Cost of Hypertension Illness and Associated Factors Among Patients Attending Hospitals in Southwest Shewa Zone, Oromia Regional State, Ethiopia

References

• American College of Cardiology. Guideline for the prevention, detection, evaluation, and management of high blood pressure in adults. Report No.: 23976; 2017. Available from: https://www.acc.org/~/media/Non-Clinical/Files-PDFs-Excel-MS-Word-etc/Guidelines/2017/Guidelines_Made_Simple_2017_HBP.pdf. Accessed March 25, 2020.
   Google Scholar
• World Health Organization. Hypertension: key facts; 2019. Available from: https://www.who.int/news-room/fact-sheets/detail/hypertension. Accessed March 25, 2020.
   Google Scholar
• World Health Organization. A global brief on hypertension: silent killer, global public health crisis. world health day 2013; 2013. Available from: https://ish-world.com/downloads/pdf/global_brief_hypertension.pdf. Accessed March 25, 2020.
   Google Scholar
• Campbell N, Lackland D, Niebylski M. High blood pressure: why prevention and control are urgent and important. a 2014 fact sheet from the world hypertension league and the international society of hypertension. increased blood pressure is the leading risk factor for death and for disability. Int Soc Hypertens. 2014;1:5.
   Google Scholar
• IFPMA. Hypertension: putting the pressure on the silent killer. May; 2016:21. Available from: https://www.ifpma.org/resource-centre/hypertension-putting-the-pressure-on-the-silent-killer/. Accessed March 25, 2020.
   Google Scholar
• World Health Organization. Hypertension: key facts. Available from: https://www.who.int/news-room/fact-sheets/detail/hypertension. Accessed March 25, 2020.
   Google Scholar
• Salem H, Hasan DM, Eameash A, El-Mageed HA, Hasan S, Ali R. Worldwide prevalence of hypertension: a pooled meta-analysis of 1670 studies in 71 countries with 29.5 million participants. J Am Coll Cardiol. 2018;71(11):A1819. doi:10.1016/S0735-1097(18)32360-X.
   Web of Science ®Google Scholar
• Misganaw A, Mariam DH, Ali A, Araya T. Epidemiology of major non-communicable diseases in Ethiopia: a systematic review. J Health Popul Nutr. 2014;32(1):1–13.
   PubMed Web of Science ®Google Scholar
• Roba HS, Beyene AS, Mengesha MM, Ayele BH. Prevalence of hypertension and associated factors in Dire Dawa city, Eastern Ethiopia: a community-based cross-sectional study. Hindawi Intl J Hypertension. 2019;2019:1–9. doi:10.1155/2019/9878437
   Web of Science ®Google Scholar
• Belachew A, Tewabe T, Miskir Y, et al. Prevalence and associated factors of hypertension among adult patients in Felege-hiwot comprehensive referral hospitals, Northwest, Ethiopia: a cross-sectional study. BMC Res Notes. 2018;11(1):876. doi:10.1186/s13104-018-3986-1.
   Google Scholar
• Abebe S, Yallew WW. Prevalence of hypertension among adult outpatient clients in hospitals and its associated factors in Addis Ababa, Ethiopia: a hospital based cross ‑ sectional study. BMC Res Notes. 2019(12):87. doi:10.1186/s13104-019-4127-1.
   Web of Science ®Google Scholar
• Abebe SM, Berhane Y, Worku A, Getachew A. Prevalence and associated factors of hypertension: a crossectional community based study in Northwest Ethiopia. PLoS One. 2015;10(4):1–11. doi:10.1371/journal.pone.0125210
   Web of Science ®Google Scholar
• Kibret KT, Mesfin YM. Prevalence of hypertension in Ethiopia: a systematic meta-analysis. Public Health Rev. 2015;36(1):14. doi:10.1186/s40985-015-0014-z.
   PubMedGoogle Scholar
• World Health Organization. Age adjusted death rate estimate. the health profile of Ethiopia; 2017. Accessed from: https://www.worldlifeexpectancy.com/country-health-profile/ethiopia. Accessed March 25, 2020.
   Google Scholar
• Misganaw A, Haregu TN, Deribe K, Tessema GA, Deribew A. National mortality burden due to communicable, non-communicable, and other diseases in Ethiopia, 1990 – 2015: findings from the global burden of disease study 2015. Popul Health Metr. 2017;15(1):29. doi:10.1186/s12963-017-0145-1.
   PubMed Web of Science ®Google Scholar
• GAVI CSO Project fact sheet. What are the health system building blocks ? 2013. Available from: https://hssfactsheets.weebly.com/uploads/4/8/1/1/48110245/gavi_cso_fact_sheet_no_5_building_blocks.pdf. Accessed March 26, 2020.
   Google Scholar
• Murray C, Frenk J A WHO framework for health system performance assessment. Evidence and Information for policy. World Health Organization. Available from: https://www.researchgate.net/publication/12402824_A_WHO_Framework_for_Health_System_Performance_Assessment. Accessed March 25, 2020.
   Google Scholar
• Nguyen TB, Nguyen TT, Le HH. Direct costs of hypertensive patients admitted to hospital in Vietnam – a bottom-up micro-costing analysis. BMC Health Serv Res. 2014;14(1):514. doi:10.1186/s12913-014-0514-4
   Web of Science ®Google Scholar
• Alefan Q, Ibrahim MIM, Razak TA, Ayub A. Cost of treating hypertension in Malaysia. Asian J Pharm Clin Res. 2009;2(1):1–5.
   Google Scholar
• Njoroge M, Nguhiu P, Oyando R, et al. Patient costs of hypertension care in public health care facilities in Kenya. Int J Health Plann Manag. 2019;34:e1166–e1178.
   Web of Science ®Google Scholar
• Wagner AK, Valera M, Graves AJ, Laviña S, Ross-degnan D. Costs of hospital care for hypertension in an insured population without an outpatient medicines benefit: an observational study in the Philippines. BMC Health Serv Res. 2008;8(1):161. doi:10.1186/1472-6963-8-161
   Web of Science ®Google Scholar
• Baker-goering MM, Roy K, Howard DH. Relationship between adherence to antihypertensive medication regimen and out- of-pocket costs among people aged 35 to 64 with employer-sponsored health insurance. Public Health Res Pract Policy. 2019;16:180381.
   Google Scholar
• Bedane SN. Out of pocket expenditures among hypertensive patients and their households who visit public hospitals in Addis Ababa, Ethiopia, 2016. Health Econ Outcome Res Open Access. 2018;4(1):1–7.
   Google Scholar
• Dhar M, Binu V, Mayya S. Some basic aspects of statistical methods and sample size determination in health science research. Int Q J Res Ayurveda. 2014;35(2):119–123. doi:10.4103/0974-8520.146202.
   Google Scholar
• World Health Organization Global TB Programme. Protocol for survey to determine direct and indirect costs due to TB and to estimate proportion of TB-affected households experiencing catastrophic costs due to TB; November, 2015. Available from: http://www.who.int/tb/advisory_bodies/impact_measurement_taskforce/meetings/tf6_background_5a_patient_cost_surveys_protocol.pdf?ua=1. Accessed March 26, 2020.
   Google Scholar
• Jo C. Cost-of-illness studies: concepts, scopes, and methods. Clin Mol Hepatol. 2014;20(4):327–337. doi:10.3350/cmh.2014.20.4.327.
   PubMedGoogle Scholar
• Segel JE. Cost-of-illness studies: a primer.RTI international. RTI-UNC center of excellence in health promotion economics; 2006:1–39. Available from: https://pdfs.semanticscholar.org/3bbf/0a03079715556ad816a25ae9bf232b45f2e6.pdf. Accessed March 25, 2020.
   Google Scholar
• Byford S, Torgerson DJ, Raftery J. Cost of illness studies. BMJ. 2000;320(7245):1335. doi:10.1136/bmj.320.7245.1335.
   PubMed Web of Science ®Google Scholar
• Kar SS, Kalidoss VK, Vasudevan V, Goenka S. Cost of care for hypertension in a selected health center of urban Puducherry: an exploratory cost-of-illness study. Int J Non-Commun Dis. 2018;3(3):98–103. doi:10.4103/jncd.jncd_49_17.
   Google Scholar
• Wang Q, Brenner S, Kalmus O, Banda HT, De Allegri M. The economic burden of chronic non-communicable diseases in rural Malawi: an observational study. BMC Health Serv Res. 2016;16:457.
   Web of Science ®Google Scholar
• Tolla MT, Norheim OF, Verguet S, et al. Out-of-pocket expenditures for prevention and treatment of cardiovascular disease in general and specialised cardiac hospitals in Addis Ababa, Ethiopia: a cross-sectional cohort study. BMJ Glob Heal. 2017;2(2):e000280. doi:10.1136/bmjgh-2016-000280
   Web of Science ®Google Scholar
• Terline DMD, Kane A, Kramoh KE, et al. Factors associated with poor adherence to medication among hypertensive patients in twelve low and middle income Sub-Saharan countries. PLoS One. 2019;14(7):e0219266. doi:10.1371/journal.pone.0219266
   Web of Science ®Google Scholar
• Zhang D, Wang G, Zhang P, Fang J, Ayala C. Medical expenditures associated with hypertension in the U.S., 2000–2013. Am J Prev Med. 2017;53(6):S164–S171. doi:10.1016/j.amepre.2017.05.014
   Web of Science ®Google Scholar
• Mulatu HA, Bayisa T, Berhe T, Woldeyes E. Pattern of antihypertensive treatment and blood pressure control among diabetic outpatients in Addis Ababa, Ethiopia. J Diabetes Metab. 2017;08:4. doi:10.4172/2155-6156.1000738
   Web of Science ®Google Scholar
• Mengesha HG, Welegerima AH, Hadgu A, et al. Comparative effectiveness of antihypertensive drugs prescribed in Ethiopian healthcare practice: a pilot prospective, randomized, open label study. PLoS One. 2018;13(9):e0203166. doi:10.1371/journal.pone.0203166
   Web of Science ®Google Scholar
• Abegaz T, Tefera Y, Abebe T. Antihypertensive drug prescription patterns and their impact on outcome of blood pressure in Ethiopia: a hospital-based observational study. Integr Pharm Res Pract. 2017;6:29–35. doi:10.2147/IPRP.S124047
   Web of Science ®Google Scholar
• Horsa BA, Tadesse Y, Engidawork E. Assessment of hypertension control and factors associated with the control among hypertensive patients attending at Zewditu memorial hospital: a cross sectional study. BMC Res Notes. 2019;12(1):152. doi:10.1186/s13104-019-4173-8.
   Web of Science ®Google Scholar
• Jarari N, Rao N, Peela JR, et al. A review on prescribing patterns of antihypertensive drugs. Clin Hypertens. 2016;22:7. doi:10.1186/s40885-016-0042-0.
   PubMedGoogle Scholar
• Mamo G, Worku A, Lemma S, Demas T. Cost of illness of breast cancer patients on chemotherapy in Addis Ababa Public Hospitals, the case of Tikur Anbessa specialized teaching hospital-cross-sectional types of study. Health Econ Outcome Res Open Access. 2017;03:4.
   Google Scholar
• Ethiopian Public Health Institute. Services Availability and Readiness Assessment (SARA); 2018. Available from: https://www.ephi.gov.et/images/pictures/download_2011/Ethiopia-Service-Availability-and-Rediness-Assessment-SARA-report-2018.pdf. Accessed March 26, 2020.
   Google Scholar
• Wang Q, Fu AZ, Brenner S, Kalmus O, Banda HT, De Allegri M. Out-of-pocket expenditure on chronic non-communicable diseases in Sub-Saharan Africa: the case of rural Malawi. PLoS One. 2015;10(1):1–15.
   Web of Science ®Google Scholar