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    Home / Central Data Catalog / SIEF / PHL_2014_I3QUIPIE-BL_V01_M / variable [F5]
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
157601
Downloads
27171
  • 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 [spontaneous] (D2_6_Spon)

Data file: E05_noID

Overview

Valid: 34
Type: Discrete
Start: 2953
End: 3160
Width: 208
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
Attitude, Transportation 1
2.9%
Austerity/thriftiness 1
2.9%
Availability 1
2.9%
Behavior of patients 1
2.9%
Belief on Herbal Medication 1
2.9%
Beliefs that supplement are better 1
2.9%
Beliefs to old practices; Behavior of patient and health care provider; lack of skills & knowledge of staff and patient 1
2.9%
Busy in work 1
2.9%
Drug side effects 1
2.9%
Failure of health management to interpret the morbidity data; wrong purcahse of meds./wrong prioritation; mfailure of health management to stick to the essential drug list prescribe by National Drug Formulary 1
2.9%
LGU Procurement delayed very ofter 1
2.9%
Lack of self care, Lack of IEC 1
2.9%
Lack of time 1
2.9%
Listen to what other people say regarding a medicine 1
2.9%
Media Advertisement/Misinformation about herbal suppliments 1
2.9%
Patient is hard headed 1
2.9%
Patient's compliance 1
2.9%
Patient's lack of willingness to what for their turn 1
2.9%
Personal beliefs 1
2.9%
Poor health seeking behavior, religious belief 1
2.9%
Prefer other care providers 1
2.9%
RHU can't produce all medicines 1
2.9%
Referral to comply 1
2.9%
Refusal 1
2.9%
Refusal to comply 1
2.9%
Refusal to take meds. 1
2.9%
Reliious belief 1
2.9%
Side effects 1
2.9%
Side effects, Poor compliance 1
2.9%
Stubborn patients 1
2.9%
Transportation 1
2.9%
Unavalability of medications 1
2.9%
cultural misconception/side effects 1
2.9%
side effects of medicines, patients stop from taking medicines 1
2.9%
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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