MEASUREMENT ISSUES IN HOME-VISITING RESEARCH WITHIN TRIBAL COMMUNITIES: CHALLENGES AND STRATEGIES.

In this article, Tribal Maternal, Infant, and Early Childhood Home Visiting (MIECHV) grantees share strategies they have developed and adopted to address the most common barriers to effective measurement (and thus to effective evaluation) encountered in the course of implementation and evaluation of their home-visiting programs. We identify key challenges in measuring outcomes in Tribal MIECHV Programs and provide practical examples of various strategies used to address these challenges within diverse American Indian and Alaska Native cultural and contextual settings. Notably, high-quality community engagement is a consistent thread throughout these strategies and fundamental to successful measurement in these communities. These strategies and practices reflect the experiences and innovative solutions of practitioners working on the ground to deliver and evaluate intervention programs to tribal communities. They may serve as models for getting high-quality data to inform intervention while working within the constraints and requirements of program funding. The utility of these practical solutions extends beyond the Tribal MIECHV grantees and offers the potential to inform a broad array of intervention evaluation efforts in tribal and other community contexts.

CULTURAL ADAPTATIONS OF EVIDENCE-BASED HOME-VISITATION MODELS IN TRIBAL COMMUNITIES.

The Tribal Maternal, Infant, and Early Childhood Home Visiting (Tribal MIECHV) Program provides federal grants to tribes, tribal consortia, tribal organizations, and urban Indian organizations to implement evidence-based home-visiting services for American Indian and Alaska Native (AI/AN) families. To date, only one evidence-based home-visiting program has been developed for use in AI/AN communities. The purpose of this article is to describe the steps that four Tribal MIECHV Programs took to assess community needs, select a home-visiting model, and culturally adapt the model for use in AI/AN communities. In these four unique Tribal MIECHV Program settings, each program employed a rigorous needs-assessment process and developed cultural modifications in accordance with community strengths and needs. Adaptations occurred in consultation with model developers, with consideration of the conceptual rationale for the program, while grounding new content in indigenous cultures. Research is needed to improve measurement of home-visiting outcomes in tribal and urban AI/AN settings, develop culturally grounded home-visiting interventions, and assess the effectiveness of home visiting in AI/AN communities.

APPROACHES TO THE EVALUATION OF CULTURAL ADAPTATIONS OF HOME VISITING IN TRIBAL COMMUNITIES.

The research that underlies evidence-based practices is often based on relatively homogenous study samples, thus limiting our ability to understand how the study findings apply in new situations as well as our understanding of what might need to be adapted. In a preliminary effort to address those gaps, the requirements for the Tribal Maternal Infant and Early Childhood Home Visiting Program (MIECHV) included the expectation that grantees design and implement rigorous evaluations to address local priorities and to help build the knowledge base regarding the use of evidence-based home-visiting programs in tribal communities. A priority that emerged across many Tribal MIECHV grantees was to determine the added benefit of the cultural adaptations that they were making to their home-visiting programs. While there is literature to describe recommended processes for making cultural adaptations to evidence-based programs themselves, there are very few guidelines for evaluating these adaptations. In this article, we review the varied evaluation approaches utilized by Tribal MIECHV grantees and provide three case examples of how evaluators and tribal communities worked together to articulate evaluation questions and choose appropriate and feasible evaluation designs. The lessons derived from these Tribal MIECHV evaluation experiences have implications for the role of the evaluator in diverse communities across the country evaluating home visiting and other evidence-based practices in settings characterized by unique cultural contexts.

Assessing or predicting adoption of telehealth using the diffusion of innovations theory: a practical example from a rural program in New Mexico.

In New Mexico, a large rural state, it was anticipated that telehealth would bring significant value to health care delivery, improve local capacity for patient care, decrease the need for patient travel, diminish professional isolation, provide an avenue for enhanced professional education and information sharing, increase access to care, and ultimately improve health status. During the course of an evaluation of the University of New Mexico Center for Telehealth's rural telemedicine program, we used a grounded theory approach to assess barriers to the adoption of telemedicine and components of successful adoption. We then turned to the diffusion of innovations theory to better understand the dynamic interactions between the characteristics of telehealth and the social system in which it is applied. In doing so, we learned that the type of innovation decision involved in the adoption of telehealth appears to be particularly important in determining adoption. In this article we demonstrate that diffusion theory can be a useful framework for evaluating telehealth programs. We also suggest that the development of a predictive tool for prospective assessment would be useful, and could be applied when new telehealth programs are being planned.