JOURNAL ARTICLE
RESEARCH SUPPORT, U.S. GOV'T, NON-P.H.S.
Add like
Add dislike
Add to saved papers

Cognitive predictors of compliance in chronic disease patients.

Medical Care 1984 October
Variables derived from the health locus of control construct and the Health Belief Model were used to predict compliance with medical regimen in chronically ill patients (adult-onset diabetics, hypertensives, and pulmonary disease patients). Stepwise multiple regression analyses were conducted with predictor variables: age, socioeconomic status, Internal Health Locus of Control (HLC), powerful others HLC, chance HLC, perceived severity of illness, outlook on illness, experienced symptoms, satisfaction with treatment, family support, and support of others. Dependent variables included three measures of compliance with medication regimen and two measures of compliance with self-management regimen. Patient satisfaction was a significant predictor of medication compliance, and lack of symptoms was most strongly associated with self-management compliance. Limitations of cognitive variables in predicting compliance in many chronic disease patients are discussed.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

Managing Alcohol Withdrawal Syndrome.Annals of Emergency Medicine 2024 March 26

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app