Evidence map›Paper›PMID 25163794›Full record

ArticleImplementation science : IS2014

Barriers and facilitators to the uptake of computerized clinical decision support systems in specialty hospitals: protocol for a qualitative cross-sectional study.

Lorenzo Moja, Elisa Giulia Liberati, Laura Galuppo, Mara Gorli, Marco Maraldi, Oriana Nanni, Giulio Rigon, Pietro Ruggieri, Francesca Ruggiero, Giuseppe Scaratti and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Implementation science : IS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02577198 (Implementing an Evidence-based Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital), which is not on this map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 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.

NCT02577198 nacompletednot on this mapstarted 2015, after this paper: background citation

Implementing an Evidence-based Computerized Decision Support System Linked to Electronic Health Records to Improve Patient Care in a General Hospital

TypeinterventionalSponsorI.R.C.C.S Ospedale Galeazzi-Sant'AmbrogioRan2015 to 2017Enrolled6,479ConditionsPhysician's RoleArmsMedilogy Decision Support System (MediDSS)
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. The Reasons for Physicians and Pharmacists' Acceptance of Clinical Support Systems in Saudi Arabia.International journal of environmental research and public health · 2023
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  12. Barriers to using clinical decision support in ambulatory care: Do clinics in health systems fare better?Journal of the American Medical Informatics Association : JAMIA · 2021
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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

12 authors.

Lorenzo MojaDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Pascal 36, Milan, 20133, Italy. lorenzo.moja@unimi.it.
Elisa Giulia Liberati
Laura Galuppo
Mara Gorli
Marco Maraldi
Oriana Nanni
Giulio Rigon
Pietro Ruggieri
Francesca Ruggiero
Giuseppe Scaratti
Alberto Vaona
Koren Hyogene Kwag

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputerized clinical decision support systems (CDSSs) have been shown to improve the efficiency and quality of patient care by connecting healthcare professionals with high quality, evidence-based information at the point-of-care. The mere provision of CDSSs, however, does not guarantee their uptake. Rather, individual and institutional perceptions can foster or inhibit the integration of CDSSs into routine clinical workflow. Current studies exploring health professionals' perceptions of CDSSs focus primarily on technical and usability issues, overlooking the social or cultural variables as well as broader administrative or organizational roles that may influence CDSS adoption. Moreover, there is a lack of data on the evolution of perceived barriers or facilitators to CDSS uptake across different stages of implementation.

methodsWe will conduct a qualitative, cross-sectional study in three Italian specialty hospitals involving frontline physicians, nurses, information technology staff, and members of the hospital board of directors. We will use semi-structured interviews following the Grounded Theory framework, progressively recruiting participants until no new information is gained from the interviews. DISCUSSION: CDSSs are likely to become an integral and diffuse part of clinical practice. Various factors must be considered when planning their introduction in healthcare settings. The findings of this study will guide the development of strategies to facilitate the successful integration of CDSSs into the regular clinical workflow. The evaluation of diverse health professionals across multiple hospital settings in different stages of CDSS uptake will better capture the complexity of roles and contextual factors affecting CDSS uptake.

Indexed as

Decision Support Systems, ClinicalCross-Sectional StudiesHospital Information SystemsHospitals, SpecialHumansInterviews as TopicItalyResearch DesignTechnology Transfer

Identifiers

PMID25163794
PMCPMC4159504

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.