Skip to main content
Tropical Medicine and Health logoLink to Tropical Medicine and Health
. 2024 Aug 30;52:56. doi: 10.1186/s41182-024-00616-1

Impact of integrated WASH and maternal and child health interventions on diarrhea disease prevalence in a resource-constrained setting in Kenya

Betty Muriithi 1, Ernest Apondi Wandera 1,2,, Rie Takeuchi 3, Felix Mutunga 1, Cyrus Kathiiko 1, Mary Wachira 1, Joseph Tinkoi 4, Mirasine Meiguran 4, Pius Akumu 4, Valeria Ndege 4, Ryoichiro Mochizuki 5, Satoshi Kaneko 1, Kouichi Morita 1, Collins Ouma 6, Yoshio Ichinose 1
PMCID: PMC11363663  PMID: 39215357

Abstract

Background

Water, sanitation and hygiene (WASH) and child health interventions are proven simple and cost-effective strategies for preventing diarrhea and minimizing excess mortality. Individually, they are able to prevent diarrhea though sub-optimally, and their effectiveness when combined may be higher. This study examined the effect of integrated WASH and maternal and child health (MCH) interventions on prevalence of diarrhea, in a resource-limited setting in Kenya.

Methods

A controlled intervention was implemented in Narok County. The interventions included WASH interventions integrated with promotion of MCH. A structured questionnaire was used to collect data on targeted indicators before and after the interventions. Data were analyzed using descriptive statistics and Chi-square to establish the impact of the interventions.

Results

A total of 431and 424 households and 491 and 487 households in intervention and control sites, respectively, participated in the baseline and endline surveys. Following implementation of the interventions, prevalence of diarrhea decreased by 69.1% (95% CI: 49.6–87.1%) and 58.6% (95% CI: 26.6–82.4%) in the intervention and control site, respectively. Treatment of drinking water and animal husbandry practices were significantly associated with diarrhea post-interventions.

Conclusions

Integrating WASH interventions with other diarrhea control strategies and contextualizing them to meet site-specific needs may effectively prevent diarrhea.

Keywords: Diarrhea, Transformative WASH, Nutrition, Maternal and child health, Handwashing

Introduction

Diarrheal diseases bear important implications on child morbidity, mortality and future health. While they still remain an important cause of mortality among children [1, 2], morbidity due to diarrhea is of even greater concern. Diarrheal diseases have an estimated annual disability-adjusted life-years (DALYs) of more than 40 million among children younger than 5 years [3]. Further, frequent diarrhea affects a child’s growth and development and increases susceptibility to other infectious disease due to down regulation of the immune system [3], with downstream effects such as linear growth faltering and impaired cognitive development [4, 5], and potentially initiates a vicious cycle of infection and malnutrition [6].

Being water- and food-borne diseases with a fecal–oral route of transmission, diarrheal diseases have multiple exposure pathways that contribute to ingestion of pathogens [7], through complex mechanisms that include an interplay of fomites, vectors and reservoirs [8]. Hands and drinking water are considered important transmission pathways since they facilitate both direct and indirect exposure to pathogens. However, there is growing evidence that soils are highly contaminated with diarrheal pathogens, particularly of zoonotic origin [9, 10]. Ercumen et al., [11] reported that soil had the highest mean count of E. coli compared to water, hands, food and flies, while Kwong et al., [7] identified direct ingestion of soil as a primary pathway of ingesting E. coli, suggesting that soils are heavily contaminated with diarrhea pathogens, and may also act as reservoirs, driving continuous transmission.

Major fecal–oral routes are affected by water, sanitation and hygiene strategies that disrupt transmission along such routes. Formative research, however, highlights geophagy and transmission through fomites as critical transmission routes especially among children [12, 13], that not only bear high concentrations of pathogens, but also remain relatively unchanged by core WASH strategies [7]. Consequently, use of toilets and handwashing can prevent contamination of the environment with fecal pathogens or reduce ingestion of pathogens, but contamination by animal feces may be prevalent and continuously drive transmission. Additionally, adherence to good WASH practices is low in most vulnerable settings, which renders WASH interventions ineffective.

Current evidence therefore suggest that WASH interventions alone are not sufficient to disrupt transmission and minimize exposure to diarrheal pathogens [14, 15], since these do not traverse all transmission pathways. A systematic review [16] showed that WASH interventions reduce the risk of diarrhea infection by 27–53% among children aged below five years, suggesting substantial though suboptimal capacity to prevent diarrhea on their own. Exposure landscapes also differ widely and interventions that prove effective in one setting may not necessarily work in a different setting. Luby et al., [17] consequently reported that WASH interventions resulted to risk reduction of diarrhea infection in Bangladesh but failed to prevent infection in Kenya and Zimbabwe [18] in a controlled trial of combined diarrhea prevention interventions. Moreover, while it is clear that WASH interventions have capacity to lower exposure to diarrhea pathogens, it is evident that their implementation requires a comprehensive approach that is multidimensional in nature, encompassing not only transmission and exposure dynamics, but also societal constructs in order to sustain exposure prevention. Additionally, interventions must address infant-specific risk factors [19], particularly infant and young child health and feeding, and hygiene of child play spaces that traditional interventions have underexplored.

Considering exposure profile and dynamics of transmission of diarrhea diseases, the World Vision designed the Mother-to-Mother support project by combining diarrhea prevention strategies into an integrated and targeted WASH intervention, including water, sanitation and maternal and child health (MCH) with infant and child nutrition interventions in a resource-limited setting in Kenya. It was hypothesized that promoting antenatal care attendance, utilization of maternity services, childhood vaccination and child nutrition would improve health of children, reducing their susceptibility to infections, with WASH interventions enabling separation of persons from diarrhea pathogens and collectively disrupting transmission of diarrhea (Fig. 1). This study evaluated the impact of these interventions on the prevalence of diarrhea.

Fig. 1.

Fig. 1

Conceptual framework of the project. The integrated water, hygiene and sanitation (WASH), maternal and child health (MCH), and child nutrition interventions would prevent exposure of children to diarrhea and improve their health and nutrition, with cumulative positive impact on prevention of childhood diarrhea

Materials and methods

Study site

The study was conducted in Narok South, Narok County, located in southwestern Kenya. The County lies within an arid and semi-arid region. Access to clean water is poor, coupled with relatively poor sanitation and hygiene conditions. Pastoralism is the main source of livelihood although subsistence crop farming is practiced in some areas. Health infrastructure is weak, with an average distance of more than 10 km between health facilities [20]. Utilization of health facilities particularly MCH services is low [21]. Nutritional status among children is rated medium with severe acute malnutrition [22] and stunting being the most prevalent forms of malnutrition [23, 24].

The project was implemented in Elangata-Enterit location while Maji-Moto location served as the control site. The intervention site was chosen because of its poor WASH conditions and poor child health rating. Maji-Moto was selected as the control site because its socio-economic status was similar to the intervention site. It is also geographically separated from the intervention site, which minimized control site contamination. The intervention site consisted of 11 villages spanning 3 sub-locations and is predominantly rural. The control site is located close to Narok town and had 9 villages. The area is predominantly rural with one semi-urban area. Communal land tenure was practiced in both sites although individual land tenure was later adopted in the control site during the intervention duration. Settlements were mostly temporary in the intervention site and semi-permanent in the control site, and land was largely used for livestock keeping. Each area is served by one public health facility.

Study design

A controlled intervention study was conducted. A baseline survey was conducted in February 2018 in both sites to generate baseline information from which interventions were designed. All interventions were implemented from April 2018 to March 2021. An endline survey was thereafter conducted to evaluate the impact of the interventions.

Study population

All households in Elangata-Enterit location were targeted by the interventions while all households in Maji-Moto location served as source population for the control arm. Study participants for both baseline and endline surveys were households with at least one child under the age of five years.

Interventions

WASH interventions, including interventions for promotion of good animal husbandry practices combined with interventions aimed at improving MCH were implemented. The MCH interventions aimed to improve health seeking practices and increase utilization of health services, which would promote health of children from birth, while WASH interventions targeted household and environmental hygiene and sanitation.

A mega borehole was drilled at a central location in the intervention site and piped to surrounding schools, health facility and several water vending points in the community to improve access to clean water. The project also facilitated construction of toilets and handwashing structures in public spaces in collaboration with local authorities. The health facility at the intervention site was upgraded too. A maternity wing was constructed, together with a well-equipped laboratory. The outpatient clinic was also expanded to accommodate a MCH clinic.

The WASH interventions targeted domestic water quality, handwashing, treatment of drinking water, proper disposal of human feces and promotion of human–livestock separation. The MCH interventions aimed at increasing antenatal care attendance, delivery at the health facility, child vaccination and utilization of the health facility for management of childhood illnesses. These interventions were supplemented by a monthly mobile clinic in each location that offered immunization services, antenatal and postnatal check-ups and nutrition counselling.

The project further established structures for community education, consisting of community health volunteers (CHVs), three Citizen Voice and Action (CVA) groups and mother-to-mother support groups. The CHVs were recruited from within the community health strategy while the CVA groups consisted of local authority and key opinion leaders. The mother-to-mother support groups consisted of mothers and influential female figures in the community. Their role was to relay key messages at household and community levels on WASH, prenatal health, health facility delivery, child vaccination, exclusive breastfeeding and young child feeding, and good animal husbandry practices. These groups were all trained accordingly before roll-out of the interventions [25]. Three refresher trainings were conducted every project year to ensure that community education was conducted correctly. Continued community education focused on providing knowledge on when and how to perform targeted behaviors and practices, towards stimulating and sustaining habitual performance of desired practices.

Sampling

Sample size was calculated based on the double population formula, at 95% CI, assuming a power of 80%, a ratio of unexposed to exposed of 1:1, and percent of outcome in unexposed of 50% and 65% in exposed group, to obtain the minimum sample. Given the scope of the interventions and the relatively large source population, a final sample size of 431 and 424 households and 491 and 487 households in the intervention and control site, at baseline and endline surveys, respectively, was reached. Sampling was done using proportionate sampling. There being a finite number of households in each village in both sites, villages were used as a baseline cluster to allocate the number of households to be sampled in every village. All villages were eligible to participate in the survey since they all consumed the interventions or all acted as controls. Within the villages, households were selected randomly. A household was required to be having at least one child under the age of five years in order to be included in the study.

Data collection

A structured questionnaire that was developed based on outputs of the project and desired outcomes was used to collect data. Respondents were any adult member of a selected household. The questionnaire examined occurrence of diarrhea, demographic characteristics, MCH practices, childhood nutrition status and WASH practices. Occurrence of diarrhea at household level was established by asking whether the youngest child had experienced diarrhea in the two weeks prior to each survey. MCH practices were established by examining ANC attendance, place of delivery, breastfeeding practices, awareness and uptake of rotavirus vaccine, and attendance to postnatal care. Child’s mid upper-arm circumference was also measured, by specially trained enumerators using standard anthropometric tools to establish nutrition status. Source of water for the household in both rainy and dry season, water treatment, disposal of human feces, animal husbandry practices and handwashing were examined to establish WASH practices before and after interventions. Evaluation of handwashing focused on handwashing before eating and handling food only. Toilet coverage and usage was very low at the start of the interventions, coupled with social norms surrounding handling of human feces that were projected to affect outcomes. Examining handwashing after toilet usage was therefore excluded to minimize social desirability bias, especially after the interventions.

Data analysis

Data were analyzed using STATA 14. Descriptive statistics were used to describe samples, establish distributions and calculate prevalence of diarrhea. Chi-square test was used to establish association between intervention cluster indicator and the outcome variable post-interventions, to establish effectiveness of the intervention. For all analyses, p < 0.05 was considered statistically significant.

Results

Demographic characteristics of study participants

A total of 431and 424 households and 491 and 487 households in the intervention and control sites, respectively, participated in the baseline and endline surveys. Majority of the respondents in both surveys were female, who had mostly never attended school. Mean household size increased from 3.5 (1–10) to 5.3 (2–12) in the intervention site and from 3.3 (1–9) to 6.1 (2–14) in the control site from baseline period to endline survey. Number of malnourished children in the intervention site decreased from 25 (6.6%) to 9 (2.2%) after the interventions. Decrease in the number of malnourished children was higher in the intervention site (Table 1).

Table 1.

Household characteristics in the intervention and control sites, before and after the interventions

Variable Intervention Control
Baseline n = 431 (%) Endline n = 491 (%) Baseline n = 424 (%) Endline n = 478 (%)
Gender of respondents
 Male 11 (2.5) 6 (1.2) 18 (4.3) 3 (0.6)
 Female 420 (97.5) 485 (98.8) 406 (95.7) 484 (99.4)
Mean age 32.8 (19–78 years) 29.3 (16–56 years) 32.8 (19–81 years) 27 (15–50 years)
Highest level of education attended
 Never attended school 388 (90.0) 422 (85.9) 337 (79.5) 327 (67.2)
 Primary school 38 (8.8) 29 (5.9) 71 (16.7) 29 (5.6)
 Secondary and above 5 (1.2) 40 (8.1) 16 (3.8) 131 (27.9)
Mean number of household members (range) 3.5 (1–10) 5.3 (2–12) 3.3 (1–9) 6.1 (2–14)
Age of children*
 0–11 103 (27.4) 138 (28.2) 50 (11.4) 139 (28.7)
 12–23 43 (11.4) 128 (26.1) 72 (16.4) 117 (24.1)
 24–35 74 (19.7) 121 (24.6) 115 (26.5) 93 (19.2)
 36 and above 156 (41.5) 104 (21.2) 202 (46.0) 136 (28.0)
Source of livelihood
 Livestock keeping 395 (91.6) 453 (92.3) 356 (84.0) 368 (75.6)
 Crop growing 9 (2.1) 30 (6.1) 24 (5.7) 64 (13.1)
 Employed 26 (6.0) 6 (1.2) 42 (9.9) 44 (9.0)
Middle upper arm circumference**
 Malnourished 25 (6.6) 9 (2.2) 15 (3.5) 14 (3.4)
 At risk of malnutrition 74 (19.7) 52 (12.4) 50 (11.4) 36 (8.8)
 Normal MUAC 277 (73.7) 357 (85.4) 374 (85.2) 361 (87.8)

*n of number of children was 376 in the intervention site and 439 in the control site at baseline

**n of MUAC during endline survey was 418 in the intervention site and 411 in control site

Baseline and endline characteristics of the control and intervention sites

Access to improved water sources before the interventions was low, especially in the intervention site. Households that treated drinking water were also few before the interventions, increasing from 36.7% to 47.8% of the households in the intervention site. A decrease in the number of households that treated drinking water was observed in the control site after the interventions. Households in which all children had completed rotavirus vaccination increased in the intervention site relative to the control site post-interventions, while optimal attendance to ANC increased in the intervention site and decreased in the control site. Usage of a toilet for disposal of human feces was low, especially in the intervention site, and increased modestly post-interventions. Handwashing before eating and before preparing food decreased in both sites after the interventions (Table 2).

Table 2.

Baseline and endline characteristics of the control and intervention sites

Characteristic Intervention site Control site
Baseline n = 431 (%) Endline n = 491 (%) Baseline n = 424 (%) Endline n = 487 (%)
Households that utilized improved water sources during the dry season 37 (8.6) 175 (35.6) 113 (26.6) 136 (27.9)
Households that utilized improved water sources during the rainy season 109 (25.3) 418 (86.2) 156 (36.8) 425 (87.6)
Households that practiced treatment of drinking water 158 (36.7) 64 (47.8) 198 (46.7) 25 (41.0)
Households that used a toilet for disposal of human feces 6 (1.4) 45 (9.2) 81 (19.1) 143 (29.4)
Households that disposed a child's recent stool safely 15 (3.7) 94 (19.4) 58 (13.9) 126 (25.9)
Participants who perceived open defecation as a risk for diseases in the community 356 (82.6) 310 (63.1)  380 (89.6) 384 (78.8)
Households that housed livestock in dwelling house 122 (28.3) 155 (32.1) 47 (11.1) 75 (17.8)
Households that housed livestock in a fenced shed within the home 69 (16.0) 461 (95.5) 22 (5.2) 390 (92.4)
Households that housed livestock in free range 316 (73.3) 43 (8.9) 356 (84.0) 37 (8.8)
Respondents who washed their hands before eating 412 (95.6) 409 (83.3) 415 (97.8) 436 (89.5)
Respondents who washed their hands before preparing food 387 (89.8) 415 (84.5) 396 (93.4) 398 (81.7)
Respondents who delivered youngest child in a health facility 19 (4.6) 238 (48.7) 40 (9.5) 257 (53.1)
Respondents who were aware of the rotavirus vaccine 273 (63.3) 361 (73.5) 341 (80.4) 320 (65.7)
Children who had completed rotavirus vaccination 165 (38.3) 324 (89.7) 204 (48.1) 219 (68.9)
Children with incomplete rotavirus vaccination 88 (20.4) 18 (5.0) 118 (27.8) 73 (23.0)
Respondents who attended more than 4 ANCs in last pregnancy 208 (48.3) 295 (60.1) 295 (69.6) 273 (55.9)
Respondents who attended PNC after last pregnancy 272 (63.1) 287 (58.5) 397 (93.6) 190 (39.2)
Children who were exclusively breastfed 278 (64.5) 376 (77.7) 121 (28.5) 406 (84.4)

Prevalence of diarrhea at baseline and endline surveys

Prevalence of diarrhea over two weeks preceding the baseline survey was higher in the intervention site compared to the control site (Fig. 2). Prevalence decreased from 20.4% (95% CI: 16.7–25.5%) to 6.3% (95% CI:4.3–8.8%) and from 9.9% (95% CI: 7.2–13.2%) to 4.1% (95% CI: 2.5–6.3%) in the intervention and control sites, respectively, after the interventions. This represented a diarrhea disease decrease of 69.1% (95% CI: 49.6–87.1%) and 58.6% (95% CI: 26.6–82.4%) in the intervention and control sites, respectively.

Fig. 2.

Fig. 2

Prevalence of diarrhea before interventions was 20.4% (n = 431) and 9.9% (n = 424) in the intervention and control sites, respectively. After the interventions, prevalence decreased to 6.3% (n = 491) and 4.1% (n = 487) in the intervention and control sites, respectively

Impact of the interventions on diarrhea

After the interventions, 47.8% of the households in the intervention site were practicing treatment of drinking water and treatment of drinking water was significantly associated with occurrence of diarrhea (p = 0.034). More households (95.5%) in the intervention site were housing their livestock in a secluded shed within the home compound with much less (8.9%) practicing free-range husbandry, and these were significantly associated with occurrence of diarrhea as shown on Table 3 (p = 0.001 and p =  < 0.001, respectively). Increase in attendance to ANC and PNC was higher in the intervention site compared to control site although they were not significantly associated with occurrence of diarrhea.

Table 3.

Impact of the interventions on diarrhea

Characteristic Category Intervention n = 491 (%) p-value Control n = 487 (%) p-value
Dry season water source Improved 175 (35.6) 0.684 136 (27.9) 0.072
Unimproved 316 (64.4) 351 (72.1)
Rainy season water source Improved 418 (86.2) 0.355 425 (87.6) 0.307
Unimproved 67 (13.8) 60 (12.4)
Treatment of drinking water Treated water 64 (47.8) 0.034 25 (41.0) 0.226
Did not treat water 70 (52.2) 36 (59.0)
Disposal of human feces Used a toilet 45 (9.2) 0.165 143 (29.4) 0.292
Didn't  use a toilet 446 (90.8) 344 (70.6)
Disposal of a child’s stool Safe 94 (19.4) 0.659 126 (25.9) 0.012
Unsafe 397 (80.9) 361 (74.1)
Perception of open defecation as a risk for diseases Risk 310 (63.1) 0.264 384 (78.8) 0.02
Not a risk 8 (1.6) 18 (3.7)
Don’t know 173 (35.2) 85 (17.5)
Housing livestock In dwelling 155 (32.1) 0.579 75 (17.8) 0.526
In a fenced shed 461 (95.5) 0.001 390 (92.4) 0.228
Free range 43 (8.9) < 0.001 37 (8.8) 0.668
Handwashing before eating Yes 409 (83.3) 0.057 436 (89.5) 0.412
No 82 (16.7) 51 (10.5)
Handwashing before preparing food Yes 415 (84.5) 0.682 398 (81.7) 0.433
No 76 (15.5) 89 (18.3)
Place of delivery Health facility 238 (48.7) 0.686 257 (53.1) 0.459
Home 251 (51.3) 227 (46.9)
Rotavirus vaccine awareness Aware 361 (73.5) 0.177 320 (65.7) 0.67
Not aware 130 (26.5) 167 (34.3)
Rotavirus vaccination All children completed 324 (89.7) 0.366 219 (68.9) 0.703
Not all children completed 18 (5.0) 73 (23.0)
No child vaccinated 11 (3.0) 24 (7.5)
ANC attendance ≥ 4 ANC visits 295 (60.1) 0.948 273 (55.9) 0.476
< 4 ANC visits 169 (34.4) 192 (39.6)
Never attended ANC 27 (5.5) 22 (4.5)
Attendance to PNC Attended PNC 287 (58.5) 0.673 190 (39.2) 0.391
Did not attend PNC 204 (41.55) 295 (60.8)
Breastfeeding status of youngest child Exclusive 376 (77.7) 0.753 406 (84.4) 0.941
Supplemented 108 (22.3) 75 (15.6)

Discussion

This study implemented an integrated WASH and MCH intervention in a low-income setting, incorporating interventions for provision of safe water for domestic use, household and environmental sanitation and hygiene, and improved antenatal and postnatal care for mothers and children. The interventions successfully improved WASH and MCH indicators in the intervention site. Prevalence of diarrhea decreased by 69.1% and 58.6% in the intervention and control sites, respectively, after the interventions. Water treatment and good animal husbandry practices were significantly associated with occurrence of diarrhea in the intervention site post-interventions.

More households in the intervention site treated drinking water, compared to the control site after the intervention period. The mother-to-mother project undertook continued sensitization of the community on the importance of water treatment at both household and community levels, that possibly prompted more households to treat drinking water. Moreover, Wandera et al., [26] observed fecal coliforms in water sampled at the point of use even after improvement of water sources implying persistence of microbial contaminants in domestic water. Treating water for drinking has been shown to significantly lower the risk of diarrhea [14, 27], and capacity of various water treatment methods to eliminate pathogens from drinking water has been demonstrated [28, 29]. Drinking water may therefore be a major diarrhea transmission pathway in this population, and water treatment may be an effective intervention for preventing diarrhea. Consequently, increased access to improved water source during both rainy and dry seasons was not significantly associated with diarrhea, suggesting that improving water sources alone may not be sufficient to prevent diarrhea in this setting.

The study further observed a substantial decrease in cohabitation with livestock and a shift from housing livestock in free-range within the home compound to housing them in a secluded enclosure within the home compound in the intervention site. Animal feces contaminates water and soil and are associated with increased risk for diarrhea and environmental enteropathy [11], with widespread contamination in settings where free-range animal husbandry practices are common. This being a pastoralist community, it is possible that soils and waters were substantially contaminated with pathogens from animal feces. Contamination by animal feces may have exceeded contamination by human feces, since usage of toilets for defecation and safe disposal of children’s feces were not significantly associated with diarrhea, despite considerable increase in access to toilets post-interventions. This finding implies that in settings where children’s likelihood of contact with and ingestion of soil is high, and where human–livestock contact is high, managing fecal contamination of the soil by livestock feces may deliver additional benefits over addressing contamination of the environment by human feces only.

The study did not observe desired improvements in handwashing practices, despite the critical role of hands in completing the diarrhea transmission chain. Handwashing interventions sought to promote handwashing before eating and before preparing food. Reported handwashing at targeted moments decreased after the intervention period in both sites, remaining slightly higher in the control site compared to the intervention site. Bias due to self-reported handwashing possibly contributed to high rates of handwashing before the interventions, as respondents may have given socially acceptable reports. Post-interventions, the study relied on the presence of a handwashing station as a proxy for handwashing, possibly resulting to observed low adherence to handwashing. Besides reporting bias, observed handwashing pattern could be due to perceived relative importance of washing hands, given water scarcity and low literacy characteristic of this population, or due to factors such as convenience in location of handwashing station [30]. Moreover, adherence to handwashing is extensively dependent on sustained behavior change that requires high inputs and intensive contact [18, 31] and preferably more intensive strategies of stimulating behavior change [32] that were not achievable within the scope of this study. Higher rates of handwashing in the control site was possibly due to unstructured improvements in socio-economic conditions.

Integrating WASH with MCH interventions in this study may have contributed to the observed decline of diarrhea at the end of the interventions. Targeted WASH and MCH indicators improved substantially, although only two interventions were prominently associated with diarrhea post-interventions. Generally, causes of diarrhea are multifaceted, implying the need for multisectoral and integrated approaches to address exposure. WASH interventions have therefore been proven capable of reducing exposure to diarrheal pathogens [33, 34] but have yielded mixed results in prevention of diarrhea [18, 31, 35]. Since combining interventions addresses multiple routes of transmission simultaneously, the interventions may have benefited from potential synergy achieved by implementing interventions in combination [36]. Targeting of interventions also possibly explains observed outcomes, since the interventions were specifically designed to address access to safe water for domestic use and poor child health ratings in a low-resource context with high human–livestock contact, as core exposures to diarrhea. Customizing the interventions to match prevailing conditions within the study population allowed for targeting of dominant transmission pathways that probably disrupted transmission. Unlike conventional WASH interventions, this study also targeted environmental contamination by livestock feces that have been shown to be an important source of environmental contaminants [11, 37], which was potentially high in the intervention site due to free-range livestock keeping practice. Given mouthing tendency of children, in a possibly highly contaminated environment, this study further focused on maintenance of play space hygiene to reduce exposure to pathogens, coupled with building child health through promoting vaccine uptake and child nutrition to increase immunity to infection. The interventions therefore not only disrupted transmission of diarrheal pathogens, but also potentially reduced fecal contamination in the environment, that collectively may have lowered occurrence of diarrhea.

Findings of this study contrast recent studies [17, 31, 38, 39], that showed that combining WASH interventions with nutritional interventions did not have significant protective effect against diarrhea. Those interventions possibly failed to reduce transmission of diarrhea pathogens due to high baseline prevalence of diarrhea [38], low intervention dose and adherence [31], coverage of intervention and the generally high fecal contamination in the environment [18]. Moreover, numerous studies have shown that exposure landscapes are diverse and a unique mix of interventions may be required in each setting or even season, which was probably not considered during design of these interventions. Our findings therefore suggest that a multidimensional targeted approach may be beneficial in design of WASH interventions, with careful consideration of prevailing WASH and exposure conditions.

This project had some limitations that might have influenced its results. First, private land tenure was adopted in the control site shortly after the project began that promoted permanent settlements, resulting to improvement of social and economic conditions. Improvement of some of the targeted outcomes was therefore observed in both sites substantially masking the true effect of the intervention. Secondly, the project utilized a non-randomized and observational approach that is susceptible to confounders and has little capacity of detecting small changes. Finally, outbreak of COVID-19 may have affected effective application of community education interventions following orders against social gatherings, during which messages on targeted behavior were passed. The COVID-19 restrictions also minimized household visits which substantially reduced contact between health educators and households, with a potential possibility of hindering stimulation of behavior change and hence uptake and adherence to some interventions.

Conclusion

Treatment of drinking water alongside good animal husbandry practices potentially lowered exposure to diarrhea prevalence resulting to decreased prevalence of diarrhea post-interventions. These outcomes suggest that contextualizing diarrhea interventions to fit prevailing exposure conditions and implementing them in combination may effectively prevent transmission of diarrhea.

Acknowledgements

We acknowledge the Director of KEMRI for supporting implementation of this project. We thank World Vision Kenya and World Vision Japan for providing part of the funding used to implement this project and implementing the intervention phase. We acknowledge the support and partnership of the Narok County Government, the study subjects and Elangata-Enterit and Maji-Moto communities in the implementation of the intervention and study. We acknowledge with gratitude Shionogi Co. Ltd for funding and coordinating the project.

Abbreviations

WASH

Water, sanitation and hygiene

MNCH

Maternal, neonatal and child health

DALY

Disability-adjusted life year

KDHS

Kenya Demography and Health Survey

ECD

Early childhood development

CHVs

Community health volunteers

CVA

Citizen Voice and Action

IYCF

Infant and young child feeding

CHEWs

Community health extension workers

WHO

World Health Organization

COVID-19

Corona virus disease 2012

Author contributions

YI, KM, RM, and JT secured funding, YI, CO, KM, RT and RM conceptualized the study. JT, MM, PA, VN, RM, BM, EAW, FM, CK and MW implemented and supervised the study, and BM, EAW and RT conducted data analysis and drafted the manuscript. All authors reviewed the study and approved it for publication.

Funding

This study was funded by Shionogi & CO. Ltd., World Vision Japan and World Vision Kenya.

Availability of data and materials

Data and materials used to conduct this study can be available on request to the corresponding author.

Declarations

Ethics approval and consent to participate

Scientific and ethical approval for this study was obtained from Maseno University Ethics Review Committee (Reference Number MSU/DRPI/MUERC/00492/17). Informed written consent was sought from participants before engaging them in the study. Permission for participation of children was sought from their parents or guardians and verbal assent obtained from children wherever possible. Consent to publish results was obtained too. All procedures of this study were conducted in accordance with relevant guidelines and regulations.

Competing interests

There were no competing interests in implementation of this study.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.GBD 2017 Diarrhoeal Disease Collaborators. Quantifying risks and interventions that have affected the burden of diarrhoea among children younger than 5 years: an analysis of the Global Burden of Disease Study 2017. Lancet Infect Dis. 2020;20:37–59. [DOI] [PMC free article] [PubMed]
  • 2.Collaborators G 2017 C of D. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1980–2017. [DOI] [PMC free article] [PubMed]
  • 3.Wierzba TF, Muhib F. Exploring the broader consequences of diarrhoeal diseases on child health. Lancet. 2018;6(3):e230–1. 10.1016/S2214-109X(18)30047-0. 10.1016/S2214-109X(18)30047-0 [DOI] [PubMed] [Google Scholar]
  • 4.Brander RL, Pavlinac PB, Walson JL, John-stewart GC, Weaver MR, Faruque ASG, et al. Determinants of linear growth faltering among children with moderate-to-severe diarrhea in the Global Enteric Multicenter Study. 2019;1–16. [DOI] [PMC free article] [PubMed]
  • 5.George CM, Perin J, Parvin T, Bhuyian MSI, Thomas ED, Monira S, et al. Diarrhea prevalence and child growth faltering are associated with subsequent adverse child developmental outcomes in Bangladesh (CHoBI7 Program). Am J Trop Med Hyg. 2021;106(1):233–8. 10.4269/ajtmh.21-0767 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Guerrant RL, Deboer MD, Moore SR, Scharf RJ, Aldo AM. The impoverished gut—a triple burden of diarrhoea, stunting and chronic disease and chronic disease. Nat Reve Gastroenterol Hepatol. 2013;10(4):220–9. 10.1038/nrgastro.2012.239 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kwong LH, Ercumen A, Pickering AJ, Arsenault JE, Islam M, Parvez SM, et al. Ingestion of fecal bacteria along multiple pathways by young children in rural Bangladesh participating in a cluster-randomized trial of water, sanitation, and hygiene interventions (WASH Bene fits). Environ Sci Technol. 2020;54:13828–38. 10.1021/acs.est.0c02606 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Pickering AJ, Ercumen A, Arnold BF, Kwong LH, Parvez SM, Alam M, et al. Fecal Indicator Bacteria along Multiple Environmental Transmission Pathways (Water, Hands, Food, Soil, Flies) and Subsequent Child Diarrhea in Rural Bangladesh. 2018; [DOI] [PMC free article] [PubMed]
  • 9.Baker KK, Senesac R, Sewell D, Sen Gupta A, Cumming O, Mumma J. Fecal fingerprints of enteric pathogen contamination in public environments of Kisumu, Kenya, associated with human sanitation conditions and domestic animals. Environ Sci Technol. 2018;52(18):10263–74. 10.1021/acs.est.8b01528. 10.1021/acs.est.8b01528 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Fuhrmeister ER, Ercumen A, Pickering AJ, Jeanis KM, Ahmed M, Brown S, et al. Predictors of enteric pathogens in the domestic environment from human and animal sources in rural Bangladesh. Environ Sci Technol. 2019;53(17):10023–33. 10.1021/acs.est.8b07192. 10.1021/acs.est.8b07192 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ercumen A, Pickering AJ, Kwong LH, Arnold BF, Parvez SM, Alam M, et al. Animal feces contribute to domestic fecal contamination: evidence from E. coli measured in water, hands, food, flies, and soil in Bangladesh. Environ Sci Technol. 2017;51:8725–34. 10.1021/acs.est.7b01710 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Medgyesi D, Sewell D, Senesac R, Cumming O, Mumma J, Id KKB. The landscape of enteric pathogen exposure of young children in public domains of low-income, urban Kenya: the influence of exposure pathway and spatial range of play on multi-pathogen exposure risks. PLoS Negl Trop Dis. 2019;13(3):1–21. 10.1371/journal.pntd.0007292 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Monira S, Bhuyian SI, Parvin T, Uddin IM, Zohura F, Sultana M, et al. Child mouthing of soil and presence of animals in child sleeping spaces are associated with growth faltering among young children in Dhaka, Bangladesh (CHoBI7 Program ). Trop Med Int Heal. 2020;25(8):1016–23. 10.1111/tmi.13417 [DOI] [PubMed] [Google Scholar]
  • 14.Colston JM, Faruque AS, Saha D, Kanungo S, Hossain J, et al. Associations between household-level exposures and all-cause diarrhea and pathogen-specific enteric infections in children enrolled in five sentinel surveillance studies. Int J Environ Res Public Health. 2020;17(21):8078. 10.3390/ijerph17218078 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wolf J, Hunter PR, Freeman MC, Cumming O, Clasen T, Bartram J. Impact of drinking water, sanitation and handwashing with soap on childhood diarrhoeal disease: updated meta-analysis and meta-regression. Trop Med Int Heal. 2018;23(5):508–25. 10.1111/tmi.13051 [DOI] [PubMed] [Google Scholar]
  • 16.Darvesh N, Das JK, Vaivada T, Gaffey MF, Rasanathan K, Bhutta ZA. Water, sanitation and hygiene interventions for acute childhood diarrhea: a systematic review to provide estimates for the Lives Saved Tool. BMC Public Health. 2017;17(Suppl 4). [DOI] [PMC free article] [PubMed]
  • 17.Luby SP, Rahman M, Arnold BF, Unicomb L, Ashraf S, Winch PJ, et al. Effects of water quality, sanitation, handwashing, and nutritional interventions on diarrhoea and child growth in rural Bangladesh: a cluster randomised controlled trial. Lancet Glob Heal. 2018;6(3):e302–15. 10.1016/S2214-109X(17)30490-4. 10.1016/S2214-109X(17)30490-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Pickering AJ, Null C, Winch PJ, Mangwadu G, Arnold BF, Prendergast AJ, et al. The WASH Benefits and SHINE trials: interpretation of WASH intervention effects on linear growth and diarrhoea. Lancet Glob Heal. 2019;7(8):e1139–46. 10.1016/S2214-109X(19)30268-2. 10.1016/S2214-109X(19)30268-2 [DOI] [PubMed] [Google Scholar]
  • 19.Vila-guilera J, Parikh P, Chaturvedi H, Ciric L, Lakhanpaul M. Towards transformative WASH: an integrated case study exploring environmental, sociocultural, economic and institutional risk factors contributing to infant enteric infections in rural tribal India. BMC Public Health. 2021;21:1–15. 10.1186/s12889-021-11353-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Nduba J, Nyagero J, Akach B, Mbiti E, Mutua J. Effectiveness of expanded delivery mechanisms / channels and empowerment of caregivers in improving access of ORS and Zinc in Narok. 2015.
  • 21.Kenya demography and health survey. Kenya demography and health survey 2014. 2014.
  • 22.Kimere C. Integrated nutrition smart survey report; Narok County. 2018. Available from: http://www.nutritionhealth.or.ke/wp-content/uploads/SMARTSurveyReports/NarokCountySMARTSurveyReport-February2018.pdf.
  • 23.Koini SM, Ochola S, Ogada IA. Social-cultural factors and complementary feeding of children 6–23 months among the Maasai in Narok South Kenya. J Heal Med Nurs. 2019;62:170–7. [Google Scholar]
  • 24.Brigid KC, Wesley B, Jane S. Dietary practices and nutrition status of infants born to adolescent mothers in Transmara West, Narok County, Kenya. Int J Innov Researd Dev. 2020;9(6).
  • 25.Project M to MS. Mother to Mother Project. 2021. Available from: https://www.shionogi.com/global/en/sustainability/society/social-contribution-activities/mtom.html.
  • 26.Wandera EA, Muriithi B, Kathiiko C, Mutunga F, Wachira M, Mumo M, et al. Impact of integrated water, sanitation, hygiene, health and nutritional interventions on diarrhoea disease epidemiology and microbial quality of water in a resource-constrained setting in Kenya: a controlled intervention study. Trop Med Int Heal. 2022;27:669. 10.1111/tmi.13793 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Wolf J, Hubbard S, Brauer M, Ambelu A, Arnold BF, Bain R, et al. Effectiveness of interventions to improve drinking water, sanitation, and handwashing with soap on risk of diarrhoeal disease in children in low-income and middle-income settings: a systematic review and meta-analysis. Lancet. 2022;400:48–59. 10.1016/S0140-6736(22)00937-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Mohamed H, Clasen T, Njee RM, Malebo HM, Mbuligwe S, Brown J. Microbiological effectiveness of household water treatment technologies under field use conditions in rural Tanzania. Trop Med Int Heal. 2016;21(1):33–40. 10.1111/tmi.12628. 10.1111/tmi.12628 [DOI] [PubMed] [Google Scholar]
  • 29.Makhuvele R, Lydia K, Moganedi M. Efficiency and applicability of low cost home-based water treatment strategies in a rural context Rhulani Makhuvele and Kgabo Lydia Maureen Moganedi. JBiolSci. 2019;19:339–46. [Google Scholar]
  • 30.Biswas D, Nizame FA, Sanghvi T, Roy S, Luby SP, Unicomb LE. Provision versus promotion to develop a handwashing station: the effect on desired handwashing behavior. BMC Public Health. 2017;17(390):1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Humphrey JH, Mbuya MNN, Ntozini R, Moulton LH, Stoltzfus RJ, Tavengwa NV, et al. Independent and combined effects of improved water, sanitation, and hygiene, and improved complementary feeding, on child stunting and anaemia in rural Zimbabwe: a cluster-randomised trial. Lancet Glob Heal. 2019;7(1):132–47. 10.1016/S2214-109X(18)30374-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Huang HC, Le N, Battle M, Villasenor JM, Maule L. Nudging handwashing among primary school students in the Philippines: evidence from a cluster randomized trial. AM J Trop Med Hyg. 2021;00(00):1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kang J-Y, Aldstadt J. Examining time-dependent effects of water, sanitation, and hygiene (WASH) interventions using an agent-based model. Trop Med Int Heal. 2019;24(8):962–71. 10.1111/tmi.13280. 10.1111/tmi.13280 [DOI] [PubMed] [Google Scholar]
  • 34.Ercumen A, Mertens A, Arnold BF, Benjamin-Chung J, Hubbard AE, Ahmed MA, et al. Effects of single and combined water, sanitation and handwashing interventions on fecal contamination in the domestic environment: a cluster-randomized controlled trial in rural Bangladesh. Environ Sci Technol. 2018;52(21):12078–88. 10.1021/acs.est.8b05153. 10.1021/acs.est.8b05153 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Grembi JA, Lin A, Karim A, Islam O, Miah R, Arnold BF, et al. Effect of water, sanitation, handwashing, and nutrition interventions on enteropathogens in children 14 months old : a cluster-randomized controlled trial in rural Bangladesh. J Infect Dis. 2020;227(3):434–47. 10.1093/infdis/jiaa549 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Brice B, Coville A, Gertler P, Martinez S. Are there synergies from combining hygiene and sanitation promotion campaigns: evidence from a large-scale cluster- randomized trial in rural Tanzania. PLoS ONE. 2017;12(11):1–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Ngure F, Gelli A, Becquey E, Ganaba R, Headey D, Huybregts L, et al. Exposure to Livestock Feces and Water Quality, Sanitation, and Hygiene (WASH) Conditions among Caregivers and Young Children: Formative Research in Rural Burkina Faso. Am J Trop Med Hyg. 2019;100(4):998–1004. 10.4269/ajtmh.18-0333 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Null C, Stewart CP, Pickering AJ, Dentz HN, Arnold BF, Arnold CD, et al. Effects of water quality, sanitation, handwashing, and nutritional interventions on diarrhoea and child growth in rural Kenya: a cluster-randomised controlled trial. Lancet Glob Heal. 2018;6(3):e316–29. 10.1016/S2214-109X(18)30005-6. 10.1016/S2214-109X(18)30005-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Solomon ET. Comparing the effect of independent and combined interventions of household chlorination and handwashing on diarrhea of under-fives in rural Dire Dawa, eastern Ethiopia: a cluster randomized controlled trial. Pan Afr Med J. 2021;40(239):1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data and materials used to conduct this study can be available on request to the corresponding author.


Articles from Tropical Medicine and Health are provided here courtesy of BMC

RESOURCES