Semistructured in-depth interviews are commonly used in qualitative research and are the most frequent qualitative data source in health services research. This method typically consists of a dialogue between researcher and participant, guided by a flexible interview protocol and supplemented by follow-up questions, probes and comments. The method allows the researcher to collect open-ended data, to explore participant thoughts, feelings and beliefs about a particular topic and to delve deeply into personal and sometimes sensitive issues. The purpose of this article was to identify and describe the essential skills to designing and conducting semistructured interviews in family medicine and primary care research settings. We reviewed the literature on semistructured interviewing to identify key skills and components for using this method in family medicine and primary care research settings. Overall, semistructured interviewing requires both a relational focus and practice in the skills of facilitation. Skills include: (1) determining the purpose and scope of the study; (2) identifying participants; (3) considering ethical issues; (4) planning logistical aspects; (5) developing the interview guide; (6) establishing trust and rapport; (7) conducting the interview; (8) memoing and reflection; (9) analysing the data; (10) demonstrating the trustworthiness of the research; and (11) presenting findings in a paper or report. Semistructured interviews provide an effective and feasible research method for family physicians to conduct in primary care research settings. Researchers using semistructured interviews for data collection should take on a relational focus and consider the skills of interviewing to ensure quality. Semistructured interviewing can be a powerful tool for family physicians, primary care providers and other health services researchers to use to understand the thoughts, beliefs and experiences of individuals. Despite the utility, semistructured interviews can be intimidating and challenging for researchers not familiar with qualitative approaches. In order to elucidate this method, we provide practical guidance for researchers, including novice researchers and those with few resources, to use semistructured interviewing as a data collection strategy. We provide recommendations for the essential steps to follow in order to best implement semistructured interviews in family medicine and primary care research settings.
Community-based participatory research (CBPR) is an orientation to research that places value on equitable collaborations between community members and academic partners, reflecting shared decision making throughout the research process. Although CBPR has become increasingly popular for research with adults, youth are less likely to be included as partners. In our review of the literature, we identified 399 articles described by author or MeSH keyword as CBPR related to youth. We analyzed each study to determine youth engagement. Not including misclassified articles, 27 % of percent of studies were community-placed but lacked a community partnership and/or participatory component. Only 56 (15 %) partnered with youth in some phase of the research process. Although youth were most commonly involved in identifying research questions/priorities and in designing/conducting research, most youth-partnered projects included children or adolescents in several phases of the research process. We outline content, methodology, phases of youth partnership, and age of participating youth in each CBPR with youth project, provide exemplars of CBPR with youth, and discuss the state of the youth-partnered research literature.
A process of social science research that combines inquiry with practical solutions of day-today problems of a particular group or community. Community-Engaged Research (CEnR) Represents a broad array of research approaches that emphasize academic-community partnerships focused on issues that affect the well-being of the community of focus. community engagement in research Ahmed & Palermo (2010); CTSA (2011); Key et al (2019) Community Science Research that is focused on building strong communities through partnered prevention, treatment, education, and health promotion efforts. Often used within community psychology.
This article discusses the process by which a questionnaire was developed specifically to measure attitude to shared learning. Over a three-year period the attitude questionnaire was developed and tested using pre-registration students who were engaged in a shared learning programme. These pre-registration students were from three professional groups, namely occupational therapy (OT), diagnostic radiography (DR), and therapeutic radiography (TR). While the study hypothesis was that shared learning would improve attitudes over the three-year period, the focus of this article is to discuss the process by which the research instrument was developed. The rationale for focusing on the process is a simple one. After a diligent literature search it was clear that there were no attitude questionnaires specific to attitude measurement in relation to shared learning. Thus without an already validated attitude to a shared learning questionnaire, it became imperative to create systematically a credible attitude measure of shared learning. The process centred on understanding how monadic scales are constructed and used to measure attitudes and perceptions of participants. Amongst a number of processes to be followed was the need also to check the reliability of the developed questionnaire. This was done using the Cronbach alpha coefficient. A Cronbach alpha coefficient of 0.7 was set as a minimum reliability requirement, which was duly satisfied. The outcome of this process was that it very useful to learn how to produce a suitable instrument to measure attitude to shared learning and to add in a small way to the range of attitude questionnaires available.
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