Do Medicaid Expenditures Increase After Adults Exit Permanent Supportive Housing?

The effects of homelessness and permanent supportive housing (PSH) on health care utilization have been well documented. Prior research on the association between PSH entry and Medicaid expenditures have indicated that such housing support could result in savings to Medicaid programs; however, whether changes occur in health care use and expenditures after individuals exit PSH is unknown. If efficiency gains from PSH persist after the individual leaves PSH, the savings to payers such as Medicaid may continue even after the costs to provide housing for a PSH recipient have ended. We used linked Medicaid and housing data from Pennsylvania to examine changes in the level and composition of Medicaid expenditures for 580 adult enrollees during the 12 months before and after exit from PSH adjusting for relevant covariates. In adjusted analyses, we estimated that monthly spending declined by $200.32 (95% CI: $323.50, $75.15) in the first quarter post-exit and by $267.63 (95% CI: $406.10, $127.10) in the third quarter. Our findings suggest that PSH may have sustained budgetary benefits to state Medicaid agencies even for beneficiaries exiting the program. However, more research is needed to understand if these reductions in expenditures last beyond 12 months and do not reflect under-use of care that may be important for managing health over the long-term.

Home- and Community-Based Provider Preparation for Pennsylvania's Managed Long-term Services and Supports.

As Pennsylvania implements its managed long-term services and supports program, we explore how home- and community-based providers are preparing for and perceiving the transition through an online survey. We summarize responses and conduct chi-square analysis to measure differences between select provider groups. Despite high levels of uncertainty about program impact, over 84% of respondents plan to participate. We found that providers in the first implementation phase had more strategic and operational discussions with MCOs than the other two phases (p < .03). As program rollout continues, we anticipate changes in MCO-provider conversation frequency and topics based upon implementation zone.

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.

Toward Real-Time Infoveillance of Twitter Health Messages.

There is growing interest in conducting public health research using data from social media. In particular, Twitter "infoveillance" has demonstrated utility across health contexts. However, rigorous and reproducible methodologies for using Twitter data in public health are not yet well articulated, particularly those related to content analysis, which is a highly popular approach. In 2014, we gathered an interdisciplinary team of health science researchers, computer scientists, and methodologists to begin implementing an open-source framework for real-time infoveillance of Twitter health messages (RITHM). Through this process, we documented common challenges and novel solutions to inform future work in real-time Twitter data collection and subsequent human coding. The RITHM framework allows researchers and practitioners to use well-planned and reproducible processes in retrieving, storing, filtering, subsampling, and formatting data for health topics of interest. Further considerations for human coding of Twitter data include coder selection and training, data representation, codebook development and refinement, and monitoring coding accuracy and productivity. We illustrate methodological considerations through practical examples from formative work related to hookah tobacco smoking, and we reference essential methods literature related to understanding and using Twitter data.

Comparison of toxicant load from waterpipe and cigarette tobacco smoking among young adults in the USA.

OBJECTIVES: To form population-level comparisons of total smoke volume, tar, carbon monoxide and nicotine consumed from waterpipe tobacco smoking (WTS) and cigarette smoking using data from a nationally representative sample of smokers and non-smokers aged 18-30 years. METHODS: In March and April 2013, we surveyed a nationally representative sample of 3254 US young adults to assess the frequency and volume of WTS and cigarette smoking. We used Monte Carlo analyses with 5000 repetitions to estimate the proportions of toxicants originating from WTS and cigarette smoking. Analyses incorporated survey weights and used recent meta-analytic data to estimate toxicant exposures associated with WTS and cigarette smoking. RESULTS: Compared with the additive estimates of WTS and cigarette smoking combined, 54.9% (95% CI 37.5% to 72.2%) of smoke volume was attributed to WTS. The proportions of tar attributable to WTS was 20.8% (95% CI 6.5% to 35.2%), carbon monoxide 10.3% (95% CI 3.3% to 17.3%) and nicotine 2.4% (95% CI 0.9% to 3.8%). CONCLUSIONS: WTS accounted for over half of the tobacco smoke volume consumed among young US adult waterpipe and cigarette smokers. Toxicant exposures to tar, carbon monoxide and nicotine were lower, but still substantial, for WTS alone compared with WTS and cigarette smoking. Public health and policy interventions to reduce harm from tobacco smoking in young US adults should explicitly address WTS toxicant exposures.

Perceived performance and impact of a non-physician-led interprofessional team in a trauma clinic setting.

Faced with the challenge of meeting the wide degree of post-discharge needs in their trauma population, the University of Pittsburgh Medical Center (UPMC) developed a non-physician-led interprofessional team to provide follow-up care at its UPMC Falk Trauma Clinic. We assessed this model of care using a survey to gauge team member perceptions of this model, and used clinic visit documentation to apply a novel approach to assessing how this model improves the care received by clinic patients. The high level of perceived team performance and cohesion suggests that this model has been successful thus far from a provider perspective. Patients are seen most frequently by audiologists, while approximately half of physical therapy and speech language therapy consults generate a new therapy referral, which is interpreted as a potential change in the patient's care trajectory. The broader message of this analysis is that a collaborative, non-hierarchical team model incorporating rehabilitative specialists, who often operate independently of one another, can be successful in this setting, where patients appear to have a strong and previously under-attended need for rehabilitative intervention.

Comparing Advanced Practice Providers and Physicians as Providers of e-Visits.

BACKGROUND: Although electronic delivery (electronic visits [e-visits]) of healthcare services by advanced practice providers (APPs) is growing, literature defining the roles of different providers and comparing outcomes is lacking. We analyzed two e-visit models at the University of Pittsburgh Medical Center (UPMC) to compare their providers (physicians and APPs) and associated outcomes. MATERIALS AND METHODS: We identified all e-visits for the UPMC AnywhereCare Continuity (physician providers for existing patients) and Convenience (physician and APP providers for Pennsylvania residents) services (n=2,184) using Epic Systems (Verona, WI) MyChart data (November 2013-August 2014). We compared e-visits by service and provider type for patient characteristics, volume, response time, primary diagnoses, and number of prescriptions. We used statistical tests to determine differences in patient characteristics and an ordinary least square linear regression, controlling for patient characteristics, to determine differences in prescribing. RESULTS: Of the completed e-visits (n=1,791), 72.5% were with APPs, and 27.5% were with physicians. APP patients were younger, higher income, and more likely to be unmarried. Sinusitis patients were more likely to use the Continuity service, whereas those with urinary tract or upper respiratory infections were more likely to use the Convenience service. Finally, provider type was significantly associated with prescribing, with APPs prescribing more. CONCLUSIONS: Some demographic variation exists between users of APP versus physician e-visits. Provider response time seems more driven by service policy than provider type. Finally, variation exists between provider types in quantities of prescriptions written. As health systems and policymakers develop protocols and reimbursement strategies for e-visits, these model considerations will be important.

Innovative approaches to interprofessional care at the University of Pittsburgh Medical Center.

The enactment of the Affordable Care Act expands coverage to millions of uninsured Americans and creates a new workforce landscape. Interprofessional Collaborative Practice (ICP) is no longer a choice but a necessity. In this paper, we describe four innovative approaches to interprofessional practice at the University of Pittsburgh Medical Center. These models demonstrate innovative applications of ICP to inpatient and outpatient care, relying on non-physician providers, training programs, and technology to deliver more appropriate care to specific patient groups. We also discuss the ongoing evaluation plans to assess the effects of these interprofessional practices on patient health, quality of care, and healthcare costs. We conclude that successful implementation of interprofessional teams involves more than just a reassignment of tasks, but also depends on structuring the environment and workflow in a way that facilitates team-based care.

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.

Vape Shop Proliferation and Noncompliance in Pennsylvania: A Pre- and Post-tax Analysis.

BACKGROUND: The growing use of electronic nicotine delivery systems (ENDS) among adolescents is a public health concern. Taxation of these products is a viable approach to reduce ENDS use, particularly among adolescents. Opponents of taxation posit that it puts specialty retailers (ie, vape shops) out of business, thereby reducing availability of ENDS for adult smokers seeking harm reduction. Pennsylvania enacted substantial ENDS taxes in October 2016. This study sought to examine (1) the prevalence of Pennsylvania vape shops before and after ENDS taxes were enacted and (2) ENDS retail licensing compliance among vape shops. METHODS: We employed standardized searches for vape shops in Pennsylvania on the Yelp business-listing platform a month prior to and for 18 consecutive months following the imposition of ENDS taxes. We then compared listings to a public database of ENDS-related retail licenses to determine compliance status. RESULTS: The number of listed vape shops increased in a linear fashion by a magnitude of 23%. In addition, when we compared a final listing of retailers to data from the state tax authority, we found roughly a quarter (22%-29%) of vape shops to be noncompliant with maintaining a valid ENDS retail license. CONCLUSIONS: Overall, ENDS taxation in Pennsylvania has not appeared to reduce prevalence of vape shops as anticipated. However, stricter enforcement of the tax law is necessary to ensure compliance among retailers. These findings have implications for implementation and enforcement of ENDS tax policy nationwide, including states that currently lack such policies.

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.

JUUL on Twitter: Analyzing Tweets About Use of a New Nicotine Delivery System.

BACKGROUND: Initial reports suggest that JUUL, a popular e-cigarette, is being used in schools and other locations in which cigarette smoking is illegal or discouraged. However, there is little scholarly research documenting this. We aimed to make a systematic analysis of JUUL use themes and sentiment on Twitter. METHODS: Data were collected from Twitter's Filtered Streams Application Programming Interface from April 12, 2018 to May 10, 2018. This yielded 67,934 tweets, from which a random sample of 2% was selected for coding. The final dataset included 1209 tweets. Inter-rater reliability ranged κ = 0.64-0.85. RESULTS: The majority (71.5%) of tweets expressed positive sentiment toward JUUL. JUUL use in places where cigarette smoking is illegal or discouraged appeared in 111 tweets (9.2%); approximately one-third of these tweets referring to using the device in school. Nearly 20% of tweets mentioned using the device at home and/or directly in front of responsible adults. CONCLUSIONS: This study confirms anecdotal reports of JUUL use in places where cigarette smoking is illegal or discouraged. Positive sentiment about use of JUUL suggests that the product is being normalized among young people. It may be valuable for educators to discuss the addictive nature of nicotine delivered through JUUL with younger populations.

Work Performance Among Informal Caregivers: A Review of the Literature.

Objectives: To examine the association between informal caregiving and caregiver work performance. Method: A systematized review of the literature. Results: We found that caregiving has an adverse impact on work performance: caregivers experience substantial work disruptions and negative work performance outcomes, and these findings were consistent across measures. Our synthesis suggests that caregivers miss a significant amount of work and have reductions in productivity due to their caregiving responsibilities. However, significant methodological limitations with the reviewed studies make systematic interpretations and causal determinations challenging. Discussion: Examining the effect of caregiving on work performance is critical to better understand the full impact of caregiving, especially as demand for caregivers increases as the population ages. This comprehensive review suggests that caregiving has a significant negative impact on work performance, although methodological challenges remain in this area of science. These findings should inform both public policy development and workplace benefits design.

Five-Year Outcomes Among Medicaid-Enrolled Children With In Utero Opioid Exposure.

The health of women and children affected by opioid use disorder is a priority for state Medicaid programs. Little is known about longer-term outcomes among Medicaid-enrolled children exposed to opioids in utero. We examined well-child visit use and diagnoses of pediatric complex chronic conditions in the first five years of life among children with opioid exposure, tobacco exposure, or neither exposure in utero. The sample consisted of 82,329 maternal-child dyads in the Pennsylvania Medicaid program in which the children were born in the period 2008-11 and followed up for five years. Children with in utero opioid exposure had a lower predicted probability of recommended well-child visit use at age fifteen months (42.1 percent) compared to those with tobacco exposure (54.1 percent) and those with neither exposure (55.7 percent). Children with in utero opioid exposure had a predicted probability of being diagnosed with a pediatric complex chronic condition similar to that among children with tobacco exposure and those with neither exposure (20.4 percent, 18.7 percent, and 20.2 percent, respectively). Our findings were consistent when we examined a subgroup of opioid-exposed children identified as having neonatal opioid withdrawal symptoms.

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.

I wake up and hit the JUUL: Analyzing Twitter for JUUL nicotine effects and dependence.

BACKGROUND: JUUL-a novel electronic nicotine delivery system (ENDS)-comprises most of the ENDS market share. Additionally, JUUL has a high nicotine content and utilizes a patented nicotine salt formulation aimed to speed absorption. Many JUUL users are not aware of the nicotine content and therefore may not be expecting acute nicotine effects or potential for dependence. This study sought to analyze Twitter messages ("tweets") regarding nicotine, symptoms of dependence, and withdrawal related to JUUL use. METHODS: Data were collected from Twitter's Filtered Streams interface 4/11-6/16/2018 by retrieving tweets matching the terms "juul," "juuls," and "juuling" that also used words consistent with nicotine effects, symptoms of dependence, and withdrawal. A random 5% subsample (n = 1986) was coded by 2 independent coders. Cohen's κ for inter-rater reliability ranged 0.62-1.00 for all coded variables. Tweets were assessed using a qualitative content analysis approach. RESULTS: A total of 335 tweets mentioned dependence-related themes, including use upon waking and compulsion to use. A total of 189 tweets mentioned themes related to nicotine, with almost 15% of these tweets describing physical effects. Additionally, 42 tweets mentioned themes related to quitting JUUL and/or withdrawal from JUUL. DISCUSSION: This qualitative analysis suggests that users of JUUL are experiencing symptoms of nicotine exposure and dependence. Considering the high nicotine content of JUUL and the rising popularity among young people, more research around initiation of and dependence on JUUL, as well as the impact of recent FDA policy changes, should be conducted.

Do Family Caregivers Offset Healthcare Costs for Older Adults? A Mapping Review on the Costs of Care for Older Adults With Versus Without Caregivers.

BACKGROUND AND OBJECTIVES: Older adults face significant long-term care and health care costs. But some of these costs can potentially be offset through family caregivers who may serve as substitutes for formal care or directly improve the care recipient's health and reduce health care utilization and expenditures. This article reviews the current literature to determine whether it is possible through existing work to compare the costs of care for individuals with versus without family caregivers and, if not, where the data, measurement, and other methodological challenges lie. RESEARCH DESIGN AND METHODS: A mapping review of published works containing information on health care utilization and expenditures and caregiving was conducted. A narrative approach was used to review and identify methodological challenges in the literature. RESULTS: Our review identified 47 articles that met our criteria and had information on caregiving and health care costs or utilization. Although findings were mixed, for the most part, having a family caregiver was associated with reduced health care utilization and a decreased risk of institutionalization however, the precise difference in health care expenditures for individuals with caregivers compared to those without was rarely examined, and findings were inconsistent across articles reviewed. DISCUSSION AND IMPLICATIONS: The number of family caregivers providing care to loved ones is expected to grow with the aging of the Baby Boomers. Various programs and policies have been proposed to support these caregivers, but they could be costly. These costs can potentially be offset if family caregivers reduce health care spending. More research is needed, however, to quantify the savings stemming from family caregiving.

Caregiver health literacy predicting healthcare communication and system navigation difficulty.

INTRODUCTION: The role of caregiver health literacy in predicting difficulty communicating with health care professionals and navigating services and supports for older adults was examined and informed by the health literacy skills framework (Squiers, Peinade, Berkman, Boudewyns, & McCormack, 2012). METHOD: Secondary analyses of cross-sectional data from the Pittsburgh Regional Caregivers Survey in 2017 were conducted. A total of 761 caregivers of older adults reported communicating with health care providers and accessing services and supports. Health care provider communication and navigation of services and supports (HCNS) was assessed through self-report questions on communication about needs of the care recipient and caregiver, and the ability to locate and arrange services and supports for the care recipient. Health literacy was assessed with self-report questions on confidence filling out forms, need for help with reading information, and comprehension with written information. A logistic regression was conducted to determine the relationship between health literacy and high HCNS difficulty while controlling for demographic and contextual caregiving characteristics. RESULTS: A fifth of the caregivers demonstrated low health literacy (n = 150, 19.7%). For a caregiver with low health literacy, the odds of having high levels of difficulty with HCNS was 2.52 times larger than the odds for a caregiver with adequate health literacy while controlling for demographic and contextual caregiving factors (odds ratio = 2.52, 95% confidence interval [1.57, 4.06]; p < .001). DISCUSSION: Findings demonstrate that poor caregiver health literacy is an important factor associated with HCNS difficulty. The health literacy of caregivers should be considered for assessments and interventions designed to identify and reduce the difficulty caregivers experience with HCNS. (PsycINFO Database Record (c) 2018 APA, all rights reserved).