This study explored the impact of authentic learning exercises, as an instructional strategy, on preservice teachers' technology integration self-efficacy and intentions to integrate technology. Also explored was the predictive relationship between change in preservice teachers' technology integration self-efficacy and change in intentions to integrate technology. Participants included 104 preservice teachers enrolled into a professional preparation methods course. Technology integration self-efficacy was measured as perceived technological knowledge (TK), pedagogical knowledge (PK), technological pedagogical knowledge (TPK), pedagogical content knowledge (PCK), and technological pedagogical content knowledge (TPACK). A paired samples t-test revealed a significant increase in self-efficacy for all TPACK constructs, as well as intentions to integrate technology. The effect was greatest for PCK. Also, multiple regression analysis revealed change in technology integration self-efficacy as a model, predicted change in intentions to integrate. Particularly change in perceived technology knowledge, predicted change in intentions. Implications for professional preparation programs are shared.

There are 56.7 million people with disabilities (PWD) living in the United States; yet, PWD are significantly underrepresented in health research. Even when researchers purposively seek to include PWD in studies, challenges emerge related to recruitment and retention, leading to inadequate representation and surface understandings of this population. This in turn contributes to the perpetuation of implicit and explicit health disparities that are already experienced by this population. Grounded within a qualitative, community-based participatory health research framework, we highlight challenges associated with recruiting and retaining PWD in health research, including a critical analysis of the research enterprise structure, how this disables accessible research practices for PWD, and leads to continued skepticism among PWD regarding the value of participating in research. Finally, we propose solutions to create and maintain a culture of access and inclusion as well as long-term collaborative and equity-focused partnerships.

eHealth is characterized by technology-enabled processes, systems, and applications that expedite accurate, real-time health information, feedback, and skill development to advance patient-centered care. When designed and applied in a culturally competent manner, eHealth tools can be particularly beneficial for traditionally marginalized ethnic minority groups, such as Latinos, a group that has been identified as being at the forefront of emerging technology use in the United States. In this analytic overview, we describe current eHealth research that has been conducted with Latino patient populations. In addition, we highlight cultural and linguistic factors that should be considered during the design and implementation of eHealth interventions with this population. With increasing disparities in preventive care information, behaviors, and services, as well as health care access in general, culturally competent eHealth tools hold great promise to help narrow this gap and empower communities.

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Cancer and its treatment can significantly impact health-related quality of life (HRQOL) (J Pain Symptom Manag 9 (3):186-192, 1994; Soc Sci Med 46:1569-1584, 1998), particularly for Hispanics (Healthcare Financ Rev 29 (4):23-40, 2008; Psycho-Oncology 21 (2):115-124, 2012). Moreover, providers of cancer support for this population may encounter unique challenges. Grounded in social capital theory, this study identified Spanish-speaking, Hispanic breast cancer survivor support needs and preferences for a mHealth intervention. A user-centered, community-engaged research design was employed, consisting of focus groups made up of constituents from a local Hispanic-serving, cancer support organization. Focus group audio-recordings, translated into English, were coded using a grounded theory analytic approach. First, lead researchers read the complete transcripts to obtain a general sense of the discussion. Next, coding rules were established (e.g., code at the most granular level; double and triple code if necessary, code exhaustively) and initial codebook was created through open-coding. Three new coders were trained to establish requisite kappa statistic levels (≥.70) for inter-rater reliability. With training and discussion, kappa estimates reached .81-.88. Focus group (n = 31) results revealed a mHealth intervention targeting Hispanic cancer patients should not only offer information and support on disease/treatment effects but also respond to the individual's HRQOL, particularly emotional and social challenges. Specifically, participants expressed a strong desire for Spanish content and to connect with others who had gone through a similar experience. Overall, participants indicated they would have access to and would use such an intervention. Findings indicate positive support for a mHealth tool, which is culturally tailored to Spanish speakers, is available in Spanish, and connects cancer patients with survivors.