IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i10p5887-d1151225.html
   My bibliography  Save this article

Self-Management of Diabetes and Associated Factors among Patients Seeking Chronic Care in Tshwane, South Africa: A Facility-Based Study

Author

Listed:
  • Janke Zwane

    (Department of Public Health, School of Health Care Sciences, Sefako Makgatho Health Sciences University, 1 Molotlegi Street, Ga-Rankuwa 0208, South Africa)

  • Perpetua Modjadji

    (Department of Public Health, School of Health Care Sciences, Sefako Makgatho Health Sciences University, 1 Molotlegi Street, Ga-Rankuwa 0208, South Africa
    Non-Communicable Disease Research Unit, South African Medical Research Council, Tygerberg 7505, South Africa)

  • Sphiwe Madiba

    (Faculty of Health Sciences, University of Limpopo, Polokwane 0700, South Africa)

  • Lucky Moropeng

    (Faculty of Health Sciences, School of Health Systems and Public Health Care Sciences, University of Pretoria, 31 Bophelo Road, Gezina 0031, South Africa)

  • Kabelo Mokgalaboni

    (Department of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Florida 1710, South Africa)

  • Peter Modupi Mphekgwana

    (Research Administration and Development, University of Limpopo, Polokwane 0700, South Africa)

  • Andre Pascal Kengne

    (Non-Communicable Disease Research Unit, South African Medical Research Council, Tygerberg 7505, South Africa)

  • Zandile June-Rose Mchiza

    (Non-Communicable Disease Research Unit, South African Medical Research Council, Tygerberg 7505, South Africa)

Abstract

The burden of diabetes continues to increase in South Africa and a significant number of diabetes patients present at public primary healthcare facilities with uncontrolled glucose. We conducted a facility-based cross-sectional study to determine the diabetes self-management practices and associated factors among out-patients in Tshwane, South Africa. An adapted validated questionnaire was used to collect data on sociodemography, diabetes knowledge, and summaries of diabetes self-management activities measured in the previous seven days, and over the last eight weeks. Data were analysed using STATA 17. A final sample of 402 diabetes out-patients was obtained (mean age: 43 ± 12 years) and over half of them were living in poor households. The mean total diabetes self-management of score was 41.5 ± 8.2, with a range of 21 to 71. Almost two thirds of patients had average self-management of diabetes, and 55% had average diabetes knowledge. Twenty-two percent of patients had uncontrolled glucose, hypertension (24%) was the common comorbidity, and diabetic neuropathy (22%) was the most common complication. Sex [male: AOR = 0.55, 95% CI: 0.34–0.90], race [Coloured: AOR = 2.84, 95% CI: 1.69–4.77 and White: AOR = 3.84, 95% CI: 1.46–10.1], marital status [divorced: AOR = 3.41, 95% CI: 1.13–10.29], social support [average: AOR = 2.51, 95% CI: 1.05–6.00 and good: AOR = 4.49, 95% CI: 1.61–7.57], body mass index [obesity: AOR = 0.31, 95% CI: 0.10–0.95], diabetes knowledge [average: AOR = 0.58, 95% CI: 0.33–0.10 and good: AOR = 1.86, 95% CI: 0.71–4.91], and uncontrolled glucose [AOR = 2.97, 95% CI: 1.47–5.98] were factors independently predictive of diabetes self-management. This study emphasizes that the self-management of diabetes was mostly on average among patients and was associated with the aforementioned factors. Innovative approaches are perhaps needed to make diabetes education more effective. Face-to-face sessions delivered generally during clinic visits should be better tailored to the individual circumstances of diabetes patients. Considerations should be given to the options of leveraging information technology to ensure the continuity of diabetes education beyond clinic visits. Additional effort is also needed to meet the self-care needs of all patients.

Suggested Citation

  • Janke Zwane & Perpetua Modjadji & Sphiwe Madiba & Lucky Moropeng & Kabelo Mokgalaboni & Peter Modupi Mphekgwana & Andre Pascal Kengne & Zandile June-Rose Mchiza, 2023. "Self-Management of Diabetes and Associated Factors among Patients Seeking Chronic Care in Tshwane, South Africa: A Facility-Based Study," IJERPH, MDPI, vol. 20(10), pages 1-21, May.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:10:p:5887-:d:1151225
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/10/5887/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/10/5887/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peter M. Mphekgwana & Nancy Malema & Kotsedi D. Monyeki & Tebogo M. Mothiba & Mpsanyana Makgahlela & Nancy Kgatla & Irene Makgato & Tholene Sodi, 2020. "Hypertension Prevalence and Determinants among Black South African Adults in Semi-Urban and Rural Areas," IJERPH, MDPI, vol. 17(20), pages 1-12, October.
    2. Umberson, Debra, 1992. "Gender, marital status and the social control of health behavior," Social Science & Medicine, Elsevier, vol. 34(8), pages 907-917, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. G. Miller & Yuriy Pylypchuk, 2014. "Marital Status, Spousal Characteristics, and the Use of Preventive Care," Journal of Family and Economic Issues, Springer, vol. 35(3), pages 323-338, September.
    2. Subramanian, S.V. & Elwert, Felix & Christakis, Nicholas, 2008. "Widowhood and mortality among the elderly: The modifying role of neighborhood concentration of widowed individuals," Social Science & Medicine, Elsevier, vol. 66(4), pages 873-884, February.
    3. Pollitt, Amanda M. & Donnelly, Rachel & Mernitz, Sara E. & Umberson, Debra, 2020. "Differences in how spouses influence each other's alcohol use in same- and different-sex marriages: A daily diary study," Social Science & Medicine, Elsevier, vol. 264(C).
    4. Missinne, Sarah & Colman, Elien & Bracke, Piet, 2013. "Spousal influence on mammography screening: A life course perspective," Social Science & Medicine, Elsevier, vol. 98(C), pages 63-70.
    5. Camila Maciel de Oliveira & Luciane Viater Tureck & Danilo Alvares & Chunyu Liu & Andrea Roseli Vançan Russo Horimoto & Mercedes Balcells & Rafael de Oliveira Alvim & José Eduardo Krieger & Alexandre , 2020. "Relationship between marital status and incidence of type 2 diabetes mellitus in a Brazilian rural population: The Baependi Heart Study," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-10, August.
    6. Molly A. Martin & Margaret Gough Courtney & Adam M. Lippert, 2022. "The Risks and Consequences of Skipping Meals for Low-Income Mothers," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(6), pages 2613-2644, December.
    7. Borau, Sylvie & Couprie, Hélène & Hopfensitz, Astrid, 2022. "The prosociality of married people: Evidence from a large multinational sample," Journal of Economic Psychology, Elsevier, vol. 92(C).
    8. Espinosa, Javier & Evans, William N., 2008. "Heightened mortality after the death of a spouse: Marriage protection or marriage selection?," Journal of Health Economics, Elsevier, vol. 27(5), pages 1326-1342, September.
    9. Kazuma Sato, 2021. "Relationship between marital status and body mass index in Japan," Review of Economics of the Household, Springer, vol. 19(3), pages 813-841, September.
    10. Ribar, David C., 2004. "What Do Social Scientists Know About the Benefits of Marriage? A Review of Quantitative Methodologies," IZA Discussion Papers 998, Institute of Labor Economics (IZA).
    11. Huijun Liu & Shuzhuo Li & Qunying Xiao & M. Feldman, 2014. "Social Support and Psychological Well-Being Under Social Change in Urban and Rural China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 979-996, November.
    12. Chun, Heeran & Khang, Young-Ho & Kim, Il-Ho & Cho, Sung-Il, 2008. "Explaining gender differences in ill-health in South Korea: The roles of socio-structural, psychosocial, and behavioral factors," Social Science & Medicine, Elsevier, vol. 67(6), pages 988-1001, September.
    13. Goldman, Alyssa W. & Cornwell, Benjamin, 2015. "Social network bridging potential and the use of complementary and alternative medicine in later life," Social Science & Medicine, Elsevier, vol. 140(C), pages 69-80.
    14. Rong Fu & Haruko Noguchi, 2018. "Does the positive relationship between health and marriage reflect protection or selection? Evidence from middle-aged and elderly Japanese," Review of Economics of the Household, Springer, vol. 16(4), pages 1003-1016, December.
    15. Jolidon, Vladimir, 2022. "Gender inequality and mammography screening: Does living with a partner improve women's mammography uptake?," Social Science & Medicine, Elsevier, vol. 298(C).
    16. Wilson, Sven E., 2012. "Marriage, gender and obesity in later life," Economics & Human Biology, Elsevier, vol. 10(4), pages 431-453.
    17. Donrovich, Robyn & Drefahl, Sven & Koupil, Ilona, 2014. "Early life conditions, partnership histories, and mortality risk for Swedish men and women born 1915–1929," Social Science & Medicine, Elsevier, vol. 108(C), pages 60-67.
    18. Meyler, Deanna & Stimpson, Jim P. & Peek, M. Kristen, 2007. "Health concordance within couples: A systematic review," Social Science & Medicine, Elsevier, vol. 64(11), pages 2297-2310, June.
    19. Mikko Laaksonen & Eero Lahelma & Ritva Prättälä, 2002. "Associations among health-related behaviours: Sociodemographic variation in Finland," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 47(4), pages 225-232, July.
    20. Latif, Ehsan, 2014. "The impact of recession on drinking and smoking behaviours in Canada," Economic Modelling, Elsevier, vol. 42(C), pages 43-56.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:10:p:5887-:d:1151225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.