Since 2007, Queensland Health has employed a statistical process control methodology that has been adapted for clinical utility, the variable life-adjusted display (VLAD), to systematically monitor patient outcomes (Box).1-3 VLAD methodology based on available administrative data has been found to provide results equivalent to more resource-intensive clinical audit methodology that uses individual chart review.4 Queensland Health hospitals have undertaken numerous quality initiatives as a result of the use of VLADs, leading to improvements in discharge processes, clinician documentation, patient education, implementation of and adherence to standard clinical pathways, and allocation of resources to areas of most need.
One of the key elements that led to these initiatives is having well defined indicators that are clinically relevant, clinically significant in terms of burden of disease, and clinically responsive to changes in practice. Queensland Health has used the quality improvement cycle (plan, do, check and act cycle)5 to improve or remove indicators, suspending two indicators, developing two new indicators and refining three indicators. A review of the balance of indicators is currently underway. This process of development and refinement has led to a closer working relationship with clinicians, and resulted in improved indicator definitions to more effectively monitor safety and quality.
To overcome issues of timeliness and sensitivity, the VLAD methodology was applied to the 31 existing clinical indicator definitions and disseminated monthly to Queensland public and private hospitals. VLADs graphically display patient outcomes, “flagging” if predetermined levels of variation in patient outcomes are exceeded. Flags require a VLAD review to examine data and clinical practice to detect potential patient safety and quality issues and identify action to resolve issues.6-8 Formal documentation of the VLAD review is required within 30 days of notification and is evaluated within a governance structure that was introduced concurrently with the VLADs.9 Indicator definition issues identified by hospital staff are also captured in the VLAD review documentation. This feedback, and issues captured through an online feedback form,10 is then used to improve or remove clinical indicator definitions.
Clinical improvement opportunities were identified as a result of clinical reviews of laparoscopic cholecystectomy undertaken by hospitals following a VLAD flag. One hospital instituted a strict policy of single use when it identified that a laparoscopic clip applicator that had been reused a number of times failed to secure the cystic duct. Another hospital, as a result of a significant increase in bleeding complications, changed practice to ensure locum surgeons were supervised by a senior surgeon and given less complex cases to manage.
The Australian Council on Healthcare Standards, Women’s Hospitals Australasia (WHA) and the WHA’s Core Maternity Indicators Project11 have used third- and fourth-degree perineal tears as clinical indicators for some years. The usefulness of the perineal tear indicator was challenged by some Queensland Health clinicians, who argued that there was no evidence that intervention could reduce the perineal tear rate.
Following the literature review and analysis of the coding definitions, the perineal tears VLAD indicator was refined and reinstated,12 induction of labour and caesarean section indicators were refined, and episiotomy and instrumental delivery VLAD indicators were developed and introduced, completing the “act” part of the quality improvement cycle. Within 3 months of reintroducing the perineal tear indicator, a VLAD review raised a clinical practice issue identifying the use of midline episiotomies causing third-degree tears.
Above all, the most important message is that quality improvement indicators should not to be used as performance measures.13-15 Indicators (eg, VLADs, annual rates) are tools that help identify variation. Review of the variation is required to determine its cause. Indicator variation (without the benefit of review) cannot be equated with either high or low hospital performance. The notion that hospitals with higher risk-adjusted mortality have poorer-quality care is neither consistent nor reliable.16
- Kirstine M Sketcher-Baker1
- Maarten C Kamp2,3
- Julia A Connors1
- Don J Martin1
- Justin E Collins1
- 1 Centre for Healthcare Improvement, Queensland Health, Brisbane, QLD.
- 2 School of Medicine, University of Queensland, Brisbane, QLD.
- 3 Metro North Health Service, Queensland Health, Brisbane, QLD.
We thank Queensland clinicians and safety and quality staff who participate in conducting VLAD reviews to ultimately improve the delivery of patient care to all Queenslanders.
None identified.
- 1. Sherlaw-Johnson C. A method for detecting runs of good and bad clinical outcomes on variable life-adjusted display (VLAD) charts. Health Care Manag Sci 2005; 8: 61-65.
- 2. Duckett SJ, Coory M, Sketcher-Baker K. Identifying variations in quality of care in Queensland hospitals. Med J Aust 2007; 187: 571-575. <MJA full text>
- 3. Woodall W. The use of control charts in health-care and public-health surveillance. J Qual Technol 2006; 38: 89-104.
- 4. Scott IA, Thomson PL, Narasimhan S. Comparing risk-prediction methods using administrative or clinical data in assessing excess in-hospital mortality in patients with acute myocardial infarction. Med J Aust 2008; 188: 332-336. <MJA full text>
- 5. Shewhart W. Economic control of quality of manufactured product. New York: Van Nostrand, 1931. (Reprinted Milwaukee, Wis: American Society for Quality Control, 1980.)
- 6. Coory M, Duckett S, Sketcher-Baker K. Using control charts to monitor quality of hospital care with administrative data. Int J Qual Health Care 2008; 20: 31-39.
- 7. Mohammed MA, Stevens AJ. Performance monitoring in Australia and England: from scandals to action [editorial]. Med J Aust 2007; 187: 549-550. <MJA full text>
- 8. Mohammed MA, Rathbone A, Myers P, et al. An investigation into general practioners associated with high patient mortality flagged up through the Shipman inquiry: retrospective analysis of routine data. BMJ 2004; 328: 1474-1477.
- 9. Queensland Health. Queensland Health Clinical Governance Implementation Standard. 2008; Jun. http://www.health.qld.gov.au/cpic/pdf/clingovimpstand4_v3.5.pdf (accessed Mar 2010).
- 10. Queensland Health. Existing Indicator Feedback Form. 2009; Apr. http://www.health.qld.gov.au/quality/existing_indicator.asp (accessed Jul 2010).
- 11. Women’s Hospitals Australasia. Supporting Excellence in Maternity Care: the Core Maternity Indicators Project. 2007; Jan. http://www.health.gov.au/internet/safety/publishing.nsf/Content/3A59DB5FECB57A99CA25753C001B50ED/$File/CMI-Report-Jan2007.pdf (accessed Mar 2010).
- 12. Queensland Health. Statewide Maternity and Neonatal Network VLAD Working Group. Summary of activities to-date: November 2008 – July 2009. 2009; Sep. http://www.health.qld.gov.au/quality/docs/vlad_wrgrp_smry_0709.pdf (accessed Mar 2010).
- 13. Lilford R, Mohammed MA, Spiegelhalter D, et al. Use and misuse of process and outcome data in managing performance of acute medical care: avoid institutional stigma. Lancet 2004; 363: 1147-1154.
- 14. Mainz J. Developing evidence-based clinical indicators: a state of the art methods primer. Int J Qual Health Care 2003; 15 Suppl 1: i5-i11.
- 15. Scott IA, Ward M. Public reporting of hospital outcomes based on administrative data: risks and opportunities. Med J Aust 2006; 184: 571-575. <MJA full text>
- 16. Pitches DW, Mohammed MA, Lilford RJ. What is the empirical evidence that hospitals with higher-risk adjusted mortality rates provide poorer quality care? A systematic review of literature. BMC Health Serv Res 2007; 7: 91.
Abstract
The variable life-adjusted display is a graphical, statistical methodology used in Queensland to monitor patient outcomes of clinical indicators.
The quality improvement cycle is a systematic approach employed by patient safety and quality programs worldwide to improve patient care.
The quality improvement cycle is beneficial to the review and refinement of indicator definitions.
Indicators with definitional issues that are not subject to the quality improvement cycle may initially prompt quality improvement opportunities, but are more likely to potentially lead to unnecessary chart and clinical reviews, which will disengage coders and clinicians.
Queensland recently used the quality improvement cycle to refine the laparoscopic cholecystectomy complications of surgery indicator definition and several maternity definitions.