Data gathered through the administering of questionnaires and unbiased observation of the 2021 SMC campaign in Mabiri, Kalikumbi and Mharaunda rural areas were used to perform this study (Oppenheim, 1992). Monitoring is a process done separately from campaign execution to determine the intervention's household coverage, which was done by a lead researcher with the assistance of enumerators mainly senior HSAs within Mabiri, Kalikumbi and Mharaunda health centres under Synod of Livingstonia Health Department.
Study Setting
Malaria is the main cause of health problems in Mzimba (Socio-Economic Profile, 2017). The incidence is increasing annually despite a wide range of interventions. It is followed by pneumonia and diarrhoea, and their incidence is also increasing. These diseases contribute to high infant and under-five mortality rates (Socio-Economic Profile, 2017). In Mzimba district, specifically Mabiri, Kalikumbi and Mharaunda, malaria continues to play a substantial role in child mortality. With an annual illness incidence ranging between 230 and 300 cases per 1000 people, the 3 synod health centres that make up the health region are all situated in the moderate transmission area or short seasonal transmission area (less than 3 months) (Socio-Economic Profile, 2017). Malaria is still the most common cause of hospital visits and the main cause of death in Mzimba, accounting for 167,822 cases (Socio-Economic Profile, 2017). In 2016, the mortality rate from malaria in children under the age of five was 52%. Mzimba district has been running annual SMC campaigns since 2013. From the main health facilities in 2013 to all health facilities including health centres under the Christian Health Association of Malawi (CHAM) 2020, the implementation has grown. The target population for the intervention in 2021 was 23,000 children aged 3-59 months. Nearly 80% of the kids in the intervention districts have received SMC since 2013 when the intervention program began. Malaria incidence in health centres, however, continued to be high. As a result, concerns were expressed over the effectiveness of SMC in the area. It was proposed as a potential reason for the persistently high prevalence of malaria because of the caregivers' poor adherence to the entire 3-day course of drugs.
Table 1: Trends in morbidity.
Cases / Period
|
2013
|
2014
|
2015
|
2016
|
Malaria
|
83,236
|
106,587
|
114,288
|
167,822
|
Pneumonia
|
18,139
|
19,648
|
16,845
|
13,592
|
Diarrhoea
|
11,617
|
13,142
|
11,537
|
12,838
|
Oral Condition
|
21,568
|
21,995
|
21,447
|
21,706
|
Skin Infection
|
14,070
|
19,621
|
19,944
|
19,458
|
Eye Infection
|
7,398
|
8,027
|
7,117
|
7,034
|
STI
|
5,610
|
6,173
|
8,215
|
9,705
|
Wounds
|
15,799
|
14,261
|
15,110
|
12,838
|
Ear Infections
|
2,745
|
3,127
|
4,023
|
4,859
|
Dysentery
|
2,253
|
4,178
|
3,620
|
2,972
|
Malnutrition
|
1,156
|
1,434
|
1,839
|
3,431
|
Syphilis in Pregnancy
|
23
|
44
|
18
|
60
|
Source: SEP, 2017.
Table 2: Mortality trends.
Child Mortality Indicators
|
2000
|
2004
|
2008
|
2010
|
2016
|
Under-five mortality / 1,000 live births
|
189
|
133
|
124
|
110
|
52
|
Infant Mortality / 1,000 live births
|
104
|
76
|
78
|
85
|
31
|
Neonatal Mortality / 1,000 live births
|
42
|
27
|
|
49
|
15
|
Child Mortality / 1,000 live births
|
95
|
62
|
|
50
|
22
|
Source: SEP, 2017.
Study Design and Study Population
Study population
Caregivers of children aged 3–59 months in Mabiri, Kalikumbi and Mharaunda were approached and asked to complete the survey.
Choice of sample
During each cycle of the 2021 SMC campaign in Embangweni, 3 health centres was the focus of the independent monitoring, totalling 6 HC for the 3 rounds. Three health areas were chosen at random from a list of the district's health areas (Tabachnick and Fidell, 2001). 8 localities were chosen at random from the list of localities (villages/neighbourhoods) under each health centre to be surveyed. By visiting every other family compound in a locality, 60 family compounds were randomly chosen (note that a family compound includes more than a nuclear family, for example, it can include grandparents, multiple sons with multiple wives and their children, nephews, and younger siblings of spouses). The parents of all eligible youngsters in each chosen family complex were methodically questioned. The surveys ran for three days, beginning on the second day of each cycle. This meant that only questions concerning day 1 could be asked if a child received the first dose on day 3 of the distribution period and researchers visited on that day. Independent monitors went to the family compounds, located the kids who qualified, questioned the parents about the current cycle, and checked that the SMC cards were correctly filled out. In the 8 localities of Mabiri, Kalikumbi and Mharaunda, 8 localities (villages/neighbourhoods) and 60 family compounds were observed during the course of the 3 cycles. During the campaign, each health centre and locality were only observed once; hence, the homes visited after cycle 3 were distinct from those seen after cycle 1. Additionally, the homes that were visited on day 3 were distinct from those that were visited on day 2 of a single cycle. Interviews were conducted with the carers rather than the younger children.
During a single survey, a caregiver could provide information regarding multiple children. No data on the caregiver's age or gender was gathered because this was a program monitoring effort rather than a research project.
The child's sex and general age range (3-11 months and 12-59 months) were gathered. A systematic questionnaire with pre-established response categories was used. The long-used survey instrument in Zambia served as a major inspiration for the creation of the tool. Before being used in the field, it was digitalized in SurveyCTO and evaluated (Pandey. P and Pandey. M, 2018). To prevent the same persons who were distributing or overseeing the distributors from judging their job, the survey monitors were independent of the SMC campaign and were chosen from outside the health sector/health centres involved.
Data Collection
Data Analysis
The project team used cross-sectional and Professor Bernard Vrijens' taxonomy's initial component to analyse the data (Koko et al., 2022). The benefit of this strategy is that it breaks down the adherence process into steps, making it easier to analyse any differences that can affect the intervention. Different levels of adherence may exist during the "adherence to drugs" phase:
- At the beginning of therapy, for instance, the child may refuse to drink the medication or spit it out or vomit it up, or the medication may not be given under the distributor's direct view.
- When a treatment plan is being implemented, caregivers may forget to deliver medication on future days, fail to give medication by the dosage, or simply opt not to give medication for another reason (for example, after minor or major side effects occur or the child refuses to consume the other doses).
The first, second, and third days of the three-day course's medication compliance, as well as an assessment of the caregivers' attitudes and behaviours, served as the indicators for the analysis.
An explanation of the indicators:
- % of target children who received the SP and AQ: the proportion of eligible children who received medication on the first day of the three-day treatment.
- % of the SP administration observed but not administered by the drug distributor: the proportion of eligible children who got medication on the first day of the three-day course while being directly observed.
- % of target children who received medication on day 2 of the three-day treatment, as measured by the proportion of eligible children observed who received medication on that day.
- % of target children who received medicine on day three of the three-day treatment: the proportion of eligible children who received medication on day three of the three-day course.
Take note that the direct observation question was split into two parts: If the youngster received treatment, who gave the initial dose? In a drop-down box, the surveyor was asked to choose between caregiver and HSA. If the response to the first query was caregiver, the next query would appear: Was the HSA present when the caregiver administered the medication, if so?