Evidence map›Paper›PMID 35023836›Full record

ArticleJMIR formative research2022

Evaluation of a Web-Based Medication Reconciliation Application Within a Primary Care Setting: Cluster-Randomized Controlled Trial.

Michael R Gionfriddo, Yirui Hu, Bhumika Maddineni, Melissa Kern, Vanessa Hayduk, William R Kaledas, Nevan Elder, Jeffrey Border, Katie Frusciante, Maria Kobylinski and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. AI-Based Automation for Medication Reconciliation: Scoping Review.Journal of medical Internet research · 2026
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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

11 authors at 3 institutions in 1 country.

Michael R GionfriddoDivision of Pharmaceutical, Administrative and Social Sciences, School of Pharmacy, Duquesne University, Pittsburgh, PA, United States.ORCID https://orcid.org/0000-0003-1391-7072
Yirui HuDepartment of Population Health Sciences, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0002-0477-0155
Bhumika MaddineniCenter for Pharmacy Innovation and Outcomes, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0002-2751-0217
Melissa KernCenter for Pharmacy Innovation and Outcomes, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0001-5717-1124
Vanessa HaydukCenter for Pharmacy Innovation and Outcomes, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0002-1056-6038
William R KaledasThe Steele Institute for Health Innovation, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0002-0113-9915
Nevan ElderThe Steele Institute for Health Innovation, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0002-9680-4323
Jeffrey BorderThe Steele Institute for Health Innovation, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0002-8125-5106
Katie FruscianteCenter for Pharmacy Innovation and Outcomes, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0002-1185-2570
Maria KobylinskiGeisinger Medical Center, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0002-6245-1873
Eric A WrightCenter for Pharmacy Innovation and Outcomes, Geisinger Health, Danville, PA, United States.ORCID https://orcid.org/0000-0003-1721-4104
Geisinger Health System · USDuquesne University · USGeisinger Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite routine review of medication lists during patient encounters, patients' medication lists are often incomplete and not reflective of actual medication use. Contributing to this situation is the challenge of reconciling medication information from existing health records, along with external locations (eg, pharmacies, other provider/hospital records, and care facilities) and patient-reported use. Advances in the interoperability and digital collection of information provides a foundation for integration of these once disparate information sources.

objectiveWe aim to evaluate the effectiveness of and satisfaction with an electronic health record (EHR)-integrated web-based medication reconciliation application, MedTrue (MT).

methodsWe conducted a cluster-randomized controlled trial of MT in 6 primary care clinics within an integrated health care delivery system. Our primary outcome was medication list accuracy, as determined by a pharmacist-collected best-possible medication history (BPMH). Patient and staff perspectives were evaluated through surveys and semistructured interviews.

resultsOverall, 224 patients were recruited and underwent a BPMH with the pharmacist (n=118 [52.7%] usual care [UC], n=106 [47.3%] MT). For our primary outcome of medication list accuracy, 8 (7.5%) patients in the MT arm and 9 (7.6%) in the UC arm had 0 discrepancies (odds ratio=1.01, 95% CI 0.38-2.72, P=.98). The most common discrepancy identified was patients reporting no longer taking a medication (UC mean 2.48 vs MT mean 2.58, P=.21). Patients found MT easy to use and on average would highly recommend MT (average net promoter score=8/10). Staff found MT beneficial but difficult to implement.

conclusionsThe use of a web-based application integrated into the EHR which combines EHR, patient-reported data, and pharmacy-dispensed data did not improve medication list accuracy among a population of primary care patients compared to UC but was well received by patients. Future studies should address the limitations of the current application and assess whether improved implementation strategies would impact the effectiveness of the application.

Indexed as

appdrugeffectivenessEHRelectronic health recordinformation sourceinformation technologyinteroperabilitymedicationmedication safetymixed methodprimary carerandomized controlled trialreconciliationsafetysatisfaction

Identifiers

PMID35023836
PMCPMC8941436
OpenAlexW4206022618

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.