| Literature DB >> 31170983 |
Carmen Anthonj1,2, Peter Giovannini3, Thomas Kistemann4.
Abstract
BACKGROUND: Sub-Saharan African wetlands, settlement areas to growing populations, expose their users to diseases as necessary health infrastructure remains underdeveloped.Entities:
Keywords: Cultural context of health; Health behaviour; Health risk perceptions; Pastoralists; Period prevalence; Sustainable livelihoods framework; Traditional medicine
Mesh:
Year: 2019 PMID: 31170983 PMCID: PMC6554869 DOI: 10.1186/s12914-019-0199-1
Source DB: PubMed Journal: BMC Int Health Hum Rights ISSN: 1472-698X
Fig. 1Health-seeking behaviour in a wetland context
Population and health indicators for Kenya
| Population | Total population | 46,050,414 |
| Population density (pop/km2) | 73.9 | |
| Life expectancy at birth [years] | 53 | |
| Median age [years] | 19.5 | |
| Employment rate [%] | 60 | |
| Literacy rate (aged 15 and older) [%] | 87 | |
| Poverty gap at $1.90 a day [%] | 11.7 | |
| Gini index | 48.51 | |
| Nutrition | Underweight (weight for age) [%] | 11 |
| Stunted (height for age) [%] | 26 | |
| Child health | Under-five mortality rate (deaths per 1000 live births) | 49 |
| Infant mortality rate (dying between birth and age 1 per 1000 live births) | 36 | |
| Immunization among children (12–23 months) [%] | 97 | |
| Maternal health | Total fertility rate (children/woman) | 3.14 |
| Maternal mortality rate (per 1000 live births) | 0.510 | |
| General health | Health expenditures [% of GDP] | 5.7 |
| Total government health funding (per capita) [KES] = USD? | 1585 | |
| National Health Insurance Fund (NHIF) coverage [%] | 26.7 | |
| Physicians density (per 100,000 population) | 0.20 |
Sources: MoH (2015), WHO (2016), KNBS (2015), KDHS (2014)
Fig. 2The study area: the Ewaso Narok Swamp in semiarid Kenya
Fig. 3Rumuruti district hospital admission from December 2013 – December 2014. * The different seasons are illustrated in different colours. Blue shades are used for months in the rainy season. Orange and brown shades are used for months in the dry season
Methodology and data collection on health-seeking behaviour in the Ewaso Narok Swamp
Characterisation of different user groups in Ewaso Narok Swamp
| Smallholder farmers ( | Commercial farmers ( | Pastoralists ( | Service sector ( | |
|---|---|---|---|---|
| Characteristics | ||||
| Household head interviewed (male/female %) | 29/71 | 31/69 | 49/51 | 80/20 |
| Number of household members (mean) | 5 | 5 | 6.5 | 4 |
| Number of children in household (mean) | 2 | 2 | 3 | 1.3 |
| Qualitative description of socio-economic status | medium | medium | low | high |
| School education of respondents (years) | 4 | 7 | 2 | 10 |
| Never attended school (%) | 36.8 | 14.7 | 63.3 | 6 |
Fig. 4Syndromic surveillance of self-reported symptoms in a wetland community of the Ewaso Narok Swamp (n = 400)
Self-reported symptoms in four week recall period, stratified by user groups
| Smallholder farmers ( | Commercial farmers ( | Pastoralists ( | Service sector workers ( | Total ( | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | n | % | n | % | |
|
| ||||||||||
| Abdominal complaints | 39 | 36.8 | 31 | 32.6 | 27 | 27.3 | 32 | 32.0 | 129 | 32.3 |
| Fever | 42 | 39.6 | 38 | 40.0 | 39 | 39.4 | 41 | 41.0 | 160 | 40.0 |
| Skin irritation | 21 | 19.8 | 23 | 24.2 | 13 | 13.1 | 19 | 19.0 | 76 | 19.0 |
| Poor eye condition | 20 | 18.9 | 10 | 10.5 | 20 | 20.2 | 11 | 11.0 | 61 | 15.3 |
Fig. 5Health-seeking behaviour during last self-reported symptoms in February 2015, stratified by user groups [%] (Fig. 5)
Health-seeking behaviour, stratified by symptoms and groups [%]
| by symptom | by group | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Abdominal complaint ( | Fever ( | Skin irritation ( | Eye condition ( | Total ( | Smallholder farmers (263 symp.) | Commercial farmers (211 symp.) | Pastoralists (157 symp.) | Service sector workers (220 symp.) | Total ( | |
| Public facility | 65 | 79 | 71 | 66 | 72 | 75 | 48 | 66 | 84 | 72 |
| Private facility | 20 | 18 | 16 | 16 | 16 | 15 | 25 | 13 | 10 | 16 |
| Chemist | 11 | 2 | 7 | 13 | 9 | 8 | 11 | 12 | 7 | 9 |
| Faith-based provider | 3 | 2 | 5 | 3 | 3 | 2 | 4 | 8 | 0 | 3 |
| Non-governmental provider | 1 | 0 | 0 | 3 | 1 | 1 | 0 | 1 | 0 | 1 |
symp. is usead as an abbreviation and stands for symptom
Fig. 6Health-seeking in the wetland compared to county and national level. * Health-seeking during last self-reported symptom in the Ewao Narok Swamp, own data (2015); ** National data on the district Laikipia and on the national level in Kenya, provided by the Ministry of Health (2015)
Fig. 7Healthcare options in the Ewaso Narok Swamp
Reasons for not seeking healthcare, stratified by symptoms and groups [%]
| by symptom | by group | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Abdominal complaint ( | Fever ( | Skin irritation ( | Eye condition ( | Total ( | Smallholder farmers ( | Commercial farmers ( | Pastoralists ( | Service sector workers ( | |
| Self-treatment with medicine | 32.4 | 28.3 | 26.3 | 7.7 | 26.1 | 34 | 34 | 13 | 48 |
| Self-treatment with herbs / milk | 35.3 | 37.7 | 36.8 | 23.1 | 29.1 | 11 | 8 | 67 | 4 |
| No necessity | 23.5 | 28.3 | 36.8 | 42.3 | 36 | 47 | 45 | 12 | 47 |
| No money | 8.8 | 5.7 | 0 | 23.1 | 7.5 | 8 | 11 | 5 | 1 |
| Distance to facility | 0 | 0 | 0 | 3.8 | 1.3 | 0 | 2 | 3 | 0 |