Knowledge of the Implementation of the Malaria Control Program in Four Health Districts in Yaounde, Cameroon

International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 5 Issue 3, March-April 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD38668 | Volume – 5 | Issue – 3 | March-April 2021 Page 6
Knowledge of the Implementation of the Malaria Control
Program in Four Health Districts in Yaounde, Cameroon
Djam Chefor Alain1, Ndale Wozerou Nghonjuyi2, Njem Peter Kindong3
1Department of Public Health, Faculty of Medicine and
Pharmaceutical Sciences, University of Dschang, Cameroon
2Department of Animal Sciences, Faculty of Agriculture and Vertenary Medicine, University of Buea, Cameroon
3Ideal Medical Laboratory Kumba, Cameroon
ABSTRACT
Malaria is one of the oldest diseases of mankind and has been the greatest
scourge and killer of all times. It is caused by protozoan parasites from the
genus Plasmodium and is transmitted by the bite of a female Anopheles
mosquito or by a contaminated needle or transfusion. Malaria continuestobe
a threat to socioeconomic development in endemic societies in Sub-Saharan
Africa and especially Cameroon being Africa in miniature. This was a cross-
sectional study which ran from November 2018 to March 2019 with data
collected using questionnaires. The study was carried out in Yaounde, the
capital of Cameroon. The study the involved government District Hospitals
and Health Centres under the Biyem Assi, Cité Verte, Efoulan and Nkolbisson
Health Districts in Yaounde making use of their healthcare providers in the
training on malaria case management from October 2017. 92 persons were
recruited including42personswhoweretrainedonmalaria casemanagement
and 50 who were not trained. With respect to health districts, 20 participants
came from Biyem-Assi, 24 from Cite Verte, 20 from Efoulan and 28 from
Nkolbisson. These persons involved some of the healthcare providers in the
four health districts whoweretrainedonmalaria casemanagementinOctober
2017 and a number of healthcare providers who were not trained but who
work in the same health facilities as the trained healthcare providers. Wealso
employed purposive sampling. The results were summarised into three
aspects; malaria diagnosis, treatment and prevention. The trainedhealthcare
providers demonstrated very good knowledge on the species responsible for
malaria, the signs associated withsimplemalaria,routeanddurationofsimple
malaria treatment with percentages of 97.62%, 100%, 97.62% and 90.48%
respectively. Similarly,healthcareprovidersshowedgoodknowledge withthe
signs and route of severe malaria treatment of 88.1% and 100% respectively.
Corresponding good knowledge was seen with their untrained colleagues
though with a slightly lesser percentage in each case. There was a significant
difference (P=0.22) in knowledge of healthcare providers on malaria
prevention between those trained 90% and those not trained 78.57% with
respect to ITN distribution campaign.Therewasalsoa significantdifferencein
knowledge with respect to 1st (P=0.01) and 2nd (P=0.02) line treatment on
malaria as well as in 1st line treatment for the 1st, 2nd and 3rd trimester of
pregnancy (P=0.23, 0.05) respectively between trained and untrained
healthcare providers. At the end we realised that there was a good level of
knowledge of the components of the training programamongthosewhowere
trained. There was a higher level of knowledge on malaria diagnosis and
treatment for those who were trained compared to those who were not
trained and not all the practices in malaria case management werecarriedout
as per the national guidelines.
KEYWORDS: Malaria, Diagnosis, Treatment, Prevention, Health district
How to cite this paper: Djam CheforAlain
| Ndale Wozerou Nghonjuyi | Njem Peter
Kindong "Knowledge of the
Implementation of the Malaria Control
Program in Four Health Districts in
Yaounde, Cameroon"
Published in
International Journal
of Trend in Scientific
Research and
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ISSN: 2456-6470,
Volume-5 | Issue-3,
April 2021, pp.6-12, URL:
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Introduction and Background
Malaria is one of the oldest diseases of mankind and has
been the greatest scourge and killer of all times. Together
with tuberculosis and HIV/AIDS they have been named the
“Big Three” and constitute the heaviest infectious diseases
burden in endemic countries.Malaria iscausedbyprotozoan
parasites from the genus Plasmodium, discoveredin1880by
Charles Louis Alphonse Laveran, transmitted by the biteofa
female Anopheles mosquito or by a contaminated needle or
transfusion (Shiel, 2018). It continues to be a threat to
socioeconomic development in endemic societies in Sub-
Saharan Africa and especially Cameroon being Africa in
miniature. An estimated 239 million cases of malaria
IJTSRD38668

International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com eISSN: 2456-6470
occurred worldwide in 2010 compared with 217 million
cases in 2016 and 219 million cases in 2017. Although there
were 20 million fewer cases in 2017 than in 2010 globally,
the period 2015 to 2017 registered only a minimal if slightly
upward change in trend, suggesting that progress had
generally stalled. The WHO African Region still bears the
largest burden of malaria morbidity, with 200 million cases
(92%) in 2017, followed by the WHO South-EastAsia Region
(5%) and the WHO Eastern Mediterranean Region (2%).
Globally, 3.4% of all estimated cases were caused byP. vivax,
with 56% of the vivax cases being in the WHO South-East
Asia Region. P. vivax is the predominant parasite inthe WHO
Region of the Americas (74%), and is responsible for 37% of
cases in the WHO South-East Asia Region and 31% in the
WHO Eastern Mediterranean Region (WorldMalaria Report,
2018). The clinical nature of the diseasedependsstrongly on
the background of acquired protective immunity, which is a
consequence of the pattern and intensity of malaria
transmission in the area of residence (Molineaux, 1997).
Between 2010 and 2017, estimated deaths due to malaria
globally declined from 607000 to435000cases.Estimatesof
malaria mortality rate (deaths per 100 000 populations at
risk) show that, compared with 2010, all regions had
recorded reductions by 2017, except the WHO Region of the
Americas, mainly due to a rapid increase in malaria in
Venezuela. Globally, 266 000 (61%) malaria deaths were
estimated to be in children less than 5 years. The WHO
African Region accounted for 93% of all deaths in 2017. It
also accounted for 88% of the 172 000 cases reported in
2017 relative to 2010 (607,000) (World Malaria Report
2018).
In 2010, WHO recommended that all suspected malaria
cases receive confirmatory diagnosis using the rapid
diagnostic test (RDT) or microscopy before antimalarial
prescription, (WHO, 2015). In 2011, Cameroon adopted
these guidelines as national policy. Diagnosis with either
microscopy or RDTs is expected to reduce overuse of
antimalarial medicines by ensuring that treatment is given
only to patients with confirmedmalaria infectionasopposed
to treating all patients with fever (Thiams et al., 2011).
Malaria can be classified as uncomplicated or complicated
(severe). For uncomplicated malaria, the most common
symptoms are fever and chills, headaches,
nausea and vomiting, general weakness and body aches.
Complicated or severe malaria occurs when malaria affects
different bodysystems.Symptomsaresevere anemia (dueto
destruction of red blood cells), kidney failure, cerebral
malaria characterized by seizures, unconsciousness,
abnormal behavior, or confusion; cardiovascular collapse
and low blood sugar (hypoglycaemia) (in pregnant women
after treatment with quinine) (Ballentine, 2019).
WHO recommends the following artemisinin-based
combination therapies (ACTs) for uncomplicated malaria
treatment: Artemether-Lumefantrine (AL); Artesunate-
Amodiaquine (AS-AQ); Artesunate-Mefloquine (AS-MQ);
Artesunate-Sulfadoxine-Pyrimethamine (AS-SP) and
Dihydroartemisinin-Piperaquine (DHA-PPQ). The different
antimalarials recommended in the treatment of severe
malaria are injectable artesunate, quinine injectable and
injectable artemether. According to the Cameroon National
Guidelines for the treatment against malaria, Cameroon
adopted 2 ACTs in the treatment of uncomplicated malaria
which are AS-AQ as first line treatmentandAL assecondline
treatment. For the treatment of severe malaria, the
recommended treatment is injectable artesunateasfirstline
treatment, injectable Quinine as second line treatment and
injectable artemether as third line treatment. In Cameroon,
malaria in pregnancy is considered severe. Therefore,
treatment during the first trimester is done with injectable
Quinine. During the second and third trimesters, injectable
artesunate is used as first line and injectable Quinine and
injectable artemether as second and third line treatment
respectively. In spite of all these decisions,therearestill a lot
of challenges in malaria case management such as the non-
respect of the guidelines, lack of information by some
prescribers, the continuity of old case management habits.
As part of the Millenniun Development Goals, (MDGs)
leaders in malaria endemic countries adopted the Roll Back
Malaria (RBM) framework and MDG was later transformed
into Sustainable Development Goals (SDG).
Wide-scale malaria interventions have led to major
reductions in overall malaria mortalityandmorbidity.Atthe
beginning of 2016, an estimated 3.2 billion people in
91 countries and territories (WHO, 2016) were at risk of
infection with Plasmodium. As part and parcel of SDG,
malaria has been recently targeted for elimination by 2030
by adoption of the Global Technical Strategy (GTS) for
malaria2016-2030framework whichembracesthreepillars;
and two supporting elements, with one of the supporting
element being harnessing innovation and expanding
research, (WHO, 2017). The first pillar of GTS 2016-2030
focuses on ensuring universal access to malaria `prevention,
diagnosis and treatment. To this effect there is need of
continuous operational research toevaluateandscaleupthe
knowledge of the implementation by health care providers
and National Malaria Control Program (NMCP). This paper
focuses on the evaluation of health care providers’
knowledge on implementationofmalaria control programin
four Health Districts of the Centre Region of Cameroon;
following training sessions by Cameroon’s NMCP.
METHODS
It was a cross-sectional study which ran from November
2018 to March 2019 with data collected using
questionnaires. Participants gave the most valid answer to
each question asked in the questionnaires. The study was
carried out in Yaounde, the capital of the Centre Region of
Cameroon and the capital city of the country. It is located on
latitude 3.87 and longitude 11.52. It hasa surfacearea of180
km² and lies at an elevation of about 750 metres above sea
level and has a population of about 2.5 million people. The
study involved government District Hospitals and Health
Centres under the Biyem-Assi, Cité-Verte, Efoulan and
Nkolbisson Health Districts in Yaounde who had healthcare
providers involved in the training on malaria case
management in October 2017.
TheBiyem-Assi Health District is made up of 11 health areas
and a total of 159 health facilities spread throughout these
health areas. It has about 80 medical doctors and about 570
other health care providers made up of nurses and others.
The Cite-Verte Health District is made up of 11 health areas
and a total of 39 health facilities spread throughout these
health areas
The Efoulan Health Districtis made upof9healthareasanda
total of 101 health facilities and has a total number of 120

medical doctors, 500 nurses and 169 medical laboratory
technicians.
The Nkolbisson Health District is made up of 7 health areas
and a total of 62 health facilities and has a total of16medical
doctors, 71 nurses, community health workers which are
made up of 51 mobilisers and 37 community relay workers.
For the study, 92 persons were recruited including 42
persons who were trained on malaria case management and
50 who were not trained. With respect to health districts,20
participants came from Biyem-Assi, 24 from Cite Verte, 20
from Efoulan and 28 from Nkolbisson. These persons
involved some of the healthcare providers in the four health
districts who were trained on malaria case management in
October 2017 and a number of healthcare providers who
were not trained but who work in the same health facilities
as the trained healthcare providers.
The sampling method used was purposive sampling
whereby the participants; doctors, nurses and laboratory
technicians in the four health districts who were trained or
not trained were selected based on their availability and
based on whether they gave their consent.
Since 119 healthcare providers were trained in the four
health districts. Depending on the available number, these
healthcare providerswereinterviewedandanequal number
of other healthcare providers in the same health facilities
who were not part of the training were also interviewed
giving the total number of healthcare providersforthestudy
but taking into consideration the inclusion and exclusion
criteria, as not all health providers who were trained could
be found due to different reasons such as transfer and
retirement. As such 92 healthcare providers were
interviewed; 42 trained and 50 not trained with some
districts having more respondentsthanothersdepending on
their availability. Of these, 7 were medical doctors, 64 were
nurses and 12 were medical laboratory technicians
Inclusion and exclusion Criteria
The inclusion criteria for the study involved;
1. Healthcare providers (medical doctors, nurses and lab
technicians) in the four health districts who were
trained and who worked currently in their health areas
or in other health areas within the four health districts.
2. An equal number of healthcare providers who did not
take part in the training but also worked in the same
health areas as their trained colleagues
The exclusion criteria for the study involved;
1. Any healthcare provider who was trained in one of the
four health districts but had been transferred out of the
four health districts.
2. Any healthcare provider who was trained in one of the
four health districts but had been transferred to an
administrative position and thus is not involved in drug
prescription.
A questionnaire was developed, and copies made for the
healthcare providers involved in the study. Using the list of
healthcare providers who took part in the training, each of
the hospitals in which they work was visited and a copy of a
questionnaire handed to each one of them together with the
consent form depending on their availability. In the same
hospital, for each trained healthcare provider interviewed,
another healthcare provider of the same gender, age and
same qualifications as trained colleague who did not
participate in the training was interviewed using the
questionnaire. The number of questionnaires answered per
district were 20 in Biyem-Assi, 24 in CiteVerte,20inEfoulan
and 28 in Nkolbisson.
The data was entered into Microsoft Excel 2013 was
analysed using randomisation techniques at confidence
interval of 95%. Descriptive statistics was used to
summarise thedemographiccharacteristicswhileinferential
statistics (both the t-test and chi square analysis) was used
to analyse the research questions. The results were
represented on pie charts and tables.
For ethical and administrative procedures, authorisation
was gotten from the Regional Delegation through the
Regional Coordinator for malaria of the Centre Region
autorisation was also obtaind from the chief medical officer
of the public health unit of the Central Region and the
acceptance letter was takentotheDistrictMedical Officersof
the various districts, the consent of the participants was
sought and those who accepted were recruited.
Results
Participants’ knowlegde on species, signs and
symptoms; and treatment options.
The key results of this study could be summarised intothree
aspects which are; malaria diagnosis, treatment and
prevention. The trained health care providersdemonstrated
very good knowledge on the species responsibleformalaria,
the signs associated with simple malaria, routeandduration
of simple malaria treatment as shown in table 1 with
percentages of 97.62%, 100%, 97.62% and 90.48%
respectively. Similarly, health care providers showed good
knowledge with the signs and route of severe malaria
treatment of 88.1% and 100% respectively. Corresponding
good knowledge was seen with their untrained colleagues
though with a slightly lesser percentage in each case.
Table 1: Participants’ knowledge on species, signs and symptoms; and treatment options
Knowledge of malaria prevention
There was a significant difference (P=0.22) in knowledge of healthcareprovidersonmalaria preventionbetweenthosetrained
90% and those not trained 78.57% with respect to ITN distribution campaign. There was an unusually higher percentage in
Variable
Response in
questionnaire
Trained
Freq (%)
Not trained
Freq (%)
P value
Species for severe malaria Correct : 41 (97.62) 43 (86) 1.00
Signs associated with simple malaria Correct 42 (100) 48 (96) 1.00
Route for simple malaria Correct 41 (97.62) 47 (94) 0.33
Duration of simple malaria treatment Correct 38 (90.48) 47 (94) 0.85
Signs of severe malaria Correct 37 (88.1) 41 (82) 0.30
Route for severe malaria Correct 42 (100) 50 (100) /
Subsidising antimalarial drugs in
children
Correct 35 (83.33) 43 (86) 0.95

knowledge of untrained healthcareprovisiontowardsfreeITNsdistributiontopregnantwomen(94%)thantrainedhealthcare
providers (92.86%). Furthermore, trained healthcare providers were shown to have greater capacitybuilding66.67%tofight
against malaria than untrained personels 60.0%. This is shown in table 2
Table 2: Knowledge of malaria prevention
Variable
Response in
questionnaire
Trained
Freq (%)
Not trained
Freq (%)
P value
Providing free ITNs to pregnant women Correct 39 (92.86) 47 (94) 1.00
Providing free IPTp to pregnant women Correct 40 (95.24) 45 (90) 0.59
ITNs distribution campaigns Correct 33 (78.57) 45 (90) 0.22
Capacity building of actors in the fight against malaria Correct 28 (66.67) 30 (60) 0.66
Knowledge on treatment options and in pregnancy
There was a significant difference in knowledge with respect to 1st (P=0.01) and 2nd (P=0.02) line treatmentonmalaria aswell
as in 1st line treatment for the 1st, 2nd and 3rd trimester of pregnancy (P=0.23, 0.05)respectivelybetweentrainedanduntrained
healthcare providers. The relationship in knowledge between trained and untrained healthcare providers was statistically
insignificant with respect to 1st and 2ndline treatment of severe malaria as well as recommended antenatal visit to hospital
(P=0.86). This is summarized in table 3.
Table 3: Knowledge on treatment options and in pregnancy
Variable Response in questionnaire
Trained
Freq (%)
Not trained
Freq (%)
P value
1st line simple malaria Correct 26 (61.9) 18 (36) 0.01
2nd line simple malaria Correct 30 (71.43) 21 (42) 0.02
1st line severe malaria Correct 28 (66.67) 33 (66) 1.00
2nd line severe malaria Correct 15 (35.71) 19 (38) 0.95
Recommended antenatal visits Correct 34 (80.95) 38 (76) 0.86
Treatment 1st line 1st trimester Correct 26 (61.9) 23 (46) 0.23
1st line 2nd and 3rd trimester Correct 24 (57.14) 21 (42) 0.50
Trained healthcare providers were shown to have increased knowledge 95.24% on malaria diagnosis than untrained
healthcare providers66%. Health providers from the differenthealthdistrictsconductedbothclinical andlaboratorydiagnosis
for malaria though most of the malaria cases (45) were confirmed from laboratory diagnosis than from clinical diagnosis (1).
This is summarized in table 4.
Table 4: Knowledge on malaria diagnosis
Variable Response in questionnaire
Trained
Freq (%)
Not trained
Freq (%)
P value
RDT interpretation Correct 40 (95.24) 33 (66) 0.03
Confirmation of malaria diagnosis Clinical signs Laboratory tests Both
Biyem-Assi 0 9 9
Cite Verte 0 9 15
Efoulan 1 12 4
Nkolbisson 0 15 11
Total 1 45 39 (42.39%)
Test to confirm malaria diagnosis Correct
Biyem Assi 5
Cite Verte 4
Efoulan 8
DISCUSSION AND CONCLUSIONS
This paper focuses on the evaluation of health care
providers’ knowledge on implementation of malaria control
in four Health Districts of the Centre Region of Cameroon,
namely Biyem-Assi,Cite-Verte,EffoulanandNkolbisson.Few
trained malaria healthcare providers were aware of some of
the malaria program activities such as the regular capacity
building actors in the fight against malaria at all levels of the
health pyramid 28 (66.67%), P=0.66 and seasonal malaria
chemoprevention in children below 5 in the North and Far
North Regions 11 (26.19%), P=0.70.Thiscanbecomparedto
a similar study carried outinNigeria onoperational research
by IkeOluwapo et al (2017), where most of the participants
were not aware of any existing framework that guides
malaria operational research (MOR), but a third mentioned
affirmatively that there was no existing framework that
guides MOR while ten others didn’t comment. This lack of
knowledge in the healthcare providerscouldbeexplained by
the fact that the capacity building might not be very effective
and the chemoprevention was carried out in the North and
Far North regions of Cameroon while this study was carried
out in the centre region.
In identifying what lab test was used for confirming malaria
diagnosis, Efoulan among the four health districts had the
highest number of respondents 8 (40%) who gave the
correct responses by performing RDT and the least correct
responses came from Nkolbisson, 4 (14.29%). A total of 55
(59.78%) from all the districtschoosetheincorrectresponse

(microscopy) which could be used for malaria diagnosis but
is not the required method according to the national
guidelines. This can be compared to a study in Sudan by
Elmardi KA (2009) whereby volunteers were trained on
guidelines on the use of RDT for diagnosis. The overall
adherence of volunteers to the project protocol in treating
and referring cases was accepted but for one of 20
volunteers who did not comply with the study guidelines.
Although the use of RDTs seemed to have improvedthelevel
of accuracy and trust in the diagnosis, 30% of volunteers did
not rely on the negative RDT results when treating fever
cases.
The preference for using microscopy could be duetothefact
that microscopy is costly compared to the RDTs and the
health workers prefer using microscopy which brings in
more revenue to the hospital. Furthermore, it could be due
to the fact that microscopy had been the standard for a very
long period of time and they found it difficult to changefrom
what they already knew. Also, the limited stock of the RDTs
could be causing them to use microscopy which is the more
available option.
In performing a RDT, health care providers who were
trained gave the right responses on how to detect RDT
results 40 (95.24%) meanwhile among those who were not
trained, 33 (66%) gave right responses (P=0.03) and thus
there was a statistically significant difference between both
groups. This is similar to a study carried out in Uganda
byDaniel J Kyabayinzeet al, (2012) where 135 health
workers were trainedincluding63(47%)nursingassistants,
a group of care providers without formal medical training.
All trainees passed the post-training concordance test
with ≥ 80% except 12 that required re-training. Six weeks
after the first day of training, 51/64 (80%) of the health
workers accurately performed the critical steps in
performing the RDT. The performance was similar among
the 10 (16%) participants who were peer-trained by their
trained colleagues. Only 9 (14%) did not draw the
appropriate amount of blood using pipette. The lower
percentage in performance among trained participants in
our study could be explained by the fact that the study was
carried out about a year after the training had taken place
which is a much longer period compared to that in Uganda.
Also, their trained colleagues may not have explained the
RDT process well to them or may not have explained at all.
Among the four districts, it wasobservedthatCite-Verte had
the most respondents 17 (70.83%) who had a
pharmacovigilance system in their hospitals while Efoulan
had the least respondents 6 (30%). Furthermore,therewere
a number of respondents 26 (28.26%) who said they had no
pharmacovigilance system in their hospitals and 19
(20.65%) who did not even know if there was a
pharmacovigilance system or not. This study can be
compared to a similar study in India by Dhananjay and
Esanakula (2003) where a cross-sectional studywascarried
out on the knowledge, attitude and practices on100medical
students geared towards pharmacovigilance. Nearly 87%
participants had heard about pharmacovigilance, but only
65% knew its need or purpose. 88% people felt that ADR
will increase patient safety.
The smaller percentage of knowledge on the existence of
pharmacovigilance in our study could be due to the fact that
our health system hasn’t made enough emphasis on the
presence of a pharmacovigilance system which is a very
important aspect in the field of health. This is a pertinent
issue as the adverse reactions differ among individuals and
could be a basis for the acceptance or refusal of a particular
drug.
In the Nkolbisson district all 28 (100%) respondents
admitted that pregnant women received ITNs freeofcharge,
while Biyem-Assi had the least respondents 12 (60%). Also,
Nkolbisson had the most respondents who admitted that
pregnant women receivedIPTp,28(100%)and26(92.86%)
admitted they received them free of charge while Efoulan
had the least respondents 16 (80%) and 15 (75%)
respectively. As concerns the number of antenatal visits
recommended in pregnancy, 34 (80.95%) respondents who
had received training correctly identified 4 visits while 38
(76%) of those who did not participateinthetrainingrightly
identified same. There was no statistical significance
between the two groups (P=0.86). This canbecompared toa
survey carried out in Uganda by Kiwuwa Ms and Mufubenga
P (2008) among postpartum women who were asked to
identify the number of antenatal visits they had, if they
received IPTp and ITNs and from the results, of the 88% of
pregnant women who had made more than 1 prenatal visit,
we noticed that only 31% of them used a bed net during
pregnancy and only 36% had received 2 doses of IPTp- SP.
The higher percentages of performance among trained
participantsin a particular district in our study could be
explained by the fact that the training in the given district
was more intense or much more understood and practiced.
Futhermore, it could be said that Nkolbisson is a district
away from town compared to others and thus couldbemore
conservative and respectedtherulesbetterthanthosecloser
to the town who could be influenced by malpractices.
In identifying the 1st line treatment of simple malaria, 26
(61.9%) respondents who had received training correctly
identified the treatment which is ASAQ while 18 (36%) of
those who did not participate in the training rightly
identified the same. There was a statistical significance
between the two groups (P=0.01) thus we reject the null
hypothesis.
Similarly, for the 2nd line treatment of simple malaria, 30
(71.43%) respondents who had received training correctly
identified the treatment which is AL while 21(42%)ofthose
who did not participate in the training rightly identified the
same sign and there was also a statistical significance
between the two groups (P=0.02). It was observed that the
highest district that experienced drug stock out of malaria
commodities was Cite Verte 18 (75%) and the least was in
Biyem Assi 12 (50%). It is worth noting that of all the
malaria medications, RDTs happen to be the mostly out of
stock 25 (21.55%) followed by the injectable artesunate 23
(19.83%) while the least was SP 6 (5.17%). The
unavailability of this drug can be compared to a study
carried out in Timor-Leste by João Soares Martinset al
(2012) whereby untimely supply of AL and RDTs and the
availability of SP prompted the return to former treatment.
The lack of respect of guidelines in our study can be
explained too by the unavailability of malaria medications.
This can be as a result of poor stock management,
unavailability of drugs at the level of suppliers as well as the
practice of old prescription habits.
Conclusion
1. There was a good level of knowledge of the components
of the training program among those who were trained.

2. There was a higher level of knowledge on malaria
diagnosis and treatment for those who were trained
compared to those who were not trained, while those
who were not trained had a higher knowledge on
malaria prevention.
3. Not all the practices in malaria case management were
carried out as per the national guidelines.
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