ArticleBMC medical informatics and decision making2010
Identification of features of electronic prescribing systems to support quality and safety in primary care using a modified Delphi process.
Article in BMC medical informatics and decision making, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient safety and safety culture in primary health care: a systematic review.BMC family practice · 2018Pooled it
- Healthcare professionals' perceptions of electronic prescription systems in outpatient services: a qualitative study at UNS hospital.Cost effectiveness and resource allocation : C/E · 2025Article
- E-prescribing and medication safety in community settings: A rapid scoping review.Exploratory research in clinical and social pharmacy · 2023Article
- Developing a Multifaceted Evaluation Tool for Electronic Prescribing System: A Study from a Developing Country.Iranian journal of pharmaceutical research : IJPR · 2022Article
- Electronic prescription system requirements: a scoping review.BMC medical informatics and decision making · 2022Article
- An e-Delphi study to obtain expert consensus on the level of risk associated with preventable e-prescribing events.British journal of clinical pharmacology · 2022Article
- Main Elements of National Model of Electronic Prescription System from Physicians' Point of View: A Case Study in a Developing Country.Iranian journal of pharmaceutical research : IJPR · 2019Article
- The GUIDES checklist: development of a tool to improve the successful use of guideline-based computerised clinical decision support.Implementation science : IS · 2018Article
- Reducing medication errors at transitions of care is everyone's business.Australian prescriber · 2018Review
- Use of the Delphi technique to determine safety features to be included in a neonatal and paediatric prescription chart.International journal of clinical pharmacy · 2014Article
- Differentiating innovation priorities among stakeholder in hospital care.BMC medical informatics and decision making · 2013Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectronic prescribing is increasingly being used in primary care and in hospitals. Studies on the effects of e-prescribing systems have found evidence for both benefit and harm. The aim of this study was to identify features of e-prescribing software systems that support patient safety and quality of care and that are useful to the clinician and the patient, with a focus on improving the quality use of medicines.
methodsSoftware features were identified by a literature review, key informants and an expert group. A modified Delphi process was used with a 12-member multidisciplinary expert group to reach consensus on the expected impact of the features in four domains: patient safety, quality of care, usefulness to the clinician and usefulness to the patient. The setting was electronic prescribing in general practice in Australia.
resultsA list of 114 software features was developed. Most of the features relate to the recording and use of patient data, the medication selection process, prescribing decision support, monitoring drug therapy and clinical reports. The expert group rated 78 of the features (68%) as likely to have a high positive impact in at least one domain, 36 features (32%) as medium impact, and none as low or negative impact. Twenty seven features were rated as high positive impact across 3 or 4 domains including patient safety and quality of care. Ten features were considered "aspirational" because of a lack of agreed standards and/or suitable knowledge bases.
conclusionsThis study defines features of e-prescribing software systems that are expected to support safety and quality, especially in relation to prescribing and use of medicines in general practice. The features could be used to develop software standards, and could be adapted if necessary for use in other settings and countries.
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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.