PURPOSE: ASCO guidelines recommend palliative care (PC) referral for patients with advanced or metastatic cancer. Despite this, implementation has considerable hurdles. First-year oncology fellows at our institution identified low rates of PC utilization in their longitudinal clinic as a metric needing improvement. METHODS: A fellow-led multidisciplinary team aimed to increase PC utilization for patients with advanced cancer followed in he first-year fellows' clinic from a baseline of 11.5% (5 of 43 patients, July to December of 2018) to 30% over a 6-month period. Utilization was defined as evaluation in the outpatient PC clinic hosted in the cancer center. The team identified the following barriers to referral: orders difficult to find in the electronic medical record (EMR), multiple consulting mechanisms (EMR, by phone, or in person), EMR request not activating formal consult, no centralized scheduler to contact or confirm appointment, and poor awareness of team structure. Plan-Do-Study-Act (PDSA) cycles were implemented based on identified opportunities. Data were obtained from the EMR. RESULTS: The first PDSA cycle included focus groups with stakeholders, standardizing referral process via single order set, identifying a single scheduler with bidirectional communication, and disseminating process changes. PDSA cycles were implemented from January to June of 2019. Rates of PC use increased from 11.5% before the intervention to 48.4% (48 of 99 patients) after the intervention. CONCLUSION: A multidisciplinary approach and classic quality improvement methodology improved PC use in patients with advanced cancer. The pilot succeeded given the small number of fellows, buy-in from stakeholders, and institutional and leadership support. Straightforward EMR interventions and ancillary staff use are effective in addressing underreferrals.
PURPOSE: ASCO guidelines recommend palliative care (PC) referral for patients with advanced or metastatic cancer. Despite this, implementation has considerable hurdles. First-year oncology fellows at our institution identified low rates of PC utilization in their longitudinal clinic as a metric needing improvement. METHODS: A fellow-led multidisciplinary team aimed to increase PC utilization for patients with advanced cancer followed in he first-year fellows' clinic from a baseline of 11.5% (5 of 43 patients, July to December of 2018) to 30% over a 6-month period. Utilization was defined as evaluation in the outpatient PC clinic hosted in the cancer center. The team identified the following barriers to referral: orders difficult to find in the electronic medical record (EMR), multiple consulting mechanisms (EMR, by phone, or in person), EMR request not activating formal consult, no centralized scheduler to contact or confirm appointment, and poor awareness of team structure. Plan-Do-Study-Act (PDSA) cycles were implemented based on identified opportunities. Data were obtained from the EMR. RESULTS: The first PDSA cycle included focus groups with stakeholders, standardizing referral process via single order set, identifying a single scheduler with bidirectional communication, and disseminating process changes. PDSA cycles were implemented from January to June of 2019. Rates of PC use increased from 11.5% before the intervention to 48.4% (48 of 99 patients) after the intervention. CONCLUSION: A multidisciplinary approach and classic quality improvement methodology improved PC use in patients with advanced cancer. The pilot succeeded given the small number of fellows, buy-in from stakeholders, and institutional and leadership support. Straightforward EMR interventions and ancillary staff use are effective in addressing underreferrals.
Authors: Sarah Schellhorn Mougalian; David S Lessen; Randy L Levine; Georgia Panagopoulos; Jamie H Von Roenn; Robert M Arnold; Susan D Block; Mary K Buss Journal: J Support Oncol Date: 2013-06
Authors: Carlos Centeno; Eduardo Garralda; José Miguel Carrasco; Marlieke den Herder-van der Eerden; Melissa Aldridge; David Stevenson; Diane E Meier; Jeroen Hasselaar Journal: J Palliat Med Date: 2017-05-16 Impact factor: 2.947
Authors: Camilla Zimmermann; Nadia Swami; Monika Krzyzanowska; Breffni Hannon; Natasha Leighl; Amit Oza; Malcolm Moore; Anne Rydall; Gary Rodin; Ian Tannock; Allan Donner; Christopher Lo Journal: Lancet Date: 2014-02-19 Impact factor: 79.321
Authors: Ann S O'Malley; Joy M Grossman; Genna R Cohen; Nicole M Kemper; Hoangmai H Pham Journal: J Gen Intern Med Date: 2009-12-22 Impact factor: 5.128