Literature DB >> 27798814

A Latent Class Analysis to Identify Variation in Caregivers' Preferences for their Child's Attention-Deficit/Hyperactivity Disorder Treatment: Do Stated Preferences Match Current Treatment?

Xinyi Ng1, John F P Bridges2, Melissa M Ross1, Emily Frosch3, Gloria Reeves4, Charles E Cunningham5, Susan dosReis6.   

Abstract

OBJECTIVES: To investigate variation in caregiver preferences for their child's attention-deficit/hyperactivity disorder (ADHD) care and to determine if their stated preferences align with current care management.
METHODS: Caregivers of a child aged 4-14 years and in care for ADHD were recruited from pediatric outpatient clinics and advocacy groups across the state of Maryland. Participants completed a survey collecting demographics, the child's treatment, and caregiver preferences-elicited using a best-worst scaling experiment (case 2). Latent class analysis was used to identify distinct preference segments and bivariate analyses were used to compare the association between segment membership with what the child was currently receiving for their ADHD.
RESULTS: Participants (n = 184) were predominantly White (68%) and the child's mother (84%). Most children had ADHD for 2 or more years (79%). Caregiver preferences were distinguished by two segments: continuous medication (36%) and minimal medication (64%). The two groups had very different preferences for when medication was administered (p < 0.001), but they had similar preferences for provider-oriented and non-medication interventions (p > 0.05 for the caregiver behavior training, provider communication, provider specialty, and out-of-pocket costs). One third of the sample did not receive the preferred individualized education program and 42% of the minimal medication group reported using medication 7 days a week all year round.
CONCLUSIONS: Although behavior management training and school accommodations aspects of an ADHD care plan are more important to caregivers than evidence-based medication, fewer families had access to educational accommodations. Further research is needed to clarify how stated preferences for care align with treatments used in actual practice settings.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 27798814      PMCID: PMC6029258          DOI: 10.1007/s40271-016-0202-z

Source DB:  PubMed          Journal:  Patient        ISSN: 1178-1653            Impact factor:   3.883


  55 in total

1.  ADHD: clinical practice guideline for the diagnosis, evaluation, and treatment of attention-deficit/hyperactivity disorder in children and adolescents.

Authors:  Mark Wolraich; Lawrence Brown; Ronald T Brown; George DuPaul; Marian Earls; Heidi M Feldman; Theodore G Ganiats; Beth Kaplanek; Bruce Meyer; James Perrin; Karen Pierce; Michael Reiff; Martin T Stein; Susanna Visser
Journal:  Pediatrics       Date:  2011-10-16       Impact factor: 7.124

2.  Unmet needs associated with attention-deficit/hyperactivity disorder in eight European countries as reported by caregivers and adolescents: results from qualitative research.

Authors:  Vanja Sikirica; Emuella Flood; C Noelle Dietrich; Javier Quintero; Val Harpin; Paul Hodgkins; Klaus Skrodzki; Kathleen Beusterien; M Haim Erder
Journal:  Patient       Date:  2015-06       Impact factor: 3.883

3.  Patient- and family-centered care and the pediatrician's role.

Authors: 
Journal:  Pediatrics       Date:  2012-01-30       Impact factor: 7.124

4.  Knowledge and information about ADHD: evidence of cultural differences among African-American and white parents.

Authors:  R Bussing; N E Schoenberg; A R Perwien
Journal:  Soc Sci Med       Date:  1998-04       Impact factor: 4.634

5.  A discrete choice conjoint experiment to evaluate parent preferences for treatment of young, medication naive children with ADHD.

Authors:  Daniel A Waschbusch; Charles E Cunningham; William E Pelham; Heather L Rimas; Andrew R Greiner; Elizabeth M Gnagy; James Waxmonsky; Gregory A Fabiano; Jessica A Robb; Lisa Burrows-Maclean; Mindy Scime; Martin T Hoffman
Journal:  J Clin Child Adolesc Psychol       Date:  2011

6.  National trends in the use of psychotropic medications by children.

Authors:  Mark Olfson; Steven C Marcus; Myrna M Weissman; Peter S Jensen
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2002-05       Impact factor: 8.829

7.  Putting families in the center: family perspectives on decision making and ADHD and implications for ADHD care.

Authors:  Catherine C Davis; Milena Claudius; Lawrence A Palinkas; John B Wong; Laurel K Leslie
Journal:  J Atten Disord       Date:  2011-10-05       Impact factor: 3.256

Review 8.  School-based interventions for adolescents with attention-deficit/hyperactivity disorder.

Authors:  George J DuPaul; Steven W Evans
Journal:  Adolesc Med State Art Rev       Date:  2008-08

9.  Coming to terms with ADHD: how urban African-American families come to seek care for their children.

Authors:  Susan dosReis; Matthew P Mychailyszyn; MaryAnne Myers; Anne W Riley
Journal:  Psychiatr Serv       Date:  2007-05       Impact factor: 3.084

10.  Best--worst scaling: What it can do for health care research and how to do it.

Authors:  Terry N Flynn; Jordan J Louviere; Tim J Peters; Joanna Coast
Journal:  J Health Econ       Date:  2006-05-16       Impact factor: 3.883

View more
  9 in total

1.  Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.

Authors:  Mo Zhou; Winter Maxwell Thayer; John F P Bridges
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

2.  Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

Authors:  Anne S Morrow; Alexandro D Campos Vega; Xin Zhao; Michelle M Liriano
Journal:  Adm Policy Ment Health       Date:  2020-09

Review 3.  A Review of Predictors of Psychosocial Service Utilization in Youth with Attention-Deficit/Hyperactivity Disorder.

Authors:  Cathrin D Green; Joshua M Langberg
Journal:  Clin Child Fam Psychol Rev       Date:  2021-09-08

4.  Parents matter: Parent acceptance of school-based executive functions interventions relates to improved child outcomes.

Authors:  Leah B Rothschild; Allison B Ratto; Lauren Kenworthy; Kristina K Hardy; Alyssa Verbalis; Cara Pugliese; John F Strang; Jonathan Safer-Lichtenstein; Bruno J Anthony; Laura G Anthony; Madison M Guter; David A F Haaga
Journal:  J Clin Psychol       Date:  2022-01-08

5.  A comparative study on the neurophysiological mechanisms underlying effects of methylphenidate and neurofeedback on inhibitory control in attention deficit hyperactivity disorder.

Authors:  Annet Bluschke; Julia Friedrich; Marie Luise Schreiter; Veit Roessner; Christian Beste
Journal:  Neuroimage Clin       Date:  2018-10-25       Impact factor: 4.881

6.  Medium-Range Narratives as a Complementary Tool to Principle-Based Prioritization in Sweden: Test Case "ADHD".

Authors:  Pier Jaarsma; Petra Gelhaus
Journal:  J Bioeth Inq       Date:  2018-12-05       Impact factor: 1.352

7.  Preferences for Treatments for Major Depressive Disorder: Formative Qualitative Research Using the Patient Experience.

Authors:  Susan dosReis; Laura M Bozzi; Beverly Butler; Richard Z Xie; Richard H Chapman; Jennifer Bright; Erica Malik; Julia F Slejko
Journal:  Patient       Date:  2022-09-19       Impact factor: 3.481

8.  Adult Patient Preferences for Long-Acting ADHD Treatments: A Discrete Choice Experiment.

Authors:  M Janelle Cambron-Mellott; Jaromir Mikl; Joana E Matos; Jennifer G Erensen; Kathleen Beusterien; Marc J Cataldo; Bernadette Hallissey; Gregory W Mattingly
Journal:  Patient Prefer Adherence       Date:  2021-05-21       Impact factor: 2.711

9.  Stakeholder-Engaged Derivation of Patient-Informed Value Elements.

Authors:  Susan dosReis; Beverly Butler; Juan Caicedo; Annie Kennedy; Yoon Duk Hong; Chengchen Zhang; Julia F Slejko
Journal:  Patient       Date:  2020-10       Impact factor: 3.883

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.