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Health Information Management in Sierra Leone

Health Information Management in Sierra Leone. Ministry of Health and Sanitation Abou Bakarr Kamara, Director of Policy, Planning and Information The Lancet Commission on Global Surgery, Freetown, 19 th June 2014. Content. Background Data collection Hospital data Feedback Mechanism

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Health Information Management in Sierra Leone

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  1. Health Information Management in Sierra Leone Ministry of Health and Sanitation Abou Bakarr Kamara, Director of Policy, Planning and Information The Lancet Commission on Global Surgery, Freetown, 19th June 2014

  2. Content • Background • Data collection • Hospital data • Feedback Mechanism • Risk analysis

  3. 1. Background • TheHealth Information System (HIS) in the Ministry of Health and Sanitation (MOHS) is the processes and mechanisms through which health‐related data is produced and made accessible to users • The HIS has several sub‐systems: • Health Management Information system (HMIS) • Integrated Disease Surveillance and Response (IDSR) • Vital Registration (VR) for births and deaths • Human Resource Information System (HRIS) • Logistics Management Information System (LMIS) • Population‐Based Information Systems • Research‐generated health information • Data collected is stored and analyzed in the District Health Information Software (DHIS2)

  4. 2. Data collection Data is produced and used at four levels: community, health facility, district and national level. Daily By 15th of each month By 25th of each month Quarterly/ Annually • Health data is captured from clients/patients in 1270 PHUs and 22 government hospitals • Outreach data and data submitted by Village Health Committee is collected • Daily summaries are generated • Daily tally books are used to compile 7 monthly reports for DHIS • Data submitted to M&E officer at district level • M&E officer cleans the data and submits to DPPI • HMIS specialist at DPPI cleans data and ensures completeness • Reports for programmes or partners are produced upon request • Health Bulletin is published

  5. 3. Hospital data • In- and out-patient data is collected for Cases and Deaths, from all government hospitals, capturing data about patients’ diagnosis categorized into specific modules and age cohorts. • Data is captured at hospital level and are keyed into a computerized database application that aggregate the data at district and national level • Hospital M&E Officers are responsible for data collection of hospital records and to supervise data entry Clerks to key data into the database. • Hospital records will soon be keyed into the online DHIS2 software • The six modules are split into the below structure:

  6. 3. Hospital data • In- and out-patient data is collected for Cases and Deaths, from all government hospitals, capturing data about patients’ diagnosis categorized into specific modules and age cohorts. • Data is captured at hospital level and are keyed into a computerized database application that aggregate the data at district and national level • Hospital M&E Officers are responsible for data collection of hospital records and to supervise data entry Clerks to key data into the database. • Hospital records will soon be keyed into the online DHIS2 software • The six modules are split into the below structure: Some surgical indicators captured in hospital forms: # of Appendicitis surgeries performed # of Hernia/Hydrocele surgeries performed # of Caesarian sections performed # of Assisted Vaginal deliveries performed # of Ophthalmic surgeries performed Morbidity Maternity Services In-patient Admission Service Utilization Type of Delivery Outcome of Delivery • Captures data for specific 31 diseases, split into outpatient and inpatient • Reports cases and deaths • Splits into 6 age brackets and gender • Reports on 12 specific diagnosis • Reports on cases and deaths • Split into 4 age brackets • Split into wards: • Medical • Paediatric • Obstetric/Gynecology • Surgical • Opthalmic • TB Ward • Intensive Care Unit • Total number of beds • Total number of bed days • Split into the same age groups as maternity services • Reports: • Normal delivery • Assisted Vaginal delivery • Caesarian section • Reports: • No of live births • No of still births • No of Still births maserated

  7. 4. Risk analysis (1/2)

  8. 4. Risk analysis (2/2)

  9. Health Information Management in Sierra Leone Thank you for your attention!

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