Evidence map›Paper›PMID 34077384›Full record

ArticleJournal of medical Internet research2021

The Impact of Technology-Enabled Care Coordination in a Complex Mental Health System: A Local System Dynamics Model.

Frank Iorfino, Jo-An Occhipinti, Adam Skinner, Tracey Davenport, Shelley Rowe, Ante Prodan, Julie Sturgess, Ian B Hickie

Abstract read
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 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. Unpeeling the onion: Digital triage and monitoring of general practice, private psychiatry, and psychology.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 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

8 authors.

Frank IorfinoBrain and Mind Centre, University of Sydney, Sydney, Australia.ORCID 0000-0003-1109-0972
Jo-An OcchipintiBrain and Mind Centre, University of Sydney, Sydney, Australia.ORCID 0000-0002-2380-1092
Adam SkinnerBrain and Mind Centre, University of Sydney, Sydney, Australia.ORCID 0000-0002-9823-1506
Tracey DavenportBrain and Mind Centre, University of Sydney, Sydney, Australia.ORCID 0000-0003-4218-9238
Shelley RoweBrain and Mind Centre, University of Sydney, Sydney, Australia.ORCID 0000-0002-8501-4457
Ante ProdanTranslational Health Research Institute, Western Sydney University, Sydney, Australia.ORCID 0000-0001-9684-7967
Julie SturgessNorth Coast Primary Health Network, Coffs Harbour, Australia.ORCID 0000-0003-1638-7601
Ian B HickieBrain and Mind Centre, University of Sydney, Sydney, Australia.ORCID 0000-0001-8832-9895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrior to the COVID-19 pandemic, major shortcomings in the way mental health care systems were organized were impairing the delivery of effective care. The mental health impacts of the pandemic, the recession, and the resulting social dislocation will depend on the extent to which care systems will become overwhelmed and on the strategic investments made across the system to effectively respond.

objectiveThis study aimed to explore the impact of strengthening the mental health system through technology-enabled care coordination on mental health and suicide outcomes.

methodsA system dynamics model for the regional population catchment of North Coast New South Wales, Australia, was developed that incorporated defined pathways from social determinants of mental health to psychological distress, mental health care, and suicidal behavior. The model reproduced historic time series data across a range of outcomes and was used to evaluate the relative impact of a set of scenarios on attempted suicide (ie, self-harm hospitalizations), suicide deaths, mental health-related emergency department (ED) presentations, and psychological distress over the period from 2021 to 2030. These scenarios include (1) business as usual, (2) increase in service capacity growth rate by 20%, (3) standard telehealth, and (4) technology-enabled care coordination. Each scenario was tested using both pre- and post-COVID-19 social and economic conditions.

resultsTechnology-enabled care coordination was forecast to deliver a reduction in self-harm hospitalizations and suicide deaths by 6.71% (95% interval 5.63%-7.87%), mental health-related ED presentations by 10.33% (95% interval 8.58%-12.19%), and the prevalence of high psychological distress by 1.76 percentage points (95% interval 1.35-2.32 percentage points). Scenario testing demonstrated that increasing service capacity growth rate by 20% or standard telehealth had substantially lower impacts. This pattern of results was replicated under post-COVID-19 conditions with technology-enabled care coordination being the only tested scenario, which was forecast to reduce the negative impact of the pandemic on mental health and suicide.

conclusionsThe use of technology-enabled care coordination is likely to improve mental health and suicide outcomes. The substantially lower effectiveness of targeting individual components of the mental health system (ie, increasing service capacity growth rate by 20% or standard telehealth) reiterates that strengthening the whole system has the greatest impact on patient outcomes. Investments into more of the same types of programs and services alone will not be enough to improve outcomes; instead, new models of care and the digital infrastructure to support them and their integration are needed.

Indexed as

Biomedical TechnologyCOVID-19Emergency Service, HospitalHumansMental HealthMental Health ServicesNew South WalesPandemicsSARS-CoV-2Suicide, AttemptedTelemedicinecare coordinationcomplex systemshealth systemsinternetmedical informaticsmental healthpolicysimulation

Identifiers

PMID34077384
PMCPMC8274674

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.