Evidence map›Paper›PMID 28417303›Full record

ArticleInternational journal of clinical pharmacy2017

Paediatric in-patient prescribing errors in Malaysia: a cross-sectional multicentre study.

Teik Beng Khoo, Jing Wen Tan, Hoong Phak Ng, Chong Ming Choo, Intan Nor Chahaya Bt Abdul Shukor, Siao Hean Teh

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in International journal of clinical pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 20% of its field
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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Observational
  6. Observational
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

6 authors at 4 institutions in 1 country.

Teik Beng KhooDepartment of Paediatrics, Institute of Paediatrics, Hospital Kuala Lumpur, Jalan Pahang, 50586, Kuala Lumpur, Malaysia. khootb@gmail.com.
Jing Wen TanPaediatric Pharmacy Unit, Department of Pharmacy, Hospital Kuala Lumpur, Jalan Pahang, 50586, Kuala Lumpur, Malaysia.
Hoong Phak NgDepartment of Paediatrics, Sarawak General Hospital, Jalan Hospital, 93586, Kuching, Sarawak, Malaysia.
Chong Ming ChooDepartment of Paediatrics, Hospital Sultan Abdul Halim, Jalan Lencongan Timur, Bandar Amanjaya, 08000, Sungai Petani, Kedah, Malaysia.
Intan Nor Chahaya Bt Abdul ShukorDepartment of Paediatrics, Hospital Segamat, Jalan Genuang, Bandar Putra, 85000, Segamat, Johor, Malaysia.
Siao Hean TehHospital Miri, Jalan Cahaya, 98000, Miri, Sarawak, Malaysia.
Hospital Kuala Lumpur · MYCurtin University Sarawak · MYSarawak General Hospital · MYSultan Abdul Halim Hospital · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background There is a lack of large comprehensive studies in developing countries on paediatric in-patient prescribing errors in different settings. Objectives To determine the characteristics of in-patient prescribing errors among paediatric patients. Setting General paediatric wards, neonatal intensive care units and paediatric intensive care units in government hospitals in Malaysia. Methods This is a cross-sectional multicentre study involving 17 participating hospitals. Drug charts were reviewed in each ward to identify the prescribing errors. All prescribing errors identified were further assessed for their potential clinical consequences, likely causes and contributing factors. Main outcome measures Incidence, types, potential clinical consequences, causes and contributing factors of the prescribing errors. Results The overall prescribing error rate was 9.2% out of 17,889 prescribed medications. There was no significant difference in the prescribing error rates between different types of hospitals or wards. The use of electronic prescribing had a higher prescribing error rate than manual prescribing (16.9 vs 8.2%, p < 0.05). Twenty eight (1.7%) prescribing errors were deemed to have serious potential clinical consequences and 2 (0.1%) were judged to be potentially fatal. Most of the errors were attributed to human factors, i.e. performance or knowledge deficit. The most common contributing factors were due to lack of supervision or of knowledge. Conclusions Although electronic prescribing may potentially improve safety, it may conversely cause prescribing errors due to suboptimal interfaces and cumbersome work processes. Junior doctors need specific training in paediatric prescribing and close supervision to reduce prescribing errors in paediatric in-patients.

Indexed as

Clinical CompetenceChildCross-Sectional StudiesElectronic PrescribingHealth Knowledge, Attitudes, PracticeHumansIncidenceInfant, NewbornMalaysiaMedication ErrorsPractice Patterns, Physicians'Electronic prescribingIn-patientsMalaysiaPaediatricsPrescribing errors

Identifiers

PMID28417303
OpenAlexW2607110573

What OpenQuestion holds

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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.