A scoping review of the use of ethnographic approaches in implementation research and recommendations for reporting

Background: Researchers have argued for the value of ethnographic approaches to implementation science (IS). The contested meanings of ethnography pose challenges and possibilities to its use in IS. The goal of this study was to identify sources of commonality and variation, and to distill a set of recommendations for reporting ethnographic approaches in IS. Methods: We included in our scoping review English-language academic journal articles meeting two criteria: (1) IS articles in the healthcare field and (2) articles that described their approach as ethnographic. In March 2019, we implemented our search criteria in four academic databases and one academic journal. Abstracts were screened for inclusion by at least two authors. We iteratively develop a codebook for full-text analysis and double-coded included articles. We summarized the findings and developed reporting recommendations through discussion. Results: Of the 210 articles whose abstracts were screened, 73 were included in full-text analysis. The number of articles increased in recent years. Ethnographic approaches were used within a wide variety of theoretical approaches and research designs. Articles primarily described using interviews and observational methods as part of their ethnographic approaches, though numerous other methods were also employed. The most cited rationales for using ethnographic approaches were to capture context-specific phenomena, understand insiders? perspective, and study complex interactions. In reporting on ethnographic approaches, we recommend that researchers provide information on researcher training and position, reflect on researchers? positionality, describe observational methods in detail, and report results from all the methods used. Conclusion: The number of IS studies using ethnography has increased in recent years. Ethnography holds great potential for contributing further to IS, particularly to studying implementation strategy mechanisms and understanding complex adaptive systems. Plain language summary: Researchers have proposed that ethnographic methods may be valuable to implementation research and practice. Ethnographic approaches have their roots in the field of anthropology, but they are now used in many fields. These approaches often involve a researcher spending time in 'real-world' settings, conducting interviews and observation to understand a group of people. That said, researchers disagree on the meaning of ethnography, which presents a challenge to its use in implementation science (IS). We searched for articles in the field of IS that described their methods as ethnographic. We then reviewed the articles, looking for similarities and differences in how and why ethnographic approaches were used. Many of these articles said they used ethnographic methods because they were interested in issues like context, research participants? views, and complex interactions. We found a large amount of variation in how ethnographic methods were used. We developed recommendations for describing ethnographic methods in a way that readers can clearly understand. We also made several observations of the value ethnographic approaches can bring to IS. Ethnographic methods may be especially useful to studying unplanned and unexpected changes that take place during implementation. These recommendations and observations could be helpful to implementation researchers wishing to use ethnographic methods

Blending Qualitative and Computational Linguistics Methods for Fidelity Assessment: Experience with the Familias Unidas Preventive Intervention

Careful fidelity monitoring and feedback are critical to implementing effective interventions. A wide range of procedures exist to assess fidelity; most are derived from observational assessments (Schoenwald et al, 2013). However, these fidelity measures are resource intensive for research teams in efficacy/effectiveness trials, and are often unattainable or unmanageable for the host organization to rate when the program is implemented on a large scale. We present a first step towards automated processing of linguistic patterns in fidelity monitoring of a behavioral intervention using an innovative mixed methods approach to fidelity assessment that uses rule-based, computational linguistics to overcome major resource burdens. Data come from an effectiveness trial of the Familias Unidas intervention, an evidence-based, family-centered preventive intervention found to be efficacious in reducing conduct problems, substance use and HIV sexual risk behaviors among Hispanic youth. This computational approach focuses on “joining,” which measures the quality of the working alliance of the facilitator with the family. Quantitative assessments of reliability are provided. Kappa scores between a human rater and a machine rater for the new method for measuring joining reached .83. Early findings suggest that this approach can reduce the high cost of fidelity measurement and the time delay between fidelity assessment and feedback to facilitators; it also has the potential for improving the quality of intervention fidelity ratings