Evidence map›Paper›PMID 35456163›Full record

ArticleJournal of clinical medicine2022

Assessing the Impact of an Advanced Clinical Decision Support System on Medication Safety and Hospital Readmissions in an Innovative Transitional Care Model: A Pilot Study.

Jennifer M Bingham, Lindsey Baugham, Andriana Hilaneh, Karley Tranchina, Daniel Arku, Becka Eckert, Nicole Scovis, Jacques Turgeon

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Article
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

8 authors at 2 institutions in 2 countries.

Jennifer M BinghamTabula Rasa HealthCare, Office of Translational Research & Residency Programs, 228 Strawbridge Dr, Moorestown, NJ 08057, USA.ORCID 0000-0003-4855-9738
Lindsey BaughamCollege of Pharmacy, University of Arizona, Tucson, AZ 85721, USA.
Andriana HilanehCollege of Pharmacy, University of Arizona, Tucson, AZ 85721, USA.
Karley TranchinaCollege of Pharmacy, University of Arizona, Tucson, AZ 85721, USA.
Daniel ArkuCollege of Pharmacy, University of Arizona, Tucson, AZ 85721, USA.ORCID 0000-0002-6185-5198
Becka EckertCollege of Pharmacy, University of Arizona, Tucson, AZ 85721, USA.ORCID 0000-0003-1967-4980
Nicole ScovisTabula Rasa HealthCare, Office of Translational Research & Residency Programs, 228 Strawbridge Dr, Moorestown, NJ 08057, USA.
Jacques TurgeonTabula Rasa HealthCare, Precision Pharmacotherapy Research & Development Institute, 13485 Veterans Way, Orlando, FL 32827, USA.ORCID 0000-0002-7978-9280
University of Arizona · USResearch & Development Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Adverse drug events and inappropriate use of medications lead to hospitalizations, medication-related morbidity, and mortality. This study examined whether a novel medication risk prediction tool, the MedWise Risk Score™, was associated with medication safety-related problem (MRP) identification and whether integration into an existing innovative transitions of care (TOC) service could decrease readmissions. (2) Methods: This retrospective comparator group study assessed patients discharged from a hospital in southern Arizona between January and December 2020. Participants were included in the study if they were 18 years of age or older, referred to the pharmacist for TOC services, and received a pharmacist consultation within one-week post discharge. Patients were categorized into two groups: (1) medication safety review (MSR)-TOC service (intervention) or (2) existing innovative TOC service (control). (3) Results: Of 164 participants, most were male (57%) and were between 70−79 years of age. Overall, there were significantly more drug-drug interactions (DDI) MRPs identified per patient in the intervention vs. control group for those who were readmitted (3.7 ± 1.5 vs. 0.9 ± 0.6, p < 0.001) and those who were not readmitted (2 ± 1.3 vs. 1.3 ± 1.2, p = 0.0120). Furthermore, of those who were readmitted, the average number of identified MRPs per patient was greater in the intervention group compared to the control (6.3 vs. 2.5, respectively, p > 0.05). Relative to the control, the readmission frequency was 30% lower in the treatment group; however, there was insufficient power to detect significant differences between groups. (4) Conclusions: The integration of a medication risk prediction tool into this existing TOC service identified more DDI MRPs compared to the previous innovative TOC service, which lends evidence that supports its ability to prevent readmissions. Future work is warranted to demonstrate the longitudinal impact of this intervention in a larger sample size.

Indexed as

clinical decision support systempharmacisttransition of care

Identifiers

PMID35456163
PMCPMC9025610
OpenAlexW4224225313

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.