In early 2020, we piloted MCR in two environmental exposure studies in Massachusetts, USA, as part of the Center for Research on Environmental and Social Stressors in Housing Across the Life Course (CRESSH) and the Assessing Children’s Environmental Exposures (ACHIEVE) project. Each study team had recently completed at least one report-back using documents created manually for each participant. In each study, we used MCR to complete a subsequent round of report-back. Following implementation of MCR, we interviewed team members from both studies and asked them to describe the report-back process with and without the use of MCR. We then performed qualitative analyses to identify key benefits and challenges of MCR implementation.

The Center for Research on Environmental and Social Stressors in Housing Across the Life Course (CRESSH) is an environmental health disparities (EHD) research center funded by the US Environmental Protection Agency and the National Institute on Minority Health and Health Disparities involving researchers at Boston University School of Public Health and Harvard T.H. Chan School of Public Health. The CRESSH project that used MCR was the Home Observation and Monitoring Exposure (HOME) study, which involved collection of indoor air quality data from 150 homes in two environmental justice communities in the Greater Boston area: 72 homes in the city of Chelsea and 74 homes in the Boston neighborhood of Dorchester [24,25]. Report-back for HOME consisted of general and individualized information which characterized common routes of exposure to indoor air contaminants, as well as numerical, text, and graphical representations of participants’ in-home air concentrations of these contaminants. The study team completed the report-back for Chelsea without MCR in summer 2018, manually creating individualized reports for each participant [26,27]. For the report-back in Dorchester (winter 2020), the study team used MCR to generate reports using numerical, text, and graphical results prepared in R and Microsoft Excel.

Assessing Children’s Environmental Exposures (ACHIEVE) is a community-initiated pilot study conducted by researchers at Boston University School of Public Health and by community members in Holliston, MA, USA, to assess early life exposure to manganese in their local drinking water. Researchers worked alongside community members to collect residential tap water and previously shed baby teeth, a biomarker of retrospective exposure, and then reported estimates of the children’s previous (teeth) and current (water) manganese exposure [28]. In the prior report-back, researchers created letters that provided individual-level information on tap water manganese levels for 19 homes in winter 2019 and group-level information on tooth manganese levels for 28 participants in fall 2019. Subsequently, in winter 2020, researchers used MCR and Microsoft Excel to complete the third round of report-back for individual-level information on manganese in repeated tap water samples for 21 homes.

One member of our team (E.C.) conducted qualitative interviews over the phone with seven researchers from the CRESSH and ACHIEVE study teams. Interviewees included principal investigators (n = 2), doctoral students (n = 2), project coordinators (n = 2), and a project manager (n = 1). Boston University Medical Campus Institutional Review Board approved our study methods and interview questionnaire (approval number H-40282, interview questions listed in Table 1). E.C. removed any identifying information from the interview transcripts, and then three members of our research team (E.C., E.P., C.M.) coded de-identified interview transcripts using a directed content analysis process [29] in NVivo (QSR International Pty Ltd., Doncaster, Australia, version 12, 2019). Codes highlighted the benefits and challenges of the manual report-back process and the report-back process using MCR.

Semi-structured interview questions for the research team members using MCR in a subsequent report-back.

Note: The content above has been extracted from a research article, so it may not display correctly.

Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.

We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.