT to close the audit loop and instead presents the overall 94% figure to leadership as a success. Which audit principle has been MOST seriously violated?

Answer: Equity and disaggregation — failure to report subgroup disparities masks a significant quality and safety gap

The most serious violation is the failure to disaggregate and report subgroup data — a core principle of equitable audit practice and patient safety. Presenting an aggregate 94% compliance rate while concealing a 61% rate in a vulnerable subgroup (elderly females) constitutes a form of measurement bias that hides a critical disparity in care. This violates the principle that audits must identify inequities in care delivery, not obscure them. Criterion validity, confidentiality, and reliability issues are not supported by the scenario description; the deliberate suppression of disaggregated data is the core ethical and methodological failure.