Evidence map›Paper›PMID 40178344›Full record

ArticlePain management2025

Pain patterns and their association with psychological measures among people accessing an online pain management program.

Tania Gardner, Christine T Shiner, Alison Mahoney, Henry Loui, Marnee McKay

Abstract read
In one paragraph

Article in Pain management, 2025. 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

5 authors.

Tania GardnerSydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0001-6474-9983
Christine T ShinerClinical Research Unit for Anxiety and Depression (CRUfAD), St Vincent's Hospital, Sydney, Australia.ORCID 0000-0001-9891-3307
Alison MahoneyClinical Research Unit for Anxiety and Depression (CRUfAD), St Vincent's Hospital, Sydney, Australia.ORCID 0000-0003-1118-4055
Henry LouiSydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Marnee McKaySydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-8126-3579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to explore the association between the distribution of pain sites and psychosocial measures at baseline of patients enrolled in an online MPMP. PATIENTS: This study analyzed baseline data from adults (

methodsParticipants completed measures of Pain Self-Efficacy Questionnaire (PSEQ), Tampa Scale for Kinesiophobia (TSK), Pain Disability Index (PDI), Patient Health Questionnaire (PHQ-9), and Kessler Psychological Distress Scale (K-10). Pain was categorized by the number of body regions affected: 1, 2, 3, >3. One-way ANOVA tests examined psychosocial measure differences across these groups.

resultsThe majority of participants had multisite pain, with multisite pain showing significantly worse psychosocial outcome measures (

conclusionMost online participants reported multisite pain, with multisite pain associated with poorer baseline psychosocial outcome measures, excluding kinesiophobia. The pattern of pain should be considered when developing and implementing online programs.

Indexed as

Chronic PainPainPain ManagementAdultAgedFemaleHumansInternetMaleMiddle AgedPain MeasurementSelf EfficacySurveys and QuestionnairesChronic paindigital healthmultisite painpain managementreboot online

Identifiers

PMID40178344
PMCPMC12001539

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.