READ ME File For 'Hospital readmission - Interview transcripts and Hospital data' Dataset DOI: 10.5258/SOTON/D3601 ReadMe Author: Fanis Stavrou, University of Southampton ORCID ID: 0000-0002-9241-8839 This dataset supports the thesis entitled: Older people’s experiences and factors associated with hospital readmission: a mixed methods study AWARDED BY: University of Southampton DATE OF AWARD: 2023 DESCRIPTION OF THE DATA The interview transcripts dataset contains: Data for this study were collected through semi-structured, face-to-face interviews guided by a predefined interview schedule. The interview transcripts captured participants’ narratives regarding their first hospital admission and discharge, the period leading up to their readmission, as well as their experiences during the second admission and subsequent discharge. In addition to these core themes, sociodemographic backgrounds and relevant medical history was collected. All interviews were audio-recorded with consent, transcribed verbatim, and stored as Microsoft Word documents for ease of access and review. The collected data were subsequently imported into NVivo software for analysis. An Interpretative Phenomenological Analysis (IPA) approach was employed to explore in depth the lived experiences and personal meanings associated with participants’ hospital journeys. This method enabled the identification of key themes that informed the study’s findings. Date of data collection: September 2018 - July 2019 The Hospital data contains: A cross-sectional study design incorporating retrospective analysis of routinely collected data was employed to explore whether factors identified by participants during interviews were reflected in the hospital’s electronic database and how these factors related to hospital readmissions. The data were extracted by a data analyst at University Hospital Southampton (UHS), who anonymised patient identifiers. The dataset comprised three separate spreadsheets, including a total of 6,789 data points collected between October and December 2019. These spreadsheets were cleansed and merged into a single dataset. Deaths were excluded from the dataset.The final dataset consisted of 2,708 valid cases, of which 159 were associated with readmission. The sample did not include any data from participants who took part in the qualitative phase (Phase 2) of the study. The dataset included the following variables: Age, Gender, Ethnicity, Postcode Prefix, Admission Ward, Admission Source, Admission Method, Admission Type, Admission Specialty, ICD-10 Codes, Comorbidities, Medications, Length of Stay, Discharge Method, Discharge Destination, Discharge Day, Discharge Alert System, SCC (Southampton City Council), Follow-up Arrangements, and Lives Alone. In addition to clinical data, inpatient survey designed to capture patient experiences and perceptions of their care and involvement in decision-making was considered, in which the patient experience team at UHS provided two survey datasets. The data were analysed using IBM SPSS Statistics. Two groups were created for comparison: Not Readmitted Group and the Readmitted Group. All quantitative data were stored and analysed in Microsoft Excel and SPSS. Date of data collection: November 2020 - April 2021 Information about the geographic location of data collection: Southampton Licence: Creative Commons Attribution International Licence 4.0 (CC-BY) Related projects/Funders: Not applicable/ self-funded project Related publication: Exploring Older People's Experiences and Factors Associated With 30‐Day Hospital Readmission: A Qualitative Study Using Interpretive Phenomenological Analysis. International Journal of Older People Nursing 2024-11 | Journal article. DOI: 10.1111/opn.12662 Contributors: Fanis Stavrou; Jo Adams; Harnish P. Patel; Ivaylo Vassilev; Dinesh Samuel Date that the file was created: July 2025 --------------