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    Tytuł:
    Self-reported medication administration errors in clinical practice of nurses: a descriptive correlation study
    Autorzy:
    Červený, Martin
    Hajduchová, Hana
    Brabcová, Iva
    Chloubová, Ivana
    Prokešová, Radka
    Malý, Josef
    Malá-Ládová, Kateřina
    Doseděl, Martin
    Tesař, Ondřej
    Vlček, Jiří
    Tóthová, Valérie
    Powiązania:
    https://bibliotekanauki.pl/articles/2203024.pdf
    Data publikacji:
    2023-05-19
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    nursing
    patient safety
    drug
    safety management
    errors
    medication administration
    Opis:
    Background Medication administration errors (MAE) are a worldwide issue affecting the safety of hospitalized patients. Through the early identification of potential causes, it is possible to increase the safety of medication administration (MA) in clinical nursing. The study aimed to identify potential risk factors affecting drug administration in inpatient wards in the Czech Republic. Material and Methods A descriptive correlation study through a non-standardized questionnaire was used. Data were collected from September 29 to October 15, 2021, from nurses in the Czech Republic. For statistical analysis, the authors used SPSS vers. 28 (IBM Corp., Armonk, NY, USA). Results The research sample consisted of 1205 nurses. The authors found that there was a statistically significant relationship between nurse education (p = 0.05), interruptions, preparation of medicines outside the patient rooms (p < 0.001), inadequate patient identification (p < 0.01), large numbers of patients assigned per nurse (p < 0.001), use of team nursing care and administration of generic substitution and an MAE. Conclusions The results of the study point to the weaknesses of medication administration in selected clinical departments in hospitals. The authors found that several factors, such as high patient ratio per nurse, lack of patient identification, and interruption during medication preparation of nurses, can increase the prevalence of MAE. Nurses who have completed MSc and PhD education have a lower incidence of MAE. More research is needed to identify other causes of medication administration errors. Improving the safety culture is the most critical challenge for today’s healthcare industry. Education for nurses can be an effective way to reduce MAEs by enhancing their knowledge and skills, mainly focusing on increasing adherence to safe medication preparation and administration and a better understanding of medication pharmacodynamics. Med Pr. 2023;74(2):85–92
    Źródło:
    Medycyna Pracy; 2023, 74, 2; 85-92
    0465-5893
    2353-1339
    Pojawia się w:
    Medycyna Pracy
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Healthcare Information Technology’s Relativity Challenges: Distortions Created by Patients’ Physical Reality versus Clinicians’ Mental Models and Healthcare Electronic Records
    Autorzy:
    Koppel, Ross
    Powiązania:
    https://bibliotekanauki.pl/articles/32222588.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
    Tematy:
    Healthcare Information Technology
    Workflow
    Autonomy
    Medication Administration
    Medication Error
    Conflicting Goals
    Opis:
    This paper examines the inconsistencies or distortions among three medical realities: patients’ physical reality (as reflected in clinical observations, lab reports, and other “objective” measures); clinicians’ mental models of patients’ conditions; and how that information is represented in the patient’s electronic chart—the electronic health record (EHR). We created a typology based on the semiotic triangle of “symbol,” “thought or reference,” and “referent.” Differing perspectives (or realities) are illustrated with examples from our observations in hospitals and medical facilities, interviews with clinicians, IT personnel and IT vendors, computer logs, and error reports. Scenarios/models enumerate how the differing perspectives can misalign to produce distortions in comprehension and treatment. These are categorized according to an emergent typology derived from the cases themselves and refined based on insights gained from the literature on interactive sociotechnical systems analysis, decision support science, and human-computer interaction. The scenarios reflect the misalignment between patients’ physical realities, clinicians’ mental models, and EHRs, identifying five types of misrepresentation: IT data too narrowly focused; IT data too broadly focused; EHRs miss critical reality; data multiplicities—perhaps contradictory or confusing; distortions from data reflected back and forth across users, sensors, and others. Conclusion: With humans, there is a physical reality and actors’ mental models of that reality. In healthcare, there is another player: the EHR/healthcare IT, which implicitly and explicitly reflects many mental models, facets of reality, and measures thereof that vary in reliability and consistency. EHRs are both microcosms and shapers of medical care.
    Źródło:
    Qualitative Sociology Review; 2022, 18, 4; 92-108
    1733-8077
    Pojawia się w:
    Qualitative Sociology Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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