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Dietary diversity and related factors among lactating women visiting public health facilities in Aksum town, Tigray, Northern Ethiopia
https://doi.org/10.1186/s40795-016-0077-3
© The Author(s). 2016
Received: 19 January 2016
Accepted: 25 June 2016
Published: 7 July 2016
Abstract
Background
Dietary diversity is a proxy indicator of maternal nutrient adequacy. However, little is documented on dietary diversity among lactating mothers. Therefore, this study assessed diet diversity and associated factors among lactating mothers visiting public health facilities in Aksum town, Tigray, Northern Ethiopia.
Methods
An institution based cross-sectional study was conducted on 346 randomly selected lactating women visiting public health facilities of Aksum town in June 2015. Dietary diversity was assessed using 24 h dietary recall method. A mean dietary diversity score (DDS) was computed of nine food groups. Food insecurity access was measured using 9 items Household Food Insecurity Access Scale (HFIAS). Data were entered and analyzed using SPSS version 20.
Results
More than a quarter (27.2 %) of the lactating mothers was from food insecure households. The mean DDS was 3.4 and a total of 56.4 % lactating mothers had low dietary diversity (less than mean DDS). Average monthly income, home gardening and source of drinking water were associated with low dietary diversity. Lactating mothers who had monthly income of less than 501 ETB [AOR = 2.3, 95 % CI (1.2, 4.6)] and 501 to 1500 ETB [AOR = 3.0, 95 % CI (1.4, 6.3)] were more likely to have low dietary diversity than those who had monthly income above 1500 ETB. And those who did not practice home gardening were more likely to have low dietary diversity than their counterparts [AOR = 2.1, 95 % CI (1.01, 4.2)]. Regarding source of drinking water, mothers who reported protected well as a main source were more likely to have low dietary diversity compared to those who reported tap water as main source [AOR = 4.5, 95 % CI (1.1, 18.2)].
Conclusions
Dietary diversity among lactating mothers was low. Factors like monthly income less than 501 ETB and 501 to 1500 ETB, not having home gardening, and source of drinking water from protected well were significantly associated with low dietary diversity. Attention should be paid to dietary diversity of lactating mothers to improve their nutritional status, and that of their children and their family.
Keywords
Background
Women at reproductive age, particularly those who live in low and middle income countries, are vulnerable to malnutrition for two major reasons. Physiological vulnerability which comes with childbearing is the first reason. Moreover, maternal nutrient needs increase during pregnancy and lactation, and when these needs are not met, women may suffer from malnutrition [1–5]. During lactation, the energy, protein, and other nutrients in breast milk come from a mother’s diet or her own body stores. Lactating women who do not get enough energy and nutrients in their diets risk maternal depletion [3–6]. This exacerbates maternal malnutrition [7, 8]. In addition, maternal deficiencies of nutrients can affect the quality of breast milk which can adversely affect the nutritional status of their child and eventually compromise the overall growth and development of the child [3–5, 9, 10].
According to the United Nations Children’s Fund (UNICEF) conceptual framework of malnutrition, the immediate causes of maternal malnutrition are inadequate dietary intake and diseases; while the underlying causes are inadequate access for food, inadequate care for women and insufficient health services and unhealthy environment [11]. These causes are recognized as stemming from wider contextual factors such as educational and socioeconomic status, ethnic and cultural beliefs, agricultural practices, national policies, and food insecurity [12].
One of the proxy indicators for measuring dietary adequacy among lactating mothers is dietary diversity which is defined as the number of different foods or food groups (9 food groups in this case) consumed over a given reference period [13–21]. The diets of lactating mothers reflect not only their own intake, but also the diets of their small children and families [22–25]. That is, maternal dietary diversity is also strongly linked to that of infants in the same household and to the average household nutrient adequacy. In short, lactating mothers with higher dietary diversity have children and family with higher dietary diversity [19, 22–25]. Hence, ensuring maternal dietary diversity to the acceptable level is very important in tackling malnutrition.
However, literatures evidenced that dietary diversity among lactating mothers is very low in Ethiopia. According to a study conducted in three countries; Vietnam, Bangladesh, and Ethiopia, dietary diversity was very low in nearly three fourth of lactating mothers in Ethiopia [26]. A number of factors could contribute to poor dietary diversity. Evidences show that many factors including maternal education, food security and socioeconomic status could act as barriers to diversified dietary use [26, 27]. Moreover, maternal knowledge [26], health status [26, 27] and season could influence dietary diversity [16, 27]. These factors could vary from setting to setting. Therefore, information on dietary diversity and associated factors of lactating mothers are urgently needed for prioritizing, designing and initiating intervention programs aiming at improving maternal and child nutrition. However, little is documented on dietary diversity and the associated factors in the study area. Therefore, this study aims to assess dietary diversity and associated factors among lactating mothers in Aksum town, Tigray region, North Ethiopia.
Methods
Study setting and population
Health facility based cross-sectional design was employed to assess dietary diversity among lactating mothers in public health facilities of Aksum town. Aksum town is located in the Northern part of Ethiopia with an elevation of 2131 m (6991 ft) above sea level, with annual average temperature of 18.30c and annual rain fall of 652 mm. It is 1042 kms far from Addis Ababa, the capital of Ethiopia and 270 kms away from Mekelle (the capital city of Tigray regional state). Aksum is the ancient historical town which has an area of 3247 km2. Based on the town administrative office 2013 report, the total population is 59,300 (28,637 are males and 30,663 are females). Administratively, the town is divided in to 4 kebeles (the smallest administrative units). In Aksum town, there are 2 governmental health centers and 1 governmental general hospital. Lactating mothers who visit the public health facilities during the study period were considered as the study population. The inclusion criteria were being 15–49 years lactating mother and being resident of Aksum town for at least 6 months. Lactating mothers who were seriously ill and/or had difficulty to communicate were excluded. The data collection was undertaken in June, 2015.
Sample size and sampling procedures
The required sample size was determined using single-population proportion formula with the following assumptions: 50 % of proportion of lactating mothers who have below mean diet diversity score, 95 % of confidence interval and 5 % marginal error. The final sample size was 384. Respondents who fulfilled the inclusion criteria were selected using systematic random sampling technique. The interview was started by selecting a random start using lottery method. Then every 2nd lactating woman visiting the public health facilities were interviewed. Eventually, a total of 346 lactating mothers were participated in this study.
Data collection
Data were collected by exit interview using structured and pre-tested questionnaire adapted from different literatures mainly Food and Agriculture Organization (FAO) Guidelines for measuring household and individual dietary diversity, 2011 [15] and Household food insecurity access scale (HFIAS) to measure food security [23]. The questionnaire had four main contents: socio-demographic characteristics; source of food, feeding practice and other individual related factors; dietary diversity, and food security related questions. The questionnaire was first prepared in English and then translated to Tigrigna and translated back to English to observe its consistency. Finally, the questionnaire was also pretested on 5 % of the total sample size in Suhul general hospital found in Shire Endaselassie town of North Western zone of Tigray Regional state. Necessary modifications were made on the questionnaire based on the findings of the pretest.
Dietary diversity score (DDS) was collected and calculated as the sum of the number of different food groups consumed by the mother in the 24 h prior to the assessment. A total of nine food groups were considered in this study (i.e. starchy staples, dark green leafy vegetables, other vitamin A rich fruits and vegetables, other fruits and vegetables, fats and oils, meat and fish, eggs, legumes, nuts and seeds and milk and milk products [28]. Finally, respondents with < 3.4 mean food groups consumed were considered as having lower dietary diversity whereas those with ≥3.4 mean food groups consumed were considered as having moderate or high dietary diversity.
Food insecurity access was measured using items from the HFIAS [23, 29–31]. The HFIAS consists of 9 items specific to an experience of food insecurity occurring within the previous 4 weeks. Each respondent indicated whether he/she had encountered the following due to lack of food or money to buy food in the previous 1 month: (1) worried about running out of food, (2) lack of preferred food, (3) the respondent or another adult had limited access to a variety of foods due to a lack of resources (4) forced to eat un preferred food due to lack of resources, (5) eating smaller portions, (6) skipping meals, (7) the household ran out of food, (8) going to sleep hungry, and (9) going 24 h without food. Finally, individuals were classified as food secure if the individuals responded ‘no’ to all of the items and insecure if the individuals responded ‘yes’ to at least one of the 9 items included on the HFIAS tool.
Two public health officers, who were fluent in the local language (Tigrigna), participated in the data collection process. The data collection process was supervised by two senior Public Health professionals and the principal investigators. Both data collectors and supervisors were trained for 1 day about the contents of the questionnaire and on how to collect the data properly in order to minimize errors. The principal investigators and supervisors had made daily supervision during the whole data collection process. The questionnaire was reviewed and checked for completeness, accuracy and consistency by the supervisors and investigators daily and at the end of the whole data collection process.
Operational definition
Diet diversity score
Is the sum of food groups eaten in the previous 24 h, serves as a proxy indicator of nutrient adequacy of an individual’s diet. Low dietary diversity (<3.4 mean food groups consumed) and moderate or high dietary diversity (≥3.4 mean food groups consumed). The diet was classified according to the 9 food groups recommended by the FAO [28].
Food security
Food insecurity access was measured using items from the HFIAS [23, 29–31]. The HFIAS consists of 9 items specific to an experience of food insecurity occurring within the previous 4 weeks. Each respondent indicated whether he/she had encountered the 9 items included in the HFIAS due to lack of food or money to buy food in the previous 1 month. Finally, individuals were classified as food secure if the individuals responded ‘no’ to all of the items and insecure if the individuals responded ‘yes’ to at least one of the 9 items included on the HFIAS tool.
Data analysis
After all the relevant data were collected, the data were coded on pre- arranged coding sheet by the investigators. Dietary intake was converted to 9 food groups to assess dietary diversity of the subjects. Data were entered, cleaned and then analyzed using SPSS version 20. Descriptive summaries using frequencies and proportions were used to present the study results. In this study, the dependent variable was dietary diversity coded 1 as lower dietary diversity and 0 as moderate or high dietary diversity. In the bivariate analysis, the independent variables with a P-value less than 0.2 with the dependent variable were fitted in to a multivariate logistic regression model to identify their independent effect on dietary diversity. Independent variables included in the multivariate analysis include educational status, occupation, residential address, monthly income, source of drinking water, availability of latrine, home gardening, history of illness, duration of menstruation (in days) and daily eating pattern in the previous 7 days. The association between the dependent and the independent variables was measured using odds ratio (OR) with 95 % Confidence Interval (C.I). Those variables with p-value of less than 0.05 in the multivariate analysis were considered as significant.
Results
Characteristics of respondents
Characteristics of lactating mothers (n = 346) visiting public health facilities in Aksum, Tigray, Northern Ethiopia, June 2015
Characteristics | Number (percent) |
|---|---|
Age | |
15–30 | 240 (69.4) |
31–40 | 86 (24.9) |
> 40 | 20 (5.8) |
Residential address | |
Urban | 280 (80.9) |
Rural | 66 (19.1) |
Religion | |
Orthodox | 306 (88.4) |
Muslim | 40 (11.6) |
Marital status | |
Single | 18 (5.2) |
Married | 299 (86) |
Divorced | 22 (6.4) |
Widowed | 7 (2) |
Educational status | |
No formal education | 57 (16.5) |
Elementary (1–8) | 130 (37.6) |
Secondary (9–12) | 113 (32.6) |
12+ | 46 (13.3) |
Occupational status | |
Unemployed | 66 (19.1) |
House wife | 162 (46.8) |
Daily laborer | 34 (9.8) |
Private businessa | 84 (24.3) |
Family size | |
1–3 | 25 (7.2) |
4–6 | 250 (72.3) |
> 6 | 71 (20.5) |
Source of drinking water | |
Tap water | 276 (79.8) |
Pumping water | 53 (15.3) |
Protected well | 17 (4.9) |
Latrine availability | |
Yes | 284 (82.1) |
No | 62 (17.9) |
Average monthly income | |
< 501 ETBb | 196 (56.6) |
501–1500 ETB | 99 (28.6) |
> 1500 ETB | 51(14.8) |
History of illness in the previous 2 weeks | |
Yes | 53 (15.3) |
No | 293 (86.7) |
Age at first menstruation (years) | |
< 13 | 12 (3.5) |
13–16 | 286 (82.7) |
> 16 | 48 (13.9) |
Duration of menstruation (days)c | |
< 4 | 49 (14.2) |
4–6 | 270 (78) |
> 6 | 27 (7.8) |
Source of food and feeding practices
Source of food and feeding practice among lactating mothers (n = 346) visiting public health facilities in Aksum, Tigray, Northern Ethiopia, June 2015
Characteristics | Number (percent) |
|---|---|
Main source of food for household (current) | |
Own production | 143 (41.3) |
Purchasing | 164 (47.4) |
Food aid/relief | 27 (7.8) |
Other source | 12 (3.5) |
Practicing home gardening | |
Yes | 41 (11.8) |
No | 305 (88.2) |
Daily eating pattern in the previous 7 days | |
Three meals &/or above | 136 (39.3) |
Two meals & eating between meals | 157 (45.4) |
Two meals only or below | 53 (15.3) |
Frequency of fruit consumption in the previous 24 h | |
Not consumed at all | 205 (59.2) |
1–2 times | 107 (30.9) |
Three times & above | 34 (9.8) |
Frequency of vegetable consumption in the previous 24 h | |
Not consumed at all | 183 (52.9) |
1–2 times | 115 (33.2) |
Three times & above | 48 (13.9) |
Alcohol use in the previous 7 days | |
Yes | 55 (15.9) |
No | 291 (84.1) |
Dietary diversity characteristics
Dietary diversity frequency of lactating mothers (n = 346) visiting public health facilities in Aksum, Tigray, Northern Ethiopia, June 2015
Food group consumption in previous 24 h | Number (percent) | |
|---|---|---|
Starchy staples | 344 (99.4) | |
Dark green leafy vegetables | 65 (18.8) | |
Other vitamin A rich fruits and vegetables | 85 (24.6) | |
Other fruits and vegetables | 145 (41.9) | |
Fats and oils | 123 (35.5) | |
Meat and fish | 59 (17.1) | |
Eggs | 63 (18.2) | |
Legumes, nuts and seeds | 239 (69.1) | |
Milk and milk products | 43 (12.4) | |
Women dietary diversity | Low | 195 (56.4) |
Moderate or high | 151 (43.6) | |
Food security characteristics
HFIAS items of lactating mothers (n = 346) visiting public health facilities in Aksum, Tigray, Northern Ethiopia, June 2015
HFIAS 9 items | Number (percent) | |
|---|---|---|
Worried about running out of food | 41 (11.8) | |
Lack of preferred food | 42 (12.1) | |
The respondent or another adult had limited access to a variety of foods due to a lack of resources | 38 (11.0) | |
Forced to eat un preferred food due to lack of resources | 25 (7.2) | |
Eating smaller portions | 32 (9.2) | |
Skipping meals | 21 (6.1) | |
The household ran out of food | 19 (5.5) | |
Going to sleep hungry | 11 (3.2) | |
Going 24 h without food | 4 (1.2) | |
Food security statusa | Food secure | 252 (72.8) |
Food insecure | 94 (27.2) | |
Factors associated with dietary diversity
Bivariate and multivariate associations of factors with dietary diversity among lactating mothers visiting public health facilities in Aksum, Tigray, Northern Ethiopia, June 2015
Characteristic | Dietary diversity | COR (95 % CI) | AOR (95 % CI)b | |
|---|---|---|---|---|
Low | Moderate or high | |||
n (%) | n (%) | |||
Educational status | ||||
No formal education | 27 (17.9) | 30 (15.4) | 1.2 (0.6–2.6) | 0.8 (0.3–2.1) |
Elementary (1–8) | 46 (30.5) | 84 (43.1) | 2 (1.01–3.9) | 1.4 (0.6–3.5) |
Secondary (9–12) | 54 (35.8) | 59 (30.3) | 1.2 (0.6–2.4) | 0.9 (0.4–2.1) |
12+ | 24 (15.9) | 22 (11.3) | 1 | 1 |
Occupation | ||||
Unemployed | 22 (14.6) | 44 (22.6) | 2.3 (1.2–4.5) | 2.2 (1.0–4.7) |
House wife | 71 (47) | 91 (46.7) | 1.5 (0.9–2.5) | 1.0 (0.5–2.2) |
Daily laborer | 13 (8.6) | 21 (10.8) | 1.9 (0.8–4.2) | 1.0 (0.3–2.9) |
Private business | 45 (29.8) | 39 (20) | 1 | 1 |
Residential address | ||||
Urban | 126 (83.4) | 154 (79) | 1 | 1 |
Rural | 25 (16.6) | 41 (21) | 1.3 (0.8–2.3) | 0.9 (0.4–1.8) |
Average monthly income | ||||
≤ 500 ETB | 81 (53.6) | 115 (59) | 2.6 (1.4–4.9) | 2.3 (1.2–4.6)a |
501–1500 ETB | 37 (24.5) | 62 (31.8) | 3.1 (1.5–6.2) | 3.0 (1.4–6.3)a |
> 1500 ETB | 33 (21.9) | 18 (9.2) | 1 | 1 |
Source of drinking water | ||||
Tap water | 129 (85.4) | 147 (75.4) | 1 | 1 |
Pumping water | 19 (12.6) | 34 (17.4) | 1.6 (0.9–2.9) | 1.7 (0.7–4.0) |
Protected well | 3 (2) | 14 (7.2) | 4.1 (1.2–14.6) | 4.5 (1.1–18.2)a |
Availability of latrine | ||||
Yes | 128 (84.8) | 156 (80) | 1 | 1 |
No | 23 (15.2) | 39 (20) | 1.4 (0.8–2.5) | 1.5 (0.8–2.7) |
History of illness in the previous 2 weeks | ||||
Yes | 26 (17.2) | 27 (13.8) | 0.8 (0.4–1.4) | 0.8 (0.4–1.5) |
No | 125 (82.8) | 168 (86.2) | 1 | 1 |
Duration of menstruation (days) | ||||
< 4 | 25 (16.6) | 24 (12.3) | 1 | 1 |
4–6 | 118 (78.1) | 152 (77.9) | 1.3 (0.7–2.5) | 1.2 (0.6–2.4) |
> 6 | 8 (5.3) | 19 (9.7) | 2.4 (0.9–6.7) | 2.4 (0.8–6.9) |
Practicing home gardening | ||||
Yes | 23 (15.2) | 18 (9.2) | 1 | 1 |
No | 128 (84.8) | 177 (90.8) | 1.8 (0.9–3.4) | 2.1 (1.01–4.2)a |
Daily eating pattern in the previous 7 days | ||||
Three meals and/or above | 68 (45) | 68 (34.9) | 1 | 1 |
Two meals & eating between meals | 65 (43) | 92 (47.2) | 1.4 (0.9–2.3) | 1.3 (0.8–2.1) |
Two meals only or below | 18 (11.9) | 35 (17.9) | 1.9 (1.01–3.8) | 1.8 (0.9–3.7) |
Lactating mothers who had monthly income less than 501 ETB and 501 to 1500 ETB were 2.3 and 3.0 times more likely to have low dietary diversity than those who had monthly income above 1500 ETB respectively [[AOR = 2.3, 95 % CI (1.2–4.6)] and [AOR = 3.0, 95 % CI (1.4–6.3)] respectively]. Among the lactating mothers, those who did not practice home gardening were 2.1 times more likely to have low dietary diversity than those who practice home gardening [AOR = 2.1, 95 % CI (1.01, 4.2)]. Regarding source of drinking water, lactating mothers who reported protected well as a main source were 4.5 times more likely to have low dietary diversity than those who reported tap water as main source [AOR = 4.5, 95 % CI (1.1, 18.2)].
Discussion
The study has assessed the dietary diversity among lactating mothers visiting public health facilities in Aksum town, Tigray region, Ethiopia. The mean DDS among the lactating women was 3.4 and 56 % (95 % CI: 50.6, 61.6) of the women had DDS < 3.4. This finding is lower than the finding of study conducted in three countries; Vietnam, Bangladesh, and Ethiopia, by Nguyen et al [26], in which dietary diversity was low in nearly three fourths of lactating mothers in Ethiopia. This might be explained by the difference in study period which can results in food security status change. In the previous study, more than two thirds of the study participants were food insecure. While in the present study, nearly a quarter was food insecure. There is also similar difference in educational status between study participants of both studies which could be another explanation for the observed discrepancy. Conversely, the finding of the present study is far higher than the prevalence of low dietary diversity among lactating mothers in the study from Vietnam, Bangladesh and Ethiopia [26]. This might be due to the difference in education, feeding culture and food security.
In this study, around 99.4 and 69.1 % of the lactating mothers had consumed starchy staples, and legumes, nuts and seeds respectively in the previous 24 h. Conversely, milk and milk products food group, and meat and fish food group were least consumed groups (12.4 and 17.1 % respectively). This finding is almost consistent with the finding of other similar study conducted in Vietnam, Bangladesh and Ethiopia by Nguyen et al [26] and in Kenya by Ongosi et al [36].
Lactating mothers visiting public health facilities with a monthly income of 501–1500 ETB and <501 ETB were 3 and 2.3 times more likely to have low dietary diversity respectively, when compared to mothers who earned >1500 ETB per month. This study is in agreement with the study conducted in Bangladesh by Thorne-Lyman et al [32]. It has demonstrated that dietary diversity was significantly associated with the wealth status of the study participants; as the wealth index increased the likelihood of consuming diversified food have been observed to increase. A study in low and middle income countries also indicated that higher socio-economic status was associated with higher diet diversity score [33]. This could be due to the fact that low income earners recognized to be negatively affected on their preference of quality and quantity of diversified food groups consumed in their feeding arrangements attributable to income.
Home gardening practice of the study participants was found to be predictor of dietary diversity in this study. Lactating mothers who did not practice home gardening showed more than two folds higher likelihood of consuming low diversified diets when compared to mothers who practice home gardening. This study agreed with studies conducted in Philippines by Cabalda et al [34] and in Ethiopia by Tesema et al [35]. These studies have demonstrated that home gardening was strongly associated with diet diversity and with frequency of vegetable consumption. This might be due to the reason that households with gardens were beneficiary from gardens they own as a means to diversifying their daily food. It was also indicated that parents with home gardening would grow vegetables and get additional diet options that enhance the diversity of the household’s food sources [35].
Furthermore, source of drinking water was found to be a determinant predictor of dietary diversity. Lactating mothers who reported protected well as a main source of drinking water were more likely to have low dietary diversity than those who reported tap water as main source. This might be partly explained by the difference in socioeconomic status as shown in a study conducted in three countries; Vietnam, Bangladesh, and Ethiopia, by Nguyen et al [26], in which household socioeconomic status (SES) was found to be positively associated with maternal dietary diversity.
Nevertheless of its marginality in the multivariate model, occupation of the study subjects has been associated with dietary diversity in the current study; lactating mothers who were unemployed during the study period had two folds higher likelihood of consuming poorly diversified food items when compared to those who owned private business. The possible explanation for this could be the purchasing power of lactating mothers is dictated by the presence and absence of occupation that they rely on as a source of income.
Even if the proportion of food insecurity among the lactating mothers in this study was 27.2 %, it did not associate with dietary diversity. A study done in rural Cambodia and a study done in Rural Populations of Kilosa District, Tanzania indicated that there is no association between food security and dietary diversity [36, 37]. However, a study done in older Taiwanese has indicated that there is significant association between food security and dietary diversity [38]. The difference in association of food security and dietary diversity among the study populations may be related with difference in educational level and socio economic status.
This study has some limitations. Although efforts were made to ensure representativeness of eligible women in the study area, no attempt was made to address seasonal variation which can affect food availability that can in turn influence dietary intake and diversity. Moreover, there is difficulty to measure food compositions and dishes due to diverse cultures and different ways of traditional food preparations. For example, injera (local name) is a food mostly consumed by the study participants. Injera can be prepared by composing different cereals which is differently composed in each household based on their economic ability to buy the different cereals.
Conclusions
The previous 24 h recall dietary diversity assessment indicated that mean DDS among the lactating mothers was 3.4. Among the lactating mothers, 56.4 % had DDS less than 3.4. Factors like average monthly income less than 501 ETB and from 501 to 1500 ETB, not practicing home gardening, and protected well as main source of drinking water were strongly associated with low dietary diversity. Hence, additional programs and interventions should be designed and implemented conjointly with other health care services delivered in health facilities to address low dietary diversity among lactating mothers. Apart from this, nutritional education is essential in order to aware mothers on the importance of diversified diet consumption.
Abbreviations
AOR, adjusted odds ratio; CEO, Chief Executive Officer; CI, confidence interval; COR, crude odds ratio; DDS, Dietary Diversity Score; ETB, Ethiopian birr; FAO, Food and Agriculture Organization; HFIAS, Household Food Insecurity Access Scale; IRB, Institutional Review Board; OR, odds ratio; SES, socioeconomic status; UNICEF, United Nations Children’s Fund
Declarations
Acknowledgements
Aksum University Health Science College is acknowledged for supporting the study. We are also grateful for the hospital and health center administrations and the study participants for providing us the necessary information.
Funding
Aksum University Health Science College is funder of the study.
Availability of data and materials
All the required data supporting the findings are contained within the manuscript.
Authors’ contribution
NB: conception, design, field study, data collection, analysis, interpretation, and writing of the manuscript. KH, MG, BH and YS: data analysis, interpretation and manuscript preparation. SW, HA, HG and WA: design, field study, data collection and analysis. All the authors read and approved the final manuscript to be submitted for publication.
Competing interests
The authors declare that they have no competing interests.
Consent for publication
Not applicable.
Ethics approval and consent to participate
Ethical clearance was obtained from Institutional Review Board (IRB) of Aksum University College of Health Sciences. Official letter written by the college IRB was submitted to Aksum health bureau and each selected health facilities with brief explanation about the purpose of the study. After getting permission from the Chief Executive Officer (CEO) and Medical Director of the facilities, verbal consent was secured from study participants to conduct the study before the interview. Anyone who was not willing to take part in the study was informed to do so. All information provided was kept confidential.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Authors’ Affiliations
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