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    Home / Central Data Catalog / SIEF / PHL_2014_I3QUIPIE-BL_V01_M / variable [F4]
sief

Impact of Incentives and Information on Quality and Utilization in Primary Care 2014, Baseline Survey

Philippines, 2014
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Reference ID
PHL_2014_I3QUIPIE-BL_v01_M
DOI
https://doi.org/10.48529/yv2x-rq07
Producer(s)
Damien B.C.M da Walque, Taejong Kim, John Basa
Collection(s)
The Strategic Impact Evaluation Fund (SIEF) Impact Evaluation Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Feb 03, 2017
Last modified
Jul 10, 2019
Page views
229883
Downloads
28581
  • Study Description
  • Data Description
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  • Data files
  • A01_noID
  • B02_noID
  • C03_noID
  • D04_noID
  • E05_noID
  • F06_noID
  • G07_noID
  • G7X_noID
  • H08_noID
  • I09_noID

Others, specify (I20_G_O)

Data file: D04_noID

Overview

Valid: 43
Invalid: 0
Type: Discrete
Start: 3877
End: 3947
Width: 71
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Always available (medicines) 1
2.3%
Barrow from other LGUs 1
2.3%
Borrow from Govt. Hospital 1
2.3%
Borrow to other Facility ( RHU ) 1
2.3%
DOH; Advance request 1
2.3%
Dr's Prescription 1
2.3%
Email with DOH 1
2.3%
Emergency Purchase 4
9.3%
Emergency purchase 6
14%
Emergency purchase by MHO 1
2.3%
Emergency purchases, Borrow from the BPH 1
2.3%
Get from Government Hospital 1
2.3%
Get from Itbayat District Hospital 1
2.3%
Inform DOH 1
2.3%
Liloy tied up team (District Hospital) 1
2.3%
MHO 1
2.3%
N/A-we never run out of medicines & supplies 1
2.3%
Never run out of stocks ever since 1
2.3%
Prescribe 1
2.3%
Prescribe medicines 1
2.3%
Prescribe the patients 1
2.3%
Prescription 2
4.7%
Request budget from LGU 1
2.3%
Request from the LGU 1
2.3%
Request to DOH 1
2.3%
Shift to Herbal 1
2.3%
Sometimes the replacement from the Pho will jst arrive even w/o request 1
2.3%
Supplies- get from other ifficers 1
2.3%
They have an agreement with the supplier to have an advance delivery 1
2.3%
Through Prescription 3
7%
depends on status quo 1
2.3%
we buy them 1
2.3%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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