State-level policies and receipt of CDC-informed opioid thresholds among commercially insured new chronic opioid users.

OBJECTIVES: To evaluate the association of state-level policies on receipt of opioid regimens informed by Centers for Disease Control and Prevention (CDC) morphine milligram equivalent (MME)/day recommendations. DESIGN: A retrospective cohort study of new chronic opioid users (NCOUs). SETTING: Commercially insured plans across the United States using IQVIA PharMetrics® Plus for Academics database with new chronic use between January 2014 and March 2015. PARTICIPANTS: NCOUs with ≥60-day coverage of opioids within a 90-day period with ≥30-day opioid-free period prior to the date of the first qualifying opioid prescription. INTERVENTIONS: State-level policies including Prescription Drug Monitoring Program (PDMP) robustness and cannabis policies involving the presence of medical dispensaries and state-wide decriminalization. MAIN OUTCOME MEASURES: NCOUs were placed in three-tiered risk-based average MME/day thresholds: low (>0 to <50), medium (≥50 to <90), and high (≥90). Multinomial logistic regression was used to estimate the association of state-level policies with the thresholds while adjusting for relevant patient-specific factors. RESULTS: NCOUs in states with medium or high PDMP robustness had lower odds of receiving medium (adjusted odds ratio [AOR] 0.74; 95 percent confidence interval [CI]: 0.62-0.69) and high (AOR 0.74; 95 percent CI: 0.59-0.92) thresholds. With respect to cannabis policies, NCOUs in states with medical cannabis dispensaries had lower odds of receiving high (AOR 0.75; 95 percent CI: 0.60-0.93) thresholds, while cannabis decriminalization had higher odds of receiving high (AOR 1.24; 95 percent CI: 1.04-1.49) thresholds. CONCLUSION: States with highly robust PDMPs and medical cannabis dispensaries had lower odds of receiving higher opioid thresholds, while cannabis decriminalization correlated with higher odds of receiving high opioid thresholds.

Short-term healthcare resource utilization associated with receipt of CDC-informed opioid thresholds among commercially insured new chronic opioid users.

OBJECTIVE: To evaluate the impact of recent changes to the Centers for Disease Control and Prevention (CDC) morphine milligram equivalent (MME)/day threshold recommendations on healthcare utilization. DESIGN: A retrospective cohort study of new chronic opioid users (NCOUs). SETTING: Commercially insured plans across the United States using IQVIA PharMetrics® Plus for Academics database with new use between January 2014 and March 2015. PATIENTS: NCOUs with ≥60-day coverage of opioids within a 90-day period with ≥30-day opioid-free period prior to the date of the first qualifying opioid -prescription. INTERVENTIONS: NCOU categorized by the CDC three-tiered risk-based average MME/day thresholds: low (>0 to <50), medium (≥50 to <90), and high (≥90). MAIN OUTCOME MEASURES: Multivariable logistic regression was used to calculate adjusted odds of incurring an acute care encounter (ACE) (all-cause and opioid-related) between the thresholds (adjusted odds, 95 percent confidence interval). RESULTS: In adjusted analyses, when compared to low threshold, there was no difference in the odds of all-cause ACE across the medium (1.01, 0.94-1.28) and high (1.01, 0.84-1.22) thresholds. When compared to low threshold, a statistically insignificant increase was observed when evaluating opioid-related ACE among medium (1.86, 0.86-4.02) and high (1.51, 0.65-3.52) thresholds. CONCLUSIONS: There was no difference in odds of an all-cause or opioid-related ACE associated with the thresholds. Early-intervention programs and policies exploring reduction of MME/day among NCOUs may not result in short-term reduction in all-cause or opioid-related ACEs. Further assessment of potential long-term reduction in ACEs among this cohort may be insightful.

The Lived Experiences of Pregnant and Parenting Women in Recovery Toward Medication Treatment for Opioid Use Disorder.

BACKGROUND: Maternal misuse of prescription opioids and illicit drugs such as, heroin and non-pharmaceutical fentanyl analogs has increased in the last 2 decades and one in 5 women reported misuse of opioids. Medications for opioid use disorder (MOUD) are recommended for treating pregnant women with opioid use disorder (OUD). MOUD is effective in reducing cravings and negative outcomes, yet treatment is underutilized and varies in integration and intensity of resources across health systems. Exploring perceptions of MOUD delivery among pregnant/parenting women promises to uncover and address the underlying challenges to treatment, a perspective that may be different for providers and stakeholders. Therefore, our main purpose is to elicit patients' experiences and perceptions of MOUD, associated access to treatment, and availability of supportive resources during pregnancy/postpartum to inform OUD treatment. METHODS: Through a qualitative research approach we gathered data from individual interviews/focus group discussions for this pilot study. Pregnant and postpartum parenting women (n = 17) responded to questions related to perceptions of MOUD, access to treatment, and availability of social and psychosocial resources. Data were collected, transcribed, and coded (by consensus) and emerging themes were analyzed using grounded theory methodology. RESULTS: Emerging themes revealed positive uptake and perceptions of MOUD, continuing gaps in knowledge, negative impact of stigmatization, and limited access to programs and resources. Supportive relationships from family, peers, healthcare providers and child welfare staff, and co-located services were perceived as positive motivators to recovery. CONCLUSIONS: Through the unique lenses of women with lived experience, this study revealed several themes that can be transformative for women. Overall perceptions of MOUD were positive and likely to facilitate uptake and promote positive recovery outcomes. Bridging knowledge gaps will reduce anxieties, fears about neonatal opioid withdrawal syndrome and adverse maternal outcomes. Additionally, a deeper understanding of stigmatization and relationships can inform an integrated patient-centered approach to OUD treatment.

Disparities in maternal mortality.

Maternal mortality rates in the USA remain high, with persistent racial and socioeconomic disparities. We identified 207,016 hospital admissions for pregnant women in Maryland, from 2017 to 2019. Logistic regression was used to identity factors associated with maternal death. The health outcome for black women was more prone to give rise to maternal mortality than for white women. Our study revealed numerous racial and age discrepancies in gestational health outcomes, which opioid use disorder exacerbated. Our findings elaborate on the importance of identifying the drivers of adverse pregnancy outcomes, to help inform policy, and resource allocations.

The association of major adverse limb events and combination stent and atherectomy in patients undergoing revascularization for lower extremity peripheral artery disease.

BACKGROUND: The effectiveness of combined atherectomy and stenting relative to use of each procedure alone for the treatment of lower extremity peripheral artery disease has not been evaluated. AIMS: The objective of this study was to evaluate the short- and long-term major adverse limb event (MALE) following the receipt of stenting, atherectomy, and the combination of stent and atherectomy. METHODS: A retrospective cohort of patients undergoing atherectomy, stent, and combination stent atherectomy for lower extremity peripheral artery disease was derived from the Vascular Quality Initiative (VQI) data set. The primary outcome was MALE and was assessed in the short-term and long-term. Short-term MALE was assessed immediately following the procedure to discharge and estimated using logistic regression. Long-term MALE was assessed after discharge to end of follow-up and estimated using the Fine-Gray subdistribution hazard model. RESULTS: Among the 46,108 included patients, 6896 (14.95%) underwent atherectomy alone, 35,774 (77.59%) received a stent, and 3438 (7.5%) underwent a combination of stenting and atherectomy. The adjusted model indicated a significantly higher odds of short-term MALE in the atherectomy group (OR = 1.35; 95% confidence interval [CI]:1.16-1.57), and not significantly different odds (OR = 0.93; 95% CI:0.77-1.13) in the combination stent and atherectomy group when compared to stenting alone. With regard to long-term MALE, the model indicated that the likelihood of experiencing the outcome was slightly lower (HR = 0.90; 95% CI:0.82-0.98) in the atherectomy group, and not significantly different (HR = 0.92; 95% CI:0.82-1.04) in the combination stent and atherectomy group when compared to the stent group. CONCLUSIONS: Patients in the VQI data set who received combination stenting and atherectomy did not experience significantly different rates of MALE when compared with stenting alone. It is crucial to consider and further evaluate the influence of anatomical characteristics on treatment strategies and potential differential effects of comorbidities and other demographic factors on the short and long-term MALE risks.

Social determinants of health, substance use, and drug overdose prevention.

BACKGROUND: Fatal drug overdoses, now primarily driven by illicit opioids like fentanyl, continue to increase in the United States, reflecting a growing need for prevention and treatment strategies. Preventive interventions have primarily focused on curbing opioid prescribing, and treatment strategies target individuals. However, little is known about the broader social context surrounding these individuals. OBJECTIVE: This study examines the association between drug overdose mortality and social determinants of health (SDOH) across different levels of influence in the social-ecological model. METHODS: Data on drug overdose death and SDOH were collected at the county level for most mid-Atlantic states in 2019. Association between each characteristic and drug overdose mortality was measured through a bivariate analysis. Furthermore, a multivariate analysis was performed to detect risk factors of drug overdose death while adjusting for multiple comparisons. All statistical analyses were performed with SAS version 9.4. RESULTS: SDOH, including violent crime (P < 0.001), access to the Internet (P < 0.001), per capita income (P < 0.001), social vulnerability index (P = 0.001), and access to health care (P < 0.001), demonstrated a statistically significant positive association with drug overdose death. In contrast, vacancy rate was negatively associated with drug overdose mortality (P < 0.001). The association between drug overdose deaths and opioid prescription rates was not statistically significant (P = 0.412). CONCLUSION: Factors such as violent crime and social vulnerability demonstrated a statistically significant impact on drug overdose mortality. To address drug overdose crisis, health care system, community leaders, and policy makers' strategies should focus on socially vulnerable populations.

Data sources and applied methods for paclitaxel safety signal discernment.

Background: Following the identification of a late mortality signal, the Food and Drug Administration (FDA) convened an advisory panel that concluded that additional clinical study data are needed to comprehensively evaluate the late mortality signal observed with the use of drug-coated balloons (DCB) and drug-eluting stent (DES). The objective of this review is to (1) identify and summarize the existing clinical and cohort studies assessing paclitaxel-coated DCBs and DESs, (2) describe and determine the quality of the available data sources for the evaluation of these devices, and (3) present methodologies that can be leveraged for proper signal discernment within available data sources. Methods: Studies and data sources were identified through comprehensive searches. original research studies, clinical trials, comparative studies, multicenter studies, and observational cohort studies written in the English language and published from January 2007 to November 2021, with a follow-up longer than 36 months, were included in the review. Data quality of available data sources identified was assessed in three groupings. Moreover, accepted data-driven methodologies that may help circumvent the limitations of the extracted studies and data sources were extracted and described. Results: There were 39 studies and data sources identified. This included 19 randomized clinical trials, nine single-arm studies, eight registries, three administrative claims, and electronic health records. Methodologies focusing on the use of existing premarket clinical data, the incorporation of all contributed patient time, the use of aggregated data, approaches for individual-level data, machine learning and artificial intelligence approaches, Bayesian approaches, and the combination of various datasets were summarized. Conclusion: Despite the multitude of available studies over the course of eleven years following the first clinical trial, the FDA-convened advisory panel found them insufficient for comprehensively assessing the late-mortality signal. High-quality data sources with the capabilities of employing advanced statistical methodologies are needed to detect potential safety signals in a timely manner and allow regulatory bodies to act quickly when a safety signal is detected.

County-Level COVID-19 Vaccination Rates, Non-Communicable Diseases, and Socioeconomic Inequities: Applying Syndemic Theory to Vaccines.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic has disproportionately affected certain high-risk populations, including those with underlying chronic illnesses and those who are socioeconomically disadvantaged. METHODS: Our study evaluated county-level rates of fully vaccinated populations after classifying counties based on rates of non-communicable diseases (NCDs) and socioeconomic inequities below the 25th percentile of overall distribution of counties for each measure as low, counties above the 75th percentile as high, and all other counties as medium. RESULTS: Counties with higher rates of non-communicable diseases and socioeconomic disparities had lower COVID-19 vaccination coverage than did counties with lower rates of non-communicable diseases and socioeconomic disparities. Co-occurrence of high NCD and high socioeconomic vulnerability among counties in the lower half of vaccination coverage was also found for some counties. CONCLUSION: These findings demonstrate the co-occurrence of low rates of vaccine coverage, high rates of NCDs, and high rates of socioeconomic disparities as a syndemic.

Creation of objective performance criteria among medical devices.

Objectives: Objective performance criteria (OPC) may serve as a tool to expedite the approval process and continue active surveillance of class III medical devices. Thus far, published guidance on the creation of OPC has been clinical area-specific. This study aimed to capture reflections from key stakeholders on the creation of OPC that may serve as a precursor for a formalized conceptual framework within the USA. Design: Reflections from key stakeholders and guidance from an advisory committee were captured to gain an understanding of the elements that are crucial to the generation of OPC. Setting: A non-probability sampling method using the purposive sampling strategy was employed to identify relevant stakeholders for engagement in semi-structured, open-ended, concept elicitation discussions. Participants: Stakeholders involved in the generation of OPC. Main outcome measures: Elements and themes regarding the priorities of, experiences with, roles within and perceived challenges associated with OPC creation captured through a phenomenological approach. Results: A total of 27 participants were engaged to represent the following contributors: representatives of registries, health systems, health technology assessment bodies, clinicians, device application reviewers, payers, patients, patient representatives, patient caregivers, device manufacturers, data coordinators, data analysts and data informaticians. Consensus was achieved on the five core elements: (1) identification of medical devices, (2) engagement of key stakeholders, (3) selection of data source, (4) performance of appropriate statistical analyses and (5) reporting of findings. The engagement of key stakeholders (38%) was cited most frequently as the most important core element. Access to meaningful and high-quality data sources (47%) was the most frequently mentioned challenge. Conclusions: The reflections from the participants identified five elements to be considered when generating an OPC within class III medical devices and may provide the needed foundation for the development of official guidance on OPC generation.

Methodological Comparison of Mapping the Expanded Prostate Cancer Index Composite to EuroQoL-5D-3L Using Cross-Sectional and Longitudinal Data: Secondary Analysis of NRG/RTOG 0415.

PURPOSE: To compare the predictive ability of mapping algorithms derived using cross-sectional and longitudinal data. METHODS: This methodological assessment used data from a randomized controlled noninferiority trial of patients with low-risk prostate cancer, conducted by NRG Oncology (ClinicalTrials.gov identifier: NCT00331773), which examined the efficacy of conventional schedule versus hypofractionated radiation therapy (three-dimensional conformal external beam radiation therapy/IMRT). Health-related quality-of-life data were collected using the Expanded Prostate Cancer Index Composite (EPIC), and health utilities were obtained using EuroQOL-5D-3L (EQ-5D) at baseline and 6, 12, 24, and 60 months postintervention. Mapping algorithms were estimated using ordinary least squares regression models through five-fold cross-validation in baseline cross-sectional data and combined longitudinal data from all assessment periods; random effects specifications were also estimated in longitudinal data. Predictive performance was compared using root mean square error. Longitudinal predictive ability of models obtained using baseline data was examined using mean absolute differences in the reported and predicted utilities. RESULTS: A total of 267 (and 199) patients in the estimation sample had complete EQ-5D and EPIC domain (and subdomain) data at baseline and at all subsequent assessments. Ordinary least squares models using combined data showed better predictive ability (lowest root mean square error) in the validation phase for algorithms with EPIC domain/subdomain data alone, whereas models using baseline data outperformed other specifications in the validation phase when patient covariates were also modeled. The mean absolute differences were lower for models using EPIC subdomain data compared with EPIC domain data and generally decreased as the time of assessment increased. CONCLUSION: Overall, mapping algorithms obtained using baseline cross-sectional data showed the best predictive performance. Furthermore, these models demonstrated satisfactory longitudinal predictive ability.

COVID-19 pandemic and telemental health policy reforms.

Many patients with mental disorders lack access to care mainly due to provider shortages. Coronavirus disease 2019 (COVID-19) pandemic significantly raised the prevalence of anxiety, depression, substance use disorder and suicidal thoughts among people. Mandated social distancing, and higher incidence of mental disorders increased the demand for Telemental Health (TMH). TMH expands access to care and can be an effective alternative to the costly conventional mental health care. However, there are barriers to the adoption of TMH such as reimbursement challenges, and licensure restrictions. During the COVID-19 pandemic, some policies and regulations changed to address the increase in TMH demand. The federal government increased funding for the new telehealth initiatives and more states legalized the interstate practice for psychologists. Medicare waived telehealth co-payments, reimbursed audio-only visits, and required payment parities between virtual and in-person visits. Nevertheless, Medicare maintained in-person visit prerequisite within the six months prior to the first time only for mental health treatments which can act as a hindrance. Additionally, four more states required telehealth coverage, 33 states required Medicaid plans, and 21 states required private insurers to cover TMH services. Ten states mandated payment parity for private insurers, and four states eliminated cost-sharing for telehealth services. Currently, 21 states are implementing payment parity on a permanent basis. During the pandemic, 78% of Mental health providers integrated TMH services into their practice. Despite the decline in use of telehealth for other health conditions after the pandemic peak, TMH use has remained strong representing 36% of outpatient visits. TMH is beneficial to patients in terms of cost and time saving; thus, the beneficiary regulatory changes should be sustained. Further well-designed studies are needed on the cost-effectiveness of telehealth interventions, and policymakers need to collect more data to decide whether and how to keep these changes permanently for TMH.

Impact of the naloxone standing order on trends in opioid fatal overdose: an ecological analysis.

Background: Maryland expanded its "Statewide Naloxone Standing Order" (NSO) in 2017 to eliminate training and prescription requirements for obtaining naloxone, improve naloxone access, help reverse opioid overdose, and reduce overdose fatality rates.Objectives: To assess the change in the trends of fatal opioid overdose rates following the expansion of the Naloxone Standing Order (eNSO) and its association with the social determinants of health (SDoH).Methods: Data on overdose deaths and SDoH from 2015-2019 was collected and analyzed using interrupted time series and multivariate Poisson regression models to study the change in trends and the associations.Results: There was a significant decrease in the rate of fatal overdoses after the intervention: prescription opioid estimate number of deaths declined by .25 per 100,000 (p = .02), heroin estimate number of deaths declined by 1.83 per 100,000 (p < .001), fentanyl estimate number of deaths declined by 2.54 per 100,000 (p < .001). After controlling for eNOS implementation in Maryland, state-level estimates with high proportions of female residents and those with bachelor's degree or higher were associated with reduction in overdose, while state-level estimates with high proportions of African Americans and higher employment rates were associated with an increase in overdose.Conclusions: Our analysis shows that the expanded naloxone standing order is associated with reducing opioid-related overdose death rates. Even though we observed a significant reduction in overdose death rate in fentanyl-related deaths, the rate of deaths post-eNSO was still increasing, suggesting the need for additional measures to impact the rates of fentanyl.

Mapping expanded prostate cancer index composite to EQ5D utilities to inform economic evaluations in prostate cancer: Secondary analysis of NRG/RTOG 0415.

PURPOSE: The Expanded Prostate Cancer Index Composite (EPIC) is the most commonly used patient reported outcome (PRO) tool in prostate cancer (PC) clinical trials, but health utilities associated with the different health states assessed with this tool are unknown, limiting our ability to perform cost-utility analyses. This study aimed to map EPIC tool to EuroQoL-5D-3L (EQ5D) to generate EQ5D health utilities. METHODS AND MATERIALS: This is a secondary analysis of a prospective, randomized non-inferiority clinical trial, conducted between 04/2006 and 12/2009 at cancer centers across the United States, Canada, and Switzerland. Eligible patients included men >18 years with a known diagnosis of low-risk PC. Patient HRQoL data were collected using EPIC and health utilities were obtained using EQ5D. Data were divided into an estimation sample (n = 765, 70%) and a validation sample (n = 327, 30%). The mapping algorithms that capture the relationship between the instruments were estimated using ordinary least squares (OLS), Tobit, and two-part models. Five-fold cross-validation (in-sample) was used to compare the predictive performance of the estimated models. Final models were selected based on root mean square error (RMSE). RESULTS: A total of 565 patients in the estimation sample had complete information on both EPIC and EQ5D questionnaires at baseline. Mean observed EQ5D utility was 0.90±0.13 (range: 0.28-1) with 55% of patients in full health. OLS models outperformed their counterpart Tobit and two-part models for all pre-determined model specifications. The best model fit was: "EQ5D utility = 0.248541 + 0.000748*(Urinary Function) + 0.001134*(Urinary Bother) + 0.000968*(Hormonal Function) + 0.004404*(Hormonal Bother)- 0.376487*(Zubrod) + 0.003562*(Urinary Function*Zubrod)"; RMSE was 0.10462. CONCLUSIONS: This is the first study to identify a comprehensive set of mapping algorithms to generate EQ5D utilities from EPIC domain/ sub-domain scores. The study results will help estimate quality-adjusted life-years in PC economic evaluations.

Opioid use disorder in pregnancy: leveraging provider perceptions to inform comprehensive treatment.

BACKGROUND: Medications for opioid use disorder (MOUD) are recommended with adjuvant behavioral therapies, counseling, and other services for comprehensive treatment of maternal opioid use disorder. Inadequate access to treatment, lack of prescribing providers and complex delivery models are among known barriers to care. Multi-disciplinary provider input can be leveraged to comprehend factors that facilitate or inhibit treatment. The objective of this study is to explore provider perceptions of MOUD and factors critical to comprehensive treatment delivery to improve the care of pregnant women with opioid use disorder. METHODS: A qualitative research approach was used to gather data from individual provider and group semi-structured interviews. Providers (n = 12) responded to questions in several domains related to perceptions of MOUD, treatment delivery, access to resources, and challenges/barriers. Data were collected, transcribed, coded (by consensus) and emerging themes were analyzed using grounded theory methodology. RESULTS: Emerging themes revealed persistent gaps in treatment and challenges in provider, health systems and patient factors. Providers perceived MOUD to be a "lifeline" to women. CONCLUSIONS: Inconsistencies in treatment provision, access and uptake can be improved by leveraging provider perceptions, direct experiences and recommendations for an integrated team-based, patient-centered approach to guide the care of pregnant women with opioid use disorder.

Lipid-Lowering Efficacy of Ezetimibe in Patients with Atherosclerotic Cardiovascular Disease: A Systematic Review and Meta-Analyses.

INTRODUCTION: Patients with atherosclerotic cardiovascular disease (ASCVD), especially those with recent (< 1 year) acute coronary syndrome (ACS), are at high risk for recurrent cardiovascular events. This risk can be reduced by lowering low-density lipoprotein cholesterol (LDL-C) levels. A comprehensive meta-analysis on the LDL-C-lowering efficacy of ezetimibe is lacking. This study attempts to address this gap. METHODS: A systematic literature review of randomized controlled trials evaluating the LDL-C-lowering efficacy of ezetimibe in the ASCVD population was conducted. MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials were searched for publications from database inception to August 2018 and for conference abstracts from 2015 to August 2018. Meta-analyses were conducted to evaluate the LDL-C-lowering efficacy of ezetimibe in the ASCVD population and the recent ACS subgroup. RESULTS: In total, 12 studies were eligible for the meta-analyses. Treatment with combination ezetimibe plus statin therapy showed greater absolute LDL-C reduction than statin monotherapy (mean difference - 21.86 mg/dL; 95% confidence interval [CI] - 26.56 to - 17.17; p < 0.0001) after 6 months of treatment (or at a timepoint closest to 6 months). Similarly, in patients with recent ACS, combination ezetimibe plus statin therapy was favorable compared with statin monotherapy (mean treatment difference - 19.19 mg/dL; 95% CI - 25.22 to - 13.16; p < 0.0001). CONCLUSIONS: Ezetimibe, when added to statin therapy, provided a modest additional reduction in LDL-C compared with statin monotherapy. However, this may not be sufficient for some patients with ASCVD who have especially high LDL-C levels despite optimal statin therapy.

What motivates people with substance use disorders to pursue treatment? A patient-centered approach to understanding patient experiences and patient-provider interactions.

OBJECTIVES: To identify and define potential positive and negative factors in patient experiences and patient-provider interactions that are associated with the pursuit and maintenance of treatment by those suffering from substance use disorders (SUD). METHODS: Two focus groups with patients in treatment for SUD were performed. The focus groups focused on questions aimed at mapping factors associated with initiating and maintaining treatment along the transtheoretical model of change. Four in-depth interviews with healthcare providers involved in the treatment of patients with SUD were also conducted to understand providers' perspective on similar factors. RESULTS: Fourteen patients were included in the focus groups. Patients identified their life prior to treatment as chaotic and further identified internal and external factors that influenced seeking treatment. The four healthcare providers identified primarily social issues such as lack of housing as an external barrier. Both patients and providers cited the importance of a trusting and empathetic relationship between the patient and providers, as well as the patient's willingness to change as primary motivating factors for the initiation and maintenance of treatment. CONCLUSIONS: From a patient and provider perspective, facilitators and barriers for initiating and maintaining may vary by person and are multifactorial.

Practice Transformation Analytics Dashboard for Clinician Engagement.

PURPOSE: Practice transformation in primary care is a movement toward data-driven redesign of care, patient-centered care delivery, and practitioner activation. A critical requirement for achieving practice transformation is availability of tools to engage practices. METHODS: A total of 48 practices with 109 practice sites participate in the Garden Practice Transformation Network in Maryland (GPTN-Maryland) to work together toward practice transformation and readiness for the Quality Payment Program implemented by the Centers for Medicare & Medicaid Services. Practice-specific data are collected in GPTN-Maryland by practices themselves and by practice transformation coaches, and are provided by the Centers for Medicare & Medicaid Services. These data are overwhelming to practices when presented piecemeal or together, a barrier to practices taking action to ensure progress on the transformation spectrum. The GPTN-Maryland team therefore created a practice transformation analytics dashboard as a tool to present data that are actionable in care redesign. RESULTS: When practices reviewed their data provided by the Centers for Medicare & Medicaid Services using the dashboard, they were often seeing, for the first time, cost data on their patients, trends in their key performance indicator data, and their practice transformation phase. Overall, 72% of practices found the dashboard engaging, and 48% found the data as presented to be actionable. CONCLUSIONS: The practice transformation analytics dashboard encourages practices to advance in practice transformation and improvement of patient care delivery. This tool engaged practices in discussions about data, care redesign, and costs of care, and about how to develop sustainable change within their practices. Research is needed to study the impact of the dashboard on costs and quality of care delivery.