Evidence map›Paper›PMID 40529844›Full record

ArticleFederal practitioner : for the health care professionals of the VA, DoD, and PHS2025

Improving High-Risk Osteoporosis Medication Adherence and Safety With an Automated Dashboard.

Danielle H Tran, Radhika Narla, Magdalena Wojtowicz, Patrick Spoutz, Katherine D Wysham

Abstract read
In one paragraph

Article in Federal practitioner : for the health care professionals of the VA, DoD, and PHS, 2025. 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
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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

5 authors.

Danielle H TranUniversity of Washington, Seattle.
Radhika NarlaUniversity of Washington Medical Center, Seattle.
Magdalena WojtowiczVA Puget Sound Health Care System, Seattle, Washington.
Patrick SpoutzVeteran Affairs Integrated Service Network 20, Vancouver, Washington.
Katherine D WyshamUniversity of Washington Medical Center, Seattle.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoporosis medications, notably anabolic therapies, necessitate careful oversight due to their high cost and laboratory monitoring requirements, precise dosing in clinics, and strategic sequencing. These challenges were exacerbated by the COVID-19 pandemic. To address this, we created an automated clinic dashboard to aid in population health management at a US Department of Veterans Affairs osteoporosis clinic. Methods: An automated dashboard was created to host data for patients with ≥ 1 prescription for alendronate, zoledronic acid, abaloparatide, denosumab, or romosozumab when prescriptions, appointments, or laboratory tests were overdue or out of reference range. Results: As of March 20, 2021, 139 patients were displayed on the dashboard; 29% were female aged 40 to 100 years. The dashboard alerted us to 92 (66%) veterans with unmet care needs. The most common alert was 40 overdue laboratory tests (29%); 37 were for patients receiving bisphosphonates (93%). Of the 23 patients (17%) that had overdue medications, 2 (8%) had not refilled oral bisphosphonates, and 18 (20%) were overdue for intravenous bisphosphonates appointments. Three patients transferred care to another clinic. Conclusions: A dashboard alerted the osteoporosis team to veterans overdue for visits, laboratory tests, and prescription renewals, thus minimizing therapy gaps and supporting high-quality care and safety. Although the dashboard was developed in response to the COVID-19 pandemic, it remains a useful patient care resource. The dashboard serves as a valuable clinical support tool for osteoporosis care coordination and has the potential for use at other health care systems.

Identifiers

PMID40529844
PMCPMC12169626

What OpenQuestion holds

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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.