Evidence map›Paper›PMID 34633061›Full record

Trial reportJournal of the American Geriatrics Society2022

Cost-effectiveness of telephone cognitive behavioral therapy for osteoarthritis-related insomnia.

Kai Yeung, Weiwei Zhu, Susan M McCurry, Michael Von Korff, Robert Wellman, Charles M Morin, Michael V Vitiello

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of the American Geriatrics Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Sleep as a Therapeutic Target for Pain Management.Current pain and headache reports · 2023
    Review
  7. Virtual Tools to Enable Management of Knee Osteoarthritis.Current treatment options in rheumatology · 2023
    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

7 authors at 3 institutions in 2 countries.

Kai YeungKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.ORCID 0000-0002-1102-2040
Weiwei ZhuKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Susan M McCurryDepartment of Child, Family, and Population Health Nursing, University of Washington School of Nursing, Seattle, Washington, USA.
Michael Von KorffKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Robert WellmanKaiser Permanente Washington Health Research Institute, Seattle, Washington, USA.
Charles M MorinDepartment of Psychology, Université Laval, Quebec City, Quebec, Canada.
Michael V VitielloDepartment of Psychiatry & Behavioral Sciences, University of Washington School of Medicine, Seattle, Washington, USA.
Kaiser Permanente Washington Health Research Institute · USUniversity of Washington · USUniversité Laval · CA

Funding

Efficacy of Scalable CBT for Insomnia in Older Adults with Osteoarthritis PainR01AG053221 · NIA · UNIVERSITY OF WASHINGTON · PI MCCURRY, SUSAN M, VITIELLO, MICHAEL V. · 2016 to 2020
$3.2M
NIA NIH HHS R01 AG053221NIA NIH HHS R01AG053221
6 · The paper itself

Abstract

backgroundOsteoarthritis-related insomnia is the most common form of comorbid insomnia among older Americans. A randomized clinical trial found that six sessions of telephone-delivered cognitive behavioral therapy for insomnia (CBT-I) improved sleep outcomes in this population. Using these data, we evaluated the incremental cost-effectiveness of CBT-I from a healthcare sector perspective.

methodsThe study was based on 325 community-dwelling older adults with insomnia and osteoarthritis pain enrolled with Kaiser Permanente of Washington State. We measured quality-adjusted life years (QALYs) using the EuroQol 5-dimension scale. Arthritis-specific quality of life was measured using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Insomnia-specific quality of life was measured using the Insomnia Severity Index (ISI) and nights without clinical insomnia (i.e., "insomnia-free nights"). Total healthcare costs included intervention and healthcare utilization costs.

resultsOver the 12 months after randomization, CBT-I improved ISI and WOMAC by -2.6 points (95% CI: -2.9 to -2.4) and -2.6 points (95% CI: -3.4 to -1.8), respectively. The ISI improvement translated into 89 additional insomnia-free nights (95% CI: 79 to 98) over the 12 months. CBT-I did not significantly reduce total healthcare costs (-$1072 [95% CI: -$1968 to $92]). Improvements in condition-specific measures were not reflected in QALYs gained (-0.01 [95% CI: -0.01 to 0.01]); at a willingness-to-pay of $150,000 per QALY, CBT-I resulted in a positive net monetary benefit of $369 with substantial uncertainty (95% CI: -$1737 to $2270).

conclusionCBT-I improved sleep and arthritis function without increasing costs. These findings support the consideration of telephone CBT-I for treating insomnia among older adults with comorbid OA. Our findings also suggest potential limitations of the general quality of life measures in assessing interventions designed to improve sleep and arthritis outcomes.

Indexed as

AgedCognitive Behavioral TherapyCost-Benefit AnalysisFemaleHumansMaleOsteoarthritisPatient Health QuestionnaireQuality-Adjusted Life YearsSingle-Blind MethodSleep Initiation and Maintenance DisordersTelephonecognitive behavioral therapycost-effectiveness analysisinsomniaosteoarthritissleep initiation and maintenance disorders

Identifiers

PMID34633061
PMCPMC8742775
OpenAlexW3207594463

What OpenQuestion holds

Textmetadata
LicenceTDM
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.