Evidence map›Paper›PMID 31232207›Full record

ArticleJournal of managed care & specialty pharmacy2019

Health Care Resource Utilization and Costs for Patients with Tardive Dyskinesia.

Benjamin Carroll, Debra E Irwin

Open access · bronzeAbstract read
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Clinical practice guidelines for the treatment of tardive dyskinesia in Europe: A descriptive review.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. An Experimental Study to Assess the Professional and Social Consequences of Tardive Dyskinesia.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Article
  11. Tardive Dyskinesia in Older Persons Taking Antipsychotics.Neuropsychiatric disease and treatment · 2021
    Review
  12. 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

2 authors at 2 institutions in 1 country.

Benjamin Carroll1 Teva Pharmaceuticals, Frazer, Pennsylvania.
Debra E Irwin2 Truven Health Analytics, an IBM Watson Health Company, Durham, North Carolina.
Teva Pharmaceuticals (United States) · USTruven Health Analytics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTardive dyskinesia (TD) is an often-irreversible movement disorder affecting any part of the body. Patients experience debilitating symptoms that lower quality of life and increase mortality. Prolonged exposure to dopamine antagonists, which are frequently prescribed for psychiatric disorders as neuroleptic (antipsychotic) drugs, is a common cause of TD. The estimated prevalence of TD is 20%-50% among patients on antipsychotics, and the reported incidence of TD ranges from < 1% to 42%, depending on the antipsychotics studied. However, there are few real-world studies examining health care utilization and the economic burden of TD.

objectiveTo assess health care utilization and costs in a sample of patients with TD from the commercially insured and Medicare supplemental U.S. POPULATIONS:

methodsA retrospective analysis was conducted using Truven MarketScan Commercial and Medicare administrative claims data. Patients were included in the TD group if they had the first TD diagnosis (index date) between January 1, 2008, and September 30, 2014, with ≥ 1 inpatient or ≥ 2 outpatient nondiagnostic claims for TD (ICD-9-CM code 333.85). Patients without TD were randomly assigned an index date. Further inclusion criteria for all patients were ≥ 12 months of pre- and post-index medical and pharmacy continuous enrollment and no evidence of TD claims during the pre-index period. Patients with TD were directly matched to patients without TD within subgroups for schizophrenia, major depressive disorder, bipolar disorder, and other psychiatric disorders and propensity matched on other demographic and clinical factors. Descriptive statistics on the incidence of resource utilization and costs of health care were reported.

resultsOf 3,397 patients with TD, 834 met the selection criteria and were matched to 834 non-TD controls. Patients with TD generally had significantly greater utilization during the 12 months after TD diagnosis than in the 12 months before TD diagnosis. Their rates for health care utilization and costs were also substantially higher than for those without TD. During the post-TD-diagnosis time, inpatient admissions (55.5% vs. 26.1%;

conclusionsPatients diagnosed with TD demonstrate significantly higher health care utilization and costs compared with non-TD patients. DISCLOSURES: This study was funded by Teva Pharmaceuticals (Petach Tikva, Israel). Truven Health Analytics, an IBM Watson Health Company, received payment from Teva Pharmaceuticals for the analysis in this study. Carroll is employed by Teva Pharmaceuticals and Irwin is employed by Truven Health Analytics, an IBM Watson Health Company.

Indexed as

AgedAged, 80 and overAntipsychotic AgentsCost of IllnessDelivery of Health CareFemaleHealth Care CostsHumansInsurance, HealthMaleMedicareMiddle AgedPatient Acceptance of Health CareQuality of LifeRetrospective StudiesTardive DyskinesiaAntipsychotic Agents

Identifiers

PMID31232207
PMCPMC10398273
OpenAlexW2952436306

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.