Home
Resource
Using habit theory and commonsense self‐regulation theory to improve medication adherence assessment
PDF
PDF format is widely accepted and good for printing.
Plug-in required
PDF-1(376.89 kb)
Citation & Export
View Usage Statistics
Staff View

Citation & Export
Hide

Simple citation

Phillips, Leigh Alison. Using habit theory and commonsense self‐regulation theory to improve medication adherence assessment. Retrieved from https://doi.org/doi:10.7282/T31J98TD

Export

Click here for information about Citation Management Tools at Rutgers.

Statistics
Hide

Description

TitleUsing habit theory and commonsense self‐regulation theory to improve medication adherence assessment
NamePhillips, Leigh Alison (author); Leventhal, Howard (chair); Mechanic, David (internal member); Contrada, Richard (internal member); Chapman, Gretchen (internal member); Leventhal, Elaine A (outside member); Rutgers University; Graduate School - New Brunswick
Date Created2011
Other Date2011-10 (degree)
SubjectPsychology, Patient compliance, Drug utilization—Evaluation, Health behavior
Extentvii, 48 p. : ill.
DescriptionPatient non-adherence to medication is a pervasive problem that contributes to poor patient health and high healthcare costs. Better measures of adherence, based on health psychological theory, could improve our understanding of the factors involved in non-adherence and improve the efficacy and effectiveness of interventions to ameliorate non-adherence. The current study was designed to: (1) propose a theoretical framework of long-term behavior development that integrates habit theory and the commonsense self-regulation model (CS-SRM); (2) provide an initial test of hypotheses derived from this framework; and (3) test the validity of a measure designed from the framework to predict patients’ adherence relative to that of the current ‘best-practice’ adherence measures. Seventy-four hypertensive patients participated in a baseline interview in which they were asked to describe their daily medication routines (medication habit strength) and report their level of adherence, among other theoretical constructs. Patients then used an electronic monitoring pill bottle for approximately one month. Compared to existing measures, patients’ medication habit-strength better predicted the percentage of days they took their medication on time and equally predicted the percentage of prescribed doses they took. The results suggest that researchers and providers can better predict patient adherence by asking patients about their habits than by asking directly how adherent they are. Future research will include patients with newly prescribed medications as well as patients with other types of chronic conditions in order to better assess the theoretical framework itself.
NotePh.D.
NoteIncludes bibliographical references
Noteby Leigh Alison Phillips
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/T31J98TD
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
Version 8.5.5
Rutgers University Libraries - Copyright ©2024