Factors affect Chronic Kidney Disease in Gezira Region of Sudan

Arabi, Khalafalla and Shaaeldeen, Fathelraman (2021): Factors affect Chronic Kidney Disease in Gezira Region of Sudan.

Abstract

The goal of this study is to explore the factors that affect kidney disease patients in Sudan's Gezira region. A sample of 240 patients and control group members was drawn. Cox regression was used in Stata 16 to determine the factors that cause the time lag between diagnosis and first dialysis, as well as the factors that prolong the duration of patients' conditions. The majority of the factors in the first model are disease-related, such as symptoms, blood in the urine, infection in the urine, regular diagnosis, urethra, dialysis availability, as well as income, and moving to the hospital. Factors that prolong the duration of illness are more closely related to the patients' behavior, which is the age of the patient, the conduct of social work, how to reach the hospital, punctual taking of medications, adequate income, the cost, and availability of dialysis. The policy implications of the findings are how to strengthen the healthcare system and how to educate patients on the proper ways to deal with the disease.

• Item Type: MPRA Paper
• Language: English
• Keywords: disease-related factors, patients' behavior, economic factors, time lag, duration
• Subjects: C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C41 - Duration Analysis ; Optimal Timing Strategies

References

Altelbani, Shadi Ismeal (2015) Use of Logistics Regression and Cox Regression to study Factors affecting Infant Mortality in Palestine. Alazhar University http://dspace.up.edu.ps/jspui/bitstream/123456789/119/1 Alnilin cite https://www.alnilin.com/159431.htm

Arabi, Khalafalla A, M, and Elhassan, Abdelrahmman M (2013) Suffering of kidney failure Patients treated at Hussein Abdalazeez Center for Renal Dialysis and Surgery, Arab Geographic, Issue 29.

Bikair, Ezzeldeen Eisa Ramadan (215) Using Statistical Methods to Study the Determinants of Marital Status for Women in Palestine "Comparative Applied Study" Islamic University Gaza MSc. http://webcache.googleusercontent.com/search?q=cache:nGV4iENc_IwJ:www.alazhar.edu.ps/Library/aattachedFile.asp%3Fid_no%3D0048162+&cd=1&hl=ar&ct=clnk&gl=sa

Hassan, R. F., and Salih, A. H. (2014) Cox-regression Model used for Survival Times for Patients with Brain Cancer in Iraq Journal of AlRafidain University College Issue 34 pp 40 – 61.

Huwail, Murtada Farhan (2018) Using Cox Regression Model (COX) and The Kaplan-Meier Method to Study Survival Data University of Karbala, Iraq MSc. https://www.researchgate.net/profile/Shrook-Alsabah/publication

Koletsia, Despina and Pandis, Nikolaos (2017) Survival Analysis: part3 Cox Regression: https://www.researchgate.net/publication/320828902 Lartey, David Emmanuel (2018) Application of the Cox Regression Model to Estimate Dropout Rate in Introductory Statistics MSc. https://math.montana.edu/grad_students/writing-projects/2018/DavidLartey.pdf

Mild, Saja Milad Ibrahim (2018) Cox Regression with SPSS Application Sabha University Libya http://dspace.sebhau.edu.ly/bitstream/handle/1/1148/%D8%B3%D8%AC%D9%89%20%D9%85%D9%8A%D9%84%D8%A7%D8%AF.pdf?sequence=1&isAllowed=y

Mohamed, A. A. Ahmed, A. H. Yusuf, A. A (2016) Estimating of survival models depending on the distribution of the survival time the University of Sudan for Science and Technology http://repository.sustech.edu/bitstream/handle/123456789/17235

Osman, E M, Abboud O I, and Danielson B G (1987) Chronic renal failure in Khartoum, Sudan National Library of Medicine https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258203/

Radiaan, Hayat Saeed (2016) Estimating and analyzing Factors affect Survival Time via Cox Regression MSc. AlMansoura University http://main.eulc.edu.eg/eulc_v5/Libraries/Thesis/BrowseThesisPages.aspx?fn=PublicDrawThesis&BibID=12301534

Smith, Tyler; Smith Besa; and Ryan, Margaret AK (1999) Survival Analysis Using Cox Proportional Hazards Modeling For Single And Multiple Event Time Data Paper 254 – 28 http://www.ms.uky.edu/~mai/sta635/sugi254-28.pdf

Stevenson, Mark (2007) An Introduction to Survival Analysis Epi Centre, IVABS, Massey University http://www.massey.ac.nz/massey/fms/Colleges/College%20of%20Sciences/Epicenter/docs/ASVCS/Stevenson_survival_analysis_195_721.pdf

Zaid, Afnan Mohammad Mahmoud (2014) The Impact of Demographic and Socioeconomic Factors on Infant Mortality in Palestinian Territories based on Palestinian Household Survey Data 2010. Annajah University https://scholar.najah.edu/sites/default/files/Afnan%20Zaid.pdf.