Participant Response Data for the Project 'Advancing Long COVID Care in our Community through Access, Equity, and Collaboration'
Description
The purpose of this project is to transform an existing, university-based Long COVID clinic into a broader Long COVID community network in order to expand equitable access to care, improve the patient care experience, and support primary care practitioners in the St. Louis metropolitan area and surrounding rural region. De-identified raw survey response data are shared for patients who explicitly consent to this type of sharing. Similarly, for participants who explicitly consent, de-identified interview transcripts are also shared after redacting potentially unique or identifying information. The files include qualitative data codebooks, REDCap data dictionaries, interview guides and protocols, patient and provider survey, analytic code, administrative codebooks, self report codebook. For survey data, REDCap data dictionaries, surveys, survey administration protocols, a codebook of coded variables are shared. Codebooks contains references and scoring information for relevant survey measures or indicate when survey items were developed or adapted specifically for this study. For each variable in the dataset, the codebook specifies the variable name, variable label/content, response values and labels, and any codes for missing values including numeric values and labels (e.g., 99 = don’t know). For interview data, shared items include interview guides and protocols (including description of interview settings and procedures); general descriptions of interviewers and interviewees (including eligibility criteria, sampling criteria, and recruitment methods); dates interviews were conducted; and codebooks containing code names, labels, and any procedural notes. The collection of this data was conducted with the approval of the Washington University in St. Louis Institutional Review Board (ID# 202401001).
Files are not publicly available
You can contact the author to request the files
Steps to reproduce
Year 1- For qualitative interviews, data was collected over Zoom or in person. Interviews were recorded on the Zoom platform and a handheld recorder as a backup. For surveys, data was collected through REDCap surveys using REDCap v14. Interview data for year 1 was recorded and sent to Landmark for transcription. Transcripts were deidentified (names and institution names were removed) and were uploaded to NVivo 14 for coding. Each transcript was coded and a report was generated for each variable. Interviews for year 2 were not uploaded and coded through NVivo. A summary of each interview was generated by the research team with the assistance of AI and trends were identified.
Institutions
- Washington University in St. Louis
Categories
Funders
Additional Metadata for Digital Commons Data@Becker
| Keywords | Long COVID, Community Care, Health Equity |
| Other Contributing Institutions | St. Louis Integrated Health Network |