Evidence map›Paper›PMID 28077345›Full record

ArticleJMIR mental health2017

Tips and Traps: Lessons From Codesigning a Clinician E-Monitoring Tool for Computerized Cognitive Behavioral Therapy.

Frederick Sundram, Susan J Hawken, Karolina Stasiak, Mathijs Fg Lucassen, Theresa Fleming, Matthew Shepherd, Andrea Greenwood, Raechel Osborne, Sally N Merry

Open access · goldAbstract read
In one paragraph

Article in JMIR mental health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 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

9 authors at 1 institution in 2 countries.

Frederick SundramDepartment of Psychological Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-6311-9856
Susan J HawkenDepartment of General Practice and Primary Health Care, The University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-6560-2892
Karolina StasiakDepartment of Psychological Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-1153-3123
Mathijs Fg LucassenDepartment of Psychological Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0001-6958-3468
Theresa FlemingDepartment of Psychological Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-5174-9359
Matthew ShepherdSchool of Counselling, Human Services and Social Work, The University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0003-4238-7541
Andrea GreenwoodDepartment of Clinical Psychology, The University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-5781-9397
Raechel OsborneKapiti Youth Support, Paraparaumu, New Zealand.ORCID http://orcid.org/0000-0002-5320-8281
Sally N MerryDepartment of Psychological Medicine, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID http://orcid.org/0000-0002-8281-1573
University of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputerized cognitive behavioral therapy (cCBT) is an acceptable and promising treatment modality for adolescents with mild-to-moderate depression. Many cCBT programs are standalone packages with no way for clinicians to monitor progress or outcomes. We sought to develop an electronic monitoring (e-monitoring) tool in consultation with clinicians and adolescents to allow clinicians to monitor mood, risk, and treatment adherence of adolescents completing a cCBT program called SPARX (Smart, Positive, Active, Realistic, X-factor thoughts).

objectiveThe objectives of our study were as follows: (1) assess clinicians' and adolescents' views on using an e-monitoring tool and to use this information to help shape the development of the tool and (2) assess clinician experiences with a fully developed version of the tool that was implemented in their clinical service.

methodsA descriptive qualitative study using semistructured focus groups was conducted in New Zealand. In total, 7 focus groups included clinicians (n=50) who worked in primary care, and 3 separate groups included adolescents (n=29). Clinicians were general practitioners (GPs), school guidance counselors, clinical psychologists, youth workers, and nurses. Adolescents were recruited from health services and a high school. Focus groups were run to enable feedback at 3 phases that corresponded to the consultation, development, and postimplementation stages. Thematic analysis was applied to transcribed responses.

resultsFocus groups during the consultation and development phases revealed the need for a simple e-monitoring registration process with guides for end users. Common concerns were raised in relation to clinical burden, monitoring risk (and effects on the therapeutic relationship), alongside confidentiality or privacy and technical considerations. Adolescents did not want to use their social media login credentials for e-monitoring, as they valued their privacy. However, adolescents did want information on seeking help and personalized monitoring and communication arrangements. Postimplementation, clinicians who had used the tool in practice revealed no adverse impact on the therapeutic relationship, and adolescents were not concerned about being e-monitored. Clinicians did need additional time to monitor adolescents, and the e-monitoring tool was used in a different way than was originally anticipated. Also, it was suggested that the registration process could be further streamlined and integrated with existing clinical data management systems, and the use of clinician alerts could be expanded beyond the scope of simply flagging adolescents of concern.

conclusionsAn e-monitoring tool was developed in consultation with clinicians and adolescents. However, the study revealed the complexity of implementing the tool in clinical practice. Of salience were privacy, parallel monitoring systems, integration with existing electronic medical record systems, customization of the e-monitor, and preagreed monitoring arrangements between clinicians and adolescents.

Indexed as

cognitive therapydepressione-therapyprimary health carepsychology, adolescentpsychotherapy

Identifiers

PMID28077345
PMCPMC5266827
OpenAlexW2577173282

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.