Hospitality

Research Assistant At Malaria Consortium

Malaria Consortium·Osun, nigeria·Full Time·Hybrid
HospitalityFull TimeHybrid
-

Project Background

  • PMC is the administration of a full therapeutic course of Sulphadoxine-Pyrimethamine (SP) to provide personal protection against malaria where transmission rates are moderate-to-high and parasite resistance to SP is not high.
  • Under the current WHO guidelines, -SP-PMC is delivered to children <2years old. PMC is safe, cost-effective, well accepted by health workers and communities, and has been found to reduce clinical malaria by 30%, and episodes of anaemia by 21% among the infants.
  • Despite the WHO recommendation, there has been no significant uptake of the policy/strategy in Africa till date.
  • The intervention is not yet adopted as one of the interventions in the Nigerian Malaria Control Policy.
  • A rapid assessment of stakeholders' perspectives on barriers to PMC policy uptake in Nigeria revealed that providing evidence on feasibility, acceptability, and effectiveness of the intervention at the field level will be key for policy uptake.
  • Malaria Consortium received funding to carry out an effectiveness-implementation hybrid study project on the feasibility and effectiveness of PMC in Nigeria.
  • It is aimed at generating the required evidence to inform policy and possible scale-up of PMC in Nigeria and ultimately contribute towards a reduction in under-5 mortalities in the country.
  • The project - a four-year commitment which became effective on the 1st of November 2020 - is being carried out in Osun State. It is a hybrid design aimed at evaluating the effectiveness as well as the feasibility of delivering PMC through the essential programme on immunization (EPI) platform.

Rationale:

  • The PMC strategy is novel in Nigeria, and the implementation and data recording are taken for the first time by the health workers.
  • Since this is a study, whose outcome promises to inform policy adoption, there is a need to ensure availability of data for evaluating the impact of the intervention.
  • The research assistants will be tasked with extracting data from OPD register in sentinel health facilities and IPC registers from private health facilities for rebound phase and more for better project data management outcomes.

Purpose of the assignment

Overall Objective:

  • To support reporting of SP-PMC Effect study data from the implementing health facilities to the National Malaria Data Repository (NMDR) and ensure the reporting of quality data to NMDR.

Specific Objectives:

  • To extract monthly Outpatient department (OPD) data in sentinel health facilities and private health facilities for under-5 children and ensuring timeliness and completeness of data reporting
  • To extract monthly all-causes of hospitalization data from inpatient care registers (IPC) such as severe malaria etc. in private health facilities
  • To complete any data extraction gap for the PMC project in sentinel health facilities (control and intervention arms) and private health facilities.
  • To validate and identify data quality issues and address /escalate them for real time corrective actions.

Description of Assignment

Methodology:

  • Twenty research assistants will be recruited and trained for two days for PMC data extraction and reporting from the OPD and IPC registers.
  • The RAs will be deployed to work in the eight implementing LGAs, to extract data in 80 implementing Health Facilities (forty intervention, forty control HFs and thirty-nine private health facilities).
  • Data from each Health facility will be extracted completely before moving to the next health facility.
  • Each research assistant is expected to extract and submit a minimum of 60 entries/records on daily basis.
  • DHIS2 application will be used to extract and upload data to NMDR. Each Research Assistant will be engaged for 15 days between September to October 2026.
  • Payment will be processed in phases: phase one after seven working days and phase two after eight workings days upon meeting the minimum deliverables requirements.

Key Responsibilities

  • Support monthly data collection and reporting by health facilities.
  • Extract data from OPD and IPC in intervention, control and private HFs.
  • Electronically extract data for under-5 children visiting OPD and IPC department, on malaria and any other health related issues data from the sentinel and private HFs using designated data collection app (DHIS2 app)
  • Support data validation for rebound phase in the health facilities under consideration across the 8 LGAs.
  • Hold onsite review meeting with the M&E Specialist, the State Project Manager and State Implementation Officer
  • Deliverables.
  • Monthly electronic data extraction from OPD (sentinel health facilities) and IPC registers (private health facilities) in HFs their respective LGAs
  • Extract all data for rebound phase and fill data extraction gap for PMC project
  • Daily facility-level electronic reports
  • Any other duties assigned (Previous OPD and IPC data)

Experts Profile

Education:

  • HND or bachelor's degree in health sciences, humanities, or social sciences.

Experience:

  • Familiarity with Osun State geography and culture.
  • Prior work with primary healthcare facilities workers as an independent research assistant
  • Experience in EPI activities, routine immunization, and data validation.
  • Excellent experience in OPD and IPC data extraction using electronic apps.

Skills:

  • Ability to understand and identify OPD and IPC variables for correct data extraction and to ensure data quality dimensions are not undermined.
  • Strong interpersonal communication.
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint).
  • Skilled in electronic data collection, entry, and collation.
  • Ability to use structured checklists.

Key skills

BA/BSc/HND

At a glance

Company

Malaria Consortium

Location

Osun, nigeria

Employment

Full Time

Experience

Valid until

Not specified

Created

August 26, 2026

More opportunities

Similar roles you might like

Research Assistant - Jigawa At Malaria Consortium

Malaria Consortium

Jigawa, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

3 days ago

Research Assistant - Katsina At Malaria Consortium

Malaria Consortium

Katsina, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

3 days ago

Research Assistant - Yobe At Malaria Consortium

Malaria Consortium

Yobe, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

3 days ago

Research Assistant - Kano At Malaria Consortium

Malaria Consortium

Kano, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

3 days ago

Research Assistant - Niger At Malaria Consortium

Malaria Consortium

Niger, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

3 days ago

Research Assistant - Kaduna At Malaria Consortium

Malaria Consortium

Kaduna, nigeria

full-time

Project Background Malaria remains one of the leading causes of morbidity and mortality among children in Nigeria, accounting for a significant proportion of global malaria cases and deaths. While national statistics provide aggregated estimates, there is limited disaggregated data describing how severe malaria burden, clinical manifestations, and outcomes vary across age groups. Recognizing this evidence gap, the DISBURMA Study (Disaggregating the Burden of Severe Malaria in Paediatric Populations in Nigeria) aims to provide comprehensive, age-specific insights into severe malaria morbidity and mortality patterns among children and adolescents up to 20 years of age. The findings will guide health system planning, case management protocols, and malaria control strategies. The study's overarching aim is to quantify the burden, clinical characteristics, and outcomes of severe malaria among paediatric and adolescent populations (0 - 20 years). Purpose of the assignment This is a multi-centre retrospective cohort study using routine hospital records of paediatric and adolescent admissions with severe malaria from January 1, 2021, to December 31, 2025. Study sites will include the 18 health facilities selected to represent Nigeria's epidemiological zones, urban/rural mix, and population density. The specific objectives include to: Estimate age-specific incidence, clinical presentations, and case-fatality rates of severe malaria among children and adolescents aged 0 - 20 years across multiple facilities in Nigeria (2021 - 2025). Examine temporal trends in severe malaria admissions and deaths by age, sex, SMC and non-SMC zones. Identify key comorbidities and complications associated with severe malaria. Assess facility-level differences in severe malaria burden and management practices. Scope of work The DISBURMA Study will adopt a retrospective, multi-centre hospital-based cohort design, using data from 18 selected health facilities across Nigeria's six geopolitical zones. These facilities represent diverse malaria epidemiological profiles, urban-rural contexts, and population densities. The retrospective analysis will cover hospital admission records from January 2021 to December 2025, focusing on children and adolescents diagnosed with severe malaria. All admissions of patients aged 0 - 20 years with clinically or laboratory-confirmed severe malaria will be eligible for inclusion. Data abstraction will use a standardized electronic data capture (EDC) system (SurveyCTO), guided by a detailed extraction form and variable dictionary. Key variables will include demographic information, clinical presentation, laboratory findings, treatment details, comorbidities, and patient outcomes. A minimum of 100 severe malaria cases among 0-20 years over 5 years (2021-2025) will be extracted from hospital records. Level of Effort (LOE): Data extraction of severe malaria cases from inpatient medical records (case notes), laboratory registers (malaria microscopy/RDT results), paediatric and emergency department logs, referral and discharge forms and national severe malaria register between 2021-2025. The research coordinator will provide technical oversight on the daily data extraction of severe malaria cases and the research assistants. Specific Tasks Receive briefing from Malaria and Public Health team on the assignment Identify from registers and case notes the severe malaria cases Work with the medical record officers to ensure that the records are retrieved, extracted and send to the electronic database using the data collection tool. Capture data elements available in all primary data sources, which could include: Unique record ID (study-specific) Facility identifier Patient demographics: age (in months/years), sex, residence (urban/rural) Date of admission, date of discharge/death Diagnosis of Severe malaria: Clinical Diagnosis or Laboratory diagnosis of Severe Malaria Pre referral Treatment (Tick as appropriate): Rectal Artesunate vs. other Antimalarial Parenteral Treatment (Tick as appropriate): Inj. Artesunate, Inj. Artemether, Inj. Quinine and other antimalarials (specify) Oral follow up to Parenteral treatment (Tick as appropriate): Oral ACTs, Oral Quinine and other forms of Oral Antimalarials Outcome of treatment (Tick as appropriate): Improved & Discharged, Death, Absconded / Discharged Against Medical Advice (DAMA) and Referred for further treatment Clinical presentation: signs/symptoms (coma, impaired consciousness, prostration, severe anemia, respiratory distress, hypoglycaemia, repeated convulsions, jaundice, renal impairment, shock), vital signs at admission Laboratory results: malaria test type and result, haemoglobin/PCV, blood glucose, parasite density (if available) Treatment variables: antimalarial therapy (parenteral artesunate, quinine), blood transfusion, antibiotics, anticonvulsants, supportive care (oxygen), time to first dose Co-morbidities and complications: HIV status (if documented), sickle cell disease, severe malnutrition, pneumonia, sepsis Referral source and time from symptom onset to admission Respond to related queries and data needs and requests from the project's technical team and key national and sub-national partners, NMEP and SMEP. Deliverables List of identified severe malaria cases in the assigned health facility Data extracted from all primary data sources Data submitted from all records. Expert Profile The research assistants will have a minimum of diploma in a health-related course with experience in health services provision. Qualifications, experience and skills Essential: Currently working in the pediatric or medical ward of the project hospital as a staff or volunteer Registered nurse/midwife, hold diploma or degree in health-related sciences, or equivalent subject-matter experience Significant experience in inpatient care Experience in the use of electronic platform to capture and report data Familiarity with secondary, tertiary and private hospitals Excellent communication skills. Desirable: Experience of collaborating with government institutions and non-governmental organisations or academic institutions Have understanding of diverse audiences and culture Have obtained training in health research ethics.

3 days ago