Lessons learned from setting up the Nahuche health and demographic surveillance system in the resourceconstrained context of northern Nigeria

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Study Justification:
– The study aims to share the lessons learned from setting up the Nahuche Health and Demographic Surveillance System (HDSS) in a resource-constrained context in northern Nigeria.
– The study highlights the importance of population health approaches in improving health and well-being.
– The study provides strategies that can be replicated in other settings with similar challenges.
Highlights:
– The successful launch of the Nahuche HDSS was attributed to determined leadership, stakeholder participation, support from government authorities, technical support from the INDEPTH Network, and international academic partners.
– Solid funding during the launch period was essential for long-term sustainability.
– Overcoming challenges related to gender separation and low female literacy levels required the recruitment of female interviewers and engagement with local community leaders.
– Continuous engagement and sensitization of stakeholders were critical for sustainability.
Recommendations:
– Replicate strategies used in setting up the Nahuche HDSS in other similar settings.
– Ensure strong leadership and stakeholder participation.
– Secure sustainable funding for long-term operation.
– Address challenges related to gender separation and low female literacy levels.
– Engage and sensitize all stakeholders for sustainability.
Key Role Players:
– Leadership team
– Stakeholders
– Government authorities
– Technical support from the INDEPTH Network
– International academic partners
– Local community leaders
Cost Items for Planning Recommendations:
– Funding for launch period
– Long-term sustainable funding
– Recruitment and training of female interviewers
– Engagement and sensitization activities
– Infrastructure development
– Data quality assurance
– Research agenda implementation
– Dissemination and communication activities
– Partnership and networking activities

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is based on the authors’ experience setting up the Nahuche Health and Demographic Surveillance System (HDSS) in northern Nigeria. The abstract provides a detailed description of the steps taken to establish the HDSS, including stakeholder participation, technical support, and funding. However, the abstract does not provide any specific data or results from the HDSS, which would strengthen the evidence. To improve the evidence, the authors could include data on the population size, health outcomes, or interventions implemented through the HDSS. Additionally, including references to published studies or research conducted using the HDSS data would further support the evidence.

Background: The present time reflects a period of intense effort to get the most out of public health interventions, with an emphasis on health systems reform and implementation research. Population health approaches to determine which combinations are better at achieving the goals of improved health and well-being are needed to provide a ready response to the need for timely and real-world piloting of promising interventions. Objective: This paper describes the steps needed to establish a population health surveillance site in order to share the lessons learned from our experience launching the Nahuche Health and Demographic Surveillance System (HDSS) in a relatively isolated, rural district in Zamfara, northern Nigeria, where strict Muslim observance of gender separation and seclusion of women must be respected by any survey operation. Discussion: Key to the successful launch of the Nahuche HDSS was the leadership’s determination, stakeholder participation, support from state and local government areas authorities, technical support from the INDEPTH Network, and international academic partners. Solid funding from our partner health systems development programme during the launch period was also essential, and provided a base from which to secure long-term sustainable funding. Perhaps the most difficult challenges were the adaptations needed in order to conduct the requisite routine population surveillance in the communities, where strict Muslim observance of gender separation and seclusion of women, especially young women, required recruitment of female interviewers, which was in turn difficult due to low female literacy levels. Local community leaders were key in overcoming the population’s apprehension of the fieldwork and modern medicine, in general. Continuous engagement and sensitisation of all stakeholders was a critical step in ensuring sustainability. While the experiences of setting up a new HDSS site may vary globally, the experiences in northern Nigeria offer some strategies that may be replicated in other settings with similar challenges. © 2014 Olatunji Alabi et al.

The first step in establishing an HDSS was to select the site. Two state governments were interested in housing the site: Jigawa and Zamfara. To determine which state (if any) and which site within the state met the criteria for an HDSS, PRRINN-MNCH hosted a scoping visit by a team of international researchers with experience in developing and collaborating with INDEPTH sites. The purpose of the visit was to assess their understanding and commitment of each state’s stakeholders to the establishment of an HDSS, and then through discussions and site visits assessing the extent to which the potential sites met the requisite criteria for an HDSS site. The criteria for an HDSS site include: minimum of 40,000 population size; uninterrupted internet service; stable electricity supply (which may be achieved through alternative backups like standby generators and inverters); access to skilled labour force, e.g. computer specialists, programmers, interviewers; access to a diverse population who can provide different responses and a population that wants answers and is willing to answer questions to help researchers find solutions to problems; ability to interface with state and federal planners to identify health system research combinations to study and ability to mobilise resources to sustain the operation of the site among others. In each state, the international team first met with several stakeholders, including PRRINN-MNCH Programme officials, members of the State Health and Planning Ministries, local government and community leaders in potential sites. They conducted group discussions with community, local government, and state officials and assessed the acceptability of the initiative, ongoing efforts in population registration and commitment to population-based research on health outcomes, among others. The availability of supportive infrastructure such as suitable housing and offices was also discussed with the state government officials. The scoping mission next surveyed the physical and social characteristics of the proposed HDSS community sites to ensure that they had sufficient population size and accessibility to interviewers. They also identified existing health systems structures and initiatives in the states, and in the local governments proposed for the HDSS sites in each state. While sites in both Zamfara and Jigawa met the criteria in terms of population size and supportive infrastructure, the state and local government support among stakeholders was found to be much stronger in Zamfara. Zamfara, particularly the Bungudu Local Government Area and the district of Nahuche, offered housing and infrastructure support. Further, the Nahuche site included a functional PHC where various PRRINN-MNCH Programme interventions would be based. Therefore, the team recommended that Nahuche District in Zamfara be selected for the development of the Nahuche site. To ensure their understanding and commitment, key PRRINN-MNCH implementation research leaders and Nahuche stakeholders were invited to visit the HDSS site of Navrongo Health Research Centre in northern Ghana, a fairly comparable setting. The tour included field visits and presentations on the role of research in health systems strengthening and service delivery and translation of research findings into action. Throughout this visit, the PRRINN-MNCH team learned first-hand from the Navrongo experience and was able to solicit technical support and collaboration on setting up the Nahuche HDSS. The Nahuche HDSS study site with coordinates 12°36′ N, 6°54′ E, and 435 m above sea level is located in Zamfara State of north-western Nigeria (Fig. 1). Nahuche has a typical Sahelian climate with temperatures reaching a high of 38°C from March to May and a rainy season from May to late September, while the cold season, the Harmattan, starts from December until February. Situated in Bungudu LGA, the site is 32 km from the state capital, Gusau, and constitutes six districts of Bella, Gada, Karakai, Nahuche Keku, Nahuche Ubandawaki, and Rawayya. Gusau is a key commercial centre with a heterogeneous population from all over Nigeria. (a) Map of Nigeria showing Zamfara State and (b) Zamfara State showing Bungudu Local Government Area. The Nahuche HDSS study site is made up of 120 villages under the leadership of six district heads. Almost all residents in the study area are Hausa. Farming is the most common economic and subsistence activity of the people and is consistent with the slogan of the state ‘farming is our pride’ (9). High unemployment is a catalyst for temporary labour migration among men. The standard of living is quite low, with hardly any families owning cars or televisions, standard signs of improved living standards. Infrastructure remains deficient with no access to an electricity grid and dependence on local generators. There is no community sanitation system, and most families are depending on latrines and wells or boreholes for their water. All villages have at least a primary school, and some have a junior secondary school. One primary health centre is located adjacent to the HDSS site offices while the general hospital is located on the way to Gusau. Most people access healthcare from both Traditional healers and faith based healers apart from public health facilities. On 12 October 2009, a steering committee was set up to fast track the activities that would ultimately lead to a successful establishment of the Nahuche HDSS. Membership of the steering committee was drawn from relevant government agencies including the Ministries of Health and Planning and Budget, Primary Health Care Development Agency, the Primary Health Care (PHC) directorate of the Bungudu LGA, State Ministry of Local Government (MOLG), and the Zamfara State Team Leader for PRRINN-MNCH. The committee’s mandate was to mobilise resources for the HDSS set-up and to facilitate collaboration with communities in the catchment area and with the Bungudu LGA. The state and LGA were asked to recruit junior cadre staff to facilitate the launch of the site, nominate members to the operations research advocacy committee (ORAC), which would serve as the ethics review board for the HDSS. The ethics sub-committee of the ORAC works as an Internal Review Board, and would review all research proposals implemented on the HDSS platform, as well as any in the state. All work of the committee was voluntary. Community mobilisation and collaboration is key in longitudinal surveillance of a population. The Nahuche HDSS Steering Committee began the community mobilisation by ensuring high-level commitment by officials from the State Ministry of Health and other state government departments. The committee then led the community mobilisation through repeated visits and briefings with the district heads and other community leaders. Continuing as a part of the ongoing activities of the HDSS, the community mobilisation meetings are organised in each district by two Imams from the two Islamic groups and two other community members appointed by the chief and the officer-in-charge of the PHC from each district. During the community meetings, issues discussed included: the purpose of the HDSS establishment, and support and commitment of the people and the traditional leaders were solicited. A key part of establishing the HDSS was the memorandum of understanding (MoU) signed between PRRINN-MNCH and the Zamfara State government. The MoU clearly spelt out the resource mobilisation guidelines for the HDSS centre. Three major partners were identified and each with its financial obligations: 1) Bungudu LGA provided three blocks of flats for use as office accommodation for the centre and was responsible for the perimeter fencing of the centre. 2) PRRINN-MNCH Programme provided technical and financial assistance for the successful implementation of the project. In addition, PRRINN-MNCH provided a four-wheel drive vehicle, office furniture, electric generator, motorcycles, computers with battery backups, internet service, and payment of salaries. 3) The Zamfara State government was asked to pass a law designating the HDSS as an agency of state with a budgetary allocation to ensure secured sustainable funding of the centre. The State Ministry of Health also was expected to provide senior staff (a demographer, a statistician, a public health expert, and an administrator) to work alongside the three long-term consultants employed by PRRINN-MNCH Programme for the HDSS; however, they were unable to provide this senior technical staff. As a result, the HDSS steering committee forged a strategic alliance between Zamfara State government and Usman Danfodiyo University, Sokoto (UDUS), which had several faculties able and willing to provide the necessary technical expertise. Therefore, an MoU was subsequently signed between the state government and UDUS in order to harness the technical resources available in the university and to ensure sustainability of the centre beyond the programme. With guidance from the INDEPTH Network and PRRINN-MNCH senior technical advisors on job specification and qualifications, advertisements were placed in the public media and persons were recruited for the positions of the HDSS manager, computer scientist, and field data managers. The INDEPTH Network helped train the PRRINN-MNCH technical advisor and the successful candidates at the Navrongo HDSS site in November 2009 to prepare them for set-up and the pilot census. Through contractual arrangements that mapped specific areas of need for technical assistance, INDEPTH provided a database management expert and an HDSS field management expert to give intermittent follow-on guidance and training to the data manager, HDSS manager, and the enumerators for the pilot census, baseline census and subsequent four rounds of data collection. The quality of HDSS data depends to a large extent on the quality and commitment of the field staff. Getting adequately qualified persons in the surrounding communities was an uphill task. Literacy levels were generally low in these deprived rural communities but even lower among women. Being predominantly Muslim communities, men are not allowed to interview females who are socio-culturally subjugated, so it was imperative that female interviewers were recruited. This meant that the recruitment of field staff had to do extraordinary outreach to find and recruit suitable female interviewers. Even though the screening and recruitment of fieldworkers and data entry clerks was an open selection process through advertisement of vacant positions for qualified candidates to apply, particular attention was given to any women who applied. In fact, few women from the LGA and local communities applied for the job. Further, most of them failed the screening test due to their lower literacy level. Therefore, in order to recruit females, females who demonstrated potential to succeed even if their scores were lower than those of men were selected. Fieldwork and data entry training manuals were developed using samples from other HDSS sites. All those who passed the initial screening for literacy, residency in the surveillance zone, aptitude for interviewing (or data entry) were trained. The fieldworkers and data entry clerks were trained together to ensure that the latter understood the nature of the data to be collected. In this way, fieldworkers would understand the structure of the data entry processing software and appreciate the built-in functionality of the interview to provide for consistency checks. The interviewers could see how any mistakes or inconsistencies contained in the completed questionnaire could be detected. Those with the highest scores in the post-test training were hired as field workers and data entry clerks, with the exceptions noted above to give priority to promising female interviewers who did not do as well on the written test. While 250 candidates came for the recruitment screening interviews, 50 applicants barely met the minimum criteria for selection. Out of the 50 applicants who were trained, only 25 were finally selected (20 fieldworkers and five data entry clerks). Out of the 20 fieldworkers, only four were females whereas out of the five data entry clerks, only one was female. The first step in establishing the database that is to become the surveillance system is to conduct a baseline census, in which the surveillance area is mapped, all communities and households or compounds are mapped, the area is subdivided or chunked into manageable surveillance units (to include about 500 persons each), and then the team conducts a census to establish the number and characteristics of the surveillance population at the initial baseline. Our first step in this process was to send a team of HDSS staff from Nahuche to the Navrongo HDSS site from 22 November to 6 December 2009 to learn all of the critical processes for rolling out an HDSS. Researchers, policymakers, and programme managers have long recognised geographic location as an important factor in population and health outcomes. Knowing how the health of individuals differs by place of residence can lead to a better understanding of where and why events occur and how interventions can be implemented effectively. The Nahuche HDSS therefore included geographic positional coordinates in its mapping of communities and households within the Nahuche surveillance site. Mapping, compound numbering, and recording of global positioning system (GPS) coordinates were done in collaboration with the Nigeria’s National Population Commission (NPopC), which has the mandate and resources to lead demarcation and other activities for census taking in Nigeria. The regional NPopC staff directed the mapping of the surveillance area and its demarcation into smaller units (clusters) for easy enumeration, by re-demarcating the current Enumeration Area (EA) census maps from the NPopC into smaller units referred to as clusters. Each cluster was demarcated to include about 500 people in approximately 72 compounds. A compound was defined as a dwelling unit or structures comprising of one or more households. The staff were grouped into four teams with NPopC staff and some community leaders to identify the boundaries of the clusters and note key features on the cluster maps. As is common throughout INDEPTH sites, it is important that the interviewers know exactly which household they are visiting, so that the interview results can be entered for the correct household, round after round. Therefore, compounds have a publicly visible number painted on their exterior compound wall. These numbers were designed to match up with the identification code of the household in the database, making it easier for the interviewer to ensure that they are speaking with the correct household. The compound codes identify the Nahuche EA or district, cluster, and compound. On the interviewer’s census form, this code would identify the compound, and the interviewer would add codes for household and member within the household. For example, NKA001001 denotes the first household in the first compound of the A cluster of the Nahuche Keku District. When the first round of GPS coordinates were mapped, the NPopC staff went with the field team to re-take the coordinates of a sample of the compounds in each cluster as a quality assurance measure. Re-taking coordinates not only assured the quality of the data but also provided an opportunity to retrain some staff who were still struggling with the appropriate use of the GPS equipment. With approximately 120,000 residents, the baseline census would be an enormous undertaking. Therefore, to ensure that the team was adequately prepared and all details managed, we conducted a pilot census in the 39 villages of Nahuche Keku District (EA), May–June 2010. The HDSS field management team employed a team approach to fieldwork, which generally consisted of one team leader with five or six field staff. For convenience and based on the available team leaders, a total of 25 field staff were divided into four groups, one per cluster. At the pre-census refresher training, fieldworkers were trained in completing the questionnaires and in particular how to ask the questions so that they obtained accurate and complete answers. If an interview was not completed on the first visit, further attempts were made with the household or respondent, up to three times and over three different days, before classifying the case as non-contact. The subsequent contacts were scheduled at times when the respondent was more likely to be at home. The team leader or supervisor reviewed all completed interviews daily, checking thoroughly for empty response fields, illegible responses, and inconsistent responses, using the internal consistency checks built into the questionnaire. Fieldworkers were provided with feedback before proceeding to collect data on the following day. Between May 25 to June 2, 2010, 1,456 individuals were enumerated from 197 households in the four clusters. The results and findings from the pilot study have been documented elsewhere (9) and informed the roll-out of the baseline census. The HDSS programme manager provided additional refresher training on the completion of the items, and in particular on the complete listing of all members of the compound, even those absent on the day of the interview. The number of households per interviewer per day was reduced from five to four. In addition, the interviewers were given better guidelines for responding to community requests for medical help or other benefits in appreciation for participating in the census. Finally, the supervisory process was better organised, as well as the daily logistics of moving the teams. The full baseline census was conducted in the entire surveillance area after the initial pilot. The census was conducted between September and December 2010. The full baseline population of the surveillance area was 125,149 from 19,193 households. The methodology, results, and findings from the Nahuche HDSS full baseline have been reported elsewhere (10). After the baseline census, six-monthly cycles of data collection beginning in January 2011 were conducted in all households identified during the baseline census and new households were also registered. Trained interviewers visited the communities under surveillance, record events (pregnancies, births, deaths, migration, marriages, and vaccination coverage) in registers, and report data to the Nahuche HDSS Computer Centre for processing. As of December 2012, the population under surveillance was 144,496 residing in 20,371 households (average of seven individuals per household). For each round, additional elements of the surveillance system have been put into place. At Round 1, we began the listing of movements in and out of the households, so that migrations could be tracked into and out of the surveillance community. With Round 2, we designated in-migrants and out-migrants depending on their change of status from Round 1 to Round 2. We also added a module on the maternal and child health, including more details about immunisations. At Round 4 and not Round 3, we added verbal autopsy methods, joining the other INDEPTH sites which are trained to inquire about the circumstances just before and at the time of death for any deaths occurring between the rounds. These verbal autopsies are submitted to a panel of three trained physicians who code the presumed cause of death according to the signs and symptoms noted. Stakeholders developed a strategic planning framework for Nahuche HDSS, which includes the mission, vision, and objectives for the 5-year period beginning from 2013. The context within which the strategies were selected for each priority area was based on the SWOT analysis. The priority areas of the framework are: strengthening institutional management; human resource development; sustainable funding; infrastructure development; data quality and INDEPTH Network Membership registration (obtained in November 2012); research agenda; community engagement, support, and benefit; dissemination and communication of findings; and partnership and networking. The strategic plan has since been implemented and institutional management arrangements are being put in place for the centre. The budget for the 5-year plan defines the expected sources of funding of the various components of the plan. Collaborators from UDUS, our international advisors, and the state government are leading this process.

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Some potential innovations to improve access to maternal health based on the information provided include:

1. Implementing a Health and Demographic Surveillance System (HDSS): The establishment of an HDSS allows for the collection of population health data, which can help identify areas of need and track progress in maternal health outcomes.

2. Engaging stakeholders: Involving local community leaders, government authorities, and international academic partners in the establishment and operation of the HDSS can help ensure support and sustainability of the initiative.

3. Recruiting female interviewers: In communities where strict gender separation and seclusion of women are observed, recruiting female interviewers can help overcome cultural barriers and ensure access to maternal health data from women.

4. Continuous engagement and sensitization: Regularly engaging and sensitizing all stakeholders, including community members, leaders, and healthcare providers, is crucial for ensuring the sustainability of the HDSS and promoting awareness and acceptance of modern medicine.

5. Mobilizing resources: Securing solid funding from partner health systems development programs and collaborating with local and international organizations can provide the necessary resources for the establishment and long-term sustainability of the HDSS.

6. Strengthening infrastructure: Ensuring access to uninterrupted internet service, stable electricity supply, and skilled labor force (e.g., computer specialists, programmers, interviewers) is essential for the successful operation of the HDSS.

7. Promoting literacy and education: Addressing low literacy levels, particularly among women, through targeted interventions and educational programs can help improve the recruitment and training of field staff and enhance the quality of data collected.

8. Leveraging technology: Utilizing technology, such as GPS coordinates and database management systems, can improve the efficiency and accuracy of data collection and analysis within the HDSS.

9. Enhancing community collaboration: Establishing partnerships with local communities, traditional healers, and faith-based healers can help bridge the gap between traditional and modern healthcare practices, improving access to maternal health services.

10. Disseminating research findings: Effectively communicating and disseminating research findings from the HDSS can contribute to evidence-based decision-making and inform policies and interventions aimed at improving maternal health outcomes.
AI Innovations Description
Based on the information provided, the following recommendation can be developed into an innovation to improve access to maternal health:

1. Establish a Health and Demographic Surveillance System (HDSS): Implement a population health surveillance system, similar to the Nahuche HDSS, in other resource-constrained areas with limited access to maternal health services. This system will help gather data on population health outcomes and identify areas for improvement.

2. Engage Stakeholders: Involve local community leaders, government authorities, and international academic partners in the establishment and operation of the HDSS. Their support and participation are crucial for the success and sustainability of the system.

3. Address Cultural and Gender Sensitivities: Take into account cultural and gender norms, such as strict Muslim observance of gender separation and seclusion of women, when designing and implementing the HDSS. Recruit female interviewers to ensure the comfort and participation of women, especially young women, in the data collection process.

4. Secure Funding: Seek solid funding from partner health systems development programs or other sources during the initial launch period of the HDSS. This will provide a base from which to secure long-term sustainable funding for the system.

5. Continuous Engagement and Sensitization: Maintain continuous engagement and sensitization of all stakeholders, including community members, local government officials, and healthcare providers. This will help ensure their understanding, commitment, and support for the HDSS, leading to its long-term sustainability.

6. Replicate Successful Strategies: Learn from the experiences and strategies implemented in the Nahuche HDSS and replicate them in other settings with similar challenges. Adaptations may be needed to suit the specific context, but the lessons learned can serve as a guide for establishing and operating HDSS sites in different regions.

By implementing these recommendations, access to maternal health can be improved through the establishment of a comprehensive population health surveillance system that addresses the specific needs and challenges of resource-constrained areas.
AI Innovations Methodology
To improve access to maternal health, here are some potential recommendations:

1. Mobile health clinics: Implementing mobile health clinics that can travel to remote areas and provide essential maternal health services such as prenatal care, vaccinations, and postnatal care.

2. Telemedicine: Utilizing telemedicine technology to connect pregnant women in remote areas with healthcare professionals who can provide virtual consultations and guidance.

3. Community health workers: Training and deploying community health workers who can provide basic maternal health services, education, and referrals in underserved areas.

4. Maternal health vouchers: Introducing a voucher system that provides pregnant women with access to essential maternal health services, including prenatal care, delivery, and postnatal care.

5. Transportation support: Establishing transportation support systems to help pregnant women in remote areas reach healthcare facilities for prenatal care, delivery, and emergency obstetric care.

To simulate the impact of these recommendations on improving access to maternal health, a methodology could include the following steps:

1. Define the target population: Identify the specific population that would benefit from the recommendations, such as pregnant women in remote areas.

2. Collect baseline data: Gather data on the current access to maternal health services, including the number of women receiving prenatal care, the distance to the nearest healthcare facility, and any barriers to accessing care.

3. Model the impact: Use mathematical modeling or simulation techniques to estimate the potential impact of the recommendations on improving access to maternal health. This could involve estimating the number of additional women who would receive prenatal care, the reduction in travel time to healthcare facilities, and the potential decrease in maternal mortality rates.

4. Sensitivity analysis: Conduct sensitivity analysis to assess the robustness of the results and explore different scenarios. This could involve varying parameters such as the coverage of the interventions, the cost-effectiveness of the recommendations, and the availability of resources.

5. Evaluate cost-effectiveness: Assess the cost-effectiveness of the recommendations by comparing the estimated impact on improving access to maternal health with the associated costs of implementing the interventions.

6. Monitor and evaluate: Implement the recommendations and continuously monitor and evaluate their impact on improving access to maternal health. This could involve tracking key indicators such as the number of women receiving prenatal care, the number of deliveries attended by skilled birth attendants, and the maternal mortality rate.

By following these steps, policymakers and healthcare providers can gain insights into the potential impact of different recommendations and make informed decisions on how to improve access to maternal health.

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