Evidence map›Paper›PMID 39077263›Full record

ArticleCureus2024

Improving Transition of Care for Pediatric Patients With Chronic Kidney Disease: A Pilot Project.

Melvin Chan, Sarah Young, Melisha Hanna

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

3 authors.

Melvin ChanPediatric Nephrology, Children's Hospital Colorado, Aurora, USA.
Sarah YoungNephrology, University of Colorado Anschutz Medical Campus, Aurora, USA.
Melisha HannaPediatric Nephrology, Children's Hospital Colorado, Aurora, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Transition is the process of preparing an adolescent or young adult for the adult model of care. Poor transitions have been linked to increased medical utilization and poorer kidney outcomes. There are limited studies evaluating predictors of transition readiness or interventions in pediatric patients with chronic kidney disease (CKD). Methods We enrolled 42 non-dialysis, non-transplant patients with CKD stage 2 or higher and 14 years and older receiving care in our pediatric nephrology clinic. Data collected included demographics, clinical information, and transition readiness as measured by the Transition Readiness Assessment Questionnaire (TRAQ). Patients were provided with a structured, remote curriculum with resources that addressed areas of need. Patients were followed every three to six months. Repeat TRAQ questionnaires were administered six months after enrollment. Results Our study found that younger age and male gender were risk factors for poor transition. Age was consistently a positive predictor of higher TRAQ scores in the medication, appointment, and total score domains (p < 0.05). Male gender was a risk factor for lower TRAQ scores in the appointment and communication domains (p < 0.05). Additionally, our curriculum was effective at improving scores across all TRAQ domains, with an average increase of about 25% in six months. There was no difference in patients who had a three-month follow-up as compared to a six-month follow-up (p > 0.05). Conclusion Our study finds that younger age and male gender are risk factors for poor transition. Additionally, a structured, remote curriculum is effective at improving transition readiness.

Indexed as

adolescent and young adult (aya)chronic kidney disease (ckd)health - knowledgepatient-centered approachremote teachingself-management counselingtransition to adult health care

Identifiers

PMID39077263
PMCPMC11283919

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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.