Literature DB >> 1521973

Compliance with a 12-month assessment in an elderly cohort participating in a preventive intervention study: the San Diego Medicare Preventive Health Project.

D J Slymen1, J A Drew, B L Wright, J P Elder, S J Williams.   

Abstract

Non-compliance in long-term cohort studies contributes to bias in the estimation of study parameters and loss of power in hypothesis testing. This paper identifies baseline factors associated with non-compliance in a 12-month health assessment among elderly participants in the San Diego Medicare Preventive Health Project, a randomized preventive intervention study. A non-complier was defined as a study subject contacted by telephone by study personnel to schedule an appointment for the 12-month health assessment but who would not or could not attend. Of the almost 1600 contacted subjects, 14.1% did not participate in the evaluation. Using logistic regression, non-compliance was found to be associated with older age, intervention group assignment, nonsingle family residence, no alcohol use, and, to a lesser extent, depression. No interactions between group assignment and other baseline factors were detected. These results may be useful in designing cohort maintenance strategies where greater resources may be devoted to participants at higher risk of non-compliance and attrition.

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Mesh:

Year:  1992        PMID: 1521973     DOI: 10.1093/ije/21.4.701

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  6 in total

1.  Preventive services in a Medicare managed care environment.

Authors:  S J Williams; J P Elder; R L Seidman; J A Mayer
Journal:  J Community Health       Date:  1997-12

2.  Evaluation of a health promotion demonstration program for the rural elderly.

Authors:  J R Lave; D G Ives; N D Traven; L H Kuller
Journal:  Health Serv Res       Date:  1996-08       Impact factor: 3.402

3.  Social Disadvantage, Healthcare Utilization, and Colorectal Cancer Screening: Leveraging Longitudinal Patient Address and Health Records Data.

Authors:  Amy E Hughes; Jasmin A Tiro; Bijal A Balasubramanian; Celette Sugg Skinner; Sandi L Pruitt
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-08-22       Impact factor: 4.254

4.  Prospective care of elderly patients in family practice. Is screening effective?

Authors:  W I Hay; C van Ineveld; G Browne; J Roberts; B Bell; M Mills; L Chambers; A Gafni; S Macpherson
Journal:  Can Fam Physician       Date:  1998-12       Impact factor: 3.275

5.  Recruitment and retention of subjects for a longitudinal cancer prevention study in an inner-city black community.

Authors:  D S Blumenthal; J Sung; R Coates; J Williams; J Liff
Journal:  Health Serv Res       Date:  1995-04       Impact factor: 3.402

6.  Non-response bias and hazardous alcohol use in relation to previous alcohol-related hospitalization: comparing survey responses with population data.

Authors:  Kozma Ahacic; Ingemar Kåreholt; Asgeir R Helgason; Peter Allebeck
Journal:  Subst Abuse Treat Prev Policy       Date:  2013-03-04
  6 in total

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