Evidence map›Paper›PMID 34345510›Full record

ArticleInnovations in pharmacy2021

Validation of the Copenhagen Burnout Inventory in Pharmacists.

Olajide O Fadare, Michael Andreski, Matthew J Witry

Abstract read
In one paragraph

Article in Innovations in pharmacy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  6. Adaptation of the Copenhagen Burnout Inventory in Latvia: Psychometric Data and Factor Analysis.International journal of environmental research and public health · 2025
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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

3 authors.

Olajide O FadareUniversity of Iowa, Iowa City, Iowa.
Michael AndreskiDrake University, Des Moines, Iowa.
Matthew J WitryUniversity of Iowa, Iowa City, Iowa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to 1) determine the validity of the Copenhagen Burnout Inventory (CBI) for use in the assessment of burnout in a sample of pharmacists using confirmatory factor analysis (CFA), and 2) use the CBI items and other measures of work-life to assess burnout in pharmacists employed in various types of practice.

methodsA cross-sectional survey was administered to a sample of 2,582 pharmacists in a single Midwestern US state. The survey included the three subscales of the CBI, each of which measures personal, work-related, and patient-related dimensions of burnout. Other items included demographics, practice type, workload, and work-life balance. CFA was used to measure fit, and Cronbach's alpha was used to assess reliability. Correlation was used to assess criterion validity of the CBI. Logistic regression and bivariate analyses were used to assess pharmacist burnout based on demographics.

resultsFollowing the removal of 2 items from the measurement model, a 17-item 3-factor CBI was found to possess satisfactory psychometric properties for use in pharmacists. The CBI correlated with measures of work-life demonstrating criterion validity. A logistic regression showed that younger pharmacists and community pharmacists experience higher burnout than older pharmacists and clinical pharmacists. Community pharmacists also more often reported high workloads and poorer work-life integration. Both community and clinic pharmacists desired more time providing patient care services and less time dispensing.

conclusionThe CBI is a psychometrically reliable and valid instrument for assessing burnout in pharmacists. Younger pharmacists and community pharmacists warrant attention due to their higher degree of burnout.

Indexed as

Burnoutmeasurementpharmacysurveywork-lifeworkload

Identifiers

PMID34345510
PMCPMC8326695

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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.