Model of Current Practice Regarding Prescriptions of Controlled Substances and the Perceived Benefits of E-Prescribing in an Academic Medical Center.

Eli Kupperman, Daniel Vigil, Arash Yazdani, Kevin Baldwin

Abstract read

In one paragraph

Article in Journal of medical systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Eli KuppermanOrthopaedic Surgery, University of California at Los Angeles, 1250 16th Street, #2100A, Santa Monica, CA, 90404, USA. eskupperman@mednet.ucla.edu.ORCID http://orcid.org/0000-0003-3055-877X

Daniel VigilFamily Medicine and Orthopaedic Surgery, University of California at Los Angeles, Los Angeles, CA, USA.

Arash YazdaniInformation Services and Solutions, University of California at Los Angeles, Los Angeles, CA, USA.

Kevin BaldwinInformation Services and Solutions, University of California at Los Angeles, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To review current practices regarding prescribing controlled substances at an academic medical center and describe possible advantages of electronic prescribing of controlled substances (EPCS). A 10-question multiple choice survey was sent electronically to all house staff at an academic medical center. Aggregated data was analyzed for trends. 193 surveys (18.8 %) were completed. Of all respondents, 46.6 % were not able to write their own prescriptions. 70.0 % have used another provider's prescription pad to write prescriptions. 53.4 % have had prescriptions rejected or not filled by a pharmacy for being written incorrectly. 59.6 % kept a patient as an inpatient for a longer period of time due to the inability to obtain a prescription, costing an estimated $3.28 million per year. 58.0 % needed to have a patient return to the hospital to pick up prescriptions for an estimated 1583 return trips to the hospital yearly. 35.1 % had a patient return to the emergency department due to uncontrolled pain, estimated at $139,000 in yearly emergency department patient charges. The authors' survey highlights some of the financial, legal, efficiency, and satisfaction disadvantages due to the inability to use EPCS. Implementing EPCS and making it ubiquitous may limit some inefficiencies in academic hospital systems.

Indexed as

Legislation, DrugAcademic Medical CentersAttitude of Health PersonnelControlled SubstancesDrug PrescriptionsElectronic PrescribingHumansPharmacy Service, HospitalUnited StatesControlled SubstancesControlled substancesElectronic health recordE-prescriptionsHouse staffPrescriptions

Identifiers

PMID27787781

DOI10.1007/s10916-016-0646-7

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.