This study aimed to assess the trends in water, sanitation, and hygiene (WASH) services over time and analyze associated factors influencing these services through a cross-sectional approach. The authors used a structured questionnaire to evaluate WASH indicators. They applied descriptive statistics for trend analysis and multivariate logistic regression analysis to identify associated factors. The findings revealed that basic drinking water services coverage in Arm 1 (WASH intervention area) increased by 238% or three times (from 8% in 2021 to 27% in 2023), while Arm 2 (WASH nonintervention) showed a 109% increase (from 11 to 23%) over the same period. Improved sanitation services were accessible to 8.6% of Arm 1 households (HHs) and 8.5% of Arm 2 HHs in 2023. Furthermore, awareness creation sessions on WASH practices conducted in the past 12 months were significantly correlated with WASH service improvements. The study indicated a slight improvement in basic drinking water service coverage; however, many HHs still lack adequate sanitation and hygiene facilities. Immediate action is necessary to achieve Sustainable Development Goal 6 regarding clean water and sanitation. Effective interventions should consider sociodemographic factors. Collaboration among government, NGOs, and communities is essential for sustainable WASH development in Ethiopia's Wolayita Zone and similar regions.

  • In 2023, 27 and 82% of households (HHs) had access to basic and improved water services, respectively.

  • Around 2.3 and 7.1% of HHs in 2021 and 2023, respectively, utilized safely managed sanitation services.

  • The majority of HHs had no adequate safe water, sanitation, and hygiene services.

  • Awareness creation sessions on WASH practices conducted in the past 12 months were significantly correlated with WASH services.

Access to clean water, improved sanitation facilities, and proper hygiene practices are essential to human health, economic development, and overall quality of life for developing countries. They help prevent waterborne disease, reduce health costs, and support societal well-being (UN 2015; Prüss-Üstün et al. 2016; Hope & Ballon 2019; Dorea et al. 2020; WHO 2020; Girmay et al. 2020b, 2021, 2022). Despite their importance, the world is not on track to achieve SDG targets 6.1 and 6.2 (WHO & UNICEF 2023). The Sustainable Development Goal 6 (SDG 6) of the United Nations specifically intends to provide everyone with access to safe water and sanitation by the year 2030 (WHO & UNICEF 2021). For the health and well-being of individuals as well as communities, access to basic sanitary facilities is essential (Akpakli et al. 2018). The Joint Monitoring Program (JMP), an initiative of the World Health Organization (WHO) and the United Nations Children's Fund (UNICEF), provides a framework for monitoring and reporting on water, sanitation, and hygiene (WASH) services globally, making it easier to monitor progress toward achieving SDG 6 (WHO 2019).

Water scarcity and pollution are persistent issues in arid regions, affecting growth and prosperity. Throughout the 21st century, infrastructure like dams and reservoirs has helped meet the increasing water demands (Eslamian 2016). A significant public health issue has been epidemics associated with insufficient and poor use of sanitary and water supply systems (Bbaale 2011; Hutton & Chase 2017; Wolf et al. 2023), as well as extreme water-related weather events (Cann et al. 2013). Disease is a global problem that is mostly attributed to the availability of clean water, proper sanitation, and adequate hygiene (Ekong 2015). The most common reason for death related to WASH is diarrhea. Worldwide, diarrhea is responsible for 4% of all diseases and 5% of health losses to disability (Girmay et al. 2020a). In sub-Saharan Africa, 7% of people used surface water in 2020, which is a significant source of waterborne diseases (WHO & UNICEF 2021). Diarrheal diseases are the main cause of death in children, killing close to 1.37 million children (0–14 years) annually (Pruss-Ustun & World Health Organization 2008). These illnesses are brought on by polluted water and poor sanitation.

The provision of WASH services is essential for preserving human health and promoting a country's rapid development (WHO/UNICEF 2014; UNICEF 2016; Belay & Andualem 2022). Despite Ethiopia's improvement, approximately 40% of the population lacks access to an improved water source (Beyene et al. 2015), and 17% still defecate in the open (WHO & UNICEF 2021). A major health concern in many nations is the increase in the practice of open defecation, which has been linked to many significant health effects (Brown et al. 2013; Schmidlin et al. 2013; Spears et al. 2013; Adesogan 2018). Likewise, many people have suffered from water and sanitation-related health problems. Clean water and sanitation-related health issues have been explored in reputable scientific literature, with a focus on the relevance and significance of WASH assessment (Biplob et al. 2011; Hulland et al. 2013; Johnson et al. 2015; Orimoloye et al. 2015; Girsha et al. 2016; Dearden et al. 2017; Ohwo & Agusomu 2018; Mushota et al. 2021; Gaffan et al. 2022; Satriani et al. 2022; Alemu et al. 2023). More than 88% of diarrhea-associated deaths in underdeveloped nations, including Ethiopia, are caused by inadequate access to improved water and sanitation (WHO 2009; Merid et al. 2023). Over the past decade, Ethiopia, one of the most populated countries in Africa, has significantly improved WASH services (Terry 2023). However, many people still face difficulties in obtaining safe drinking water, proper sanitation, and appropriate hygiene practices, especially in rural and marginalized communities. Hence, there is a high-estimated disease burden associated with inadequate WASH (Kwami et al. 2019; Abebe & Tucho 2021; Girma et al. 2021; WHO 2023). The Wolayita Zone, which is located in the Southern Nations, Nationalities, and Peoples' Region (SNNPR) of Ethiopia, is no exception to these challenges.

The Geshiyaro project is an impactful initiative aimed to address the prevalence of schistosome and soil-transmitted helminth infections in the Wolayita Zone. It focuses on implementing high-coverage community-wide mass drug administration (MDA) in combination with improved WASH services, as well as behavior change communication (BCC) (Phillips et al. 2023). This approach recognizes that poor sanitation coverage contributes to the high burden of disease in the area and aims to reduce environmental exposure and the transmission of these parasitic infections through WASH-based interventions (Campbell et al. 2018). Overall, the Geshiyaro project aims to support global efforts to control and eliminate neglected tropical diseases while improving access to clean water and sanitation. It seeks to provide a holistic and sustainable solution for improving community health and well-being in the Wolayita Zone. Understanding trends and factors affecting the JMP service ladders for WASH in this region is essential for developing targeted interventions and policies to accelerate progress toward universal access to safe and sustainable WASH services. Region-specific studies are needed to identify challenges and opportunities influencing households' (HHs) access to WASH services. Therefore, this study focuses on exploring these trends and factors impacting the JMP service ladders for WASH services.

Study design and setting

A cross-sectional survey was used to examine key HH WASH indicators in the Wolayita Zone, focusing on sites of the Geshiyaro project. A standardized questionnaire aligned with WHO/UNICEF JMP definitions (JMP 2018) was used to evaluate these indicators. The study, conducted in 2021, 2022, and 2023, took place in the Wolayita Zone, which is located 330 km from Addis Ababa, Ethiopia. The administration units in the Wolayita Zone consist of woredas and kebeles. The zone is administratively divided into 17 rural districts and three municipal administrations (Alemayehu et al. 2023).

HH sampling size estimation

For this cross-sectional study, the sample size estimation was calculated using a 9% proportion (p), 1.5 design effect (deft), 5% marginal error (α), and a 10% non-response rate. The proportion of HHs found to have access to water services meeting the requirements outlined in the Ethiopian government's first Growth and Transformation Plan (GTP I) was 9% (Adank et al. 2016). The following sampling formula was used to compute the estimated sample size:
(1)

Thus, adding a 10% non-response rate, the estimated total sample size for this study was 6,675.

Arm classification

According to the Children's Investment Fund Foundation (CIFF) categorization, Arm 1 includes WASH intervention woredas, while Arm 2 consists of nonintervention woredas. Arm 1 comprises five woredas: Boloso Sore, Boloso Bombe, Damot Sore, Damot Gale, and Damot Pulasa. In these areas, water utilities have been established, sanitation facilities provided, and regular educational BCC conducted to promote hygiene and sanitation practices. World Vision Ethiopia took the lead and conducted the intervention works. Conversely, Arm 2 includes seven woredas: Duguna Fango, Abala Abaya, Damot Weyde, Humbo, Kindo Didaye, Ofa, and Sodo Zuria, which were not part of the WASH intervention for this study. However, the types of water systems commonly used in Wolayita include hand pumps, boreholes, shallow wells, piped water systems, rainwater harvesting, protected springs, and water kiosks.

Operational definition of key terms

Enumeration areas (EAs) are specific geographic areas designed to speed up the collection of data in surveys and censuses. As they are smaller units within larger regions, they make population surveys more effective by targeting specific HHs, thereby simplifying the processes of data collection and analysis.

Woreda is an administrative division in Ethiopia responsible for local governance and the delivery of services, comparable to a district or county.

Kebele is the smallest administrative unit within a woreda, similar to a village or neighborhood.

Definition of SDG/JMP ladders for WASH services in HHs: The WASH indicator definition is sourced from the WHO/UNICEF JMP for SDG ladders for WASH services (WHO/UNICEF 2018) as indicated in Table 1.

Table 1

Definition of the SDG/JMP ladders for assessing WASH services in household

Service levelDefinition
Drinking-water service ladders 
Safely managed Obtaining drinking water from an improved source that is available when needed, accessible on-premises, and free from fecal and priority chemical contamination 
Basic Drinking water from an improved source requires a round-trip collection time of 30 min or less, including queuing 
Limited Drinking water from an improved source requires a collection time omore than 30 min for a round trip, including queuing 
Unimproved Drinking water from an unprotected spring or unprotected dug well 
Surface water Drinking water is directly obtained from a river, lake, pond, dam, stream, or irrigation canal 
Sanitation service ladders 
Safely managed Use improved sanitation facilities that are not shared with other HHs, where excreta is safely disposed of in situ or removed and treated offsite 
Basic Use of improved sanitation facilities that are not shared with other HHs 
Limited Use of improved sanitation facilities that are shared with other HHs 
Unimproved Use of pit latrines without a slab or platform, bucket latrines, or hanging toilets 
Open defecation Disposal of human feces in fields, forests, bushes, open bodies of water, beaches, or other available places, as well as solid wastes 
Hygiene service ladders 
Basic Presence of a hand-washing facility with soap and water at home 
Limited Presence of a hand-washing facility lacking soap and/or water at home 
No services There is no hand-washing facility at home 
Note: Improved water sources (basic + limited) include piped water, boreholes or tube wells, protected dug wells, protected springs, rainwater, and packaged or delivered water 
Unimproved sources of drinking water 
Unprotected well It is a dug well that lacks any of the following: a lining or casing raised above ground level to form a headwall; an apron to divert spilled water away from the well; a cover to prevent contaminated materials (including bird droppings and small animals) from entering the well; or a pump or manual lifting device 
Unprotected spring It is a natural spring that lacks a ‘spring box’ to protect against runoffs and other sources of contamination (including bird droppings and animals) 
Surface water It refers to open water sources located above the ground including rivers, reservoirs, lakes, ponds, streams, canals, and irrigation channels 
Note. Unimproved drinking water sources are those that, due to their design and construction, are unlikely to deliver safe water 
Service levelDefinition
Drinking-water service ladders 
Safely managed Obtaining drinking water from an improved source that is available when needed, accessible on-premises, and free from fecal and priority chemical contamination 
Basic Drinking water from an improved source requires a round-trip collection time of 30 min or less, including queuing 
Limited Drinking water from an improved source requires a collection time omore than 30 min for a round trip, including queuing 
Unimproved Drinking water from an unprotected spring or unprotected dug well 
Surface water Drinking water is directly obtained from a river, lake, pond, dam, stream, or irrigation canal 
Sanitation service ladders 
Safely managed Use improved sanitation facilities that are not shared with other HHs, where excreta is safely disposed of in situ or removed and treated offsite 
Basic Use of improved sanitation facilities that are not shared with other HHs 
Limited Use of improved sanitation facilities that are shared with other HHs 
Unimproved Use of pit latrines without a slab or platform, bucket latrines, or hanging toilets 
Open defecation Disposal of human feces in fields, forests, bushes, open bodies of water, beaches, or other available places, as well as solid wastes 
Hygiene service ladders 
Basic Presence of a hand-washing facility with soap and water at home 
Limited Presence of a hand-washing facility lacking soap and/or water at home 
No services There is no hand-washing facility at home 
Note: Improved water sources (basic + limited) include piped water, boreholes or tube wells, protected dug wells, protected springs, rainwater, and packaged or delivered water 
Unimproved sources of drinking water 
Unprotected well It is a dug well that lacks any of the following: a lining or casing raised above ground level to form a headwall; an apron to divert spilled water away from the well; a cover to prevent contaminated materials (including bird droppings and small animals) from entering the well; or a pump or manual lifting device 
Unprotected spring It is a natural spring that lacks a ‘spring box’ to protect against runoffs and other sources of contamination (including bird droppings and animals) 
Surface water It refers to open water sources located above the ground including rivers, reservoirs, lakes, ponds, streams, canals, and irrigation channels 
Note. Unimproved drinking water sources are those that, due to their design and construction, are unlikely to deliver safe water 

Data quality control, data collection, and analysis

Both statistical and visual techniques were used to evaluate data quality. Visual inspection was used to identify errors in data entry and compilation, while goodness-of-fit tests assessed the statistical appropriateness of the model. Additionally, the respondent selection criteria specified that HHs must include respondents aged 18 and above, excluding those with mental disorders and those who had lived in the HHs for less than six months.

Forty-five data collectors and 15 supervisors were recruited based on their educational background and technical experience related to data collection using the Open Data kit. Five days of training were given, followed by a pilot. Actual data were then collected immediately after the pilot test using a structured questionnaire in face-to-face interviews with the heads of the HHs. Socio-demographic indicators related to safe water storage and handling at the HH level, the prevalence of environmental health-related diseases, exposure to sanitation, and environmental health information, along with the core questions on WASH, were incorporated into the questionnaire.

The socio-demographic details of the HHs in the research population were ascertained by the application of descriptive statistics. To find the parameters related to basic drinking WASH while accounting for potential confounders, we employed binary and multivariate logistic regression analyses were used. A p-value of 0.05 or less was deemed statistically significant in the multivariate logistic regression analysis. The Origin 2022 software was used to create graphs, while STATA Version 16 was used for data analysis.

Binary outcome analysis is typically conducted using binary logistic regression. The study used the odds ratio to predict the odds of having a basic WASH service for a given category of the predictor variable against the reference category. The odds ratio (OR) is the ratio of the odds for x = 1 to the odds for x = 0 and is given by the equation (Wang & Bakhai 2006; Alemu et al. 2023):
(2)
where is the odds that the response variable takes the value of 1,

Likewise, the author tested four assumptions for the logistic regression analysis: a suitable sample size, no extremely significant outliers, no multicollinearity, and independent observations (Ambrosius 2007; Stoltzfus 2011; Hosmer et al. 2013). They examined and confirmed the adequacy of the model using the Pearson goodness-of-fit test (Pearson 1900). The authors found the drinking WASH ladder models suitable for the data and validated their use.

Ethical considerations

The study received ethical approval from the Scientific and Ethical Review Board of the Ethiopian Public Health Institute (reference number: EPHI-IRB-321-2020). The research adhered to the 1964 Helsinki Declaration, its subsequent revisions, and other relevant ethical standards. Informed consent was obtained in writing from all participants. Data collection tools (ODK) were password-protected to ensure respondent privacy and confidentiality throughout the investigation.

The study was carried out for three years. The study included sample size and response rate, which is a total of 6,543 HHs with a 98.0% response rate in 2021, 6,567 HHs with a 98.4% response rate in 2022, and 6,574 HHs with a 98.5% response rate in 2023. Data on drinking WASH service ladders were analyzed using a time-trend analysis, incorporating information from Arm 1 (WASH intervention area) and Arm 2 (non-WASH intervention area). To identify associated factors, multivariate logistic regression analysis was employed (Tables 35).

Table 2

Socio-demographic characteristics of HHs, 2023 (n = 6,574)

CharacteristicsFrequencyPercentage
Sex 
 Male-headed 4,843 73.7 
 Female-headed 1,731 26.3 
Residence 
 Rural 5,850 89 
 Urban 724 11 
Annual income 
  < 18,000 (median) 3,217 48.9 
  ≥ 18,000 (median) 3,357 51.1 
Family size 
  < 5 (median) 2,716 41.3 
  ≥ 5 (median) 3,858 58.7 
HH head education 
 No education 4,757 72.4 
 Primary 460 
 Secondary and above 1,357 20.6 
Occupation 
 Farmer 5,392 82 
 Merchant 374 5.7 
 Government worker 374 5.7 
 No occupation 416 6.3 
Age-headed 
 18–28 246 3.7 
 29–39 1,606 24.4 
 40–50 3,030 46.1 
 51–61 977 14.9 
 62–72 474 7.2 
  ≥ 73 241 3.7 
Marital status 
 Married 5,450 82.9 
 Single 1,124 17.1 
Arm classification 
 Intervention woreda (Arm 1) 2,840 43.2 
 Nonintervention woreda (Arm 2) 3,734 56.8 
CharacteristicsFrequencyPercentage
Sex 
 Male-headed 4,843 73.7 
 Female-headed 1,731 26.3 
Residence 
 Rural 5,850 89 
 Urban 724 11 
Annual income 
  < 18,000 (median) 3,217 48.9 
  ≥ 18,000 (median) 3,357 51.1 
Family size 
  < 5 (median) 2,716 41.3 
  ≥ 5 (median) 3,858 58.7 
HH head education 
 No education 4,757 72.4 
 Primary 460 
 Secondary and above 1,357 20.6 
Occupation 
 Farmer 5,392 82 
 Merchant 374 5.7 
 Government worker 374 5.7 
 No occupation 416 6.3 
Age-headed 
 18–28 246 3.7 
 29–39 1,606 24.4 
 40–50 3,030 46.1 
 51–61 977 14.9 
 62–72 474 7.2 
  ≥ 73 241 3.7 
Marital status 
 Married 5,450 82.9 
 Single 1,124 17.1 
Arm classification 
 Intervention woreda (Arm 1) 2,840 43.2 
 Nonintervention woreda (Arm 2) 3,734 56.8 
Table 3

Multivariate logistic regression analysis of respondents' basic drinking water service ladders, 2023 (n = 6,574)

DescriptionBasic drinking water service
P-valueAOR with 95% CI
Yes (%)No (%)
Residence 
 Urban 42.7 57.3  Reference 
 Rural 22.6 77.4 0.00*** 0.47 [0.39, 0.56] 
Education of HH head 
 No education 24.2 75.8  Reference 
 Primary 23.5 76.5 0.53 0.93 [0.74, 1.17] 
 Secondary and above 27.3 72.7 0.25 0.91 [0.78, 1.07] 
Occupation of HH head 
 Government 37.2 62.8  Reference 
 Farmer 22.8 77.2 0.00*** 0.66 [0.51, 0.85] 
 Merchant 37.2 62.8 0.78 0.96 [0.70, 1.31] 
 Not working 28.1 71.9 0.06* 0.73 [0.53, 1.01] 
Family size 
<5 HH members 26.0 74.0  Reference 
≥5 HH members 24.0 76.1 0.06* 0.90 [0.80, 1.01] 
Income of HH head 
≥18,000 27.2 72.8  Reference 
<18,000 22.3 77.7 0.09* 0.90 [0.80, 1.01] 
HH head attended awareness creation sessions about WASH practices in the past 12 months 
 Yes 28.0 72.0  Reference 
 No 22.5 77.5 0.00*** 0.78 [0.70, 0.88] 
Arm classification 
 Intervention woreda (Arm 1) 27.3 72.7  Reference 
 Nonintervention woreda (Arm 2) 22.9 77.1 0.00*** 0.78 [0.70, 0.88] 
DescriptionBasic drinking water service
P-valueAOR with 95% CI
Yes (%)No (%)
Residence 
 Urban 42.7 57.3  Reference 
 Rural 22.6 77.4 0.00*** 0.47 [0.39, 0.56] 
Education of HH head 
 No education 24.2 75.8  Reference 
 Primary 23.5 76.5 0.53 0.93 [0.74, 1.17] 
 Secondary and above 27.3 72.7 0.25 0.91 [0.78, 1.07] 
Occupation of HH head 
 Government 37.2 62.8  Reference 
 Farmer 22.8 77.2 0.00*** 0.66 [0.51, 0.85] 
 Merchant 37.2 62.8 0.78 0.96 [0.70, 1.31] 
 Not working 28.1 71.9 0.06* 0.73 [0.53, 1.01] 
Family size 
<5 HH members 26.0 74.0  Reference 
≥5 HH members 24.0 76.1 0.06* 0.90 [0.80, 1.01] 
Income of HH head 
≥18,000 27.2 72.8  Reference 
<18,000 22.3 77.7 0.09* 0.90 [0.80, 1.01] 
HH head attended awareness creation sessions about WASH practices in the past 12 months 
 Yes 28.0 72.0  Reference 
 No 22.5 77.5 0.00*** 0.78 [0.70, 0.88] 
Arm classification 
 Intervention woreda (Arm 1) 27.3 72.7  Reference 
 Nonintervention woreda (Arm 2) 22.9 77.1 0.00*** 0.78 [0.70, 0.88] 

***p < 0.01, **p < 0.05, *p < 0.1.

Table 4

Multivariate logistic regression analysis of respondents' basic sanitation service ladders, 2023 (n = 6,574)

DescriptionAt least a basic sanitation service
P-valueAOR with 95% CI
Yes (%)No (%)
Residence 
 Urban 20.0 80.0  Reference 
 Rural 4.7 95.3 0.00*** 0.33 [0.25, 0.42] 
Education of HH head 
 No education 4.9 95.1  Reference 
 Primary 6.7 93.3 0.25 1.26 [0.85, 1.88] 
 Secondary and above 11.6 88.4 0.00*** 1.52 [1.18, 1.95] 
Occupation of HH head 
 Government 18.5 81.5  Reference 
 Farmer 4.6 95.4 0.00*** 0.51 [0.35, 0.73] 
 Merchant 16.8 83.2 0.67 1.09 [0.73, 1.64] 
 Not working 9.1 90.9 0.18 0.73 [0.46, 1.15] 
Income of HH head 
  ≥ 18,000 4.4 95.6  Reference 
  < 18,000 8.4 91.6 0.03** 0.77 [0.62, 0.97] 
HH head attended awareness creation sessions about WASH practices in the past 12 months 
 Yes 8.5 91.5  Reference 
 No 4.9 95.1 0.00*** 0.61 [0.49, 0.74] 
Arm classification 
 Intervention woreda (Arm 1) 7.1 92.9  Reference 
 Nonintervention woreda (Arm 2) 5.9 94.1 0.01*** 0.76 [0.62, 0.94] 
DescriptionAt least a basic sanitation service
P-valueAOR with 95% CI
Yes (%)No (%)
Residence 
 Urban 20.0 80.0  Reference 
 Rural 4.7 95.3 0.00*** 0.33 [0.25, 0.42] 
Education of HH head 
 No education 4.9 95.1  Reference 
 Primary 6.7 93.3 0.25 1.26 [0.85, 1.88] 
 Secondary and above 11.6 88.4 0.00*** 1.52 [1.18, 1.95] 
Occupation of HH head 
 Government 18.5 81.5  Reference 
 Farmer 4.6 95.4 0.00*** 0.51 [0.35, 0.73] 
 Merchant 16.8 83.2 0.67 1.09 [0.73, 1.64] 
 Not working 9.1 90.9 0.18 0.73 [0.46, 1.15] 
Income of HH head 
  ≥ 18,000 4.4 95.6  Reference 
  < 18,000 8.4 91.6 0.03** 0.77 [0.62, 0.97] 
HH head attended awareness creation sessions about WASH practices in the past 12 months 
 Yes 8.5 91.5  Reference 
 No 4.9 95.1 0.00*** 0.61 [0.49, 0.74] 
Arm classification 
 Intervention woreda (Arm 1) 7.1 92.9  Reference 
 Nonintervention woreda (Arm 2) 5.9 94.1 0.01*** 0.76 [0.62, 0.94] 

***p < 0.01, **p < 0.05, *p < 0.1.

Table 5

Multivariate logistic regression analysis of respondents' basic hygiene service ladders, 2023 (n = 6,574)

DescriptionBasic hygiene service
P-valueAOR with 95% CI
Yes (%)No (%)
Residence 
 Urban 7.2 92.8  Reference 
 Rural 3.4 96.6 0.10* 0.74 [0.52, 1.06] 
Education of HH head 
 No education 3.3 96.7  Reference 
 Primary 2.4 97.6 0.20 0.67 [0.36, 1.24] 
 Secondary and above 6.1 93.9 0.12 1.29 [0.94, 1.78] 
Occupation of HH head 
 Government 9.1 90.9  Reference 
 Farmer 3.2 96.8 0.05* 0.63 [0.39, 1.01] 
 Merchant 6.9 93.1 0.93 0.98 [0.56, 1.70] 
 Not working 4.3 95.7 0.31* 0.73 [0.39, 1.35] 
Income of HH head 
  ≥ 18,000 2.1 97.8  Reference 
  < 18,000 5.5 94.5 0.00*** 0.47 [0.35, 0.63] 
HH head attended awareness creation sessions about WASH practices in the past 12 months 
 Yes 5.3 94.7  Reference 
 No 2.8 97.2 0.00*** 0.57 [0.44, 0.74] 
DescriptionBasic hygiene service
P-valueAOR with 95% CI
Yes (%)No (%)
Residence 
 Urban 7.2 92.8  Reference 
 Rural 3.4 96.6 0.10* 0.74 [0.52, 1.06] 
Education of HH head 
 No education 3.3 96.7  Reference 
 Primary 2.4 97.6 0.20 0.67 [0.36, 1.24] 
 Secondary and above 6.1 93.9 0.12 1.29 [0.94, 1.78] 
Occupation of HH head 
 Government 9.1 90.9  Reference 
 Farmer 3.2 96.8 0.05* 0.63 [0.39, 1.01] 
 Merchant 6.9 93.1 0.93 0.98 [0.56, 1.70] 
 Not working 4.3 95.7 0.31* 0.73 [0.39, 1.35] 
Income of HH head 
  ≥ 18,000 2.1 97.8  Reference 
  < 18,000 5.5 94.5 0.00*** 0.47 [0.35, 0.63] 
HH head attended awareness creation sessions about WASH practices in the past 12 months 
 Yes 5.3 94.7  Reference 
 No 2.8 97.2 0.00*** 0.57 [0.44, 0.74] 

***p < 0.01, **p < 0.05, *p < 0.1.

Socio-demographic characteristics of HHs

The majority (89%) of study participants live in rural areas, 73.7% of HH heads were males, and 82.9% of participants were married. Nearly half (48.9%) of the participants had less than 18,000 birr annual income. Table 2 also includes information on HH head education, family size, and other factors.

Trends of WASH services based on JMP ladders in three different survey years

The trend of drinking water services, such as basic, limited, unimproved, and surface water, was computed from 2021 to 2023 (Figure 1). Basic drinking water services coverage for Arm 1 increased from 8% in 2021 to 27% in 2023; for Arm 2, the coverage increased from 11% in 2021 to 23% in 2023. This shows that the trend of basic drinking water services for Arm 1 increased over time and the performance is better than the increase observed in Arm 2. It was also observed that there was about a 238 and 109% increase in basic drinking water within three years for Arms 1 and 2, respectively. This increment, we believe, is mainly because of the introduction and installation of new water sources in the community by the Geshiyaro project, and the improvement is very important to prevent infectious diseases and ultimately to improve public health. In this study, HHs' access to basic drinking water services was generally lower than the national average reported in the 2019 Ethiopian Demographic and Health Survey (EDHS) (56.9%) (Desye et al. 2023) and also lower than findings from Benin, West Africa (64%) (Gaffan et al. 2022). The difference in WASH services may be attributed to factors such as study period, location, education level, and the economic status of the communities involved.
Figure 1

Trends of JMP ladders for drinking water services.

Figure 1

Trends of JMP ladders for drinking water services.

Close modal

In this study, improved drinking water service is defined as the sum of basic and limited improved water sources. In 2023, access to improved drinking water was 82% for Arm 1 woredas and 76% for Arm 2 woredas, both of which are lower than the 88% access reported in a study from Ghana (Agbadi et al. 2019) and higher than the 68.7% reported in the EDHS (Desye et al. 2023). The proportion of unimproved drinking water services in Arm 2 increased by 50%, rising from 10% in 2021 to 15% in 2023. In contrast, Arm 1 showed a decrease in unimproved drinking water services, dropping from 17% in 2021 to 15% in 2023, which reflects a decrease of 12%. Similarly, in 2023, Arm 1 reported a surface water usage of 3%, while Arm 2 used 9%. Notably, the surface water usage in Arm 1's research areas was below the WHO's national estimate of 5% in 2020, whereas Arm 2's usage exceeded this estimate (WHO & UNICEF 2021). This decline in unimproved drinking water services and surface water consumption in Arm 1 may be attributed to the ongoing interventions of the Geshiyaro WASH project. Likewise, the 2023 Arm 1 survey data showed that 27 and 55% of the HHs used basic and limited drinking water services, respectively (Figure 1).

Trends for open defecation, limited sanitation, basic sanitation, and safely managed sanitation services were calculated from 2021 to 2023 (Figure 2). In Arm 1, the coverage of safely managed sanitation services increased from 2.3% in 2021 to 7.1% in 2023, corresponding to about a 209% (or two times) increase. This growth is attributed to WASH interventions in Arm 1 woredas, which significantly improved sanitation services. The coverage of safely managed sanitation services in Arm 2 increased from 2% in 2021 to 6% in 2023 by around 200%. The sanitation coverage for safely managed sanitation service in 2023 for Arm 1 or Arm 2 is in line with the WHO's national estimate, which is at 7% (WHO & UNICEF 2021). Additionally, improved sanitation services were accessible to 8.6% of Arm 1 and 8.5% of Arm 2 HHs in 2023. However, improved sanitation services in this study (Figure 2) were relatively low compared to WHO's national estimates (18%) (WHO & UNICEF 2021) and the EDHS results for improved sanitation (19%) (Alemu et al. 2023). This result needs urgent action to prevent sanitation-related health issues. On the other hand, the overall coverage of unimproved sanitation services for Arm 1 decreased from 78.6% in 2021 to 74.2% in 2023, whereas the coverage of unimproved sanitation service in Arm 2 decreased from 90% in 2021 to 77% in 2023 by 14.4%. Similarly, the prevalence of open defecation practices was 17.2 and 14% of Arms 1 and 2, respectively (Figure 2). This study agrees with the national WHO estimates that 17% of people practiced open defecation in 2020 (WHO & UNICEF 2021). This study reveals that open defecation practices persist without reduction, highlighting the need for stronger behavioral change interventions. Inadequate access to WASH facilities commonly contributes to child growth failure (Sahiledengle et al. 2022).
Figure 2

Trends of JMP ladders for sanitation services.

Figure 2

Trends of JMP ladders for sanitation services.

Close modal
As shown in Figure 3, only 4% of Arm 2 and 3% of Arm 1 HHs in 2023 had access to basic hygiene services. This finding is lower compared to a study in the Bishoftu town of Ethiopia in 2023 where only 19.4% of HHs had access to basic hygiene services (Girmay et al. 2023a). The coverage of limited hygiene services grew by 400% (or four times) from 13% in 2021 to 65% in 2023 for Arm 1. Similarly, the coverage of Arm 2 showed an increase of 622% (or six times) in limited hygiene services from 9% in 2021 to 65% in 2023. Over three years, Arms 1 and 2 had increases in limited hygiene services of 400% (or four times) and 622% (or six times), respectively. As limited hygiene services are established, more HHs are creating and meeting the need for them, and the trend over time is from no hygiene service facilities to limited hygiene service facilities.
Figure 3

Trends of JMP ladders for hygiene services.

Figure 3

Trends of JMP ladders for hygiene services.

Close modal
In 2023, 43% of HHs in Arm 1 and 41% of HHs in Arm 2 participated in WASH education, awareness-raising, or discussions (Figure 4). The small increase in Arm 1 (intervention) over Arm 2 (nonintervention) is probably the result of ongoing enhancements to the WASH intervention in the Geshiyaro project.
Figure 4

Trends in HH-headed WASH services and health information exposure, 2021 (n = 6,543), 2022 (n = 6,567), and 2023 (n = 6,574).

Figure 4

Trends in HH-headed WASH services and health information exposure, 2021 (n = 6,543), 2022 (n = 6,567), and 2023 (n = 6,574).

Close modal

Demographic factors associated with WASH services in 2023

The study aimed to identify the demographic factors influencing drinking WASH indicators, which are important for evaluating and tracking global progress toward achieving universal access to safe and sustainable WASH services. Evaluating water supply, sanitation, and hygiene services, as well as related demographic aspects, is crucial to improving public health concerns. The impact of demographic factors on the provision of basic drinking WASH services was studied (Tables 35).

As shown in Table 3, HHs with rural residents were 0.47 times less likely to use basic drinking water services than HHs with an urban population (adjusted odds ratio (AOR) = 0.47 with 95% CI [0.39–0.56]). This result aligns with that of Alemu et al. (2023), who found that HHs in rural areas were 0.64 times less likely to use basic drinking-water services than those in urban areas (AOR = 0.64 with 95% CI [0.22–1.89]) (Alemu et al. 2023). Moreover, the likelihood that HHs headed by a farmer would use basic drinking water services was 0.66 times lower than that of HHs headed by a government worker (AOR = 0.66 with 95% CI [0.51–0.85]). According to the current study, the majority of HH heads were farmers from rural areas (Table 2). These farmers may not have access to higher education, and as a result, there may be a knowledge gap regarding the use of drinking water services.

HH heads with annual incomes less than 18,000 birr were 0.90 times less likely to use basic drinking water services (AOR = 0.90 with 95% CI [0.80–1.01]) than those with annual incomes more than 18,000 birr. The computed p-value (0.09) is greater than the significant level (α = 0.05); hence, the change is insignificant at the 5% significance level. The result may be due to economic differences to influence the basic drinking water services.

Furthermore, HHs in the nonintervention areas (Arm 2) were 0.78 times less likely to use basic drinking-water services (AOR = 0.78 with 95% CI [0.70–0.88]) than those in the intervention areas (Arm 1) than those in the intervention areas (Arm 1). This may be due to better drinking water coverage for HH heads in Arm 1 compared to those in Arm 2. HH respondents with a family size of more than five members were 0.90 times less likely to use basic drinking water services (AOR = 0.90 with 95% CI [0.80–1.01]) than those HH respondents with less than five members. The computed p-value (0.09) is greater than the significant level (α = 0.05); hence, the change is insignificant at the 5% significance level. This result showed that access to basic drinking water services could also be dependent on family size (Table 3).

The study defines at least basic sanitation services as the sum of safely managed sanitation service ladders and basic sanitation services. Accordingly, the findings showed that HHs in rural areas were 0.33 times less likely to use basic sanitation services (AOR = 0.33 with 95% CI [0.25–0.42]) than those in urban areas. This result also aligned with the findings of the WHO report, which showed that a greater proportion of rural HHs lacked access to basic sanitation than urban residents (WHO 2014). Also, HH heads who completed secondary school or higher were 1.52 times more likely to use basic sanitation services than those with no education (AOR = 1.52 with 95% CI [1.18–1.95]). HH heads who had an annual income less than 18,000 birr used basic sanitation services 0.77 times less frequently (AOR = 0.77 with 95% CI [0.62–0.97) than those who had an annual income greater than 18,000 birr. Other research (Donacho et al. 2022; Girmay et al. 2022) also supports the findings of this investigation.

Furthermore, HH heads who attended awareness creation sessions about WASH practices in the past 12 months were strongly correlated with access to basic sanitation facilities. HH heads who did not attend awareness creation sessions about WASH practices in the past 12 months were 0.61 times less likely to use basic sanitation services than HH heads who attended awareness creation sessions about WASH practices (AOR = 0.61 with 95% CI [0.49–0.74]). This suggests that attending these sessions likely increased HHs' willingness to construct or invest in their sanitation infrastructure. Similarly, HH heads in the nonintervention areas (Arm 2) were 0.76 times less likely to use basic sanitation services (AOR = 0.76 with 95% CI [0.62–0.94]) than those in the intervention areas (Arm 1) (Table 4). Very certainly, this positive outcome has to be expected, as the Geshiyaro project is very much involved in awareness creation regarding sanitation service practices of HHs in the intervention areas (Arm 1) compared to Arm 2 HHs (nonintervention); beyond awareness creation, the community (Arm 1) has also been provided with sanitary services.

In this study, basic hygiene service is defined as having a handwashing facility with soap and water at home. The binary logistic regression analysis revealed that five predictor variables, such as residence type, education, occupation, income, and attendance at awareness sessions about WASH practices in the past 12 months, were significantly associated (p-value <0.05) with access to basic hygiene service. However, only two explanatory variables including income and awareness creation sessions about WASH practices in the past 12 months were significantly associated in the multivariable logistic regression model with a p-value <0.05 (Table 4). Hence, HH heads with an annual income of less than 18,000 birr were 0.47 times less likely to use basic drinking water services (AOR = 0.47 with 95% CI [0.35–0.63]) than HH heads with an annual income of more than 18,000 birr. Therefore, it can be concluded that access to basic hygiene services is impacted by economic inequality, and HH heads with better annual incomes may probably construct hygiene facilities to positively impact the services. The findings of this work concur with those of Gaffan et al. (2022), who found that wealthier HHs had a higher likelihood of having basic handwashing facilities than the poorest HHs (Gaffan et al. 2022).

Likewise, HH heads who attended awareness creation sessions about WASH practices in the past year strongly correlated with access to basic hygiene facilities in the current study. Heads who did not attend awareness creation sessions about WASH practices in the past year were 0.57 times less likely to use basic hygiene services than those who attended awareness creation (AOR = 0.57 with 95% CI [0.44–0.74]) (Table 5). In a different study by Girmay et al. (2023b), children whose mothers did not engage in community and school WASH discussions were 2.39 times more likely (AOR = 2.39; 95% CI 1.10 to 5.23) to develop diarrheal disease than those whose mothers did participate (Girmay et al. 2023b). The current study highlights the need to promote behavioral change through mass media and community engagement to encourage the utilization of sanitation facilities and proper hygiene practices. The study's strengths include the use of a representative sample and international assessment tool from the JMP core questions (WHO/UNICEF 2018) to track WASH services and enable cross-national comparisons. However, its focus on specific sites of Ethiopia's Geshiyaro project may limit the generalizability of its findings to other regions. Furthermore, although cross-sectional surveys provide valuable insights, they are limited in their ability to establish cause-and-effect relationships between WASH conditions and health outcomes.

The study revealed a slight increase in basic drinking water service coverage; however, many HHs still lack improved sanitation and hygiene facilities. A concerning decline in WASH education attendance and an increase in open defecation were noted, even as reliance on surface and unimproved water sources decreased. Intervention areas (Arm 1) demonstrated better WASH coverage compared to nonintervention areas (Arm 2), underscoring the importance of targeted efforts. To address these challenges, the authors recommended prioritizing underserved rural and semi-urban areas by investing in localized water infrastructure projects, such as boreholes, rainwater harvesting, and community water kiosks. The study advocates for a multi-faceted approach to enhance WASH services, emphasizing community-led sanitation, behavior change, and targeted hygiene promotion efforts.

In planning these interventions, socio-demographic factors should be considered to ensure effectiveness and equity. These factors include income levels, gender roles, education, cultural practices, and population density, all of which play a critical role in shaping the success of WASH initiatives. Collaborative efforts among governments, NGOs, and local communities should focus on capacity building, with particular attention to establish sustainable maintenance management systems. These actions are vital for sustainable WASH services within the Wolayita Zone and across Ethiopia, aligning with the country's SDGs for health and sanitation improvements. Furthermore, expanding access to safe drinking water and enhancing sanitation and hygiene facilities are essential for sustainable development and public health advancement.

The authors express their gratitude to the funder, project teams, and the financial and logistics sections of the Ethiopian Public Health Institute.

This study was funded by the CIFF with grant number R-1805-02741. The opinions stated here are those of the authors and do not necessarily represent the views of the CIFF and the CIFF's staff.

Z.A.A. managed the project, conceptualized the paper, interpreted the data, and wrote it. A.M.G., B.C., A.W.K., M.G.W., and K.F. wrote and edited a review. E.A.A. performed data quality control and statistical analysis. All authors have made critical revisions and made a major contribution to writing the manuscript. All authors read and approved of the final manuscript.

The study proposal was approved by the Ethiopian Public Health Institute (EPHI) scientific and ethical review board, with reference number EPHI-IRB-321-2020. Written consent was obtained from the participants. Those who did not want to be a part of the study were not compelled to do so. The participants' confidentiality and privacy were ensured through the investigation.

Data cannot be made publicly available; readers should contact the corresponding author for details.

The authors declare there is no conflict.

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