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The Case Study Experience: Sharing Methodological Approaches and Lessons Learned from a Large-Scale, Longitudinal Evaluation
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| Presenter(s):
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| Jennifer Boehm,
Centers for Disease Control and Prevention,
jboehm@cdc.gov
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| Judith Priessle,
University of Georgia,
jude@uga.edu
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| Amy DeGroff,
Centers for Disease Control and Prevention,
adegroff@cdc.gov
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| Rebecca Glover-Kudon,
University of Georgia,
rebglover@yahoo.com
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| Abstract:
The Centers for Disease Control and Prevention is funding a three-year, five-site, colorectal cancer screening demonstration program to provide screening to low-income, uninsured populations. As part of a multiple methods evaluation effort, a longitudinal case study including all five sites is underway to assess program implementation and document lessons learned and challenges faced by the demonstration sites. Case study methods include semi-structured interviews, focus groups, documents review, and participant observations. Two waves of data collection have been conducted and include over 120 individual interviews.
Given the complexity of the case study design, this paper addresses the methodological approach and related challenges. Specifically, the paper addresses the team-based approach, protocol development, data collection, and analysis. Attention is given to the longitudinal nature of the study, data management, underlying tensions between in-case and cross-case analysis, ethical challenges, and the relationship between the case study team and participants.
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Children Home Alone: Modeling Parental Decisions and Associated Factors in Botswana, Mexico, and Vietnam
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| Presenter(s):
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| Monica Ruiz-Casares,
McGill University,
monica.ruizcasares@mail.mcgill.ca
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| Abstract:
In the absence of information on children home alone in non-industrialized countries, this paper uses descriptive statistics, content analysis, and ethnographic decision modeling to examine different child-care arrangements utilized by families in Botswana, Mexico, and Vietnam. The Global Working Families Project interviewed 537 working caregivers attending government health clinics. Poverty, social integration, cultural norms, and child development frame parents’ decisions of care. In one-half of the families in Botswana, over one-third of the families in Mexico, and one-fifth of the families in Vietnam, children are left home alone on a regular or occasional basis. Moreover, fifty-two percent of families leaving children home alone relied on paid or unpaid child help with childcare. Rarely a preferred choice, parents identified benefits and risks of these arrangements. Societal insufficient support to working families results on unsafe childcare arrangements and limited parental involvement in child education and health care.
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The Legacy for Children™ Study Experience: Promising Approaches in Comprehensive, In-Depth, Mixed-Methods Process Evaluation
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| Presenter(s):
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| Jenifer Fraser,
RTI International,
jgf@rti.org
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| Camille Smith,
RTI International,
cas0@cdc.gov
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| Ina Wallace,
RTI International,
wallace@rti.org
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| Angelika Claussen,
Centers for Disease Control and Prevention,
bhv6@cdc.gov
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| Terri Spinney,
RTI International,
tspinney@rti.org
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| Andrea Reubens,
RTI International,
areubens@rti.org
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| Ruth Perou,
Centers for Disease Control and Prevention,
rperou@cdc.gov
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| Abstract:
A comprehensive, mixed-methods process evaluation is being conducted for the Legacy for Children™ study, a CDC-funded multi-site, longitudinal RCT intervention aimed at promoting adaptive parenting among low-income mothers and their children. Participants were randomized to either the intervention (n = 369) or control (n = 246) condition. The Legacy process evaluation focuses on participants in the experimental arm of the study. This paper will provide an overview of the approach and methods employed in the process evaluation, including participant satisfaction surveys, annual focus groups, and case study interviews. The Legacy process evaluation includes an extensive ethnography component examining the delivery of the intervention. We will describe how this large ethnographic data set will be used for fine-grained analysis of factors affecting program implementation and describe our approach for triangulating across the complex array of longitudinal process data. Challenges and lessons learned will be shared, as well as recommendations for the field.
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