Cited by 137Urinary Tract Infections ManagementPediatric Urology and Nephrology StudiesAntibiotic Use and Resistance

Dipsticks and diagnostic algorithms in urinary tract infection: development and validation, randomised trial, economic analysis, observational cohort and qualitative study

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Little, P, Turner, S, Rumsby, K, Warner, G, Moore, M, Lowes, J, Smith, H, Hawke, C +4 more·2009·Health Technology Assessment

Abstract

OBJECTIVES: To estimate clinical and dipstick predictors of infection and develop and test clinical scores; to compare management using clinical and dipstick scores with commonly used alternative strategies; to estimate the cost-effectiveness of each strategy; and to understand the natural history of urinary tract infection (UTI) and women's concerns about its presentation and management. DESIGN: There were six studies: (1) validation development for diagnostic clinical and dipstick scores; (2) validation of the scores developed; (3) observation of the natural history of UTI; (4) randomised controlled trial (RCT) of scores developed in study 1; (5) economic analysis of the RCT; (6) qualitative study of patients in the RCT. SETTING: Primary care. PARTICIPANTS: Women aged 17-70 with suspected UTI. INTERVENTIONS: Patients were randomised to five management approaches: empirical antibiotics; empirical delayed antibiotics; target antibiotics based on a higher symptom score; target antibiotics based on dipstick results; or target antibiotics based on a positive mid-stream specimen of urine (MSU). MAIN OUTCOME MEASURES: Antibiotic use, use of MSUs, rates of reconsultation and duration, and severity of symptoms. RESULTS: (1) 62.5% of women had confirmed UTI. Only nitrite, leucocyte esterase and blood independently predicted diagnosis of UTI. A dipstick rule--based on having nitrite or both leucocytes and blood--was moderately sensitive (77%) and specific (70%) [positive predictive value (PPV) 81%, negative predictive value (NPV) 65%]. A clinical rule--based on having two of urine cloudiness, offensive smell, reported moderately severe dysuria, moderately severe nocturia--was less sensitive (65%) (specificity 69%, PPV 77%, NPV 54%). (2) 66% of women had confirmed UTI. The predictive values of nitrite, leucocyte esterase and blood were confirmed. The dipstick rule was moderately sensitive (75%) but less specific (66%) (PPV 81%, NPV 57%). (3) Symptoms rated as moderately bad or worse lasted 3.25 days on average for infections sensitive to antibiotics; resistant infections lasted 56% longer, infections not treated with antibiotics 62% longer and symptoms associated with urethral syndrome 33% longer. Symptom duration was shorter if the doctor was perceived to be positive about prognosis, and longer with frequent somatic symptoms, previous history of cystitis, urinary frequency and more severe symptoms at baseline. (4) 66% of the MSU group had laboratory-confirmed UTI. Women suffered 3.5 days of moderately bad symptoms if they took antibiotics immediately but 4.8 days if they delayed taking antibiotics for 48 hours. Taking bicarbonate or cranberry juice had no effect. (5) The MSU group was more costly over 1 month but not over 1 year. Cost-effectiveness acceptability curves showed that for a value per day of moderately bad symptoms of over 10 pounds, the dipstick strategy is most likely to be cost-effective. (6) Fear of spread to the kidneys, blood in the urine, and the impact of symptoms on vocational and leisure activities were important triggers for seeking help. When patients are asked to delay taking antibiotics the uncomfortable and worrying journey from 'person to patient' needs to be acknowledged and the rationale behind delaying the antibiotics made clear. CONCLUSIONS: To achieve good symptom control and reduce antibiotic use clinicians should either offer a 48-hour delayed antibiotic prescription to be used at the patient's discretion or target antibiotic treatment by dipsticks (positive nitrite or positive leucocytes and blood) with the offer of a delayed prescription if dipstick results are negative.

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Crossref · 10.3310/hta13190

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  • This study revealed that urine cultures can be ruled out in 96% of cases with normal dipstick test results.

    “Nonetheless, this study revealed that urine cultures can be ruled out in 96% of cases with normal dipstick test results, supporting the use of this test as a valuable, economic and rapid alternative for urinary tract infection screening.29”

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Authors
Little, P., Turner, S., Rumsby, K., Warner, G., Moore, M., Lowes, J., Smith, H., Hawke, C., Turner, D., Leydon, G., Arscott, A., & Mullee, M.
Affiliations
  • University of Southampton (GB)
  • The University of Sydney (AU)
Corresponding author
Little, P
Venue
Health Technology Assessment
Published
2009-03
Volume
13
Issue
19
Pages
iii-iv, ix
ISSN
  • 1366-5278 (ISSN-L)
  • 2046-4924
OpenAlex
W2091185840
Cited by
137
References
12
Citations by year
2026: 7 · 2025: 4 · 2024: 6 · 2023: 4 · 2022: 8 · 2021: 13 · 2020: 21 · 2019: 8 · 2018: 2 · 2017: 11 · 2016: 4 · 2015: 14 · 2014: 5 · 2013: 8 · 2012: 3
FWCI
0.85
Type
journal article
Language
en
Open access
Locations
  • Health Technology Assessment (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • ePrints Soton (University of Southampton) (submittedVersion)
  • UEA Digital Repository (University of East Anglia) (submittedVersion)
Funders
Health Technology Assessment programme (97/14/06)
Topics
  • Health Sciences › Medicine › Epidemiology › Urinary Tract Infections Management
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Pediatric Urology and Nephrology Studies
  • Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
Keywords
urinary tract infection, urine dipstick, nitrite, leucocyte esterase, empirical antibiotic prescribing, delayed antibiotic prescribing, antibiotic resistance, urethral syndrome, cost-effectiveness, natural history of infection, primary care management, symptom duration, patient perceptions of treatment, diagnostic accuracy
MeSH terms
Algorithms, Anti-Bacterial Agents, Attitude to Health, Cost-Benefit Analysis, Decision Trees, Female, Humans, Practice Patterns, Physicians', Predictive Value of Tests, Primary Health Care, Reagent Strips, Research Design, Severity of Illness Index, Time Factors, Urinary Tract Infections, Women, Reproducibility of Results, Cohort Studies, Randomized Controlled Trials as Topic, Patient Selection, Qualitative Research

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