READ ME File For 'Dataset title' Dataset DOI: https://doi.org/10.5258/SOTON/D2289 ReadMe Author: Kamaluddeen Garba, University of Southampton ORCID ID This dataset supports the thesis entitled: Epidemiology and Treatment of Interstitial Cystitis/Painful Bladder Syndrome and the Potential of Medical Grade Manuka Honey as Therapeutic Strategy AWARDED BY: Univeristy of Southampton DATE OF AWARD: [2022] DESCRIPTION OF THE DATA [The data contains results of survey collected from patients with interstitial cystitis/painful bladder syndrome pooled from Bladder health UK. Furthermore, the second part of the data is related to cell culture work on how medical grade manuka honey affects degranulation of mast cells in treating the disease] This dataset contains; 4 files in xlsx format Cell culture work Survey Data Survey Data Treatment Survey Data KHQ Date of data collection: [07/02/2019-01/05/2021] Information about geographic location of data collection: Licence: [CC-BY] Related projects/Funders: [ADD IN] Related publication: [1. K. Garba, M. Avery, M. Yusuh, O. Abdelwahab, S. Harris, BR. Birch, BA Lwaleed (2022). Real World Oral Treatments of Interstitial Cystitis/Painful Bladder Syndrome in the UK: A Cross-Sectional Study. Neurourology and Urodynamics. Neurourology and Urodynamics. 41: 416-422. https://doi.org/10.1002/nau.24840 2. K. Garba, M. Avery, M. Yusuh, O. Abdelwahab, S. Harris, BR. Birch, BA Lwaleed (2021). Relationship between Illness Perception and Worsening of Symptoms of Interstitial Cystitis/Painful Bladder Syndrome. Neurourology and Urodynamics. 40 (8):2020-2025. https://doi.org/10.1002/nau.24787 3. K. Garba, OKA. Abdelwahab, M. Yusuh, M. Avery, B. Birch, BA Lwaleed. Real-World Use of Treatments in Interstitial Cystitis/Painful Bladder Syndrome: Outcome of an Online Survey. Presented at European Association of Urology Congress on 17th July 2020 and Published European Urology Open Science. 19:e503-e504 http://dx.doi.org/10.1016/S2666-1683(20)32902-5] Date that the file was created: July, 2022 -------------- Notes: 1. Rename file, giving it an appropriate name and removing the word 'template'. 2. Remove [] adding in information where required. 3. Remove any sections not relevant to your dataset 4. Remove these notes before saving