Literature DB >> 3975666

Using the health belief model to predict initial drug therapy defaulting.

J E Fincham, A I Wertheimer.   

Abstract

In a study of HMO patients, a Health Belief Model (HBM) questionnaire was tested to determine whether initially drug defaulting patients could be differentiated from initially compliant patients. The results of discriminant analysis indicated that individuals in the two groups could be correctly classified at a level of 68.7%. The variables on which the initially defaulting sample collectively scored less on, and which produced the most discrimination between the two groups, were: feedback from physicians on how to take a newly prescribed drug: belief in benefits of medical care for symptoms or illnesses; convenience factors including travel, need for day care and time off from work without pay needed for medical services; length of HMO membership; and education. A total of 20% of the variance in the derived discriminant function could be accounted for by the two groups. The results indicate the utility of the HBM as a tool of prediction for this form of noncompliance, and suggest possible other patient behaviors that may be able to be predicted by the model. The results further suggest the need for increased communication between providers and patients in the health care setting.

Entities:  

Mesh:

Year:  1985        PMID: 3975666     DOI: 10.1016/0277-9536(85)90317-x

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  8 in total

Review 1.  Compliance with prescribed drugs: challenges for the elderly population.

Authors:  S Claesson; A Morrison; A I Wertheimer; M L Berger
Journal:  Pharm World Sci       Date:  1999-12

Review 2.  A new taxonomy for describing and defining adherence to medications.

Authors:  Bernard Vrijens; Sabina De Geest; Dyfrig A Hughes; Kardas Przemyslaw; Jenny Demonceau; Todd Ruppar; Fabienne Dobbels; Emily Fargher; Valerie Morrison; Pawel Lewek; Michal Matyjaszczyk; Comfort Mshelia; Wendy Clyne; Jeffrey K Aronson; J Urquhart
Journal:  Br J Clin Pharmacol       Date:  2012-05       Impact factor: 4.335

3.  Individual patients hold different beliefs to prescription medications to which they persist vs nonpersist and persist vs nonfulfill.

Authors:  Colleen A McHorney; Abhijit S Gadkari
Journal:  Patient Prefer Adherence       Date:  2010-07-21       Impact factor: 2.711

4.  Unclaimed prescriptions after automated prescription transmittals to pharmacies.

Authors:  Anders Ekedahl; Niclas Månsson
Journal:  Pharm World Sci       Date:  2004-02

5.  Impact of postal and telephone reminders on pick-up rates of unclaimed e-prescriptions.

Authors:  Anders Ekedahl; Vivianne Oskarsson; Barbro Sundberg; Veronica Gustafsson; Therese Lundberg; Bo Gullberg
Journal:  Pharm World Sci       Date:  2008-02-05

6.  Adherence to treatment: what is done in Sweden? Practice, education and research.

Authors:  Björn Södergård
Journal:  Pharm Pract (Granada)       Date:  2008-12-15

7.  Individual characteristics, area social participation, and primary non-concordance with medication: a multilevel analysis.

Authors:  Kristina Johnell; Martin Lindström; Jan Sundquist; Charli Eriksson; Juan Merlo
Journal:  BMC Public Health       Date:  2006-03-02       Impact factor: 3.295

8.  Effect of number and type of antidiabetes medications on adherence and glycemia of ambulatory type 2 diabetes patients in southwestern Nigeria.

Authors:  Rasaq Adisa; Titilayo O Fakeye
Journal:  Pharm Pract (Granada)       Date:  2013-09-20
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.