Evidence map›Paper›PMID 42465141›Full record

ArticleCureus2026

Geographic Rounding on Young Adults With Childhood-Onset Chronic Conditions: A Mixed Methods Retrospective Observational Cohort Study.

Samantha H Collins, Alyssa Platt, Jesse Rhodes, Tyler White, Maragatha Kuchibhatla, Ruchi Doshi

Abstract read
In one paragraph

Article in Cureus, 2026. 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

6 authors.

Samantha H CollinsDepartments of Internal Medicine and Pediatrics, Duke University School of Medicine, Durham, USA.
Alyssa PlattDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, USA.
Jesse RhodesDepartments of Internal Medicine and Pediatrics, Duke University School of Medicine, Durham, USA.
Tyler WhitePerformance Services, Duke University Health System, Durham, USA.
Maragatha KuchibhatlaDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, USA.
Ruchi DoshiDepartments of Internal Medicine and Pediatrics, Duke University School of Medicine, Durham, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Geographic rounding has been associated with improved efficiency and quality of care on inpatient general medicine services. Young adults with childhood-onset chronic conditions (COCC) often experience longer lengths of stay and higher readmission rates than other general medicine populations. To evaluate whether geographic rounding could improve outcomes for this group, these patients were transitioned to a geographic team. Methods We conducted a retrospective observational cohort study comparing length of stay (LOS) and 30-day readmission rates for hospitalized young adults with COCC before and during geographic rounding. Nursing workforce data and workload during the geographic period were analyzed, using a comparable non-specialty geographic unit as a reference. A limited qualitative analysis of a nursing survey was performed to assess attitudes and experiences related to caring for this specialty population. Results LOS was significantly longer during the geographic period (event time ratio=1.29, 95% CI: 1.04 - 1.57). There was no statistically significant difference in readmission rates (risk ratio: 1.45, 95% confidence interval (CI): 0.85 - 2.41). Although measured nursing workload on the geographic unit was similar to that of other geographic units, nurses reported substantial burnout, challenging patient dynamics, and inadequate resources to meet the complexity of patient needs. Conclusions In this specialty population of young adults with COCC, geographic rounding was associated with worse efficiency and was accompanied by unintended workforce challenges. These findings suggest that geographic rounding may not be universally effective for medically and socially complex populations. Implementation of geographic models for specialty cohorts should include early partnership with nursing staff and appropriate training and resource allocation to support both patient care and workforce sustainability.

Indexed as

30-day readmissionadolescent young adult populationsbedside roundingchronic diseaselength of hospital staynursing workload (nwl)

Identifiers

PMID42465141
PMCPMC13375388

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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.