Evidence map›Paper›PMID 27084793›Full record

ArticleThe journal of mental health policy and economics2016

Patient, Physician and Organizational Influences on Variation in Antipsychotic Prescribing Behavior.

Yan Tang, Chung-Chou H Chang, Judith R Lave, Walid F Gellad, Haiden A Huskamp, Julie M Donohue

Abstract read
In one paragraph

Article in The journal of mental health policy and economics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Visualizing nationwide variation in medicare Part D prescribing patterns.BMC medical informatics and decision making · 2018
    Article
  10. 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.

Yan TangCenter for Pharmaceutical Policy and Prescribing (CP3), Health Policy Institute, University of Pittsburgh; Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, PA, USA, 130 DeSoto Street, Crabtree Hall A645, Pittsburgh, PA 15261, USA, yan.tang@pitt.edu.
Chung-Chou H Chang
Judith R Lave
Walid F Gellad
Haiden A Huskamp
Julie M Donohue

Funding

Influences on Psychiatrist Prescribing of AntipsychoticsR01MH093359 · NIMH · HARVARD MEDICAL SCHOOL · PI DONOHUE, JULIE MARIE, HUSKAMP, HAIDEN A. · 2012 to 2014
$1.6M
NIMH NIH HHS R01 MH093359NIMH NIH HHS R01MH093359
6 · The paper itself

Abstract

backgroundPhysicians face the choice of multiple ingredients when prescribing drugs in many therapeutic categories. For conditions with considerable patient heterogeneity in treatment response, customizing treatment to individual patient needs and preferences may improve outcomes. AIMS OF THE STUDY: To assess variation in the diversity of antipsychotic prescribing for mental health conditions, a necessary although not sufficient condition for personalizing treatment. To identify patient caseload, physician, and organizational factors associated with the diversity of antipsychotic prescribing.

methodsUsing 2011 data from Pennsylvania's Medicaid program, IMS Health's HCOSTM database, and the AMA Masterfile, we identified 764 psychiatrists who prescribed antipsychotics to 10 patients. We constructed three physician-level measures of diversity/concentration of antipsychotic prescribing: number of ingredients prescribed, share of prescriptions for most preferred ingredient, and Herfindahl-Hirschman index (HHI). We used multiple membership linear mixed models to examine patient caseload, physician, and healthcare organizational predictors of physician concentration of antipsychotic prescribing.

resultsThere was substantial variability in antipsychotic prescribing concentration among psychiatrists, with number of ingredients ranging from 2-17, share for most preferred ingredient from 16%-85%, and HHI from 1,088-7,270. On average, psychiatrist prescribing behavior was relatively diversified; however, 11% of psychiatrists wrote an average of 55% of their prescriptions for their most preferred ingredient. Female prescribers and those with smaller shares of disabled or serious mental illness patients had more concentrated prescribing behavior on average. DISCUSSION: Antipsychotic prescribing by individual psychiatrists in a large state Medicaid program varied substantially across psychiatrists. Our findings illustrate the importance of understanding physicians' prescribing behavior and indicate that even among specialties regularly prescribing a therapeutic category, some physicians rely heavily on a small number of agents. IMPLICATIONS FOR HEALTH POLICIES, HEALTH CARE PROVISION AND USE: Health systems may need to offer educational interventions to clinicians in order to improve their ability to tailor treatment decisions to the needs of individual patients. IMPLICATIONS FOR FUTURE RESEARCH: Future studies should examine the impact of the diversity of antipsychotic prescribing to determine whether more diversified prescribing improves patient adherence and outcomes.

Indexed as

AdultAntipsychotic AgentsDrug PrescriptionsFemaleHumansMaleMedicaidMiddle AgedPennsylvaniaPractice Patterns, Physicians'PsychiatryUnited StatesAntipsychotic Agents

Identifiers

PMID27084793
PMCPMC4834853

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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.