A school- based intervention for improving malaria-related knowledge and practices in Province, : A Randomised controlled Trial

Town

Cape of

MMed candidate Maria Jose Pires Machai PRSMAR014

Division of Clinical Pharmacology UniversityDepartment of Medicine Faculty of Health Science University of Cape Town (UCT)

Supervisors: Professor Karen I Barnes: Division of Clinical Pharmacology, UCT Associate Professor Marc Blockman: Division of Clinical Pharmacology, UCT The copyright of this thesis vests in the author. No quotation from it or information derived from it is to be published without full acknowledgement of the source. The thesis is to be used for private study or non- commercial research purposes only.

Published by the University of Cape Town (UCT) in terms of the non-exclusive license granted to UCT by the author.

University of Cape Town I, on is

or in manner

5

University of Cape Town

2 ·...... 2

rnnITCU"lIT<> .. ~ ~ .. ~ ~. ~ ~.,.. ~. ~ ... ., $"" ~ ~ .. ~ ~ .. # ..... ~ ..... ~ ... ~." •• ". ~ ~ .... * .. ~ .. " ~ ... ~",. ~ ... ~ ...... ~ .... ~ .... " ... " ...... ~ .. ~,,~ .. ~ •• ,. ~ *. _..... ~ .• ,.,. 3

...... 4

...... 5

...... 6

1"'\<:''1' ••'''1'''1' ...... 7

1.

Town

Cape of

University

3 6

Town

Cape of

University

4 in

A

success

Town

Cape of

Universityon career in

5 ......

Town

Cape of

University

6 was to a

to at in

A to a

Town

6 7 10"" ..... '" ..'" in in Cape as of

or,

University

..

It

as as in

7 .. was to in were

were

as as

t.::",,..r,,::.. ·., were Town

Cape of in

University more

a

VS. 11

8 was a in

VS. 1/11

more

score was in 8

VS. 6 ] .

was a ,rn,'Wi"I'1I0,'nOlnr in Town

VS. 1 Cape of

University in

in 5 vS.4

not in

VS.

9 no was some ,,,,nn,,,ru in in

use

4 1

,cnn""ru in in a Town

to 1 Cape of

JU, ,<- ... u (1 to ].

Universitywas 1 or was to if was

10 A

a

in on we were can as ",,...,on1"::'

Town

Cape of

University

11 1.

to 1J";;"'"'cu,,,,,,, most are unaware

care, resources. an cases et al

are in a Town in

are in Cape al of

al

Universityan al

was rcr'cr'Tnl

to treatments as course. is cause

18

a (11 1 Town were

Cape of

is to

University

13 Districts of ) Boane Under Malaria Control Within Magude I the Lubom bo Spatial I Marracuene ~ Developm ent Initiative i Matola Matutuine Moamba Magude Z 0 n e 3

Kruger National MOZAMBIQUE Park

Moamba

SOUTH AFRICA ,------Z 0 n e 2 Town -----Zone 1 A

aJl---Z 0 n e 2 A Cape

of Zone 1

SWAZILAND II /I Matutuine N

• 40 20 kilometers ------Figure 1: Geographic location of Mozambique (Source: Medical Research Council Malaria Lead UniversityProgramme, Durban, )

2.2 Malaria Control

Communities are expected to benefit most from effective treatment if this is implemented together with an effective vector control program using Indoor Residual Insecticide Spraying (IRS) or Insecticide Treated Bed Nets (ITNs) (Raman et al 2008, Dike et al 2006). Great benefit is seen with Artemisinin based Combination Therapies (ACTs) as these directly reduce malaria transmission by reducing gametocytes (the stage of the P. falciparum lifecycle responsible for malaria transmission).

14 a to

as soon as

in

);

in Townit

Cape ofon

, ... , ~u, ... rates

University

too 1

as is is

15 in

on I or

Town

Cape of were in

to University were was some success al were some concerns it is too

5

16 was was

were not aware new

were were

it as soon as Town are not course. Cape of

a

.. University access to ) . ..

..

In in women, a

17 an own et al

II on

al al

Town

Cape of

University

18 1 : 6

Town

Cape of

University

19 a

a

as

Town

were Capeas of 1. score.

University 4. Study sites

The study was conducted in Namaacha and Matutuine districts in Maputo Province (figure 1), the first districts in which IRS was implemented in November 2000 and followed by definitive malaria diagnosis using rapid diagnostic tests in 2003, and the introduction of the artesunate plus SP combination in 2004. As a combined result of these interventions, there has been a marked reduction of malaria prevalence from over 60% in 1999 / 2000, to below 10% since 2004, with a prevalence of only 1.9% observed in June 2007(Sharp et al 2007) (Zone 1 in Figure 2). These two districts were purposively selected to be representative of rural areas of Maputo Province where highly effective malaria control has been achieved. It was expected that, as the burden of malaria decreases, the community may become less likely to accept IRS, seek treatment early and adhere fully with treatment. Town

Figure 2: Annual cross sectional prevalence of Plasmodium falciparum parasitaemia

100 Cape 90 of 80

70

60 -+-Zone 1 ---- Zone lA 50 i-----~---"\.-- ,.,::;....~--"«. Zone 2A ...... Zone 2 ___ Zone 3 40 +------~~~~-~~-~>--~~------

20

10 University

1999 2000 2001 2002 2003 2004 2005 2006 2007 Year Source: LSDI progress report 2007

4.1 Matutufne

Matutuine is a rural district (rate of urbanization 7%) with about 37000 inhabitants, located in the South-eastern extreme of Maputo Province (Instituto Nacional de Estatistica, 2007) (figure3). Thirty nine percent of the population is younger than 15 years of age. Matutufne is one of the poorest districts in Maputo Province, where

21 is source

is

are 17

are Town

Cape of

University Figure 3: Geographic location of Namaacha and Matutufne districts and LSDI zones in Maputo Province, southern Mozambique.

Schools sunreyed In the malaria control education interwntion study in Matutuine and Namaacha DIstricts

Maputo Province Southern Mozambique

Legend Namaacha Districts Schools M8tutuine Districts Schools o Control Schools o Intervention Schools CJ District Boundaries c=J Internetlonal Boundaries Town

DOI·bula ,

Cape . of

tulip produoed by the He:atth OI S Cenlr~ . ~ioal Rtsearoh Council 01 South .Afriaa, 2008. [)ail SOUrcIS: EnmlsttcJ Oeogr1lflc •• MA C SA

Data source: Medical Research Council Malaria Lead Program, Durban, South Africa University

4.2 Namaacha District

Namaacha is also classified as a rural district, although the level of urbanization 28% is higher than the 7% in Matutiune. Namaacha has a population of about 42,000 inhabitants located in south-western Maputo Province (Figure3). Approximately 40% of the population is below 15 years of age (Instituto Nacional de Estafstica 2007). The majority of the Namaacha population belongs to the Ronga and Swazi ethnic groups. The dominant language is Xichangana, although 63% speak Portuguese (Ministerio de Administrag8.o Estatal, 2005).

23 13 are 10

is

is one in is source in commerce commerce, Town

Cape of

University A was

6 7 in

Town in in Capea of were

in

University in scores,

were 5 in

a was at

In names 6 in

were in

if were it was Town

in rn"Trl" arms Cape of

University

in a was

to was in 6 were

were If no one was on was

same

in Town

Cape of

in University

consent was a

UUr',1'1''::,1''\ assent was nIlF"\lIIi::or..: were sel!eerea 3 reasons.

in areas; in

A course was to in

in

Town

errors Cape of

was in 3 rnnr"", (1 in in University

in a

"' ...... 'n""" were seliectea

were The purpose of the pilot study was to refine the questionnaire, further develop the interview experience of data collectors and to delineate strategies for conducting the main study. In addition, the draft teaching material and methods that had been developed in coordination with the Ministry of education were piloted by the teachers and scholars in the pilot schools. The teaching manual contained information about how to prevent malaria (particularly the importance of IRS), when to suspect the disease, the current treatment, importance of prompt treatment seeking and full adherence with treatment. Feedback from teachers and scholars in the pilot study was used to refine the training program and edit the teaching manual and exercise books.

One of the main findings in the pilot study was that all drugs were called "quinine".Town To ensure a more accurate understanding of what drugs were currently used for malaria treatment, a chart with antimalarial and other tablets and packaging was made for respondentsCape to pOint out which one was recommendedof for malaria treatment (Figure 4).

Figure 4: Study chart of tablets and packaging

5.9 Study questionnairesUniversity The main study consisted of the pre-intervention and post-intervention questionnaires administered to all consenting teachers and scholars, and a survey conducted in 30 households randomly selected from each of the communities surrounding the participating 10 schools.

The content of the questionnaire was informed by findings from the LSDI KAP surveys and SEACAT evaluation focus group discussions and household surveys,

29 as as on were.

were

.. ""~,",r·rI"'.rI in

in

o Town

Cape of some

University

Stakeholders included Director of the National Malaria Control Provincial Director of members of the Malaria Control

VVHHl'lU""Y Leaders. Figure 5: Teachers' problem-based training workshop

After the training course, teachers taught scholars about malaria by integrating malaria education within the other subjects taught. Examples included: Drawing pictures (Figure 6) and singing songs or school theatre about malaria; Sending messages about malaria prevention and treatment from scholars to the community members; Teachers giving talks to other teachers and to the parentsTown during meetings at school as well as giving talks to the communities; and Environmental cleaning campaigns held in the schools and surrounding community to destroy the mosquito breedingCape sites. of

University

Figure 6: Examples of the scholars' drawings about malaria

31 were

A was

were

to Town

cover Cape of

University were were

or Figure 7: Examples of the Information, Education and Communication material developed

5.11 Data management and analysis

The data were coded and entered by two independent data punchers into a specifically designed Microsoft Access 2004 database, whereTown the data was cleaned by the MMed candidate. The cleaned database was exported via Microsoft Excel into Stata 10 (StataCorp LP, College Station, Texas, USA) for analysis. Cape To analyze the overall change in knowledgeof and practices related to malaria, the pre-intervention and post-intervention total questionnaire scores were compared. Scoring was based on selecting key questions (indicated in Appendixes 1,2 and 3) for which the true answers score = 1, the false=O and for responding that the time to seeking treatment.::;1 day score =2, for 2 days score =1; for >2 days score = O. Those who did not answer the questions, or whose reply was "I don't know" or was irrelevant, also scored 0 for that question. The maximum score achievable was 11 for the teachersUniversity and 10 for scholars and community members. Teachers were asked an additional question to define features of severe malaria.

The statistical tests performed for comparison between the intervention and control groups, were the chi-squared (x2) test for categorical variables and Student's two sample t-test for normally distributed continuous variables and the Kruskall Wallis test for non-parametric continuous variables. A 2x2 table was used to compare the Odd ratios between the pre- and post- intervention study.

33 6. Results

6.1 Study subjects

The study was conducted in ten Grade 6 primary schools in Maputo Province (5 intervention and 5 control schools). None of these schools had a malaria education program established, although health promotion (related to diarrhea, dental health, anaemia, worms and nutrition) is generally part of the school curriculum. During screening for the pre-intervention study, there were 38 teachers, 659 grade 6 scholars from the ten selected schools and 297 household members from their surrounding communities found to be eligible. Of these, 38 (100%), 654 (99.2%) and 294 (99%) respectively participated in the pre-intervention study, with 5 scholars and 3 household members not giving assent or consent to be interviewed.

Figure 8: Disposition of study subjects Town

Cape

Scholarsof (n=654)

Teachers: Scholars: Community: Intervention (n=24) Intervention (n=414) Intervention (n= 138) Control (n=14) Controls (n=240) Controls (n=156)

University

Teachers: Scholars: Community: Intervention (n=14) Intervention (n=363) Intervention (n= 153) Control (n=11) Controls (n=192) Controls (n=95)

From the subjects enrolled in the pre-intervention study, 555 (85%) of the scholars and 247 (84%) of the household members completed the post-intervention questionnaire. It is of concern that there were more household members in the intervention group (110%), while there were fewer in the control group (61 %), participating in the post-intervention survey than the pre-intervention survey.

34 reasons two

was

Town

Cape of

University

a 14 in in a area.

to a were consent in in were f'nnitrnl arms. a were

In most

not or

severe or current treatment Town

3: at Cape of

University Town

Cape of

were in more in University in 4 ] .

In a or onset.

Town

Cape of

University in

.. %) VS .

in

nets were Town

Cape of

5

University Town

Cape of

In was some in University .. 1 4

.. 4

.. 4 %) 1 in

.. [11/14 ]. ..

VS. 1/11

4 Town

.. were more Cape 4 VS. 1 ]. of

treatment. University [11/11(1 VS. 1 4

on .. can 1

.. (1 ] .

score was n,r,n",... vS.4 nrr\"jQ.nn,:o.nf in

"

Town .. is a Cape arm .. of

..

treatment was University

] . ..

was a

[1 vs. 1 7: on

Town

Cape of

University a

more in

were in

measures was Town 1

Cape 8: onof

University Town

Cape of

so 1 were so as as University

in

same as more

in was same as was car

as as a

Details

lEe material Town

Teacher's Cape of

University

Prizes

so were not cost was was if was 1

as assessment in a

was

Town

Costs per Cape student of

University

48 A even awareness on awareness

a

was to Town

were Cape of was as access is

University are

" not in "',,..,,"",,,,'" are

" in ..

not to Town " in

Cape to a of in

University

.. were

as it

in an on

.. I so our

not to

or

sex was

"In Town

Cape a of •

in our commentUniversity on

"If

no was rOI"r.rrlorl so it was not

51 in

..

or on more or were

"In one

in is no reason to our

Town

Cape of

University was n:;:or'""r'TI\I

to course

Town in

Cape of

our

ru<:;,nTI,nn more as as University as

reasons to

Town more

Cape in of in it is

University

as

use. 1 were more in et al (1 to as as

as a measure

Town was Cape of

al

in University as in

was our were a

a

were

our Town was 10

In our Cape of

University if in in our in

a ",rr,nr,,_

in an area

in

in can as Town

Cape

of were more as was

University to

are a reasons our to an

a et ai,

a course

course

on were or in Town or

Cape one as of was 2

in to University

assessment was 14

In in our was in a so

58 to

to A a overcome in

in et al1

In our was not rCr';,c<:!'tCI"I in Town

cost Cape was of

ensure an as a University to a as measures was et concern as if

if 1£ .... ,,,,,.,1,,,,,1,..,,,, are measures, in nn',AII,,'nng are A in a is

It is

was not a

in

Town

Cape of

University a in

a in in some was in

as a awareness

as a

in

even Town

Cape of it was suaa,es1tea

University A SCI10[}I-[)aS;eo

access

in ..... T.O,"",,,,,,.,,T',..,."

Town

Cape of

University 10

in

6

Town

Cape of in

University

in

in as &

on

Town J

Cape J, of in J

University &

J access to

on ",,..n,,,n, Town 1

Cape of

University