What the study found
The study found that combining palliative care and lean health care was associated with shorter hospital stays in a Brazilian public hospital. It also found that the total number of hospital deaths stayed statistically stable while deaths shifted between units.
Why the authors say this matters
The authors conclude that lean standardization and multiprofessional training may help optimize critical resources and reduce waste in the Brazilian Unified Health System (SUS). They also say the model expands access, reduces inequalities, and promotes dignity at the end of life, aligning with Sustainable Development Goals 3, 10, and 12.
What the researchers tested
The researchers used a mixed-methods design in one Brazilian public hospital. They combined qualitative documentary analysis of the Palliative Care Committee and clinical protocols with quantitative analysis of hospital indicators using statistical tests and interrupted time series analysis.
What worked and what didn't
Average length of stay decreased in intensive care unit/intermediate units from 7.1 to 5.5 days and in wards from 5.6 to 5.0 days. Interrupted time series analysis found an immediate reduction of 0.97 day in ward length of stay, followed by a sustained monthly decrease of 0.135 day. Despite a 26.9% increase in medical visits, total hospital deaths were statistically stable; deaths decreased in intermediate units and increased in wards.
What to keep in mind
The authors note that aggregated data without individual adjustment limits generalizability. They also say future multicenter studies should include outcomes focused on patient quality of life.
- Shorter average lengths of stay were reported in ICU/intermediate units and in wards.
- Total hospital deaths remained statistically stable even as deaths moved between units.
- Interrupted time series analysis showed an immediate and sustained reduction in ward length of stay.
- The study used documentary analysis plus quantitative hospital indicator analysis.
- The authors say the findings support resource optimization and reduced waste in SUS.