TY - JOUR
T1 - Using quality improvement methods and time-driven activity-based costing to improve value-based cancer care delivery at a Cancer Genetics clinic
AU - Tan, Ryan Y.C.
AU - Met-Domestici, Marie
AU - Zhou, Ke
AU - Guzman, Alexis B.
AU - Lim, Soon Thye
AU - Soo, Khee Chee
AU - Feeley, Thomas W.
AU - Ngeow, Joanne
N1 - Publisher Copyright:
Copyright © 2016 by American Society of Clinical Oncology.
PY - 2016/3
Y1 - 2016/3
N2 - Purpose: To meet increasing demand for cancer genetic testing and improve value-based cancer care delivery, National Cancer Centre Singapore restructured the Cancer Genetics Service in 2014. Care delivery processes were redesigned. We sought to improve access by increasing the clinic capacity of the Cancer Genetics Service by 100% with in 1 year without increasing direct personnel costs. Methods: Process mapping and plan-do-study-act (PDSA) cycles were used in a quality improvement project for the Cancer Genetics Service clinic. The impact of interventions was evaluated by tracking the weekly number of patient consultations and access times for appointments between April 2014 and May 2015. The cost impact of implemented process changes was calculated using the time-driven activity-based costing method. Results: Our study completed two PDSA cycles. An important outcome was achieved after the first cycle: The inclusion of a genetic counselor increased clinic capacity by 350%. The number of patients seen per week increased from two in April 2014 (range, zero to four patients) to seven in November 2014 (range, four to 10 patients). Our second PDSA cycle showed that manual preappointment reminder calls reduced the variation in the nonattendance rate and contributed to a further increase in patients seen per week to 10 in May 2015 (range, seven to 13 patients). There was a concomitant decrease in costs of the patient care cycle by 18% after both PDSA cycles. Conclusion: This study shows how quality improvement methods can be combined with time-driven activity-based costing to increase value. In this paper, we demonstrate how we improved access while reducing costs of care delivery.
AB - Purpose: To meet increasing demand for cancer genetic testing and improve value-based cancer care delivery, National Cancer Centre Singapore restructured the Cancer Genetics Service in 2014. Care delivery processes were redesigned. We sought to improve access by increasing the clinic capacity of the Cancer Genetics Service by 100% with in 1 year without increasing direct personnel costs. Methods: Process mapping and plan-do-study-act (PDSA) cycles were used in a quality improvement project for the Cancer Genetics Service clinic. The impact of interventions was evaluated by tracking the weekly number of patient consultations and access times for appointments between April 2014 and May 2015. The cost impact of implemented process changes was calculated using the time-driven activity-based costing method. Results: Our study completed two PDSA cycles. An important outcome was achieved after the first cycle: The inclusion of a genetic counselor increased clinic capacity by 350%. The number of patients seen per week increased from two in April 2014 (range, zero to four patients) to seven in November 2014 (range, four to 10 patients). Our second PDSA cycle showed that manual preappointment reminder calls reduced the variation in the nonattendance rate and contributed to a further increase in patients seen per week to 10 in May 2015 (range, seven to 13 patients). There was a concomitant decrease in costs of the patient care cycle by 18% after both PDSA cycles. Conclusion: This study shows how quality improvement methods can be combined with time-driven activity-based costing to increase value. In this paper, we demonstrate how we improved access while reducing costs of care delivery.
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U2 - 10.1200/JOP.2015.007765
DO - 10.1200/JOP.2015.007765
M3 - Article
C2 - 26759493
AN - SCOPUS:84962586932
SN - 1554-7477
VL - 12
SP - e320-e331
JO - Journal of Oncology Practice
JF - Journal of Oncology Practice
IS - 3
ER -