Predicting opioid use disorder and associated risk factors in a Medicaid managed care population.

OBJECTIVES: Medicaid managed care organizations are developing comprehensive strategies to reduce the impact of opioid use disorder (OUD) among their members. The goals of this study were to develop and validate a predictive model of OUD and to predict future OUD diagnosis, resulting in proactive, person-centered outreach. STUDY DESIGN: We utilized machine learning methodology to select a multivariate logistic regression and identify predictors. METHODS: Using 2016-2018 data, we used a staged approach to test and validate the predictive accuracy of our model. We identified OUD, the dependent variable, using an industry-standard definition. We included a series of patient demographic, chronic condition, social determinants of health (SDOH), opioid-related, and health utilization indicators captured in administrative data. RESULTS: Caucasian (odds ratio [OR], 1.65), male (OR, 1.57), and younger (aged 40-64 years compared with 18-39 years: OR, 0.75) members had greater odds of being diagnosed with an OUD. Members with an SDOH vulnerability had 26% higher odds than those without a documented issue. From a prescribing perspective, we found that having an opioid dose of 120 morphine milligram equivalents and contiguous 5-day supply increased odds of OUD by 1.87 times, and an opioid supply of 30 days or longer increased the odds of OUD by 1.56 times. CONCLUSIONS: We built the necessary machine learning infrastructure to identify members with greater than 50% probability of developing OUD. The generated list strategically informs and guides person-centered care and interventions. Through application of these results, we strive to proactively reduce OUD-related structural barriers and prevent OUD from occurring.

Caring for Family Caregivers: Perceptions of CARE Act Compliance and Implementation.

BACKGROUND: The Caregiver Advise, Record, Enable (CARE) Act encourages inclusion of family caregivers in the hospitalization process for patients. Translating the state laws into meaningful changes within the health care delivery system can be challenging and requires time. This study sought to examine early compliance with and implementation of the CARE Act reported by hospitals in the Commonwealth of Pennsylvania. METHODS: We sent an online survey to hospital executives in Pennsylvania in 2017. Descriptive statistics were computed to examine hospital characteristics and used to assess compliance and implementation of the CARE Act tenets. RESULTS: Most hospitals reported that changes have been and are being made to comply with the CARE Act (90.9%). Hospital executives reported that the family caregiver designation is available in 63.6% of the hospitals and notification of patient discharge is available in 45.5%. Hospital executives reported that family caregiver education and instruction is occurring in 31.8% of all inpatient stays. Hospital executives indicated that they are still developing processes to comply with the legislation and to integrate family caregivers into hospital systems and processes. CONCLUSIONS: Our findings suggest that hospitals are complying with the legislation, while fully operationalizing the components of the CARE Act is a work in progress.

Including and Training Family Caregivers of Older Adults in Hospital Care: Facilitators and Barriers.

BACKGROUND: Despite the role caregivers play in the delivery of care, the interactions and training methods used with caregivers during an inpatient stay are not clear. PURPOSE: The purpose was to examine interactions and training methods used with caregivers during hospital care. METHODS: A mixed-methods case study was conducted. Observations were summarized and interviews were analyzed using thematic analysis. RESULTS: The frequency of caregiver engagement varied at different points in the care process but was highest among observations during the stay care point. Providers were most commonly using written and verbal instructions to train caregivers. Three themes emerged from the interviews and were described to be both facilitators and barriers to caregiver involvement: experience, time, and relationship. CONCLUSIONS: High-quality person and family-centered care depends upon coordinated efforts among health care systems, providers, patients, and caregivers. Future caregiver initiatives should aim to decrease disengagement, increase assessment, and broaden the use of training methods.

A Multisite Case Study of Caregiver Advise, Record, Enable Act Implementation.

BACKGROUND AND OBJECTIVES: The Commonwealth of Pennsylvania passed the Caregiver Advise, Record, Enable (CARE) Act on April 20, 2016. We designed a study to explore early implementation at a large, integrated delivery financing system. Our goal was to assess the effects of system-level decisions on unit implementation and the incorporation of the CARE Act's three components into routine care delivery. RESEARCH DESIGN AND METHODS: We conducted a multisite, ethnographic case study at three different hospitals' medical-surgical units. We conducted observations and semi-structured interview to understand the implementation process and the approach to caregiver identification, notification, and education. We used thematic analysis to code interviews and observations and linked findings to the Promoting Action on Research Implementation in Health Services framework. RESULTS: Organizational context and electronic health record capability were instrumental to the CARE Act implementation and integration into workflow. The implementation team used a decentralized strategy and a variety of communication modes, relying on local hospital units to train staff and make the changes. We found that the system facilitated the CARE Act implementation by placing emphasis on the documentation and charting to demonstrate compliance with the legal requirements. DISCUSSION AND IMPLICATIONS: General acute hospitals will be making or have made similar decisions on how to operationalize the regulatory components and demonstrate compliance with the CARE Act. This study can help to inform others as they design and improve their compliance and implementation strategies.

Medicare Shared Savings Program ACO network comprehensiveness and patient panel stability.

OBJECTIVES: The current Medicare Shared Savings Program (MSSP) accountable care organization (ACO) attribution methodology creates unpredictability for ACOs that are developing and deploying strategic initiatives aimed at improving value. The goal of this study is to determine if ACO network comprehensiveness is associated with the stability of assigned Medicare beneficiaries from 2013 to 2014. STUDY DESIGN: We utilized a beneficiary-level logistic regression model to determine association of network comprehensiveness with stable attribution to an MSSP ACO. METHODS: Using 2013 and 2014 Medicare fee-for-service beneficiary and provider files, we developed a measure of network comprehensiveness based on 2013 provider contracts, determined beneficiary attribution, and generated market-level measures. Additional population and quality measures were obtained from the US Census and the ACO Public Use File. RESULTS: Of the 1,317,858 observed beneficiaries, 84.38% were attributed to the same ACO in 2013 and 2014, and mean (SD) ACO network comprehensiveness was 0.30 (0.20). We found that a 0.10 increase in network comprehensiveness score significantly increased the odds of remaining attributed to the same ACO by 4.5% (P = .001). Patient panel stability was significantly associated with improved diabetes (P = .01) and hypertension (P = .02) control, timely access to care (P = .001), and delivery of health education (P = .03) over the 2-year period. CONCLUSIONS: The comprehensiveness of an MSSP ACO's contracted provider network is associated with stable patient assignment year to year. Patient panel stability may aid in the longitudinal management of some conditions.

Implementation and Impact of a Maternal-Fetal Medicine Telemedicine Program.

OBJECTIVE: The increase in maternal morbidity has resulted in higher need for maternal-fetal medicine (MFM) subspecialty care. To meet the rising demand, particularly in rural areas, the use of MFM telemedicine services has increased. This study describes the structure, implementation, and patient and child health outcomes associated with a large health system's MFM telemedicine program. STUDY DESIGN: Observational electronic health record data are used to compare maternal and childbirth outcomes between patients receiving care via telemedicine or in-person visits through regression analysis. Average patient time and resources saved are calculated, and patient satisfaction scores are reported. RESULTS: The telemedicine patients experienced similar outcomes to the in-person group, indicating that MFM telemedicine can serve as an effective substitute for in-person care. MFM telemedicine patients saved $90.28 per consult in travel and work-related expenses. An overwhelming majority of MFM telemedicine patients were satisfied with their visit and indicated that they would be interested in receiving care via telemedicine in the future. CONCLUSION: The results indicate that the patients may benefit financially and experience similar outcomes when telemedicine programs are appropriately designed to eliminate access barriers and provide high-quality care.

Distribution of Visits for Chronic Conditions Between Primary Care and Specialist Providers in Medicare Shared Savings Accountable Care Organizations.

BACKGROUND: Medicare Shared Savings Program Accountable Care Organizations (ACOs) may focus more on primary care given ACO financial incentives. We examine variation in primary care treatment of 8 prevalent chronic conditions across ACOs and the factors affecting the variation, and compare the role of primary care in ACOs and non-ACOs. RESEARCH DESIGN: We conduct regression models at the ACO-level to identify factors predicting higher proportions of chronic condition visits delivered by primary care providers (PCPs) using 2013 Medicare claims and enrollment data. We compare the distribution of visits to PCPs, specialists and advanced practice providers between ACO-attributed and non-ACO-attributed beneficiaries. RESULTS: At the ACO-level, the proportion of patients who are white and of the local population who are college educated, the complexity of the patient population, and the supply of specialists were negatively associated with the proportion of chronic condition visits delivered by PCPs, whereas the percentage of contracted physicians within the ACO who were PCPs was positively associated. These results varied when subanalyses were conducted for each specific chronic condition. ACO care for chronic conditions was managed similar to that of care for non-ACO Medicare beneficiaries in 2013, but that some ACOs utilize PCPs to manage chronic conditions more than others. CONCLUSIONS: Many ACOs may underutilize PCPs, and thus could actively shift care to less expensive primary care for potential savings to payers. Barriers to that shift could include low numbers of PCPs contracted in the ACO, and existing referral patterns and patient relationships with specialists.