Literature DB >> 26818535

Antipsychotic Use and Metabolic Monitoring in Individuals with Developmental Disabilities Served in a Medicaid Medical Home.

Lisa M Ruiz1, Mackenzie Damron2, Kyle B Jones3, Dean Weedon4, Paul S Carbone5, Amanda V Bakian4, Deborah A Bilder4.   

Abstract

This study describes antipsychotic use and metabolic monitoring rates among individuals with developmental disabilities enrolled in a subspecialty medical home (N = 826). Four hundred ninety-nine participants (60.4 %) were taking antipsychotics, which was associated with male gender (p = 0.01), intellectual disability with and without autism spectrum disorder (p = 0.001 and p = 0.04, respectively), and inversely associated with the youngest and oldest age categories (p = 0.001 and p = 0.04, respectively). Among those taking antipsychotics, annual metabolic monitoring rates ranged from 89 % (lipids) to 99 % (weight). Age was positively associated with glucose (p < 0.001) and lipid monitoring (p < 0.001). Adult participants with dyslipidemia (p < 0.01), prediabetes/diabetes (p = 0.04), and hypertension (p = 0.02) were significantly more likely to obtain lipid monitoring. These values exceeded previously reported rates suggesting the importance of an integrated care model.

Entities:  

Keywords:  Antipsychotics; Autism spectrum disorder; Intellectual disability; Medical home

Mesh:

Substances:

Year:  2016        PMID: 26818535     DOI: 10.1007/s10803-016-2712-x

Source DB:  PubMed          Journal:  J Autism Dev Disord        ISSN: 0162-3257


  26 in total

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2.  Family history of type 2 diabetes in schizophrenic patients.

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3.  Prevalence of psychotropic drug use in adults with intellectual disability: positive and negative findings from a large scale study.

Authors:  John A Tsiouris; Soh-Yule Kim; W Ted Brown; Jill Pettinger; Ira L Cohen
Journal:  J Autism Dev Disord       Date:  2013-03

4.  Estimating the consequences of anti-psychotic induced weight gain on health and mortality rate.

Authors:  K R Fontaine; M Heo; E P Harrigan; C L Shear; M Lakshminarayanan; D E Casey; D B Allison
Journal:  Psychiatry Res       Date:  2001-04-15       Impact factor: 3.222

5.  The prevalence of metabolic syndrome and Framingham cardiovascular risk scores in adult inpatients taking antipsychotics - a retrospective medical records review.

Authors:  Adam Wysokiński; Maciej Kowman; Iwona Kłoszewska
Journal:  Psychiatr Danub       Date:  2012-09       Impact factor: 1.063

6.  Medication patterns in patients with autism: temporal, regional, and demographic influences.

Authors:  Michael G Aman; Kristen S L Lam; Mary E Van Bourgondien
Journal:  J Child Adolesc Psychopharmacol       Date:  2005-02       Impact factor: 2.576

7.  Predictors of metabolic monitoring among schizophrenia patients with a new episode of second-generation antipsychotic use in the Veterans Health Administration.

Authors:  Lizheng Shi; Haya Ascher-Svanum; Yi-Ju Chiang; Yingnan Zhao; Vivian Fonseca; Daniel Winstead
Journal:  BMC Psychiatry       Date:  2009-12-18       Impact factor: 3.630

8.  Relation of triglyceride levels, fasting and nonfasting, to fatal and nonfatal coronary heart disease.

Authors:  Lynn E Eberly; Jeremiah Stamler; James D Neaton
Journal:  Arch Intern Med       Date:  2003-05-12

9.  Body mass index in adults with intellectual disability: distribution, associations and service implications: a population-based prevalence study.

Authors:  S Bhaumik; J M Watson; C F Thorp; F Tyrer; C W McGrother
Journal:  J Intellect Disabil Res       Date:  2008-04

10.  Impaired fasting glucose tolerance in first-episode, drug-naive patients with schizophrenia.

Authors:  Martina C M Ryan; Patrick Collins; Jogin H Thakore
Journal:  Am J Psychiatry       Date:  2003-02       Impact factor: 18.112

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  1 in total

1.  Mid-life social outcomes for a population-based sample of adults with ASD.

Authors:  Megan Farley; Kristina J Cottle; Deborah Bilder; Joseph Viskochil; Hilary Coon; William McMahon
Journal:  Autism Res       Date:  2017-12-20       Impact factor: 5.216

  1 in total

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