Literature DB >> 17133208

Adjusting and censoring electronic monitoring device data. Implications for study outcomes.

Kristopher P Fennie1, Carol A Bova, Ann B Williams.   

Abstract

Electronic monitoring device (EMD) data are widely used to measure adherence in HIV medication adherence research. EMD data represent an objective measure of adherence and arguably provide more valid data than other methods such as self-reported measures, pill counts, and drug level concentration. Moreover, EMD data are longitudinal, include many measurements, and yield a rich data set. This article illustrates potential pitfalls associated with this measurement technique, including lack of clarity associated with EMD data, and the extent to which adherence outcomes are affected by data management decisions. Recommendations are given regarding what information should be included in publications that report results based on EMD data so as to facilitate comparisons between studies.

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Year:  2006        PMID: 17133208     DOI: 10.1097/01.qai.0000248336.97814.2f

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  9 in total

Review 1.  A proposal for quality standards for measuring medication adherence in research.

Authors:  Ann Bartley Williams; K Rivet Amico; Carol Bova; Julie A Womack
Journal:  AIDS Behav       Date:  2013-01

2.  Unannounced telephone-based pill counts: a valid and feasible method for monitoring adherence.

Authors:  R Fredericksen; B J Feldman; T Brown; S Schmidt; P K Crane; R D Harrington; S Dhanireddy; J McReynolds; W B Lober; D R Bangsberg; M M Kitahata; Heidi M Crane
Journal:  AIDS Behav       Date:  2014-12

3.  Using Electronic Monitoring Devices to Assess Medication Adherence: a Research Methods Framework.

Authors:  Meghan E McGrady; Rachelle R Ramsey
Journal:  J Gen Intern Med       Date:  2020-05-21       Impact factor: 5.128

4.  Illness Perceptions, Medication Beliefs, and Adherence to Antiretrovirals and Medications for Comorbidities in Adults With HIV Infection and Hypertension or Chronic Kidney Disease.

Authors:  Jeffrey J Weiss; Ioannis Konstantinidis; Anna Boueilh; Daniel S Fierer; Donald Gardenier; Mark G Barber; Tony Kang; Anna Kress; Katherine Ericson; Marlene C Lira; Marina P Yostos; Hillary R Bogner; Juan P Wisnivesky; Christina M Wyatt
Journal:  J Acquir Immune Defic Syndr       Date:  2016-12-01       Impact factor: 3.731

5.  Medication level variability index predicts rejection, possibly due to nonadherence, in adult liver transplant recipients.

Authors:  Supelana Christina; Rachel A Annunziato; Thomas D Schiano; Ravinder Anand; Swapna Vaidya; Kelley Chuang; Yelena Zack; Sander Florman; Benjamin L Shneider; Eyal Shemesh
Journal:  Liver Transpl       Date:  2014-08-26       Impact factor: 5.799

6.  Adherence to pediatric asthma treatment in economically disadvantaged African-American children and adolescents: an application of growth curve analysis.

Authors:  Jennifer Rohan; Dennis Drotar; Kelly McNally; Mark Schluchter; Kristin Riekert; Pamela Vavrek; Amy Schmidt; Susan Redline; Carolyn Kercsmar
Journal:  J Pediatr Psychol       Date:  2009-08-26

7.  The impact of cognitive function on medication management: three studies.

Authors:  Carol S Stilley; Catherine M Bender; Jacqueline Dunbar-Jacob; Susan Sereika; Christopher M Ryan
Journal:  Health Psychol       Date:  2010-01       Impact factor: 4.267

8.  The adherence-outcome relationship is not altered by diary-driven adjustments of microelectronic monitor data.

Authors:  Jessica Eby; Jennifer Chapman; Tafireyi Marukutira; Gabriel Anabwani; Ontibile Tshume; Omphile Lepodisi; Tebo Dipotso; Keboletse Mokete; Robert Gross; Elizabeth Lowenthal
Journal:  Pharmacoepidemiol Drug Saf       Date:  2015-10-12       Impact factor: 2.890

9.  Examining assumptions regarding valid electronic monitoring of medication therapy: development of a validation framework and its application on a European sample of kidney transplant patients.

Authors:  Kris Denhaerynck; Petra Schäfer-Keller; James Young; Jürg Steiger; Andreas Bock; Sabina De Geest
Journal:  BMC Med Res Methodol       Date:  2008-02-19       Impact factor: 4.615

  9 in total

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