| Literature DB >> 34078636 |
Malin K Johansson1, Marie Hasselberg1, Ritva Rissanen2.
Abstract
INTRODUCTION: There is a lack of studies that focus exclusively on return to work (RTW) and sick leave patterns following a work injury among young adults. This study aims to close the gap by contributing with knowledge regarding young adults' sick leave pattern after a work injury and their experience of RTW after a work injury in Sweden. METHODS AND ANALYSIS: The present study is a multimodal study, which will use Swedish national register data and qualitative data collection by photovoice. Injuries classified as work injuries according to the Swedish injury classification were included. Registry data will be retrieved from the Swedish National-based registers of Swedish Information System on Occupational Accidents and Work-related diseases, the Swedish Social Insurance Agency's database MicroData for Analysis of Social Insurance and the Swedish Longitudinal Integration Database for Health Insurance and Labour Market Studies. Persons who have registered a work injury at the Swedish Work Environment Authority in 2012 will be included. Sick leave patterns will be analysed using group-based trajectory models and multivariate analyses to explore how sick leave patterns have developed over 5 years. Subsequently, a participatory approach using photovoice method will be conducted to explore young adults' perceptions of barriers and facilitators in RTW after a work injury. Results from the photovoice group sessions will be analysed using a grounded theoretical approach. ETHICS AND DISSEMINATION: The study has been reviewed and approved by the Ethical Review Board (case number 2019/028-6) in Sweden. Results of the study will be disseminated through peer-reviewed journals, print and media presentation, conferences and via reports to the funding agency. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: occupational & industrial medicine; organisation of health services; public health
Mesh:
Year: 2021 PMID: 34078636 PMCID: PMC8173283 DOI: 10.1136/bmjopen-2020-045143
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Information on register database, retrieved variables and year
| Type of register database and variables | Year | ||||||
| 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | |
| ISA | |||||||
| Demographic characteristics | X | ||||||
| Occupational characteristics | X | ||||||
| Work injury characteristics | X | ||||||
| Date of injury | X | ||||||
| MiDAS | |||||||
| Sick leave characteristics | X | X | X | X | X | X | X |
| LISA | |||||||
| Socioeconomic status | X | X | X | X | X | X | X |
| Sickness benefit characteristics | X | X | X | X | X | X | X |
| Parents socioeconomic status | X | ||||||
| Immigration status | X | X | X | X | X | X | X |
| Date of death | X | X | X | X | X | X | X |
ISA, Information System on Occupational Accidents and Work-related diseases; LISA, Longitudinal Integration Database for Health Insurance and Labour Market Studies; MiDAS, MicroData for Analysis of Social Insurance.