Putting ROPS Research into Practice: Paving the Way for a National Program
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2020/11/12
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By Sorensen JA
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Series: Grant Final Reports
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Description:Farmers have considerably elevated rates of occupational fatality, as compared to other U.S. industries. Although this fact alone warrants consideration, it is even more remarkable to note that the most frequent cause of death on farms, tractor overturns, has a readily amenable solution, which is the installation of rollover protective structures (ROPS). ROPS are commercially available and 99% effective in protecting a tractor operator from death and injury. However, 40% of U.S. tractors lack this crucial safety technology. The over-arching objective of this proposal was to translate the wealth of knowledge about ROPS and interventional strategies into a national program that would decisively address the issue of tractor overturn fatalities. To do this, the research team worked to establish evidence-based ROPS installation programs in high-risk states, while at the same time mobilizing the stakeholder investment necessary for launching a National ROPS Rebate Program. Evaluation of the implementation process in high-risk states included a structured, staged approach, which provided valuable information on how program fidelity is maintained in these environments. Evaluation of efforts to mobilize a collaborative, multi-industry approach to national program implementation involved an exploration of the research translation process and the barriers and facilitators that come with the translation of evidence-based research to worker environments. Research activities included a scoping literature review on occupational safety and health (OSH) interventions that have made it to the later stages of the T0-T4 model. Manuscripts were identified through six databases. A survey was also conducted utilizing the Consolidated Framework for Implementation Research (CFIR) to examine the process for the National ROPS Rebate Program (NRRP) implementation. Using the results from this survey, quantitative and qualitative evaluation tools were developed. Following this survey, a repeat measures survey was used to collect CFIR and Proctor construct data at four time points. Qualitative research interviews were also conducted in order to facilitate a Grounded Theory Situational Analysis. A cost benefit analysis of one state program was also conducted to look at the cost-effectiveness of the ROPS Rebate Program model. Through this research, the research team: 1) modified T0-T4 research translation model, 2) identified 21 CFIR and Proctor constructs that National Tractor Safety Coalition members believed would be important to the NRRP implementation, 3) identified eight CFIR and Proctor constructs highly correlated (rho >/= 0.5) with at least one outcome measure (progress, intakes, or retrofits), 4) discovered in qualitative interviews that the NRRP implementation evolved inconsistently across stakeholders and stakeholder engagement was tied to perceived feasibility and "small wins" and 5) the cost-benefit analysis of the NY program demonstrated an almost $5 million savings as a direct result of the ROPS rebate program. [Description provided by NIOSH]
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Pages in Document:1-50
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NIOSHTIC Number:nn:20063058
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NTIS Accession Number:PB2022-100489
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Citation:Atlanta, GA: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, U01-OH-010967, 2020 Nov; :1-50
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Contact Point Address:Julie Ann Sorensen, PhD, Northeast Center for Occupational Safety and Health: Agriculture, Forestry and Fishing, Bassett Medical Center, One Atwell Rd., Cooperstown, NY 13326
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Email:julie.sorensen@bassett.org
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Federal Fiscal Year:2021
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Performing Organization:Mary Imogene Bassett Hospital, Cooperstown, New York
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Peer Reviewed:False
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Start Date:20150901
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Source Full Name:National Institute for Occupational Safety and Health
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End Date:20190831
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Main Document Checksum:urn:sha-512:c8fa2f256a53c3e136e65eff8f684569e1c00c75a52c449b2c3f1e322f31382df52056832b3ce720b19016a961409b6ecefbd556e5eafbfe51dc35846cff69fd
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