1991 ◽  
Vol 8 (3) ◽  
pp. 273-280 ◽  
Author(s):  
B. Golany ◽  
F.Y. Phillips ◽  
J.J. Rousseau
Keyword(s):  

PEDIATRICS ◽  
1980 ◽  
Vol 66 (1) ◽  
pp. 152-152
Author(s):  
Stanley A. Cohen ◽  
Kristy Hendricks ◽  
W. Allan Walker

Dr. Forsyth's letter and insightful comments are appreciated. It provides the impetus and forum to clarify some potentially confusing statements in our recent publication. A statistical attrition bias is possible since only 26 complete dietary records were available for follow-up. The patients were drawn from a total population of 500 outpatients seen in our clinic over a 2½-year period. They were examined by various physicians and dieticians during that time. Although vigorous attempts were made to obtain initial and follow-up data on all of the patients with chronic nonspecific diarrhea, those data were not obtainable from all of the patients.


Obesity ◽  
2020 ◽  
Vol 29 (1) ◽  
pp. 213-219
Author(s):  
Deanna J. M. Isaman ◽  
William H. Herman ◽  
Amy E. Rothberg

2007 ◽  
Vol 54 (3) ◽  
pp. 383-403 ◽  
Author(s):  
Annamaria Nese ◽  
Niall O’Higgins
Keyword(s):  

1986 ◽  
Vol 10 (6) ◽  
pp. 853-859 ◽  
Author(s):  
Alfred McAlister ◽  
Nancy P. Gordon

2021 ◽  
Author(s):  
Ashleigh Cara Stewart ◽  
Reece Cossar ◽  
Shelley Walker ◽  
Anna Lee Wilkinson ◽  
Brendan Quinn ◽  
...  

Abstract Background There are significant challenges associated with studies of people released from custodial settings, including loss to follow-up in the community. Interpretation of findings with consideration of differences between those followed up and those not followed up is critical in the development of evidence-informed policies and practices. We describe attrition bias in the Prison and Transition Health (PATH) prospective cohort study, and strategies employed to minimise attrition.Methods PATH involves 400 men with a history of injecting drug use recruited from three prisons in Victoria, Australia. Four interviews were conducted: one pre-release (‘baseline’) and three interviews at approximately 3, 12, and 24 months post-release (‘follow-up’). We assessed differences in baseline characteristics between those retained and not retained in the study, using two-sample tests of proportions and t-tests.Results Most participants (85%) completed at least one follow-up interview and 162 (42%) completed all three follow-up interviews. Retained participants were younger than those lost to follow-up (mean diff − 3.1 years, 95% CI -5.3, -0.9). There were no other statistically significant differences observed in baseline characteristics.Conclusion The high proportion of participants retained in the PATH cohort study via comprehensive follow-up procedures, coupled with extensive record linkage to a range of administrative datasets, is a considerable strength of the study. Our findings highlight how strategic and comprehensive follow-up procedures, frequent contact with participants and secondary contacts, and established working relationships with the relevant government departments can improve study retention and potentially minimise attrition bias.


2017 ◽  
Vol 4 (3) ◽  
pp. e37 ◽  
Author(s):  
Alyssa C Milton ◽  
Louise A Ellis ◽  
Tracey A Davenport ◽  
Jane M Burns ◽  
Ian B Hickie

Background Web-based self-report surveying has increased in popularity, as it can rapidly yield large samples at a low cost. Despite this increase in popularity, in the area of youth mental health, there is a distinct lack of research comparing the results of Web-based self-report surveys with the more traditional and widely accepted computer-assisted telephone interviewing (CATI). Objective The Second Australian Young and Well National Survey 2014 sought to compare differences in respondent response patterns using matched items on CATI versus a Web-based self-report survey. The aim of this study was to examine whether responses varied as a result of item sensitivity, that is, the item’s susceptibility to exaggeration on underreporting and to assess whether certain subgroups demonstrated this effect to a greater extent. Methods A subsample of young people aged 16 to 25 years (N=101), recruited through the Second Australian Young and Well National Survey 2014, completed the identical items on two occasions: via CATI and via Web-based self-report survey. Respondents also rated perceived item sensitivity. Results When comparing CATI with the Web-based self-report survey, a Wilcoxon signed-rank analysis showed that respondents answered 14 of the 42 matched items in a significantly different way. Significant variation in responses (CATI vs Web-based) was more frequent if the item was also rated by the respondents as highly sensitive in nature. Specifically, 63% (5/8) of the high sensitivity items, 43% (3/7) of the neutral sensitivity items, and 0% (0/4) of the low sensitivity items were answered in a significantly different manner by respondents when comparing their matched CATI and Web-based question responses. The items that were perceived as highly sensitive by respondents and demonstrated response variability included the following: sexting activities, body image concerns, experience of diagnosis, and suicidal ideation. For high sensitivity items, a regression analysis showed respondents who were male (beta=−.19, P=.048) or who were not in employment, education, or training (NEET; beta=−.32, P=.001) were significantly more likely to provide different responses on matched items when responding in the CATI as compared with the Web-based self-report survey. The Web-based self-report survey, however, demonstrated some evidence of avidity and attrition bias. Conclusions Compared with CATI, Web-based self-report surveys are highly cost-effective and had higher rates of self-disclosure on sensitive items, particularly for respondents who identify as male and NEET. A drawback to Web-based surveying methodologies, however, includes the limited control over avidity bias and the greater incidence of attrition bias. These findings have important implications for further development of survey methods in the area of health and well-being, especially when considering research topics (in this case diagnosis, suicidal ideation, sexting, and body image) and groups that are being recruited (young people, males, and NEET).


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