Multimorbidity and Knowledge Architectures: An Interdisciplinary Global Health Collaboration (KnowM): Qualitative Dataset, Zimbabwe (2021-2024)
Dixon, J
and Mundoga, FT
(2024).
Multimorbidity and Knowledge Architectures: An Interdisciplinary Global Health Collaboration (KnowM): Qualitative Dataset, Zimbabwe (2021-2024).
[Dataset].
UK Data Service.
https://doi.org/10.5255/UKDA-SN-857310
KnowM (2021-2024) was an interdisciplinary research collaboration to characterize the meaning, significance, and transformative potential of the concept of multimorbidity within a global health context, centred on a case study of Zimbabwe. It brought together stakeholders from across the Zimbabwe health system to critically interrogate the concept of multimorbidity and co-produce a formative agenda for responding to it in this setting. Data includes the health facility health facility survey (n=30 surveys), in-depth interviews (n=45 transcripts), and fieldnote summaries from participant-observation and other stakeholder engagements during the study (n=23 fieldnote summaries).
Keywords
Morbidity; Zimbabwe; Access to health services; Health; EthnographyItem Type | Dataset |
---|---|
Resource Type |
Resource Type Resource Description Dataset Quantitative |
Capture method | Interview, Questionnaire: Fixed form - Paper |
Collection Period |
From To September 2022 December 2023 |
Date | 30 July 2024 |
Language(s) of written materials | English |
Creator(s) |
Dixon, J |
Associated roles | Dhodho, E (Related Person), Karen, W (Related Person), Chandler, CI (Related Person), Ferrand, RA (Related Person) and Ndhlovu, CE (Related Person) |
LSHTM Faculty/Department | Faculty of Public Health and Policy > Dept of Global Health and Development |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom; Biomedical Research and Training Institute, Harare, Zimbabwe |
Funders |
Project Funder Grant Number Funder URI Multimorbidity and Knowledge Architectures: An Interdisciplinary Global Health Collaboration 222177 http://dx.doi.org/10.13039/100010269 |
Date Deposited | 23 Sep 2024 09:05 |
Last Modified | 05 Aug 2025 11:04 |
Publisher | UK Data Service |
Explore Further
- UK Data Service (Online Data Resource)
ORCID: https://orcid.org/0000-0002-7706-7305
ORCID: https://orcid.org/0009-0006-4874-908X