A. INTRODUCTION This document serves as an addendum to the existing attrition white paper (“Assessing Attrition Bias” version 2.1) previously used for the WWC Procedures and Standards Handbook, version 2.1. This document does not recommend any substantive changes to the version 2.1 attrition bounds. Instead, this addendum presents additional empirical information and sensitivity analyses to sup...

Lay health workers are key to achieving universal health-care coverage, therefore measuring worker attrition and identifying its determinants should be an integral part of any lay health worker programme. Both published and unpublished research on lay health workers has largely focused on the types of interventions they can deliver effectively. This is an imperative since the main objective of ...

OBJECTIVES To operationalize a comprehensive description of attrition, including pre-inclusion, dropout, and attrition due to intermittent missing data, and to test a predictive model of attrition using a data set from a randomized controlled intervention in pediatric asthma. METHODS Participants included children, ages 4-12, diagnosed with asthma and their caregivers. Demographic variables a...

background and purpose: the aim of this research is to determine the factors contributing to academic attrition among day – course students of lorestan university of medical sciences. methods: in this case – control study all the day – course students who had at least one semester of an average mark under 12 in academic year 2000-2001 were chosen and then the same number of students with an ave...

Background Studies from sub-Saharan Africa have shown high incidence of attrition due to mortality or loss to follow-up (LTFU) after initiating antiretroviral therapy (ART). India is the third largest country in the world in terms of HIV infected people, but predictors of attrition after ART initiation are not well known. Design We describe factors associated with attrition, mortality, and LTFU...

Longitudinal household data can have considerable advantages over much more widely used cross-sectional data. The collection of longitudinal data, however, may be difficult and expensive. One problem that has concerned many analysts is that sample attrition may make the interpretation of estimates problematic. Such attrition may be particularly severe in areas where there is considerable mobili...

In a prospective study of U.S. Navy recruits (n = 5,491), we examined the relationship between childhood exposure to family violence (child physical abuse, child sexual abuse [CSA], and domestic violence) and attrition. Overall, 55% of recruits experienced one or more forms of childhood family violence and 34% of recruits attrited within 4 years after enlistment. Considered separately, each for...

BACKGROUND Longitudinal research is subject to participant attrition. Systemic differences between retained participants and those lost to attrition potentially bias prevalence of outcomes, as well as exposure-outcome associations. This study examines the impact of attrition on the prevalence of child injury outcomes and the association between sociodemographic factors and child injury. METHO...

Panel (or longitudinal) data often provide an understanding of the dynamic behavior of individual households not possible with cross-sectional or time-series information alone. However, a disturbing feature of this type of survey in both developed and developing countries is that there is often substantial, nonrandom attrition. Therefore, an important concern is the extent to which attrition in...

OBJECTIVE Patient dropout (attrition) can bias and threaten validity of databank-based studies. Although there are several databanks of rheumatoid arthritis (RA) in operation, this phenomenon has not been well studied. METHODS We studied the attrition patterns of patients with RA in 11 long-running databanks where patients were followed using semiannual Health Assessment Questionnaires. Attri...