Response to Reviewers
PONE-D-20-24200
Title: Geographical variation and factors associated with unsafe child stool disposal
in Ethiopia: A spatial and multilevel analysis
Authors response to editor comment
Dear Editor,
It is a prestigious opportunity for us to have constructive comments for the improvement
of the current manuscript. We thank you for this opportunity and we are happy to submit
a revised version of the manuscript that addresses the points raised by our respected
reviewers. Respected editor, we also carefully considered and taken all your while
we revise our manuscript. Please follow the point-by-point response to the editor
comments which is listed below. Following your suggestion, we include a rebuttal
letter that responds to each point raised by the editor and reviewers’ comment and
we upload this letter as a separate file labeled 'Response to Reviewers'. We also
upload a marked-up copy of our manuscript that highlights changes made to the original
version as a separate file labeled 'Revised Manuscript with Track Changes'. Finally,
we upload an unmarked version of our revised paper without tracked changes as a separate
file labeled 'Manuscript'.
Editor comment and response
Comment 1
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Response 1
Thank you, our respected editor. As per your wise advice we revised the manuscript
according to PLOS ONE's journal style requirements. Please see the revised manuscript.
Comment 2
2. We suggest you thoroughly copyedit your manuscript for language usage, spelling,
and grammar. If you do not know anyone who can help you do this, you may wish to consider
employing a professional scientific editing service.
Whilst you may use any professional scientific editing service of your choice, PLOS
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Response 2
Thank you, our respected editor. As per your wise advice we copyedit our manuscript
by our colleague assistant professor Bruce John Edward Quisido a lecturer at Madda
Walabu University Goba Referral hospital, in the Department of Nursing. All the affected
revisions and corrections were highlighted with text highlighter color and uploaded
as “Revised Manuscript with Track Changes”. Thank you.
Comment 3
3. We noticed you have some minor occurrence of overlapping text with the following
previous publication(s), which needs to be addressed:
https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-016-3948-2
https://www.researchsquare.com/article/rs-3713/v2
https://www.mdpi.com/1660-4601/17/9/3084/htm
https://www.researchsquare.com/article/rs-637/v1
In your revision ensure you cite all your sources (including your own works), and
quote or rephrase any duplicated text outside the methods section. Further consideration
is dependent on these concerns being addressed.
Response 3:
Thank you, our respected editor. This is always a learning opportunity for us, following
your wise advice we carefully revised our manuscript to remove overlapping texts from
previous publications, we rephrase and cite all sources in the revised manuscript.
All the affected revisions and corrections were highlighted with text highlighter
color and uploaded as “Revised Manuscript with Track Changes”. Thank you.
Comment 4:
4. We note that you have indicated that data from this study are available upon request.
PLOS only allows data to be available upon request if there are legal or ethical restrictions
on sharing data publicly. For information on unacceptable data access restrictions,
please see http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions.
In your revised cover letter, please address the following prompts:
a) If there are ethical or legal restrictions on sharing a de-identified data set,
please explain them in detail (e.g., data contain potentially identifying or sensitive
patient information) and who has imposed them (e.g., an ethics committee). Please
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a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories.
We will update your Data Availability statement on your behalf to reflect the information
you provide.
Response 4:
Thank you, our respected editor for your assistant and support. In short, the present
study used data from the Ethiopian Demographic and Health Survey (EDHS) which is available
from the DHS program website after the study aim and objective were communicated.
According to DHS dataset terms of use do not permit us to distribute this data as
per data access instruction “The data must not be passed on to other researchers without
the written consent of DHS.” For this reason, we include the following information
under “Data Availability” statement. “As Ethiopian demographic and health survey is
part of demographic and health survey (DHS), it is publicly available data. The data
we used which is the ‘2016 Ethiopian Demographic and Health Survey’ were obtained
from the DHS program (www.dhsprogram.com), but the ‘Dataset Terms of Use’ do not permit us to distribute this data as per
data access instructions (http://dhsprogram.com/data/Access-Instructions.cfm). Any researcher can access data after becoming an Authorized user. To get access
for the dataset researchers must first be a registered user of the website (www.dhsprogram.com), and access permission has been provided, users may download the 2016 Ethiopian
Demographic and Health Survey. In addition, the shape file of the map was freely available
from https://africaopendata.org/dataset/ethiopia-shapefiles.” Please see the revised manuscript. Thank you.
Comment 5
5. Your ethics statement should only appear in the Methods section of your manuscript.
If your ethics statement is written in any section besides the Methods, please move
it to the Methods section and delete it from any other section. Please ensure that
your ethics statement is included in your manuscript, as the ethics statement entered
into the online submission form will not be published alongside your manuscript.
Response 5:
Thank you for your comment. As per your wise advice we moved the ethics statement
in to the Method and Material section of the revised manuscript. Please see the revised
manuscript.
Comment 6:
6. We note that Figures 1, 2, 3 in your submission contain map images which may be
copyrighted. All PLOS content is published under the Creative Commons Attribution
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Natural Earth (public domain): http://www.naturalearthdata.com/
Response 6:
Thank you, our respected editor, for your comment and wise advice. The figures (Fig
1, 2, and 3) included in the present are not copyrighted or previously copyrighted
maps or satellite images. Yet all Figures included in this study were our study finding/results
showing the spatial distribution of unsafe child stool disposal in Ethiopia and any
third party is permitted to access, download, copy, and distribute (CC BY 4.0). In
brief, the dataset we used to analyzed spatial data was obtained from the publicly
available DHS program (www.dhsprogram.com) website, after the study objective was communicated and it can be published under
the Creative Commons Attribution License (CC BY 4.0). In DHS surveys that collect
GIS coordinates in the field, the coordinates are only for the enumeration area (EA)
as a whole, and not for individual households, and the measured coordinates are randomly
displaced within a large geographic area so that specific numeration areas cannot
be identified. There are no names of individuals or household addresses in the data
files. The geographic identifiers only go down to the regional level (where regions
are typically very large geographical areas encompassing several states/provinces).
Each enumeration area (Primary Sampling Unit) has a PSU number in the data file, but
the PSU numbers do not have any labels to indicate their names or locations. The GPS
reading was collected at the center of each cluster. For the purpose of insuring respondents’
confidentiality, GPS latitude/ longitude positions for all surveys were randomly displaced
before public release and we used such dataset.(For your information, we attached
the approval letter we obtained from DHS in supporting file). In addition, the shape
files we used in this study was also obtained from publicly available Africa open
data website https://africaopendata.org/dataset/ethiopia-shapefiles. Additionally, we mentioned the sources of dataset in each figure legends and in
data availability statement. Please see revised manuscript.
Response to reviewer’s comment
For reviewer #1
Dear respected reviewer 1
Thank you for this learning opportunity. We are so happy to have your advice, comments
and suggestion. We are also so glad to see our paper improved because of your comments
and wise advice. Please follow a point-by-point response to the reviewer’s comment
below. We used a “Text Highlight Yellow Color” for all affected revisions and corrections
in the “'Revised Manuscript with Track Changes” File. If there are any comments that
need corrections, we are so happy to learn from you. With all respect, thank you.
Reviewer #1: Geographical variation and factors associated with unsafe child stool
disposal in Ethiopia: A spatial and multilevel analysis.
Very well written manuscript. This is really a very important and timely work as in
the LMICs still struggling with open defection and child feces disposal. Very few
works done in this area and I really appreciate authors for this work. I really like
the way presented the findings as well as noticed the limitation of the study. However,
few minor comments might improve the manuscript.
Response:
Thank you, Sir for this opportunity.
Comment 1
1. Author didn’t mention the name of the institution where received Institutional
Review Board approval.
Response 1
Thank you for your comment. We included this in Ethical approval statement in the
revised manuscript in the following manner “The analysis displayed in the paper is
based on the Ethiopian Demographic Health Survey-2016 which is a publicly available
dataset with no identifiable information on the study members. The IRB-approved procedures
for DHS public-use datasets do not in any way allow respondents, households, or sample
communities to be identified. There are no names of individuals or household addresses
in the data files. The geographic identifiers only go down to the regional level (where
regions are typically very large geographical areas encompassing several states/provinces).
Each EA (primary sampling unit) has a number in the data file, but their numbers do
not have any labels to indicate their names or locations. The detail of the ethical
issues has been published in the 2016 EDHS final report [10]. All the ethical concerns,
including informed consent, are entirely followed in the EDHS-2016. Given these, no
ethical approval or informed consent was required for the current study.” Dear reviewer
1, we also attached the approval letter from DHS (please see supplementary file) for
your consideration. With all respect, thank you.
Comment 2
2. Vast majority of the mother 60.3% had no formal education, so it would be great
to include whether any association of unsafe child feces disposal practices with mother’s
education.
Response 2:
Thank you for your wise advice. In Table 3 multilevel binary logistic regression analysis
mother’s educational level associated with unsafe child stool disposal (p<0.05). The
unadjusted crude odds ratio suggested that unsafe disposal of children’s stools was
lower among educated mother than mothers with no education. However, as shown in
Table 6 multilevel multivariable logistic regression analysis (model that include
Individual- and community-level variables) mother’s educational level does not show
any association with unsafe child stool disposal. Please see the table below. We also
showed in the revised manuscript file. Thank you.
(Please observe the attached "Response to Reviewers" word doc for all TABLES)
Comment 3
3. Having the toilet facilities is important to promote safe disposal, however if
any household don’t have latrine how you considered in this analysis?
Response 3:
Thank you, our respected reviewer for your comment. Absolutely true “Having the toilet
facilities is important to promote safe disposal”. In EDHS-2016 household sanitation
facilities were categorized as
Improved facility
1. Flush/pour flush to piped sewer system
2. Flush/pour flush to septic tank
3. Flush/pour flush to pit latrine
4. Ventilated improved pit (VIP) latrine
5. Pit latrine with slab
6. Composting toilet
Unimproved facility
1. Flush/pour flush not to sewer/septic tank/pit latrine
2. Pit latrine without slab/open pit
3. Hanging toilet/hanging latrine
4. Open defecation (no facility/bush/field)
We follow similar procedure while categorizing sanitation facility (i.e., improved
and unimproved facility). In our analysis, any household that doesn’t have latrine
or those practice open defecation were categorized under unimproved sanitation facility.
To clarify this thing, we include the following statement in footnote of Table 2.
“Facilities that would be considered improved if any of the following types: flush/pour
flush toilets to piped sewer systems, septic tanks, and pit latrines; ventilated improved
pit (VIP) latrines; pit latrines with slabs; and composting toilets. Other facilities
including households with no facility or use bush/field were considered unimproved.”
Please see the revised manuscript.
Our respected reviewer 1
Thank you for this is prestigious learning opportunity. With all respect.
Response to reviewer’s comment
For reviewer # 2
Dear respected reviewer 2
We are so happy to have your advice, comments and suggestion and we learn from your
comments. Thank you for this opportunity. Please follow a point-by-point response
to the reviewer’s comment below. We used a “Text Highlight Yellow Color” for all
affected revisions and corrections in the “'Revised Manuscript with Track Changes”
File. If there are any comments that need corrections, we are so happy to learn from
you. With all respect, thank you.
Reviewer #2: Sahiledengle and colleagues mapped the distribution and described the
risk of unsafe disposal of child stool in Ethiopia. Here, the study importance, objectives,
and methods are clearly stated.
Comment 1
Minor comments:
1) What would happen if you use a continuous age variable rather than an age group
in the model? What are the basis for participants’ age categorization?
Response 1:
Thank you, our respected reviewer. The choice of age variable categorization was guided
by the previous works of literature (few examples are listed below) and we are not
treating age as continues variable in the model in order to make similar comparison
with related studies.
1. Sahiledengle B. Prevalence and associated factors of safe and improved infant and
young children stool disposal in Ethiopia: evidence from demographic and health survey.
BMC Public Health. 2019;19(1):970. https://doi.org/10.1186/s12889-019-7325-9
2. Bawankule R, Singh A, Kumar K, Pedgaonkar S. Disposal of children’s stools and
its association with childhood diarrhea in India. BMC Public Health. 2017:17(12).
https://doi.org/10.1186/s12889-016-3948-2
3. Nkoka O. Correlates of appropriate disposal of children’s stools in Malawi: a multilevel
analysis. BMC Public Health. 2020;20:604. https://doi.org/10.1186/s12889-020-08725-2
4. We also checked how the EDHS-2016 age of child was categorized
In the previous works of literature, for instance a study from Malawi revealed that
women whose children were aged 6–11 months (AOR: 3.06; 95% CI: 2.52–3.72), 12– 17
months (AOR: 6.81; 95% CI: 5.39–8.60), and 18–23 months (AOR: 6.58; 95% CI: 5.18–8.35)
were more likely to dispose of their children’s stools compared with those whose children
were aged < 6 months. Different studies, identified that unsafe child feces disposal
is more prevalent among households those with younger children. In many cases, the
reference category was children aged ≤ 2 years old. In recent DHS data including the
Ethiopian DHS-2016 child stool disposal was collected for the youngest child under
age 2 living with the mother. As children have similar characteristic with respect
to child stool disposal we categorized age of the children in the following manner
(< 6 month, 6-11 month, 12-17 month, and 18-23 months). The following assumptions
were also used as a base while we categorizing age
• Children aged less than 6 months dependent on mothers and they used Dipper in many
case; and it is difficult for them either to use potty or toilet- because of their
age and stage of physical development. For this reason, unsafe child stool disposal
is more prevalence at this stage.
• Between 6 months to 11 months of age, babies grow and develop at an astounding rate.
They may learn how to use potty. At this stage many start componentry feeding and
their stool become odors and the potty training started by mothers/caregivers in Ethiopia.
• 12-17 months: babies grow quickly they roll over, sit up, pick objects up, crawl,
and some may even start use of potty by themselves. In many cases, use of potty/toilet
training was well established.
• 18-23 months: at this stage and above years children are increasingly likely to
use a toilet or latrine (if that is safe for child) /or potty themselves. Even at
this stage they identify stool as waste.
Comment 2
2) Include or explain in the supplementary or elsewhere the basis of categorizing
the independent variables (e.g., wealth index, community poverty, etc.) to understand
how you define the cut off and make sense to some of the nominal and dichotomous variables.
Response 2:
Thank you, our respected reviewer. We are so glad to have your comments for the improvement
of our manuscript. As per your wise advice we include a supplementary file that explain
the basis of categorizing the independent variables. Please see supplementary File
1.
Comment 3:
3) Table 4 is not informative.
Response 3:
Thank you, our respected reviewer. We revised Table 4 in order to make it more informative.
We removed the lists of enumeration areas(clusters) detected for high unsafe child
stool disposal in Ethiopia and supply a supplementary file that include the enumeration
areas(clusters) detected for high unsafe child stool disposal with their coordinates
for anyone who interested to see. Please see the revised manuscript table 4 and supplementary
file 1.
Comment 4:
4) I wonder if you could include or overlap data on the spatial prevalence of diarrhoea
with spatial distribution of stool disposal. Their association is a strong basis for
public health policy.
Response 4:
Thank you, our respected reviewer for your suggestion. In fact, there is a recent
study that showed the spatial distribution of diarrhea in Ethiopia for three EDHS
(2005-2016).
1. Bogale, G.G., Gelaye, K.A., Degefie, D.T. et al. Spatial patterns of childhood
diarrhea in Ethiopia: data from Ethiopian demographic and health surveys (2000, 2005,
and 2011). BMC Infect Dis 17, 426 (2017). https://doi.org/10.1186/s12879-017-2504-8
As per your suggestion, we try to show the spatial prevalence of diarrhea with spatial
distribution of stool disposal. Since, the coordinates for both diarrhea and unsafe
child stool disposal are similar, we end up with overlapped map image that does not
clearly show the spatial distribution for diarrhea and unsafe child stool disposal
in clear manner. For this reason, we construct two images that show the spatial distribution
of diarrhea and unsafe child stool disposal in Ethiopia in order to help the read
to identify significant hot spot areas. Accordingly, we included the following information
in the result section, “In Fig 4, the exploratory visualization of the spatial distribution
diarrhea and unsafe child stool disposal were indicated. The highest proportions
of diarrhea were observed in SNNPR region (Southern Ethiopia), while the highest hotspot
areas of unsafe child stool disposal were detected in Tigray region (Northern Ethiopia).”
Please see the revised manuscript result section and Figure 4. Thank you.
Our respected reviewer 2
Thank you for this is prestigious learning opportunity. With all respect.
Response to reviewer’s comment
For reviewer #3
Dear respected reviewer 3
Our respected reviewer 3, thank you for this learning opportunity. We are so happy
to have your advice, comments, corrections and suggestion. We are also so glad to
see our paper improved because of your comment and wise advice. We learn several things
from your comment and it help us to work hard in future. Dear reviewer 3, please follow
a point-by-point response to the reviewer’s comment below. We used a “Text Highlight
Yellow Color” for all affected revisions and corrections in the “'Revised Manuscript
with Track Changes” File. If there are any comments that needs our correction, we
are so happy to learn from you. With all respect, thank you.
Reviewer #3: This is a very important and interesting research. The introduction is
sound and well structured. The rationale and objectives of the study are clearly spelt
out. The methodology section is well written but needs improvement. Authors need to
consider the introduction of new subsections, and provide more clarity on the categorization
of variables. The data management and analysis plan was described appropriately. The
data analysis section is robust, and the authors have done a very great job at pulling
all the data together. However, there are issues with results presentation and description
within text for a particular table. In addition, concerns on why the authors decided
to pull the administrative regions together under agarian, pastoralist and city categories
before the multivariate logistic analysis needs to be rechecked. The discussion is
sound and well written. More specific comments have been raised in the additional
file attached and authors should consider working on them.
Manuscript Title:
Geographical variation and factors associated with unsafe child stool disposal in
Ethiopia: A spatial and multilevel analysis
Reviewer’s decision
The manuscript is of high quality considering the amount of work-done and analysis
made. It is also well written. However, some minor corrections needs to be made prior
and returned for another round of review before consideration for publication.
Summary of Reviewer’s comment:
This is a very important and interesting research. The introduction is sound and well
structured. The rationale and objectives of the study are clearly spelt out. The methodology
section is well written but needs improvement. Authors need to consider the introduction
of new subsections, and provide more clarity on the categorization of variables. The
data management and analysis plan was described appropriately. The data analysis
section is robust, and the authors have done a very great job at pulling all the data
together. However, there are issues with results presentation and description within
text for a particular table. In addition, concerns on why the authors decided to pull
the administrative regions together under agarian, pastoralist and city categories
before the multivariate logistic analysis needs to be rechecked. The discussion is
sound and well written. More specific comments have been raised in the additional
file attached and authors should consider working on them.
Response:
Thank you, our respected reviewer for your comment. We closely look all your concerns
and comments and we addressed each point-by-point line by line in the revised manuscript.
Please follow point by point response. With all respect.
Comment 1
Reviewer’s Comment
TOPIC:
The title of this manuscript is appropriate and concise,
Response 1:
Thank you for this encouraging words.
Comment 2:
INTRODUCTION
Line 48: recast as..”….open fields, garbages, drainages and burying in soils are considered
unsafe as it exposes vulnerable children who interact with such to many fecal-oral
diseases.
Response 2:
Thank you, our respected reviewer for your helpful comment. As per your wise advice
we correct the first line of the introduction section accordingly. Please see the
revised manuscript introduction section.
Comment 3:
Line 50: child stool disposal is..
Response 3:
Thank you, our respected reviewer for your comment. As per your wise advice we correct
accordingly. Please see the revised manuscript section.
Comment 4:
Line 54: Recast as “Futhermore, there are established evidences on the effect …….
Response 4:
Thank you, our respected reviewer for your comment. As per your wise advice we recast
the stated sentence accordingly. Please see the revised manuscript section.
Comment 5:
Line 58: Replace “with available” with “according to”
Response 5:
Thank you, our respected reviewer for your comment. As per your wise advice we the
replace “with available” with “according to”. Please see the revised manuscript section.
Comment 6:
Line 58: It is not uncommon that major contributors….
Response 6:
Thank you, our respected reviewer for your comment. We revised the whole sentence
following your wise advice. Please see the revised manuscript section.
Comment 7:
Line 61-62: Move this to Line 58 after the reference [2]
Response 7:
Thank you, our respected reviewer for your suggestion. We follow your advice and we
revised the introduction section accordingly and we put line 58 immediately after
reference number 2. It readd as “In Ethiopia, hygienic child stool management could
be a tremendous challenge and putting the nation among the most noticeably awful third
of 38 African nations for the percentage of children whose feces are safely disposed
of according to the Multiple Indicator Cluster Survey (MICS) [2]. According to a later
pooled information from the Ethiopian DHS (2000-2016), 77 percent of children’s feces
disposed of unsafely [10].” Thank you. Please see the revised manuscript section.
Comment 8:
Line 63: previous studies has identified…
Response 8:
Thank you, our respected reviewer for your comment. Comment accepted and we correct
accordingly. Please see the revised manuscript section.
Comment 9:
Line 69-70: Are the authors trying to discuss the findings of the research ahead of
time. If yes, please expunge.
Response 9:
Thank you, our respected reviewer for your comment. We apologized for this mistake.
As per your wise advice we removed the stated sentence from the introduction section.
Please see the revised manuscript section.
Materials and Methods
Comment 10:
Authors should restructure their methods section. It is expected that, the authors
would provide a as a starting line, a brief summary of the study location in this
case, Ethiopia i.e the districts, populations, health system, language, etc. Then
an additional sub-section on study design should be developed. This is where the authors
would explain the type of design employed, as it appears a secondary analysis was
done.
Authors can then follow up with another section of data source and extraction, where
they will provide very explicit details on how data were sourced, and explain in great
details the EDHS
Response 10:
Thank you for your comment. As per your wise advice we followed the suggested outline.
We provide a brief summary of the study area, then we describe the study design, and
finally we provide explicit details on data source and sampling issues of the EDHS.
Please see the revised manuscript materials and methods section. Thank you.
Comment 11:
The sections on study variables is fine.
Response 11:
Thank you, our respected reviewer.
Comment 12:
Line 114: rephrase as “was guided by already existing literatures.
Response 12:
Thank you, our respected reviewer for your comment. We corrected and rephrase accordingly.
Please see the revised manuscript.
Comment 13:
Line 119: replace recorded with “categorized”
Response 13:
Thank you, our respected reviewer for your comment. We corrected accordingly. Please
see the revised manuscript.
Comment 14:
Line 120: replace combined to form the with “categorized as”
Response 14:
Thank you, our respected reviewer for your comment. We corrected accordingly. Please
see the revised manuscript.
Comment 15:
Line 121: Replace combined as the with “categorized as”
Response 15:
Thank you, our respected reviewer for your comment. We corrected accordingly. Please
see the revised manuscript.
Comment 16:
Line 122-123 (Table 1): Can authors please provide descriptive text on what metrics
they used in estimating community poverty as low or high. It appears they used wealth
index that has been described on this same table. How did they go about the grouping?
Response 16:
Thank you, our respected reviewer for your comment. As per your wise advice we briefly
describe how the community poverty level was constructed in the independent variable
section as well as in supplementary file 1. In brief, community poverty level was
generated by aggregating the individual characteristics in a cluster since EDHS did
not collect data that can directly describe the characteristics of the clusters except
the place of residence. The aggregate community poverty level was constructed by aggregating
individual level characteristics at the community (cluster) level. Accordingly, community
poverty level was an aggregate wealth index categorized as high or low, which is the
proportion of women in the poorest and poorer quintile derived from data on wealth
index which is categorized as low and high poverty community. Since the aggregate
community poverty level value is not normally distributed, it was categorized into
high and low groups based on the median value. Community poverty level was categorized
as high if the proportion of women from the two lowest wealth quintiles in a given
community was higher than the median value and low if the proportion was less than
and equal to median value. Please see the revised manuscript independent variable
section as well as in supplementary file 1. Thank you.
Comment 17:
Table 1: Authors should provide more descriptive text on how the wealth index was
estimated from the source survey. They should provide very clear notes that would
guide the readers. Same thing applied to source of drinking water. How did they arrive
at the category of improved and unimproved?.
Response 17:
Thank you, our respected reviewer, for this constructive comment. Following your wise
suggestion, we provide a descriptive text on how the wealth index was estimated including
source of drinking water was categorized in the foot not in Table 1. Please see the
revised manuscript table 1 foot note as well as supplementary file 1 . Thank you.
Comment 18:
Table 1: Can authors expunge the “categorized into that reflects on all the cell in
the category column. I t would be more appropriate to just have the categories listed
e.g (1) male (2) female.
Response 18:
Thank you, our respected reviewer, for this helpful comment. Following your wise suggestion
we correct Table 1 accordingly. Please see the revised manuscript table 1. Thank you.
Comment 19:
Line 125: should start with “Secondary data obtained were imported(?) and analyzed
in…….
Response 19:
Thank you, our respected reviewer, for this helpful comment. We rephrase the data
management and analysis section according to your wise advice. Please see the revised
manuscript. Thank you.
Comment 20:
Line 127-128: …weighting procedure has been sufficiently described in EDHS methodology
[10].
Response 20:
Thank you for your comment, we correct accordingly. Please see the revised manuscript.
Comment 21:
Line 129-131: Please recast as follow”………….children within a cluster are more similar………clusters.
As such, a multilevel model is……..because it allows analysis based on hierarchical
structure of variables”.
Response 21:
Thank you for your comment, as per your wise advice we correct accordingly. Please
see the revised manuscript.
Comment 22:
Line 145: Remove “ STATA……analyses”.
Response 22:
Thank you for your comment, we correct accordingly. Please see the revised manuscript.
RESULTS
Comment 23:
Table 2; Can authors explain and address why some of the demographic variables do
no amount to 4145. If there are no response or missing data, they should be described
so the readers can have a better understanding
Response 23
Thank you , our respected reviewer for comment. If fact all variables add to 4145.
The main reason we see in total count less than 4145 in variables [Sex of the child
(n=4144); Mother’s age (4143)] was because of sampling weight and some missing values.
Following your wise advice, we include an asterisk indicates the reason why the total
count less than 4145. Hear is unexampled for variable sex of the child.
Please see the attached "Response to Reviewers" word doc for all TABLES.
Comment 24:
Table 2: Under mothers working status, can authors find a more befitting category
rather than the Not working and working used
Response 24:
Thank you. As per your wise advice we revised mother working status into “mother’s
employment status” as per the DHS tool in the revised manuscript. Please see the revised
manuscript and supplementary file 1 for detail description.
Comment 25:
Table 2: Still very much bothered about the community poverty level here. It appears
vague
Response 25:
Thank you, our respected reviewer for your constructive comment. As per your wise
advice we clarify community poverty level in the independent variable section and
supplementary file 1. In brief, community -level variables, such as community poverty
level was generated by aggregating the individual characteristics in a cluster since
EDHS did not collect data that can directly describe the characteristics of the clusters
except the place of residence. The aggregate community poverty level was constructed
by aggregating individual level characteristics at the community (cluster) level.
Accordingly, community poverty level was an aggregate wealth index categorized as
high or low, which is the proportion of women in the poorest and poorer quintile derived
from data on wealth index which is categorized as low and high poverty community.
Since the aggregate community poverty level value is not normally distributed, it
was categorized into high and low groups based on the median value. Community poverty
level was categorized as high if the proportion of women from the two lowest wealth
quintiles in a given community was higher than the median value and low if the proportion
was less than and equal to median value.
Comment 26:
Table 3: This table has been poorly described. Authors should take their time to explain
the details contained in the table. At a first glance, I believe the authors are focusing
on the odds of practicing unsafe stool disposal. The results presented here shows
varying levels of odds, which I found quite interesting. For instance, the odds of
practicing unsafe disposal was reduced as the children increase in age, except for
those aged 12-17 months. Looking at the data this way may provide very great insight
on how to discuss the results subsequently.
Response 26:
Thank you, our respected reviewer, for your interesting comment. Following your wise
advice, we describe the detail contain of Table 3. In the following manner “As shown
in Table 3, binary multilevel logistic regression analysis was used to present unadjusted
OR (95% CI) for individual and community level variables to identify factors associated
with unsafe child stool disposal. Individual level characteristics such as sex of
the child, age of the child, diarrhea conditions of the child, mother educational
level, mother’s employment status, household wealth index, toilet facility, and source
of drinking water were significantly associated with unsafe child stool disposal at
p<0.05 (Table 3). All the community level characteristics (region, place of residence,
and community poverty level) were found to be significantly associated with unsafe
child stool disposal at p<0.05 (Table 3).” As you understand, table 3 contains unadjusted
or crude OR estimates, which limited us to explain the odds as you observe in the
adjusted Table 3 (that showed adjusted OR results). Thank you for your comment. Please
see the revised manuscript.
Comment 27:
Line 182-197: Since authors knew they would still present and discuss their findings
by districts/regions i.e Tigray, Amhara etc, why did they group these administrative
regions together in their multivariate logistic model. It would have been great if
they analyse them separately too, and have odd ratios that would add credence to the
maps they presented as fig 1 and 2.
Response 27:
Thank you, our respected reviewer for your comments. Ethiopia has 11 administrative
regions including 2 city administrations (namely Tigray, Amhara, Oromiya, SNNP, Gambella,
Benshangul Gumuz, Somali, Afar, Harar, Addis Ababa, and Dire Dawa). However, contextually
the country is categorized as agrarian, pastoralists, and city-based population. The
main reason we follow this grouping of these administrative regions in multivariate
logistic model was due
1st: The interest of the current study was not in the regions delineated for administrative
purposes, which might not necessarily be related to child stool disposal of the population.
2nd: lack of adequate cell to run multilevel logistic regression (please check two
by two table showing weighted child stool disposal vs regions). Some of the regions
like Afar, Gambela, Harari, and Dire Dawa) have less cell count which affected our
estimates and wider the confidence interval as multilevel analysis required larger
sample size. In such case, it is highly recommended to group similar cells to find
a robust finding.
3rd: Most importantly, region was a category with more than 5 categories: In logistic
regression analysis the independent variable category should be more than 5 categories
as a general guiding principle (in our case Ethiopia regions were categorized in 11
administrative sections), which is more than the expected category. In such case,
it is highly advisable to regroup the category into 5 or less category in order to
have stable estimates. In run running logistic regression analysis having independent
variables with more than 5 categories the model considered the recent category as
continuous variable. In order to resolve this regrouping, the category in less than
5 group is crucial.
Comment 28
Table 4: Can the column on enumeration areas be removed. At the moment it adds no
value to the table, it would be better if the clusters can be provided as a supplementary
file, with aadditional descriptive lines provided. But for this present table, the
authors should retain 7 columns. The first can be titled category of clusters i.e
primary, secondary etc. while the second column, can be titled number of clusters
detected i.e. 201, 26 ..
Response 28:
Thank you, our respected reviewer. As per your wise advice we revised Table 4 accordingly
and we include a supplementary fil, with additional information on list of enumeration
areas and their coordinates. Please see the revised manuscript table 4.
Comment 29
Line 211-217: The footnotes provided here should rather be converted to main text,
and follow with line 207.
Response 29:
Thank you, our respected reviewer. Following your wise advice, we converted the footnotes
provided in Table 4 to main text. Please see the revised manuscript spatial scan statistical
analysis section. Thank you.
Comment 30
Line 224-225: Authors should check the write up. The 39.61% is from the null model
not community level factors
Response 30:
Thank you, our respected reviewer. In short yes, the ICC (39.61%) is from the null
model not community level factors; meaning in the null model, significant variation
in unsafe child stool disposal was observed among mothers across communities was observed
with an ICC of 39.61 % justifying the use of multilevel analysis approach (i.e., variation
in terms of unsafe safe child stool disposal could be attributed to unobserved community
characteristics).
Comment 31
Line 225: Please recast as “Furthermore, between -cluster variability….
Response 31
Thank you, our respected reviewer. We recast the sentence as per your wise advice.
Please see the revised manuscript.
Comment 32
Table 5: The heading row shoes AOR (95% CI). Please authors should take this out
Response 32
Thank you, our respected reviewer. We remove AOR (95%CI) from Table 5 heading rows
as they are not necessary. Thank you. Please see the revised manuscript table 5.
Comment 33
Table 6: Looks great.
Response 33
Thank you, our respected reviewer for your support and wise advice.
Comment 34
Line 251: insert a parenthesis after middle, before AOR.
Response 34
Thank you, our respected reviewer. We insert a parenthesis and we correct our mistake
according. Thank you. Please see the revised manuscript.
DISCUSSION
Comment 35
The discussion section is sound, and appropriately written in context of the results
presented
Response 35:
Thank you, our respect reviewer for your advice and support.
Limitations
Comment 36
Line 335: Start with Although,
Response 36:
Thank you, our respect reviewer. As per your wise advice we correct accordingly. Please
see the revised manuscript limitation section.
Comment 37
Line 336: expunge “, a model”
Response 37:
Thank you, our respect reviewer. As per your wise advice we correct accordingly. Please
see the revised manuscript limitation section.
Comment 38
Line 341: expunge, in
Response 38:
Thank you, our respect reviewer. As per your wise advice we correct accordingly. Please
see the revised manuscript limitation section.
Comment 39
Line 343: recast as “…..nature of the survey is not appropriate to estimate the cause
and effect…….
Response 39:
Thank you, our respect reviewer. As per your wise advice we correct accordingly. Please
see the revised manuscript limitation section.
Our respected reviewer 3
Thank you for this is prestigious learning opportunity. With all respect.
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