Job classification in health research in Iran: a case of a developing country

oleh: Neda Bayat, Kazem Mohammad, Reza Majdzadeh, Arash Etemadi, Saharnaz Nedjat

Format: Article
Diterbitkan: Tehran University of Medical Sciences 2015-10-01

Deskripsi

Background & Aim: Due to lack of a unique and acceptable classification scheme for occupation in Iran, the role of this measure has been ignored in many health researches. We aimed to find a suitable classification . Methods  & Materials:  In-depth  interviews  with  expert  health  professionals  were done through purposeful sampling.  They  expressed  their  opinions  on five commonly  used  occupational  based socio-economic measures  in  the  world  to  develop  a  consensus  draft  for  Iranian  occupational classification. The main themes were identified by content analysis. Results: The experts agreed that the National Statistics Socio-economic Classification was the most compatible job  classification  for  Iran’s health  researches.  Some  of  the  problems  in  occupation assessment in health research were also clarified through interviews. Conclusion: Job classification would better consist of more than one job dimension; the economic parameters are not stable and accurately measurable, so more social aspects of occupation such as the authority and control over workforce should be considered.