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THE HEALTH FACILITY MAPPING

THE HEALTH FACILITY MAPPING. Richard Laku. Rationale. Absence of accurate information on location, functionality and the range of service provision, manpower ( baseline information). Objectives. Identify the HF locations and near by schools and water points Develop updated maps of HF

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THE HEALTH FACILITY MAPPING

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  1. THE HEALTH FACILITY MAPPING Richard Laku

  2. Rationale • Absence of accurate information on location, functionality and the range of service provision, manpower ( baseline information)

  3. Objectives • Identify the HF locations and near by schools and water points • Develop updated maps of HF • Carry out the inventory of : • Service availability • Human resource outlay • Equipments • Drugs supplies • Training • Identify gaps to support planning and M&E

  4. SCOPE OF WORK • Design of Instrument • Piloting of Instrument • Data Collection • Data entry • Data cleaning • Data Analysis • Documentation

  5. Design of the Questionnaire • Questionnaire should be structured • Questionnaire has to have a unique identification code • The Questionnaire has skips • Multiple answers • Apha answers, numeric answers • Special Codes: 9=missing information, 8=Don’t know • Use of official Census Codes e.g 92=Central Equatoria, 93=Eastern Equatoria etc

  6. Data collection • Piloted the instrument in Central Equatoria State • Use of GPS • Proper filling of the questionnaire • Collected data in systematic manner in the seven States

  7. Data Entry • Data entry program was developed using CsPro • Program resembles questionnaire • Program has controls

  8. Data Entry • Training to enable the data clerks to know exactly what is expected of them • Transfer of data in the questionnaire to the computer • Provide codes for data staff

  9. Data Cleaning • Use of the verifier mode to check errors • Running of Batch programs to flash out data entry errors • Determination of outliers

  10. Data Analysis • Transfer to SPSS for analysis • Provision of frequency tables • Provision of cross tabulations (numbers or percentages) • Provision of graphs • Data for maps

  11. Documentation • Documentation of all the variables, controls and skips in the questionnaire • Documentation of the analysis • Challenges experienced during data collection, data entry and how they were resolved

  12. NUMBER OF HEALTH FACILITIES

  13. Graphical representation

  14. Conclusion • Data is key in planning • Data is crucial in M&E • Absence of key variables: Gender variable, Rural/Urban classification • Further analysis can be done

  15. Thank you

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