Evidence map›Paper›PMID 34911719›Full record

SynthesisBMJ open2021

Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes: a systematic review of experimental and observational studies.

Teumzghi F Mebrahtu, Sarah Skyrme, Rebecca Randell, Anne-Maree Keenan, Karen Bloor, Huiqin Yang, Deirdre Andre, Alison Ledward, Henry King, Carl Thompson

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07398235 (A Qualitative Study to Explore the Barriers to Adoption of Clinical Decision Support Systems), which is not on this map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–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.

NCT07398235 completednot on this mapstarted 2026, after this paper: background citation

A Qualitative Study to Explore the Barriers to Adoption of Clinical Decision Support Systems

Typeobservational_patient_registrySponsorMedway NHS Foundation TrustRan2026 to 2026Enrolled18ConditionsClinical Decision Support System (CDSS)ArmsSemi-structured interview
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Teumzghi F MebrahtuSchool of Computing, University of Leeds, Leeds, UK t.f.mebrahtu@leeds.ac.uk.ORCID 0000-0003-4821-2304
Sarah SkyrmeSchool of Healthcare, University of Leeds, Leeds, UK.
Rebecca RandellFaculty of Health Studies, University of Bradford, Bradford, UK.ORCID 0000-0002-5856-4912
Anne-Maree KeenanSchool of Healthcare, University of Leeds, Leeds, UK.
Karen BloorDepartment of Health Sciences, University of York, York, UK.ORCID 0000-0003-4852-9854
Huiqin YangSchool of Healthcare, University of Leeds, Leeds, UK.
Deirdre AndreLibrary Services, University of Leeds, Leeds, UK.
Alison LedwardSchool of Healthcare, University of Leeds, Leeds, UK.
Henry KingSchool of Healthcare, University of Leeds, Leeds, UK.
Carl ThompsonSchool of Healthcare, University of Leeds, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveComputerised clinical decision support systems (CDSS) are an increasingly important part of nurse and allied health professional (AHP) roles in delivering healthcare. The impact of these technologies on these health professionals' performance and patient outcomes has not been systematically reviewed. We aimed to conduct a systematic review to investigate this. MATERIALS AND

methodsThe following bibliographic databases and grey literature sources were searched by an experienced Information Professional for published and unpublished research from inception to February 2021 without language restrictions: MEDLINE (Ovid), Embase Classic+Embase (Ovid), PsycINFO (Ovid), HMIC (Ovid), AMED (Allied and Complementary Medicine) (Ovid), CINAHL (EBSCO), Cochrane Central Register of Controlled Trials (Wiley), Cochrane Database of Systematic Reviews (Wiley), Social Sciences Citation Index Expanded (Clarivate), ProQuest Dissertations & Theses Abstracts & Index, ProQuest ASSIA (Applied Social Science Index and Abstract), Clinical Trials.gov, WHO International Clinical Trials Registry (ICTRP), Health Services Research Projects in Progress (HSRProj), OpenClinical(www.OpenClinical.org), OpenGrey (www.opengrey.eu), Health.IT.gov, Agency for Healthcare Research and Quality (www.ahrq.gov). Any comparative research studies comparing CDSS with usual care were eligible for inclusion.

resultsA total of 36 106 non-duplicate records were identified. Of 35 included studies: 28 were randomised trials, three controlled-before-and-after studies, three interrupted-time-series and one non-randomised trial. There were ~1318 health professionals and ~67 595 patient participants in the studies. Most studies focused on nurse decision-makers (71%) or paramedics (5.7%). CDSS as a standalone Personal Computer/LAPTOP-technology was a feature of 88.7% of the studies; only 8.6% of the studies involved 'smart' mobile/handheld-technology. DISCUSSION: CDSS impacted 38% of the outcome measures used positively. Care processes were better in 47% of the measures adopted; examples included, nurses' adherence to hand disinfection guidance, insulin dosing, on-time blood sampling and documenting care. Patient care outcomes in 40.7% of indicators were better; examples included, lower numbers of falls and pressure ulcers, better glycaemic control, screening of malnutrition and obesity and triaging appropriateness.

conclusionCDSS may have a positive impact on selected aspects of nurses' and AHPs' performance and care outcomes. However, comparative research is generally low quality, with a wide range of heterogeneous outcomes. After more than 13 years of synthesised research into CDSS in healthcare professions other than medicine, the need for better quality evaluative research remains as pressing.

Indexed as

Decision Support Systems, ClinicalAllied Health PersonnelControlled Clinical Trials as TopicHealth PersonnelHealth Services ResearchHumansNursesUnited Stateshealth informaticsinformation managementinformation technology

Identifiers

PMID34911719
PMCPMC8679061

What OpenQuestion holds

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Registered trials

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.