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A user experience conceptual model for the visualisation of routine health information system data for managerial decision support
Thesis (PhD)--Stellenbosch University, 2023.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2023
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| _version_ | 1867613918306762752 |
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| access_status_str | Open Access |
| author | Dyers, Robin Edgar |
| author2 | Mahomed, Hassan |
| author_browse | Dyers, Robin Edgar Mahomed, Hassan |
| author_facet | Mahomed, Hassan Dyers, Robin Edgar |
| author_sort | Dyers, Robin Edgar |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (PhD)--Stellenbosch University, 2023. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/128355 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:43:46.817Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/128355 A user experience conceptual model for the visualisation of routine health information system data for managerial decision support Dyers, Robin Edgar Mahomed, Hassan Van Greunen, Darelle Stellenbosch University. Faculty of Medicine and Health Sciences. Dept. of Global Health. Health Systems and Public Health. Medical records -- Data processing Medical informatics Management information systems Quantitative research -- Medicine UCTD Thesis (PhD)--Stellenbosch University, 2023. ENGLISH SUMMARY: Public health managers make service delivery decisions based on multiple information sources. While South African legalisation compels health managers to engage specified data sets and account for service delivery performance in relation to the allocated finance, the interaction with these regulated datasets does not necessarily aid managers in their daily decision-making to fulfil their mandate of improving the population health outcomes. The extent to which engaging these datasets supports their decision-making is largely dependent on health managers’ experience of what and how routine health information system (RHIS) data is visualised. The digitisation and maturation of RHISs have led to a rapid proliferation of information. This does, however, require the development of decision-support tools to aid managers in navigating the expanding volume of data. While several tools are available for RHIS Data Visualisation (DataViz), different health managers require different datasets depending on their respective decision-spaces, contexts, content needs, and personal attributes. Ideally, they should have an in-depth understanding of the factors that would help them enhance the user experience (UX) of these managers. Although the International Organisation for Standardization (ISO) offered a definition of UX, its adequacy for the use-case of RHIS DataViz. was unknown. Business analysts, developers, and Public Health Medicine specialists in the Western Cape Government: Health (WCGH) Department work collaboratively to makes sense of the complexity of user requirements and context of use to create appropriate DataViz tools for such managers. The purpose of this study is to develop a User Experience model that will inform the design of routine health information visualisation systems for managerial decision support in the WCGH Department. The RHIS policy landscape, structures, and processes were described to gain an understanding of the regulatory context in which RHIS users interact with data for decision-making. This policy landscape overview set the scene for a case study of how health managers in the WCGH Department experienced RHIS DataViz., as well as their requirements for improved UX. A literature review was conducted to understand how ideas and theory of UX relate to their application in RHIS users. A Proposed UX model for RHIS DataViz. was derived from the ISO definition of UX plus the components from other UX models identified in the literature that could be useful to RHIS users. A case study was conducted to confront the theory embedded within the Proposed UX Model with the real-world experiences and needs of health managers. Fifteen health managers were interviewed and observed within their context of decision-making. Interviews were transcribed and thematic analysis undertaken to identify potential changes to the Proposed UX Model. A focus group discussion was held with a smaller group of health managers from the case study to refine the Proposed UX Model considering the findings of the policy landscape overview and case study findings. A Refined UX Model that was submitted to external subject-matter experts for evaluation in terms of its usefulness. A Final UX Model for RHIS DataViz. resulted from the suggestions of the subject matter experts. The UX Model for RHIZ DataViz illustrates that purposeful storytelling of RHIS data content would be an important determining factor of UX. However, DataViz. designers should be mindful of the cognitive load placed on health managers, as well as the range of contextual factors that may influence managers’ UX. The usefulness of the model was illustrated through the development of an interview guide for UX practitioners and business analysts’ use when exploring health manager RHIS DataViz. requirements. While multi-method study was rooted within the design science research paradigm with an iterative approach to the development of a UX conceptual model as the research output artefact, this research demonstrated the agility of public health medicine in using newer research methods for problem solving. AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar. Doctorate 2023-01-13T10:36:13Z 2023-08-30T13:05:12Z 2023-03 2023-01-13T10:36:13Z 2023-08-31T09:18:28Z 2023-01-13T10:36:13Z 2023-08-31T09:18:28Z 2023-03 Thesis https://scholar.sun.ac.za/handle/10019.1/128355 en_ZA Stellenbosch University application/pdf xxvi, 264 pages : illustrations application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Medical records -- Data processing Medical informatics Management information systems Quantitative research -- Medicine UCTD Dyers, Robin Edgar A user experience conceptual model for the visualisation of routine health information system data for managerial decision support |
| title | A user experience conceptual model for the visualisation of routine health information system data for managerial decision support |
| title_full | A user experience conceptual model for the visualisation of routine health information system data for managerial decision support |
| title_fullStr | A user experience conceptual model for the visualisation of routine health information system data for managerial decision support |
| title_full_unstemmed | A user experience conceptual model for the visualisation of routine health information system data for managerial decision support |
| title_short | A user experience conceptual model for the visualisation of routine health information system data for managerial decision support |
| title_sort | user experience conceptual model for the visualisation of routine health information system data for managerial decision support |
| topic | Medical records -- Data processing Medical informatics Management information systems Quantitative research -- Medicine UCTD |
| url | https://scholar.sun.ac.za/handle/10019.1/128355 |
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