Evidence map›Paper›PMID 21947700›Full record

ArticleClinical rheumatology2011

Cost of medication errors in rheumatic patients in Mexico.

Francisco Javier Aceves-Avila, Verónica Benites-Godínez, César Ramos-Remus

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. A systematic review of approaches for calculating the cost of medication errors.European journal of hospital pharmacy : science and practice · 2016
    Pooled it
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Francisco Javier Aceves-AvilaHospital General Regional No. 46, Instituto Mexicano del Seguro Social, Guadalajara, Jalisco, Mexico. fjaceves@megared.net.mx
Verónica Benites-Godínez
César Ramos-Remus

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to measure the frequency of medication error (ME) in rheumatology outpatients of the Social Security System (SS) in Mexico and to measure the costs by comparing the days lost at work as direct consequence of the medication error against the theoretical cost of no error in the process. A prospective 6-month survey was conducted in a reference hospital in Guadalajara, Mexico. ME was defined as any discrepancy between the prescription and medicine taken by patients. The origin of the discrepancy was identified and registered. We present 381 patients: 292 with rheumatoid arthritis, 57 with ankylosing spondylitis, and 32 with systemic lupus erythematosus. One hundred twenty seven (33%) had medication errors. Ninety eight (77%) got worse in their condition due to ME. Forty percent of MEs were due to patients' decisions, 41% to a lack of availability of medication which should have been provided by SS, and 18% to a non-justified medical decision by primary-care providers. Patients lost in average 3 working days each month because of the ME. The cost of ME is high. In the case analyzed, opportune access to treatment represents a lower cost for the system, but it represents a significant loss of days at work each month. ME is a signal of a system failure. Inter-professional teamwork is needed to perfect the system.

Indexed as

AdultArthritis, RheumatoidCosts and Cost AnalysisFemaleHumansLupus Erythematosus, SystemicMaleMedication ErrorsMexicoMiddle AgedProspective StudiesSpondylitis, Ankylosing

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.