Evidence map›Paper›PMID 35770424›Full record

ArticlePsychiatric services (Washington, D.C.)2023

Characteristics of Specialty Mental Health Provider Networks in Oregon Medicaid.

Jane M Zhu, Christina J Charlesworth, Daniel Polsky, Anna Levy, Steven K Dobscha, K John McConnell

Abstract read
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Rural and frontier access to mental health prescribers and nonprescribers: A geospatial analysis in Oregon Medicaid.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2024
    Article
  4. 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.

Jane M ZhuDivision of General Internal Medicine (Zhu), Center for Health Systems Effectiveness (Charlesworth, Levy, McConnell), and Department of Psychiatry (Dobscha), Oregon Health & Science University, Portland; Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Polsky); U.S. Department of Veterans Affairs Health Care System, Portland, Oregon (Dobscha).
Christina J CharlesworthDivision of General Internal Medicine (Zhu), Center for Health Systems Effectiveness (Charlesworth, Levy, McConnell), and Department of Psychiatry (Dobscha), Oregon Health & Science University, Portland; Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Polsky); U.S. Department of Veterans Affairs Health Care System, Portland, Oregon (Dobscha).
Daniel PolskyDivision of General Internal Medicine (Zhu), Center for Health Systems Effectiveness (Charlesworth, Levy, McConnell), and Department of Psychiatry (Dobscha), Oregon Health & Science University, Portland; Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Polsky); U.S. Department of Veterans Affairs Health Care System, Portland, Oregon (Dobscha).
Anna LevyDivision of General Internal Medicine (Zhu), Center for Health Systems Effectiveness (Charlesworth, Levy, McConnell), and Department of Psychiatry (Dobscha), Oregon Health & Science University, Portland; Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Polsky); U.S. Department of Veterans Affairs Health Care System, Portland, Oregon (Dobscha).
Steven K DobschaDivision of General Internal Medicine (Zhu), Center for Health Systems Effectiveness (Charlesworth, Levy, McConnell), and Department of Psychiatry (Dobscha), Oregon Health & Science University, Portland; Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Polsky); U.S. Department of Veterans Affairs Health Care System, Portland, Oregon (Dobscha).
K John McConnellDivision of General Internal Medicine (Zhu), Center for Health Systems Effectiveness (Charlesworth, Levy, McConnell), and Department of Psychiatry (Dobscha), Oregon Health & Science University, Portland; Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore (Polsky); U.S. Department of Veterans Affairs Health Care System, Portland, Oregon (Dobscha).

Funding

Mental Health Provider Networks in Medicaid and Implications for Care Utilization and Health OutcomesK08MH123624 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI ZHU, JANE MINGJIA · 2020 to 2023
$756k
NIMH NIH HHS K08 MH123624
6 · The paper itself

Abstract

objectiveProvider networks for mental health are narrower than for other medical specialties. Providers' influence on access to care is potentially greater in Medicaid because enrollees are generally limited to contracted providers, without out-of-network options for nonemergency mental health care. The authors used claims-based metrics to examine variation in specialty mental health provider networks.

methodsIn a cross-sectional analysis of 2018 Oregon Medicaid claims data, claims from adults ages 18-64 years (N=100,515) with a psychiatric diagnosis were identified. In-network providers were identified as those associated with any medical claims filed for at least five unique Medicaid beneficiaries enrolled in a health plan (coordinated care organization [CCO]) during the study period. Specialty mental health providers were categorized as prescribers (psychiatrists and mental health nurse practitioners) and nonprescribers (therapists, counselors, clinical nurse specialists, psychologists, and social workers). Measures of network composition, provider-to-population ratio, continuity, and concentration of care were calculated at the CCO level; the correlation between these measures was estimated to describe the degree to which they capture unique dimensions of provider networks.

resultsAcross 15 CCOs, the number of prescribing providers per 1,000 patients was relatively stable. CCOs that expanded their networks did so by increasing the number of nonprescribing providers. Moderately negative correlations were found between the nonprescriber provider-to-population ratio and proportions of visits with prescribers as well as with usual provider continuity.

conclusionsThis analysis advances future research and policy applications by offering a more nuanced view of provider network measurement and describing empirical variation across networks.

Indexed as

MedicaidPsychiatryAdolescentAdultCross-Sectional StudiesHumansMental HealthMiddle AgedOregonUnited StatesYoung AdultHealth insuranceHealth maintenance organizationsManaged careMedicaidMental healthService delivery systems

Identifiers

PMID35770424
PMCPMC9800638

What OpenQuestion holds

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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.