Evidence map›Paper›PMID 37085324›Full record

ArticleJournal of clinical pathology2024

Does an electronic pathology ordering system change the volume and pattern of routine testing in hospital? An interrupted time series analysis.

Madeleine de Carle, Brooke Macnab, Jenewa Utainrat, Jessica Herkes-Deane, John Attia, Theo de Malmanche, Erdahl Teber, Kerrin Palazzi, Craig Scowen, Alexis Hure

Abstract read
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Article in Journal of clinical pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Madeleine de CarleSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
Brooke MacnabSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
Jenewa UtainratSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
Jessica Herkes-DeaneSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
John AttiaSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
Theo de MalmancheSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.
Erdahl TeberHunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.
Kerrin PalazziHunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.
Craig ScowenJohn Hunter Hospital, NSW Health Pathology, New Lambton Heights, New South Wales, Australia.
Alexis HureSchool of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia Alexis.Hure@newcastle.edu.au.ORCID http://orcid.org/0000-0003-2225-0986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIdentifying and reducing low-value care is a vital issue in Australia, with pathology test ordering a common focus in this field. This study builds on previous research and aimed to quantify the impact of the implementation of an electronic ordering (e-ordering) system on the volume of pathology testing, compared with manual (paper based) ordering.

methodsAn audit and analysis of pathology test data were conducted, using an interrupted time series design to investigate the impact of the e-ordering system on pathology ordering patterns. All medical and surgical adult inpatients at a tertiary referral hospital in Newcastle, Australia, were included over a 3-year period.

resultsOverall, there were no statistically significant differences in the volume of orders due to the implementation of the e-ordering system. There was a slight increase in the aggregated volume (tests per admission and tests per bed day) of tests ordered across the entire study period, reflecting a secular trend.

conclusionsDespite providing greater visibility and tracking of orders, we conclude that the implementation of an e-ordering system does not, in and of itself, reduce ordering volume. Efforts to identify and reduce low-value care will require intentional effort and specifically designed educational programmes or hard-wired algorithms.

Indexed as

Interrupted Time Series AnalysisMedical Order Entry SystemsAustraliaDiagnostic Tests, RoutineHumansPractice Patterns, Physicians'Tertiary Care CentersELECTROLYTESEPIDEMIOLOGYPathology Department, Hospital

Identifiers

PMID37085324
PMCPMC11287530

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.