Household-level indicators overestimate sanitation coverage by masking within-household differences in practices and
Ryan Cronk1, Lisa Fleming2, Wren Tracy3
1The Water Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Abstract:
Accurate measurement of sanitation access is essential for tracking progress toward universal sanitation under the Sustainable Development Goals, yet current indicators focus on household-level access and rarely capture how sanitation is used within households or facility quality. We conducted a cross-sectional survey of 36,860 rural households in 14 low- and middle-income countries, assessing differences in open defecation practices among household members and sanitation facility quality. Heads of household reported where adult men, adult women, boys, and girls usually defecated, while enumerators directly observed sanitation facilities. We then developed alternative estimates of sanitation service levels that accounted for these dimensions. Despite access to a sanitation facility, 14.1% of households reported that at least one member practiced open defecation, including 2.9% of households classified as having basic sanitation. Children (12.6%) were more likely than adults (9.2% of men and 8.9% of women) to practice open defecation. Only 2.0% of sanitation facilities met the study's hygiene criteria, largely because 80.1% lacked a nearby handwashing facility with soap and water, 45.4% had visible flies, and 79.9% lacked appropriate anal cleansing materials. Structural deficiencies included cracked or damaged pedestals (26.3%), unusable floors (11.6%), non-functional facilities (5.7%), and lack of privacy (18.8%). Accounting for these factors yielded substantially lower estimates of basic sanitation coverage (2.2%) compared to the standard Joint Monitoring Programme (JMP) classification (31.8%), highlighting a gap between reported access and effective service delivery. Routine collection of disaggregated data on sanitation use and standardized measures of facility quality could improve monitoring of effective sanitation coverage.
Related Concept Videos
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Bias in Epidemiological Studies
Common Leveling Mistakes and Errors
Systematic Error: Methodological and Sampling Errors
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
Principles of Disease Surveillance
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
