Routine Collection of Patient-Reported Outcomes in Thoracic Surgery: A Quality Improvement Study.

BACKGROUND: Patient-reported outcomes are critical for delivering high-quality surgical care, yet they are seldom collected in routine clinical practice. The objective of this quality improvement study was to improve routine patient-reported outcomes collection in a thoracic surgery clinic. METHODS: Thoracic surgery patients at a single academic institution were prospectively monitored from April 2019 to March 2020. The National Institutes of Health-validated Patient-Reported Outcomes Measurement Information System (PROMIS) was used. Using a Model for Improvement design and through multidisciplinary participant observation, we performed multiple plan-do-study-act cycles, an iterative, 4-stage model for rapidly testing interventions, to improve routine collection reliability. RESULTS: During the study period, 2315 patient visits occurred. The baseline PROMIS assessment collection rate was 53%. After convening a multidisciplinary stakeholder team, the key drivers for PROMIS collection were having engaged staff, engaged patients, adequate technological capacity, and adequate time for survey completion, including when to complete the survey during the patient visits. Regular meetings between stakeholders were initiated to promote these key drivers. Several plan-do-study-act cycles were then used to test different interventions, resulting in several positive system shifts, as demonstrated on a statistical process control chart. Adherence to survey collection reached 91% of office visits by approximately 7 months, a 72% relative improvement, which was sustained. CONCLUSIONS: Routine collection of patient-reported outcomes, such as PROMIS, are critical for improving thoracic surgical care. Our study shows that reliably collecting these data is possible in a clinical setting with minimal additional hospital resources.

Implementing an Application Programming Interface for PROMIS Measures at Three Medical Centers.

BACKGROUND: There is an increasing body of literature advocating for the collection of patient-reported outcomes (PROs) in clinical care. Unfortunately, there are many barriers to integrating PRO measures, particularly computer adaptive tests (CATs), within electronic health records (EHRs), thereby limiting access to advances in PRO measures in clinical care settings. OBJECTIVE: To address this obstacle, we created and evaluated a software integration of an Application Programming Interface (API) service for administering and scoring Patient-Reported Outcomes Measurement Information System (PROMIS) measures with the EHR system. METHODS: We created a RESTful API and evaluated the technical feasibility and impact on clinical workflow at three academic medical centers. RESULTS: Collaborative teams (i.e., clinical, information technology [IT] and administrative staff) performed these integration efforts addressing issues such as software integration as well as impact on clinical workflow. All centers considered their implementation successful based on the high rate of completed PROMIS assessments (between January 2016 and January 2021) and minimal workflow disruptions. CONCLUSION: These case studies demonstrate not only the feasibility but also the pathway for the integration of PROMIS CATs into the EHR and routine clinical care. All sites utilized diverse teams with support and commitment from institutional leadership, initial implementation in a single clinic, a process for monitoring and optimization, and use of custom software to minimize staff burden and error.