Evidence map›Paper›PMID 32242820›Full record

Trial reportJMIR mHealth and uHealth2020

A Smartphone-Based Health Care Chatbot to Promote Self-Management of Chronic Pain (SELMA): Pilot Randomized Controlled Trial.

Sandra Hauser-Ulrich, Hansjörg Künzli, Danielle Meier-Peterhans, Tobias Kowatsch

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05003518 (ParentText User Engagement and Effectiveness Study), which is not on this map. Cited by 104 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 12 pooled it
20.9field-weighted citation impact, top 1% 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.

NCT05003518 naterminatednot on this mapstarted 2022, after this paper: background citation

ParentText User Engagement and Effectiveness Study

TypeinterventionalSponsorUniversity of OxfordRan2022 to 2022Enrolled1,400ConditionsEngagement, Positive Parenting, Child Maltreatment, Intimate Partner ViolenceArmsParentText
3 · Its place in the literature

Who cites it

104 citing papers in PubMed, 12 syntheses or guidelines pooled it, 225 citations in OpenAlex.

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  4. Moving towards the use of artificial intelligence in pain management.European journal of pain (London, England) · 2025
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44 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 1 country.

Sandra Hauser-UlrichDepartment of Applied Psychology, University of Applied Sciences Zurich, Zurich, Switzerland.ORCID 0000-0003-0008-5828
Hansjörg KünzliDepartment of Applied Psychology, University of Applied Sciences Zurich, Zurich, Switzerland.ORCID 0000-0003-3432-8349
Danielle Meier-PeterhansDepartment Primary School, Division Education, Culture and Sports, Aarau, Switzerland.ORCID 0000-0003-1240-542X
Tobias KowatschCenter for Digital Health Interventions, Institute of Technology Management, University of St Gallen, St Gallen, Switzerland.ORCID 0000-0001-5939-4145
ZHAW Zurich University of Applied Sciences · CHDepartement Bildung, Kultur und Sport · CHUniversity of St.Gallen · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOngoing pain is one of the most common diseases and has major physical, psychological, social, and economic impacts. A mobile health intervention utilizing a fully automated text-based health care chatbot (TBHC) may offer an innovative way not only to deliver coping strategies and psychoeducation for pain management but also to build a working alliance between a participant and the TBHC.

objectiveThe objectives of this study are twofold: (1) to describe the design and implementation to promote the chatbot painSELfMAnagement (SELMA), a 2-month smartphone-based cognitive behavior therapy (CBT) TBHC intervention for pain self-management in patients with ongoing or cyclic pain, and (2) to present findings from a pilot randomized controlled trial, in which effectiveness, influence of intention to change behavior, pain duration, working alliance, acceptance, and adherence were evaluated.

methodsParticipants were recruited online and in collaboration with pain experts, and were randomized to interact with SELMA for 8 weeks either every day or every other day concerning CBT-based pain management (n=59), or weekly concerning content not related to pain management (n=43). Pain-related impairment (primary outcome), general well-being, pain intensity, and the bond scale of working alliance were measured at baseline and postintervention. Intention to change behavior and pain duration were measured at baseline only, and acceptance postintervention was assessed via self-reporting instruments. Adherence was assessed via usage data.

resultsFrom May 2018 to August 2018, 311 adults downloaded the SELMA app, 102 of whom consented to participate and met the inclusion criteria. The average age of the women (88/102, 86.4%) and men (14/102, 13.6%) participating was 43.7 (SD 12.7) years. Baseline group comparison did not differ with respect to any demographic or clinical variable. The intervention group reported no significant change in pain-related impairment (P=.68) compared to the control group postintervention. The intention to change behavior was positively related to pain-related impairment (P=.01) and pain intensity (P=.01). Working alliance with the TBHC SELMA was comparable to that obtained in guided internet therapies with human coaches. Participants enjoyed using the app, perceiving it as useful and easy to use. Participants of the intervention group replied with an average answer ratio of 0.71 (SD 0.20) to 200 (SD 58.45) conversations initiated by SELMA. Participants' comments revealed an appreciation of the empathic and responsible interaction with the TBHC SELMA. A main criticism was that there was no option to enter free text for the patients' own comments.

conclusionsSELMA is feasible, as revealed mainly by positive feedback and valuable suggestions for future revisions. For example, the participants' intention to change behavior or a more homogenous sample (eg, with a specific type of chronic pain) should be considered in further tailoring of SELMA.

trial registrationGerman Clinical Trials Register DRKS00017147; https://tinyurl.com/vx6n6sx, Swiss National Clinical Trial Portal: SNCTP000002712; https://www.kofam.ch/de/studienportal/suche/70582/studie/46326.

Indexed as

Chronic PainSelf-ManagementTelemedicineAdultFemaleHumansMalePilot ProjectsSmartphonechatbotchronic paincognitive behavior therapyconversational agentdigital healthhealth carepain self-managementpsychoeducationsmartphonetext-based

Identifiers

PMID32242820
PMCPMC7165314
OpenAlexW3002751842

What OpenQuestion holds

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LicenceCC BY
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.