Evidence map›Paper›PMID 35352203›Full record

ReviewCommunity mental health journal2022

Toward Population Health: Using a Learning Behavioral Health System and Measurement-Based Care to Improve Access, Care, Outcomes, and Disparities.

Miriam C Tepper, Mary Catherine Ward, Rajendra Aldis, Margaret Lanca, Philip S Wang, Carl E Fulwiler

Abstract readReview
In one paragraph

Review in Community mental health journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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

6 authors.

Miriam C TepperCambridge Health Alliance, 1493 Cambridge St, Cambridge, MA, 02139, USA. Miriam.Tepper@nyspi.columbia.edu.ORCID 0000-0002-6473-9483
Mary Catherine WardCambridge Health Alliance, 1493 Cambridge St, Cambridge, MA, 02139, USA.
Rajendra AldisCambridge Health Alliance, 1493 Cambridge St, Cambridge, MA, 02139, USA.
Margaret LancaCambridge Health Alliance, 1493 Cambridge St, Cambridge, MA, 02139, USA.
Philip S WangCambridge Health Alliance, 1493 Cambridge St, Cambridge, MA, 02139, USA.
Carl E FulwilerCambridge Health Alliance, 1493 Cambridge St, Cambridge, MA, 02139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving population behavioral health is urgently needed. The mental health system struggles with enormous challenges of providing access to mental health services, improving quality and equitability of care, and ensuring good health outcomes across subpopulations. Little data exists about increasing access within highly constrained resources, staging/sequencing treatment along care pathways, or personalizing treatments. The conceptual model of the learning healthcare system offers a potential paradigm shift for addressing these challenges. In this article we present an overview of how the three constructs of population health, learning health systems, and measurement-based care are inter-related, and we provide an example of how one academic, community-based, safety net health system is approaching integrating these paradigms into its service delivery system. Implementation outcomes will be described in a subsequent publication. We close by discussing how ultimately, to meaningfully improve population behavioral health, a learning healthcare system could expand into a learning health community in order to target critical points of prevention and intervention.

Indexed as

Learning Health SystemPopulation HealthHumansMental HealthDisparitiesLearning health systemMeasurement-based carePatient-reported outcomesPopulation health

Identifiers

PMID35352203
PMCPMC8964387

What OpenQuestion holds

Textmetadata
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.