Evidence map›Paper›PMID 37490321›Full record

ArticleJMIR human factors2023

The Polarization of Clinician and Service Staff Perspectives After the Use of Health Information Technology in Youth Mental Health Services: Implementation and Evaluation Study.

Sarah McKenna, Sarah Piper, William Capon, Alison Crowley, Lucas Lira, Haley M LaMonica, Min Kyung Chong, Elizabeth Scott, Ian Hickie, Frank Iorfino

Abstract read
In one paragraph

Article in JMIR human factors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  3. Observational
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  6. Article
  7. Youth Perspectives on 'Highly Personalised and Measurement-Based Care': Qualitative Co-Design of Education Materials.Health expectations : an international journal of public participation in health care and health policy · 2024
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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

10 authors.

Sarah McKenna *Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0002-8560-6399
Sarah Piper *Faculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0002-3344-0382
William CaponFaculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0001-6500-9629
Alison CrowleyMind Plasticity, Sydney, Australia.ORCID https://orcid.org/0009-0000-8334-2134
Lucas LiraFaculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0009-0004-4483-8195
Haley M LaMonicaFaculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0002-6563-5467
Min Kyung ChongFaculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0003-4562-731X
Elizabeth ScottFaculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0003-3907-0324
Ian HickieFaculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0001-8832-9895
Frank IorfinoFaculty of Medicine and Health, Brain and Mind Centre, The University of Sydney, Camperdown, Australia.ORCID https://orcid.org/0000-0003-1109-0972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHighly personalized care is substantially improved by technology platforms that assess and track patient outcomes. However, evidence regarding how to successfully implement technology in real-world mental health settings is limited.

objectiveThis study aimed to naturalistically monitor how a health information technology (HIT) platform was used within 2 real-world mental health service settings to gain practical insights into how HIT can be implemented and sustained to improve mental health service delivery.

methodsAn HIT (The Innowell Platform) was naturally implemented in 2 youth mental health services in Sydney, Australia. Web-based surveys (n=19) and implementation logs were used to investigate staff attitudes toward technology before and after implementation. Descriptive statistics were used to track staff attitudes over time, whereas qualitative thematic analysis was used to explore implementation log data to gain practical insights into useful implementation strategies in real-world settings.

resultsAfter the implementation, the staff were nearly 3 times more likely to agree that the HIT would improve care for their clients (3/12, 25% agreed before the implementation compared with 7/10, 70% after the implementation). Despite this, there was also an increase in the number of staff who disagreed that the HIT would improve care (from 1/12, 8% to 2/10, 20%). There was also decreased uncertainty (from 6/12, 50% to 3/10, 30%) about the willingness of the service to implement the technology for its intended purpose, with similar increases in the number of staff who agreed and disagreed with this statement. Staff were more likely to be uncertain about whether colleagues in my service are receptive to changes in clinical processes (not sure rose from 5/12, 42% to 7/10, 70%). They were also more likely to report that their service already provides the best mental health care (agreement rose from 7/12, 58% to 8/10, 80%). After the implementation, a greater proportion of participants reported that the HIT enabled shared or collaborative decision-making with young people (2/10, 20%, compared with 1/12, 8%), enabled clients to proactively work on their mental health care through digital technologies (3/10, 30%, compared with 2/12, 16%), and improved their response to suicidal risk (4/10, 40% compared with 3/12, 25%).

conclusionsThis study raises important questions about why clinicians, who have the same training and support in using technology, develop more polarized opinions on its usefulness after implementation. It seems that the uptake of HIT is heavily influenced by a clinician's underlying beliefs and attitudes toward clinical practice in general as well as the role of technology, rather than their knowledge or the ease of use of the HIT in question.

Indexed as

adolescentdigital technologieshealth care professionalhealth care staffhealth care workerhealth information technologyimplementation scienceinformation systemmeasurement-based caremental healthperspectiveproviderservice deliveryyouth

Identifiers

PMID37490321
PMCPMC10410532

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.