Fiabilidad de los registros electrónicos de prescripción de medicamentos de Atención Primaria

Sáez, C García-Molina; Sanz, E Urbieta; Torres, Marta Pérez de Heredia; Salmerón, Pascual Piñera; Cárceles, María Dolores Pérez

doi:10.1016/j.aprim.2015.05.003

Cited by 3 publications

(8 citation statements)

References 18 publications

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“…In a veterans hospital in the USA, Kaboli et al found discrepancies between the CMPs analysed and the medication actually taken by the patients in 94.7% of cases 3. Consistent with these results, in a study conducted in a general hospital in Spain, García et al detected discrepancies in 97.1% of the CMPs analysed 4. Also in line with these studies, a multicentre study by Price et al in Canada showed discrepancies in 84% of cases,5 a study by Uitvlugt et al 7 in the Netherlands showed discrepancies in 83% of cases and two studies by Bülow et al 8 9 involving Danish polypharmacy patients showed discrepancies in 75% and 88% of cases, respectively.…”

Section: Introductionsupporting

confidence: 56%

“…In the study published by García-Molina et al 4 in which 308 patients admitted to a cardiology-pneumology unit of a hospital in Murcia (Spain) were enrolled, the authors found that, in 97.1% of cases, CMPs had some kind of discrepancy. The difference in the rate of discrepancies compared with our study may result from the fact that restricted prescription drugs (HO, HD) could not be prescribed through the electronic prescribing platform used in their study, in contrast with RELE which admits this type of drugs, and this may have generated more discrepancies with the medication actually taken by patients.…”

Section: Discussionmentioning

confidence: 99%

“…Given that the population affiliated to the SNS in the health area served by Hospital Universitario Son Llàtzer was 255 536, a sample size of 215 patients was estimated in order to have a 3% accuracy in the calculation with a 99% CI, assuming an expected rate of patients with discrepancies of 97.1% based on the results of the most recent study conducted in Spain 4…”

Section: Methodsmentioning

confidence: 99%

“…Indeed, data from studies conducted in other settings show that there are discrepancies between the medication recorded in patients’ CMPs and the medication actually taken by the patients. A discrepancy is defined as any difference found between the active ingredient and/or dosage of a medicine recorded in the CMP and the information provided by the patient 3–9…”

Section: Introductionmentioning

confidence: 99%

“…Studies quantifying discrepancies between various repository systems and the medication actually taken by patients, as reported during clinical interviews, have yielded heterogeneous results 3–9. In a veterans hospital in the USA, Kaboli et al found discrepancies between the CMPs analysed and the medication actually taken by the patients in 94.7% of cases 3.…”

Section: Introductionmentioning

confidence: 99%

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Accuracy of an electronic prescribing system for standard treatments

2021

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BackgroundThe prescription system known as RELE is the electronic prescribing and dispensing system that has been used by the Balearic Islands Health Service (IB-SALUT, Spain) since April 2006. This repository contains patients’ computerised medication profiles (CMPs). Data from studies conducted in other settings have shown the existence of discrepancies between the medications recorded in patients’ CMPs and the medications actually taken by the patients.MethodsChronic medications recorded in RELE CMPs were compared with those obtained through a structured clinical interview with patients or the persons responsible for the administration of the patients’ medications. A descriptive analysis of each discrepancy was performed. Potentially associated factors were analysed using Pearson’s χ2 test.ResultsOf the 215 CMPs studied, 168 (78%) had discrepancies. The rate of discrepancies in the general population inferred from these results ranged from 72.57% to 83.71%, with a 95% confidence level. Polypharmacy was associated with the presence of discrepancies (χ2: 39.998, 1 df, p<0.0001) as well as patient age >65 years (χ2: 18.949, 2df, p<0.0001) and higher comorbidity (χ2: 12.548, 2 df, p=0.002). The association between the types of discrepancies and their causes showed that prescriber-generated dosage errors were the most common errors (n=116; 27%), followed by patient-generated commissions (n=79; 18%), patient-generated dosage errors (n=77; 18%) and prescriber-generated commissions (n=73; 17%).ConclusionThe rate of discrepancies identified in this study shows that clinical interviews with patients during transitions of care continue to be essential.

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Section: Introductionsupporting

confidence: 56%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Accuracy of an electronic prescribing system for standard treatments

2021

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Concordancia de los registros de prescripción de medicamentos en el paciente quirúrgico hospitalizado

Guillén Martínez,

Lucas Mayol,

Rodríguez Morote

et al. 2024

Journal of Healthcare Quality Research

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Primary care electronic medication record discrepancies in patients starting treatment at a hospital-based ambulatory care pharmacy and impact on prevalence of potential drug–drug interactions

et al. 2022

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ObjectiveOur objective was to evaluate the prevalence of discrepancies between primary care electronic medication records (EMR) and patient reported medication (PRM) in ambulatory patients starting a hospital dispensing treatment (HDT) at a hospital-based ambulatory care pharmacy (HACPh). Our secondary aims were to analyse factors associated with the presence of discrepancies and their impact on the prevalence of potential drug–drug interactions (DDIs) with the HDT.MethodsRetrospective study including 230 patients starting a HDT at the HACPh. Pharmacists interviewed patients and PRM was compared with EMR. Discrepancies were classified as omissions (medication in the PRM not present in the EMR) and commissions (medication active in the EMR that the patients were not taking). Potential DDIs with the HDT were screened, and univariate and multivariate analyses were performed to detect factors associated with the presence of discrepancies.ResultsWe identified 221 discrepancies in 116 (50.4%) patients. Being visited by three or more medical specialties (OR 1.93, 95% CI 1.11 to 3.37) and attending private healthcare (OR 4.36, 95% CI 1.14 to 16.72) in the 12 months before the study inclusion were the factors independently associated with the presence of discrepancies. Among patients with commissions (n=91), 15.4% had a potential DDI between the HDT and one medication from the EMR that they were not taking at that moment. Among patients with omissions (n=45), 11.1% had a potential DDI between the HDT and a medication in the PRM not present in the EMR.ConclusionsAbout 40% of patients had one or more medications in the EMR which they were not taking and one fifth used medications that were not listed in the EMR. EMR should not be used as the only source of information when screening for DDIs, especially in patients followed by different medical specialties or combining private and public healthcare.

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Fiabilidad de los registros electrónicos de prescripción de medicamentos de Atención Primaria

Abstract: Primary Care computerised medication records, although of undoubted interest, are not be reliable enough to be used as the sole source of information on patient chronic medications when admitted to hospital.

Cited by 3 publications

References 18 publications

Accuracy of an electronic prescribing system for standard treatments

Accuracy of an electronic prescribing system for standard treatments

Concordancia de los registros de prescripción de medicamentos en el paciente quirúrgico hospitalizado

Primary care electronic medication record discrepancies in patients starting treatment at a hospital-based ambulatory care pharmacy and impact on prevalence of potential drug–drug interactions

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