Kakande, A, Slivesteri, S, Ssali, A, Bahemuka, UM, Nsubuga, D, Muwanga, M, Nsereko, C, Ssemwanga, E, Robert, A, Seeley, J, Elliott, AM and Ruzagira, E. 2023. Qualitative interview data on the factors that influence COVID-19 vaccine uptake among healthcare workers and older persons in three Ugandan hospitals and areas of Wakiso district. [Online]. London School of Hygiene & Tropical Medicine, London, United Kingdom. Available from: https://doi.org/10.17037/DATA.00003700.
Kakande, A, Slivesteri, S, Ssali, A, Bahemuka, UM, Nsubuga, D, Muwanga, M, Nsereko, C, Ssemwanga, E, Robert, A, Seeley, J, Elliott, AM and Ruzagira, E. Qualitative interview data on the factors that influence COVID-19 vaccine uptake among healthcare workers and older persons in three Ugandan hospitals and areas of Wakiso district [Internet]. London School of Hygiene & Tropical Medicine; 2023. Available from: https://doi.org/10.17037/DATA.00003700.
Kakande, A, Slivesteri, S, Ssali, A, Bahemuka, UM, Nsubuga, D, Muwanga, M, Nsereko, C, Ssemwanga, E, Robert, A, Seeley, J, Elliott, AM and Ruzagira, E (2023). Qualitative interview data on the factors that influence COVID-19 vaccine uptake among healthcare workers and older persons in three Ugandan hospitals and areas of Wakiso district. [Data Collection]. London School of Hygiene & Tropical Medicine, London, United Kingdom. https://doi.org/10.17037/DATA.00003700.
Description
Anonymised transcripts of 33 in-depth interview with 25 healthcare workers (HCWs) and 8 older persons who gave consent to participate in the COVID-19 vaccine uptake study among healthcare workers and older persons in three hospitals in Uganda and areas of Wakiso district. Transcripts cover social demographic information and explores participants’ knowledge, beliefs, personal experiences, barriers, and facilitators to vaccine uptake and suggestions for future COVID-19 vaccine rollout.
Additional information
All correspondence and applications related to this data will be handled by the MRC/UVRI and LSHTM Uganda Research Unit. Researchers may apply to access limited, anonymised information contained within the interview transcripts. Please consult the codebook and state the research topics/questions in which you are interested when applying for access. If there is a recognised risk of indirect identification from the provision of selected quotes, applicants (or their host institution) will be asked to sign a data transfer agreement, which will establish confidentiality conditions.
Keywords
Description of data capture | Social science research assistants (RAs) contacted the selected individuals via telephone voice call and requested their participation in the in-depth interviews. Interviews were conducted using a semi-structured interview guide that included the following topics: knowledge, beliefs, and attitudes towards COVID-19 vaccines; enabling factors and barriers to uptake of COVID-19 vaccines; and personal views on the future of the COVID-19 vaccine rollout programme. The interviews were audio recorded if the participant agreed, or notes were taken if the participant declined voice recording. Audio Interviews were subsequently transcribed. A senior social scientist conducted regular debriefing meetings with the RAs to review the completeness of the data and identify areas to improve on in subsequent interviews. Anonymized audio files were transferred onto encrypted password-protected computers, transcriptions and translations were done by the Research Assistants, and anonymized transcripts were transferred to a secure data server at the Medical Research Council /Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine (MRC/UVRI and LSHTM) Uganda Research Unit. Data analysis process involved an iterative approach with two research assistants, under the guidance of a senior social scientist. The research team collaboratively reviewed and discussed transcripts to identify and reach a consensus on common codes. A codebook was developed based on a priori data categorization and emergent categories that came from the coding process. | ||||
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Data capture method | Interview: Telephone-delivery | ||||
Data Collection Period |
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Date (Date submitted to LSHTM repository) | 24 November 2023 | ||||
Language(s) of written materials | English |
Data Creators | Kakande, A, Slivesteri, S, Ssali, A, Bahemuka, UM, Nsubuga, D, Muwanga, M, Nsereko, C, Ssemwanga, E, Robert, A, Seeley, J, Elliott, AM and Ruzagira, E |
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LSHTM Faculty/Department | MRC/UVRI and LSHTM Uganda Research Unit |
Participating Institutions | MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda |
Funders |
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Date Deposited | 15 Nov 2023 12:54 |
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Last Modified | 31 May 2024 12:16 |
Publisher | London School of Hygiene & Tropical Medicine |
Downloads
Data / Code
Restricted to: Request access for all
Filename: CO-ROLL_transcripts.zip
Description: Each transcript covers Knowledge regarding COVID-19 vaccines, beliefs and attitudes, personal experiences, facilitators and barriers to vaccine uptake, and questions on the future for COVID-19 vaccination
Licence: Data Sharing Agreement
Content type: Dataset
File size: 261B
Mime-Type: application/zip
Documentation
Filename: CO-ROLL_codebook.html
Description: Code book for the in-depth interviews
Content type: Textual content
File size: 4kB
Mime-Type: text/html
Filename: 3700-UserGuide.html
Description: User guide for in-depth interviews
Content type: Textual content
File size: 8kB
Mime-Type: text/html