Evidence map›Paper›PMID 42082396›Full record

ArticlePain medicine (Malden, Mass.)2026

Cost savings and quality-of-life gains associated with the use of an AI-powered digital tool for self-management of chronic pain based on a multicenter cohort study.

Sara Olofsson, Maria L Rosén Klement, Antje M Barreveld, Neel Mehta, Ulf Persson, Carl A K Borrebaeck

Abstract readMulticenter Study
In one paragraph

Article in Pain medicine (Malden, Mass.), 2026. 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

6 authors.

Sara OlofssonThe Swedish Institute for Health Economics (IHE), Lund, Sweden.ORCID 0000-0003-2609-2065
Maria L Rosén KlementDepartment of Immunotechnology, Lund University, Medicon Village, Lund, Sweden.
Antje M BarreveldDepartment of Anesthesiology, Tufts University School of Medicine, Newton-Wellesley Hospital, Newton, MA, United States.
Neel MehtaDepartment of Anesthesiology, Division of Pain Management, Weill Cornell Medicine, New York, NY, United States.ORCID 0000-0002-2761-7903
Ulf PerssonThe Swedish Institute for Health Economics (IHE), Lund, Sweden.
Carl A K BorrebaeckDepartment of Immunotechnology, Lund University, Medicon Village, Lund, Sweden.

Funding

Lund UniversityPaindrainer AB
6 · The paper itself

Abstract

backgroundChronic pain is a highly prevalent disease, leading to high health care costs, impaired productivity, and decreased quality of life. An artificial intelligence (AI)-powered digital tool for self-management (PaindrainerTM) has been shown to be an effective treatment in chronic pain and could have potential to reduce the burden on costs and quality of life.

objectiveThe objective of this study was to estimate the cost savings and quality-of-life gains associated with the use of an AI-powered digital tool for self-management of chronic pain. The study is a subsequent health economic analysis of previously published data.

methodResource use and quality-of-life data were derived from a 1-arm, multicenter study in the United States. Differences between baseline and follow-up (6 and 12 weeks) were translated to an annual monetary estimate by using published literature, national statistics, and accepted threshold values for a quality-adjusted life year (QALY).

resultAt 12 weeks, the use of an AI-powered digital tool was associated with a reduction in health care costs of $127 per user and an increase in annual productivity of $930 per user. In addition, the intervention was associated with an increase in health of 0.0275 QALYs, corresponding to a monetized value of $1375.

conclusionThe analysis of cost savings and quality-of-life gains associated with the use of an AI-powered digital tool for pain self-management demonstrates significant potential improvements in measured parameters of up to $2432 per person in total ($7380 per year, assuming 70% compliance), supporting this as an important treatment alternative.

Indexed as

Artificial IntelligenceChronic PainCost SavingsPain ManagementQuality of LifeSelf-ManagementAdultAgedCohort StudiesFemaleHumansMaleMiddle Agedartificial intelligencechronic paincostsdigitalquality of lifeself-management

Identifiers

PMID42082396
PMCPMC13537735

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.