Utility of an Algorithm to Increase the Accuracy of Medication History in an Obstetrical Setting

Autor: Alice Panchaud, Aline Corbel, Aziz Chaouch, David Baud, Johnny Beney, Chantal Csajka
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Pediatrics
Medical Doctors
Health Care Providers
Maternal Health
Pharmacists
030226 pharmacology & pharmacy
0302 clinical medicine
Obstetrics and gynaecology
Pregnancy
Medicine and Health Sciences
Medicine
030212 general & internal medicine
Medical History Taking
Prospective cohort study
Routes of Administration
education.field_of_study
Multidisciplinary
Pharmaceutics
Applied Mathematics
Simulation and Modeling
Medical record
Drugs
Obstetrics and Gynecology
Obstetrics
Professions
Physical Sciences
Female
Algorithm
Algorithms
Medication list
Research Article
Adult
medicine.medical_specialty
Medication history
Concordance
Science
Population
MEDLINE
Research and Analysis Methods
03 medical and health sciences
Drug Therapy
Physicians
Humans
education
Pharmacology
business.industry
Health Care
People and Places
Women's Health
Population Groupings
business
Mathematics
Zdroj: PLoS ONE, Vol 11, Iss 3, p e0151205 (2016)
Plos One, vol. 11, no. 3, pp. e0151205
PLoS ONE
Europe PubMed Central
ISSN: 1932-6203
Popis: BackgroundIn an obstetrical setting, inaccurate medication histories at hospital admission may result in failure to identify potentially harmful treatments for patients and/or their fetus(es).MethodsThis prospective study was conducted to assess average concordance rates between (1) a medication list obtained with a one-page structured medication history algorithm developed for the obstetrical setting and (2) the medication list reported in medical records and obtained by open-ended questions based on standard procedures. Both lists were converted into concordance rate using a best possible medication history approach as the reference (information obtained by patients, prescribers and community pharmacists' interviews).ResultsThe algorithm-based method obtained a higher average concordance rate than the standard method, with respectively 90.2% [CI95% 85.8-94.3] versus 24.6% [CI95%15.3-34.4] concordance rates (pConclusionOur algorithm-based method strongly enhanced the accuracy of the medication history in our obstetric population, without using substantial resources. Its implementation is an effective first step to the medication reconciliation process, which has been recognized as a very important component of patients' drug safety.
Databáze: OpenAIRE
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