Open AccessIdentification 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 , botany , biology , operating system , archaeology