RESUMO
Objective: Characterize antibiotic prescribing behaviors at an Indian palliative care center after the initiation of the Antibiotic Order Form (AOF): an antibiotic stewardship program involving a paper form to track antibiotic use and to provide prescription guidelines. Design: Retrospective chart review. Setting: Trivandrum Institute of Palliative Sciences (TIPS) is a palliative care organization in Kerala, India. Methods: Antibiotic prescription data and patient data were collected for adult patients treated at TIPS between January 1, 2017, and October 31, 2019. Descriptive statistics and a Zero-Inflated Poisson regression model were used to analyze antibiotic prescriptions. AOF completion and prescription concordance with institutional guidelines were also evaluated. Results: Out of 7,450 unique patients, 675 (9%) were prescribed 1,448 antibiotics. Age was the strongest factor in determining the number of antibiotic courses with each additional year of age decreasing the expected antibiotic prescription count by 2% per year. The most common antibiotics prescribed were topical metronidazole (44%) and penicillins (29%). Among patients who died, 5% were prescribed antibiotics within the final month of life. In total, 32% of antibiotic prescriptions were documented in AOFs, and 18% were concordant with all institutional antibiotic prescribing guidelines. Conclusions: This study is the first to analyze an antibiotic stewardship intervention in a palliative care setting within a low- and middle-income country. This retrospective study provides a benchmark of antibiotic use within Indian palliative care and highlights areas for future stewardship research including topical metronidazole use within palliative care and higher rates of antibiotic use among younger palliative care patients.
RESUMO
CONTEXT: The city homecare unit (CHU) of the Trivandrum Institute of Palliative Sciences was dissatisfied with the quality of care provided to their patient population. AIMS: This study aims to improve the average satisfaction score of CHU during their daily homecare services. SETTINGS AND DESIGN: The improvement project for the CHU activities was conducted with a prospective plan-do-study-act design, with stepwise application of improvement tools. MATERIALS AND METHODS: The A3 quality improvement (QI) methodology, which uses tools for (i) analysing contributors (process mapping, cause-effect diagram); (ii) to derive key drivers (Pareto chart) and (iii) for measuring impact of interventions and sustainability (annotated run chart) was applied. The project was conducted as a mentored activity of the PC-PAICE program. The team's weekly average satisfaction score was recorded prospectively as the outcome parameter, with 0 representing total dissatisfaction and 10 representing total satisfaction. Accuracy of triaging and appropriateness of registration process were the process parameters selected. These were recorded as run charts across the project period of 9 months. ANALYSIS AND RESULTS: The cause-effect tool and the impact effort tool were used to analyse the mapped CHU processes. Even though we identified 22 contributors to the problem, eight of them were found to be significant. Key drivers were determined based on these eight and applied to the CHU processes. Over the project period, the satisfaction scores of the CHU improved significantly from 5.82 to 7.6 that is, satisfaction levels were high on most days. The triaging and registration goals were achieved. The team also built its own capacity for QI. CONCLUSION: The application of the A3 methodology simplified and streamlined efforts and achieved the quality goal for the CHU team.
