Characteristics of nonparticipants differed based on reason for nonparticipation: a study involving the chronically ill

Journal of Clinical Epidemiology

Volumn 61, Issue 7, 2008, Pages 728-732

  Holden, Libby ^a   Ware, Robert S ^b   Passey, Megan ^c  

^a GRIFFITH UNIVERSITY   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Chronic illness; Cross sectional; Epidemiological methods; Nonparticipation; Predictors; Response bias

Indexed keywords

ADULT; AGED; ARTICLE; CHRONIC PATIENT; CONTROLLED STUDY; DEATH; FEMALE; HEALTH CARE; HEALTH PROGRAM; HEART FAILURE; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; NEOPLASM; OUTCOME ASSESSMENT; PATIENT ATTITUDE; PATIENT PARTICIPATION; PRIORITY JOURNAL; REFUSAL TO PARTICIPATE;

AGE FACTORS; AGED; BIAS (EPIDEMIOLOGY); CHRONIC DISEASE; FEMALE; HUMANS; MALE; MIDDLE AGED; NEW SOUTH WALES; REFUSAL TO PARTICIPATE; RESEARCH DESIGN; RISK; SEX FACTORS;

EID: 44649187456     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2007.11.002     Document Type: Article

References (25)

1. Chatfield M., Brayne C., and Mathews F. A systematic literature review of attrition between waves in longitudinal studies in elderly show a consistent pattern in drop-out between differing studies. J Clin Epidemiol 58 1 (2005) 13-19
2. Deeg D. Attrition in longitudinal population studies: does it affect the generalisability of findings? An introduction to the series. J Clin Epidemiol 55 (2002) 213-215
3. Melton L., Dyck P., Karnes J., O'Brien P., and Service F. Non-response bias in studies of diabetic complications: the Rochester Diabetic Neuropathy Study. J Clin Epidemiol 46 4 (1993) 341-348
4. Kempen G., and van Sonderen E. Psychological attributes and changes in disability among low-functioning older persons: does attrition affect outcomes?. J Clin Epidemiol 55 3 (2002) 224-229
5. Deeg D., van Tillburg W., Smit J., and de Leeuw E. Attrition in the longitudinal Ageing Study Amsterdam: the effect of differential inclusion in side studies. J Clin Epidemiol 55 (2000) 319-328
6. Ross L., Thompson B., Boesen E., and Johansen C. In a randomized control trial, missing data led to biased results regarding anxiety. J Clin Epidemiol 57 (2004) 1131-1137
7. Neumark D., Stommel M., Given C., and Given B. Research design and subject characteristics predicting non-participation in a panel survey of older families with cancer. Nurs Res 50 6 (2001) 363-368
8. Mathews F., Chatfield M., Freeman C., CMcCracken C., and Brayne C. Attrition bias in the MRC cognitive function and aging study: an epidemiological investigation. BMC Public Health 4 12 (2004)
9. Ware R., Williams G., and Aird R. Participants who left a multiple-wave cohort study had similar baseline characteristics to participants who returned. Ann Epidemiol 16 (2006) 820-823
10. Garcia M., Fernandez E., Schiaffino A., Borrell C., Marti M., and Borras J. Attrition in a population-based cohort eight years after baseline interview: the Cornella Health Survey Follow-up (CHIS.FU) Study. Ann Epidemiol 15 (2005) 98-104
11. Van Beijsterveldt C., van Boxtel M., Bosma H., Houx P., Buntinx F., and Jolles J. Predictors of attrition in a longitudinal cognitive aging study. J Clin Epidemiol 55 3 (2002) 216-223
12. Zunzunegui M., Beland F., and Guitierrez-Cuadra P. Loss to follow-up in a longitudinal study on ageing in Spain. J Clin Epidemiol 54 (1999) 201-510
13. Eagan T., Eide G., Cgulsvik A., and Bakke P. Non-response in a community cohort study. J Clin Epidemiol 55 8 (2002) 775-781
14. Criqui M., Barrett-Connor E., and Austin M. Differences between respondents and non-respondents in a population-based cardiovascular disease study. Am J Epidemiol 108 5 (1978) 367-372
15. Adams M., Branch L., Henbert L., Cook N., Lane A., Brock D., et al. A comparison of elderly participants in a community survey with non-participants. Public Health Rep 105 (1990) 617-622
16. Launer L., Wind A., and Deeg D. Nonresponse pattern and bias in a community-based cross-sectional study of cognitive functioning among the elderly. Am J Epidemiol 139 (1994) 803-812
17. Norton M., Breitner J., Welsh K., and Wyse B. Characteristics of non-responders in a community survey of elderly people. J Am Geriatr Soc 42 (1994) 1252-1256
18. Australian Institute of Health and Welfare (AIHW). Australia's health 2006. In: AIHW (Ed). AIHW (2006)
19. Wood A., White I., Hillsdon M., and Carpenter J. Comparison of imputation and modelling methods in the analysis of a physical activity trial with missing outcomes. Int Epidemiol Assoc 34 1 (2005) 89-99
20. Helliwell B., Aylesworth R., McDowell I., Baumgarten M., and Sykes E. Correlates of non-participation in the Canadian study of health and aging. Int Psychogeriatr 13 1 (2001) 49-56
21. Slymen D., Drew J., Wright B., Elder J., and wiliams S. Compliance with a 12-month assessment in an elderly cohort participating in a preventative intervention study: the San Diego Medicare Preventative Health Project. Int J Epidemiol 21 (1992) 701-706
22. Sugisawa H., Kishino H., Sugihara Y., and Shibata H. Characteristics of dropouts and participants in a twelve-year longitudinal research of Japanese elderly. Jap J Public Health 47 4 (2000) 337-349
23. Benefante R., Reed D., MacLean C., and Kagan A. Response bias in the Honolulu Heart Program. Am J Epidemiol 130 (1989) 1088-1100
24. Herbert R., Bravo G., Korner-Bitensky N., and Voyer L. Refusal and information bias associated with postal questionnaires and face-to-face interviews in very elderly subjects. J Clin Epidemiol 49 (1996) 373-381
25. Sugisawa H., Kishino H., Sugihara Y., Okabayashi H., and Shibata H. Comparison of characteristics between respondents and non-respondents in the national survey of Japanese elderly using six year follow-up study. Jap J Public Health 46 7 (1999) 551-562