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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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The sampling variability of a statistic is defined as how much the statistic varies from one sample to another. The sampling variability of a statistic is typically measured by measuring its standard error.
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[Descriptive analysis of medication errors notified by Primary Health Care: Learning from errors].

Gerardo Garzón González1, Laura Montero Morales1, Sara de Miguel García1

  • 1Área de Calidad y Seguridad del Paciente de la Gerencia Asistencial de Atención Primaria del Servicio Madrileño de Salud, Madrid, España.

Atencion Primaria
|April 3, 2019
PubMed
Summary

Medication errors (ME) in primary care are common, with nearly half occurring in centers and a quarter being patient-related. Key causes include prescribing issues and communication failures, highlighting the need for system improvements.

Keywords:
Atención primariaErrores de medicaciónMedication errorsPatient safetyPrimary careSeguridad del paciente

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Area of Science:

  • Healthcare Quality and Safety
  • Medication Error Analysis
  • Primary Health Care Research

Background:

  • Medication errors (ME) represent a significant patient safety concern within healthcare systems.
  • Primary Health Care (PHC) settings are crucial points for medication management and error detection.
  • Understanding the epidemiology of ME in PHC is vital for targeted interventions.

Purpose of the Study:

  • To determine the incidence, causes, and harm associated with medication errors notified in Primary Health Care.
  • To analyze the setting and types of medication errors reported.
  • To identify contributing factors for medication errors in the primary care context.

Main Methods:

  • A descriptive, cross-sectional study was conducted.
  • Analysis of 1,839 medication errors notified through a safety incident reporting system.
  • Data collected from January 1st to November 17th, 2016, in the Primary Care Regional Health Service of Madrid.

Main Results:

  • Nearly half (47%) of ME occurred in Primary Care Centres.
  • Patient medication errors accounted for 26.5% of all ME.
  • Potential severe harm errors represented 27.5% of ME, with prescribing errors (27.4%) and communication failures (66% of patient errors) being primary causes.

Conclusions:

  • A significant proportion of medication errors occur within primary care settings.
  • Prescribing errors and communication issues between patients and doctors are major contributors to ME.
  • Recommendations include implementing prescribing aid systems, enhancing communication strategies, and developing patient support tools.