Coursework – Clinical Governance and a Quality Improvement Project on Hand Hygiene

Introduction

Clinical governance is the system through which health services are accountable for improving care while safeguarding standards already achieved (Scally & Donaldson, 1998). In Australia the concept carries regulatory force: Standard 1 of the National Safety and Quality Health Service (NSQHS) Standards requires every accredited service to demonstrate an integrated clinical governance system, and the National Model Clinical Governance Framework specifies its five components (Australian Commission on Safety and Quality in Health Care [ACSQHC], 2017, 2021). Hand hygiene tests whether such a system works, being at once the most effective single measure against healthcare-associated infection (HAI) and the most reliably neglected (World Health Organization [WHO], 2009).

This coursework analyses the pillars of clinical governance, then reports a quality improvement (QI) project on Ward 4B, a hypothetical 32-bed surgical ward in a metropolitan New South Wales public hospital, using the Model for Improvement and Plan-Do-Study-Act (PDSA) cycles (Langley et al., 2009). Ward figures are invented but modelled on published National Hand Hygiene Initiative (NHHI) and NSW patterns.

Clinical Governance and Its Pillars

The Australian model sets out five interdependent components, each generating obligations for a ward infection prevention program (ACSQHC, 2017):

1. Governance, leadership and culture. The governing body owns clinical risk and clinical leaders set the behavioural norm, so compliance is a leadership artefact.
2. Patient safety and quality improvement systems. Structured improvement methods, incident management and credentialled auditing convert data into corrective action.
3. Clinical performance and effectiveness. Practice is measured against evidence-based standards and variation is investigated, not tolerated.
4. Safe environment for the delivery of care. The environment must make correct practice the path of least resistance, including product at the point of care.
5. Partnering with consumers. NSQHS Standard 2 positions patients as safety participants, entitled to ask whether a clinician has cleaned their hands.

Hand hygiene sits at the intersection of all five. NSQHS Standard 3, Preventing and Controlling Infections, obliges services to run a hand hygiene program consistent with the NHHI and the Australian Guidelines for the Prevention and Control of Infection in Healthcare (ACSQHC, 2021; National Health and Medical Research Council [NHMRC], 2019). The NHHI, run for its first decade by Hand Hygiene Australia and now by the Commission, supplies the national infrastructure: the WHO Five Moments tool, a credentialled auditor scheme, standardised definitions and public reporting against an 80% benchmark (ACSQHC, 2023; Grayson et al., 2011). In New South Wales the Clinical Excellence Commission adds district surveillance of healthcare-associated Staphylococcus aureus bloodstream infection (SAB) (Clinical Excellence Commission [CEC], 2022).

The significance is accountability rather than instruction. Because compliance data are credentialled, benchmarked and externally reportable, a persistently underperforming ward is a governance failure requiring escalation. Australian evidence shows HAI imposes considerable excess cost and length of stay (Mitchell et al., 2017), so the measure proxies organisational competence.

The Local Problem and Baseline Audit

Ward 4B is a 32-bed general surgical unit averaging 89% occupancy. Over the preceding 12 months it recorded three healthcare-associated SAB episodes. Occupied bed days (OBDs) were 32 × 365 × 0.89 = 10,395, giving (3 / 10,395) × 10,000 = 2.89 per 10,000 OBDs against a national benchmark of 1.0. A four-week baseline audit by two credentialled auditors captured 640 moments across all shifts (Table 1).

Table 1: Baseline hand hygiene audit, Ward 4B, 640 observed moments over four weeks

Note. Values are modelled estimates for this coursework; each panel totals 640 moments.

Compliance rate = (compliant moments / observed moments) × 100 = (467 / 640) × 100 = 72.97%, reported as 73.0%.

Precision matters when comparing a ward with a benchmark. The 95% confidence interval is 1.96 × √(0.73 × 0.27 / 640) = ±3.4 percentage points, a range of 69.6% to 76.4%, so the ward sits below the benchmark with reasonable confidence. Closing the gap requires 0.80 × 640 = 512 compliant moments, 45 more than the 467 observed.

Disaggregation shows where those 45 moments lie. Moment 5 is weakest at 50.9%, consistent with the pattern that moments protecting the patient rather than the clinician attract lower adherence (WHO, 2009). Lifting Moment 5 to 80% would yield 0.80 × 106 = 85 compliant moments, an increase of 31, raising the overall rate to 498 / 640 = 77.8%. Lifting medical officers from 58.8% to the nursing level of 78.0% would yield 0.78 × 148 = 115, an increase of 28, giving 495 / 640 = 77.3%. The levers overlap, since some missed Moment 5 opportunities belong to medical staff, but either alone approaches the benchmark.

Improvement Aim and Change Theory

The Model for Improvement frames the project through three questions: what the team aims to accomplish, how change will be recognised as improvement, and which changes will produce it (Langley et al., 2009). The aim was to raise compliance on Ward 4B from 73.0% to at least 85% within six months, with no category below 75%. Figure 1 expresses the theory of change as a driver diagram linking that aim to three primary drivers and the ideas tested in each cycle.

The Intervention Bundle

The bundle was deliberately multimodal, because single-component education campaigns produce transient gains that decay once attention moves elsewhere (WHO, 2009). Four elements were combined. First, system change: an alcohol-based hand rub (ABHR) dispenser was mounted at every bed space rather than at bay entrances, and empty-dispenser checks joined the morning safety checklist. Second, targeted education: a five-minute bedside module on Moment 5 with return demonstration addressed the misconception that touching a bed rail, infusion pump or overbed table is not patient contact. Third, feedback: discipline-specific results were displayed fortnightly on the ward safety board. Fourth, accountability: each surgical team nominated a medical champion who modelled compliance on rounds, addressing the 19.2 percentage point gap between medical and nursing staff.

The bundle changes the physical environment before asking for behaviour change, and locates responsibility with clinical leaders rather than junior staff, consistent with the obligation of registered nurses to practise safely and support colleagues to do so (Nursing and Midwifery Board of Australia [NMBA], 2018).

PDSA Cycles

Three sequential cycles ran over 26 weeks. Each specified a prediction before implementation, the feature most often omitted when PDSA becomes a label for unstructured activity rather than a test of theory (Reed & Card, 2016). Table 2 summarises them.

Table 2: PDSA cycle summary for the Ward 4B hand hygiene project

Run Chart Interpretation

Weekly samples of about 50 moments were plotted against a baseline median of 73% and interpreted using standard probability-based run chart rules (Perla et al., 2011). The four baseline points clustered tightly around the median, indicating common cause variation and a stable underlying system.

After Cycle 1 the points moved to 74%, 78%, 76% and 79%, too short a rise to constitute a signal. The decisive evidence came in Cycle 2, when eight consecutive points from weeks 9 to 16 fell above the median (82%, 80%, 84%, 83%, 85%, 82%, 86% and 84%). Six or more consecutive points on one side of the median constitute a shift, so the pattern supports the inference that point-of-care dispensers and medical champions changed the process rather than coincided with it.

Week 19 produced a single point of 71%, below the median. Treating one point as a signal is a classic misuse of run charts, so the response was investigation, not intervention: roster review attributed the dip to a winter respiratory surge with high agency staffing, which informed Cycle 3. The final seven points averaged (80 + 84 + 85 + 87 + 86 + 88 + 87) / 7 = 597 / 7 = 85.3%, meeting the aim. Weeks 20 to 23 rose consecutively, but four ascending points fall short of the five required to declare a trend.

Measurement Framework

Credible improvement work reports outcome, process and balancing measures together, so gains are not claimed without evidence of mechanism or harm. Table 3 sets out the framework.

Table 3: Outcome, process and balancing measures for the Ward 4B project

Consumption confirmed the mechanism. With quarterly OBDs of 91 × 32 × 0.89 = 2,592, baseline usage of 47.7 L gave (47.7 / 2,592) × 1,000 = 18.4 L per 1,000 OBDs, rising to 27.1 L after Cycle 2. Marginal cost at roughly A$24 per litre was (70.2 – 47.7) × 24 = A$540 per quarter, or A$2,160 annually. Because Australian estimates place the excess cost of one healthcare-associated bloodstream infection well above A$25,000 (Mitchell et al., 2017), the bundle is justified if it prevents a fraction of an episode a year.

Sustainability

Improvement decay after a project team withdraws is normal, so sustainability was designed in rather than appended. Auditing was devolved to two ward-based credentialled auditors with protected time, so measurement survives the project. The Moment 5 module and the dispenser check sit inside ward orientation and the morning safety checklist, requiring no new process. Reporting was aligned to the facility infection prevention and control committee and the NSQHS accreditation portfolio, giving the data an institutional consumer beyond the ward.

Sustainability also depends on how data are used. If audit results become an instrument of blame, observation is gamed and reported compliance rises while practice does not. The balancing measure in Table 3 detects this, and the ward applies a just-culture distinction between human error, at-risk and reckless behaviour, with only the last attracting a disciplinary response.

Escalation and Accountability

Escalation thresholds were agreed in advance so governance action does not depend on individual judgement. Two consecutive audit periods below 80% trigger a formal report from the nursing unit manager to the facility infection prevention and control committee. Any discipline below 70% triggers a written response from the head of department. Any healthcare-associated SAB episode triggers review under the NSW Health incident management framework, reported to the district clinical governance unit (CEC, 2022). Persistent failure enters the corporate risk register, rated major consequence with possible likelihood, requiring executive sponsorship and quarterly board review.

Individual accountability is the final and most cautiously applied layer. The NMBA Code of Conduct for Nurses obliges practitioners to practise safely and to raise concerns about unsafe practice (NMBA, 2018), so repeated non-compliance after education, coaching and support becomes a local performance matter. Regulatory notification is reserved for conduct placing patients at substantial risk.

Limitations

Three limitations qualify the findings. Direct observation is subject to the Hawthorne effect, so audited compliance overstates unobserved practice, which is why ABHR consumption was retained. Ward-level SAB counts are too small for inference, so any reduction is descriptive. A single-ward design cannot exclude concurrent influences such as seasonal case mix; the run chart supports non-random change but not an effect size (Perla et al., 2011; Reed & Card, 2016).

Conclusion

The project demonstrates that hand hygiene performance is a governance variable, not a matter of individual conscientiousness. A baseline of 73.0% concealed an addressable structure: Moment 5 at 50.9% and medical officers at 58.8% accounted for most of the deficit, and either alone could carry the ward close to the benchmark. A multimodal bundle that changed the environment, targeted the weakest moment, engaged clinical leaders and fed results back produced a shift on the run chart and a sustained mean of 85.3%. More importantly, it embedded measurement, thresholds and escalation in existing structures, so performance is visible to the clinical governance unit rather than dependent on a project team. That combination of method and accountability is what the NSQHS Standards are designed to produce (ACSQHC, 2021).

References

Australian Commission on Safety and Quality in Health Care. (2017). National model clinical governance framework. ACSQHC.

Australian Commission on Safety and Quality in Health Care. (2021). National safety and quality health service standards (2nd ed.). ACSQHC.

Australian Commission on Safety and Quality in Health Care. (2023). National Hand Hygiene Initiative manual. ACSQHC.

Clinical Excellence Commission. (2022). Healthcare associated infection program: Annual report. NSW Health.

Grayson, M. L., Russo, P. L., Cruickshank, M., Bear, J. L., Gee, C. A., Hughes, C. F., Johnson, P. D. R., McCann, R., McMillan, A. J., Mitchell, B. G., Selvey, C. E., Smith, R. E., & Wilkinson, I. J. (2011). Outcomes from the first two years of the Australian National Hand Hygiene Initiative. Medical Journal of Australia, 195(10), 615-619.

Langley, G. J., Moen, R. D., Nolan, K. M., Nolan, T. W., Norman, C. L., & Provost, L. P. (2009). The improvement guide: A practical approach to enhancing organizational performance (2nd ed.). Jossey-Bass.

Mitchell, B. G., Shaban, R. Z., MacBeth, D., Wood, C.-J., & Russo, P. L. (2017). The burden of healthcare-associated infection in Australian hospitals: A systematic review of the literature. Infection, Disease and Health, 22(3), 117-128.

National Health and Medical Research Council. (2019). Australian guidelines for the prevention and control of infection in healthcare. NHMRC.

Nursing and Midwifery Board of Australia. (2018). Code of conduct for nurses. NMBA.

Perla, R. J., Provost, L. P., & Murray, S. K. (2011). The run chart: A simple analytical tool for learning from variation in healthcare processes. BMJ Quality and Safety, 20(1), 46-51.

Reed, J. E., & Card, A. J. (2016). The problem with plan-do-study-act cycles. BMJ Quality and Safety, 25(3), 147-152.

Scally, G., & Donaldson, L. J. (1998). Clinical governance and the drive for quality improvement in the new NHS in England. BMJ, 317(7150), 61-65.

World Health Organization. (2009). WHO guidelines on hand hygiene in health care. WHO.