Home Laboratory utilization improvement through a computer-aided algorithm developed with general practitioners
Article
Licensed
Unlicensed Requires Authentication

Laboratory utilization improvement through a computer-aided algorithm developed with general practitioners

  • Maria Salinas EMAIL logo , Maite López-Garrigós , Alberto Asencio , Maria Leiva-Salinas , Javier Lugo and Carlos Leiva-Salinas
Published/Copyright: December 2, 2014

Abstract

Background: One of the main duties of healthcare workers is to get an appropriate use of diagnostic and therapeutic tools. The aim of this study was to show how strategies can be designed and established in consensus with general practitioners (GPs) to reach an optimal laboratory test request.

Methods: The laboratory serves a population of approximately 235,000 inhabitants, including nine primary care centers. GPs could request every test in profiles and individually. In meetings between the laboratory and GPs our request patterns were compared to other geographic regions, and we investigated the appropriateness of test requesting. The group devised strategies that consisted of removing tests from profiles [aspartate aminotransferase (AST), γ-glutamyltranspeptidase (GGT) and phosphate], removing tests from GPs requests (iron and transferrin), substituting tests (IgA antigliadin antibody), and measuring total bilirubin (tBil) only when the icteric index value was above 34.2 mmol/L (2 mg/dL). We analyzed every test request in the post- (years 2012–2013) and pre-intervention period (years 2010–2011), and the tBil measured in the post-intervention period. We studied if AST/alanine aminotransferase (ALT) and GGT/ALT achieved indicators targets and calculated the economic savings in the post-intervention period.

Results: There was a significant drop in every test request in the post-intervention period. AST/ALT achieved the indicator target. GGT/ALT, never achieved the indicator goal. The strategies resulted in a savings of more than €34,000.

Conclusions: The strategies designed between the laboratory and the requesting clinicians and automatically established by using our laboratory information system were successful.


Corresponding author: Dra. Maria Salinas, Clinical Laboratory, Hospital Universitario de San Juan, Carretera Alicante-Valencia, s/n, 03550 San Juan de Alicante, Alicante, Spain, Phone: +34 965938877, Fax: +34 965938383, E-mail: ; and Department of Biochemistry and Molecular Pathology, Universidad Miguel Hernandez, Elche, Spain

Acknowledgments

The authors would like to express their deep gratitude to Professor David E. Bruns for his valuable and constructive suggestions during the review of this paper.

Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

Financial support: None declared.

Employment or leadership: None declared.

Honorarium: None declared.

Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Fryer AA, Smellie WS. Managing demand for laboratory tests: a laboratory toolkit. J Clin Pathol 2013;66:62–72.10.1136/jclinpath-2011-200524Search in Google Scholar

2. Salinas M, Lopez-Garrigós M, Flors L, Leiva-Salinas C. Laboratory false-positive results: a clinician responsibility or a shared responsibility with requesting clinicians? Clin Chem Lab Med 2013;51:e199–200.10.1515/cclm-2013-0043Search in Google Scholar

3. Moloney TW, Rogers DE. Medical technology: a different view of the contentious debate over costs. N Engl J Med 1979;301:1413–9.10.1056/NEJM197912273012603Search in Google Scholar

4. Baker R, Falconer Smith J, Lambert PC. Randomised controlled trial of the effectiveness of feedback in improving test ordering in general practice. Scand J Prim Health Care 2003;21:219–23.10.1080/02813430310002995Search in Google Scholar

5. Thomas RE, Croal BL, Ramsay C, Eccles M, Grimshaw J. Effect of enhanced feedback and brief educational reminder messages on laboratory test requesting in primary care: a cluster randomised trial. Lancet 2006;367:1990–6.10.1016/S0140-6736(06)68888-0Search in Google Scholar

6. Verstappen WH, van der Weijden T, Sijbrandij J, Smeele I, Hermsen J, Grimshaw J, et al. Effect of a practice-based strategy on test ordering performance of primary care physicians: a randomized trial. J Am Med Assoc 2003;289:2407–12.10.1001/jama.289.18.2407Search in Google Scholar PubMed

7. van Walraven C, Naylor CD. Do we know what inappropriate laboratory utilization is? A systematic review of laboratory clinical audits. J Am Med Assoc 1998;280:550–8.10.1001/jama.280.6.550Search in Google Scholar PubMed

8. Busby J, Schroeder K, Woltersdorf W, Sterne JA, Ben-Shlomo Y, Hay A, et al. Temporal growth and geographic variation in the use of laboratory tests by NHS general practices: using routine data to identify research priorities. Br J Gen Pract 2013;63:e256–66.10.3399/bjgp13X665224Search in Google Scholar PubMed PubMed Central

9. Mindemark M, Wernroth L, Larsson A. Costly regional variations in primary health care test utilization in Sweden. Scand J Clin Lab Invest 2010;70:164–70.10.3109/00365511003642519Search in Google Scholar PubMed

10. Salinas M, López-Garrigós M, Díaz J, Ortuño M, Yago M, Laíz B, et al. Regional variations in test requiring patterns of general practitioners in Spain. Ups J Med Sci 2011;116:247–51.10.3109/03009734.2011.606927Search in Google Scholar PubMed PubMed Central

11. Salinas M, Lopez-Garrigos M, Tormo C, Uris J. Primary care use of laboratory tests in Spain: measurement through appropriateness indicators. Clin Lab 2014;60:483–90.10.7754/Clin.Lab.2013.130101Search in Google Scholar PubMed

12. Larsson A. What can we learn from studies on regional differences in the utilization of laboratory tests? Ups J Med Sci 2011;116:225–6.10.3109/03009734.2011.624281Search in Google Scholar PubMed PubMed Central

13. Salinas M, López-Garrigós M, Pomares F, Lugo J, Asencio A, López-Penabad L, et al. Serum calcium (S-Ca), the forgotten test: preliminary results of an appropriateness strategy to detect primary hyperparathyroidism (pHPT). Bone 2013;56:73–6.10.1016/j.bone.2013.05.011Search in Google Scholar PubMed

14. Salinas M, López-Garrigós M, Asencio A, Batlle E, Minguez M, Lugo J, et al. Strategy to improve the request of uric acid in primary care: preliminary results and evaluation through process and outcome appropriateness indicators. Clin Biochem 2014;47:467–70.10.1016/j.clinbiochem.2013.12.025Search in Google Scholar PubMed

15. Larsson A, Palmer M, Hultén G, Tryding N. Large differences in laboratory utilisation between hospitals in Sweden. Clin Chem Lab Med 2000;38:383–9.10.1515/CCLM.2000.056Search in Google Scholar PubMed

16. Husby S, Koletzko S, Korponay-Szabó IR, Mearin ML, Phillips A, Shamir R, et al. European Society for Pediatric Gastroenterology, Hepatology, and Nutrition guidelines for the diagnosis of coeliac disease. J Pediatr Gastroenterol Nutr 2012;54:136–60.10.1097/MPG.0b013e31821a23d0Search in Google Scholar PubMed

17. Salinas M, López-Garrigós M, Lugo J, Gutiérrez M, Flors L, Leiva-Salinas C. Diagnostic accuracy of icteric index to detect abnormal total bilirubin values. J Clin Pathol 2012;65:928–33.10.1136/jclinpath-2012-200811Search in Google Scholar PubMed

18. Lyon AW, Greenway DC, Hindmarsh JT. A strategy to promote rational clinical chemistry test utilization. Am J Clin Pathol 1995;103:718–24.10.1093/ajcp/103.6.718Search in Google Scholar PubMed

19. Astegiano M, Sapone N, Demarchi B, Rossetti S, Bonardi R, Rizzetto M. Laboratory evaluation of the patient with liver disease. Eur Rev Med Pharmacol Sci 2004;8:3–9.Search in Google Scholar

20. Krier M, Ahmed A. The asymptomatic outpatient with abnormal liver function tests. Clin Liver Dis 2009;13:167–77.10.1016/j.cld.2009.02.001Search in Google Scholar PubMed

21. Aranda-Michel J, Sherman KE. Tests of the liver: use and misuse. Gastroenterologist 1998;6:34–43.Search in Google Scholar

22. Smellie WS, Forth J, Ryder S, Galloway MJ, Wood AC, Watson ID. Best practice in primary care pathology: review 5. J Clin Pathol 2006;59:1229–37.10.1136/jcp.2006.037754Search in Google Scholar PubMed PubMed Central

23. Baddams EL, Degg T, Barth JH. Cascade testing of primary care blood samples with hyperferritinaemia identifies subjects with iron overload and porphyria cutanea tarda. Ann Clin Biochem 2013;51:499–502.10.1177/0004563213504906Search in Google Scholar PubMed

24. Szőke D, Panteghini M. Diagnostic value of transferrin. Clin Chim Acta 2012;16:1184–9.10.1016/j.cca.2012.04.021Search in Google Scholar PubMed

25. Smellie WS. Appropiateness of test use in pathology: a new era or reinventing the wheel? Ann Clin Biochem 2003;40:585–92.10.1258/000456303770367180Search in Google Scholar PubMed

26. Salinas M, López-Garrigós M, Leiva-Salinas C. False positive results: the imaginary invalid syndrome. Aten Primaria 2013;45:542.10.1016/j.aprim.2013.04.010Search in Google Scholar PubMed PubMed Central

27. Pageler NM, Franzon D, Longhurst CA, Wood M, Shin AY, Adams ES, et al. Embedding time-limited laboratory orders within computerized provider order entry reduces laboratory utilization. Pediatr Crit Care Med 2013;14:413–9.10.1097/PCC.0b013e318272010cSearch in Google Scholar PubMed

Received: 2014-7-24
Accepted: 2014-10-22
Published Online: 2014-12-2
Published in Print: 2015-8-1

©2015 by De Gruyter

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. New trends in the long and puzzling history of HbA1c
  4. Review
  5. Thyroglobulin measurement by highly sensitive assays: focus on laboratory challenges
  6. Opinion Paper
  7. Possible role of fructosamine 3-kinase genotyping for the management of diabetic patients
  8. EFLM Original Article
  9. Compliance of blood sampling procedures with the CLSI H3-A6 guidelines: An observational study by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) working group for the preanalytical phase (WG-PRE)
  10. Genetics and Molecular Diagnostics
  11. Quantitative-fluorescent-PCR versus full karyotyping in prenatal diagnosis of common chromosome aneuploidies in southern Spain
  12. HIF1A and MIF as potential predictive mRNA biomarkers of pre-eclampsia: a longitudinal prospective study in high risk population
  13. General Clinical Chemistry and Laboratory Medicine
  14. Evidence of Crohn’s disease-related anti-glycoprotein 2 antibodies in patients with celiac disease
  15. Myocardial interleukin-6 in the setting of left ventricular mechanical assistance: relation with outcome and C-reactive protein
  16. Different methods to estimate serum free cortisol: a comparison during cortisol tetracosactide testing
  17. Automated immunoassays for the autoantibodies to carbamylated or citrullinated telopeptides of type I and II collagens
  18. Relevance of correction for drift and day-to-day variation in cystatin C measurement: a post-hoc analysis of the PREVEND cohort, with independent replication in the ESTHER cohort
  19. Laboratory utilization improvement through a computer-aided algorithm developed with general practitioners
  20. Quantitation of 1α,25-dihydroxyvitamin D by LC-MS/MS using solid-phase extraction and fixed-charge derivitization in comparison to immunoextraction
  21. Reference Values and Biological Variations
  22. Establishment of trimester-specific thyroid stimulating hormone and free thyroxine reference interval in pregnant Chinese women using the Beckman Coulter UniCel™ DxI 600
  23. Cancer Diagnostics
  24. Expression of vascular endothelial factor-A, gelatinases (MMP-2, MMP-9) and TIMP-1 in uterine leiomyomas
  25. Influence of ABO type on global coagulation assay results: effect of coagulation factor VIII
  26. Diabetes
  27. Benchmarking by HbA1c in a national diabetes quality register – does measurement bias matter?
  28. Comparing HbA1c, fasting and 2-h plasma glucose for screening for abnormal glucose regulation in patients undergoing coronary angiography
  29. Erroneous HbA1c measurements in the presence of β-thalassemia and common Chinese hemoglobin variants
  30. Using the likelihood ratio to evaluate allowable total error – an example with glycated hemoglobin (HbA1c)
  31. Two novel haemoglobin variants that affect haemoglobin A1c measurement by ion-exchange chromatography
  32. Analytical performances of the D-100TM hemoglobin testing system (Bio-Rad) for HbA1c assay
  33. Letters to the Editors
  34. Glycation rate of haemoglobins S, C, D, E, J and G, and analytical interference on the measurement of HbA1c with affinity chromatography and capillary electrophoresis
  35. Hemoglobin Valme HBB:c.124T>G: a new hemoglobin variant with diminished oxygen affinity causes interference in hemoglobin A1c measurement in an automated ion-exchange HPLC method
  36. Hemoglobin A1c reported in units and diagnostic cut-offs in relation to the international recommendations
  37. Hemoglobin measurements in samples containing hemoglobin-based oxygen carriers
  38. Serologic false-positive reactions for syphilis in children of allergic purpura
  39. Exploration of the pre-analytical stability of β-lactam antibiotics in plasma and blood – implications for therapeutic drug monitoring and pharmacokinetic studies
  40. Fungal contamination of hyaluronidase solution mimicking fungal joint infection: a preanalytical pitfall in synovial fluid analysis
  41. Stroke and inherited thrombophilia in a Tunisian girl with sickle cell anemia
  42. Faecal haemoglobin concentrations do vary across geography as well as with age and sex: ramifications for colorectal cancer screening
Downloaded on 16.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cclm-2014-0762/html
Scroll to top button