Can simulation be used to reduce errors in health care delivery? The hospital drug distribution system

Dean, Bonnie S.; Barber, Nick; Ackere, Ann van; Gallivan, S

doi:10.1258/1355819011927170

Cited by 7 publications

(6 citation statements)

References 13 publications

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“…One study specifically examined this issue and only one type of error was evaluated. Dean and Barber (3) and Dean et al (4) measured medication administration errors made by nurses and found that there were no significant differences when POMs were used, compared with the traditional system of using only hospital pharmacy‐dispensed prescriptions.…”

Section: Resultsmentioning

confidence: 99%

“…Of these 29, 15 were primary studies, nine were reviews, four were policy articles and one was an anecdotal report. Four more primary studies were identified after searching the references, two were collapsed into one (3, 4), leaving 18 primary studies. One primary study was a quasi‐experimental design where randomization was not genuine and allocation was not concealed, the other primary studies were observational.…”

Section: Resultsmentioning

confidence: 99%

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Systematic review of the use of patients' own medications in acute care institutions

2006

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Only a limited number of studies were found that addressed the benefits, risks and costs of using POMs in hospitals. These studies had small sample sizes with limitations in the quality of the study design. Nevertheless, the literature contained examples of benefits to the patient and hospital, as well as assistance with practical issues. Further research is needed to evaluate the benefits and risks of using POMs. Hospital policies should describe identification, storage and documentation procedures to address liability and risk concerns. Implementation of policies to use POMs should include an evaluation component, which could include a comprehensive economic analysis of drug costs and staff workload.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Systematic review of the use of patients' own medications in acute care institutions

2006

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“…The staff members' familiarity with the type of prescription, the number of hours or days each pharmacy staff member consecutively worked, and the rate at which prescriptions were dispensed were additional workload factors not considered in this study. ronmental conditions (e.g., noise, 26 lighting levels 27 ), and automated pharmacy dispensing systems in terms of safe workloads. Figure 4 provides an example of such a comparison.…”

Section: Resultsmentioning

confidence: 99%

Geometric probability distribution for modeling of error risk during prescription dispensing

Carnahan

Maghsoodloo

Flynn

2006

American Journal of Health-System Pharmacy

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“…Simulation applications span a wide range of disciplines, such as health care reform ( 3 ), health care delivery ( 4 , 5 ), cancer research ( 6 , 7 ), chronic disease ( 8 , 9 ), mental health ( 10 , 11 ), and infectious diseases ( 12 – 17 ), among others. These models are often complex, follow different methods and formalizations, and are integrated into major decisions with potential for significant impact.…”

Section: Introductionmentioning

confidence: 99%

Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century

Jalali

DiGennaro

Guitar

et al. 2021

Epidemiologic Reviews

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Simulation models are increasingly used to inform epidemiological studies and health policy, yet there is great variation in their transparency and reproducibility. This review provides an overview of applications of simulation models in health policy and epidemiology, analyzes the use of best reporting practices, and assesses the reproducibility of the models using predefined, categorical criteria. 1,613 studies were identified and analyzed. We found an exponential growth in the number of studies over the past half century, with the highest growth in dynamic modeling approaches. The largest subset of studies is focused on disease policy models (70%), within which pathological conditions, viral diseases, neoplasms, and cardiovascular diseases account for one-third of the articles. Nearly half of the studies do not report the details of their models. We also provide in depth analysis of modeling best practices, reporting quality and reproducibility for a subset of 100 articles (50 highly cited and 50 random). Only seven of 26 in-depth evaluation criteria were satisfied by more than 80% of samples. We identify areas for increased application of simulation modeling and opportunities to enhance the rigor and documentation in the conduct and reporting of simulation modeling in epidemiology and health policy.

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Can simulation be used to reduce errors in health care delivery? The hospital drug distribution system

Abstract: Simulation modelling is a potentially useful approach to the study of U-MAEs, although care must be taken to ensure that such models reflect actual practice rather than stated policy.

Cited by 7 publications

References 13 publications

Systematic review of the use of patients' own medications in acute care institutions

Systematic review of the use of patients' own medications in acute care institutions

Geometric probability distribution for modeling of error risk during prescription dispensing

Evolution and Reproducibility of Simulation Modeling in Epidemiology and Health Policy Over Half a Century

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