| Literature DB >> 35126529 |
Diriba Temesgen Dagaga1, Girma Deboch Geleta2.
Abstract
BACKGROUND: Access to at least a basic water service, improved sanitation, and hygiene contribute to the human health and socioeconomic development of a country. This study was conducted to assess the water and latrine service coverage and related factors among dwellers of Negele town, southeast Ethiopia.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35126529 PMCID: PMC8808149 DOI: 10.1155/2022/1203514
Source DB: PubMed Journal: J Environ Public Health ISSN: 1687-9805
Study villages with their corresponding zones, target, and study households of Negele town during the study period (source: [13]).
| No. | Zones | Total households | Selected villages | Target households | Sampled households ( | |||
|---|---|---|---|---|---|---|---|---|
| Frequency | Total | % | ||||||
| Female | Male | |||||||
| 1 | Central | 1718 | Center of town | 590 | 34 | 54 | 88 | 21.67 |
| Central villages | 555 | 36 | 46 | 82 | 20.20 | |||
| 2 | Eastern | 1353 | Sheep site | 382 | 23 | 34 | 57 | 14.04 |
| Najat | 520 | 30 | 47 | 77 | 18.97 | |||
| 3 | Western | 1024 | Western Hindy | 417 | 24 | 38 | 62 | 15.27 |
| Mosque area | 265 | 15 | 25 | 40 | 9.85 | |||
| Total | 3 | 4095 | 6 | 2729 | 162 | 244 | 406 | 100% |
Demographic characteristics of heads of households that participated in the study (n = 380).
| Variable | Frequency (%) | ||
|---|---|---|---|
|
| Female | Male | Overall |
| Central | 68 (17.9) | 98 (25.8) | 166 (43.7) |
| Eastern | 45 (11.8) | 81 (21.3) | 126 (33.2) |
| Western | 25 (6.6) | 63 (16.6) | 88 (23.1) |
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| 18–30 | 113 (29.7) | 75 (19.7) | 188 (49.5) |
| 31–40 | 55 (14.5) | 86 (22.6) | 141 (37.1) |
| 41–80 | 28 (7.4) | 23 (6.1) | 51 (13.4) |
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| Christian | 28 (7.4) | 40 (10.5) | 68 (17.9) |
| Muslim | 110 (28.9) | 202 (53.2) | 312 (82.1) |
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| No formal education | 41 (10.8) | 77 (20.3) | 118 (31.0) |
| primary (1–8) | 66 (17.4) | 130 (34.2) | 196 (51.6) |
| Secondary (9–12) | 19 (5) | 25 (6.6) | 44 (11.6) |
| >Grade 12 | 12 (3.2) | 10 (2.6) | 22 (5.8) |
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| Single | 27 (7.1) | 73 (19.2) | 100 (26.3) |
| Married | 111 (29.2) | 149 (39.2) | 260 (68.4) |
| Widow | 0 (0) | 20 (5.3) | 20 (5.3) |
| Divorced | 0 (0) | 0 (0) | 0 (0) |
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| 1–4 | 90 (23.7) | 137 (36.1) | 227 (59.7) |
| 5–10 | 26 (6.8) | 82 (21.6) | 108 (28.5) |
| >10 | 22 (5.8) | 23 (6.1) | 45 (11.8) |
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| Farmer | 59 (15.5) | 117 (30.8) | 176 (46.3) |
| Merchant | 29 (7.6) | 91 (23.9) | 120 (31.6) |
| Government employee | 28 (7.4) | 13 (3.4) | 41 (10.8) |
| Daily laborer | 14 (3.7) | 0 | 14 (3.7) |
| Other | 8 (2.1) | 21 (5.5) | 29 (7.6) |
Demographic features of the key informants (n = 40).
| Variable | Occupation | |||
|---|---|---|---|---|
| Head of town administration | “Kebele” official | Water sector workers | Health workers | |
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| Male | 8 | 5 | 3 | 18 |
| Female | 1 | 0 | 0 | 5 |
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| 18–40 | 7 | 3 | 3 | 21 |
| 41–60 | 2 | 2 | 0 | 2 |
| 61–80 | 0 | 0 | 0 | 0 |
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| Muslim | 7 | 5 | 3 | 14 |
| Christian | 2 | 0 | 0 | 9 |
| Other | 0 | 0 | 0 | 0 |
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| Single | 3 | 1 | 0 | 8 |
| Married | 6 | 4 | 3 | 15 |
| Widow | 0 | 0 | 0 | 0 |
| Divorce | 0 | 0 | 0 | 0 |
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| Grade 9–10 | 3 | 4 | 0 | 0 |
| Grade 11–12 | 1 | 0 | 0 | 0 |
| Certificate | 0 | 0 | 0 | 0 |
| Diploma | 2 | 1 | 3 | 15 |
| Degree | 3 | 0 | 0 | 8 |
| Other | 0 | 0 | 0 | 0 |
Responses of households of Negele town (n = 380) on latrine coverage and associated facilities.
| Variable | Frequency (%) of participants per each zone | Overall (%) | ||
|---|---|---|---|---|
| Center | East | West | ||
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| Yes | 82 (49.4) | 40 (31.7) | 50 (56.8) | 172 (45.3) |
| No | 84 (50.6) | 86 (68.3) | 38 (43.2) | 208 (54.7) |
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| 1–5 | 33 (40.2) | 12 (30.0) | 20 (40.0) | 65 (37.8) |
| 6–10 | 30 (36.6) | 8 (20.0) | 20 (40.0) | 58 (33.7) |
| Greater than 10 | 19 (23.2) | 20 (50) | 10 (20.0) | 49 (28.5) |
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| 2–3 | 27 (32.9) | 11 (27.5) | 16 (32.0) | 54 (31.4) |
| 3–5 | 28 (34.1) | 17 (42.5) | 12 (24.0) | 57 (33.1) |
| 6 | 9 (11.0) | 5 (12.5) | 4 (8.0) | 18 (10.5) |
| Greater than 6 | 18 (22.0) | 7 (17.5) | 18 (36.0) | 43 (25.0) |
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| Yes | 41 (50) | 15 (37.5) | 26 (52.0) | 82 (47.7) |
| No | 41 (50) | 25 (62.5) | 24 (48.0) | 90 (52.3) |
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| Yes | 39 (47.6) | 24 (60.0) | 18 (36.0) | 81 (47.1) |
| No | 43 (52.4) | 16 (40.0) | 32 (64.0) | 91 (52.9) |
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| Yes | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
| No | 82 (100) | 40 (100) | 50 (100) | 172 (100) |
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| Yes | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
| No | 82 (100) | 40 (1000 | 50 (100) | 172 (100) |
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| Yes | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
| No | 82 (100) | 40 (100) | 50 (100) | 172 (100) |
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| Yes | 36 (43.9) | 9 (22.5) | 12 (24.0) | 57 (33.1) |
| No | 46 (56.1) | 31 (77.5) | 38 (76.0) | 115 (69.9) |
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| Digging new toilet | 65 (79.3) | 20 (50.0) | 36 (72.0) | 121 (70.3) |
| Drainage to environment | 17 (20.7) | 20 (50.0) | 14 (28.0) | 51 (29.7) |
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| Clean and good for health | 5 (6.1) | 0 (0) | 1 2 (0) | 6 (3.5) |
| Dirty and unsuitable for health | 77 (93.9) | 40 (100) | 49 (98.0) | 166 (96.5) |
The responses to the first question were given by all household heads who participated in the study, whereas the responses to other questions in the table were provided by only households that possessed private latrines
Figure 1Appearances of some latrines of the participants of Negele town in 2018 (photo by Girma Deboch, 2018). (a) Incomplete wall with no roof, (b) surrounded by sacks to avoid exposure but with no roof, and (c) simple fence surrounded with no roof.
Observational checklist used to collect data from households (n = 380).
| No. | What was observed (present/absent if applicable) | Yes (%) | No (%) | Remark |
|---|---|---|---|---|
| 1 | Household latrine | 172 (45.3) | 208 (54.7) | |
| A | Latrine door | 81(47.1) | 91 (52.9) | For households that had latrines |
| B | Latrine roof | 82 (47.7) | 90 (42.3) | |
| C | Latrine hole cover | 0 | 172{100) | |
| D | Latrine water supply to clean | 0 | 172(100) | |
| E | Distance of latrine from kitchen | |||
| <6 m | 61 (35.5) | 111 (64.5) | ||
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| 2 | Using public latrine | 0 | 172 (100) | For households without latrine |
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| 3 | Practicing open defecation | Various parts of the town were observed | ||
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| 4 | Drinking-water source ( | |||
| A | Own private tap water | 29 (7.6) | 351(92.4) | |
| B | Others private tap water | For households with no private tap water | ||
| C | Public tap water | 0 | 351(100) | |
| D | River | |||
| E | Spring | |||
| F | Pond/rain | |||
Absence or presence was checked (Figures 1–3), but it was not possible to enumerate and calculate the percentages; was implicated as no functional public taps were available in the town during the study.
Defecation areas, plans, reasons for not having latrine, and problems faced by participants of Negele town (n = 208) who had no latrine before and during the study period.
| Variable | Frequency (%) of participants per zone | Overall (%) | ||
|---|---|---|---|---|
| Center | East | West | ||
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| Open space | 20 (23.8) | 26 (30.2) | 10 (26.3) | 56 (26.9) |
| Public toilet | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
| In bush | 16 (19.0) | 29 (33.7) | 9 (23.7) | 54 (26.0) |
| In house compound | 42 (50.0) | 22 (25.6) | 16 (42.1) | 80 (38.5) |
| Any place as needed | 6 (7.2) | 9 (10.5) | 3 (7.9) | 18 (8.6) |
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| Not knowing the importance of latrine | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
| Lack of enough land | 41 (48.8) | 35 (40.7) | 18 (47.4) | 94(45.3) |
| Lack of enough money | 36 (42.9) | 37 (43.0) | 12 (31.6) | 85 (40.8) |
| Other | 7 (8.3) | 14 (16.3) | 8 (21.0) | 29 (13.9) |
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| Lack of safety | 21 (25.0) | 25 (29.1) | 14 (36.8) | 60 (28.8) |
| Infectious disease | 12 (12.3) | 31 (36.0) | 9 (23.7) | 52 (25.0) |
| Pollution of living area | 32 (38.1) | 13 (15.1) | 6 (15.8) | 51 (24.6) |
| Moving out in the darkness | 19 (22.6) | 17 (19.8) | 9 (23.7) | 45 (21.6) |
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| Health extension | 17 (20.2) | 27 (31.4) | 18 (47.4) | 62 (29.8) |
| Local leader | 23 (27.4) | 13 (15.1) | 5 (13.1) | 41 (19.7) |
| Nobody | 44 (52.4) | 46 (53.5) | 15 (39.5) | 105 (50.5) |
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| Yes | 34 (40.5) | 25 (29.1) | 9 (23.7) | 68 (32.7) |
| No | 50 (59.5) | 61 (70.9) | 29 (76.3) | 140 (67.3) |
Key informants' response regarding latrine and water service coverage.
| Variables | Frequency (%) of participants | Overall (%) | |
|---|---|---|---|
| Male | Female | ||
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| Yes | 0 (0) | 0 (0) | 0 (0) |
| No | 34 (100) | 6 (100) | 40 (100) |
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| Suffering to use open defection | 15 (44.1) | 2 (33.3) | 17 (42.5) |
| Health problems related to waterborne diseases | 12 (35.3) | 2 (33.3) | 14 (35.0) |
| Environmental pollution | 7 (20.6) | 2 (33.3) | 9 (22.5) |
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| Low involvement of administration | 11 (32.4) | 2 (33.3) | 13 (32.5) |
| Knowledge and attitude-related problems | 13 (38.2) | 2 (33.3) | 15 (37.5) |
| Shortage of income | 5 (14.7) | 1 (16.7) | 6 (15.0) |
| Lack of enough land | 3 (8.7) | 0 (0) | 3 (7.5) |
| Lack of follow-up | 2 (6.0) | 1 (1.7) | 3 (7.5) |
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| Moving out in the dark for defecation | 18 (52.9) | 3 (50.0) | 21(52.5) |
| Women and girls lack safety and privacy | 11 (32.4) | 1 (16.7) | 12 (30.0) |
| Suffering from bad odor when defecating around home | 5 (14.7) | 2 (33.3) | 7 (17.5) |
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| Shortage of water from the source and lack of water tanks | 9 (26.5) | 0 (0) | 9 (22.5) |
| Nonfunctioning of public pipe | 14 (41.2) | 4 (66.7) | 18 (45.0) |
| Low involvement of administration | 8 (23.5) | 2 (33.3) | 10 (25.0) |
| Low income of the households | 3 (8.8) | 0 (0) | 3 (7.5) |
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| Yes | 11 (32.4) | 2 (33.3) | 13 (32.5) |
| No | 23 (67.6) | 4 (66.7) | 27 (67.5) |
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| 26–50 | 1 (3.0) | 0 (0) | 1(2.5) |
| 51–80 | 6 (17.6) | 1 (16.7) | 7 (17.5) |
| 81 & above | 4 (11.8) | 1 (16.7) | 5 (12.5) |
| No response | 23 (67.6) | 4 (66.7) | 27 (67.5) |
Figure 2Some open defecation sites in Negele town (photo by Girma Deboch, 2018).
Water service coverage and related conditions of Negele town in 2018.
| Variable | Frequency (%) of participants per zone | Overall (%) | ||
|---|---|---|---|---|
| General | Eastern | Western | ||
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| Yes | 29 (17.5) | 0 (0) | 0 (0) | 29 (7.6) |
| No | 137 (82.5) | 126 (100) | 88 (100) | 351(92.4) |
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| Others' private tap water | 39 (28.5) | 13 (10.3) | 4 (4.5) | 56 (16.0) |
| Nano River | 72 (52.5) | 83 (65.9) | 58 (66.0) | 213 (60.6) |
| Pond and rain | 26 (19.0) | 30 (23.8) | 26 (29.5) | 82 (23.4) |
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| Yes | 0 | 0 | 0 | 0 (0) |
| No | 137 (100) | 126 (100) | 88 (100) | 351 (100) |
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| Yes, using chemicals like “Bishangari | 15 (11.0) | 3 (2.4) | 3 (3.4) | 21 (6.0) |
| Yes, boiling | 28 (20.4) | 26 (20.6) | 21 (24.0) | 75 (21.4) |
| No | 94 (68.6) | 97 (77.0) | 64 (72.6) | 255 (72.6) |
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| Yes | 82 (60.0) | 56 (44.4) | 55 (62.5) | 193 (55.0) |
| No | 55 (40.0) | 70 (55.6) | 33 (37.5) | 158 (45.0) |
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| Yes | 60 (43.8) | 67 (53.2) | 53 (60.2) | 180 (51.3) |
| No | 77 (56.2) | 59 (46.8) | 35 (39.8) | 171 (48.7) |
Chlorine-based water treatment solution; a mixture of aluminum sulfate and calcium hypochlorite solution, both are available in local markets and people are advised and encouraged to use them to treat water at home.
Figure 3Fetching water from Nano River and transporting for longer distances on the back of people (a, b) and fetching water from the private tap with long waiting line (c) and transporting using a horse (d) (photo by Girma Deboch, 2018).
Figure 4Nonfunctional public pipes (a–c) in the study area (photo by Girma Deboch, 2018).
Association of having latrine and various factors (X2 = Chi-square).
| Factor | Description | Have latrine |
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|---|---|---|---|---|---|
| Yes | No | ||||
| Zone | Central | 82 | 84 | 15.180 |
|
| Eastern | 40 | 86 | |||
| Western | 50 | 38 | |||
| Sex | Male | 112 | 130 | 0.279 | 0.598 |
| Female | 60 | 78 | |||
| Age | 18–40 | 65 | 123 | 17.177 |
|
| 41–60 | 79 | 62 | |||
| 61–80 | 28 | 23 | |||
| Religion | Muslim | 142 | 185 | 3.197 | 0.074 |
| Christian | 30 | 23 | |||
| Educational status | No formal education | 61 | 57 | 10.616 |
|
| Primary (1–8) | 75 | 121 | |||
| Secondary (9–12) | 21 | 23 | |||
| >Grade 12 | 15 | 7 | |||
| Marital status | Single | 52 | 48 | 8.891 |
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| Married | 106 | 154 | |||
| Widow | 14 | 6 | |||
| Divorced | 0 | 0 | |||
| Family size | 1–4 | 85 | 142 | 14.23 |
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| 5–10 | 63 | 45 | |||
| >10 | 24 | 21 | |||
| Occupation | Farmer | 75 | 101 | 4.250 | 0.373 |
| Merchant | 51 | 69 | |||
| Government employee | 22 | 19 | |||
| Daily laborer | 7 | 7 | |||
| Other | 17 | 12 | |||
, Values show significant associations at p ≤ 0.01 and p ≤ 0.05, respectively.
Association of having tap water and various factors (X2 = result of Chi-square).
| Factor | Description | Having private tap water | Not having private tap water |
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|---|---|---|---|---|---|
| Zone | Central | 29 | 137 | 40.447 |
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| Eastern | 0 | 126 | |||
| Western | 0 | 88 | |||
| Sex | Male | 19 | 223 | 0.046 | 0.831 |
| Female | 10 | 128 | |||
| Age | 18–40 | 8 | 180 | 10.452 |
|
| 41–60 | 12 | 129 | |||
| 61–80 | 9 | 42 | |||
| Religion | Muslim | 27 | 300 | 1.300 | 0.254 |
| Christian | 2 | 51 | |||
| Educational status | No formal education | 3 | 115 | 11.882 |
|
| Primary (1–8) | 17 | 179 | |||
| Secondary (9–12) | 8 | 36 | |||
| >Grade 12 | 1 | 21 | |||
| Marital status | Single | 2 | 98 | 8.947 |
|
| Married | 27 | 233 | |||
| Widow | 0 | 20 | |||
| Divorced | 0 | 0 | |||
| Family size | 1–4 | 9 | 218 | 15.095 |
|
| 5–10 | 11 | 97 | |||
| >10 | 9 | 36 | |||
| Occupation | Farmer | 10 | 166 | 7.763 | 0.101 |
| Merchant | 8 | 112 | |||
| Governmental | 6 | 35 | |||
| Daily laborer | 3 | 11 | |||
| Other | 2 | 27 |
, Values show significant associations at p ≤ 0.01 and p ≤ 0.05, respectively.