Evidence map›Paper›PMID 29082858›Full record

Trial reportDeutsches Arzteblatt international2017

An Internet-Based Intervention for Chronic Pain.

Jiaxi Lin, Sarah Paganini, Lasse Sander, Marianne Lüking, David Daniel Ebert, Monica Buhrman, Gerhard Andersson, Harald Baumeister

3 registry-linked trialsAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Deutsches Arzteblatt international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 67 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 9 pooled it
–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.

NCT05039554 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

Randomized Trial of Acceptance and Commitment Therapy (ACT) and a Care Management App in Primary Care-based Buprenorphine Treatment

TypeinterventionalSponsorAlbert Einstein College of MedicineRan2023 to 2027Enrolled125ConditionsOpioid-use Disorder, Chronic PainArmsAcceptance and commitment therapy, Valera Smartphone Application, Treatment as Usual
NCT05583851 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Digital Acceptance and Commitment Therapy (Digi-ACT): A Randomized Controlled Trial Pilot Assessing the Efficacy and Feasibility of Software-based Self-managed Intervention Targeting Subclinical Depression and Anxiety in Curative Cancer Patients Within Hong Kong

TypeinterventionalSponsorHolloRan2022 to 2023Enrolled50ConditionsDepression, Anxiety, Quality of Life, CancerArmsAcceptance and Commitment Therapy, Psychoeducation Active Control
NCT07270588 narecruitingnot on this mapstarted 2025, after this paper: background citation

MOBACT: An Internet-Based Guided Self-Help Intervention Based on Acceptance and Commitment Therapy for Chronic Pain

TypeinterventionalSponsorCatholic University of the Sacred HeartRan2025 to 2027Enrolled140ConditionsChronic PainArmsInternet-based intervention
3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Jiaxi LinDepartment of Rehabilitational Psychology and Psychotherapy, Institute of Psychology, University of Freiburg; Psychology Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Private Practice, Freiburg; Clinical Psychology and Psychotherapy, Institute of Psychology, University of Erlangen-Nürnberg; Department of Psychology, Uppsala University, Sweden; Linnaeus Centre HEAD, Swedish Institute for Disability Research, Department of Behavioural Sciences and Learning, Linköping University, and Department of Clinical Neuroscience, Division of Psychiatry, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education Science, University of Ulm.
Sarah Paganini
Lasse Sander
Marianne Lüking
David Daniel Ebert
Monica Buhrman
Gerhard Andersson
Harald Baumeister

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersons with chronic pain can be treated effectively with acceptance and commitment therapy (ACT). In this trial, we examined the effectiveness of guided and unguided ACT-based online treatment (ACTonPain) for chronic pain patients.

methods302 individuals were randomly assigned to ACTonPain with or without guidance (n = 100/101) or to a waiting-list control group (n=101). The primary outcome was pain interference as measured by the Multidimensional Pain Inventory. The secondary outcomes were physical and emotional functioning, pain intensity, ACT process variables, quality of life, satisfaction with the intervention, adherence, and participants' rating of overall improvement. The online measurements were carried out before randomization (T0) and 9 weeks and 6 months after randomization (T1 and T2, respectively). Intention-to-treat (ITT) data analysis was supplemented with additional per-protocol analyses.

resultsThe guided ACTonPain group showed significantly less pain interference than the control group in the ITT analysis (p = 0.01), with a moderate effect size at T1 and T2 (d = 0.58 respectively), corresponding to a number needed to treat (NNT) of 3.14 for both time points. Participants in the guided ACTonPain group also indicated higher pain acceptance (T1: d = 0.59; T2: d = 0.76). The unguided ACTonPain group showed to be significantly less depressed in comparison to the control group at at time T2 (d = 0.50). No significant differences with respect to effectiveness were found between the two ACTonPain groups (p>0.05).

conclusionThe online intervention ACTonPain is effective for persons with chronic pain when the program is guided. Further research in a variety of settings of health care is needed in order to determine whether and how ACTonPain can be implemented.

Indexed as

Cognitive Behavioral TherapyInternetAdultAgedChronic PainDepressionFemaleHumansMaleMiddle AgedQuality of LifeWaiting Lists

Identifiers

PMID29082858
PMCPMC5672594

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.