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ARTICLE

Reducing inappropriate urine testing at Hutt Valley District Health Board using Choosing Wisely principles Aidan D Wilson, Matthew J Kelly, Emma Henderson, Lynn McBain, Sisira Jayathissa, Belinda Loring

ABSTRACT AIM: Unnecessary treatment of asymptomatic bacteriuria is a concern. Hutt Valley District Health Board sought to reduce clinically inappropriate urine culture requests through removal of urine dipsticks from wards and education of sta using Choosing Wisely principles. The purpose of this research is to quantitatively evaluate the success of these initiatives. METHODS: The numbers and results of urine cultures performed for Hutt Valley DHB were analysed, for the period from January 2015 to October 2017. Urinalyses were compared between those designated as ‘inpatient’ and those as ‘outpatient’, with the latter being the control of this study. The numbers of primary and secondary coded discharge diagnoses of UTIs were used as a measure of the negative impact of the interventions. RESULTS: There was a 28% reduction in monthly urine culture requests for inpatients, a er sta education and removal of urine dipsticks, with no change in those for outpatients (the negative control). A er the intervention, a higher proportion of urine cultures were positive for urinary pathogens (25.2% compared to 23.0%) and the average number of diagnoses of UTI in hospital discharges decreased 17% (from 161 to 134). CONCLUSION: The removal of urine dipsticks from wards and the education of sta significantly reduced the number of urine culture requests and is a useful strategy to reduce the overuse of antibiotics for asymptomatic bacteriuria without an increase in the number of UTIs. These simple interventions could be used at other hospitals as part of measures to reduce unnecessary care and overdiagnosis.

hoosing Wisely is an international specimen.4 Signs and symptoms of a uri- campaign which aims to reduce unnec- nary tract infection (UTI) include increased essary and low-value patient care by frequency of urination, dysuria, suprapubic C 5 encouraging medical colleges and special- pain, fever and haematuria. The distinction ity societies to identify clinical practices between ASB and UTI is important because which should be questioned or avoided. A UTIs can lead to serious complications and common recommendation, according to the are a common condition for which antibiot- Australasian Society for Infectious Diseases,1 ics are recommended.5 Antibiotic treatment the Australian & New Zealand Society for of ASB is contraindicated, not only because it Geriatric Medicine2 and the Royal College of has no benefi t to patients, but also because it Pathologists of Australasia3 is that patients is associated with harms, including Clostridi- should not be given antibiotics for asymp- um diffi cile infections, an increase in urinary tomatic bacteriuria (ASB) unless pregnant infections,6 adverse drug reactions and an or undergoing a urological procedure.4–6 increase in antibiotic resistance.8–9 ASB describes a patient with no signs or The Choosing Wisely campaign is espe- symptoms of a urinary tract infection but cially concerned about unnecessary testing from whom a quantitative count of bacteria and treatment of ASB due to its high preva- 5 7 (>10 cfu/mL) has been isolated from a urine lence in hospitals. A study of over 4.4 million

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patients admitted to hospitals in the US found that 47% were subject to urinalysis Methods and 27% had their urine cultured.10 ASB Quantitative data collection is common, with the prevalence higher Requests for urinalysis from HVDHB with for females, the elderly and those with corresponding urine culture results were indwelling catheters.4 The over-testing of obtained for the period January 2015 to patients has led to more than half of urine October 2017 from the Wellington Southern cultures not being clinically indicated10 and Community Laboratory (WSCL) database. a third of ASB cases being inappropriately Urinalysis results from neonatal, paediatric treated with antibiotics against guidelines.7 (less than 15 years of age) and A New Zealand study of over-65-year-olds services were excluded from the dataset. in a secondary level care hospital found The setting from which urinalysis requests that only 22% of all bacteriuria cases were were made was designated as either ‘inpa- true UTIs and 43% of antibiotic courses tient’ or ‘outpatient’. 11 prescribed were inappropriate. The interventions to reduce unnecessary At Hutt Valley District Health Board urine testing and treatment only involved (HVDHB) the Antimicrobial Stewardship inpatient wards (orthopaedic, general (AMS) Team aimed to reduce the number surgery and gynaecology (GSG), plastics and of inappropriate urinalyses for inpatients. medical wards) and Medical Assessment The campaign began in March 2016 with the and Planning Unit (MAPU)). No specifi c cessation of routine urine testing prior to interventions were done in the emergency orthopaedic implant surgery. Other inter- department (ED). Intervention was done ventions included removal of urine dipsticks in MAPU; however, this was the last area from inpatient wards and education of targeted and occurred near the end of the staff about guidelines for diagnosis and study period. Outpatients were the negative treatment of UTIs. A timeline of these inter- control of this study as the outpatient clinics ventions is shown in Figure 1. were considered unexposed as they received The aim of this study was to evaluate no formal education from the AMS Team the progress of HVDHB’s Choosing Wisely and urine dipsticks were not removed. campaign to reduce the number of inappro- Urine culture results were designated priate urinalyses. as either ‘recognised uropathogen’ or ‘not

Figure 1: A timeline of interventions at HVDHB to reduce inappropriate urinalyses.

*This was repeated September 2017. **Trimethoprim was removed as first-line treatment for urinary tract infections due to high resistant rates.

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signifi cant’ based on fi ndings from Blakiston medical offi cers (RMOs) can work in and Zaman8 and input from infectious multiple wards or clinics. diseases at Hutt and Wellington Monthly and quarterly urine culture Hospital. In addition to those identifi ed in request data were analysed by taking the 8 Blakiston and Zaman, Aerococcus urinae, total count of urine culture requests in the other Proteus species, Raoultella planticola, period before the fi rst removal of urine Staphylococcus lugdunesis, Streptococcus dipsticks and education of staff (January agalactiae, Streptococcus dysgalactiae, 2015 ‘2015-Q1’ to September 2016 ‘2016- Streptococcus pyogenes and True- Q3’) and using a two-tailed Student t-test to perella bernardiae were also classifi ed as compare to the total count of urine culture ‘recognised uropathogens’. All other culture requests in the period after the intervention results were classifi ed as ‘not signifi cant’. (October 2016 ‘2016-Q3’ to October 2017 Additionally, the numbers of primary and ‘2017-Q3’). A Taylor series was applied for secondary coded discharge diagnoses of the calculation of 95% confi dence intervals UTIs were used to assess the negative impact for each monthly rate, and the confi dence or harm these interventions may have had interval for the rate ratio between the on patient . ICD codes used unexposed and exposed groups was calcu- included N39.0—urinary tract infection, site lated using the Byar method. Statistical not specifi ed, N30.0—acute cystitis, N30.9— signifi cance is defi ned as no overlap in the cystitis, unspecifi ed, N30.8—other cystitis. confi dence interval and a rate ratio confi - Statistical analysis dence interval that does not include the null value, 1. In these statistical analyses the ‘inter- vention’ is considered to begin in September This study was approved under a Category 2016 with the fi rst removal of urine dipsticks B Application by the University of Otago and education of staff and was applied Ethics committee (ref D17/431). All statistical across all departments due to potential analyses were performed using OpenEpi for cross-talk and the fact that registered (www..com).

Figure 2: Monthly inpatient and outpatient urine culture requests from HVDHB from January 2015 to October 2017.

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Table 1: Rates of urine culture requests per month for inpatients and outpatients, before and after the interventions at HVDHB.

Inpatients Jan 2015 to Sept 2016 Oct 2016 to Oct 2017 (before intervention) (a er intervention)

Total number of urine culture requests 9,064 4,057

Rate of urine culture requests per month 432 (423–441) 312 (303–322) (95% CI in brackets)

Rate ratio (unexposed cf. exposed group) 0.72 (0.70–0.75)

Outpatients Jan 2015 to Sept 2016 Oct 2016 to Oct 2017 (before intervention) (a er intervention)

Total number of urine culture requests 1,820 1,082

Rate of urine culture requests per month 87 (83–91) 97 (78–88) (95% CI in brackets)

Rate ratio (unexposed cf. exposed group) 0.96 (0.89–1.03)

culture requests for inpatients dropped Results 28% from 432 before interventions began to Wellington Southern Community 312 after September 2016. For outpatients Laboratory data (negative control) there was no statistically From January 2015 to October 2017, 18,992 signifi cant change over the same period. urine culture requests were received by The laboratory listed price for a urine test WSCL from HVDHB. After excluding results is currently $29 per test. When comparing from patients aged under 15 years and pre- and post-intervention inpatient urine results from mental health services, there test requests, this equates to an annual were 16,658 urine culture requests. savings of $41,760. These savings do not Analysis of the monthly urine culture include the additional savings made by requests from HVDHB can be seen in Figure reducing nursing workload or the costs of 2 and Table 1. Average monthly urine urine dipsticks or antibiotics.

Figure 3: Quarterly (Q) urine culture requests from HVDHB for emergency department and medical ward, from 2015-Q1 to 2017-Q3.

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Figure 4: Quarterly urine culture requests from HVDHB separated by inpatient wards, general surgery and gynaecology (GSG), medical assessment and planning unit (MAPU), orthopaedics and plastics, from 2015-Q1 to 2017-Q3.

A comparison between the main areas September 2016 when interventions began. at Hutt Valley Hospital—ED, medical ward, These decreases in urine culture requests GSG, MAPU, orthopaedics ward and plastics ranged from 15% to 45%. MAPU showed a ward—can be seen in Figures 3 and 4. All late trend for decreasing requests (Figure 4). departments analysed at HVDHB except Data values can be found in Appendix 1. for MAPU showed statistically signifi cant The proportion of urine cultures which decreases in the average number of quar- grew recognised uropathogens increased terly urine culture requests before and after following the intervention (Figure 5). Data

Figure 5: Proportion of positive urine culture results from HVDHB each quarter from 2015-Q1 to 2017-Q3.

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Table 2: Mean proportion of positive urine culture results before interventions began at HVDHB and after.

2015-Q1 to 2016-Q3 2016-Q4 to 2017-Q3 (before intervention) (a er intervention) Mean proportion of positive urine 23.0% (21.9–24.1%) 25.2% (24.4–26.0%) culture results (95% CI in brackets)

Mean di erence 2.2 (0.8–3.6)

P-value (two-sample independent T-test) 0.006

shown in Table 2 shows a statistically signif- tests and subsequent overtreatment. While icant increase with a mean difference of not all inpatients wards have had urine +2.2% before and after the intervention. dipsticks removed, they were all analysed Primary and secondary coded together for two reasons: The AMS Team are only targeting inpatients with their ongoing discharge diagnoses of urinary interventions; and due to staff cross-talk tract infections and house offi cers working across multiple Figure 6 and Table 3 show that the wards, all inpatient wards were likely to average number of primary and secondary be affected by interventions. No signifi cant diagnoses of UTI fell from 161 to 134 before change in the volume of monthly urine and after interventions began, representing culture requests was seen for outpatients, a decrease of 17%. which suggests that the reduction in urine testing in inpatients was due to the interven- Discussion tions implemented in the wards. However, The 28% reduction in monthly urine which specifi c aspect of the intervention culture requests for inpatients between had the biggest effect is unknown. January 2015 and October 2017 demon- The orthopaedics, plastics and medical strates signifi cant progress towards wards (where urine dipsticks were reducing the number of unnecessary urine removed, and nurses were educated further

Figure 6: Quarterly primary and secondary diagnoses of urinary tract infections at HVDHB between 2015-Q1 and 2017-Q3.

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Table 3: Rates of primary and secondary urinary tract infection diagnoses per quarter before and after interventions begun at HVDHB.

2015-Q1 to 2016-Q3 2016-Q4 to 2017-Q3 (before intervention) (a er intervention) Total number of primary and 1,125 534 secondary UTI diagnoses

Rate of UTI diagnoses per 161 (152–170) 134 (122–145) quarter (95% CI in brackets)

Rate ratio (unexposed cf. exposed group) 0.83 (0.75–0.92)

around urine testing) showed the greatest propriate diagnoses of UTI. Given that the decrease in urine culture requests compared proportion of urine cultures with signifi cant to areas where dipsticks were not removed. uropathogens increased over the two-year The emergency department—not specifi cally period, this suggests that there were fewer targeted by the intervention—also showed urine tests being performed on patients who reductions, and this could be explained had no urinary symptoms. It is possible that by: a fl ow of information between staff of due to the improved education at HVDHB different departments; the fact that house there is better understanding of ASB, which offi cers from all departments were educated has led to fewer misdiagnoses of UTIs. as part of the intervention; the effect of The overall 28% reduction in urine tests is educational posters around the hospital; consistent with the expected proportion of and/or further factors not identifi ed by inappropriate urine tests as demonstrated this study. It is unclear why emergency in other New Zealand and international department appeared to have been trending research.7,10–11 The AMS team were not made down prior to the intervention. Because aware of any cases of harm resulting from we did not investigate this specifi cally, any urine testing not being performed. explanation would be speculative, such as Policy implications the possibility that practice was already There is a worldwide tendency to over-test changing due to the fact that avoiding and over-treat UTIs, especially asymptomatic treatment of asymptomatic bacteriuria bacteriuria in the elderly despite evidence- was a Choosing Wisely message of several based guidelines. Our study illustrates the speciality groups. Rates of urine dipstick effectiveness of a simple bundle of inter- testing in MAPU did not change, but this ventions on the number of urine culture area was only targeted at the end of the requests. By removing urine dipsticks from study period. hospital wards, along with education to While a reduction in unnecessary staff around the reasons behind this inter- urine testing is desired, it is important vention, signifi cant reductions in urine that patients with a legitimate indication culture requests can be achieved. This is an for testing were still tested. The statisti- effective, inexpensive and straightforward cally signifi cant increase of 2.2% in the intervention that could easily be imple- proportion of urine culture with recognised mented in other hospitals as a Choosing uropathogens suggests that it is more Wisely initiative. As urine dipsticks are one likely that urine tests have been requested trigger for unnecessary urine culture testing for patients presenting with signs and and subsequent unnecessary antibiotic symptoms of UTIs. treatment, the removal of these dipsticks Two possible conclusions could be drawn contributes to the goal of reducing overdi- from the decrease in the number of primary agnosis and unnecessary treatment. This is and secondary coded diagnoses of UTIs. likely to reduce harm to patients, as some of Either the decrease in urine culture requests those who are misdiagnosed with UTI and has caused patients to not have their UTI treated unnecessarily with antibiotics will diagnosed, or there is a decrease in inap- go on to experience complications from this

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treatment. In addition, there is a broader the interventions, for example in terms of population benefi t in terms of combatting patients with a genuine UTI missing out or antimicrobial resistance through reducing having delayed treatment. We did not inves- inappropriate use of antibiotics, as well as tigate whether there were any differences more effi cient use of New Zealand’s public in results for patients based on age, sex or health resources by reducing wasteful ethnicity. testing and treatment. Future research is needed to better gauge Strengths and limitations staff opinions towards Choosing Wisely, The major strength of this study was and whether they believe these recommen- the ability to retrieve data for every urine dations to reduce unnecessary care are culture requested by HVDHB from January improving patient management. This will 2015 to October 2017. This allowed for require larger sample sizes and looking at accurate reporting of trends over time. focus groups or one-on-one interviews. The main drawback was the inability to link urine culture data to patient details Conclusion due to extensive labour that would have The results of this research indicate that been required. This meant that it was only HVDHB signifi cantly reduced the number of possible to categorise the culture results as urine tests, and likely the number of unnec- ‘recognised uropathogen’ and ‘not signif- essary urine tests, through the removal of icant’, where ‘recognised uropathogen’ urine dipsticks from hospital wards and the will have included causes of both UTIs education of staff through a Choosing Wisely and ASB. We were unable to assess for initiative. any unintended negative implications of

Appendix Appendix 1: Rates of urine culture requests per month for the emergency department (ED), medical ward general surgery and gynaecology (GSG), medical assessment and planning unit (MAPU), ortho- paedics and plastics ward, with comparisons made between the periods before and after interventions started at HVDHB.

ED 2015-Q1 to 2016-Q3 2016-Q4 to 2017-Q3 (before intervention) (a er intervention)

Total number of urine culture requests 4,387 1,804

Rate of urine culture requests per quarter 627 (608–646) 451 (430–472) (95% CI in brackets)

Rate ratio (unexposed cf. exposed group) 0.72 (0.68–0.76)

Medical ward 2015-Q1 to 2016-Q3 2016-Q4 to 2017-Q3 (before intervention) (a er intervention)

Total number of urine culture requests 2,606 1,048

Rate of urine culture requests per quarter 372 (358–387) 262 (246–278) (95% CI in brackets)

Rate ratio (unexposed cf. exposed group) 0.70 (0.66–0.76)

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Appendix 1: Rates of urine culture requests per month for the emergency department (ED), medical ward general surgery and gynaecology (GSG), medical assessment and planning unit (MAPU), ortho- paedics and plastics ward, with comparisons made between the periods before and after interventions started at HVDHB (continued).

GSG 2015-Q1 to 2016-Q3 2016-Q4 to 2017-Q3 (before intervention) (a er intervention)

Total number of urine culture requests 694 339

Rate of urine culture requests per quarter 99 (92–107) 85 (76–94) (95% CI in brackets)

Rate ratio (unexposed cf. exposed group) 0.85 (0.75–0.97)

MAPU 2015-Q1 to 2016-Q3 2016-Q4 to 2017-Q3 (before intervention) (a er intervention)

Total number of urine culture requests 719 389

Rate of urine culture requests per quarter 103 (95–111) 97 (88–107) (95% CI in brackets)

Rate ratio (unexposed cf. exposed group) 0.95 (0.84–1.07)

Orthopaedics 2015-Q1 to 2016-Q3 2016-Q4 to 2017-Q3 (before intervention) (a er intervention)

Total number of urine culture requests 375 118

Rate of urine culture requests per quarter 54 (48–59) 30 (24–35) (95% CI in brackets)

Rate ratio (unexposed cf. exposed group) 0.55 (0.45–0.68)

Plastics 2015-Q1 to 2016-Q3 2016-Q4 to 2017-Q3 (before intervention) (a er intervention)

Total number of urine culture requests 283 89

Rate of urine culture requests per quarter 40 (36–45) 22 (18–27) (95% CI in brackets)

Rate ratio (unexposed cf. exposed group) 0.55 (0.43–0.70)

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Competing interests: Dr Matthew Kelly, whose interventions were being evaluated, assisted in data analysis. Dr McBain and Mr Wilson report grants from Council of Medical Colleges during the conduct of the study. Acknowledgements: This research was supported by an educational grant from the Choosing Wisely campaign which is facilitated by the Council of Medical Colleges, New Zealand. Additional thanks to the communications team at Hutt Valley DHB and Chris Kerr, the Director of Nursing, for enabling the advertising of surveys. Thank you to Dr Gregory Evans for his contributions to this study and for his facilitation of Choosing Wisely at Hutt Valley DHB as project manager. Finally, thank you to Professor Timothy Blackmore at Capital and Coast DHB for his input into survey design, culture categorisation, and for supplying laboratory data. Author information: Aidan D Wilson, University of Otago, Wellington; Matthew J Kelly, Infectious Disease , Hutt Valley District Health Board, Lower Hutt; Emma Henderson, Infectious Disease Pharmacist, Hutt Valley District Health Board, Lower Hutt; Lynn McBain, Head of Department, Department of Primary Health Care and General Practice, University of Otago, Wellington; Sisira Jayathissa, Chief Medical Offi cer, Hutt Valley District Health Board, Lower Hutt; Belinda Loring, Consultant Physician, Choosing Wisely, Auckland. Corresponding author: Mr Aidan Wilson, University of Otago, Dunedin. [email protected] URL: http://www.nzma.org.nz/journal/read-the-journal/all-issues/2010-2019/2019/vol-132-no-1488- 18-january-2019/7781

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