Evidence map›Paper›PMID 41268967›Full record

ArticleJournal of medical Internet research2025

Association Between a Co-Designed Dashboard and Use of Costly Health Services in Patients With Chronic Kidney Disease and Advanced Cancer: Propensity Score-Adjusted Difference-in-Differences Study.

Saki Amagai, Alexandra Harris, Nisha Mohindra, Sheetal Kircher, Jeffrey A Linder, Vikram Aggarwal, John D Peipert, Katy Bedjeti, Quan Mai, Cynthia Barnard and 5 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 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
–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

15 authors.

Saki AmagaiNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-2825-4219
Alexandra HarrisNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-6693-3856
Nisha MohindraNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-9876-7274
Sheetal KircherNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0009-0005-0041-1736
Jeffrey A LinderNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-2217-184X
Vikram AggarwalNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-9119-655X
John D PeipertNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-5762-7881
Katy BedjetiNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-5910-112X
Quan MaiNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0009-0000-8377-4279
Cynthia BarnardNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-5522-2407
Ava CoughlinNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-4048-4295
Mary O'ConnorNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-1096-3340
Victoria MorkenNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0003-3063-8665
David CellaNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0002-9881-4541
Neil JordanNorthwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID https://orcid.org/0000-0001-8467-822X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe US health care system faces escalating costs, increasing emphasis on patient autonomy, and a regulatory shift toward patient-centered care and patient-reported outcomes (PROs). Leveraging PROs to support shared decision-making has the potential to improve outcomes and reduce health care use for patients with advanced chronic conditions.

objectiveThis study aims to evaluate the impact of a PRO-based clinical dashboard on the use of costly health services among patients with advanced cancer and chronic kidney disease (CKD).

methodsWe conducted a quasi-experimental, propensity score-weighted, difference-in-differences analysis using routinely collected data (June 2020 to January 2022) from a large US academic health system. Dashboard users were compared with contemporaneous nonexposed patients matched on clinical criteria. The primary outcomes were unplanned all-cause hospital admissions, potentially avoidable emergency department visits, excess days in acute care within 30 days of discharge, and 7-day readmissions. Cancer-specific secondary outcomes included acute encounters during outpatient chemotherapy, oncology triage use, advance directive completion, and hospice use. CKD-specific outcomes were CKD-related acute care use and disease progression.

resultsIn the advanced cancer cohort (dashboard users: n=284; dashboard nonusers: n=917), dashboard use was associated with significantly fewer chemotherapy-related emergency department or hospital encounters (ratio-in-odds ratios 0.35, 95% CI 0.16-0.75) and a nonsignificant 1.7-percentage point reduction in unplanned admissions (β=-0.017, 95% CI -0.107 to 0.072). Using Firth penalized logistic regression to reduce small sample bias, dashboard use was also associated with significantly higher odds of 7-day readmissions (ratio-in-odds ratios 8.58, 95% CI 2.28-32.32). Among readmissions in the dashboard user group, most (13/14, 93%) were scheduled by clinicians. Excess days in acute care increased by 4 percentage points (β=0.040, 95% CI -0.001 to 0.089). Advance directive completion declined significantly (β=-0.009, 95% CI -0.039 to 0.020). In the CKD cohort (dashboard users: n=365; dashboard nonusers: n=2137), no significant differences were observed for any primary or CKD-specific outcome.

conclusionsIn routine oncology practice, a PRO dashboard was associated with fewer acute care encounters during chemotherapy but more planned early readmissions. The dashboard had no measurable effect on patients with CKD. These disease-specific mixed results highlight the need to tailor dashboards to the clinical context and embed them within workflows that can act on real-time PRO information.

Indexed as

NeoplasmsRenal Insufficiency, ChronicAgedFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresPropensity ScoreUnited Statesdashboardhealth care costpatient-reported outcomePROPRO-based dashboardshared decision-making

Identifiers

PMID41268967
PMCPMC12680935

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LicenceCC BY
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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.