Improving Identification of Gig Workers in National Health and Behavior Surveys.
New Solut
; : 10482911241269313, 2024 Aug 09.
Article
in En
| MEDLINE
| ID: mdl-39119728
ABSTRACT
This paper describes the work-related information collected in several important U.S. national health and behavior surveys, to highlight data gaps that prevent identifying responses by vulnerable workers in the gig economy, with emphasis on the growing digital platform sector of the work force. The national information systems used to understand health status and health behaviors, including drug use, rely on outdated census categories for self-employed workers. This paper describes the importance of understanding the needs of this growing part of the labor sector and describes how some of the most well-known and utilized national surveys fail to meet this need. For the agencies conducting national health and behavior surveys, we propose revisions to the categories used to classify type of worker and recommend adoption of a new Worker-Employer Relationship Classification model.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
New Solut
/
New solut. (Online)
/
New solutions (Online)
Journal subject:
MEDICINA OCUPACIONAL
/
SAUDE AMBIENTAL
Year:
2024
Document type:
Article
Affiliation country:
Estados Unidos
Country of publication:
Estados Unidos