Energy Survey

Need for Stable and Sustainable Energy for better Healthcare Delivery in Nigeria: A case study of Kano and Osun State Health facilities

By Mohammed Bello

A recent publication by International Renewable Energy Agency (IRENA) stated that around a billion people today rely on health facilities without electricity supply. While most large hospitals may have round-the-clock access to power, electrification rates drop significantly for rural clinics. In the absence of reliable power, many of the basic life-saving interventions cannot be undertaken safely or at all.

Also, a recent study analyzing over 121,000 health facilities, in 46 low and middle-income countries, found that almost 60% of them lacked access to reliable electricity. Even facilities with electricity access can often suffer from an unreliable supply – negatively affecting the ability of medical professionals in rural communities to deliver modern health services.

Renewable energy is at the forefront of solving this issue. Off-grid (stand-alone and mini-grid) renewable energy solutions represent a cost-effective, rapidly deployable, and reliable option to electrify healthcare centers, transforming lives whilst bolstering global efforts to achieve Sustainable Development Goal 3 – good health and wellbeing.

Lack of sufficient and reliable power is jeopardizing the well-being of millions of people, especially women and children, who often bear the brunt of inadequate primary healthcare services. In fact, worldwide, more than 289,000 women die every year from pregnancy- and childbirth-related complications, many of which could be averted with the provision of better lighting and other electricity-dependent medical services (Sustainable Energy For All, 2019).

Like the pilot Energy survey from 10 selected health facilities across seven (7) Local Government Areas (LGAs) of Kano state in August 2020, the expanded phase was also carried out by the Nigerian Energy Support Programme (NESP), a technical assistance programme co-funded by the European Union and the German Government and implemented by the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH in collaboration with the Federal Ministry of Power (FMP), in partnership with eHealth Africa. It was conducted in close cooperation with geospatial data experts from INTEGRATION Environment & Energy GmbH (INTee) and Reiner Lemoine Institut (RLI) in Germany. This is part of the effort of the NigeriaSE4ALL Initiative to offer the most up-to-date, ground-truth, electrification data available in Nigeria.

The expanded survey was also carried out using a remote interview method for conducting interviews with the health facility in-charges in selected health facilities across 43 out of 44 LGAs of Kano, and 27 out of 30 LGAs of Osun state.

The findings from the result of the earlier concluded pilot survey necessitated the expansion in the scope of the survey, to gather sufficient information that would help provide a bigger picture of the energy needs, current situation, and guidance for the planning of possible implementation of suitable energy solutions for communities. The expanded scope covered a total of 291 health facilities - 173 health facilities in Kano state and 118 health facilities in Osun state.


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Helpdesk Agents administering questionnaires remotely to Health Facility In-charges in Kano and Osun State

Helpdesk Agents administering questionnaires remotely to Health Facility In-charges in Kano and Osun State

The methodology used in collecting the data is through remote administration of survey questionnaires via phone calls, to ensure adherence to and support the COVID-19 response efforts in Nigeria and minimize the risk of infection through physical contact.

The primary aim is to assess energy gaps and identify the potentials for connection to an off-grid power source (renewable energy) and at the same time, determine the readiness for Covid-19 response at the Primary Health facility level.

The diagram below presents a summary of the implementation approach adopted for the survey.

Figure:  Summary of the implementation approach adopted for the survey.

Figure: Summary of the implementation approach adopted for the survey.

  • The following four major data sources were utilized; 

    • list of health facilities extracted from the eHA data portal, 

    • Grid Clusters (potential location for off-grid infrastructure),

    • Senatorial administrative boundary

    • Contact list for Health Facility representatives

Health facility data and senatorial administrative boundaries were downloaded from the eHA Data portal/ GRID3 as shapefile format, power grid location was downloaded from Nigeria SE4ALL Webmap; in Geojson format, containing the KEDCO - Grid Data MV Lines (2016) and Osun state MV power lines. 

Finally, a structured survey was designed to capture the energy required capabilities and capacity of the health facilities.

Fig 2. Map showing the distribution of Primary health facilities in Osun state(Left) and Kano state(Right)

Fig 2. Map showing the distribution of Primary health facilities in Osun state(Left) and Kano state(Right)

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Activities

Remote administration of questionnaires to the health facilities in-charges via phone calls to identify the following:

  • the health centers’ current electricity supply status

  • general services provided by the health centers, 

  • their current ability to cope with the COVID-19 response

  • available infrastructure at the health center that would impact considerations around power requirements

Key Findings

  • The survey findings indicate that all infrastructures do not meet up the minimal requirement stated by NPHCDA and some health services needed to be upgraded

  • Power shortages affect the functionality of many types of equipment at the health centers across all assessed facilities thereby, affecting the output and overall performance of the facilities in terms of service delivery.

Benefits of the survey

The outcome of the survey provides visibility on areas and health facilities that require urgent intervention, such as the provision of PPEs to the health facilities and other equipment/infrastructures. Also, the data collected were subsequently published with updated health facilities infrastructure and services information on the eHA data portal for public access and to all for non-commercial use.

Finally, the survey makes readily available information relating to health facilities and the preventive measures taken during the COVID-19 crisis.

Future Survey Use Case Potential:

The remote survey showcased the capacity to effectively gather information on energy sources and requirements whilst supporting efforts in preventing the spread of the COVID-19 virus, without requiring a face-to-face engagement. 

Considering the necessity for energy supply, especially at health facilities, these surveys present a clear understanding of current energy systems that may not be sustainable and the need to consider alternative sustainable energy systems that would have minimal impact on climate change and make lives better.

Ultimately, surveys can be conducted nationwide to establish a baseline for the energy requirements of Primary Healthcare facilities.

It is evident that the functionality and efficiency of the Nigerian health systems especially in rural settings, can not be optimized with the use of on-grid electricity, some components of which are affected by unstable weather due to climate change. As such, harnessing renewable energy will be an alternative way of addressing the persistent power challenges in the health sector.

The Program Partners

Remote Assessment of Energy Gaps in Selected Health Facilities in Kano State: Identifying Potential for Alternative Energy Sources

In accordance with the standard for operations in most health centers, The World Health Organization (WHO)1 states that the majority of health centers require energy for water supply, temperature control, lighting, ventilation, and clinical processes. In terms of electricity, Nigeria is ranked by the World Bank as the second country in the world and the first in Sub-Saharan Africa with more of her population not having access to electricity. With a population of about 200 million Nigerians, over 80 million representing 40% of the country’s population, lack access to grid electricity2. Presently, power generation, transmission, and distribution rates are not commensurate with the energy demands of the population, giving rise to consumers depending on dirty and outdated energy sources that have adverse health and economic consequences on them and the society at large. Nigeria’s energy demand was estimated to rise to 88,282MW by 2020 from 15,730MW in 20163 . Despite the country’s current installed generation capacity of 12,522MW, it generates an average of 4,500 MW, which is transmitted through its fragile National Grid and is grossly insufficient to meet the electricity demand of its 190 million population not excluding demands at health facilities.

Sadly, only an estimated 30% of Nigerians are connected to the national grid. This low and erratic power supply affects the community’s primary health centers forcing the management to rely on kerosene lanterns as a source of lighting and petrol generator as their primary source of electricity (UNDP Nigeria., 2015)4. As a result, this hinders the efficiency of health services and amenities for optimal operation.

To improve service delivery dependent on energy supply, there is a need to identify the gaps in energy sources of primary health centers in relation to needs/consumption. To this end, a pilot survey was carried out by Nigerian Energy Support Programme (NESP), a technical assistance programme co-funded by the European Union and the German Government and implemented by the Deutsche Gesellschaft fürInternationaleZusammenarbeit (GIZ) GmbH in collaboration with the Federal Ministry of Power (FMP), in partnership with eHealth Africa. It was conducted in close cooperation with geospatial data experts from INTEGRATION Environment & Energy GmbH (INTee) and Reiner Lemoine Institut (RLI) in Germany. This is in line with the objectives of the SE4ALL initiative that are working globally to ensure universal access to modern energy services; doubling the global rate of improvement in energy efficiency, and doubling the share of renewable energy in the global energy mix by 2030 compared to 2010.

Due to the current pandemic (COVID-19) situation of the world and the country Nigeria, the pilot was geared at finding out how effective remote surveys can be applied to gather data required to understand and make decisions on energy challenges at health facilities. It was pertinent to adhere to all precautionary measures to prevent the further spread of the virus during an actual physical face-to-face survey. Hence, this survey employs a remote data collection approach in administering questionnaires, as an alternative to the conventional physical data collection.

Helpdesk Agent administering questionnaires remotely to Health Facility In-charges in Kano State

Helpdesk Agent administering questionnaires remotely to Health Facility In-charges in Kano State

In this respect, eHealth Africa (eHA), a leader in the use of technology, data-driven approach plus in-country expertise in public health-focused activities in partnership with NESP having expertise in alternative energy research, conducted a Pilot Survey on selected Primary Health Centers in Kano State with the aim of assessing energy gaps and identifying potentials for connecting to an off-grid power source (renewable energy) and at the same time, their readiness for Covid-19 response at the primary facility level. 

For the purpose of this survey, five major sources of data have been employed which include; health facilities extracted from the eHA data portal, Grid Clusters (potential location for off-grid infrastructure), population figures, senatorial administrative locations, and structural survey questionnaires. Health facility data and senatorial administrative boundaries were downloaded in shapefile format from the data portal published by eHealth Africa, grid cluster was provided by NESP  (containing the cluster of buildings), population information was downloaded from VTS portal in raster format. Finally, a structure of the survey was designed to capture the energy required capabilities and capacity of the health facilities.

A four grouped structure survey form was designed. The first group was basic information from the respondent (8 questions), the second group was infrastructure equipment at the health center (6 questions), the third group was about services rendered by the health facilities (5 questions) and the fourth group was on energy sources at the health facility (12 questions).

Figure: 2.1Map showing the distribution of sample clusters and health facilities

Figure: 2.1Map showing the distribution of sample clusters and health facilities

A systematic snowball sampling survey technique was used through a phone call to the health facilities. Since the health facilities were predetermined and a focal person was also identified at each of the health facilities, which made the survey straight forward. Also, the collection process was digitized to an ODK web form.

Key Activities

eHA’s Program and GIS team worked with INTee to analyze remotely mapped clusters for suitability with mini-grid. At the initial phase, INTee shortlisted 30 locations for the survey and handed over the longlist to eHA, to come up with a shortlist of 10 health facilities preferably PHCs, using agreed criteria as highlighted below. The LGAs selected fell within the 3 senatorial zones of Kano  (Sumaila, Bagwai, Gabasawa, Kibiya, Karaye, Minjibir, and Tudun Wada).

  • Their electrification status (off-grid and on-grid) and already mapped in OpenStreetMap by NESP

  • The health center should be close to a settlement

  • The health center should be located where there are nearby  buildings

  • The locations and health centers should be within Kano state

    After shortlisting the facilities, a list of community leaders and health facilities in charge were generated along with their contacts for the purpose of conducting a remote interview with them. This is aimed at identifying the gaps within the community and the health facility with respect to their electrification status. 

    The survey sought to assess general information on the health center services and equipment,  and how this relates to their power requirements and current electrification status.  Their current ability to cope with the COVID-19 response were also accessed. eHA administered questionnaires to each of the shortlisted health facilities to identify their current energy needs. Daily calls were made from the call helpdesk to administer the questionnaire and individual responses were captured accordingly. The completed questionnaires were then uploaded to the KoBo Toolbox platform for analysis. NESP was responsible for conducting the analysis.

    To ensure a community-based perspective was covered, community leaders where the health centers were located were also interviewed. Questionnaires were also administered in a similar remote fashion. To capture the appropriate responses,  the local language was used to administer these questionnaires, and the feedback generated were also uploaded to the KoBo Toolbox for analysis purposes.

    Key success

    The remote survey showcased the capacity to effectively gather information on energy sources and requirements whilst supporting efforts in preventing the spread of the COVID-19 virus.

    It also increased the availability of information related to health facilities and the preventive measures taken during the COVID-19 crisis.

    Beyond the energy needs, the analysis from data gathered during the survey showed that available infrastructures at the facilities do not meet up with the minimum requirements stated by NPHCDA. Some gaps in health services provision were identified and needed to be bridged. Furthermore, power shortages at the health centers across all primary health facilities were a common occurrence. All these were achieved via a remote survey which ensures a zero level of risk faced by data collectors.

The Program Partners

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