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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | van Zyl, Beulah Christina Barnard, Michelle Monique Cloete, Keith Fernandez, Amanda Mukosi, Matodzi Pitcher, Richard Denys |
| Abstract | Background The reduction of inequality is a key United Nations 2030 Sustainable Development Goal (WHO, Human Resources for Health: foundation for Universal Health Coverage and the post-2015 development agenda, 2014; Transforming our world: the 2030 Agenda for Sustainable Development .:. Sustainable Development Knowledge Platform, 2020). Despite marked disparities in radiological services globally, particularly between metropolitan and rural populations in low- and middle-income countries, there has been little work on imaging resources and utilization patterns in any setting (Transforming our world: the 2030 Agenda for Sustainable Development .:. Sustainable Development Knowledge Platform, 2020; WHO, Local Production and Technology Transfer to Increase Access to Medical Devices, 2019; European Society of Radiology (ESR), Insights Imaging 6:573-7, 2015; Maboreke et al., An audit of licensed Zimbabwean radiology equipment resources as a measure of healthcare access and equity, 2020; Kabongo et al., Pan Afr Med J 22, 2015; Skedgel et al., Med Decis Making 35:94-105, 2015; Mollura et al., J Am Coll Radiol 913-9, 2014; Culp et al., J Am Coll Radiol 12:475-80, 2015; Mbewe et al., An audit of licenced Zambian diagnostic imaging equipment and personnel, 2020). To achieve equity, a better understanding of the integral components of the so called “imaging enterprise” is important. The aim was to analyse a provincial radiological service in a middle-income country. Methods An institutional review board-approved retrospective audit of radiological data for the public healthcare sector of the Western Cape Province of South Africa for 2017, utilizing provincial databases. We conducted population-based analyses of imaging equipment, personnel, and service utilization data for the whole province, the metropolitan and the rural areas. Results Metropolitan population density exceeds rural by a factor of ninety (1682 vs 19 people/km2). Rural imaging facilities by population are double the metropolitan (20 vs 11/106 people). Metropolitan imaging personnel by population (112 vs 53/106 people) and equipment unit (1.7 vs 0.7/unit) are more than double the rural. Overall population-based utilization of imaging services was 30% higher in the metropole (289 vs 214 studies/103 people), with mammography (24 vs 5 studies/103 woman > 40 years) and CT (21 vs 6/103 people) recording the highest, and plain radiography (203 vs 171/103 people) the lowest differences. Conclusion Despite attempts to achieve imaging equity through the provision of increased facilities/million people in the rural areas, differential utilization patterns persist. The achievement of equity must be seen as a process involving incremental improvements and iterative analyses that define progress towards the goal. |
| Related Links | https://bmchealthservres.biomedcentral.com/counter/pdf/10.1186/s12913-021-06997-x.pdf |
| Ending Page | 10 |
| Page Count | 10 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14726963 |
| DOI | 10.1186/s12913-021-06997-x |
| Journal | BMC Health Services Research |
| Issue Number | 1 |
| Volume Number | 21 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2021-09-20 |
| Access Restriction | Open |
| Subject Keyword | Public Health Health Administration Health Informatics Nursing Research Radiology resource utilization Equity Universal health coverage MIC |
| Content Type | Text |
| Resource Type | Article |
| Subject | Health Policy |
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