Identification of the most appropriate variables for measuring the efficiency of Iranian public hospitals: Using Delphi technique | Zendy

Aziz Rezapour | Zendy; Zeynab Foroughi | Zendy; Niusha Shahidi Sadeghi | Zendy; Mehran Faraji | Zendy; Alireza Mazdaki | Zendy; Ali Sarabi Asiabar | Zendy; Noureddin Niknam | Zendy; Keivan Rahmani | Zendy; Saeed Mohammadpour | Zendy

Open Access

Identification of the most appropriate variables for measuring the efficiency of Iranian public hospitals: Using Delphi technique

Author(s) -

Aziz Rezapour,

Zeynab Foroughi,

Niusha Shahidi Sadeghi,

Mehran Faraji,

Alireza Mazdaki,

Ali Sarabi Asiabar,

Noureddin Niknam,

Keivan Rahmani,

Saeed Mohammadpour

Publication year - 2019

Publication title -

journal of education and health promotion

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.241

H-Index - 5

eISSN - 2319-6440

pISSN - 2277-9531

DOI - 10.4103/jehp.jehp_402_18

Subject(s) - delphi method , delphi , context (archaeology) , measure (data warehouse) , variables , identification (biology) , computer science , nonparametric statistics , process (computing) , medicine , statistics , data mining , mathematics , geography , artificial intelligence , machine learning , operating system , botany , archaeology , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom

About

About Careers Publisher Partners Contact Us Our institutional solutions Get Organisational Trial or Quote

Learn

FAQs Blog Terms of Use Privacy Policy

Download the Zendy App

Discover

Explore

Home ZAIA Blog