Clinical Effectiveness of Decision Support for Prescribing Opioids for Chronic Noncancer Pain: A Prospective Cohort Study.

OBJECTIVES: This prospective cohort study examines the clinical effectiveness of electronic medical record clinical decision support (EMR CDS) for opioid prescribing. METHODS: Data analysis included primary care patients with chronic opioid therapy for noncancer pain seen within an integrated health delivery system in Louisiana between January 2017 and October 2018. EMR CDS incorporated an opioid health maintenance tool to display the status of risk mitigation, and the medication order embedded the morphine equivalent daily dose (MEDD) calculator and a hyperlink to the Louisiana pharmacy drug monitoring program. Outcome measures included change in the average MEDD and rates of opioid risk mitigation, hospitalization, and emergency department use. RESULTS: Among 14 221 patients, 9% had prescriptions with an average MEDD ≥90 mg. There were no significant changes in MEDD after EMR CDS implementation. Increasing age, Charlson Comorbidity Index score, female sex, black non-Hispanic race, non-opioid pain medication co-prescriptions, and specialty referrals were associated with a lower odds of MEDD ≥90 (high-dose threshold). Medicare or self-pay, substance abuse history, and pain agreements were associated with increased odds of prescribing above this high-dose threshold. After incorporation of EMR CDS, patients had higher rates of urine drug screens (17% vs 7%) and naloxone prescriptions (3% vs 1%, all P < .001). In addition, specialty referrals to physical or occupational therapy, orthopedics, neurology, and psychiatry or psychology increased in the postintervention period. Although emergency department use decreased (rate ratio 0.92; 95% confidence interval 0.89-0.95), hospitalization rates did not change. CONCLUSIONS: EMR CDS improved adherence to opioid risk mitigation strategies. Further research examining which practice redesign interventions effectively reduce high-dose opioid prescribing is needed.

Patient-reported outcomes in stroke clinical trials 2002-2016: a systematic review.

OBJECTIVE: Given the global and economic burden of stroke as a major cause of long-term disability, patient-reported outcomes (PRO) data from clinical trials can elucidate differential benefits/harms of interventions from patients' perspectives and influence clinical decision making in stroke care management. METHODS: This systematic review examines stroke-related randomized controlled trials (RCT) published in 12 high-impact journals between 2002 and 2016 for (1) associations between trial characteristics and the reporting of PRO measures; and (2) psychometric properties of PRO instruments used in these studies. The study combines clinical trials identified in a prior review with trials identified with an updated literature search. RESULTS: Only 34 of 159 stroke-related RCTs reported PRO measures. Among the 34 trials, most were published in rehabilitation and general medical journals, were conducted in the United States or Europe, were funded by government/non-industry sponsors, and focused on post-stroke care. Thirty-one PRO instruments were employed in these studies. Only 5 instruments were stroke-specific measures, whereas the remaining 26 instruments were generic measures. Eight instruments assessed functional status, 9 measured quality of life, and 14 assessed symptoms. The most common health domains measured were emotional status and physical function. CONCLUSIONS: This study highlights the paucity of information from patients' perspective in stroke-related RCTs. This trend may change over time as researchers increase adherence to reporting guidelines for clinical trial protocols.

Outpatient Complex Case Management: Health System-Tailored Risk Stratification Taxonomy to Identify High-Cost, High-Need Patients.

BACKGROUND: U.S. health systems, incentivized by financial penalties, are designing programs such as case management to reduce service utilization among high-cost, high-need populations. The major challenge is identifying patients for whom targeted programs are most effective for achieving desired outcomes. OBJECTIVE: To evaluate a health system's outpatient complex case management (OPCM) for Medicare beneficiaries for patients overall and for high-risk patients using system-tailored taxonomy, and examine whether OPCM lowers service utilization and healthcare costs. DESIGN: Retrospective case-control study using Medicare data collected between 2012 and 2016 for Ochsner Health System. PARTICIPANTS: Super-utilizers defined as Medicare patients with at least two hospital/ED encounters within 180 days of the index date including the index event. INTERVENTION: Outpatient complex case management. MAIN MEASURES: Propensity score-adjusted multivariable logistic regression analysis was conducted for primary outcomes (90-day hospital readmission; 90-day ED re-visit). A difference-in-difference analysis was conducted to examine changes in per membership per month (PMPM) costs based on OPCM exposure. KEY RESULTS: Among 18,882 patients, 1197 (6.3%) were identified as "high-risk" and 470 (2.5%) were OPCM participants with median enrollment of 49 days. High-risk OPCM cases compared to high-risk controls had lower odds of 90-day hospital readmissions (0.81 [0.40-1.61], non-significant) and lower odds of 90-day ED re-visits (0.50 [0.32-0.79]). Non-high-risk OPCM cases compared to non-high-risk controls had lower odds of 90-day hospital readmissions (0.20 [0.11-0.36]) and 90-day ED re-visits (0.66 [0.47-0.94]). Among OPCM cases, high-risk patients compared to non-high-risk patients had greater odds of 90-day hospital readmissions (4.44 [1.87-10.54]); however, there was no difference in 90-day ED re-visits (0.99 [0.58-1.68]). Overall, OPCM cases had lower total cost of care compared to controls (PMPM mean [SD]: - $1037.71 [188.18]). CONCLUSIONS: Use of risk stratification taxonomy for super-utilizers can identify patients most likely to benefit from case management. Future studies must further examine which OPCM components drive improvements in select outcome for specific populations.

Integrating community health workers into a patient-centered medical home to support disease self-management among Vietnamese Americans: lessons learned.

There is evidence that patient-centered medical homes (PCMHs) and community health workers (CHWs) improve chronic disease management. There are few models for integrating CHWs into PCMHs in order to enhance disease self-management support among diverse populations. In this article, we describe how a community-based nonprofit agency, a PCMH, and academic partners collaborated to develop and implement the Patient Resource and Education Program (PREP). We employed CHWs as PCMH care team members to provide health education and support to Vietnamese American patients with uncontrolled diabetes and/or hypertension. We began by conducting focus groups to assess patient knowledge, desire for support, and availability of community resources. Based on findings, we developed PREP with CHW guidance on cultural tailoring of educational materials and methods. CHWs received training in core competencies related to self-management support principles and conducted the 4-month intervention for PCMH patients. Throughout the program, we conducted process evaluation through structured team meetings and patient satisfaction surveys. We describe successes and challenges associated with PREP delivery including patient recruitment, structuring/documenting visits, and establishing effective care team integration, work flow, and communication. Strategies for mitigating these issues are presented, and we make recommendations for other PCMHs seeking to integrate CHWs into care teams.

Comparative effectiveness of audit-feedback versus additional physician communication training to improve cancer screening for patients with limited health literacy.

BACKGROUND: We designed a continuing medical education (CME) program to teach primary care physicians (PCP) how to engage in cancer risk communication and shared decision making with patients who have limited health literacy (HL). OBJECTIVE: We evaluated whether training PCPs, in addition to audit-feedback, improves their communication behaviors and increases cancer screening among patients with limited HL to a greater extent than only providing clinical performance feedback. DESIGN: Four-year cluster randomized controlled trial. PARTICIPANTS: Eighteen PCPs and 168 patients with limited HL who were overdue for colorectal/breast/cervical cancer screening. INTERVENTIONS: Communication intervention PCPs received skills training that included standardized patient (SP) feedback on counseling behaviors. All PCPs underwent chart audits of patients' screening status semiannually up to 24 months and received two annual performance feedback reports. MAIN MEASURES: PCPs experienced three unannounced SP encounters during which SPs rated PCP communication behaviors. We examined between-group differences in changes in SP ratings and patient knowledge of cancer screening guidelines over 12 months; and changes in patient cancer screening rates over 24 months. KEY RESULTS: There were no group differences in SP ratings of physician communication at baseline. At follow-up, communication intervention PCPs were rated higher in general communication about cancer risks and shared decision making related to colorectal cancer screening compared to PCPs who only received performance feedback. Screening rates increased among patients of PCPs in both groups; however, there were no between-group differences in screening rates except for mammography. The communication intervention did not improve patient cancer screening knowledge. CONCLUSION: Compared to audit and feedback alone, including PCP communication training increases PCP patient-centered counseling behaviors, but not cancer screening among patients with limited HL. Larger studies must be conducted to determine whether lack of changes in cancer screening were due to clinic/patient sample size versus ineffectiveness of communication training to change outcomes.

Stop the Divide: Facilitators and Barriers to Uptake of Digital Health Interventions Among Socially Disadvantaged Populations.

Background: The coronavirus disease 2019 pandemic ushered in rapid adoption of telehealth services. This study examines patient and provider experience and provides recommendations for facilitating the use of digital health interventions among socially disadvantaged populations. Methods: This qualitative study was conducted from May to July 2021 via semistructured interviews. Forty patients and 30 primary care providers (PCPs) in Louisiana were recruited within an integrated delivery health system and a rural health center. Technology acceptance models were used to develop a thematic coding scheme. Results: Most patients self-identified as Black (67.5%) and female (72.5%), had a mean age of 51 years, lived in an urban area (76.9%), and had Medicaid (57.9%). Most PCPs were White (79.3%) and male (51.7%), had a mean age of 39 years, and reported Medicaid as the predominant insurer (58.6%). Patient use of smartphones for internet access to health and nonhealth activities was common. PCPs noted the need to address misinformation or misinterpretation of information on the internet. Most patients had used a patient portal (72.5%) and noted the convenience of messaging. PCPs reported large increases in messaging workloads. Most patients had had telemedicine visits (65.6%); however, Wi-Fi/broadband problems limited video visits. PCPs expressed concerns regarding the types of chief complaints that are appropriate for telemedicine visits and reported workflow inefficiencies when clinic sessions had mixed visit types. Patients and PCPs valued remote telemonitoring as adjuncts to care; however, limited service availability and insurance coverage were barriers. Conclusion: Infrastructure barriers (broadband, insurance) and workload imbalance temper enthusiasm for using digital health solutions. Health systems should implement complementary patient and provider user-centric strategies for facilitating uptake of technology.

Depression, anxiety, pain and chronic opioid management in primary care: Type II effectiveness-implementation hybrid stepped wedge cluster randomized trial.

Even though current prescribing trends reveal that high-dose opioid prescribing and opioid prescribing in general has decreased, sustained efforts are needed to help providers adopt and maintain safe prescribing behaviors. The purpose of this four-year type 2 effectiveness-implementation hybrid stepped wedge cluster randomized trial is to: (1) compare the clinical and cost effectiveness of electronic medical record-based clinical decision support [EMR-CDS] versus additional integrated, collaborative behavioral health [EMR-CDS + BHI-CCM] for opioid management of patients with co-morbid chronic non-cancer pain with depression or anxiety; and (2) examine facilitators and barriers to implementing these interventions within 35 primary care clinics in a integrated delivery health system. The EMR-CDS alerts providers to employ opioid risk mitigation and safe prescribing practices at the point of care. The BHI-CCM consists of primary care embedded community health workers for case management; licensed clinical social workers for cognitive behavioral therapy, and a clinical pharmacist for medication management who provide care management via telemedicine (virtual video or audio only visits) under the guidance of a consulting psychiatrist. The primary outcome is reduction in the percentage of patients with average daily opioid dose ≥50 mg morphine equivalent. Secondary outcomes include changes in service utilization, patient reported outcomes and processes of care. The investigators anticipate that study results will elucidate the role of technology versus care team optimization in changing opioid prescribing behaviors. The investigators further anticipate that integrated mental/behavioral health care will increase value-based care and the efficiency with which guideline concordant care is delivered.

Intelligent Clinical Decision Support to Improve Safe Opioid Management of Chronic Noncancer Pain in Primary Care.

BACKGROUND: Opioid prescription drug abuse is a major public health concern. Healthcare provider prescribing patterns, especially among non-pain management specialists, are a major factor. Practice guidelines recommend what to do for safe opioid prescribing but do not provide guidance on how to implement best practices. METHODS: We describe the implementation of electronic medical record clinical decision support (EMR CDS) for opioid management of chronic noncancer pain in an integrated delivery system. This prospective cohort study will examine relationships between primary care physician compliance with EMR CDS-guided care (vs usual care), delivery of guideline-concordant care, and changes in the morphine equivalent of prescribed opioids. We report baseline characteristics of patients receiving chronic opioid therapy and organizational prescribing trends. RESULTS: Between August and October 2016, we identified 2,759 primary care patients who received chronic opioid therapy. Of these patients, approximately 71% had chronic noncancer pain, and 62% had diagnoses of depression/anxiety. Six of 36 primary care clinics each had >100 patients receiving chronic opioid therapy. When the EMR CDS launched in October 2017, we identified 54,200 patients who had received opioid therapy for at least 14 days from various specialty and primary care providers during the prior 24 months. Of these patients, 36% had a benzodiazepine coprescription, and 13% had substance abuse diagnoses. CONCLUSION: Health system research that examines workflow-focused strategies to improve physician knowledge and skills for safely managing opioid therapy is needed. If EMR CDS proves to be effective in increasing adherence to practice guidelines, this EMR strategy can potentially be replicated and scaled up nationwide to improve population health management.

eHealth Literacy: Patient Engagement in Identifying Strategies to Encourage Use of Patient Portals Among Older Adults.

Innovations in chronic disease management are growing rapidly as advancements in technology broaden the scope of tools. Older adults are less likely to be willing or able to use patient portals or smartphone apps for health-related tasks. The authors conducted a cross-sectional survey of older adults (ages ≥50) with hypertension or diabetes to examine relationships between portal usage, interest in health-tracking tools, and eHealth literacy, and to solicit practical solutions to encourage technology adoption. Among 247 patients surveyed in a large integrated delivery health system between August 2015 and January 2016, eHealth literacy was positively associated with portal usage (OR [95% CI]: 1.3 [1.2-1.5]) and interest in health-tracking tools (1.2 [1.1-1.3]). Portal users compared to nonusers (N = 137 vs.110) had higher rates of interest in using websites/smartphone apps to track blood pressure (55% vs. 36%), weight (53% vs. 35%), exercise (53% vs. 32%), or medication (46% vs 33%, all P < 0.05). Portal users noted cumbersome processes for accessing portals and variations in provider availability for online scheduling and response times to messages. Portal nonusers expressed concerns about data security, lack of personalization, and limited perceived value of using portals. Both groups noted the importance of computer literacy and technical support. Patient stakeholders recommended marketing initiatives that capture patient stories demonstrating real-life applications of what patients can do with digital technology, how to use it, and why it may be useful. Health systems also must screen for eHealth literacy, provide training, promote proxy users, and institute quality assurance that ensures patients' experiences will not vary across the system.

Collaborative Depression Care in a Safety Net Medical Home: Facilitators and Barriers to Quality Improvement.

Little is known about how to integrate primary care with mental/behavioral services outside of clinical trials. The authors implemented a collaborative care model (CCM) for depression in a safety net patient-centered medical home. The model focused on universal screening for symptoms, risk stratification based on symptom severity, care management for intensive follow-up, and psychiatry consultation. CCM increased rates of primary care physician encounters, timely follow-up for monitoring symptoms of depression, and documentation of treatment response. Contextual factors that facilitated or hindered practice redesign included clinic leadership, quality improvement culture, staffing, technology infrastructure, and external incentives/disincentives for organizational change.