Influence of Demographic Factors on Uptake of Diagnostic Imaging by Oncology Patients in South Rift Counties, Kenya

Authors

  • Lilian Muikamba Kenya Methodist University
  • Wanja Tenambergen Riara University
  • Lilian Muiruri Kenya Methodist University

Keywords:

Demographic factors, Uptake of Diagnostic Imaging, Oncology Patients, South Rift Counties, Kenya

Abstract

Purpose: To determine the influence of demographic factors on uptake of diagnostic imaging by oncology patients in South Rift Counties, Kenya.

Methodology: A cross-sectional research design was adopted when collecting data from 5 public hospitals in South Rift Counties. The study issued questionnaires to oncology patients and interviewed the rest of the respondents. A pre-test study was done at Texas Cancer Center in Nairobi County. Quantitative data was analyzed using descriptive statistics and binary logistic regression analysis. Qualitative results data was analyzed through thematic method.

Results: 74(25%) patients had 41-50 years and 65(22%) were 61-70 years. The least number of oncology patients who were 3(1%) and they were 18-20 years of age. Further, 264(89%) were married while 33(11%) were not married. Additionally, 182(61%) were male patients while 115(39%) were female patients. Additionally, 166(56%) had a tertiary level of education while 39(13%) had primary school qualifications. In addition, 203(68%) were Christians and 80(27%) were Muslims and only 5(2%) were not religious. Notably, 110(37%) of the patients had breast cancer while 77(26%) had colon cancer. The least group of patients who were 12(4%) had lung cancer. Additionally, most of healthcare workers who were 12(39%) had more than 50 years while 10(32%) had 41-50 years. However, 4(13%) had 18-30 years. Further, 18(58%) had a master’s degree while 5(16%) had a PhD. In addition, 17(55%) had more than 10 years of service while only 5(16%) had 5-7 years. The Chi-square result revealed that χ² (1, N = 297) = 461.599, p < 0.05. That is the Pearson Chi-Square was 461.599 at a p-value of 0.027.

Conclusion and Recommendations: Most patients that sought cancer diagnostic imaging were middle and old aged male people who were married. This meant that unmarried young female adults hardly sought imaging services. The most common cancer illnesses scanned were breast, colon, and cervical cancers. The study recommends that that the hospital management should provide more funding for sensitization programs to inform unmarried young people especially females to seek early diagnostic imaging services. This will enable them to ensure that no cancerous cells are growing to be discovered at a late stage for effective management.

Author Biographies

Lilian Muikamba, Kenya Methodist University

School of Medicine and Health Sciences

Lilian Muiruri, Kenya Methodist University

School of Medicine and Health Sciences

References

Adambounou, K., Ahonyi, K. A., Houndetoungan, G. D., Ouedraogo, H., Ntimon, B., Sodogas, F., & Adjenou, V. (2022). Knowledge and perception of nuclear medicine by radiologists in French-speaking sub-Saharan Africa. Asia Oceania Journal of Nuclear Medicine and Biology, 10(1), 68-77. https://doi.org/10.22038%2FAOJNMB.2021.56679.1392

Alberto, N.R.I., Alberto, I.S.I., Puyat, C.V.M., Antonio, M.A.R., Ho, F.D.V., Dee, E.C., Mahal, B.A., & Ealaa, M.A.B. (2023). Disparities in access to cancer diagnostics in ASEAN member countries. The Lancet Regional Health - Western Pacific, 32(100667), 1-7. https://doi.org/10.1016/j.lanwpc.2022.100667

Crumley, I., Halton, J., Greig, J., Kahunga, L., Mwanga, J. P., Chua, A., & Kosack, C. (2020). The impact of computed radiography and teleradiology on patients’ diagnosis and treatment in Mweso, the Democratic Republic of Congo. PloS one, 15(1), 1-12. https://doi.org/10.1371/journal.pone.0227773

Flores E, J.,Daye, D., Peña, M.A., Lopez., D.B.,Jaimes ,C., Glover, M.(2021). Analysis of socioeconomic and demographic factors and imaging exam characteristics associated with missed appointments in pediatric radiology. PubMed, 51(11):2083-2092. https://doi.org/ 10.1007/s00247-021-05111-x.

Gopika, M.G., Prabhu, P.R., Thulaseedharan, J.V. (2022). Status of cancer screening in India: An alarm signal from the National Family Health Survey (NFHS-5). Journal of Family Medicine & Primary Care, 11(11), 7303–7307. https://doi.org/10.4103/jfmpc.jfmpc_1140_22

Innovative for Cancer Care in Africa (2021). Access to cancer care in Kenya: Patients’, survivors’, caregivers’ and health providers’ perspectives. https://www5.open.ac.uk/research-projects/innovation-cancer-care-africa/publications/access-cancer-care-kenya

Kamita, M., Bird, P., Akinyi, B., Kamau, R.W., Carter, R., Muma, S., Adam, M., Makori, T., Figueroa, J.D., & Makokha, F. (2023). Cancer referrals at African Inland Church Kijabe Hospital, Kiambu County (2014–2020) and the impact of COVID-19. International Health, 15(5), 547–556. https://doi.org/10.1093/inthealth/ihad007

Kinahan, P. E., Perlman, E. S., Sunderland, J. J., Subramaniam, R., Wollenweber, S. D., Turkington, T. G., & Wahl, R. L. (2020). The QIBA profile for FDG PET/CT as an imaging biomarker measuring response to cancer therapy. Radiology, 294(3), 647-657. https://doi.org/10.1148/radiol.2019191882

Lehmann, J., Machira, Y. W., Schneidman, M., & Chuma, J. (2020). Economic and social consequences of cancer in Kenya. https://documents1.worldbank.org/curated/en/964571592290457869/pdf/Economic-and-Social-Consequences-of-Cancer-in-Kenya-Case-Studies-of-Selected-Households.pdf

Makau-Barasa, L.K., Greene, S., Othieno-Abinya, N.A., Wheeler, S.B., Skinner, A., & Bennett, A.V. (2020). A review of Kenya’s cancer policies to improve access to cancer testing and treatment in the country. Health Research Policy and Systems, 18(2), 1-10. https://doi.org/10.1186/s12961-019-0506-2

Mbugua, R.G., Oluchina, S. & Karanja, S. (2021). Prostate cancer awareness and screening among men in a rural community in Kenya: A cross-sectional study. African Journal of Urology, 27(7), 1-10. https://doi.org/10.1186/s12301-020-00108-8

Ministry of Health-Kenya (2023). The National Cancer Control Strategy (2023–2027). https://www.iccp-portal.org/system/files/plans/NATIONAL%20CANCER%20CONTROL%20STRATEGY%202023-2027_compressed.pdf

Ministry of Health. (2020). Assessment of demand versus supply of cancer services in Kenya insights from the Kenya Health Facility Assessment (KHFA) 2018/2019. https://www.countdown2030.org/wp-content/uploads/2023/02/Cancer-services.pdf

Mokua, G.M. (2022). Spectrum of cervical cancer among women screened for cervical cancer in Nakuru County Referral Hospital Laboratory, Kenya. American Journal of Clinical Pathology, 158(1), 88-98. https://doi.org/10.1093/ajcp/aqac126.184

National Cancer Institute (2023). The status of cancer report. http://www.parliament.go.ke/sites/default/files/2023-04/Report%20of%20the%20Auditor%20-%20General%20on%20National%20Cancer%20Institute%20of%20Kenya%20for%20the%20Year%20Ended%2030%20June%2C%202021_compressed.pdf

Ng, C.G., Manan, H.A., Zaki, F.M., & Zakaria, R. A. (2022). Survey of awareness of parents and caretakers on diagnostic radiological examination related radiation exposure in a tertiary hospital in Malaysia. International Journal of Environmental Research & Public Health, 19(3898), 1-9. https://doi.org/ 10.3390/ijerph19073898

Ngetich, R., Mbeke, A.M., & Kamanyi, K. (2021). Demographic factors associated with uptake of cervical cancer screening among HIV/AIDS patients in Nandi County, Kenya. International Journal of Medicine & Public Health, 11(4), 190-194. https://www.cabidigitallibrary.org/doi/pdf/10.5555/20220084136

Nikmard, F., Tavassoli, K., & Pourdana, N. (2023). Designing and validating a scale for evaluating the sources of unreliability of a high-stakes test. Language Testing in Asia, 13(2), 1-19. https://doi.org/10.1186/s40468-023-00215-7

Nja, G., Okwaliwe, G. Ibor, G.O, Ogunkola, I.O., Okoroiwu, H.U., Ejemot, N.R.I., Lucero,P.I.D.(2022). Socio-demographic determinants of mammography uptake among women of 40 years and above in Calabar, South-South, Nigeria: a cross-sectional study. Pan African Medical Jornal43(76),1-13. https://doi.org 0.11604/pamj.2022.43.76.32683

Njeru, M.K., Cross, C., Nyandieka, L., Wanjala, C., Mokua, S.N., Mutisya, R., Manduku, V., Mackintosh, M. (2021) Access to cancer care in Kenya: Patients', survivors', caregivers' and health providers' perspectives. ICCA and KEMRI Working Paper. https://www5.open.ac.uk/research-projects/innovation-cancer-care-africa/publications/access-cancer-care-kenya

Waite, S., Scott, J., & Colombo, D. (2021). Narrowing the gap: Imaging disparities radiology. Radiology, 299(1), 27-35. https://doi.org/10.1148/radiol.2021203742.

West, B.T., Zhang, S., Wagner, J., Gatward, R., Saw, H.W., & Axinn, W.G. (2023). Methods for improving participation rates in national self-administered web/mail surveys: Evidence from the United States. PLoS One, 18(8), 1-10. https://doi.org/10.1371%2Fjournal.pone.0289695

World Health Organization (2021b). Cancer on the global stage: Incidence and cancer-related mortality in Kenya. https://ascopost.com/issues/february-25-2021/cancer-on-the-global-stage-incidence-and-cancer-related-mortality-in-kenya/

World Bank Group (2020). Economic and social consequences of cancer in Kenya case studies of selected households. https://documents1.worldbank.org/curated/en/964571592290457869/pdf/Economic-and-Social-Consequences-of-Cancer-in-Kenya-Case-Studies-of-Selected-Households.pdf

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Published

2024-08-28

How to Cite

Muikamba, L. ., Tenambergen, W. ., & Muiruri, L. . (2024). Influence of Demographic Factors on Uptake of Diagnostic Imaging by Oncology Patients in South Rift Counties, Kenya. Journal of Medicine, Nursing and Public Health, 4(3), 23–34. Retrieved from https://edinburgjournals.org/journals/index.php/journal-of-medicine-nursing/article/view/335

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