Evidence map›Paper›PMID 31131853›Full record

ArticleTranslational behavioral medicine2020

Technology-assisted cognitive-behavioral therapy intervention for end-stage renal disease.

Karen P Jakubowski, Manisha Jhamb, Jonathan Yabes, Swathi Gujral, Lauren E Oberlin, Filitsa H Bender, Jennifer L Steel

Open access · greenAbstract read
In one paragraph

Article in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 25% of its field
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

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Insights into effective fatigue reducing interventions in kidney transplant candidates: a scoping review.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Predicting Kidney Transplant Evaluation Non-attendance.Journal of clinical psychology in medical settings · 2024
    Article
  11. Review
  12. Article
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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

7 authors at 2 institutions in 1 country.

Karen P JakubowskiDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Manisha JhambDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Jonathan YabesCenter for Research on Heath Care, Division of General Internal Medicine, Department of Medicine and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA.
Swathi GujralPittsburgh VA Healthcare System, Pittsburgh, PA, USA.
Lauren E OberlinDepartment of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Filitsa H BenderDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Jennifer L SteelDepartment of Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · USVA Pittsburgh Healthcare System · US

Funding

Technology Assisted stepped Collaborative Care Intervention to Improve Patient-centered Outcomes in HemodialysisR01DK114085 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Manisha Jhamb, Mark Lynn Unruh · 2017 to 2026
$5.4M
NIDDK NIH HHS R01 DK114085
6 · The paper itself

Abstract

Technology-assisted cognitive-behavioral therapy (CBT) interventions have been conducted for symptoms including depression, pain, and fatigue in patients with chronic illnesses but not in end-stage renal disease (ESRD). The purpose of this study was to pilot the feasibility and acceptability of a technology-assisted CBT intervention in ESRD patients on hemodialysis (HD), share design and implementation lessons learned, and provide preliminary results on changes in select patient-reported symptoms. This was a single-center pilot feasibility study of adult ESRD patients on HD. Study eligibility required clinically elevated levels of at least one symptom (depression, pain, or fatigue). Patients met weekly with a CBT therapist for eight sessions, each 45-60 min, during HD sessions via a video-conferencing platform. Symptom questionnaires were completed at baseline and 3 months follow-up. Of 10 patients screened, 100% screened positive for at least one symptom, 100% of eligible patients consented, and eight (of 10) completed the intervention (mean age 59 years, 50% male, 50% African American). Patient adherence and satisfaction was high, and seven of the eight patients completed all eight prescribed sessions. Minimal interference with HD was reported. Preliminary results indicate no statistically significant changes in depression, fatigue, or pain at follow-up. However, there was small improvement in SF-36 Physical Component score [t(7) = -2.60, p = .035], and four of the six patients (67%) with clinically elevated pain at baseline reported improvement at follow-up. A technology-assisted CBT intervention for ESRD patients was feasible, well-accepted, and required minimal additional resources in the HD setting. Larger, adequately powered clinical trials are needed to evaluate the effect on ESRD patient-reported outcomes.

Indexed as

Cognitive Behavioral TherapyKidney Failure, ChronicFatigueFemaleHumansMaleMiddle AgedRenal DialysisTechnologyCBTDepressionESRDFatigueHemodialysisPainTelemedicine

Identifiers

PMID31131853
PMCPMC7413192
OpenAlexW2947914078

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.