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Health in Kenya

Tropical diseases, especially malaria and tuberculosis, have long been a public health problem in Kenya. In recent years, infection with the human immunodeficiency virus (HIV), which causes acquired immune deficiency syndrome (AIDS), also has become a severe problem. Estimates of the incidence of infection differ widely.

Maasai walking from village to village, selling traditional medicine

The life expectancy in Kenya in 2016 was 69.0 for females and 64.7 for males. This has been an increment from the year 1990 when the life expectancy was 62.6 and 59.0 respectively.[1] The leading cause of mortality in Kenya in the year 2016 included diarrhoea diseases 18.5%, HIV/AIDs 15.56%, lower respiratory infections 8.62%, tuberculosis 3.69%, ischemic heart disease 3.99%, road injuries 1.47%, interpersonal violence 1.36%. The leading causes of DALYs in Kenya in 2016 included HIV/AIDs 14.65%, diarrhoea diseases 12.45%, lower back and neck pain 2.05%, skin and subcutaneous diseases 2.47%, depression 1.33%, interpersonal violence 1.32%, road injuries 1.3%. The burden of disease in Kenya has mainly been from communicable diseases, but it is now shifting to also include the noncommunicable diseases and injuries. As of 2016, the 3 leading causes of death globally were ischemic heart disease 17.33%, stroke 10.11% and chronic obstructive pulmonary disease 5.36%.[2]

The Human Rights Measurement Initiative[3] considers Kenya to have 84.8% fulfillment concerning the right to health, per level of income for the country.[4]

Health status edit

 
Life expectancy in select Southern African countries, 1950–2019. HIV/AIDS has caused a fall in life expectancy.

HIV/AIDS edit

The United Nations Development Program (UNDP) claimed in 2006 that more than 16 percent of adults in Kenya are HIV-infected.[5] The Joint United Nations Programme on HIV/AIDS (UNAIDS) cites the much lower figure of 6.7 percent.[5]

Despite politically charged disputes over the numbers, however, the Kenyan government recently declared HIV/AIDS a national disaster. In 2004 the Kenyan Ministry of Health announced that HIV/AIDS had surpassed malaria and tuberculosis as the leading disease killer in the country. Due largely to AIDS, life expectancy in Kenya has dropped by about a decade. Since 1984 more than 1.5 million Kenyans have died because of HIV/AIDS.[5]

In 2017, the number of people in Kenya living with HIV/AIDS was 1 500 000 and the prevalence rate was 4.8% of the total population. The prevalence rate of women aged 15 to 49 years was 6.2% which was higher than that of men 3.5% in the same age group. The incidence rate was 1.21 per 1000 population among all ages and more than 75% of the total population are on antiretroviral therapy. Globally 36.9 million people were living with HIV by the year 2017, 21.7 million of the people living with HIV were on antiretroviral therapy and the newly infected people for the same year was 1.8 million.[6]

AIDS has contributed significantly to Kenya's dismal ranking in the latest UNDP Human Development Report, whose Human Development Index (HDI) score is an amalgam of gross domestic product per head, figures for life expectancy, adult literacy, and school enrollment. The 2006 report ranked Kenya 152nd out of 177 countries on the HDI and pointed out that Kenya is one of the world's worst performers in infant mortality. Estimates of the infant mortality rate range from 57 to 74 deaths/1,000 live births. The maternal mortality ratio is also among the highest in the world, due in part to female genital mutilation. The practice has been fully prohibited nationwide since 2011.[7]

Malaria edit

Malaria remains a major public health problem in Kenya and accounts for an estimated 16 percent of outpatient consultations. Malaria transmission and infection risk in Kenya are determined largely by altitude, rainfall patterns, and temperature, which leads to considerable variation in malaria prevalence by season and across geographic regions. Approximately 70 percent of the population is at risk for malaria, with 14 million people in endemic areas, and another 17 million in areas of epidemic and seasonal malaria. All four species of Plasmodium parasites that infect humans occur in Kenya. The parasite Plasmodium falciparum, which causes the most severe form of the disease, accounts for more than 99 percent of infections.[8]

Kenya has made significant progress in the fight against malaria. The Government of Kenya places a high priority on malaria control and tailors its malaria control efforts according to malaria risk to achieve maximum impact. With support from international donors, the Ministry of Health's National Malaria Control Program has been able to show improvements in coverage of malaria prevention and treatment measures. Recent household surveys show a reduction in malaria parasite prevalence from 11 percent in 2010 to 8 percent in 2015 nationwide, and from 38 percent in 2010 to 27 percent in 2015 in the endemic area near Lake Victoria. The mortality rate in children under five years of age has declined by 55 percent, from 115 deaths per 1,000 live births in the 2003 Kenya Demographic and Health Survey (DHS) to 52 deaths per 1,000 live births in the 2014 DHS.[8]

Traffic collisions edit

Apart from major disease killers, Kenya has a serious problem with death in traffic collisions. Kenya used to have the highest rate of road crashes in the world, with 510 fatal crashes per 100,000 vehicles (2004 estimate), as compared to second-ranked South Africa, with 260 fatalities, and the United Kingdom, with 20. In February 2004, in an attempt to improve Kenya's record, the government obliged the owners of the country's 25,000 matatus (minibuses), the backbone of public transportation, to install new safety equipment on their vehicles. Government spending on road projects is also planned.[5] Barack Obama Sr., the father of the former U.S. president, was in several serious drunk driving crashes which paralysed him. He was later killed in a drunk-driving crash.[9][10]

Child mortality edit

The child mortality per 1000 live birth has reduced form 98.1 in 1990 to 51 in 2015, this compares to the global statistics of child mortality which has dropped from 93 in 1990 to 41 in 2016. . The infant mortality rate has also reduced form 65.8 in 1990 to 35.5 in 2015 while the neonatal mortality rate per 1000 live births is 22.2 in 2015.[11]

1990 2000 2010 2015
Child mortality 98.1 101 62.2 51.0
Infant mortality 65.8 66.5 42.4 35.5
Neonatal mortality 27.4 29.1 25.9 22.2

Maternal and child health care edit

Maternal mortality is defined as "the death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of the pregnancy, from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes".[12] Over 500,000 women globally die every year due to maternal causes, and half of all global maternal deaths occur in sub-Saharan Africa.[13][14]

The 2010 maternal mortality rate per 100,000 births for Kenya is 530, yet has been shown to be as high as 1000 in the North Eastern Province, for example.[15] This is compared with 413.4 in 2008 and 452.3 in 1990. In Kenya the number of midwives per 1,000 live births is unavailable and the lifetime risk of death for pregnant women 1 in 38.[16] However, generally, the rate of maternal deaths in Kenya has significantly reduced. This can be largely attributed to the success of the Beyond Zero campaign, a charitable organization whose mission is to see total elimination of maternal deaths in Kenya.[17][18]

Women under 24 years of age are especially vulnerable because the risk of developing complications during pregnancy and childbirth. The burden of maternal mortality extends far beyond the physical and mental health implications. In 1997, the gross domestic product (GDP) loss attributable to MMR per 100,000 live births was US$234, one of the highest losses compared to other African regions. Additionally, with the annual number of maternal deaths being 6222, the total annual economic loss due to maternal mortality in Kenya was US$2240, again one of the highest losses compared to other African regions.[19]

Kenya's health infrastructure suffers from urban-rural and regional imbalances, lack of investment, and a personnel shortage, with, for example, one doctor for 10,150 people (as of 2000).[5]

Determinants of maternal mortality and morbidity edit

The determinants influencing maternal mortality and morbidity can be categorised under three domains: proximate, intermediate, and contextual.[20][21]

Proximate determinants: these refer to those factors that are mostly closely linked to maternal mortality. More specifically, these include pregnancy itself and the development of pregnancy and birth-related or postpartum complications, as well as their management. Based on verbal autopsy reports from women in Nairobi slums, it was noted that most maternal deaths are directly attributed to complications such as haemorrhage, sepsis, eclampsia, or unsafe abortions. Conversely, indirect causes of mortality were noted to be malaria, anaemia, or TB/HIV/AIDS, among others.[22]

Intermediate determinants: these include those determinants related to the access to quality care services, particularly barriers to care such as: health system barriers (e.g. health infrastructure), financial barriers, and information barriers. For example, interview data of women aged 12–54 from the Nairobi Urban Health and Demographic Surveillance System[23] (NUHDSS), found that the high cost of formal delivery services in hospitals, as well as the cost transportation to these facilities presented formidable barriers to accessing obstetric care.[24] Other intermediate determinants include reproductive health behaviour, such as receiving antenatal care (a strong predictor of later use of formal, skilled care), and women's health and nutritional status.

Contextual determinants: these refer primarily to the influence of political commitment (policy formulation, for example), infrastructure, and women's socioeconomic status, including education, income, and autonomy. With regards to political will, a highly contested issue is the legalisation of abortion. The current restrictions on abortions has led to many women receiving the procedure illegally and often via untrained staff. These operations have been estimated to contribute to over 30% of maternal mortalities in Kenya.[25]

Infrastructure refers not only to the unavailability of services in some areas, but also the inaccessibility issues that many women face. In reference to maternal education, women with greater education are more likely to have and receive knowledge about the benefits of skilled care and preventative action—antenatal care use, for example. In addition, these women are also more likely to have access to financial resources and health insurance, as well as being in a better position to discuss the use of household income. This increased decision-making power is matched with a more egalitarian relationship with their husband and an increased sense of self-worth and self-confidence. Income is another strong predictor influencing skilled care use, in particular, the ability to pay for delivery at modern facilities.[26]

Women living in households unable to pay for the costs of transportation, medications, and provider fees were significantly less likely to pursue delivery services at skilled facilities. The impact of income level also influences other sociocultural determinants. For instance, low-income communities are more likely to hold traditional views about birthing, opting away from skilled care use. Similarly, they are also more likely to give women less autonomy in making household and healthcare-related decisions. Thus, these women are not only unable to receive money for care from husbands––who often place greater emphasis on the purchase of food and other items—but are also much less able to demand formal care.[26]

Maternal health in the North-Eastern Province edit

The North-Eastern Province of Kenya extends over 126,903 km2 (48,998 sq mi) and contains the main districts of Garissa, Ijara, Wajir, and Mandera.[27] This area contains over 21 primary hospitals, 114 dispensaries serving as primary referrals sites, 8 nursing homes with maternity services, 9 health centres, and out of the 45 medical clinics spanning this area, 11 of these clinics specifically have nursing and midwifery services available for mothers[28] However, health disparities exist within these regions, especially among the rural districts of the North-Eastern province. Approximately 80% of the population of the North-Eastern Province of Kenya consists of Somali nomadic pastoralist communities who frequently resettle around these regions. These communities are the most impoverished and marginalised in the region.[29]

Despite the availability of these resources, these services are severely underused in this population. For example, despite the high MMR, many of the women are hesitant to seek delivery assistance under the care of trained birth attendants at these facilities.[30] Instead, many of these women opt to deliver at home, which accounts for the greatest mortality rates in these regions. For example, the Ministry of Health projected that about 500 mothers would use the Garissa Provincial General Hospital by 2012 since it opened in 2007; however, only 60 deliveries occurred at this hospital. Reasons for low attendance include a lack of awareness of these facility's presence, ignorance, and inaccessibility of these services in terms of distance and costs. However, to address some of the accessibility barriers to obtaining care, there are concerted efforts within the community already such as mobile health clinics and waived user fees.[31]

Ethnicity in relation to health status edit

Kenya has a diverse population with upwards of 42 ethnic groups and subgroups, see (Demographics of Kenya). The most prominent groups are the Kikuyu, Luhya, Luo, Kalenjin, and Kamba.[32] The differences in language and culture that come with this extensively diverse population have been coupled with ethnic conflict and favoritism[33] Much of this conflict is rooted in the search for political power as there is a common belief that political power held by the ethnic majority preludes to influence throughout other facets of society.[34] Many researchers argue that political leaders in power will distribute resources to their co-ethnic voters because of their ethnic identity. There are confounding theories that examine the ways in which leaders will or will not achieve this feat, but the overall theory linking ethnic identity with more/better remains the same.[33] In general, researchers have found that an uneven distribution of resources has caused an imbalance of resources and underdevelopment of some regions in the country.[34] Healthcare as a public resource in Kenya is impacted by ethnic favoritism, as those who share co-ethnics with the political leader in power have more opportunities to access said resource due to social inequality.[35] In addition, data shows that ethnicity can impact communication between patients and healthcare providers and a person's overall sense of wellness.

Interpersonal interactions in healthcare edit

The two officially recognized languages in Kenya are English and Swahili.[36] Swahili is spoken by about two-thirds of the population, and English is heavily used and taught. Both of these languages are the ones primarily used on government documents or for professional interactions, including healthcare visits.[36] There are several Kenyans who primarily speak their native or regional language in addition to the two national languages.[36] However, those who do not speak the official language may be limited in their access to civil goods.[36] Previous research has shown that the language barriers between patients and doctors can deter patients from accessing healthcare in their communities.[37] Survey accounts report that several patients may feel uncomfortable seeing a doctor from a differing ethnic group because of the difference in language, different style of communication, or perceived bias. However several Kenyans have also shared that they prefer going to professionals from differing ethnic groups to protect their privacy.[37]

Social capital and health edit

Social capital is the perceived agency that someone has in terms of what benefits they can receive from their individual communities and society as a whole.[38] A person's social capital can be influenced by their ethnic identity and how much perceived and literal power they have in relation to the power that their group has. Ethnic favoritism that leads to higher levels of social inequality can be mediated with increased social capital for disadvantaged groups of people.[39] In Kenya, it has been found that increased social capital has a positive correlation with decreased anxiety, stress, and overall health.[38] Social capital, in general, has been shown to foster feelings of trust and reciprocity among individuals in their communities. However, there is also some data to show that social capital within a community can cause anxiety and worry, this is more prominent in communities that rely on each other for resources.[38]

Health policy and infrastructure edit

Comparison of government spending on health care in select countries in 2019 (Source: World Bank Group)
Country Percentage of GDP spent on health care
Tanzania 3.83
Uganda 3.83
Kenya 4.59
Haiti 4.73
Zambia 5.31
South Sudan 6.04
Ukraine 7.10
Malawi 7.39
Israel 7.46
Zimbabwe 7.70
Mozambique 7.83
Liberia 8.47
Namibia 8.50
Lebanon 8.65
Italy 8.67
Sierra Leone 8.75
South Africa 9.11
Finland 9.15
Australia 9.91
Netherlands 10.13
United Kingdom 10.15
Norway 10.52
Japan 10.74
Canada 10.84
Sweden 10.87
France 11.06
Lesotho 11.27
Switzerland 11.29
Germany 11.70
Afghanistan 13.24
United States 16.77

Since its independence, Kenya had a highly centralized government that is partially responsible for distributing healthcare resources.[40] Recently, the country implemented a new system in place that requires individual counties to be responsible for the distribution of resources while the national government maintains responsibility for overseeing hospitals and capacity buildings.[32] Much of Kenya's issues in health inequity can be attributed to economic disadvantages and high poverty levels.[32] In places where healthcare institutions exist, data shows that many individuals do not use them and it was reported that those who live in more affluent urban areas are more likely to report their ills than those who live in rural areas.[40] Hospitals that are overseen by the government are more likely to be found in non-rural regions.[40] This problem has been shown to negatively affect ethnic groups like the Maasai community who rely on the land for their livelihood and are distanced from the urban areas in the country.[32] The benefits of ethnic favoritism also tend to be targeted more toward regions composed of particular ethnic groups rather than specific individuals.[41] Those who live in the targeted regions are more likely to have better access to healthcare.

Malpractices experienced by patients in the public health care sector (Kenya Anti-Corruption Commission: Sectoral Perspectives on Corruption in Kenya - February 2010)
Malpractice % of patients who experienced
Informal payments required from patients 13.6
Unofficial payments for services that are supposed to be free 11.4
Theft of drugs and medical supplies 9
Use of public facilities and equipment for private practice 1.9
Unnecessaru referral of patients to private clinics 14.4
Absenteeism of staff 41.1
Billing patients for services that were unavailable 4.1
Prescribing or performing unnecessary procedures 1.5
Scheduling surgery dates 2.4
Theft of user-fee revenue, other diversion 0.5

Kenya is currently grappling with a large number of unemployed health care providers (including health facilities) many of whom are under-utilised, underemployed or not practicing. A large thriving black market for counterfeit medicines and health services exists and is largely controlled by quacks and charlatans. Kenya is a major regional transit route and destination for counterfeit medications and other health products. The corporate practice of medicine is a deeply entrenched vice that has not been subjected to judicial review resulting in widespread sharing of medical practice incomes with non-medical persons and, more recently, in the actual trading of patients and health care providers in financial markets.[42][43]

Climate change edit

Different effects caused or exacerbated by climate change, such as heat, drought, and floods, negatively affect human health.[44]: 12  The risk of vector and water borne diseases will rise.[45]: 1  83 million people are expected to be at risk of malaria alone by 2070,[45]: 3  a disease which is already responsible for 5% of deaths in children under the age of five and causes large expense.[46]: 4  Dengue fever is similarly expected to increase by 2070.[45]: 3 

Among people aged 65 and over, heat stress-related mortality is expected to increase from 2 deaths per 100,000 per year in 1990 to 45 per 100,000 by 2080.[46]: 4 [45]: 4  Under a low-emissions scenario, this may be limited to just 7 deaths per 100,000 in 2080. Under a high emission scenario, climate change is expected to exacerbate diarrhea deaths, causing around 9% of such deaths for children under 15 by 2030, and 13% of such deaths by 2050. Malnutrition may rise by up to 20% by 2050. In 2009, it was recorded in Kenya that the prevalence of stunting in children, underweight children and wasting in children under age 5 was 35.2%, 16.4% and 7.0%, respectively.[45]: 4 

See also edit

References edit

  1. ^ Institute of Health Metrics and Evaluation (2018). IHME. Measuring what matters. University of Washington. Read from http://www.healthdata.org/kenya on 8-09.2018
  2. ^ Institute of Health Metrics and Evaluation (2016). IHME. Measuring what matters. University of Washington. Read from https://vizhub.healthdata.org/gbd-compare/ on 8-09.2018
  3. ^ "Human Rights Measurement Initiative – The first global initiative to track the human rights performance of countries". humanrightsmeasurement.org. Retrieved 4 March 2022.
  4. ^ "Kenya – HRMI Rights Tracker". rightstracker.org. Retrieved 4 March 2022.
  5. ^ a b c d e Kenya country profile. Library of Congress Federal Research Division (June 2007). This article incorporates text from this source, which is in the public domain.
  6. ^ UNAIDS (n.d). Epidemic transmission metrics. Read from http://aidsinfo.unaids.org on 08-09-2018
  7. ^ THE PROHIBITION OF FEMALE GENITAL MUTILATION ACT, 2011
  8. ^ a b "Kenya" (PDF). President's Malaria Initiative. 2018.   This article incorporates text from this source, which is in the public domain.
  9. ^ Remnick, David (18 October 2010). "Was President Obama's Father Murdered?". The New Yorker. ISSN 0028-792X. Retrieved 20 March 2024.
  10. ^ Dixon, Euell A. (12 September 2020). "Barack Hussein Obama Sr. (1936-1982) •". Retrieved 20 March 2024.
  11. ^ https://www.gapminder.org/tools on 08-09-2018
  12. ^ WHO 2012 [1][dead link]
  13. ^ CIDA 2011 cida.gc.ca/acdicida/ACDI-CIDA.nsf/eng/JUD-41183252-2NL 17 July 2020 at the Wayback Machine
  14. ^ Kirigia, Joses M.; Oluwole, Doyin; Mwabu, Germano M.; Gatwiri, Doris & Kainyu; Kainyu, Lh (2008). "Effects of Maternal Mortality on Gross Domestic Product (GDP) in the WHO African Region". African Journal of Health Sciences. 13 (1–2): 86–95. doi:10.4314/ajhs.v13i1.30821. PMID 17348747.
  15. ^ Red Cross 2011
  16. ^ "The State of the World's Midwifery". United Nations Population Fund. Retrieved 1 August 2011.
  17. ^ "New "Beyond Zero Campaign" to improve maternal and child health outcomes in Kenya". www.unaids.org. Retrieved 20 March 2024.
  18. ^ Mungai, Allan. "Crucial surgeries for women with fistula as Beyond Zero expands scope". The Standard. Retrieved 20 March 2024.
  19. ^ Ochako et al. (2011). Utilization of maternal health services among young women in Kenya: Insights from the Kenya Demographic and Health Survey, 2003.
  20. ^ Epuu, K. G. (2010). Determinants of maternal morbidity and mortality Turkana District Kenya (Thesis).
  21. ^ Warren, Charlotte; Liambila, Wilson (1 January 2004). "Safe Motherhood Demonstration Project, Western Province: Final Report". Reproductive Health. doi:10.31899/rh5.1002.
  22. ^ Ziraba, Abdhalah Kasiira; Madise, Nyovani; Mills, Samuel; Kyobutungi, Catherine; Ezeh, Alex (22 April 2009). "Maternal mortality in the informal settlements of Nairobi city: what do we know?". Reproductive Health. 6 (1): 6. doi:10.1186/1742-4755-6-6. PMC 2675520. PMID 19386134. S2CID 2320731.
  23. ^ kigongo, Siki (22 October 2018). "Nairobi Urban Health and Demographic Surveillance System (NUHDSS)". APHRC. Retrieved 12 January 2024.
  24. ^ Essendi, Hildah; Mills, Samuel; Fotso, Jean-Christophe (1 June 2011). "Barriers to Formal Emergency Obstetric Care Services' Utilization". Journal of Urban Health. 88 (2): 356–369. doi:10.1007/s11524-010-9481-1. PMC 3132235. PMID 20700769. S2CID 18731098.
  25. ^ Brookman-Amissah, Eunice; Moyo, Josephine Banda (January 2004). "Abortion Law Reform in Sub-Saharan Africa: No Turning Back". Reproductive Health Matters. 12 (sup24): 227–234. doi:10.1016/S0968-8080(04)24026-5. PMID 15938178. S2CID 30640187.
  26. ^ a b Gabrysch, Sabine; Campbell, Oona MR (11 August 2009). "Still too far to walk: Literature review of the determinants of delivery service use". BMC Pregnancy and Childbirth. 9 (1): 34. doi:10.1186/1471-2393-9-34. PMC 2744662. PMID 19671156.
  27. ^ . Archived from the original on 25 March 2012. Retrieved 3 April 2012.
  28. ^ . Archived from the original on 25 January 2012. Retrieved 3 April 2012.
  29. ^ USAID, 2010, Kenya-Somalia border conflict analysis
  30. ^ Warfa, Osman; Njai, Daniel; Ahmed, Laving; Admani, Bashir; Were, Fred; Wamalwa, Dalton; Osano, Boniface; Mburugu, Patrick; Mohamed, Musa (18 March 2014). "Evaluating the level of adherence to Ministry of Health guidelines in the management of Severe Acute Malnutrition at Garissa Provincial General hospital, Garissa, Kenya". The Pan African Medical Journal. 17: 214. doi:10.11604/pamj.2014.17.214.3821. ISSN 1937-8688. PMC 4163184. PMID 25237411.
  31. ^ Boniface, Bosire (12 March 2012). "Kenya's North Eastern Province Battles High Maternal Mortality Rate". Sabahi.[verification needed]
  32. ^ a b c d Mwai, Daniel; Barker, Catherine; Mulaki, Aaron; Dutta, Arin (2014). (PDF). Kericho. doi:10.13140/RG.2.2.36622.87363. Archived from the original (PDF) on 29 June 2022.
  33. ^ a b Franck, Raphaël; Rainer, Ilia (May 2012). "Does the Leader's Ethnicity Matter? Ethnic Favoritism, Education, and Health in Sub-Saharan Africa" (PDF). American Political Science Review. 106 (2): 294–325. doi:10.1017/S0003055412000172. S2CID 15227415.
  34. ^ a b Nyaura, Jasper Edward (1 June 2018). "Devolved Ethnicity in the Kenya: Social, Economic and Political Perspective". European Review of Applied Sociology. 11 (16): 17–26. doi:10.1515/eras-2018-0002. S2CID 150230348.
  35. ^ Gutwa Oino, Peter; Ngunzo Kioli, Felix (April 2014). "Ethnicity and Social Inequality: A Source of Under-Development in Kenya". International Journal of Science and Research. 3 (4): 723–729.
  36. ^ a b c d Andrew Simpson, ed. (2008). Language and national identity in Africa. Oxford: Oxford University Press. ISBN 978-0-19-153681-6. OCLC 227038652.[page needed]
  37. ^ a b Miller, Anne Neville (2010). "Ethnicity and Patient-Doctor Communication in Kenya". African Communication Research. 3: 267–280.
  38. ^ a b c Musalia, John (1 October 2016). "Social capital and health in Kenya: A multilevel analysis". Social Science & Medicine. 167: 11–19. doi:10.1016/j.socscimed.2016.08.043. PMID 27597538.
  39. ^ Uphoff, Eleonora P; Pickett, Kate E; Cabieses, Baltica; Small, Neil; Wright, John (2013). "A systematic review of the relationships between social capital and socioeconomic inequalities in health: a contribution to understanding the psychosocial pathway of health inequalities". International Journal for Equity in Health. 12 (1): 54. doi:10.1186/1475-9276-12-54. PMC 3726325. PMID 23870068.
  40. ^ a b c Wamai, Richard G (2009). "The Kenya Health System-Analysis of the situation and enduring challenges" (PDF). Japan Medical Association Journal. 52 (2): 134–140.
  41. ^ Dickens, Andrew (1 July 2018). "Ethnolinguistic Favoritism in African Politics" (PDF). American Economic Journal: Applied Economics. 10 (3): 370–402. doi:10.1257/app.20160066.
  42. ^ Kivua, Elizabeth (10 February 2022). "US private equity firm takes over operations at Nairobi Women's Hospital". Business Daily. Retrieved 15 February 2022.
  43. ^ Gaffney, Adam (22 April 2018). "The US is entering a golden age of corporate medicine". The Guardian. Retrieved 6 February 2022.
  44. ^ Government of Kenya (2018). (PDF). Archived from the original (PDF) on 2 April 2022. Retrieved 26 November 2020.
  45. ^ a b c d e "Climate And Health Country Profile 2015 Kenya". World Health Organization. 2016. Retrieved 28 November 2020.

External links edit

  • The State of the World's Midwifery – Kenya Country Profile

health, kenya, this, article, needs, additional, citations, verification, please, help, improve, this, article, adding, citations, reliable, sources, unsourced, material, challenged, removed, find, sources, news, newspapers, books, scholar, jstor, december, 20. This article needs additional citations for verification Please help improve this article by adding citations to reliable sources Unsourced material may be challenged and removed Find sources Health in Kenya news newspapers books scholar JSTOR December 2022 Learn how and when to remove this template message Tropical diseases especially malaria and tuberculosis have long been a public health problem in Kenya In recent years infection with the human immunodeficiency virus HIV which causes acquired immune deficiency syndrome AIDS also has become a severe problem Estimates of the incidence of infection differ widely Maasai walking from village to village selling traditional medicineThe life expectancy in Kenya in 2016 was 69 0 for females and 64 7 for males This has been an increment from the year 1990 when the life expectancy was 62 6 and 59 0 respectively 1 The leading cause of mortality in Kenya in the year 2016 included diarrhoea diseases 18 5 HIV AIDs 15 56 lower respiratory infections 8 62 tuberculosis 3 69 ischemic heart disease 3 99 road injuries 1 47 interpersonal violence 1 36 The leading causes of DALYs in Kenya in 2016 included HIV AIDs 14 65 diarrhoea diseases 12 45 lower back and neck pain 2 05 skin and subcutaneous diseases 2 47 depression 1 33 interpersonal violence 1 32 road injuries 1 3 The burden of disease in Kenya has mainly been from communicable diseases but it is now shifting to also include the noncommunicable diseases and injuries As of 2016 the 3 leading causes of death globally were ischemic heart disease 17 33 stroke 10 11 and chronic obstructive pulmonary disease 5 36 2 The Human Rights Measurement Initiative 3 considers Kenya to have 84 8 fulfillment concerning the right to health per level of income for the country 4 Contents 1 Health status 1 1 HIV AIDS 1 2 Malaria 1 3 Traffic collisions 1 4 Child mortality 1 5 Maternal and child health care 1 5 1 Determinants of maternal mortality and morbidity 1 5 2 Maternal health in the North Eastern Province 2 Ethnicity in relation to health status 2 1 Interpersonal interactions in healthcare 2 2 Social capital and health 3 Health policy and infrastructure 4 Climate change 5 See also 6 References 7 External linksHealth status edit nbsp Life expectancy in select Southern African countries 1950 2019 HIV AIDS has caused a fall in life expectancy HIV AIDS edit Main article HIV AIDS in Kenya The United Nations Development Program UNDP claimed in 2006 that more than 16 percent of adults in Kenya are HIV infected 5 The Joint United Nations Programme on HIV AIDS UNAIDS cites the much lower figure of 6 7 percent 5 Despite politically charged disputes over the numbers however the Kenyan government recently declared HIV AIDS a national disaster In 2004 the Kenyan Ministry of Health announced that HIV AIDS had surpassed malaria and tuberculosis as the leading disease killer in the country Due largely to AIDS life expectancy in Kenya has dropped by about a decade Since 1984 more than 1 5 million Kenyans have died because of HIV AIDS 5 In 2017 the number of people in Kenya living with HIV AIDS was 1 500 000 and the prevalence rate was 4 8 of the total population The prevalence rate of women aged 15 to 49 years was 6 2 which was higher than that of men 3 5 in the same age group The incidence rate was 1 21 per 1000 population among all ages and more than 75 of the total population are on antiretroviral therapy Globally 36 9 million people were living with HIV by the year 2017 21 7 million of the people living with HIV were on antiretroviral therapy and the newly infected people for the same year was 1 8 million 6 AIDS has contributed significantly to Kenya s dismal ranking in the latest UNDP Human Development Report whose Human Development Index HDI score is an amalgam of gross domestic product per head figures for life expectancy adult literacy and school enrollment The 2006 report ranked Kenya 152nd out of 177 countries on the HDI and pointed out that Kenya is one of the world s worst performers in infant mortality Estimates of the infant mortality rate range from 57 to 74 deaths 1 000 live births The maternal mortality ratio is also among the highest in the world due in part to female genital mutilation The practice has been fully prohibited nationwide since 2011 7 Malaria edit Malaria remains a major public health problem in Kenya and accounts for an estimated 16 percent of outpatient consultations Malaria transmission and infection risk in Kenya are determined largely by altitude rainfall patterns and temperature which leads to considerable variation in malaria prevalence by season and across geographic regions Approximately 70 percent of the population is at risk for malaria with 14 million people in endemic areas and another 17 million in areas of epidemic and seasonal malaria All four species of Plasmodium parasites that infect humans occur in Kenya The parasite Plasmodium falciparum which causes the most severe form of the disease accounts for more than 99 percent of infections 8 Kenya has made significant progress in the fight against malaria The Government of Kenya places a high priority on malaria control and tailors its malaria control efforts according to malaria risk to achieve maximum impact With support from international donors the Ministry of Health s National Malaria Control Program has been able to show improvements in coverage of malaria prevention and treatment measures Recent household surveys show a reduction in malaria parasite prevalence from 11 percent in 2010 to 8 percent in 2015 nationwide and from 38 percent in 2010 to 27 percent in 2015 in the endemic area near Lake Victoria The mortality rate in children under five years of age has declined by 55 percent from 115 deaths per 1 000 live births in the 2003 Kenya Demographic and Health Survey DHS to 52 deaths per 1 000 live births in the 2014 DHS 8 Traffic collisions edit Apart from major disease killers Kenya has a serious problem with death in traffic collisions Kenya used to have the highest rate of road crashes in the world with 510 fatal crashes per 100 000 vehicles 2004 estimate as compared to second ranked South Africa with 260 fatalities and the United Kingdom with 20 In February 2004 in an attempt to improve Kenya s record the government obliged the owners of the country s 25 000 matatus minibuses the backbone of public transportation to install new safety equipment on their vehicles Government spending on road projects is also planned 5 Barack Obama Sr the father of the former U S president was in several serious drunk driving crashes which paralysed him He was later killed in a drunk driving crash 9 10 Child mortality edit The child mortality per 1000 live birth has reduced form 98 1 in 1990 to 51 in 2015 this compares to the global statistics of child mortality which has dropped from 93 in 1990 to 41 in 2016 The infant mortality rate has also reduced form 65 8 in 1990 to 35 5 in 2015 while the neonatal mortality rate per 1000 live births is 22 2 in 2015 11 1990 2000 2010 2015Child mortality 98 1 101 62 2 51 0Infant mortality 65 8 66 5 42 4 35 5Neonatal mortality 27 4 29 1 25 9 22 2Maternal and child health care edit Maternal mortality is defined as the death of a woman while pregnant or within 42 days of termination of pregnancy irrespective of the duration and site of the pregnancy from any cause related to or aggravated by the pregnancy or its management but not from accidental or incidental causes 12 Over 500 000 women globally die every year due to maternal causes and half of all global maternal deaths occur in sub Saharan Africa 13 14 The 2010 maternal mortality rate per 100 000 births for Kenya is 530 yet has been shown to be as high as 1000 in the North Eastern Province for example 15 This is compared with 413 4 in 2008 and 452 3 in 1990 In Kenya the number of midwives per 1 000 live births is unavailable and the lifetime risk of death for pregnant women 1 in 38 16 However generally the rate of maternal deaths in Kenya has significantly reduced This can be largely attributed to the success of the Beyond Zero campaign a charitable organization whose mission is to see total elimination of maternal deaths in Kenya 17 18 Women under 24 years of age are especially vulnerable because the risk of developing complications during pregnancy and childbirth The burden of maternal mortality extends far beyond the physical and mental health implications In 1997 the gross domestic product GDP loss attributable to MMR per 100 000 live births was US 234 one of the highest losses compared to other African regions Additionally with the annual number of maternal deaths being 6222 the total annual economic loss due to maternal mortality in Kenya was US 2240 again one of the highest losses compared to other African regions 19 Kenya s health infrastructure suffers from urban rural and regional imbalances lack of investment and a personnel shortage with for example one doctor for 10 150 people as of 2000 5 Determinants of maternal mortality and morbidity edit The determinants influencing maternal mortality and morbidity can be categorised under three domains proximate intermediate and contextual 20 21 Proximate determinants these refer to those factors that are mostly closely linked to maternal mortality More specifically these include pregnancy itself and the development of pregnancy and birth related or postpartum complications as well as their management Based on verbal autopsy reports from women in Nairobi slums it was noted that most maternal deaths are directly attributed to complications such as haemorrhage sepsis eclampsia or unsafe abortions Conversely indirect causes of mortality were noted to be malaria anaemia or TB HIV AIDS among others 22 Intermediate determinants these include those determinants related to the access to quality care services particularly barriers to care such as health system barriers e g health infrastructure financial barriers and information barriers For example interview data of women aged 12 54 from the Nairobi Urban Health and Demographic Surveillance System 23 NUHDSS found that the high cost of formal delivery services in hospitals as well as the cost transportation to these facilities presented formidable barriers to accessing obstetric care 24 Other intermediate determinants include reproductive health behaviour such as receiving antenatal care a strong predictor of later use of formal skilled care and women s health and nutritional status Contextual determinants these refer primarily to the influence of political commitment policy formulation for example infrastructure and women s socioeconomic status including education income and autonomy With regards to political will a highly contested issue is the legalisation of abortion The current restrictions on abortions has led to many women receiving the procedure illegally and often via untrained staff These operations have been estimated to contribute to over 30 of maternal mortalities in Kenya 25 Infrastructure refers not only to the unavailability of services in some areas but also the inaccessibility issues that many women face In reference to maternal education women with greater education are more likely to have and receive knowledge about the benefits of skilled care and preventative action antenatal care use for example In addition these women are also more likely to have access to financial resources and health insurance as well as being in a better position to discuss the use of household income This increased decision making power is matched with a more egalitarian relationship with their husband and an increased sense of self worth and self confidence Income is another strong predictor influencing skilled care use in particular the ability to pay for delivery at modern facilities 26 Women living in households unable to pay for the costs of transportation medications and provider fees were significantly less likely to pursue delivery services at skilled facilities The impact of income level also influences other sociocultural determinants For instance low income communities are more likely to hold traditional views about birthing opting away from skilled care use Similarly they are also more likely to give women less autonomy in making household and healthcare related decisions Thus these women are not only unable to receive money for care from husbands who often place greater emphasis on the purchase of food and other items but are also much less able to demand formal care 26 Maternal health in the North Eastern Province edit The North Eastern Province of Kenya extends over 126 903 km2 48 998 sq mi and contains the main districts of Garissa Ijara Wajir and Mandera 27 This area contains over 21 primary hospitals 114 dispensaries serving as primary referrals sites 8 nursing homes with maternity services 9 health centres and out of the 45 medical clinics spanning this area 11 of these clinics specifically have nursing and midwifery services available for mothers 28 However health disparities exist within these regions especially among the rural districts of the North Eastern province Approximately 80 of the population of the North Eastern Province of Kenya consists of Somali nomadic pastoralist communities who frequently resettle around these regions These communities are the most impoverished and marginalised in the region 29 Despite the availability of these resources these services are severely underused in this population For example despite the high MMR many of the women are hesitant to seek delivery assistance under the care of trained birth attendants at these facilities 30 Instead many of these women opt to deliver at home which accounts for the greatest mortality rates in these regions For example the Ministry of Health projected that about 500 mothers would use the Garissa Provincial General Hospital by 2012 since it opened in 2007 however only 60 deliveries occurred at this hospital Reasons for low attendance include a lack of awareness of these facility s presence ignorance and inaccessibility of these services in terms of distance and costs However to address some of the accessibility barriers to obtaining care there are concerted efforts within the community already such as mobile health clinics and waived user fees 31 Ethnicity in relation to health status editKenya has a diverse population with upwards of 42 ethnic groups and subgroups see Demographics of Kenya The most prominent groups are the Kikuyu Luhya Luo Kalenjin and Kamba 32 The differences in language and culture that come with this extensively diverse population have been coupled with ethnic conflict and favoritism 33 Much of this conflict is rooted in the search for political power as there is a common belief that political power held by the ethnic majority preludes to influence throughout other facets of society 34 Many researchers argue that political leaders in power will distribute resources to their co ethnic voters because of their ethnic identity There are confounding theories that examine the ways in which leaders will or will not achieve this feat but the overall theory linking ethnic identity with more better remains the same 33 In general researchers have found that an uneven distribution of resources has caused an imbalance of resources and underdevelopment of some regions in the country 34 Healthcare as a public resource in Kenya is impacted by ethnic favoritism as those who share co ethnics with the political leader in power have more opportunities to access said resource due to social inequality 35 In addition data shows that ethnicity can impact communication between patients and healthcare providers and a person s overall sense of wellness Interpersonal interactions in healthcare edit The two officially recognized languages in Kenya are English and Swahili 36 Swahili is spoken by about two thirds of the population and English is heavily used and taught Both of these languages are the ones primarily used on government documents or for professional interactions including healthcare visits 36 There are several Kenyans who primarily speak their native or regional language in addition to the two national languages 36 However those who do not speak the official language may be limited in their access to civil goods 36 Previous research has shown that the language barriers between patients and doctors can deter patients from accessing healthcare in their communities 37 Survey accounts report that several patients may feel uncomfortable seeing a doctor from a differing ethnic group because of the difference in language different style of communication or perceived bias However several Kenyans have also shared that they prefer going to professionals from differing ethnic groups to protect their privacy 37 Social capital and health edit Social capital is the perceived agency that someone has in terms of what benefits they can receive from their individual communities and society as a whole 38 A person s social capital can be influenced by their ethnic identity and how much perceived and literal power they have in relation to the power that their group has Ethnic favoritism that leads to higher levels of social inequality can be mediated with increased social capital for disadvantaged groups of people 39 In Kenya it has been found that increased social capital has a positive correlation with decreased anxiety stress and overall health 38 Social capital in general has been shown to foster feelings of trust and reciprocity among individuals in their communities However there is also some data to show that social capital within a community can cause anxiety and worry this is more prominent in communities that rely on each other for resources 38 Health policy and infrastructure editComparison of government spending on health care in select countries in 2019 Source World Bank Group Country Percentage of GDP spent on health careTanzania 3 83Uganda 3 83Kenya 4 59Haiti 4 73Zambia 5 31South Sudan 6 04Ukraine 7 10Malawi 7 39Israel 7 46Zimbabwe 7 70Mozambique 7 83Liberia 8 47Namibia 8 50Lebanon 8 65Italy 8 67Sierra Leone 8 75South Africa 9 11Finland 9 15Australia 9 91Netherlands 10 13United Kingdom 10 15Norway 10 52Japan 10 74Canada 10 84Sweden 10 87France 11 06Lesotho 11 27Switzerland 11 29Germany 11 70Afghanistan 13 24United States 16 77Since its independence Kenya had a highly centralized government that is partially responsible for distributing healthcare resources 40 Recently the country implemented a new system in place that requires individual counties to be responsible for the distribution of resources while the national government maintains responsibility for overseeing hospitals and capacity buildings 32 Much of Kenya s issues in health inequity can be attributed to economic disadvantages and high poverty levels 32 In places where healthcare institutions exist data shows that many individuals do not use them and it was reported that those who live in more affluent urban areas are more likely to report their ills than those who live in rural areas 40 Hospitals that are overseen by the government are more likely to be found in non rural regions 40 This problem has been shown to negatively affect ethnic groups like the Maasai community who rely on the land for their livelihood and are distanced from the urban areas in the country 32 The benefits of ethnic favoritism also tend to be targeted more toward regions composed of particular ethnic groups rather than specific individuals 41 Those who live in the targeted regions are more likely to have better access to healthcare Malpractices experienced by patients in the public health care sector Kenya Anti Corruption Commission Sectoral Perspectives on Corruption in Kenya February 2010 Malpractice of patients who experiencedInformal payments required from patients 13 6Unofficial payments for services that are supposed to be free 11 4Theft of drugs and medical supplies 9Use of public facilities and equipment for private practice 1 9Unnecessaru referral of patients to private clinics 14 4Absenteeism of staff 41 1Billing patients for services that were unavailable 4 1Prescribing or performing unnecessary procedures 1 5Scheduling surgery dates 2 4Theft of user fee revenue other diversion 0 5Kenya is currently grappling with a large number of unemployed health care providers including health facilities many of whom are under utilised underemployed or not practicing A large thriving black market for counterfeit medicines and health services exists and is largely controlled by quacks and charlatans Kenya is a major regional transit route and destination for counterfeit medications and other health products The corporate practice of medicine is a deeply entrenched vice that has not been subjected to judicial review resulting in widespread sharing of medical practice incomes with non medical persons and more recently in the actual trading of patients and health care providers in financial markets 42 43 Climate change editThis section is an excerpt from Climate change in Kenya Health impacts edit Different effects caused or exacerbated by climate change such as heat drought and floods negatively affect human health 44 12 The risk of vector and water borne diseases will rise 45 1 83 million people are expected to be at risk of malaria alone by 2070 45 3 a disease which is already responsible for 5 of deaths in children under the age of five and causes large expense 46 4 Dengue fever is similarly expected to increase by 2070 45 3 Among people aged 65 and over heat stress related mortality is expected to increase from 2 deaths per 100 000 per year in 1990 to 45 per 100 000 by 2080 46 4 45 4 Under a low emissions scenario this may be limited to just 7 deaths per 100 000 in 2080 Under a high emission scenario climate change is expected to exacerbate diarrhea deaths causing around 9 of such deaths for children under 15 by 2030 and 13 of such deaths by 2050 Malnutrition may rise by up to 20 by 2050 In 2009 it was recorded in Kenya that the prevalence of stunting in children underweight children and wasting in children under age 5 was 35 2 16 4 and 7 0 respectively 45 4 See also editHealthcare in Kenya Recreational drug use in Kenya COVID 19 pandemic in KenyaReferences edit Institute of Health Metrics and Evaluation 2018 IHME Measuring what matters University of Washington Read from http www healthdata org kenya on 8 09 2018 Institute of Health Metrics and Evaluation 2016 IHME Measuring what matters University of Washington Read from https vizhub healthdata org gbd compare on 8 09 2018 Human Rights Measurement Initiative The first global initiative to track the human rights performance of countries humanrightsmeasurement org Retrieved 4 March 2022 Kenya HRMI Rights Tracker rightstracker org Retrieved 4 March 2022 a b c d e Kenya country profile Library of Congress Federal Research Division June 2007 This article incorporates text from this source which is in the public domain UNAIDS n d Epidemic transmission metrics Read from http aidsinfo unaids org on 08 09 2018 THE PROHIBITION OF FEMALE GENITAL MUTILATION ACT 2011 a b Kenya PDF President s Malaria Initiative 2018 nbsp This article incorporates text from this source which is in the public domain Remnick David 18 October 2010 Was President Obama s Father Murdered The New Yorker ISSN 0028 792X Retrieved 20 March 2024 Dixon Euell A 12 September 2020 Barack Hussein Obama Sr 1936 1982 Retrieved 20 March 2024 https www gapminder org tools on 08 09 2018 WHO 2012 1 dead link CIDA 2011 cida gc ca acdicida ACDI CIDA nsf eng JUD 41183252 2NL Archived 17 July 2020 at the Wayback Machine Kirigia Joses M Oluwole Doyin Mwabu Germano M Gatwiri Doris amp Kainyu Kainyu Lh 2008 Effects of Maternal Mortality on Gross Domestic Product GDP in the WHO African Region African Journal of Health Sciences 13 1 2 86 95 doi 10 4314 ajhs v13i1 30821 PMID 17348747 Red Cross 2011 The State of the World s Midwifery United Nations Population Fund Retrieved 1 August 2011 New Beyond Zero Campaign to improve maternal and child health outcomes in Kenya www unaids org Retrieved 20 March 2024 Mungai Allan Crucial surgeries for women with fistula as Beyond Zero expands scope The Standard Retrieved 20 March 2024 Ochako et al 2011 Utilization of maternal health services among young women in Kenya Insights from the Kenya Demographic and Health Survey 2003 Epuu K G 2010 Determinants of maternal morbidity and mortality Turkana District Kenya Thesis Warren Charlotte Liambila Wilson 1 January 2004 Safe Motherhood Demonstration Project Western Province Final Report Reproductive Health doi 10 31899 rh5 1002 Ziraba Abdhalah Kasiira Madise Nyovani Mills Samuel Kyobutungi Catherine Ezeh Alex 22 April 2009 Maternal mortality in the informal settlements of Nairobi city what do we know Reproductive Health 6 1 6 doi 10 1186 1742 4755 6 6 PMC 2675520 PMID 19386134 S2CID 2320731 kigongo Siki 22 October 2018 Nairobi Urban Health and Demographic Surveillance System NUHDSS APHRC Retrieved 12 January 2024 Essendi Hildah Mills Samuel Fotso Jean Christophe 1 June 2011 Barriers to Formal Emergency Obstetric Care Services Utilization Journal of Urban Health 88 2 356 369 doi 10 1007 s11524 010 9481 1 PMC 3132235 PMID 20700769 S2CID 18731098 Brookman Amissah Eunice Moyo Josephine Banda January 2004 Abortion Law Reform in Sub Saharan Africa No Turning Back Reproductive Health Matters 12 sup24 227 234 doi 10 1016 S0968 8080 04 24026 5 PMID 15938178 S2CID 30640187 a b Gabrysch Sabine Campbell Oona MR 11 August 2009 Still too far to walk Literature review of the determinants of delivery service use BMC Pregnancy and Childbirth 9 1 34 doi 10 1186 1471 2393 9 34 PMC 2744662 PMID 19671156 KNBS 2011 Archived from the original on 25 March 2012 Retrieved 3 April 2012 MMS 2012 Archived from the original on 25 January 2012 Retrieved 3 April 2012 USAID 2010 Kenya Somalia border conflict analysis Warfa Osman Njai Daniel Ahmed Laving Admani Bashir Were Fred Wamalwa Dalton Osano Boniface Mburugu Patrick Mohamed Musa 18 March 2014 Evaluating the level of adherence to Ministry of Health guidelines in the management of Severe Acute Malnutrition at Garissa Provincial General hospital Garissa Kenya The Pan African Medical Journal 17 214 doi 10 11604 pamj 2014 17 214 3821 ISSN 1937 8688 PMC 4163184 PMID 25237411 Boniface Bosire 12 March 2012 Kenya s North Eastern Province Battles High Maternal Mortality Rate Sabahi verification needed a b c d Mwai Daniel Barker Catherine Mulaki Aaron Dutta Arin 2014 Devolution of Healthcare in Kenya Assessing County Health System Readiness in Kenya A Review of Selected Health Inputs PDF Kericho doi 10 13140 RG 2 2 36622 87363 Archived from the original PDF on 29 June 2022 a b Franck Raphael Rainer Ilia May 2012 Does the Leader s Ethnicity Matter Ethnic Favoritism Education and Health in Sub Saharan Africa PDF American Political Science Review 106 2 294 325 doi 10 1017 S0003055412000172 S2CID 15227415 a b Nyaura Jasper Edward 1 June 2018 Devolved Ethnicity in the Kenya Social Economic and Political Perspective European Review of Applied Sociology 11 16 17 26 doi 10 1515 eras 2018 0002 S2CID 150230348 Gutwa Oino Peter Ngunzo Kioli Felix April 2014 Ethnicity and Social Inequality A Source of Under Development in Kenya International Journal of Science and Research 3 4 723 729 a b c d Andrew Simpson ed 2008 Language and national identity in Africa Oxford Oxford University Press ISBN 978 0 19 153681 6 OCLC 227038652 page needed a b Miller Anne Neville 2010 Ethnicity and Patient Doctor Communication in Kenya African Communication Research 3 267 280 a b c Musalia John 1 October 2016 Social capital and health in Kenya A multilevel analysis Social Science amp Medicine 167 11 19 doi 10 1016 j socscimed 2016 08 043 PMID 27597538 Uphoff Eleonora P Pickett Kate E Cabieses Baltica Small Neil Wright John 2013 A systematic review of the relationships between social capital and socioeconomic inequalities in health a contribution to understanding the psychosocial pathway of health inequalities International Journal for Equity in Health 12 1 54 doi 10 1186 1475 9276 12 54 PMC 3726325 PMID 23870068 a b c Wamai Richard G 2009 The Kenya Health System Analysis of the situation and enduring challenges PDF Japan Medical Association Journal 52 2 134 140 Dickens Andrew 1 July 2018 Ethnolinguistic Favoritism in African Politics PDF American Economic Journal Applied Economics 10 3 370 402 doi 10 1257 app 20160066 Kivua Elizabeth 10 February 2022 US private equity firm takes over operations at Nairobi Women s Hospital Business Daily Retrieved 15 February 2022 Gaffney Adam 22 April 2018 The US is entering a golden age of corporate medicine The Guardian Retrieved 6 February 2022 Government of Kenya 2018 National Climate Change Action Plan 2018 2022 Volume II Adaptation Technical Analysis Report PDF Archived from the original PDF on 2 April 2022 Retrieved 26 November 2020 a b c d e Climate And Health Country Profile 2015 Kenya World Health Organization 2016 Retrieved 28 November 2020 a b CLIMATE RISK PROFILE KENYA PDF Climatelinks Retrieved 26 November 2020 External links editThe State of the World s Midwifery Kenya Country Profile Retrieved from https en wikipedia org w index php title Health in Kenya amp oldid 1214697156, wikipedia, wiki, book, books, library,

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