Evidence map›Paper›PMID 33484114›Full record

ArticleJournal of medical Internet research2021

Conversational Agents as Mediating Social Actors in Chronic Disease Management Involving Health Care Professionals, Patients, and Family Members: Multisite Single-Arm Feasibility Study.

Tobias Kowatsch, Theresa Schachner, Samira Harperink, Filipe Barata, Ullrich Dittler, Grace Xiao, Catherine Stanger, Florian V Wangenheim, Elgar Fleisch, Helmut Oswald and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
11.8field-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.

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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 103 citations in OpenAlex.

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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

11 authors at 7 institutions in 3 countries.

Tobias KowatschCentre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-5939-4145
Theresa SchachnerCentre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-5505-8811
Samira HarperinkCentre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-0583-8948
Filipe BarataCentre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-3905-2380
Ullrich DittlerFakultät Digitale Medien, Campus Furtwangen, Hochschule Furtwangen University, Furtwangen, Germany.ORCID 0000-0003-1272-1107
Grace XiaoJohns Hopkins University School of Medicine, Johns Hopkins University, Baltimore, MD, United States.ORCID 0000-0001-5402-9421
Catherine StangerCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States.ORCID 0000-0003-2221-5232
Florian V WangenheimCentre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-3964-2353
Elgar FleischCentre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-4842-1117
Helmut OswaldDepartment of Child and Adolescent Health, Cantonal Hospital Winterthur, Winterthur, Switzerland.ORCID 0000-0001-9585-4532
Alexander MöllerDivision of Respiratory Medicine and Childhood Research Center, University Children's Hospital Zurich, Zurich, Switzerland.ORCID 0000-0001-7284-4251
ETH Zurich · CHUniversity of St.Gallen · CHDartmouth College · USFurtwangen University · DEJohns Hopkins University · USKantonsspital Winterthur · CHUniversity Children's Hospital Zurich · CH

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Thinking Outside the Clinic: A Digital Health Approach for Young Adults with Type 1 DiabetesR01DK124428 · NIDDK · DARTMOUTH COLLEGE · PI CATHERINE STANGER, CATHERINE STANGER CATHERINE STANGER · 2020 to 2024
$3.1M
NIDA NIH HHS P30 DA029926NIDDK NIH HHS R01 DK124428
6 · The paper itself

Abstract

backgroundSuccessful management of chronic diseases requires a trustful collaboration between health care professionals, patients, and family members. Scalable conversational agents, designed to assist health care professionals, may play a significant role in supporting this collaboration in a scalable way by reaching out to the everyday lives of patients and their family members. However, to date, it remains unclear whether conversational agents, in such a role, would be accepted and whether they can support this multistakeholder collaboration.

objectiveWith asthma in children representing a relevant target of chronic disease management, this study had the following objectives: (1) to describe the design of MAX, a conversational agent-delivered asthma intervention that supports health care professionals targeting child-parent teams in their everyday lives; and (2) to assess the (a) reach of MAX, (b) conversational agent-patient working alliance, (c) acceptance of MAX, (d) intervention completion rate, (e) cognitive and behavioral outcomes, and (f) human effort and responsiveness of health care professionals in primary and secondary care settings.

methodsMAX was designed to increase cognitive skills (ie, knowledge about asthma) and behavioral skills (ie, inhalation technique) in 10-15-year-olds with asthma, and enables support by a health professional and a family member. To this end, three design goals guided the development: (1) to build a conversational agent-patient working alliance; (2) to offer hybrid (human- and conversational agent-supported) ubiquitous coaching; and (3) to provide an intervention with high experiential value. An interdisciplinary team of computer scientists, asthma experts, and young patients with their parents developed the intervention collaboratively. The conversational agent communicates with health care professionals via email, with patients via a mobile chat app, and with a family member via SMS text messaging. A single-arm feasibility study in primary and secondary care settings was performed to assess MAX.

resultsResults indicated an overall positive evaluation of MAX with respect to its reach (49.5%, 49/99 of recruited and eligible patient-family member teams participated), a strong patient-conversational agent working alliance, and high acceptance by all relevant stakeholders. Moreover, MAX led to improved cognitive and behavioral skills and an intervention completion rate of 75.5%. Family members supported the patients in 269 out of 275 (97.8%) coaching sessions. Most of the conversational turns (99.5%) were conducted between patients and the conversational agent as opposed to between patients and health care professionals, thus indicating the scalability of MAX. In addition, it took health care professionals less than 4 minutes to assess the inhalation technique and 3 days to deliver related feedback to the patients. Several suggestions for improvement were made.

conclusionsThis study provides the first evidence that conversational agents, designed as mediating social actors involving health care professionals, patients, and family members, are not only accepted in such a "team player" role but also show potential to improve health-relevant outcomes in chronic disease management.

Indexed as

CommunicationChronic DiseaseFamilyFeasibility StudiesFemaleHealth PersonnelHumansMalePatientsasthmachatbotchronic diseasesconversational agentdigital health interventioneHealthfeasibility studyintervention designmHealth

Identifiers

PMID33484114
PMCPMC7929753
OpenAlexW3122673691

What OpenQuestion holds

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LicenceCC BY
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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.