Evidence map›Paper›PMID 34278660›Full record

ArticlePharmacoepidemiology and drug safety2021

The use of narrative electronic prescribing instructions in pharmacoepidemiology: A scoping review for the International Society for Pharmacoepidemiology.

Robert J Romanelli, Naomi R M Schwartz, William G Dixon, Carla Rodriguez-Watson, Brian C Sauer, Dawn Albright, Zachary A Marcum

Abstract readScoping Review
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

7 authors.

Robert J RomanelliCenter for Health Systems Research, Sutter Health, Walnut Creek, California, USA.
Naomi R M SchwartzThe Comparative Health Outcomes Policy and Economics Institute, School of Pharmacy, University of Washington, Seattle, Washington, USA.ORCID 0000-0003-0656-7801
William G DixonCenter for Epidemiology Versus Arthritis, University of Manchester, Manchester, UK.
Carla Rodriguez-WatsonInnovation in Medical Evidence Development and Surveillance (IMEDS), Reagan-Udall Foundation for the Food and Drug Administration, Washington, DC, USA.
Brian C SauerDivision of Epidemiology, University of Utah, Salt Lake City, Utah, USA.
Dawn AlbrightAetion, Inc., Arlington, Massachusetts, USA.
Zachary A MarcumThe Comparative Health Outcomes Policy and Economics Institute, School of Pharmacy, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-4690-2304

Funding

Antihypertensives and the Aging BrainK76AG059929 · NIA · UNIVERSITY OF WASHINGTON · PI MARCUM, ZACHARY ADAM · 2019 to 2021
$694k
NIA NIH HHS K76 AG059929
6 · The paper itself

Abstract

Narrative electronic prescribing instructions (NEPIs) are text that convey information on the administration or co-administration of a drug as directed by a prescriber. For researchers, NEPIs have the potential to advance our understanding of the risks and benefits of medications in populations; however, due to their unstructured nature, they are not often utilized. The goal of this scoping review was to evaluate how NEPIs are currently employed in research, identify opportunities and challenges for their broader application, and provide recommendations on their future use. The scoping review comprised a comprehensive literature review and a survey of key stakeholders. From the literature review, we identified 33 primary articles that described the use of NEPIs. The majority of articles (n = 19) identified issues with the quality of information in NEPIs compared with structured prescribing information; nine articles described the development of novel algorithms that performed well in extracting information from NEPIs, and five described the used of manual or simpler algorithms to extract prescribing information from NEPIs. A survey of 19 stakeholders indicated concerns for the quality of information in NEPIs and called for standardization of NEPIs to reduce data variability/errors. Nevertheless, stakeholders believed NEPIs present an opportunity to identify prescriber's intent for the prescription and to study temporal treatment patterns. In summary, NEPIs hold much promise for advancing the field of pharmacoepidemiology. Researchers should take advantage of addressing important questions that can be uniquely answered with NEPIs, but exercise caution when using this information and carefully consider the quality of the data.

Indexed as

Electronic PrescribingPharmacoepidemiologyHumansdrug prescribingelectronic health recordsfree textnarrative prescribing instructionspharmacoepidemiology

Identifiers

PMID34278660
PMCPMC8419095

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.