Evidence map›Paper›PMID 23532767›Full record

ArticleSouthern med review2012

Barriers and Facilitators to Adoption of a Web-based Antibiotic Decision Support System.

Syed Tabish Razi Zaidi, Jennifer L Marriott

Abstract read
In one paragraph

Article in Southern med review, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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.

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

9 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

2 authors.

Syed Tabish Razi ZaidiClinical Pharmacist, Pharmaceutical Care, King Abdulaziz Medical City, Al Ahsa, Saudi Arabia.
Jennifer L Marriott

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo measure clinicians' perceptions of barriers and facilitators to the adoption of a Computerised Decision Support System (CDSS) for antibiotic approval, and to examine the correlation between these perceptions and actual usage of the system by clinicians.

methodsThis study was conducted in a tertiary care university hospital of Melbourne, Australia. A survey tool comprising of demographic items and newly developed scales to measure clinicians' perceptions of barriers and facilitators to use of an CDSS was developed. Cross-sectional mail surveys were sent to 250 Junior and Senior Medical Staff and Pharmacists in a tertiary care hospital. Cronbach's alpha was used to measure the reliability of the perceptions scales. One way ANOVA was used to assess the differences between participants' responses; Tamhane's test was used for post-hoc analysis. Pearson correlations were used to measure the relationship between the participants' scores on the scales and their actual use of the CDSS under study.

resultsThe overall survey response rate was 54%. Cronbach's alpha for the perceived barrier and facilitator scales were 0.80 and 0.88, respectively. Senior medical staff perceived significantly more barriers than junior medical staff and pharmacists. Statistically significant differences were observed between the scores of the participants on a number of items on the perceived barriers and facilitators scales. Negative correlations were observed between the participants' scores on the perceived barriers scale and their use of the system. (r= -0.415, p= 0.001).

conclusionsThe scales to measure perceived barriers and facilitators to adopt antibiotic CDSS have shown acceptable reliability and validity measures. Important differences exist between senior and junior medical staff about the barriers and facilitators to adopting the CDSS which may influence future use by clinicians.

Indexed as

AdoptionAntimicrobialsCliniciansComputerised Decision Support SystemsPerceptionsReliabilityScalesValidity

Identifiers

PMID23532767
PMCPMC3606938

What OpenQuestion holds

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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.