Evidence map›Paper›PMID 42638821›Full record

ArticleJournal of multimorbidity and comorbidity

Examining therapeutic inertia patterns in type 2 diabetes patients with multiple chronic conditions: Time-to-event analysis.

Helen Chen, Lap Pui Chung, Patrick Balius, Aishwarya Shishir Budhkar, Paras Punater, Mark Fu, Titus Schleyer, Elaine Sang, Isaac Nkrumah, Julian Wolfson

Abstract read
In one paragraph

Article in Journal of multimorbidity and comorbidity. 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

10 authors.

Helen ChenDivison of Nursing Science, School of Nursing, Rutgers University, New Brunswick, NJ, USA.ORCID https://orcid.org/0000-0003-4371-1147
Lap Pui ChungDivision of Biostatistics & Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Patrick BaliusDivision of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Aishwarya Shishir BudhkarDepartment of Computer Science, Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, Bloomington, IN, USA.
Paras PunaterDepartment of Computer Science, Purdue University, West Lafayette, IN, USA.
Mark FuDepartment of Computer Science, College of William and Mary, Williamsburg, VA, USA.
Titus SchleyerCenter for Biomedical Informatics, Regenstrief Institute, Inc., Indianapolis, IN, USA.
Elaine SangNewCourtland Center for Transitions and Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, USA.
Isaac NkrumahDivison of Nursing Science, School of Nursing, Rutgers University, New Brunswick, NJ, USA.
Julian WolfsonDivision of Biostatistics & Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Improving glycemic control among underserved patients with insulin-treated type 2 diabetes through nurse-led, app-based behavioral interventionK99NR020377 · NINR · INDIANA UNIVERSITY INDIANAPOLIS · PI CHEN, HELEN NAI-CHI · 2023 to 2024
$325k
Sepsis Patient Education: Perspectives from Home Health Nurses and Knowledge among Sepsis SurvivorsF31NR021242 · NINR · UNIVERSITY OF PENNSYLVANIA · PI SANG, ELAINE · 2024 to 2025
$96k
NCATS NIH HHS UL1 TR002529NINR NIH HHS F31 NR021242NINR NIH HHS K99 NR020377
6 · The paper itself

Abstract

Objective: Therapeutic inertia (TI) in type 2 diabetes (T2D)-delayed treatment adjustment despite elevated A1C-is often complicated by multiple chronic conditions (MCC). We examined how clinicians address TI in patients with T2D and MCC and evaluated association with patient, clinic, and neighborhood factors. Methods: Using electronic health records from two Midwestern U.S. health systems, we identified a retrospective six-year cohort of adults with T2D, MCC, and above-target A1C (>7% [53 mmol/mol] for age < 65; >8% [64 mmol/mol] for age Findings: A cohort of 18,003 adults met eligibility criteria (mean age 59; 78% White). Among patients with T2D and MCC Conclusion: Therapeutic inertia varied by patient, clinic, and neighborhood factors, emphasizing the need for targeted, multifaceted interventions to reduce TI, especially among populations facing socioeconomic and mental health challenges.

Indexed as

A1Cglycemicprescriptionstherapeutic inertiatype 2 diabetes

Identifiers

PMID42638821
PMCPMC13500946

What OpenQuestion holds

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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.