How Much is Enough? Opioid Prescribing Practices and Patient-Reported Outcomes from a Single Institution Quality Improvement Project

BACKGROUND The Veteran Administration (VA) Office of Patient-Centered Care and Cultural Transformation is invested in improving veteran health through a whole-person approach while taking advantage of the electronic resources suite available through the VA. Currently, there is no standardized process to collect and integrate electronic patient-reported outcomes (ePROs) of complementary and integrative health (CIH) into clinical care using a web-based survey platform. This quality improvement project enrolled veterans attending CIH appointments within a VA facility and used web-based technologies to collect ePROs. OBJECTIVE This study aimed to (1) determine a practical process for collecting ePROs using patient email services and a web-based survey platform and (2) conduct analyses of survey data using repeated measures to estimate the effects of CIH on patient outcomes. METHODS In total, 100 veterans from one VA facility, comprising 11 cohorts, agreed to participate. The VA patient email services (Secure Messaging) were used to manually send links to a 16-item web-based survey stored on a secure web-based survey storage platform (Qualtrics). Each survey included questions about patient outcomes from CIH programs. Each cohort was sent survey links via Secure Messaging (SM) at 6 time points: weeks 1 through 4, week 8, and week 12. Process evaluation interviews were conducted with five primary care providers to assess barriers and facilitators to using the patient-reported outcome survey in usual care. RESULTS This quality improvement project demonstrated the usability of SM and Qualtrics for ePRO collection. However, SM for ePROs was labor intensive for providers. Descriptive statistics on health competence (2-item Perceived Health Competence Scale), physical and mental health (Patient-Reported Outcomes Measurement Information System Global-10), and stress (4-item Perceived Stress Scale) indicated that scores did not significantly change over time. Survey response rates varied (18/100, 18.0%-42/100, 42.0%) across each of the 12 weekly survey periods. In total, 74 of 100 participants provided ≥1 survey, and 90% (66/74) were female. The majority, 62% (33/53) of participants, who reported the use of any CIH modality, reported the use of two or more unique modalities. Primary care providers highlighted specific challenges with SM and offered solutions regarding staff involvement in survey implementation. CONCLUSIONS This quality improvement project informs our understanding of the processes currently available for using SM and web-based data platforms to collect ePROs. The study results indicate that although it is possible to use SM and web-based survey platforms for ePROs, automating scheduled administration will be necessary to reduce provider burden. The lack of significant change in ePROs may be due to standard measures taking a biomedical approach to wellness. Future work should focus on identifying ideal ePRO processes that would include standardized, whole-person measures of wellness.

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Orthopedic Surgeon Decision-Making Processes for Postsurgical Opioid Prescribing

Military Medicine ◽

10.1093/milmed/usz397 ◽

2019 ◽

Vol 185 (3-4) ◽

pp. e383-e388 ◽

Cited By ~ 1

Author(s):

Jason A Kopp ◽

Ashley B Anderson ◽

Jonathan F Dickens ◽

Andrew C Graf ◽

Crevan O Reid ◽

...

Keyword(s):

Chronic Pain ◽

Quality Improvement ◽

Orthopedic Surgery ◽

Orthopaedic Surgery ◽

Risk Mitigation ◽

Influential Factors ◽

Quality Improvement Project ◽

Prescribing Practices ◽

Improvement Project ◽

Opioid Prescribing

Abstract Introduction Acute pain and chronic pain are significant burdens in the Department of Defense, compounded by the ongoing opioid crisis. Given the ubiquity of (leftover) opioid prescriptions following orthopedic surgery, it is essential to identify feasible and acceptable avenues of opioid risk mitigation efforts. The present quality improvement project builds on recent studies by evaluating factors related to opioid prescribing decisions in a sample of orthopedic surgery providers. Materials and Methods This quality improvement project received a Determination of Not Research and was conducted through a collaboration between the Department of Orthopaedic Surgery and the Department of Anesthesiology and Pain Management at Walter Reed National Military Medical Center. Providers in the Department of Orthopaedic Surgery completed an anonymous online survey assessing opioid prescribing education, factors influencing prescribing practices, opioid-safety practices, and perspectives on potential opioid safety initiatives. Results In total, 39 respondents completed surveys. There was variability in exposure to different types of opioid prescribing education, with some variation between attendings/physician assistants and residents. Patients’ acute postsurgical pain, using a standardized amount for most patients, and prescription histories were the three most influential factors. Concern of patients running out and fear of patient dissatisfaction were the least influential factors. Respondents commonly reported engagement in promoting nonpharmacological pain management, as well as coordinating with chronic pain providers when applicable, but did not commonly report educating patients on leftover opioid disposal. Respondents indicated that a barrier to opioid risk mitigation was the difficulty of accessing appropriate electronic health record data to inform decisions. Lastly, they reported openness to proposed opioid safety initiatives. Conclusion The results of this quality improvement project identified several target areas for future initiatives focused on improving opioid prescribing practices. This included a provider training program, improved patient education system, increased awareness and use of opioid tracking databases, and development of a standardized (but adaptable per patient characteristics and history) recommended dose for common orthopedic surgeries. Future projects will target tailored development, implementation, and evaluation of such efforts.

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Using Electronic Data Collection Platforms to Assess Complementary and Integrative Health Patient-Reported Outcomes: Feasibility Project

JMIR Medical Informatics ◽

10.2196/15609 ◽

2020 ◽

Vol 8 (6) ◽

pp. e15609

Author(s):

Jolie N Haun ◽

Amy C Alman ◽

Christine Melillo ◽

Maisha Standifer ◽

Julie McMahon-Grenz ◽

...

Keyword(s):

Quality Improvement ◽

Patient Reported Outcomes ◽

Primary Care Providers ◽

Quality Improvement Project ◽

Care Providers ◽

Secure Messaging ◽

Web Based ◽

Improvement Project ◽

Integrative Health ◽

Patient Reported

Background The Veteran Administration (VA) Office of Patient-Centered Care and Cultural Transformation is invested in improving veteran health through a whole-person approach while taking advantage of the electronic resources suite available through the VA. Currently, there is no standardized process to collect and integrate electronic patient-reported outcomes (ePROs) of complementary and integrative health (CIH) into clinical care using a web-based survey platform. This quality improvement project enrolled veterans attending CIH appointments within a VA facility and used web-based technologies to collect ePROs. Objective This study aimed to (1) determine a practical process for collecting ePROs using patient email services and a web-based survey platform and (2) conduct analyses of survey data using repeated measures to estimate the effects of CIH on patient outcomes. Methods In total, 100 veterans from one VA facility, comprising 11 cohorts, agreed to participate. The VA patient email services (Secure Messaging) were used to manually send links to a 16-item web-based survey stored on a secure web-based survey storage platform (Qualtrics). Each survey included questions about patient outcomes from CIH programs. Each cohort was sent survey links via Secure Messaging (SM) at 6 time points: weeks 1 through 4, week 8, and week 12. Process evaluation interviews were conducted with five primary care providers to assess barriers and facilitators to using the patient-reported outcome survey in usual care. Results This quality improvement project demonstrated the usability of SM and Qualtrics for ePRO collection. However, SM for ePROs was labor intensive for providers. Descriptive statistics on health competence (2-item Perceived Health Competence Scale), physical and mental health (Patient-Reported Outcomes Measurement Information System Global-10), and stress (4-item Perceived Stress Scale) indicated that scores did not significantly change over time. Survey response rates varied (18/100, 18.0%-42/100, 42.0%) across each of the 12 weekly survey periods. In total, 74 of 100 participants provided ≥1 survey, and 90% (66/74) were female. The majority, 62% (33/53) of participants, who reported the use of any CIH modality, reported the use of two or more unique modalities. Primary care providers highlighted specific challenges with SM and offered solutions regarding staff involvement in survey implementation. Conclusions This quality improvement project informs our understanding of the processes currently available for using SM and web-based data platforms to collect ePROs. The study results indicate that although it is possible to use SM and web-based survey platforms for ePROs, automating scheduled administration will be necessary to reduce provider burden. The lack of significant change in ePROs may be due to standard measures taking a biomedical approach to wellness. Future work should focus on identifying ideal ePRO processes that would include standardized, whole-person measures of wellness.

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