Содержание
- 2. Day 1 Understanding your role in HMIS, key indicators, understanding your data collection tools, and pivot
- 3. Introductions, Expectations, and ground rules
- 4. Please state: Your name Facility and role One expectation for the workshop The best thing about
- 5. Training Objectives, Design, and Agenda
- 6. Training Objectives To assist participants in understanding their data collection tools better To enable participants to
- 7. Workshop Design You will interact with all your data collection tools and materials from the point
- 8. Agenda Day 1: Understanding your role in HMIS, key indicators, understanding your data collection tools, and
- 9. HMIS Overview and Your Place In It Understanding the system
- 10. Understanding the System To understand data collection you have to first understand the health system. A
- 11. Patient Level The goal of the health system is to ensure that patients receive access to
- 12. Needs at each Level What does each level need to have to provide this patient health
- 13. Putting it together National: Results Policy Finance Goals District: Results Finance Training Protocols Management Protocols Facility:
- 14. Understanding the Connectedness Every critical item in the patient cycle does not stand alone. Every item
- 15. ? We are now going to connect dependent items between levels National: Results Policy Etc. District:
- 16. Where do information systems come in? These information systems allow people who can make decisions to
- 17. Where do information systems come in? National: Results Policy Etc. District: Finance Training Protocols Results Facility:
- 18. Where does the HMIS come in? National: Results Policy District: Finance Training Protocols Results. Facility: Facilities
- 19. This whole thing is the Health Management Information System National: Results Policy District: Finance Training Protocols
- 20. …..and this is where you fit in data-wise National: Results Policy District: Finance Training Protocols Results.
- 21. Current reporting challenges Discussion
- 22. Facility Level Reporting
- 23. How will it work? HMIS Currently: Facility Level Reporting:
- 24. Theory of Change By having you (facility staff) directly enter data into the HMIS (DHIS2), we
- 25. Key HMIS indicators Understanding YOUR data
- 26. Maternal and Child Health Fully immunized children Underweight children 1st ANC visit Institutional Deliveries Family planning
- 27. HIV/AIDS PMTCT Virology/Serology General counselling and Testing Current in ART ART retention VMMC
- 28. Tuberculosis Notifications for TB Percentage of Retreatment cases Cure Rate Mortality Rate Commenced on ARVs Commenced
- 29. Sexually Transmitted Infections STI cases STI+ tested for HIV
- 30. Adolescent/Reproductive Health 1st ANC HIV positive adolescents Adolescents on family planning
- 31. Malaria Incidence/1000 Cases under 5 Cases over 5
- 32. Your data collection tools Understanding Facility Registers (DHIO to present)
- 33. Facility Registers These are used to collect raw data Individual data elements are counted against each
- 34. Tally Sheets These “tally” up totals from registers Consolidate register data into a smaller, more digestible
- 35. HIA1 and HIA2 Filled in at the end of the month Sent to district for entry
- 36. HIA4 (Where applicable) Filled in at the end of the month Sent to facility for entry
- 37. Exercise Think about registers you have problems with. Depending on what the group comes up with,
- 38. Tips for making the collection and troubleshooting process easier Fill in data as you see patients
- 39. Data Quality
- 40. Generating Quality Data Before submitting reports, data collectors must: Spot-check a small percentage of the data
- 41. What is wrong with this data?
- 42. Exercise Use the registers and tally sheets you brought with you to identify errors in the
- 43. Day 2 Into DHIS2 -- creating charts and pivot tables, saving favorites, and practicing data entry
- 44. What is DHIS2? District Health Information System Open source software Born out of HISP Zambia’s adopted
- 45. What does it do?
- 46. The DHIS2 Model
- 47. Pivot Tables Module:
- 48. A pivot table is … A tool that allows you to reorganize or pivot data into
- 49. A pivot table is … The foundation of Data aggregation Data analysis Data quality checking Data
- 50. Open Module Apps Select ‘Pivot Table’ from dropdown
- 51. Default Pivot Table
- 52. Data Selection Define DE / Indicator / Reporting rates (WHAT) Period (WHEN) Orgunit (WHERE) Update
- 53. WHAT Indicator Data Elements Reporting Rates WHEN Relative e.g. last 12 months Fixed e.g. Feb 2014
- 54. Pivot Table Parameters: When Relative Months Years Quarters Fixed Days Weeks Months Quarters Years
- 55. Pivot Table Parameters: Where Organization Unit + to show subunits Ctrl to select multiple Right click
- 56. Harmony RHC
- 57. WHEN: Monthly→ September 2015 WHERE: All subunits (i.e. Districts) under Luapula Province WHAT: ANC 1st visit
- 58. Result Data Element: ANC 1st visit Org Unit: All Luapula Districts Default pivot table can be
- 59. Pivoting / Changing layout Select ‘Layout’ Drag-n-drop orgunits to rows
- 60. Pivoting / Changing layout Select ‘Layout’ Drag-n-drop orgunits to column
- 61. Options Small modifications in formatting Show totals Show sub-totals
- 62. Worked Example…
- 63. Not very intuitive to read. PIVOT!!! Maternal health: ANC and PNC Data elements 1st ANC PNC
- 64. Move Orgunits to Column (below Data) Move Orgunits to Column (above Data) Pivoted
- 65. Pivoted Move Orgunits to Row (above Period) Move Orgunits to Row (below Period)
- 66. Download Click download Excel (XLS) Can then do other calculations / incorporate into other data etc.
- 67. Manage Favourites Add New Open saved chart Rename Overwrite Share Delete
- 68. Exercise Sheet Work through each example on the worksheet Don’t skip any sections Ask for help
- 69. Charts Module:
- 70. Overview Charts, graphs, and tables provide a great deal of visual appeal. They allow users to
- 71. Overview cont’d In educational settings, charts, graphs, and tables can be used to represent data. Illustrate
- 72. Six things conveyed by charts & graphs Comparisons Relationships Distribution Trends Composition Flow/process, or location
- 73. Reasons for creating charts and graphs Make important trends easily recognizable Allow users to perceive information
- 74. Charting considerations Type of data Purpose of the data Nature of the data or relationship being
- 75. Open Module Apps Select ‘Data Visualizer’ from dropdown
- 76. Default Data Visualizer
- 77. Chart type Select from Column Stacked column Bar Stacked bar Line Area Pie Spider charts Never
- 78. Chart parameters Data: Indicators Date Elements Reporting Rates Period: Relative e.g. Last quarter Fixed e.g. Feb
- 79. Example Chipata District’s 1st ANC coverage over the last 6 months. WHAT WHEN WHERE Indicator –
- 81. Example Chipata’s 1st ANC coverage over the last 6 months SERIES CATEGORY FILTERS DATA X-axis What
- 86. Chipata’s 1 ANC WHAT WHEN WHERE Data Element – 1st ANC Monthly, last 6 months Eastern
- 90. Options Small modifications in formatting Change Title Show trendlines
- 91. Worked example …
- 92. Open a saved chart Go to: Favorites Search for “Choma Reporting rates” Select Title
- 93. Choma Reporting Rates Line Chart Series (Data), Category (Period), Filter (Organisation unit) What: Reporting Rates: HIA2
- 95. Download charts Two options available Standard image (PNG) PDF PDF is higher quality if this is
- 96. Manage favorites Rename Overwrite Share Delete
- 97. Exercise Sheet Work through each example on the work sheet Don’t skip any sections Ask for
- 98. Data Entry Module
- 99. When to do data entry Entering HIA 1 and 2 forms Suggested 1 week before reporting
- 100. WARNING! Data entry is live No undo button I error in population data impacts reports on
- 101. HOW Apps > Data Entry
- 102. HOW Select facility Select Form Select Period Enter Data
- 103. Worked Examples Use the tally sheets you brought from your facility to enter the data for
- 104. Group Discussion Feedback Closing
- 106. Скачать презентацию