This review provides an overview of an important aspect of early childhood home visiting research: understanding how parents are involved in program services and activities. Involvement is defined as the process of the parent connecting with and using the services of a program to the best of the client's and the program's ability. The term includes two broad dimensions: participation, or the quantity of intervention a family receives; and engagement, or the emotional quality of the family's interaction with the program. Research that includes examination of parent involvement is reviewed, including examples from the Early Head Start Research and Evaluation Project. Factors that influence involvement are noted, including parent characteristics, qualities of the home visitor, and program features. The need for further measurement development and implications of these findings for home visiting programs are discussed.

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The purpose of this cross-sectional, descriptive study was to identify predictors of distress for family caregivers of persons with a primary malignant brain tumor (PMBT). The effect of the care recipient's functional, cognitive, and neuropsychiatric status on caregiver burden and depressive symptoms was examined through telephone interviews with 95 caregivers. Care recipients' neuropsychiatric status consistently affected caregivers' depressive symptoms and burden, and assisting with activities of daily living affected burden related to caregivers' schedules and health. The care recipient's cognitive status and need for assistance with instrumental activities of daily living did not affect any outcome variable. Results may help identify caregivers at risk for negative outcomes, and suggest interventions to improve caregivers' emotional health.

Background Use of common data elements (CDEs), conceptually defined as variables that are operationalized and measured in identical ways across studies, enables comparison of data across studies in ways that would otherwise be impossible. Although healthcare researchers are increasingly using CDEs, there has been little systematic use of CDEs for symptom science. CDEs are especially important in symptom science because people experience common symptoms across a broad range of health and developmental states, and symptom management interventions may have common outcomes across populations. Purposes The purposes of this article are to (a) recommend best practices for the use of CDEs for symptom science within and across centers; (b) evaluate the benefits and challenges associated with the use of CDEs for symptom science; (c) propose CDEs to be used in symptom science to serve as the basis for this emerging science; and (d) suggest implications and recommendations for future research and dissemination of CDEs for symptom science. Design The National Institute of Nursing Research (NINR)-supported P20 and P30 Center directors applied published best practices, expert advice, and the literature to identify CDEs to be used across the centers to measure pain, sleep, fatigue, and affective and cognitive symptoms. Findings We generated a minimum set of CDEs to measure symptoms. Conclusions The CDEs identified through this process will be used across the NINR Centers and will facilitate comparison of symptoms across studies. We expect that additional symptom CDEs will be added and the list will be refined in future work. Clinical Relevance Journal of Nursing Scholarship, 47:5, ©2015 Sigma Theta Tau International.