Cause-effect chains in S-LCA based on DPSIR framework using Markov healthcare model: an application to “working hours” in Canada

Abstract Purpose This study has two aims: first, propose the use of driver-pressure-state-impact-response (DPSIR) framework to expand normal focus impact pathways in social life cycle assessment (S-LCA) on endpoint impacts a systematic analysis find links between main sources issues and impacts; second, develop new method quantify lifetime health economic outcomes associated with subcategories, for first time, using decision analytic models. Methods The DPSIR is mapped corresponding elements S-LCA context relation subcategories defined UNEP/SETAC methodological sheets. Next, more robust approach developed cause-impact chains human well-being based decision-analytic models (decision trees Markov models) healthcare approaches data. Finally, consequences are quantified by Quality Adjusted Life Years (QALYs) costs medical literature studies. Results discussion was applied “working hours” subcategory Canada. cause-effect chain built current issue Canada working than standard hours. model show that hours effective cost-saving from Canadian perspective. Working compared led an increase 0.73 QALY decrease cost $6702 per worker. Based estimated 2.4 million workers hours, this resulted total gain 1.7 QALYs saving $16 billion overall. Using cost-effectiveness analysis, possible interventions at multiple entry points within proposed reduce negative Conclusions Applying other could help decision-makers establish aspects performance their product systems quantitative supports corporate supply calculating socio-economic conditions enabling them identify improve performance.