Hospitality

Midwife At Premiere Urgence Internationale (pui)

Premiere Urgence Internationale (PUI)·Zamfara, nigeria·Full Time·Internship
HospitalityFull TimeInternship
-

General Objectives

  • Under the direct supervision of the Health and Nutrtion Superviaor, the Midwife provides Maternal Newborn and Child Health (MNCH) / SRH care services, including Ante Natal Care (ANC), Post Natal Care (PNC), Basic Emergency Obstetric and Neonatal Care, and family planning, etc.
  • S/he follows PUI obstetrical and Sexual Reproductive Health protocols and universal standards to ensure quality and continuity of care.

Responsibilities and Tasks

Patient Care:

  • Prepare all the materials and ensure that everything is ready before starting the activities.
  • Perform antenatal consultations including screening tests according to the protocols, detect and mention all the risk factors.
  • Conduct delivery according to the protocols, precautions, hygiene standards.
  • Perform postnatal consultations during the 6 weeks following the delivery, give appropriate treatment and refers to secondary care when needed.
  • Perform family planning consultations and counseling according to protocol.
  • Give systematic prophylactic treatments to pregnant women.
  • Verify the tetanus vaccination of each pregnant woman.
  • Manage SRH emergency cases with the assistance of the Health supervisor according to PUI protocols and regulation.
  • Identify Sexually Gender-Based Violence victims and collaborate with the medical team for treatment.
  • Explain clearly the diagnosis and treatment to the patient and make sure that the patients comply with the treatment.
  • Request for a 2nd evaluation of the patient when needed.
  • Provide individual health promotion during consultations.
  • Give health education sessions to the patients in the waiting areas.
  • Execute any action requested by the PM, Health supervisor as part of the outbreak response plan.
  • Actively participate in the good cohesion and coordination of the team.
  • Record on a readable manner the health status and medical prescription.
  • Participate in the follow-up of waste management according to the waste management procedures.
  • Participate in any other activities such as vaccination, survey according to the needs and as directed.
  • Maintain the working environment in a clean and presentable state.

Management of an Efficient Referral System:

  • Manage the emergency and electives referral cases according to the referral protocol by facilitating the logistics including transportation means, appointment with specialists, laboratory tests etc. in collaboration with Health supervisor.
  • Follow up the referred cases, and check the outcome.
  • Ensuring appropriate follow-up care has been given and taking appropriate action if further care is needed.
  • Identify and refer patients who need mental health consultation.

Medical Data Collection and Reporting:

  • Record accurately and on a readable manner, the clinical case management on the patient health card (history taking, physical examination, treatment, investigation, etc.), and patient registration book.
  • Ensure an accurate daily use and tracking of epidemiological data.
  • Participate in the daily tracking of consumption of the drugs and materials used from the medical box.
  • Collect general information about the people living conditions.
  • Participate in the weekly medical statistic report in collaboration with Health Supervisor and the Program Manager.
  • Ensure a clear verbal and written hand over at every end of the shift, with emphasis on specific events.
  • Report to the supervisor any problem especially the gap / loss / robbery / damage of medical equipment or medicines or any patient and organizational issue.
  • Inform the direct supervisor of the various needs.

Internal and External Representation:

  • Participate in any training in order to improve the quality and efficiency of nursing cares and duties
  • Participate actively in meetings when required
  • The tasks and responsibilities defined in this Job Description are non-exhaustive and can evolve depending on the project's needs.

Key skills

BA/BSc/HND

At a glance

Company

Premiere Urgence Internationale (PUI)

Location

Zamfara, nigeria

Employment

Full Time

Experience

Valid until

Not specified

Created

September 14, 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