References
- Murphy SL, Kochanek KD, Xu J, Elizabeth A. Mortality in the United States, 2020. https://www.cdc.gov/nchs/products/databriefs/db427.htm. Published December 2021. Accessed February 10, 2022.
- Kidney disease: the basics. National Kidney Foundation. https://www.kidney.org/news/newsroom/fsindex. Published May 24, 2022. Accessed February 10, 2022.
- United States Renal Data System. 2020 USRDS Annual data report: epidemiology of kidney disease in the United States. https://adr.usrds.org/2020. Published 2020. Accessed February 10, 2022.
- Kidney disease mortality by state. cdc.gov. https://www.cdc.gov/nchs/pressroom/sosmap/kidney_disease_mortality/kidney_disease.htm. Published March 1, 2022. Accessed October 3, 2022.
- U.S. Census Bureau QuickFacts: Detroit City, Michigan. United State Census Bureau. https://www.census.gov/quickfacts/fact/table/detroitcitymichigan/PST045221. Accessed April 13, 2022.
- Kidney disease crude mortality rates by county of residence, State of Michigan, Michigan Counties, and Detroit City, 1980 - 2020. Michigan.gov. https://www.mdch.state.mi.us/osr/deaths/KidneyCrudeRatesTrends.asp. Published 2021. Accessed September 28, 2022.
- Age-adjusted mortality rates for ten leading cause by race and sex Michigan 2020. vitalstats.gov. https://vitalstats.michigan.gov/osr/deaths/causRSrtcnty.asp. Published November 08, 2021. Accessed September 28, 2022.
- Tsai YC, Wang SL, Tsai HJ, et al. The interaction between self-care behavior and disease knowledge on the decline in renal function in chronic kidney disease. Sci Rep. 2021;11(1):401. doi:10.1038/s41598-020-79873-z.
- Clarke AL, Yates T, Smith AC, Chilcot J. Patient’s perceptions of chronic kidney disease and their association with psychosocial and clinical outcomes: a narrative review. Clin Kidney J. 2016;9(3):494–502. doi:10.1093/ckj/sfw014.
- Ng JH, Vialet J, Diefenbach MA. Illness perception in patients with chronic kidney disease and kidney failure: a scoping review protocol. BMJ Open. 2021;11(2):e042298. doi:10.1136/bmjopen-2020-042298.
- Li PK, Garcia-Garcia G, Lui SF, et al. Kidney health for everyone everywhere - from prevention to detection and equitable access to care. Clin Nephrol. 2020;93(3):111–122. doi:10.5414/CNWKDEditorial.
- Chronic kidney disease prevention strategy in Michigan 2021-2026. Michigan.gov. https://www.michigan.gov/mdhhs/-/media/Project/Websites/mdhhs/Folder4/Folder25/Folder3/Folder125/Folder2/Folder225/Folder1/Folder325/Michigan-CKD-Plan-2021-2026.pdf?rev=ff29d8754fc0477d91a432ae7415c365&hash=72B0F89ED6FFE7B3D6ECAC249FBC248C. Published 2021. Accessed September 28, 2022.
- Champion V, Skinner CS. The health belief model. In: Glanz K, Rimer BK, Viswanath K, eds. Health Behavior and Education: Theory, Research, and Practice. San Francisco, CA: Jossey-Bass; 2008:46–49.
- Umeukeje EM, Wild MG, Maripuri S, et al. Black Americans’ perspectives of barriers and facilitators of community screening for kidney disease. Clin J Am Soc Nephrol. 2018;13(4):551–559. doi:10.2215/CJN.07580717.
- Farmazi M, Shamsi M, Khorsandi M, et al. Predicting kidney care behaviors in patients with type 2 diabetes: an application of Health Belief Model. Int J Diabetes MetabDisord. 2022;7(2):165–171. doi:10.21203/rs.3.rs-757538/v1.
- Shen H, van der Kleij RMJJ, van der Boog PJM, et al. Patients’ and healthcare professionals’ beliefs, perceptions and needs towards chronic kidney disease self-management in China: a qualitative study. BMJ Open. 2021;11(3):e044059. doi:10.1136/bmjopen-2020-044059.
- Vart P, Powe NR, McCulloch CE, et al. National trends in the prevalence of chronic kidney disease among racial/ethnic and socioeconomic status groups, 1988-2016. JAMA Netw Open. 2020; 3(7):e207932. Published 2020 Jul 1. doi:10.1001/jamanetworkopen.2020.7932.
- Murphy D, McCulloch CE, Lin F, et al. Trends in prevalence of chronic kidney disease in the United States. Ann Intern Med. 2016;165(7):473–481. doi:10.7326/M16-0273.
- Wright JA, Wallston KA, Elasy TA, Ikizler TA, Cavanaugh KL. Development and results of a kidney disease knowledge survey given to patients with CKD. Am J Kidney Dis. 2011;57(3):387–395. doi:10.1053/j.ajkd.2010.09.018.
- United States Census Bureau. American community survey age and sex. https://data.census.gov/cedsci/table?q=detroit%20population%202019&tid=ACSST1Y2019.S0101. Published 2019. Accessed September 28, 2022.
- Sample size calculator. SurveyMonkey.com. https://www.surveymonkey.com/mp/sample-size-calculator/. Accessed April 13, 2019.
- United States Census Bureau. American community survey types of computers and internet subscriptions. Census.gov. https://data.census.gov/cedsci/table?q=internet%20in%20detroit%202018&tid=ACSST1Y2018.S2801. Published 2018. Accessed September 28, 2022.
- United States Census Bureau. American community survey household size by vehicle available. Census.gov. https://data.census.gov/cedsci/table?q=transportation%20in%20detroit%202018&tid=ACSDT1Y2018.B08201. Published 2018. Accessed September 28, 2022.
- Lee J, Vojnovic I, Grady SC. The ‘transportation disadvantaged’: urban form, gender and automobile versus non-automobile travel in the Detroit region. Urban Stud. 2018;55(11):2470–2498. doi:10.1177/0042098017730521.
- Snow J, Mann M. Qualtrics Survey Software: Handbook for Research Professionals. Provo, UT: Qualtrics Labs, Inc; 2013.
- Khalil A, Abdalrahim M. Knowledge, attitudes, and practices towards prevention and early detection of chronic kidney disease. Int Nurs Rev. 2014;61(2):237–245. doi:10.1111/inr.12085.
- Bang H, Vupputuri S, Shoham DA, et al. Screening for Occult Renal Disease (SCORED): a simple prediction model for chronic kidney disease. Arch Intern Med. 2007;167(4):374–381. doi:10.1001/archinte.167.4.374.
- BRFSS Questionnaire. cdc.gov. https://www.cdc.gov/brfss/questionnaires/index.htm. Published August 24,2022. Accessed September 28, 2022.
- StataCorp. Stata statistical software: release 17. StataCorp LLC; 2021.
- Kazley AS, Johnson E, Simpson K, Chavin K, Baliga P. African American patient knowledge of kidney disease: a qualitative study of those with advanced chronic kidney disease. Chronic Illn. 2015;11(4):245–255. doi:10.1177/1742395314556658.
- Chow WL, Joshi VD, Tin AS, et al. Limited knowledge of chronic kidney disease among primary care patients–a cross-sectional survey. BMC Nephrol. 2012;13(1):54. doi:10.1186/1471-2369-13-54.
- Thio CHL, Vart P, Kieneker LM, Snieder H, Gansevoort RT, Bültmann U. Educational level and risk of chronic kidney disease: longitudinal data from the PREVEND study. Nephrol Dial Transplant. 2020;35(7):1211–1218. doi:10.1093/ndt/gfy361.
- Okoro RN, Ummate I, Ohieku JD, Yakubu S, Adibe MO, Okonta MJ. Kidney disease knowledge and its determinants among patients with chronic kidney disease. J Patient Exp. 2020;7(6):1303–1309. doi:10.1177/2374373520967800.
- Dageforde LA, Cavanaugh KL. Health literacy: emerging evidence and applications in kidney disease care. Adv Chronic Kidney Dis. 2013;20(4):311–319. doi:10.1053/j.ackd.2013.04.005.
- Roomizadeh P, Taheri D, Abedini A, et al. Limited knowledge of chronic kidney disease and its main risk factors among Iranian community: an appeal for promoting national public health education programs. Int J Health Policy Manag. 2014;2(4):161–166. doi:10.15171/ijhpm.2014.37.
- Gheewala PA, Peterson GM, Zaidi STR, Jose MD, Castelino RL. Public knowledge of chronic kidney disease evaluated using a validated questionnaire: a cross-sectional study. BMC Public Health. 2018;18(1):371. doi:10.1186/s12889-018-5301-4.
- Tegegne B, Demeke T, Amme S, Edmealem A, Ademe S. Knowledge towards prevention and early detection of chronic kidney disease and associated factors among hypertensive patients at a chronic illness clinic of Jimma town public hospitals. Biomed Res Int. 2020;2020:5969326. doi:10.1155/2020/5969326.
- Sa’adeh HH, Darwazeh RN, Khalil AA, Zyoud SH. *Knowledge, attitudes and practices of hypertensive patients towards prevention and early detection of chronic kidney disease: a cross sectional study from Palestine. Clin Hypertens. 2018;24(1):6. doi:10.1186/s40885-018-0091-7.
- Alobaidi S. Knowledge of chronic kidney disease among the population of Saudi Arabia evaluated using a validated questionnaire: a cross-sectional study. Patient Prefer Adherence. 2021;15:1281–1288. doi:10.2147/PPA.S315369.
- Areas of responsibility, competencies, and sub-competencies for health education specialist practice analysis II 2020 (HESPA II 2020). nchec.org. https://assets.speakcdn.com/assets/2251/hespa_competencies_and_sub-competencies_052020.pdf. Published January 2020. Accessed September 27, 2022.