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Erschienen in: BMC Public Health 1/2017

Open Access 01.12.2017 | Research article

Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia

verfasst von: Mulugeta Bayisa Chala, Solomon Mekonnen, Gashaw Andargie, Yigzaw Kebede, Mezgebu Yitayal, Kassahun Alemu, Tadesse Awoke, Mamo Wubeshet, Temesgen Azmeraw, Melkamu Birku, Amare Tariku, Abebaw Gebeyehu, Alemayehu Shimeka, Zemichael Gizaw

Erschienen in: BMC Public Health | Ausgabe 1/2017

Abstract

Background

Despite the high burden of disability in Ethiopia, little is known about it, particularly in the study area. Hence, this study aimed to investigate the prevalence and factors associated with disability at Dabat Health and Demographic Surveillance System (HDSS) site, northwest Ethiopia.

Method

A population-based study was conducted from October to December 2014 at Dabat HDSS site. A total of 67,395 people were included in the study. The multivariable binary logistic regression analysis was employed to identify factors associated with disability. The Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) was estimated to show the strength of association. A p-value of <0.05 was used to declare statistical significance.

Results

One thousand two hundred twenty-eight individuals were reported to have a disability giving a prevalence rate of 1.82%, of which, about 39% was related to a vision disability. The high odds of disability were observed among the elderly (≥50 years) [AOR: 4.49; 95% CI: 1.95, 10.33], severely food in-secured [AOR: 2.11; 95% CI: 1.59, 2.80], and separated marital status [AOR: 7.52; 95% CI: 1.18, 47.84]. While having a paid job [AOR: 0.46; 95% CI: 0.28, 0.77], being in the richest quintile [AOR: 0.55; 95% CI: 0.41, 0.75], and high engagement in work-related physical activities [AOR: 0.36; 95% CI: 0.27, 0.49] were inversely associated with the disability.

Conclusion

Disability is a major public health problem, and the burden is noticeable in the study area. Vision disability is the highest of all disabilities. Thus, efforts must be made on educating the public about disability and injury prevention. Measures that reduce disability should target the elderly, the poorer and the unemployed segment of the population.
Abkürzungen
ADL
Activities of daily livings
AOR
Adjusted odds ratio
HDSS
Health and demographic surveillance system
HFIAS
Household Food Insecurity Access Scale
HRS
Household Registration System
INDEPTH
International Network of Demographic Evaluation of Populations and Their Health
LFS AHM
Labour Force Survey ad hoc module
PCA
Principal Component Analysis
SADPD
Secretariat for the African decade of disabled person

Background

The World Health Organization estimates that globally around 1 billion people (15%) live with some sort of disability [1]; the majority live in resource-limited settings [2, 3]. This number is increasing due to the rise of an aging population, advancement of medical care, and population growth across the world [3]. However, the subject is considered as a human right and global health issues as well as an agenda for development [2].
Disability is defined as having difficulties with performing activities of daily living (ADL), and the phenomena are expressed as an interaction between an individual’s health condition and the environment he or she is living in [4, 5]. The Washington group defined disability as having at least a severe difficulty or limitation in performing key ADL, such as sight, hearing, walking or climbing steps, remembering, or concentrating [6].
People with disability face different challenges during their lifetime. This can be explained by social exclusion, stigma, severe health challenges, limited access to school and business [4]. In addition, it affects not only the person’s individual life but also his or her participation and role in society [2]. The difficulties and barriers experienced by people with disabilities are not only due to their own health conditions, but also because of inadequate policies and standards empowering and supporting these people. This is usually reflected in negative attitudes towards them, prejudices, and the inaccessibility of services [2]. In fact, disability is also linked with poverty [5, 7, 8], and people living with disabilities in developing countries face many challenges in their daily life.
Disability is caused by several factors, such as poor living conditions, poor nutrition, lack of health and sanitation facilities, different forms of accidents and injuries [7], congenital malformation, psychological dysfunctions, and birth related incidents [9].
In order to create equal opportunities in every sphere of their life, many countries, including Ethiopia, signed the convention of the rights of people with disabilities ratified by the United Nations in 2006 [2]. However, there is a major gap between implementing the stated convention and the day to day life of people with a disability. Besides, the convention urges the member countries to establish a proper mechanism that ensures a regular collection of data at the population level [10].
Ethiopia has also signed the African Decades of Disabled Persons (SADPD), which was established in South Africa in 2004 with the responsibility of coordinating efforts and resources on disability programs in Africa [7]. However, in lower and middle-income countries, such as Ethiopia, information on specific interventions, service utilization, and legislation is lacking [11]. In addition, there are only a small number of inaccessible rehabilitation facilities in the country. Besides, the lack of accessibility and employment opportunities are noted in almost all of the service areas [7], making it very challenging for people with disabilities to get out of the poverty-disability cycle. Despite the high burden, and interwoven challenges, little is known about disability in Ethiopia, particularly in the study area. This is believed to impose a great challenge for policy makers and planners to include people with disability in the inclusive development. Hence, the aim of this study was to assess the self-reported prevalence and factors associated with disability at the Dabat HDSS site.

Methods

Study design and setting

The study was conducted at the Dabat HDSS site where the census is conducted every 7 years in order to assess the changes in vital events, demography (living conditions, economic status, and health) of the population. The detailed activities of the HDSS site are mentioned elsewhere [12].This study is part of the re-census conducted from October to December 2014.
The Dabat HDSS site is located in Dabat District, northwest Ethiopia. The site was established in 1996. It covers a total of 13 kebeles, smallest administrative unit in Ethiopia, (9 rural and 4 urban) with 16,053 households and 67,395 inhabitants. The kebeles in the surveillance site were selected randomly, by taking all ecological zones (high land, middle land, and lowland) into account. Every household in the selected kebeles were targeted during the data collection period. Dabat HDSS is a full member of the International Network of Demographic Evaluation of Populations and Their Health (INDEPTH), a network of 44 HDSSs from the Global South.

Study population and data collection

All permanent residents in the Dabat HDSS site were included in the study. The heads of each household were interviewed to collect the necessary information with regard to events that happened in the family. When a member of a family was found to have any form of disability, he or she was interviewed by trained, diploma graduate data collectors working in the research site using a structured and pretested questionnaire. The study utilized the re-census data.
Disability, the outcome variable, was defined according to the 2011 Labor Force Survey ad hoc module (LFS AHM) [13]. Hence, the status of disability is ascertained if a person has difficulty in carrying out any of the basic activities of hearing, seeing, walking, self-care, and cognition as parts of activities of daily living. A binary outcome of “yes” or “no” option was given to identify the presence or absence of disability. For example, a respondent would answer “yes” if he or she had difficulty in self-care, and “no” if there is no problem at all. Different independent variables (Table 1) were used to assess if there was an association with our outcome variable.
Table 1
Socio-demographic characteristics of the population of Dabat HDSS, northwest Ethiopia, October-December 2014 (N = 67,395)
Variables
Frequency
Percent
Sex
 Male
 Female
33,181
34,214
49.23
50.77
Age in years
  ≤ 14
 15 to 49
  ≥ 50
28,956
29,807
8630
42.97
44.23
12.81
Residence
 Rural
 Urban
50,769
16,835
75.10
24.9
Marital status
 Under 10 years old
 Married
 Single
 Divorced
 Widowed
 Separated
 Cohabiting
20,089
21,814
19,746
2390
2369
917
68
29.81
32.37
29.30
3.55
3.52
1.36
0.10
Religion
 Orthodox
 Muslim
 Othersa
64,940
2444
11
96.36
3.63
0.01
Ethnicity
 Amhara
 Tigre
 Othersb
67,294
84
17
99.85
0.12
0.02
Education
 Not on education (<7 years)
 Unable to read and write
 Read and write
 Grade 1–4
 Grade 5–6
 Grade 7–8
 Grade 9–10
 Grade 11–12
 Grade 12 and above
13,672
21,149
5541
10,960
4560
3590
4375
1957
1591
20.29
31.38
8.22
16.26
6.77
5.33
6.49
2.90
2.36
Doing work related physical activity
 Never
 Sometimes
 Most of the time
4498
16,414
16,872
12.00
43.00
45.00
Occupation
 No occupation(under 10 years)
 Students
 Farmers
 Employed permanent
 Private job
 Job seeker
 Merchant
 House maid
 Employed contract
 Retired
 Others(housewife, shepherd, disabled)
20,436
13,955
12,647
1951
1167
1056
656
623
328
296
33
38.45
26.26
23.80
3.67
2.20
1.99
1.23
1.17
0.62
0.56
0.05
Location
 Low land
 High land
22,380
45,015
33.2
66.8
Relation to the HH head
 HH head
 Housewife
 Son/daughter
 Sister/brother
 Mother/father
 Grandson/granddaughter
 Other relative
 Other non-relative
16,082
10,542
34,702
538
310
3095
1196
930
23.86
15.64
51.49
0.80
0.46
4.59
1.77
1.38
Family size
 1–4
 5–9
 10–15
24,512
41,667
1250
36.35
61.79
1.85
Wealth status
 Poorest quintile
 Second quintile
 Third quintile
 Fourth quintile
 Richest Quintile
9475
11,344
13,031
14,593
16,577
14.58
17.45
20.05
22.45
25.47
a Catholic and Protestant
b Oromo and Agaw
HH stands for Household
Food Security is defined as existing when “all people, at all times, have physical and economic access to sufficient, safe, and nutritious food to meet their dietary needs and food preferences for an active and healthy life”. In order to assess the Food security status of households, an 18 item community food insecurity accessible scale assessment tool was adapted from Household Food Insecurity Access Scale (HFIAS): Indicator Guide VERSION 3 and categorized into four levels using HFIS variables [14]. If the respondent answers “yes” to an occurrence question, a frequency of occurrence question was asked to determine whether the condition happened rarely (once or twice), sometimes (three to ten times) or often (more than ten times) in the past 4 weeks (food secure, mildly food insecure, moderately food insecure, severely food insecure). This scale has already been validated in Ethiopia [15].
The household wealth index was computed for urban and rural residents separately using the Principal Component Analysis (PCA). The urban wealth status was calculated by considering properties, like selecting household assets, while the only tropical livestock unit was used for the rural residents. The variables were initially screened using the commonality value. In the PCA, the Eigenvalue of greater than one, the KMO distribution, and in the final model, the common factor scores were summed and ranked in Poorest quintile, Second quintile, Third quintile, Fourth quintile, and Richest Quintile [16].

Data processing and analysis

Data was entered into the Household Registration System (HRS) version 2.1 and analyzed using STATA version 14. Binary logistic regression was fitted to elicit factors associated with disability. The bivariable analysis was carried out, and variables with p-values of <0.2 were fitted to the multivariable logistic regression analysis. Both the crude odds ratio (COR) and the adjusted odds ratio (AOR) with the corresponding 95% Confidence Interval (CI) were used to show the strength of association. Finally, a p-value of <0.05 was used to declare statistical significance.

Results

A population of 67,395 living in 16, 039 households were included in the study. About 34,214 (50.77%) respondents were female and 50,769 (75.1%) were rural dwellers. The mean age of the study subjects was 23.1 years (SD 19.1 years). Nearly half, 28,952 (42.96%), of the participants were under 15 years of age (Table 1).
In this community, 1228 people were found with disabilities which corresponds to the overall prevalence rate of 1.82% [95%CI, 1.72, 1.92]. The mean (±SD) age of people with disabilities was 44.36 (±23.2) years. Regarding the types of disability, more than one-third, 534 (39%), were related to vision disability, followed by hearing 244 (18%) and walking 230 (17%) disabilities (Fig. 1). Moreover, cognitive and self-care disabilities account for 210 (15%) and 112 (11%), respectively, for the total disability. Among 1228 people who reported a disability, 11.5% of them have reported two or more types of disabilities.
Fall down injury and penetration by animal horn accounted for 155 (35.9%) and 88 (20.4%), respectively, of the common causes of disability (Table 2). Of the total study participants who experienced injury, 155 (35.9%) did not seek any treatment, while 85 (19.7%) went to traditional healers and 85 (19.7%) obtained some sort of treatment at home (Table 2). Regardless of gender, the proportion of vision disability increased with increasing age, while the rest of the disabilities were prevalent among the working age group (15–49 years old). One thousand three hundred sixty nine number of disabilities (20.3 cases per 1000 population) types of disabilities were reported among Dabat HDSS (Table 3).
Table 2
Causes of injury and post-injury health seeking behaviour among Dabat HDSS, North West Ethiopia, October-December 2014 (N = 432)
Variable
Frequency
Percentage
Causes of injury
 Fall
155
35.9
 Burn
13
3.00
 Poisoning
8
1.85
 Drowning
1
0.23
 Car accident
12
2.77
 Sharp objects
57
13.12
 Farming equipment
9
2.08
 Hit by other person by stick
55
12.73
 Animal Bite
34
7.87
 Penetration by animals
88
20.4
Post injury health seeking behavior (N = 432)
 Did not need help
155
35.9
 Treatment at home
85
19.6
 Health post
17
3.9
 Clinic
7
1.62
 Health center
57
13.2
 Hospital
26
6.02
 Traditional Healer
85
19.7
Table 3
Types of disability by age and gender at Dabat HDSS, October-December 2014 (N = 67,395)
Types of disability (N = 1369)
Age < 5 years
Age 5–15 years
Age 15–49 years
Age ≥ 50 years
Total
M
N = 4584
F
N = 4503
M
N = 9876
F
N = 9985
M
N = 14,601
F
N = 15,206
M
N = 4109
F
N = 4521
M
N = 33,181
F
N = 34,214
n (%)
Cognitive
N = 208
1 (0.02)
2 (0.04)
10 (0.10)
10 (0.10)
57 (0.39)
79 (0.52)
18 (0.44)
31(0.69)
86 (0.26)
122 (0.36)
Vision
N = 534
3 (0.07)
0 (0.00)
16 (0.16)
21 (0.21)
56 (0.38)
94 (0.62)
143 (3.48)
201(4.45)
218 (0.66)
316 (0.92)
Hearing
N = 244
2 (0.04)
0 (0.00)
15 (0.15)
13 (0.13)
52 (0.36)
67 (0.44)
41 (1.00)
54 (1.2)
110 (0.33)
134 (0.39)
Walking
N = 230
3 (0.07)
4 (0.1)
20 (0.2)
6 (0.06)
51 (0.35)
50 (0.33)
51(1.24)
45 (1)
125 (0.38)
105 (0.31)
Self-care
N = 153
3 (0.07)
4 (0.09)
11 (0.11)
9 (0.09)
30 (0.21)
33 (0.22)
36 (0.88)
27 (0.6)
80 (0.24)
73 (0.21)
The result of the multivariable logistic regression analysis showed that age, food security status, marital status, occupation, wealth status, and work-related physical activities were significantly and independently associated with disability. Consequently, the odds of getting disability were 4.49 times higher among elderly (≥ 50 years) population, compared to the younger ones (≤14 years) [AOR = 4.49; 95% CI: 1.95, 10.33]. The likelihood of disability was high among respondents with separated marital status [AOR = 7.52; 95% CI: 1.18, 47.84] and food in- secured households [AOR: 2.11; 95% CI: 1.59, 2.80]. However, being engaged in paid jobs was noted with lower odds of disability [AOR = 0.46; 95% CI: 0.28, 0.77] as compared to their counterparts. Similarly, respondents from a household with the highest wealth status [AOR: 0.76; 95% CI: 0.57, 1.00] and mostly engaged in work-related physical activities [AOR: 0.36; 95% CI: 0.27, 0.49] were found with lower odds of getting a disability (Table 4).
Table 4
Factors associated with disability among people at Dabat HDSS site, northwest Ethiopia, 2014
Variables
Disability yes n(%)
COR (95%CI)
AOR (95%CI)
Over all p-value
Sex
 Female
679 (1.98)
 
1
0.001
 Male
547 (1.65)
0.82 (0.74,0.93)
0.98 (0.75, 1.28)
Age in year
  ≤ 14
137 (0.47)
1.00
 
<0.001
 15 to 49
517 (1.73)
3.71 (3.03, 4.48)
1.57 (0.70, 3.53)
  > 50
572 (6.63)
14.9 (12.37, 18.1)
4.49 (1.95, 10.33)
Wealth status
<0.001
 Poorest quintile
314 (3.31)
1
 
 Second quintile
256 (2.26)
67.4 (0.56,0.79)
0.76 (0.57, 1.00)
 Third quintile
201 (1.54)
0.45 (0.38, 0.54)
0.75 (0.56, 0.99)
 Fourth quintile
238 (1.63)
0.48 (0.40, 0.57)
0.67 (0.51, 0.89)
 Richest quintile
195 (1.18)
0.34 (0.29, 0.42)
0.55 (0.41, 0.75)
Residence
>0.05
 Rural
909 (1.79)
1
 
 Urban
319 (1.89)
1.06 (0.93, 1.21)
0.99 (0.76, 1.30)
Educational status
<0.001
 Illiterate
44 (0.32)
1
 
 Can read & write
823 (3.89)
12.5 (9.25, 16.9)
0.85 (0.16, 4.51)
 Primary school
110 (1.99)
6 27 (4.41, 8.91)
0.6 (0.11, 3.19)
 High school
87 (0.79)
2.48 (1.72, 3.56)
0.6 (0.11, 3.18)
 Diploma and above
162 (1.01)
3.15 (2.26, 4.40)
0.3 (0.06, 1.63)
Occupation
 Under age
114 (0.56)
1
  
 Student
120 (0.86)
1.54 (1.19, 1.99)
0.50 (0.29, 0.87)
<0.001
 Farmer
277 (2.19)
3.99 (3.20, 4.97)
0.47 (0.30, 0.74)
<0.001
 All type of paid job
81 (1.71)
3.10 (2.33, 4.14)
0.46 (0.28, 0.77)
<0.001
 Unemployed
17 (1.61)
2.92 (1.74, 4.87)
0.66 (0.32, 1.33)
<0.001
 Other
55 (16.72)
35 (25.39, 50.4)
1.25 (0.74, 2.11)
<0.001
Doing work related physical activity
<0.001
 Never
400 (8.89)
1
 
 Sometimes
375 (2.28)
0.24 (0.21, 0.27)
0.59 (0.46, 0.77)
 Most of the time
275 (1.61)
0.17 (0.14, 0.19)
0.36 (0.27, 0.49)
Food security
 Secure
427 (1.33)
1
  
 Mildly insecure
115 (1.58)
1.18 (0.96, 1.46)
1.18 (0.86, 1.62)
0.105
 Moderately insecure
430 (2.26)
1.71 (1.49, 1.96)
1.49 (1.20, 1.86)
<0.01
 Severely insecure
202 (3.52)
2.69 (2.28, 3.19)
2.11 (1.59, 2.80)
<0.01
Location of place
 High land
830 (1.84)
1
  
 Low land
396 (1.77)
0.96 (0.85, 1.08)
0.93 (0.75, 1.15)
0.520
Marital status
 Under age
79 (0.39)
1
  
 Married
460 (2.11)
5.45 (4.29, 6.93)
4.07 (0.67, 24.51)
<0.001
 Single
312 (1.58)
4.07 (3.17, 5.21)
5.25 (0.87, 31.51)
<0.001
 Divorced
143 (5.98)
16 (12.20, 21.3)
5.47 (0.90, 33.31)
<0.001
 Widowed
205 (8.69)
23.9 (18.4, 31.2)
4.03 (0.66, 24.70)
<0.001
 Separated
27 (2.74)
7 (4.58, 11.1)
7.52 (1.18, 47.84)
<0.001

Discussion

This study is one of the largest studies conducted to document key health events in Ethiopia. The overall prevalence of disability was 1.82%. This burden corresponds to 7.6% of households reporting at least one person with disability.
Our finding is in line with the study done in Ghana, 1.8% [17]. This prevalence was lower than that of a previous study done in northern Ethiopia, which was 4.9% [18]. However, it was higher than the prevalence reported from other developing countries, such as Bahrain 0.4% [19] and Nepal 1% [20]. The observed discrepancy could be attributed to variations in the measurement of disability, methods utilized [21], and the primary goals of the surveys [22]. The burden of disability in our study corresponds to 7.6% of households reporting at least one person with disability. This figure is lower than what was reported by a national disability survey conducted in Zimbabwe, where 26% of households reported at least one member with disability [23].
In this study, vision disability accounts for 534 (39%) of the total disability burden. This finding is consistent with what was reported by other African countries: Nigeria 37% [9], South Africa, 32%) [24], and Zimbabwe (26%) [23]. This could be explained by poor eye hygiene, a level of access to health care, and health seeking behaviors in most developing countries, in Africa.
Out of the total reported disability, the proportion of hearing disability was 21%. This finding was comparable to that of the study done in South Africa, which was 20% [25], whereas it was 15% in Nigeria [9] and 12% in Zimbabwe [23]. The commonest causes of hearing disabilities in low and middle-income countries are infections from meningitis, measles, maternal rubella, febrile illnesses, and genetic traits [11]. In addition, another study claimed that increasing age was associated with hearing disability [26].
In our study, increasing age was significantly associated with disability. Similar to our finding, a previous study demonstrated that there was a strong association between older age and disability [22]. This is due to the presence of co-morbidities, chronic illnesses, and injuries. Similarly, a study in India indicates that co-morbidities, such as non-communicable diseases, increase with aging, which heightened the risk of developing disability [27]. A census of South Africa also showed that the prevalence of disability increased with age, the lowest (0.2%) was observed in the age group of 0–9 years, while the highest (27%) was among those aged 80 years and above [20, 24].
Household wealth status was inversely associated with disability. The result was supported by previous reports elsewhere [18, 25]. In fact, poor living conditions, unsafe working environments, poor nutrition, lack of access to clean water, basic sanitation, health care and education [28] are all linked to low socioeconomic status which further predisposes to the risk of developing a disability. A survey from 49 countries also indicated that disability was more prevalent in poorer than in the richest wealth quintiles [1]. Similarly, one of the local studies in Ethiopia showed that the prevalence of adult disability falls as wealth increases [1]. It was also reported that severe household food insecurity was associated with higher odds of getting a disability, which was supported by other findings [18, 26]. Access to nutrition for poor people is a serious problem in Ethiopia [29]. Evidence showed that access to good nutrition is directly related to food security, which has its own implications on the incidence of disability [22].
In this study, separated marital status increased the odds of having a disability. According to a study in the Netherlands on the population of 18,973 aged 15–74, married people were found with lesser odds of disability compared to their unmarried counterparts, single, divorced, or widowed [30]. Another study done in middle and low-income countries also showed that the prevalence was higher among divorced/separated/widowed adults than among the married/cohabiting respondents [2]. A disability doesn’t affect only individual health but also brings family/social crisis in a marriage. A previous study indicated that parents with a child on the Autistic Spectrum got divorced [31].
This is one of the biggest studies investigating the burden of disability in northwest Ethiopia and is believed to fill the knowledge gap and contribute to policy determination, clinical practice, and decision-making in the country. However, it is not free from some limitations. For instance, the study did not show the severity as well as the definitive causes of disability due to the cross-sectional nature of the study. In addition, the self-reported nature of this study means that the problems can be under or over reported. Disability is an umbrella term and the problems associated with it were not studied in depth. For example, the magnitude of limitations in each and every activity of daily living was not assessed.

Conclusion

Even though the prevalence of disability in our finding is lower than the global statistics, the study reveals that there is a noticeable burden of disability at the Dabat HDSS site. Vision disability is the highest of all disabilities. Age, wealth status, food security status, marital, and occupational status were significantly associated with disability. Community education and creating a safe environment are key to prevent injuries which can result in disabilities. There is also a need to establish social protection strategies for the older, food in-secured, and poorest segments of the community. Furthermore, future researches need to cover a wider range and depth of disability to properly quantify disability and problems associated with it.

Acknowledgements

Authors would like to thank the Dabat population and all respondents for their willingness to participate in the study. They are also grateful to the University of Gondar, Ethiopian Public Health Association/CDC for funding and material support. Finally, authors’ appreciations go to Dabat HDSS site staffs for their unreserved contribution in data collection activities.

Authors’ contribution

MBC*, SM, GA, YK, MY, KA, TA, MW, AG designed the study, developed the tool, coordinated the data collection activity. MB*, SM, GA, TA, AS, AT, ZG carried out the statistical analysis. EG participated in the design of the study, tool development, and drafting the manuscript. MB*, SM AT, GA drafted the manuscript. All authors read and approved the final manuscript.

Funding

This study was funded by Ethiopian Public Health Association/CDC and the University of Gondar. The views presented in the article are of the author and not necessarily express the views of the funding organization. The funders were not involved in the design of the study, data collection, analysis and interpretation.

Availability of data and materials

Data will be available upon request from the corresponding author.
The study protocol was ethically approved by the Ethical Review Board (IRB) of the University of Gondar. Written informed consent was obtained from the head of the household. Moreover, the confidentiality of information was guaranteed by using code numbers rather than personal identifiers and by keeping the data locked.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Metadaten
Titel
Prevalence of disability and associated factors in Dabat Health and Demographic Surveillance System site, northwest Ethiopia
verfasst von
Mulugeta Bayisa Chala
Solomon Mekonnen
Gashaw Andargie
Yigzaw Kebede
Mezgebu Yitayal
Kassahun Alemu
Tadesse Awoke
Mamo Wubeshet
Temesgen Azmeraw
Melkamu Birku
Amare Tariku
Abebaw Gebeyehu
Alemayehu Shimeka
Zemichael Gizaw
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2017
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-017-4763-0

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