Methods and materials
Study design and setting
A mixed-method, cross-sectional study design was employed to assess the households’ knowledge and perception of AKI in the southern region of The Gambia. Our study incorporates both quantitative and qualitative data. To identify the communities most affected by AKI, we used the most recent situation report from the EDC detailing the distribution of AKI cases by districts.
The Gambia is among the smallest countries in West Africa; it has an estimated population of about 2 million, a land size of 11 000 km2 and the country is divided into two equal halves (North and South) by the river Gambia.9 The country is further divided into eight local government administrative areas (LGAs), and this study was conducted in four LGAs: Brikama, Mansakonko, Janjanbureh and Basse.
The study participants included community residents who had lived for more than 6 months preceding the study, attained age 18 years and above, and consented to participate. Non-residents and guests were excluded from the study. The outcome variable of the study was knowledge and perception of AKI in The Gambia. The explanatory variables included sociodemographic variables such as age, gender, ethnicity, education level, occupation and income.
Data collection
Data were collected via a combination of face-to-face interviews using structured questionnaires, focus group discussions (FGD) and key informant interviews (KII). The structured questionnaire served as a means for gathering quantitative data, encompassing socio-demographic variables such as age, gender, marital status, educational level, family type, monthly income, number of children less than 5 years, occupation, sources of drinking water and experience flooding in the last rainy season. The knowledge section included knowledge about AKI, sources of information, signs and symptoms, knowledge on AKI health seeking, diagnosis, treatment and transmission. The perception part included the existence of AKI in The Gambia, causes of AKI, treatment of AKI by traditional medicines, linkage of AKI to weak drug regulations, perception of healthcare service satisfaction and whether AKI was politically motivated.
The structured questionnaire was adopted from studies conducted in sub-Saharan Africa10–15 and standardised to the local context of AKI injury in The Gambia. The structured questionnaires were pretested among Gambia College students at the Brikama campus to ensure reliability and validity. We then ran a reliability test and calibrated the tool to have a Cronbach alpha score of 0.82, which is above the usual threshold of 0.70. The structured questionnaires were deployed on the KoboToolbox, which is a common Open Data Kits (ODK) for researchers in developing countries.
In the qualitative phase, we conducted twelve FGDs with specific cohorts; including three cohorts of teachers and traditional healers, two cohorts of students, traditional communicators and healthcare workers, respectively. Each FGD cohort was homogenous, with specific characteristics depicting their involvement in the discussion. Similarly, we conducted eight KIIs with three healthcare administrators, three community leaders (Alkalos) and two youth leaders. These discussions and interviews were centred around their understanding of AKI, the impact of the outbreak on healthcare service delivery and strategies for preventing and controlling such outbreaks in the country.
The entire data collection was carried out by 200 students from the School of Public Health at Gambia College from 5 January to 20 January 2023. The students had 2 days of training on the data collection tools and the interview techniques including translation of key terms into three local languages, namely Mandinka, Fula and Wolof to avoid ambiguity. Before the data collection, consultative meetings were held in December 2022 with regional authorities such as Regional Governors, Local Government Authorities, District Chiefs, and Village Alkalos to inform and seek their consent for the study.
The students used Android phones equipped with the KoboToolbox application, a platform for data gathering. The questionnaires were entered into the KoboToolbox application, thus creating a user-friendly interface for data collection. The questions were deployed in the ODK application, and compulsory questions were marked, which if not answered, the interviewer could not proceed to the next question. An additional unique feature of the application was its ability to capture the geo-coordinates of the communities in different districts, offering additional insights into the study areas. For FGD and KII, voice recorders were used to capture detailed information. This comprehensive approach to data collection allowed us to gain in-depth insights into the community’s knowledge and perceptions of AKI.
Sampling and sample size
We employed a multistage sampling technique to select communities, households and individuals for the interviews. The process was initiated by randomly selecting communities within each LGA boundary proportionate to the effect of AKI outbreak in the Lower River Region—25 communities, West Coast Region—23 communities, Central River Region—35 communities and Upper River Region—40 communities as in figure 1.
Figure 1The map is adapted from the Ministry of Health’s Epidemiology and Disease Control Acute Kidney Injury updates prepared on 14 October 2022. AKI, acute kidney injury.
Additionally, proportionate sampling was used to determine the necessary sample size per community based on the population of each community. At the community level, households were selected randomly using a taxpayer’s list provided by the Alkalo of the local villages. A random number table was generated on the basis of four digits, and selection was done using a blind guess to point to a number. The next three digits were also selected until the required household sample was met. Finally, a simple random sampling method was used to select the respondents from each household. To be eligible for participation, respondents had to be residents of the selected household for at least 6 months and 18 years or older. However, guests and individuals who were sick were excluded from this study.
The estimated minimum sample size was calculated using the Epi Info software V.7.0. Using The Gambia’s projected population of approximately 2 million, we used a 95% CI, a design effect of 0.05 and a precision of 99.9%. This estimation led to a sample size of 2000 respondents from selected households in AKI-affected districts across enumeration areas. With incomplete records and a non-response rate of 8.7%, we then recruited and interviewed 2174 respondents.
Statistical analysis
Before data analysis, the questionnaires were checked for completeness, entry errors and missingness by data collectors and supervisors during data collection. The data was then exported to Microsoft Excel for further checking and cleaning and imported to the Statistical Package for Social Sciences (SPSS) for analysis. Data were analysed using the IBM statistical package SPSS V.26.0.
Quantitative data were analysed and displayed as frequencies and percentages for categorical variables, whereas continuous variables were summarised using mean and range. To identify statistical associations, we employed bivariate analysis and multivariable logistic regression; thus, the significance level was set at p valve<0.05.
Qualitative data were analysed using NVivo software V.14. The authors translated and transcribed the original recorded versions of the discussions in local languages into English, leveraging their fluency in different local languages. The translated responses were then grouped into thematic areas for further analysis.
In this study, the AKI outbreak in The Gambia refers to an abrupt decrease in kidney function, which encompasses both injury (structural damage) and impairment (loss of function), affecting Gambia children alleged to be associated with the consumption of contaminated paediatric syrup. Respondents’ knowledge was assessed based on a set of nine questions. Part of the question items on knowledge was if they had ‘heard of the current AKI outbreak among children in The Gambia’. Responses were aggregated and classified into good, average and poor knowledge categories. Each response was dichotomised, with a ‘yes’ response scored as 1 and a ‘no’ response scored as 0. Composite knowledge scores were then calculated and grouped into poor, fair and good knowledge categories, corresponding to the 33rd, 66th and 99th percentiles. The respondents’ perception was evaluated using a 12-question Likert scale, ranging from 1 to 5 points; ‘strongly agree’ was scored as 5, ‘agree’ as 4, ‘undecided’ as 3, ‘disagree’ as 2 and ‘strongly disagree’ as 1. Perceptions were categorised into low, medium and high groups, corresponding to the 33rd, 66th and 99th percentiles, respectively.
Patient and public involvement
Consultative meetings were held at regional government levels (governors’ office, regional health directorates and regional education directorates) to inform and obtain consent for the study to be conducted in their respective regions.