Evidence map›Paper›PMID 39042353›Full record

ArticleInternational journal of clinical pharmacy2024

Validation of an algorithm to prioritize patients for comprehensive medication management in primary care settings.

Martin A Bishop, Hsien-Yen Chang, Christopher Kitchen, Chintan J Pandya, Dannielle Brown, Jonathan P Weiner, Kenneth M Shermock, Kimberly A Gudzune

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in International journal of clinical pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

8 authors.

Martin A BishopDepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, MD, USA.
Hsien-Yen ChangJohnson and Johnson Innovative Medicine, Titusville, NJ, USA.
Christopher KitchenCenter for Population Health Information Technology, Johns Hopkins University, Baltimore, MD, USA.
Chintan J PandyaCenter for Population Health Information Technology, Johns Hopkins University, Baltimore, MD, USA.
Dannielle BrownDepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, MD, USA.
Jonathan P WeinerCenter for Population Health Information Technology, Johns Hopkins University, Baltimore, MD, USA.
Kenneth M ShermockDepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, MD, USA. ken@jhmi.edu.ORCID http://orcid.org/0009-0008-0908-6169
Kimberly A GudzuneDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComprehensive medication management (CMM) programs optimize the effectiveness and safety of patients' medication regimens, but CMM may be underutilized. Whether healthcare claims data can identify patients appropriate for CMM is not well-studied.

aimDetermine the face validity of a claims-based algorithm to prioritize patients who likely need CMM.

methodWe used claims data to construct patient-level markers of "regimen complexity" and "high-risk for adverse effects," which were combined to define four categories of claims-based CMM-need (very likely, likely, unlikely, very unlikely) among 180 patient records. Three clinicians independently reviewed each record to assess CMM need. We assessed concordance between the claims-based and clinician-review CMM need by calculating percent agreement as well as kappa statistic.

resultsMost records identified as 'very likely' (90%) by claims-based markers were identified by clinician-reviewers as needing CMM. Few records within the 'very unlikely' group (5%) were identified by clinician-reviewers as needing CMM. Interrater agreement between CMM-based algorithm and clinician review was moderate in strength (kappa = 0.6, p < 0.001).

conclusionClaims-based pharmacy measures may offer a valid approach to prioritize patients into CMM-need groups. Further testing of this algorithm is needed prior to implementation in clinic settings.

Indexed as

AlgorithmsMedication Therapy ManagementPrimary Health CareAdultAgedAged, 80 and overFemaleHumansInsurance Claim ReviewMaleMiddle AgedHealthcare administrative claimsPharmaceutical servicesPharmacistsPrimary health care

Identifiers

PMID39042353

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Registered trials

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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.