REASONS FOR DROPOUTS IN A COMMUNITY-BASED MANAGEMENT ACUTE MALNUTRITION (CMAM) PROGRAM USING LOCAL FOODS IN THE FAR NORTH OF CAMEROON
Igiene e Sanità Pubblica 2024; 91 (4): 91-105
Reasons for dropouts in a community-based
Management Acute Malnutrition (CMAM)
program using local foods in the Far North of
Cameroon
André Izacar Gaël BITA1&2, Agbor Nyenty Agbornkwai3, Herve Ebola Ambouol,4 Jules Guintang Assiene1
Affiliation
1Helen
Keller International, Department of Nutrition, Yaounde, Cameroon
University, Department of public health, Yaounde, Cameroon
3Catholic University of Central Africa, School of Health Sciences, Yaounde, Cameroon
4Texila American University, Faculty of medicine, Department of public health, Nicaragua
2ICT
Keywords: Community Management Acute Malnutrition, Dropout, Malnutrition, Food voucher, Lost to follow,
Nutrition
ABSTRACT
Introduction: The security crisis caused by the Islamic sect Boko Haram, coupled with
arid climatic conditions and a context of poverty, has preyed on populations in the far
north of Cameroon, exacerbating malnutrition rates among children under five years old.
New evidence has shown that many children with moderate acute malnutrition (MAM)
can be treated in their communities (CMAM) without having to be admitted to a health
center or therapeutic feeding center. The purpose of our study was to identify factors that
may lead to beneficiary dropout in a CMAM program in four health districts in the far
north of Cameroon.
Methods: A retrospective descriptive study of children who exited the CMAM program as
lost to follow-up. Trained CHWs interviewed mothers in the households of children
identified as lost to follow-up in the CMAM program using a questionnaire. The data
were analyzed using STATA software. The confidence interval used was 95% and a Pvalue of 5%.
Results: Seven hundred and ten children were identified as being lost to the CMAM
program, 686 of whom were present in the households during the interviews. Boys were
40.20%; girls 59.79% and the median age was 19 months. In the post-CMAM period,
boys (OR=0.64; p=0.018); children in Moulvoudaye health district (OR=0.32; p=0.0025),
and households with ≥10 people were at lower risk of MAM. The risk of being MAM was
higher in households located 6-10 km and ≥10km from a health facility (OR=4.21,
p<0.0001). Vitamin A Supplementation (OR=0.37; p=0.0131) and dietary diversity
(OR=0.60; p=0.0773) protected children from MAM. The main reasons for dropping out
of the CMAM program cited by parents were that health personnel and CHWs had
declared and discharged the child as cured (44.4%); mothers received information that
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the project was over (17.54%); and mothers had traveled (10.2%). Other reasons: parents
not keeping appointments (4.5%); children not responding to treatment (4.8%); shortage
of food supplies (3.1%); and the long distance between the distribution site and the
household (5.6%) etc.
Conclusion: Several children were discharged as dropouts while they were still active.
These included discharge errors and those due to the end of the project. Distance, stock
shortages, failure to keep appointments, parental relocation, and illnesses in children
were all reasons for the high dropout rate. We recommend strengthening the quality of
training for health personnel and CHWs on the CMAM protocol before implementation.
1. 1 Introduction
Malnutrition, as in many sub-Saharan African countries, remains a major public health
problem in Cameroon. Since the early 1990s, successive Demographic and Health
Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) have shown a worsening
trend in the prevalence of malnutrition in Cameroon, with a recent leveling from
prevalence’s around 15% for underweight, slightly above 30% for stunting and 5% for
wasting [1]. The DHS (2018) showed a high prevalence of acute malnutrition in children
under five years of age. These results show that the prevalence varies from region to
region. The regions of Adamaoua (34.6%); East (37%), Far North (37%), and North
(41%) have the highest prevalence [2]. The 2019 SMART surveys had also shown a
precarious situation for moderate acute malnutrition (MAM) with, 6.2% North; 5.5%
East, and 5.2% in the Far North. The northern and far northern regions were in an alert
situation for severe acute malnutrition (SAM) with 1.3% and 1.4% respectively [3]. Until
recently, treatment was only provided in health centers, which considerably limited the
scope and effectiveness of the fight against malnutrition.
New evidence indicates that many children with acute malnutrition can be treated in
their communities even without admission to a health center or therapeutic feeding
center. According to the World Health Organization (WHO), the community-based
approach is the timely detection of acute malnutrition in the community and the
provision of home-based treatment with ready-to-use therapeutic food or other nutritious
food when there are no medical complications [4]. Several international humanitarian
partners such as Helen Keller International (HKI), Action Contre la Faim, International
Medical Corps, etc., and UN agencies are working alongside the Ministry of Public
Health (MOH) in Cameroon to reduce the impact of malnutrition. In 2019, HKI
received funding from the Office of U.S. Foreign Disaster Assistance (OFDA) to continue
the food voucher approach in four health districts including Kaele, Guidiguis,
Moulvoudaye, and Kar Hay, which include a total of 67 health facilities and 770
communities in the far north region of Cameroon. HKI's project worked alongside
district health services, health facilities, the community, and households to strengthen
links between the health system and communities, and to improve the prevention and
management of acute malnutrition. This project used food vouchers to treat
malnourished children with nutritious and affordable foods available in the local market.
A community-based program required a lot of financial, time, and human resources to
benefit the community and specifically the malnourished children. Therefore, food
voucher program consisted of managing malnutrition involves nutritional education,
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regular home visits, and providing low-cost, locally available food support, with costeffectiveness analysis indicating it as a feasible solution to eliminate malnutrition.
The project then trained community health workers (CHWs) in the relevant components
of the Integrated Management of Acute Malnutrition and the locally validated version of
the Essential Nutrition Actions (ENA) and Essential Hygiene Actions (EHA) program.
Existing community platforms were used to provide monthly community screening using
mid-upper arm circumference (MUAC) measurements to identify and refer acutely
malnourished children for treatment and discussion of relevant ENA-EHA to promote
optimal nutritional practices [5].
The main objective of the program was to promote preventive actions to reduce the
burden of malnutrition and increase the proportion of acutely malnourished children,
pregnant and lactating women receiving treatment in seven health districts of the Farnorth region. And therefore, reduce the burden of acute malnutrition among children
under 5 years of age, and pregnant and lactating women by filling gaps in care coverage in
the Far North region of Cameroon resulting from the complex emergency around Lake
Chad. At the end of the implementation of the activities, several children were considered
lost to follow-up (having dropped out of the program). We found it appropriate to
investigate and document the reasons why beneficiaries dropped out of the communitybased moderate acute malnutrition management program (CMAM).
2. Materials and methods
2.1.
Study design
This was a retrospective study nested in the qualitative review of children who either did
not complete their follow-up in a CMAM program in four health districts in the far north
of Cameroon (Kaele, Guidiguis, Moulvoudaye, and Karhay). The aim was to revisit all
children identified as lost to follow-up or not responding to the CMAM program at home
and to collect data on the reasons for dropping out and the factors that could determine
whether the nutritional status of these children was restored after leaving the CMAM
program.
2.2.
Study location and population
This study was conducted in the far north region of Cameroon. It was conducted within
the four health districts, namely Kaele, Guidiguis, Moulvoudaye, and KarHay. The study
targeted children under five years of age who were followed up for the management of
moderate acute malnutrition from January to August 2020 in the four target health
districts.
The source population was all people living in the health districts of Kaele, Guidiguis,
Moulvoudaye, and KarHay. The target population was all children under five years of age
who had been followed in the MAM program by the OFDA-funded project implemented
by HKI in the four districts, and whose parents/caregivers had voluntarily consented to
participate in the study.
Inclusion criteria: children under five years of age who had either not completed their
follow-up, were discharged as lost to follow-up or were discharged in error.
Exclusion criteria: children who were not enrolled as malnourished in the CMAM
program; children who were transferred to the severe acute malnutrition management
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centers; children who died during the program; and children whose parents/guardians
refused to participate in the survey.
2.3.
Sampling
This was an exhaustive sampling of all children who had not completed their follow-up
under the CMAM program in the period from January to August 2020 in the health
districts of Kaele, Guidiguis, Moulvoudaye, and KarHay. The sampling was based on the
database of MAM management in the four districts. The selection of children in the
database was based on the criteria for discharging children in the program and on the age
of the children at the time of designing the list of children to be surveyed (exclusion of
children older than 59 months).
2.4.
Data collection tools and process
CMAM program intake records were used to identify children who had dropped out of
the program and those who had not completed their intake. Interview forms filled out in
the community by CHWs were used to analyze dropout rates and other parameters of the
CMAM program. These forms collected several types of information, including.
- Demographic and anthropometric data at intake
- Parents' perception and satisfaction with the CMAM program
- The health status of the child in the household
- Nutrition of the child in the household
- Access to drinking water, hygiene, and sanitation in the household
A list of children to be surveyed was established by health district and by health area. The
list included the child's name, the child's community, the child's enrollment code in the
MAM program, the name of the child's representative, and the child's age group, allowing
the interviewer to trace and identify the child in the community.
A total of 246 CHWs were trained to fill out the questionnaire by the previously trained
health area managers. Once trained, the CHWs went door-to-door in the community to
find the children they were looking for. Once the CHW found the child, he or she
administered the questionnaire to the child's mother or caregivers. The trained CHWs,
once in the child's home, introduced themselves and asked for verbal informed consent
from the head of the household to administer the questionnaire. Once consent was given,
the CHW would invite the mother to participate in the survey after explaining the
purpose and answering any questions the mother had. The interviews with the mothers
were conducted face-to-face in a remote location not far from the communal household;
the location had to be quiet, with privacy and low ambient noise so as not to disrupt the
interview. The CHWs asked questions and listened carefully to the mother without
interrupting her and took notes. The data were not audiotaped but were recorded on the
collection sheet and anonymized to ensure confidentiality. When the interview was
completed, the CHW thanked the mother and moved on to the next child's household in
the sample list until the list was exhausted.
If for some reason the child and the parent/caregiver moved or were no longer living in
the community in question, the CHW would report this, and the child would be removed
from the sample list and the next child on the list would be added. However, if the child
was not present in the household and the mother or caregiver was present, the CHW
administered the questionnaire.
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Anthropometric data of children at discharge in the CMAM program were extracted from
the MAM registers in the health facility where the child had been treated for MAM. The
nutritional status of the children after discharge from the CMAM program was obtained
from the data from the screening of the children's households during the home visits for
the interview.
Thanks to a questionnaire grouping 07 food groups, the 24-hour recall was used to assess
the dietary diversity of children in households during door-to-door interviews [6].
2.5.
Data management and analysis
The data collected in the survey forms were entered into an Excel sheet and then coded
for analysis by the software, STATA 16. The confidence interval and P-value used for
statistical analysis (univariate and multivariate logistic regression) were 95% and 5%
respectively. Graphs were designed using Excel 2016. For the multivariate analysis, only
variables that were significant in the univariate analysis were retained in the model. Some
variables, such as age, were removed from the model to avoid problems of multicollinearity. Finally, the variables retained were gender, health district, the distance of the
home from the health facility, number of people per household, Vitamin A
supplementation (VAS), and dietary diversity.
For the analysis of qualitative data, we used Krueger's "long table" method, which
consisted of identifying, through questioning, all the words transcribed verbatim from the
semi-structured interviews. Each word was transcribed when it was relevant, and classified
according to the themes that correspond to those of the interview form: the analysis,
therefore, focused on the frequency of similar responses to the same question by the
mothers.
2.6.
Ethical Considerations
The study was conducted in accordance with the Declaration of Helsinki, the
International Ethical Guidelines for Epidemiological Studies and the International
Ethical Guidelines for Health-related Research Involving Humans. Verbal consent was
obtained from the parents. We obtained the agreement of the health authorities of the
Far North Regional Health Delegation. Data collection and electronic files were
anonymous.
3. Results
3.1. Demographics data
A total of 710 children were pre-identified as dropouts in the CMAM program and 686
(96.62%) were present during the home visits. The available data showed that 406
(59.79%) children were male and 273 (40.20%) were female. The distribution of children
by health district (HD) shows that 201 children were present in Guidiguis, 294 in Kaele,
50 in KarHay, and 134 in Moulvoudaye (Table 1).
Table 1 Distribution of children by Health District (HD) and by sex
Health district
Girls
Boys
Total
%
Guidiguis
116
85
201
29,60%
Kaele
175
119
294
43,30%
KarHay
27
23
50
7,36%
Moulvoudaye
88
46
134
19,73%
Total
406 (59,79%)
273 (40,20%)
679
100,00%
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The minimum age at entry of children into the program was 6 months and the maximum
age was 58 months with a median of 19 months (interquartile range (IQR): 11 - 26
months). This median age ranged from 13 months (Moulvoudaye SD) to 24 months
(Guidiguis and KarHay SD). However, the ages of 37 children were not reported.
3.2. Nutritional status of children in the community after the CMAM program and
associated factors
At discharge, 30.7% (%IC 27.3 - 34.2%) of the children were MAM, i.e., 218 children out
of 710. The univariate analysis of MAM status was performed and included in Table 2.
The proportion of girls still suffering from MAM was three higher than that of boys with
33.7% and 11.1% respectively. Similarly, the proportion of children over 24 months of
age still suffering from MAM was higher than that of children under 24 months of age,
with 39.1% versus 26.0% respectively. According to the health districts, the proportion of
MAM children varied from 16.2% (Moulvoudaye) to 42.3% (Guidiguis). According to the
distance between the home and the nearest health facility, there was a significant increase
in the number of children still suffering from MAM with distance (p = 0.0003). The
number of persons per household also influenced the MAM status of children (p =
0.0355). Indeed, the more people in the household, the lower the proportion of MAM
children. The number of children under 5 years of age per household varied from 1 to 3.
However, this variable was not associated with MAM status (p = 0.994). Vaccination was
not associated with MAM status (p = 0.6141). Among dewormed children, 30.1% were
MAM and among non-dewormed children, 40% were MAM. However, the difference was
not statistically significant (p = 0.6245). Children who consumed vitamin A were
significantly less malnourished than those who did not (29.8% versus 50%, p = 0.019).
Consumption of roots and tubers, vegetables, and nuts; dairy products; meat products;
fruits and vegetables; and eggs promoted improved nutritional status (Table 2). Based on
the latter factors, we classified children with food diversity score (with score (≥4 groups of
food) and those without (score <4 groups of food) among children with dietary diversity,
25.6% were MAM compared with 44.1% of children with a non-diverse diet. This
difference in proportion was statistically significant (p <0.0001).
Table 2. Risk factors at MAM post CMAM
Variables n (%)
Food groups consumed (24h recall)
Sex
Micronutrient powders NS
girls
140/415 (33.7)
No
19/65 (29,3)
boys
78/288 (11.1)
Yes
191/618 (30,9)
Age (months) ***
Tubercules ***
5 – 23
109/420 (26.0)
No
87/188 (46.3)
24 – 59
99/253 (39.1)
Yes
131/522 (25.1)
Health District ***
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Legumes and nuts ***
Guidiguis
89/210 (42.3)
No
104/245 (42.4)
Kaele
91/309 (29.4)
Yes
114/465 (24.5)
KarHay
16/55 (29.1)
Dairy products *
Moulvoudaye
22/136 (16.2)
No
99/278 (35.6)
Yes
119/432 (27.5)
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Variables n (%)
Food groups consumed (24h recall)
Distance to health facilities (km) ***
Carrying products ***
0–5
130/476 (27.3)
No
119/299 (39.8)
6 – 10
48/143 (33.6)
Yes
99/411 (24.1)
10 et plus
37/74 (50.0)
Number of people by household *
Fruits and Vegetables ***
0–5
86/260 (33.1)
No
111/288 (38.5)
6 – 10
109/375 (29.1)
Yes
107/422 (25.4)
10 et plus
3/29 (10.3)
Number of children by household NS
Eggs ***
1
82/272 (30.1)
No
103/270 (38.1)
2
100/336 (29.8)
Yes
115/440 (26.1)
3
16/53 (30.1)
Immunization of child NS
Other fruits and vegetables ***
No
6/15 (40.0)
No
89/212 (42.0)
Yes
210/688 (30.5)
Yes
129/498 (25.9)
Child dewormed NS
Vitamin A *
No
6/15 (40.0)
No
15/30 (50.0)
Yes
209/681 (30.1)
Yes
201/674 (29.8)
Food diversity ***
No
86/195 (44.1)
Yes
132/515 (25.6)
***: p-value ≤ 0.001; **: p-value ≤ 0.01; *: p-value < 0.05; p-value < 0.1.
NS: No significative; n : effectif
The results of the multivariate analysis have been summarized in Table 3. Only significant
variables were retained in the model. We observe that boys are less at risk of being MAM
than girls (OR = 0.64, p = 0.018). Children in the Moulvoudaye SD were less at risk than
those in the Guidiguis SD (OR = 0.32, p = 0.0025). The risk of being MAM when the
household was between 6-10 km from a health facility was 57% higher than the risk of
being MAM when the household was within 5 km of a health facility. Similarly, children
living in households located more than 10 km away were 4.21 times more likely to be
MAM than those living in households located less than 5 km from a facility (OR = 4.21, p
< 0.0001). Children living in households with fewer than 5 people are 5 times more likely
to be MAM than those living in households with more than 10 people. VAS protects
children from MAM status. Indeed, the Odds Ratio for children consuming vitamin A is
0.37, which means that children who have not been supplemented with vitamin A are 2.7
times more likely to be MAM than those who have. Dietary diversity also protects against
post-CAMM MAM status (OR = 0.60, p = 0.0773).
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Table 3. Multivariate analysis of determinants of post-CMAM
Variables
ORa
IC95%
P value
Ordinate at the origin
1.74
0.69 - 4.43
0.2371
-
-
0.44 - 0.92
0.0182
-
-
Sex
Grils
Boys
1
0.64
Health district
Guidiguis
1
Kaele
1.16
0.66 - 2.09
0.6058
KarHay
1.00
0.49 - 2.01
0.9841
Moulvoudaye
0.32
0.15 - 0.67
0.0025
-
-
Distance to health facilities
(Km)
0 – 5 Km
1
6 – 10 Km
1.57
0.98 - 2.49
0.0599
10 km et plus
4.21
2.27 - 7.98
< 0.0001
-
-
Number of people by
household
0–5
1
6 – 10
0.98
0.67 - 1.44
0.9349
10 et plus
0.20
0.04 - 0.62
0.0135
-
-
0.16 - 0.81
0.0131
-
-
0.34 - 1.05
0.0773
Vitamin A Supplémentation
(VAS)
No
Yes
1
0.37
Food diversification
No
Yes
1
0.60
3.3 Reasons for children dropping out of the CMAM program in the target health
districts.
Interviews with mothers in the homes of children who had dropped out of the CMAM
program showed that there were several reasons why parents no longer brought their
children to the food distribution centers for the management of malnutrition (Figure 1).
The main reason given by the mothers was that the health staff or community health
worker had declared the child cured (discharge error), representing 44.4% (213/479) of
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the children discharged. The second reason was that the mothers received information
that the project was ending (17.54%), which explains why the children were discharged as
abandoned by the health workers and CHWs when the project was ending. Another
major reason cited was the mother's displacement from the geographic areas of
distribution (10.2%). Other significant reasons included parents not keeping
appointments (4.5%); children not responding to treatment (4.8%); food shortages
(3.1%) and mothers finding the distance between the distribution site and the household
to be long (5.6%) etc.
Figure 1. Reasons for leaving the CMAM program according to mothers.
A newborn at the mother's home
0,63%
At the request of the parents
0,42%
Breakage of food at the distributor
Marital problem
3,13%
0,21%
Child discharged as non-responder (facili ty)
4,85%
The child was discharged as cured (health facility)
Parents busy with other activities
44,47%
1,46%
Non-respect of appointment s (parents)
Illness of the mother
4,59%
1,25%
The parents found the distribution as a mockery
0,21%
The child did not consume his ration properly
0,21%
The child had not abandoned
0,42%
Traders' strik e
0,21%
Child referred to CNAS
1,04%
Sick child
4,38%
Long distance between home and the IHC
5,64%
Mother moves
Child dies
Stop the project
10,23%
0,42%
17,54%
Interviews with health workers and mothers showed that food distribution and
measurement of anthropometric parameters were done by community health workers to
ease the workload of health workers. One health worker said, "It is the community health
workers who distribute the food and fill out the weight and height records. We check
weight, height, and blood pressure on admission. This statement could explain the large
number of children discharged in error, certainly due to poor measurement of
anthropometric parameters by CHWs, which should be confirmed by health staff. One
mother also stated, "I was given the food, and the relay asked me not to come back, that
my child was cured”.
Another mother said, "I arrived at the site, we waited for the food for hours with other
women, and they came to tell us that the food is finished, that the project is finished,
since that day I have not gone back. Another said, "I went twice, but the vendor did not
come. This may explain why some mothers had to leave the program, either after
receiving information that the project was halted, or the missed appointment by the
vendor in charge of delivering the food to the site.
Several women also said that the distance to access the food was enormous, or that they
traveled for long periods away from the distribution areas for family reasons, or to work in
the fields. "I went to Guideo in another village far from here, I couldn't come back just to
get the food," said two mothers.
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Discussion
Our study was interested in illustrating the dynamics of children in a CMAM program in
the far north of Cameroon, particularly for children who dropped out of the program,
and the factors that could determine the outcome of these children in the program. Out
of 710 children searched, 96.71% were found, which is higher than the data published by
Kone A et al, (2018). According to the authors, only 40.3% of children who dropped out
of a CMAM program return to care [7]. This difference is explained by the fact that we
sought out children at home doing door-to-door outreach using community CHWs.
Male children were more exposed to malnutrition with 59.79% compared to 40.20%
female children. This has been shown by several other authors that boys are more affected
by malnutrition than girls, such as Thurstans S et al, (2020) and Choudhury et al, (2020)
[8, 9].
After exiting the CMAM program, we observed that 30.7% of the children were MAM.
This higher proportion compared to that found in other CMAM programs as shown by
Se-Eun Park et al, (2012) with 17.8% is justified by the fact that the children discharged
from the program in our study did not meet the criteria for recovery before being
discharged [10]. According to, Odei GA, et al (2016) discharging children from treatment
when not fully recovered increased the risk of post-treatment relapses to malnutrition [11].
In addition, work by O Adegoke et al, (2021), and Heather C et al, (2018), showed that
relapses to malnutrition were higher in the 2-6 months after discharging children from
the program [12, 13].
The proportion of children over 24 months of age with MAM was higher than that of
children under 24 months of age with 39.1% versus 26.0% respectively after discharge.
These results are consistent with those of Abitew DB et al, (2020) who showed a higher
proportion of relapsed MAM in children over 23 months of age compared to those under
24 months of age [14].
The distance between the home and the health facility, the number of people in the
household, the child's immunization status, deworming, and vitamin A administration
were all found to significantly influence the nutritional status of children in the
community. Several studies had already highlighted the association between nutritional
status and VAS, and vaccination [14, 15]. According to Sobze Sanou et al, (2020), the
inadequate index of people living in households in the far north remains very high at
70.4% [16]. In this same geographical area, it has been shown that households can have
up to 10 people which does not allow children to eat at their convenience and in a
diversified manner. The study by Aoun N et al, (2015), also confirmed that there is a
significant association between geographic access, time to access health services, and
malnutrition [17].
The consumption of tubers, vegetables and nuts, dairy products, meat products, fruits
and vegetables, and eggs favored the improvement of nutritional status. This could be
explained by the high consumption of these products among children under five in the
study area. The work of Sobze Sanou M et al, (2019) had already shown high proportions
of certain products such as tubers and cereals (98.4%), meat products (73.1%); vegetables
and nuts (63.6%); fruits and vegetables (62.9%), and low consumption of dairy products
(29.1%) and eggs (3.4%) [6].
Children with dietary diversity are less at risk of malnutrition (25.6%) compared to
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44.1% of those with non-diversified diets. These results are consistent with those of Sobze
Sanou M et al, (2019) in the far north of Cameroon, who showed a low proportion of
children with dietary diversification (35.5%) and a low risk of malnutrition in the latter
(2.2%) [6]. Similarly, the work of Adegoke et al, (2020) confirmed a low risk of relapse to
malnutrition in children with a high dietary diversity score in the community after a
malnutrition management program [12]. Other studies have shown a high proportion of
inappropriate feeding practices (74.4%) scientifically linked to malnutrition (OR=
OR=3.44; CI [2.06; 5.76] (P˂0.05) [18].
Several studies have shown low dropout rates from the CMAM program, but few have
addressed the reasons for dropout. Our study showed that the main reason given by
mothers for dropping out of the program was that the health staff or community health
worker had made a discharge error, i.e., 44.4% of children were discharged. This could be
explained by the low level of knowledge of the CMAM program among health workers
and community health workers in charge of implementation in the community.
According to Khan A et al, (2020); Rahman, M. M., et al. (2020) and Alemu, B., et al.
(2018)., the lack of knowledge about the CMAM program and the motivation, perception,
attitude, and socio-economic status of health workers and CHWs are high dropout factors
for the program [19, 20, 21].
Mothers had received information that the project was ending (17.54%), which explains
why children were discharged as dropouts by health workers and CHWs when the project
was ending. This could explain a lack of knowledge among health workers and CHWs
about case management and program exit criteria. According to the protocol, these
children who have spent more than three months in the program should be discharged as
unresponsive to treatment and transferred to a follow-up center at the nearest functional
health facility (therapeutic feeding center). The results also noted low documentation of
non-responders to treatment (4.8%).
Several mothers reported moving out of the geographic distribution areas for several days
and were excluded as dropouts in the program (10.2%). This factor had already been
examined in Ethiopia by Molla M et al, (2017), showing that mothers' displacement from
distribution sites is a major factor in program dropout. According to the authors, this is
explained by mothers' lack of information about the program and their poor
understanding of the program objectives [22].
A non-negligible proportion of non-compliance with appointments by parents (4.5%) had
been found. This proportion is low, compared to the results found by Gebrehiwot M et al,
(2016) which is a range of 10%-80% in Ethiopia. According to the authors, these high
rates of non-adherence to appointments and dropout are justified by the remote distance
to health facilities. This was also mentioned by the mothers in our study [23].
Mothers reported that the distance between households and the distribution site was high
(5.6%), and other research has shown that long distance is a risk factor for dropping out
of the care program. Other factors such as male gender, older age of the child, low
socioeconomic status, and poor access to health services may also contribute to program
dropout [19, 23, 24, 25].
Our results showed that food shortages (3.1%), and unavailability of vendors
(distributors) during visits by mothers contributed to dropout from the CMAM program.
This had already been shown by R. M. K. Gebremedhin et al, (2020) in the results of
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their work. According to the authors, stock-outs were associated with high dropout rates
in CMAM programs. In addition, stock-outs are more common in remote areas and
programs with poor supply chain management systems. Stock-outs are an important factor
contributing to high dropout rates in CMAM programs [23].
4. Conclusion
The purpose of our study was to document the factors that may lead to the dropout of
beneficiaries of a community-based acute malnutrition management program for children
under five years of age in four health districts in the far north of Cameroon. The analysis
of secondary data and community interviews made it possible to document the factors
that could contribute to the deterioration of the nutritional status of children in postCMAM care and to identify the factors that contributed to the abandonment of the
program in the communities. It was found that gender, geographical area, the distance
between the household and the health facility, number of people living in the household,
and VAS are factors significantly associated with the incidence of malnutrition among
children in the households. The reasons that led to the abandonment of the program by
the beneficiaries were mainly the error of discharge by the health personnel and CHWs in
the community; discharge at the end of the project; the distant distance between the
households and the distribution sites; illness in the child, non-responders to the
treatment, non-respect of appointments and stock-outs of inputs in the distribution sites
For a better implementation of the CMAM programs in the future, we recommend (1)
reinforcing the training of health personnel and CHWs on the CMAM protocol before
implementation in the community; (2) reinforcing community participation in the
planning of the CMAM programs, in particular in the choice of distribution sites; (3)
reducing and anticipating input stock-outs in the distribution sites; (4) at the end of the
project, transferring MAM children to outpatient nutritional centers.
Limitations of the Study
The data were collected approximately three months after the beneficiaries had left the
CMAM program, which could lead to a bias related to the omission of certain
information by beneficiaries.
Conflicts of interest
André Izacar Gaël BITA and Jules Guintang Assiene, HKI employees were involved in
project implementation in the study area. However, this study was not commissioned or
financed by HKI or MoH.
Acknowledgments
We thank Helen Keller Intranational, Office of Cameroon, and health workers of the
health districts of Kaele, Guidiguis, Karhay, and Moulvouday in far north Cameroon.
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Corresponding author:
André Izacar Gaël BITA,
email bitagael@gmail.com
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