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Current guidance and tools for DDU

This comprehensive training provides current guidance and tools for implementing the National Integrated TB/HIV Information System. It covers the concept of DDU, data quality, information retrieval, data flow timelines, and governance documents. Key stakeholders and roles, data sources, and SOPs are outlined to ensure proper implementation. Training materials for facility levels, sub-district managers, and national managers are included, emphasizing the importance of using standard data sources for quality governance. The SOP also addresses the generation of line lists and reports, utilizing TIER.Net for data management and reporting. DHMIS policies and data quality dimensions are explored to ensure relevance, integrity, timeliness, accessibility, reliability, and completeness of data at all levels of the health system. External stakeholder roles and WHO data quality tools are discussed for continuous quality improvement.

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Current guidance and tools for DDU

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  1. Comprehensive Training to support the National Integrated TB/HIV Information System Implementation Current guidance and tools for DDU

  2. Context (1) • The whole concept of DDU is not entirely new, clearly addressed in the current DOH policies and SOP • Guidance is provided on • what is meant by data quality • how information should be retrieved and used • how frequently the information should be used • timelines and data flow of data from facility to national

  3. Context (2) • Guidance is not always adhered to • During facility engagements, couple of issues identified: e.g. • Non-standard data collection tools in some facilities • Non-usage of TIER.Net line lists • Data not flowing from one level to the other timeously • Outliers and missing data identified at higher levels instead of previous levels • Etc.

  4. Governance documents • Key SOPs and Policies • Integrated TB/HIV Data Management SOP • Key role players • Data sources • THIS line lists • Data flow • DHMIS Policy • Data quality dimensions • Facility-level DHMIS SOP • Principles for implementing the SOP • Key HIS maintenance practices at sub-national levels

  5. Governance documents

  6. Integrated TB/HIV DM SOP – key role players • Sub(district) and higher SOP: • Sub(district) managers (SDM/DM) • Information Management (IM) • HAST managers (HM) • DITs, TKIs, • Provincial managers (PM) • Information Management • PIT leads • HAST managers • National Managers • Facility SOP: • Admin Clerk (AC) • Facility and/or Operational Manager (FM/OM) • Facility/Health Information Officer (F/HIO) • Clinician • Club Manager • Mobile Clinic Nurse

  7. Integrated TB/HIV DM SOP – data sources • Data sources for capture in the TB/HIV information system • It is imperative that the prescribed standard data sources are used for digitisingof information • Multiple non-standard data sources would affect quality of clinical governance • E.g. HIV clinical stationery, TB clinical stationery, HTS register, TB case ID register etc. • In line with Ideal Clinic prescript - ‘one patient, one folder, one folder number’ • Where available, Health Patient Record Number (HPRN) must be used as the main folder number

  8. Integrated TB/HIV DM SOP - lists and reports • Line lists and reports • Important for line lists and reports to be generated at stipulated timeframes • Admin clerk is responsible for generating the line lists and reports • Facility Manager is responsible for ensuring appropriate action is taken

  9. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available line lists - HIV Daily Weekly Monthly

  10. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available line lists - TB Weekly Monthly

  11. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available reports

  12. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available reports

  13. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available reports e.g. Facility management report Report and line lists Explanation of the alert Alert

  14. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available reports e.g. Facility management report

  15. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available reports e.g. Facility management report

  16. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available reports e.g. (Sub)District management report

  17. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available reports e.g. (Sub)District management report

  18. Integrated TB/HIV DM SOP - lists and reports • TIER.Net: available reports e.g. (Sub)District management report

  19. Integrated TB/HIV DM SOP – data flow

  20. DHMIS Policy – data quality • Data quality improvement initiatives: • Data is generally considered to be of high quality if it is "fit for [its] intended uses in operations, decision making and planning“ • Who routinely interrogates data quality, and how do they do this? • What are the typical feedback mechanisms in place to address issues identified in those reviews? • External stakeholder’s role in this process (i.e. DSPs)? • WHO data quality tool?

  21. DHMIS Policy – 8 data quality dimensions

  22. DHMIS Policy – 8 data quality dimensions • Relevance • To ensure relevance of all indicators and data elements, NDoH engages a broad range of stakeholders at all levels of health system • Integrity • values and related practices that maintain the confidence users have in the information itself • Timeliness • delays in data collection, conversion into information or data submission compromise the value of the data

  23. DHMIS Policy – 8 data quality dimensions 4. Accessibility • ease with which users can obtain the information • Reliability • data should be analysed at all levels with purpose of identifying establishments with unstable data, and thus unstable service delivery • Completeness • All levels of health system should implement mechanisms for verifying the completeness and consistency of data

  24. DHMIS Policy – 8 data quality dimensions • Accuracy • All facility managers shall be responsible for ensuring that data accuracy assessments are conducted in each facility, comparing tally sheets, registers and/or patient folders with the summary data and applying data validation rules before data is submitted for capturing • Coherence and comparability • Coherence = degree to which data can be successfully brought together with other similar informationfrom different sources within a broad analytical framework overtime • Comparability = ability to compare data on the same characteristics between different points in time and geographical areas

  25. DHMIS facility level SOP - Introduction • The DHMIS facility level SOP (2016) is an updated version of the 2013 SOPs • Clarifies responsibilities and procedures for effective management of aggregated routine health service data • The SOP is mandatory for all health information related activities for NDoH • Facility Manager must ensure team members understand the SOPs objectives • Team members sign that they have read and understand the SOPs

  26. DHMIS facility level SOP - Principles • Principles for implementing SOP: • Standardised set of rationalised registers • Service points allocated appropriate organisational units • Admin clerks enter data into various systems • Each patient should have a facility retained clinical record in which all services are recorded • All clinical records and data collection tools must be stored safely and access to them controlled

  27. DHMIS facility-level SOP • Key HIS sub-national level maintenance practices: • All policies and SOPs must be available and implemented • Staff must be trained on all policies and SOPs • Each patient must have one patient folder/clinical record and file is always available in facility • Information recorded on data collection tool are consistent with patient folder and supporting documentation • All applicable patient records are captured on electronic databases, e.g. ETR.Net, TIER.Net etc. • Information captured in DHIS is consistent with data input forms

  28. DHMIS facility-level SOP • All data collection tools used for collection of must be reviewed for quality and have been signed off • All registersreviewed for quality and have been signed-off by facility manager • All validation errors corrected or explained • All outliersexplained • Processing of data updates has been completed correctly • Sign off forms are properly completed and signed by the facility manager

  29. Thank you

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