ArticleQuality & safety in health care2005
Patient safety features of clinical computer systems: questionnaire survey of GP views.
Article in Quality & safety in health care, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The evidence for the effectiveness of safety alerts in electronic patient medication record systems at the point of pharmacy order entry: a systematic review.BMC medical informatics and decision making · 2013Pooled it
- Pharmacists' Perceptions on Safety Alerts of the Drug Utilization Review (DUR) in Electronic Health Records in a Tertiary Healthcare Hospital.Pharmacy (Basel, Switzerland) · 2023Article
- Article
- Research into practice: safe prescribing.The British journal of general practice : the journal of the Royal College of General Practitioners · 2014Article
- Using the computer in the clinical consultation; setting the stage, reviewing, recording, and taking actions: multi-channel video study.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- A study of general practitioners' perspectives on electronic medical records systems in NHSScotland.BMC medical informatics and decision making · 2013Article
- Article
- Planned implementations of ePrescribing systems in NHS hospitals in England: a questionnaire study.JRSM short reports · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo investigate general practitioners' (GPs') stated knowledge, use and training needs related to the patient safety features of computerised clinical systems in England.
designQuestionnaire survey. SUBJECTS AND
settingGPs from six English primary care trusts. OUTCOME MEASURES: GPs' views on the importance of specified patient safety features on their computer system; their knowledge of the presence of specified safety features; previous training and perceived future training needs.
resultsThree hundred and eighty one GPs (64.0%) completed and returned the questionnaire. Although patient safety features were considered to be an important part of their computer system by the vast majority of GPs, many were unsure as to whether the system they were currently using possessed some of the specified features. Some respondents erroneously believed that their computers would warn them about potential contraindications or if an abnormal dose frequency had been prescribed. Only a minority had received formal training on the use of their system's patient safety features.
conclusionsPatient safety was an issue high on the agenda of this GP sample. The importance of raising GPs' awareness of both the potential use and deficiencies of the patient safety features on their systems and ensuring that appropriate training is available should not be underestimated.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.