1 / 21

Manajemen Data SIK

Manajemen Data SIK. Diah Indriani Departemen Biostatistika dan Kependudukan. Information Process. Data collection Data transmission Data processing Data analysis Presentation of information for use in planning dan managing the health servise. Information Process. Data collection.

zarita
Download Presentation

Manajemen Data SIK

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Manajemen Data SIK DiahIndriani DepartemenBiostatistikadanKependudukan

  2. Information Process • Data collection • Data transmission • Data processing • Data analysis • Presentation of information for use in planning dan managing the health servise

  3. Information Process Data collection Resourses Data transmission Management Data processing Organization rules Data analysis Presentation of information for use in planning and managing the health servise

  4. Jenis Data • Sifat • Kuantitatif, Kualitatif • Cara memperoleh • Primer, sekunder, tertier • Sumber Data • Intern, ekstern • WaktuPengumpulan • Crossectional, time series/ longitudinal

  5. Data Collection Routine data collection methods Nonroutine data collection methods

  6. Routine data collection methods Metode rutin merupakan metode paling klasik yaitu denganpengumpulan laporan secara rutin atau berkala. Contoh pengumpulan data rutin adalah proses registrasi penduduk (Kartu Tanda Penduduk/KTP), laporan rutin puskesmas (Form LB), laporan rutin rumah sakit (Form RL)

  7. Type of Routine Data Collection Methods • Health Unit Data Collection • Daily health care activity • Collecting data for patient/client and health unit management • Medical Report • Community Data Collection • to monitor the community activities, representative data, planning for health services • Pelaksana  health unit staff, community heath worker (kader) • Ex : angka kematian, angka kelahiran, migrasi • Civil Registration • Ex : cencus data

  8. Nonroutine Data Collection Methods Metode nonrutin meliputi • survei (ex : epidemiologi, sosiologi, anthropologi, ekonomi, Riskesdas, Rifaskes, dll) • rapid assessment prosedures • Individual intervews • Focus groups • Participant observation • survei demografi (ex : kelahiran, kematian, migrasi) • metode penelitian yang lain

  9. Link Between Routine dan Nonroutine Methods Routine data collection methods Nonroutine data collection methods

  10. Instrument of Collecting Data Instrumen untuk pengumpulan data harus memenuhi beberapa syarat untuk mendapat data yang akurat dan reliable yaitu : • Relevance. Kesesuaian instrumen dengan informasi yang akan diukur • Feasibility. Kesesuaian instrumen dengan segala sarana prasarana yang mendukung • Burden. Kesesuaian instrumen dengan tingkat efektifitas waktu, usaha dan tenaga pada proses pengumpulan data • Layout. Kesesuaian instrumen dengan jenis informasi yang akan dikumpulkan • Clarity. Kejelasanpetunjukpengisian instrument

  11. Data Transmission • Proses transmisi data adalah proses transfer data mentah dari suatu tingkat level manjemen ke tingkat level manajemen berikutnya. • Proses transfer data mentah ini diperlukan untuk menjamin kualitas dan relevansi data. • Proses transmisi data ini membutuhkan aturan baku untuk menjamin kualitas data dan keamanan data.

  12. Type Data Transmission • Vertical data transmission • Horizontal data transmission Vertical data transmission (Between level of health system) Feed back Horizontal data transmission (Between actor and consumers at the same level) Feed back

  13. Characteristic of Vertical Data Transmission

  14. Data Processing Goal of data processing is to present information in a way that aids decision making at all level of the health care system Raw data Information Error (inconsistencies, data misssing, duplicate record, etc.) Data sources

  15. Minimizing Error Collection Prosses Good instrument Data Cleaning Good recording, reporting Agregation of Raw data Good processing data Information

  16. Data Processing Operation • Editing Editing to correct inconsistencies and to eliminate error • Coding Conversion of entries on form or registers into symbol • Data Entry Transfer data from original document to the computer • Tabulating Rearranging the data in order to provide the most usefull chart or figure for decision maker

  17. Information • Tabel • Grafik • Gambar • Parameter • Statistik • Indikator • Index

  18. Index dan Indicator • Indicator • Indikator jumlah • Indikator proporsi • Indikator rate • Indikator rasio • Index • Index merupakan mengukuran yang lebih kompleks dan multidimensional dengan melibatkan sekumpulan (agregate) indikator. • Pada umunya indeks dikembangkan untuk kebutuhan-kebutuhan tertentu. Misalnya : Indeks pembangunan daerah, pengukuran indeks ini membutuhkan proses yang multidimensional dari berbagai indikator pembangunan daerah.

  19. Contoh Indikator

  20. To Improve and Ensure Data Quality • Keep the design of the information system as simple as possible • Involve users in the design of the system • Standardize procedure and definitions • Design of data collection instruments • Develop an appropriate incentive structure • Planning for effective checking procedure • Training

More Related