STUDY OBJECTIVES: Pediatric polysomnography can result in suboptimal patient and provider (physician and advanced practice provider) experiences. We embarked on a project aimed at increasing the proportion of maximal satisfaction survey scores by a minimum of 10% in 1 year without adding personnel or major expenses. METHODS: We used a Six Sigma framework, define, measure, analyze, improve, and control (DMAIC), to conduct our analysis. For measurement, we designed a project-specific survey that was given to caregivers of children who underwent PSG in February 2018 and repeated the survey after interventions in February 2019. Lean and Six Sigma quality improvement tools were used to define important processes that influence patient satisfaction, including: supplier, input, process, output, customer, and requirements (SIPOC-R); journey mapping; 1-2-4-All brainstorming; and views solicited from our center's Patient and Family Advisory Council. We analyzed the relationships between identified processes and outcomes using usual descriptive statistics. We prioritized interventions using a Kano model and a quality function deployment (QFD) technique to rank priorities for interventions. Multiple opportunities to improve patient and family satisfaction before, during, and after a pediatric polysomnography were identified. Many were simple, one-step interventions and were implemented simultaneously. For those that required substantial training and/or scheduling changes, pilots were performed and plan, do, study, act (PDSA) cycles were used to check effectiveness. RESULTS: After implementation, top box scores rose 20%, from 51% (n = 47) in 2018 to 71% (n = 50) in 2019. CONCLUSIONS: Various quality improvement techniques employed in business, engineering, and manufacturing were used to identify and address areas of improvement in the pediatric polysomnography experience.
STUDY OBJECTIVES: Pediatric polysomnography can result in suboptimal patient and provider (physician and advanced practice provider) experiences. We embarked on a project aimed at increasing the proportion of maximal satisfaction survey scores by a minimum of 10% in 1 year without adding personnel or major expenses. METHODS: We used a Six Sigma framework, define, measure, analyze, improve, and control (DMAIC), to conduct our analysis. For measurement, we designed a project-specific survey that was given to caregivers of children who underwent PSG in February 2018 and repeated the survey after interventions in February 2019. Lean and Six Sigma quality improvement tools were used to define important processes that influence patient satisfaction, including: supplier, input, process, output, customer, and requirements (SIPOC-R); journey mapping; 1-2-4-All brainstorming; and views solicited from our center's Patient and Family Advisory Council. We analyzed the relationships between identified processes and outcomes using usual descriptive statistics. We prioritized interventions using a Kano model and a quality function deployment (QFD) technique to rank priorities for interventions. Multiple opportunities to improve patient and family satisfaction before, during, and after a pediatric polysomnography were identified. Many were simple, one-step interventions and were implemented simultaneously. For those that required substantial training and/or scheduling changes, pilots were performed and plan, do, study, act (PDSA) cycles were used to check effectiveness. RESULTS: After implementation, top box scores rose 20%, from 51% (n = 47) in 2018 to 71% (n = 50) in 2019. CONCLUSIONS: Various quality improvement techniques employed in business, engineering, and manufacturing were used to identify and address areas of improvement in the pediatric polysomnography experience.
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