Keywords
Cholera; Fragility; Multi-sectoral; System dynamic; Group model building; Adamawa; Bauchi; Nigeria
This article is included in the Health Services gateway.
Cholera; Fragility; Multi-sectoral; System dynamic; Group model building; Adamawa; Bauchi; Nigeria
Despite the possible underestimation due to limited surveillance and reluctance to report cases for economic reasons, approximately 2.9 million cholera cases and 95,000 cholera-related deaths are recorded annually worldwide1. These occur predominantly in 47 endemic countries2. Notably, since 2017, the inequitable burden of cholera has continued to increase, with the poorest and most vulnerable populations in fragile settings with inadequate portable water, sanitation and hygiene most at risk3. Cholera elimination as a target, sits across the United Nation’s (UN) Sustainable Development Goals (SDG) agenda4, given its roots in inequity, poverty, environmental threats and conflict. This is because public health measures targeting cholera have an explicit implication for water-related diseases within SDG3 (ensuring healthy lives and promoting wellbeing for all) and an implicit implication for tracking progress towards achieving SDG6 –universal and equitable access to safe and affordable drinking water, and access to adequate and equitable sanitation and hygiene for all. Additionally, cholera transmission is an important motivation for the development of the 1952 World Health Organization’s (WHO) International Sanitary Regulations5, given its capacity to impact global health security and economic growth6.
While substantial progress has been made towards cholera control in the SDG era, a combination of climate change, natural and man-made disasters, and rapid unplanned urbanisation continue to support transmission7. The WHO’s Global Task Force on Cholera Control (GTFCC), revitalised in 2014, is a network of more than 50 partners with this global mandate2. In 2017, it launched and adopted the ‘Ending Cholera: A Global Roadmap to 2030’ strategy. Unlike the previous approach to cholera outbreaks, which was more reactive and short-term, this strategy sets out a long-term plan for cholera elimination for 20 of the 47 endemic countries, with the target of 90% reduction in cholera-related deaths by 20302.
The attainment of these goals hinges upon six interventions: water, sanitation and hygiene (WASH); surveillance and reporting; use of oral cholera vaccine (OCV); healthcare system strengthening; leadership and coordination; and community engagement and empowerment. According to the joint WHO and UN Children’s Fund (UNICEF) updated estimates for WASH in households in 2017, 8 out of 10 people in rural areas in sub-Saharan Africa still lacked basic drinking water; 7 out of 10 lacked basic sanitation services; and 3 billion people lacked basic handwashing facilities at home8. These conditions are drivers of recurrent cholera transmission, especially given that WASH interventions are often reactive during cholera outbreaks in many cholera endemic settings9. An analysis of the global use of OCV stockpile from inception in July 2013 to the end of 2018 noted challenges relating to timeliness of response to cholera outbreaks and contextualisation of strategies for OCV delivery10; a significant improvement in vaccine acceptance and safety was however noted. Additionally, existing government's surveillance systems can become weakened due to limited access to conflict areas, contributing to delayed notification and under-estimation of cholera cases and poor implementation of appropriate public health measures11.
Cholera endemic countries are required to contextualise and implement the GTFCC strategic roadmap; however a significant constraint—and a possible source of reversal to current gains—is fragility. This can be the result of violence and prolonged conflict, political and economic instability, marginalisation and inequality, weak and distorted national governance structures and processes, and significant environmental threats and natural disasters12. Fragility can impact public health by limiting a population’s capacity to respond and adapt to stressors and shocks, such as a disease outbreak in a humanitarian setting. A 2020 WHO report indicates a decrease in progress towards cholera control, with nearly double the number of cholera cases during 2019 (923,037) than 2018 (499,447); the number of cholera-related deaths however decreased by 36% (from 2,990 in 2018 to 1,911 in 2019)13. Notably, 93% of cases in 2019 were from Yemen, a country that has become extremely fragile by recurrent armed conflicts with frequent, widespread cuts in water supplies13. A similar trend was also noted in Mozambique, where—amidst successive cyclones with heavy rains and population displacement in 2019—over 7,000 cholera cases was recorded in comparison to 910 cases in the previous year13.
In Nigeria, the burden of diarrhoeagenic diseases is extremely high, having the second highest total of under-5 child deaths from pneumonia and diarrhoea in the world14. Nigeria has witnessed two major cholera outbreaks in recent years, with over 40,000 cases and 1,716 deaths in 201015 and approximately 50,000 cases and 850 deaths in 201816. The country is currently classified as a cholera high-burden country17, with 83 local government areas (LGAs) in 14 states determined as cholera ‘hotspots’. Notably, over half of these cholera hotspot LGAs are located in the north-east region of the country including Borno, Adamawa and Yobe States, where Boko Haram insurgency activities are predominant18. Boko Haram insurgency activities are often characterised by the disruption of WASH services, displacement of populations to overcrowded camps, and emigration of health workers to safer areas19. It is therefore no surprise that the highest cholera prevalence and case fatality ratio during the outbreak of cholera in Nigeria in 2018 were recorded by north-eastern states16.
While reiterating the difficulty of addressing disease outbreaks in the context of fragility, the concentration of cholera burden in the north-east region of Nigeria suggests suboptimal control strategies, particularly with the implementation of existing multi-sectoral cholera interventions. Previous responses to cholera outbreaks in north-east Nigeria have been hampered by inadequate training of healthcare workers, limited supply of emergency response kits and personal protective equipment20, and poor diagnostic capacity and community misconceptions towards WASH and OCV interventions (with consequent reluctance to accept these interventions)21. Furthermore, recurrent transmission of cholera in the region is further compounded by the influx of reactive humanitarian responses which often set up reactive and parallel interventions, without long-term goals in mind22. Thus, given the fragility and cholera endemicity in this region, attaining the global roadmap strategic goals by 2030 in Nigeria will be challenging.
To improve the likelihood of success, it is important to engage all stakeholders to develop a context-specific understanding, and adopt a whole system perspective of the dynamic interactions between health system capacity to support cholera progammes. Furthermore, it is crucial to identify local facilitators and barriers to the implementation of multi-sectoral cholera interventions, and to explore leverage points for interventions and collaboration across stakeholder groups. The systems modelling methodology of group model building (GMB), is an established methodology for engaging stakeholders to gain mutual understanding of complex problems. GMB works with stakeholders to deeply and actively involve them in the process of model construction through exchange, assimilation, and integration of mental models into a holistic system description23. This methodological approach seeks to understand the non-linear behaviour of complex systems over time, recognising the value of engaging all the relevant stakeholders directly, with a view to generate findings that are locally relevant and implementable24,25. To the best of our knowledge, there is a dearth of evidence on the use of GMB approaches to address cholera both in Nigeria and elsewhere. Therefore, the overarching aim of this study is to collaboratively work with cholera stakeholders to examine the factors enabling and blocking sustained implementation of multi-sectoral cholera interventions in the Adamawa and Bauchi states, with a view to addressing recurrent cholera transmission and inform the development of a locally adapted roadmap for Nigeria.
The study’s specific objectives are:
1. To describe current health system capacity to support WASH, OCV, case management and surveillance, and current policy, governance and community engagement structures for cholera action.
2. To describe barriers and facilitators for the implementation of multi-sectoral cholera interventions.
3. To identify potential opportunities in the existing multi-sectoral cholera interventions for strengthening multi-sectorial collaboration.
This study will utilise a mixed-methods design, conducted in two phases. The first phase will use a cross-sectional descriptive design to address objective 1, and a qualitative study design using key informant interviews, underpinned by the social constructionism philosophical worldview, to address objective 2. The second phase (for objectives 2 and 3) will utilise a GMB approach, underpinned by community-based participatory theoretical framework26. This will identify the dynamic interactions between health system capacity to support cholera progammes and local and national barriers and facilitators for implementing multi-sectoral cholera interventions; and identify leverage points (potential opportunities) for interventions and collaboration across stakeholder groups. GMB introduces social dynamics, which can affect the quality of model, buy-in from stakeholders, and ultimately the likelihood that recommendations from the model will be accepted and implemented by stakehoders. It also provides the opportunity for stakeholders to share their mental models on cholera and adjust their mental models as they learn from other stakeholders through moderated participatory engagement.
Nigeria is made up of 36 states and the Federal Capital Territory (Abuja), with each state further disaggregated into several LGAs (there are 774 LGAs in Nigeria). The study will be conducted in Adamawa and Bauchi states, in north-eastern Nigeria (Figure 1). These states were selected because they were among the most affected states during the cholera outbreak in Nigeria in 201816. Adamawa has some LGAs that have been directly affected by Boko Haram insurgency while Bauchi has some of its LGAs serving as host communities to persons displaced from Boko Haram affected states of Adamawa, Borno and Yobe. Adamawa state has its capital city in Yola and has an estimated population of 4.7 million people across 24 LGAs27. Bauchi state has its capital in Bauchi and has an estimated population of 7.5 million people across 20 LGAs27. The estimated number of primary, secondary and tertiary health facilities per 100,000 persons in Adamawa is 24.70, 0.69 and 0.03 respectively; 16.40, 0.36 and 0.03 in Bauchi28. In addition to Adamawa and Bauchi, we will also conduct both key informant interviews and GMB in Abuja in order to capture the perspectives of national cholera stakeholders.
Phase 1: Quantitative cross-sectional study
Preparations for data collection
A minimum of three research assistants per state will be recruited and trained for data collection, as well as taking informed consent and adhering to ethical practices. Data collection tools will be updated following piloting with healthcare workers in a purposely selected health facility in Abuja to determine completeness, clarity and accuracy. Data collection will be done using Open Data Kit (ODK) Collect installed on password-protected mobile devices.
Sampling
Based on pragmatic considerations (e.g. cost and time), we will adopt a purposive stratified sampling approach to recruit 20 rural and 30 urban health facilities in each state (n=100), with a history of confirmed cholera cases during the 2018 outbreak. Only health facilities (government- and private-owned primary, secondary or tertiary) considered functional by the state health authority will be eligible for selection into the study. The selection of contrasting LGAs (urban vs rural) is due to the dependence of cholera attack and case fatality rates on setting type in Nigeria, with higher values in urban than in rural areas16. Convenience sampling of healthcare workers of various professional cadres present on the day of the survey will be done.
Data collection
In determining the health system’s capacity to support multi-sectoral cholera interventions in both the Adamawa and Bauchi states, we will adapt the WASH health care facility core indicators29 and the WHO Service Availability and Readiness Assessment tool30. The trained research assistants will spend 1–2 days at each selected health facility. They will administer a structured questionnaire with the manager or administrative head regarding the current health system’s capacity to support various cholera interventions (e.g. WASH, OCV, surveillance etc.). Additionally, the research assistants will administer a questionnaire on cholera case management and knowledge with a convenience sample of five healthcare workers who meet predefined eligibility criteria—i.e. willingness to participate in the study and to sign an informed consent form—on the day of health facility survey. Prior to the survey, information about the proposed study will be communicated to healthcare workers via a formal letter to the facility manager or administrator. When possible, the research assistants will also perform discrete observations to objectively ascertain the presence of cholera interventions. In terms of duration, data collection will be completed within six weeks of the study start date. The study materials and consent form can be found as extended data31.
Data analyses
The current health system capacity to support various cholera interventions will be determined using descriptive analyses. Continuous variables will be described using mean and standard deviation for normally distributed variables, median (IQR) for non-normal continuous variables, and frequency and percentages (%) for categorical or binary variables. The status of a cholera intervention will be described by calculating its available indicators divided by the total number of indicators. Analyses will be stratified by state, study setting (urban vs rural) and health facility type. The responses on knowledge will be scored as ‘1’ while other responses, such as ‘incorrect’ or ‘don’t know’, will be scored as ‘0’ (zero). The scores will be added to obtain a total score for each study participant and a median score will then be calculated. High knowledge score will be defined as a total score ≥median score and low knowledge score as a score <median score. Factors (e.g. cadre, state, training, recent case management experience etc.) potentially associated with knowledge will be explored using multivariable logistic regression. The findings will be presented as adjusted odds ratios with 95% confidence intervals. A p-value of <0.05 will be considered statistically significant. All analyses will be performed using Stata version 13 (StataCorp, College Texas).
Phase 1: Qualitative study
Study participants
Three groups of participants (see Table 1 for their distribution by location) will be purposely recruited for the key informant interviews (KIIs). Participants will include:
Participants | Adamawa (~20) | Bauchi (~20) | Abuja (~20) | ||
---|---|---|---|---|---|
Rural | Urban | Rural | Urban | ||
Community members | 5 | 5 | 5 | 5 | NA |
Healthcare providers | 5 | 5 | 5 | 5 | NA |
National public health stakeholders | NA | NA | NA | NA | 20 |
At the state level:
Community members, including previous cholera patients and caregivers, local food retailers, school teachers, local health promoters, community and religious leaders.
Healthcare professionals, including state epidemiologists, disease notification and surveillance officers, health educators/promoters, community health extension workers, nurses, clinicians, traditional healers, academia, the staff of state ministries (health, water resources, environment, primary health care development agency), technical partners and funders (WHO, MSF, UNICEF).
At the federal or national level:
Government and non-government cholera stakeholders (e.g. staff of NCDC, federal ministries of water resources, health, environment and primary health care development agency, as well as technical partners and funders including WHO, World Bank, UNICEF, United States Centers for Disease Control and Prevention (US CDC), Africa Field Epidemiology Network etc.)
All study participants must be willing to participate in the study and to sign an informed consent form, and considered a cholera stakeholder (community or healthcare professional). All KIIs will be conducted by the lead researcher (KE) either in a health facility or an office at a time convenient for each study participant. Being a qualitative study without a fixed sample size, we will aim for at least 20 participants in each study location, but recruitment will stop once saturation (i.e. when study participants have provided a range of information or perceptions about the study until no additional information is being provided) is reached32. The semi-structured interview guides will be developed separately for each study participant type (i.e. community members, healthcare providers, national publichealth stakeholders) and piloted before data collection. Where possible, the data collection process will be aided using an audio-recorder. The collected will be transcribed verbatim and analysed using a thematic approach, aided by Nvivo software. Thematic analysis will follow the six-phased approaches recommended by Braun and Clarke33, bearing in mind that these phases are not a linear process, but more of a recursive process where one moves back and forth as needed. The six phases include familiarisation with data, generating initial codes, searching for themes, review of initial themes, defining and naming themes, and producing the report.
Findings from this study component, alongside those from the cross-sectional study, will be triangulated to finalise the script development for GMB in phase 2.
Phase 2: Group model building
GMB workshop process
We will conduct a total of nine all-day GMB workshops, two with community participants and two with health professionals in both states (total of 8), and one with stakeholders in Abuja (i.e. federal government and partners). Table 2 provides an overview.
We will use locations with minimal distractions to the participants, such as an event centre within a hotel or government ministries. The rationale for participant-specific GMB workshops is to minimise the effect of power dynamics and recognise variation in understanding of cholera by various stakeholders. Between 7–10 participants (12–15 in Abuja given it’s a one-day event) with similar characteristics as those in the qualitative study component will be purposely selected for each GMB session. Invitation of potential participants will be facilitated by a combination of letter/email and phone call. We will ensure that public health preventive measures with regards to coronavirus disease 2019 (COVID-19) (e.g. physical distancing and use of face-masks) are in place during each workshop. The protocol and scripts for each workshop will be modified from those available from Scriptapedia34 and based on preliminary findings from study phase 1. The research team members will be assigned roles as outlined in Table 3. After each GMB workshop, the research team will have a debrief session to reflect on processes and to make necessary adjustments as needed.
GMB tools
The GMB process will utilise three interactive system mapping tools (see provisional scripts for these tools in Extended Data): graph over time; cognitive mapping; and causal loop diagrams.
Graphs over time allow the participants to share their understanding of cholera as well as perceived drivers of its recurrent transmission in their community over a specific time period. Using an empty graph with time on the x-axis (with a vertical line for the present time) and a variable on the y-axis, the participants will be guided by the researchers to fill in the graph. They will be prompted with questions such as: “What is the trend of cholera in your community since the 2015 presidential elelction in Nigeria?”, “What are the factors influencing the transmission of cholera in your community?”, “What are the interventions available for cholera control in your community?”. As well as drawing on the empty graphs the historical trends of cholera, the participants will be asked to identify two future pathways they predict would occur if current cholera trends continued or if intervention occurred.
Cognitive mapping is a visual tool that will introduce participants to systems thinking by exploring their understanding of the facilitators/barriers to the implementation of cholera interventions (e.g. surveillance and oral cholera vaccination) and consequences of implementing these interventions successfually or not25. For this activity, a template will be developed and provided for the participants to complete.
Causal loop diagrams capture the dynamic nature of an issue and the presence of feedback in systems25. This activity focuses on providing the participants with an understanding of why feedback is important in a system, using pictoral examples from relevant studies. Here, simple feedback loops which are a basic operating unit of systems35, will be designed from participants’ previous activities (e.g. barriers to the implementation of cholera interventions and consequences of action and inaction). To further consolidate findings from the causal loop diagrams, a sub-set of of participants will be asked to critique the collective models by adding, deleting and modifying structures in the map. We will also seek to explore potential interventions to identified barriers to implementing cholera interventions in the both Adamawa and Bauchi states. The primary focus here would be to use the following questions to probe for possible actions which could be taken to address the identified barriers: “What variables could you increase or decrease?” “How could you impact connections: strengthen, or weaken a connection, speed it up or slow it down, add or delete connections?” This activity will require the participants to write potential actions on post-it notes and place them on the causal loop diagrams where they consider appropriate. Finally, all the participants will be required to select the top three actions for each intervention that their group would like to see progressed.
Post-GMB workshop
GMB data, alongside field notes and reflections from the research team, will be analysed thematically. Additionally, findings from the GMB workshops will be supported with quotes from thematic analysis of transcripts from the KIIs. Lastly, GMB findings will be digitised using VenSim software, version: 8.2 (an open-source software).
The protocol for this study has been reviewed and approved by the Nigeria National Health Ethics Research Committee (NHREC Approval Number NHREC/01/01/2007-24/08/2020). Additionally, participants for the qualitative and GMB workshops will be required to provide informed consent after reading or listening to the study information sheet, and will be assured freedom to withdraw from the study at any stage. Autonomy and confidentiality will also be maintained throughout the conduct of this study; For example, we will delete all personal identifiers from the dataset prior to management and analyses, and only the research team members will have access to the dataset on a password-protected laptops. Lastly, while participants will be informed that there are no direct benefits from participating in the study, those in the GMB workshops will however be given stipends to compensate the cost of transportation and potential loss of income for the day—this is appropriate in the context of GMB workshops25. Expected findings will be disseminated through peer-reviewed publications and local and international scientific meetings.
This study will take a systems modelling approach to examine complex factors influencing the implementation of multi-sectoral cholera interventions in a cholera endemic and fragile region of Nigeria. The participatory nature of the study has the potential to improve the quality of findings, acceptance of findings from cholera stakeholders, and ultimately increase the likelihood for implementation of recommendations36.
Previous attempts aimed at strengthening the healthcare systems in the north-east region of Nigeria have so far failed to address the complex and persistent burden of cholera in the region. For instance, a health facility survey conducted in Adamawa found the state’s capacity to deliver healthcare services to be extremely poor due, in part, to the destruction of health infrastructure by Boko Haram terrorism group37. This survey was however generic without a specific focus on the state’s capacity to respond to or manage communicable disease outbreaks including cholera. Therefore, determining the health capacity of both the Adamawa and Bauchi states to support multi-sectoral cholera interventions could serve two important purposes: to identify needs or gaps for investments and to potentially serve as a benchmark for monitoring progress towards closing the identified gaps.
A study in the state of Yobe, one of the most affected states by Boko haram insurgency, using systems dynamics modelling found a significant decrease in access to health care and human resources for health, largely due to the outward migration of health workers and suspension of public health programmes38. A dearth of evidence on the dynamics of health care access and provision in the context of cholera was evident, limiting robust planning. Thus, findings from our proposed study would be timely in ensuring the holistic identification and implementation of appropriate public health measures for efficient cholera control in this Nigerian region.
This evidence will be useful to policymakers and funders given the expected impact of the COVID-19 pandemic on SDG progress, with vulnerable populations in fragile settings projected to be the most affected39. In addition to the novelty of using a systems approach to study cholera dynamics in a setting made fragile by armed conflicts, findings from our study could generate new framework for how cholera interventions are constructed or implemented in fragile contexts, while also offering a new perspective to explore potential leverage points with regards to cholera policy and response.
The qualitative nature of the GMB approach is often considered a limitation, hence there has been a call by researchers to go beyond the qualitative model to create a quantitative simulation model that allows for quantifying the postulated causal relationships established in the qualitative models40. As such, we will seek to conduct a post-GMB quantitative simulation model using historical cholera surveillance data from Nigeria CDC, published literature and other publicly available data (e.g. population census and health metrics) to strengthen the evidence to inform policy decision making. For instance, the quantitative simulation model could provide insights on the relative impact of different cholera interventions (e.g. WASH) on cholera outcomes. Another potential limitation of the GMB approach is limited generalisability of findings, although the aim of a systems modelling approach is to have a highly contextualised understanding of an issue through the prioritisation of stakeholders’ engagement. Nonetheless, we will make deliberate efforts to recruit participants from diverse occupational, socio-economic and gender groups in order to enrich the diversity of the study participants and consequently the expeected findings.
The engagement of a diverse range of cholera stakeholders, including community members, in a participatory process could contribute to a renewed desire to bring about positive change to cholera control in an endemic and fragile region of Nigeria. Moreover, this study could have an implicit impact on the control of other water-borne diarheagenic diseases in the country.
Figshare: Understanding the factors enabling and blocking sustained implementation of cholera interventions in a fragile region of Nigeria: a multi-phase group model building study protocol. https://doi.org/10.6084/m9.figshare.13686073.v131
The project contains the following extended data:
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
KE, CK and TA conceptualised the study. KE, CK, KD, JA, BF, CI and TA are implementing the study. KE had primary responsibility for final content. All authors participated in writing, read and approved the final manuscript.
We are grateful to the Adamawa State Ministry of Health, Bauchi State Ministry of Health, and the Nigeria Centre for Disease Control for supporting the development of this study protocol. Lastly, we are grateful to the WHO Global Task Force on Cholera Control for its technical support towards the implementation of this study.
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Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
No
Are the datasets clearly presented in a useable and accessible format?
Not applicable
References
1. Gayer M, Legros D: Conflict and Emerging Infectious Diseases. Emerging Infectious Diseases. 2008; 14 (6). Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Public Health, Infectious diseases, Cholera
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Partly
Are the datasets clearly presented in a useable and accessible format?
Not applicable
References
1. Bompangue D, Giraudoux P, Piarroux M, Mutombo G, et al.: Cholera epidemics, war and disasters around Goma and Lake Kivu: an eight-year survey.PLoS Negl Trop Dis. 2009; 3 (5): e436 PubMed Abstract | Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Research on operationalization and ecology of infectious disease.
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
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Version 1 09 Feb 21 |
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