Evidence map›Paper›PMID 40012851›Full record

ArticleProfessional psychology, research and practice2024

Simulating the Impact of Psychologist Prescribing Authority Policies on Mental Health Prescriber Shortages.

Phillip M Hughes, Robert E McGrath, Kathleen C Thomas

Abstract read
In one paragraph

Article in Professional psychology, research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Phillip M HughesDivision of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy.ORCID 0000-0002-5472-1677
Robert E McGrathSchool of Psychology and Counseling, Fairleigh Dickinson University, Teaneck, NJ.
Kathleen C ThomasDivision of Pharmaceutical Outcomes and Policy, University of North Carolina Eshelman School of Pharmacy.

Funding

AHRQ HHS T32 HS000032
6 · The paper itself

Abstract

Objective: To simulate the impact of granting prescriptive authority to licensed psychologists on shortages of mental health providers with prescriptive authority. Methods: We used national and state-level secondary data to construct a policy simulation. Mental health prescribing need and the number of mental health prescribers were estimated at the national and state levels, and the provider shortage was calculated as the difference between these two values. The simulated policy intervention added 10% of psychologists to the prescriber group to estimate the associated reduction in prescriber shortages. Probabilistic uncertainty and sensitivity analyses were conducted using 10,000 Markov trials in which all model parameters varied randomly based on their associated uncertainty. The simulated policy value was allowed to vary between 5% and 15%. Results: The prescriber shortage was predicted to fall by 4.34% (95% confidence interval = [0.75%, 16.58%]) nationally, though this varied widely by state, ranging from 1.10% [0.20%, 3.82%] in North Dakota to 26.44% [2.89%, 570.29%] in Washington, D.C. Uncertainty and sensitivity analyses demonstrated that variability in the provider shortage reduction was primarily driven by the percentage of psychologists becoming licensed to prescribe. Conclusions: Our results suggest that granting prescriptive authority to licensed psychologists would reduce the shortage of mental health professionals with prescriptive authority. Further work is needed to examine the potential implications for other mental health providers.

Indexed as

Health PolicyPrescriptive AuthorityPsychotropic MedicationsWorkforce

Identifiers

PMID40012851
PMCPMC11855338

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Registered trials

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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.