Evidence map›Paper›PMID 37602116›Full record

ArticleCureus2023

Closing the Mental Health Access Gap Through Novel Analytics.

Christine M Skovira, Elizabeth Pfoh, Amy Thompson, Julie Rish

Open access · diamondAbstract readEditorial
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 89% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Christine M SkoviraDepartment of Medicine, Michigan State University College of Human Medicine, Grand Rapids, USA.
Elizabeth PfohCenter for Value-Based Care Research, Cleveland Clinic Foundation, Cleveland, USA.
Amy ThompsonCenter for Value-Based Care Research, Cleveland Clinic Foundation, Cleveland, USA.
Julie RishDepartment of Clinical Transformation, Cleveland Clinic Foundation, Cleveland, USA.
Grand Rapids Community College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression and anxiety are associated with substantial morbidity, including physical deterioration. Connecting individuals to timely care improves outcomes. Unfortunately, significant gaps remain between the demand for behavioral healthcare and the supply of care. Further, estimates of demand are based on retrospective and/or non-localized measures, which impedes planning. This poses an opportunity to rethink how to close this gap. Health systems are better positioned than ever to do so, given novel technologies, data, and community integration. By developing more localized, real-time models of depression and anxiety demand and healthcare supply, health systems can better prioritize resource deployment and partnerships to proactively meet patient needs.

Indexed as

access to healthcare and health outcomes of vulnerable populationsgeneralised anxiety disorderimportance of treating depressionpredictive modelingpsychiatry and mental health

Identifiers

PMID37602116
PMCPMC10435285
OpenAlexW4384661924

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.