Health Information Management in Sierra Leone

Transcription

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, 19 th June 2014

2 ontent. Background. Data collection. Hospital data. Feedback Mechanism. Risk analysis

3 . Background The Health 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 . Data collection ata is produced and used at four levels: community, health facility, district and national level. aily By 15 th of each month By 25 th 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

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6 . 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 th 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: Morbidity Captures data for specific 31 diseases, split into outpatient and inpatient Reports cases and deaths Splits into 6 age brackets and gender Maternity Services Reports on 12 specific diagnosis Reports on cases and deaths Split into 4 age brackets In patient Admission Split into wards: Medical Paediatric Obstetric/Gynecol ogy Surgical Opthalmic TB Ward Intensive Care Unit Service Utilization Total number of beds Total number of bed days Type of Delivery Split into the same age groups as maternity services Reports: Normal delivery Assisted Vaginal delivery Caesarian section Outcome of Deliver Reports: No of live births No of still births No of Still births maserated

7 . 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 th 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 # of the Appendicitis database. surgeries performed Hospital records will soon be keyed into the online DHIS2 software The six modules are split into the below structure: Morbidity Captures data for specific 31 diseases, split into outpatient and inpatient Reports cases and deaths Splits into 6 age brackets and gender Some surgical indicators captured in hospital forms: # of Hernia/Hydrocele surgeries performed # of Caesarian sections performed # Maternity of Assisted Services Vaginal In patient Admission deliveries Service performed Utilization # of Ophthalmic surgeries performed Reports on 12 specific diagnosis Reports on cases and deaths Split into 4 age brackets Split into wards: Medical Paediatric Obstetric/Gynecol ogy Surgical Opthalmic TB Ward Intensive Care Unit Total number of beds Total number of bed days Type of Delivery Split into the same age groups as maternity services Reports: Normal delivery Assisted Vaginal delivery Caesarian section Outcome of Deliver Reports: No of live births No of still births No of Still births maserated

8 . Risk analysis (1/2) isks adequate financial and human resources for plementing HMIS plans. or engagement of the private sector and mmunity groups in data collection. o maintenance plan for existing ICT frastructure both at national and district level. formation security is almost none existent and eds to be established and strengthened. Mitigating strategy Continued sourcing of funds to recruit personne and implement the HMIS plans. Private sector and community groups to be engaged in harmonizing data collection and reporting. Ongoing plans to establish maintenance plan for ICT infrastructure at district and national level. Ongoing plans to establish a modern server room for DHIS2 equipment along with main security policies.

9 . Risk analysis (2/2) isks ultiple donor driven parallel information stems which have overloaded the already isting government systems, affecting the ality of data produced. complete recording of health data. se of multiple non standardized forms at rvice delivery points Mitigating strategy Data collection and reporting tools harmonization workshop was completed, data forms are being adjusted. Data validation and supportive supervision exercises in the districts are performed on a quarterly basis to improve data recording and data entry. Improve on the timely delivery of forms.

10 ealth Information anagement in Sierra Leone Thank you for your attention!