Evidence map›Paper›PMID 20047686›Full record

SynthesisBMC health services research2010

The effectiveness of computerized clinical guidelines in the process of care: a systematic review.

Gianfranco Damiani, Luigi Pinnarelli, Simona C Colosimo, Roberta Almiento, Lorella Sicuro, Rocco Galasso, Lorenzo Sommella, Walter Ricciardi

Abstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 8 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.

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

43 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  4. A Systematic Review of Clinical Decision Support Systems for Clinical Oncology Practice.Journal of the National Comprehensive Cancer Network : JNCCN · 2019
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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

8 authors.

Gianfranco DamianiDepartment of Public Health-Università Cattolica Sacro Cuore-Rome, Rome, Italy. gdamiani@rm.unicatt.it
Luigi Pinnarelli
Simona C Colosimo
Roberta Almiento
Lorella Sicuro
Rocco Galasso
Lorenzo Sommella
Walter Ricciardi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical practice guidelines have been developed aiming to improve the quality of care. The implementation of the computerized clinical guidelines (CCG) has been supported by the development of computerized clinical decision support systems.This systematic review assesses the impact of CCG on the process of care compared with non-computerized clinical guidelines.

methodsSpecific features of CCG were studied through an extensive search of scientific literature, querying electronic databases: Pubmed/Medline, Embase and Cochrane Controlled Trials Register. A multivariable logistic regression was carried out to evaluate the association of CCG's features with positive effect on the process of care.

resultsForty-five articles were selected. The logistic model showed that Automatic provision of recommendation in electronic version as part of clinician workflow (Odds Ratio [OR]= 17.5; 95% confidence interval [CI]: 1.6-193.7) and Publication Year (OR = 6.7; 95%CI: 1.3-34.3) were statistically significant predictors.

conclusionsFrom the research that has been carried out, we can conclude that after implementation of CCG significant improvements in process of care are shown. Our findings also suggest clinicians, managers and other health care decision makers which features of CCG might improve the structure of computerized system.

Indexed as

Practice Guidelines as TopicProcess Assessment, Health CareDecision Support Systems, ClinicalHumansSocial Behavior

Identifiers

PMID20047686
PMCPMC2837004

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.