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Predicting adherence in a multifacet...

Girdwood, Candace P.,

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Predicting adherence in a multifaceted medical regimen /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predicting adherence in a multifaceted medical regimen // Candace P Girdwood.
Author:	Girdwood, Candace P.,
Description:	1 electronic resource (100 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 69-12, Section: B.
Contained By:	Dissertations Abstracts International69-12B.
Subject:	Behaviorial sciences. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3288627
ISBN:	9780549328445

Predicting adherence in a multifaceted medical regimen /
Girdwood, Candace P.,

Predicting adherence in a multifaceted medical regimen /Candace P Girdwood. - 1 electronic resource (100 pages)

Source: Dissertations Abstracts International, Volume: 69-12, Section: B.

Patient nonadherence to medical regimens is acknowledged as a significant problem in patient care and there has been a substantial amount of research focusing on behavioral explanations. Previous research has utilized the Health Belief Model (HBM) to understand and predict adherence, however, it has yielded "lower than expected" predictability (pg. 182; Rosenstock, Strecher, & Becker, 1988). The originators of the HBM have suggested but not tested, the importance of self-efficacy theory in increasing the predictive strength of the current model. The purpose of this study was to assess the predictive strength of the HBM with the added self-evaluative component of self-efficacy, in determining self-care behaviors in individuals with a diagnosis of diabetes mellitus. Participants included 118 individuals with a diagnosed with diabetes mellitus. Individuals were given self-report instruments measuring self-efficacy, health beliefs, and adherence, as well as demographic data. Adherence for 62 participants was also measured via blood assay levels of hemoglobin (HbA1c). Instruments include a demographic questionnaire, the Activities Questionnaire, the Diabetes Health Belief Questionnaire (DHBQ), and the Summary of Diabetes Self-Care Activities (SDSCA). Five hierarchical regression analyses were conducted to determine the amount variance predicted by the new HBM. No significance was found increasing predictability with the Self-Effcacy measure. Findings are discussed within the context of measurement errors and power. Recent trends in health behavioral change are reviewed and discussed.

English

ISBN: 9780549328445Subjects--Topical Terms:

3422405
Behaviorial sciences.
Subjects--Index Terms:

Adherence

Predicting adherence in a multifaceted medical regimen /
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245 1 0 $a Predicting adherence in a multifaceted medical regimen / $c Candace P Girdwood.
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500 $a Advisors: Nezu, Arthur M.
502 $b Ph.D. $c Drexel University $d 2007.
520 $a Patient nonadherence to medical regimens is acknowledged as a significant problem in patient care and there has been a substantial amount of research focusing on behavioral explanations. Previous research has utilized the Health Belief Model (HBM) to understand and predict adherence, however, it has yielded "lower than expected" predictability (pg. 182; Rosenstock, Strecher, & Becker, 1988). The originators of the HBM have suggested but not tested, the importance of self-efficacy theory in increasing the predictive strength of the current model. The purpose of this study was to assess the predictive strength of the HBM with the added self-evaluative component of self-efficacy, in determining self-care behaviors in individuals with a diagnosis of diabetes mellitus. Participants included 118 individuals with a diagnosed with diabetes mellitus. Individuals were given self-report instruments measuring self-efficacy, health beliefs, and adherence, as well as demographic data. Adherence for 62 participants was also measured via blood assay levels of hemoglobin (HbA1c). Instruments include a demographic questionnaire, the Activities Questionnaire, the Diabetes Health Belief Questionnaire (DHBQ), and the Summary of Diabetes Self-Care Activities (SDSCA). Five hierarchical regression analyses were conducted to determine the amount variance predicted by the new HBM. No significance was found increasing predictability with the Self-Effcacy measure. Findings are discussed within the context of measurement errors and power. Recent trends in health behavioral change are reviewed and discussed.
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653 $a Adherence
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653 $a Diabetes
653 $a Diabetes (Type 1; Type 2)
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653 $a Medical regimen
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