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Objectives: The United States health system is challenged to improve patient and population health, enhance patients' experience of care, and reduce health care costs. Value-based health care (VBHC) models are proposed to address these issues. Medical health systems are making strides toward VBHC, whereas dental care systems lag behind. The aims of this paper are to a) present study findings of an interprofessional practice model integrating oral health and primary care in a dental practice setting, and b) discuss practice and research implications for advancing VBHC approaches in oral health.Methods: A nonexperimental research method was employed to evaluate the Nurse Practitioner-Dentist Model for Primary Care (NPD Model) at the Harvard Dental Center. Pretest/post-test design was used to assess clinical patient outcomes for a convenience cohort of Medicare beneficiaries (n = 31) with a reported diagnosis of hypertension and/or type 2 diabetes. Clinical outcome measures included: blood pressure, weight, body mass index (BMI), and Hemoglobin A1c.Results: Positive and significant improvements in biometrics (blood pressure, body weight, BMI, HbA1c) were found.Conclusions: The NPD Model is an early prototype for interprofessional VBHC in oral health and holds promise for improving patient and population health outcomes. Integration of interprofessional VBHC in oral health is an imperative for achieving the Triple Aim to improve the overall health of our nation. [ABSTRACT FROM AUTHOR]

The widespread adoption of science-based prevention requires local infrastructures for prevention service delivery. Communities That Care (CTC) is a tested prevention service delivery system that enables a local coalition of community stakeholders to use a science-based approach to prevention and improve the behavioral health of young people. This paper uses data from the Community Youth Development Study (CYDS), a community-randomized trial of CTC, to examine the extent to which better internal team functioning of CTC coalitions increases the community-wide adoption of science-based prevention within 12 communities, relative to 12 matched comparison communities. Specifically, this paper examines the potential of both a direct relationship between coalition functioning and the community-wide adoption of science-based prevention and a direct relationship between functioning and the coalition capacities that ultimately enable the adoption of science-based prevention. Findings indicate no evidence of a direct relationship between four dimensions of coalition functioning and the community-wide adoption of a science-based approach to prevention, but suggest a relationship between coalition functioning and coalition capacities (building new member skills and establishing external linkages with existing community organizations) that enable science-based prevention. [ABSTRACT FROM AUTHOR]

To mitigate COVID-19 exposure risks in methadone clinics, the Substance Abuse and Mental Health Services Administration (SAMHSA) issued a temporary modification of regulations in March 2020 to permit, with state concurrence, extended take-home methadone doses. The modification allowed for up to 28 days of take-home methadone for stable patients and 14 days for those less stable. Using both interrupted time series and difference-in-differences methods, this study examined the association between the policy change and fatal methadone overdoses, comparing states that permitted the expansion of take-home doses with states that did not. The findings suggest the pandemic emergency take-home policy did not increase methadone-involved mortality. [ABSTRACT FROM AUTHOR]

Using a statewide survey, this exploratory, cross-sectional study examined 78 domestic violence (DV) service organizations' service delivery practices and perceived challenges to serving Latinx survivors in the context of rurality. Findings showed that DV organizations in rural areas perceived more challenges to delivering culturally appropriate services for Latinx survivors compared to those in other geographic settings even after accounting for client characteristics, service provision characteristics, and community resources. The study finding offers critical insights to ensure and enhance the provision of linguistically and culturally accessible services for rural Latinx survivors of intimate partner violence. [ABSTRACT FROM AUTHOR]

Objectives: To explore (1) differences in validity and feasibility ratings for geriatric surgical standards across a diverse stakeholder group (surgeons vs. nonsurgeons, health care providers vs. nonproviders, including patient-family, advocacy, and regulatory agencies); (2) whether three multidisciplinary discussion subgroups would reach similar conclusions.Data Source/study Setting: Primary data (ratings) were reported from 58 stakeholder organizations.Study Design: An adaptation of the RAND-UCLA Appropriateness Methodology (RAM) process was conducted in May 2016.Data Collection/extraction Methods: Stakeholders self-administered ratings on paper, returned via mail (Round 1) and in-person (Round 2).Principal Findings: In Round 1, surgeons rated standards more critically (91.2 percent valid; 64.9 percent feasible) than nonsurgeons (100 percent valid; 87.0 percent feasible) but increased ratings in Round 2 (98.7 percent valid; 90.6 percent feasible), aligning with nonsurgeons (99.7 percent valid; 96.1 percent feasible). Three parallel subgroups rated validity at 96.8 percent (group 1), 100 percent (group 2), and 97.4 percent (group 3). Feasibility ratings were 76.9 percent (group 1), 96.1 percent (group 2), and 92.2 percent (group 3).Conclusions: There are differences in validity and feasibility ratings by health professions, with surgeons rating standards more critically than nonsurgeons. However, three separate discussion subgroups rated a high proportion (96-100 percent) of standards as valid, indicating the RAM can be successfully applied to a large stakeholder group. [ABSTRACT FROM AUTHOR]

Racial-ethnic minorities receive lower quality and intensity of health care compared with whites across a wide range of preventive, diagnostic, and therapeutic services and disease entities. These disparities in health care contribute to continuing racial-ethnic disparities in the burden of illness and death. Several national medical organizations and the Institute of Medicine have issued position papers and recommendations for the elimination of health care disparities. However, physicians in practice are often at a loss for how to translate these principles and recommendations into specific interventions in their own clinical practices. This paper serves as a blueprint for translating principles for the elimination of racial-ethnic disparities in health care into specific actions that are relevant for individual clinical practices. We describe what is known about reducing racial-ethnic disparities in clinical practice and make recommendations for how clinician leaders can apply this evidence to transform their own practices. [ABSTRACT FROM AUTHOR]

The Early and Periodic Screening, Diagnostic, and Treatment (EPSDT) benefit is a key component of Medicaid policy intended to define an essential set of services provided to patients younger than age 21. Given increasing attention to social determinants of health in pediatric health care, this qualitative review examines the extent to which EPSDT might be used to implement structured screening to identify environmental and social factors affecting children's health. Themes derived from semistructured interviews conducted in 2017 were triangulated with a review of the recent literature to describe how states currently consider the EPSDT benefit with respect to social determinants of health screening. Our findings suggest that, with sufficient stakeholder advocacy given the evidence supporting social determinants of health screening as "medically necessary," EPSDT benefits could be considered as a funding source to incentivize the incorporation of social determinants of health screening into the basic package of well-child care. [ABSTRACT FROM AUTHOR]

Shared decision making is a process in which patients are involved as active partners with the clinician in clarifying acceptable medical options and in choosing a preferred course of clinical care. Shared decision making offers a way of individualizing recommendations, according to patients'' special needs and preferences, when some patients may benefit from an intervention but others may not. This paper clarifies how the U.S. Preventive Services Task Force (USPSTF) envisions the application of shared decision making in the execution of screening and chemoprevention. Unlike conventional USPSTF reports, this paper is neither a systematic review nor a formal recommendation. Instead, it is a concept paper that includes a commentary on the current thinking and evidence regarding shared decision making.Although the USPSTF does not endorse a specific style of decision making, it does encourage informed and joint decisions. This means that patients should be informed about preventive services before they are performed, and that the patient–clinician partnership is central to decision making. The USPSTF suggests that clinicians inform patients about preventive services for which there is clear evidence of net benefit, and, if time permits, about other services with high visibility or special individual importance. Clinicians should make sure that balanced, evidence-based information about the service (including the potential benefits and harms, alternatives, and uncertainties) is available to the patient if needed. For preventive services for which the balance of potential benefits and harms is a close call, or for which the evidence is insufficient to guide a decision for or against screening, clinicians should additionally assist patients in determining whether individual characteristics and personal preferences favor performing or not performing the preventive service.The USPSTF believes that clinicians generally have no obligation to initiate discussion about services that have either no benefit or net harm. Nonetheless, clinicians should be prepared to explain why these services are discouraged and should consider a proactive discussion for services with high visibility or special individual importance or for services for which new evidence has prompted withdrawal of previous recommendations. [Copyright &y& Elsevier]

Although clozapine has demonstrated unique efficacy for the treatment of seriously ill patients with refractory psychosis, its real-world use presents challenges to clinicians in a variety of settings, leading to its underutilization in the United States. The barriers include a lack of prescriber knowledge and confidence, negative prescriber attitudes, special monitoring requirements, administrative burden, unprepared health systems, and inadequate appreciation of clozapine's unique nature by policy makers and payers. In 2016, the National Association of State Mental Health Program Directors (NASMHPD) gathered a national team of expert clinicians and researchers to identify and address barriers to clozapine use. NASMHPD has since expanded the work group, which convenes monthly to continue addressing specific recommendations. This Open Forum describes the deliberations of the work group and urges practitioners, administrators, local and state governments, researchers, families, and patients to join similar efforts to promote better access to clozapine and improve the treatment management for patients receiving clozapine. [ABSTRACT FROM AUTHOR]

The objective of this study was to provide initial validity evidence for responses to the newly developed Well-Being Actions Self-Efficacy (WBASE) scale from adults with obesity under an exploratory latent variable approach. Longitudinal data (Nbaseline = 667 and N30 days post-baseline = 550) from the Well-Being and Physical Activity study (ClinicalTrials.gov, identifier: NCT03194854), which deployed the Fun For Wellness (FFW) intervention, were analyzed. The a priori measurement model exhibited close fit to baseline data within an exploratory framework. Similarly, there was strong evidence for at least partial temporal measurement invariance for the a priori WBASE scale measurement model. Convergent (and divergent) correlations between concordant (and discordant) pairs of well-being actions scores at baseline and latent well-being actions self-efficacy factors at 30 days post-baseline were observed. There was mixed evidence for the effectiveness of the FFW intervention to exert a direct effect on latent well-being actions self-efficacy at 30 days post-baseline. [ABSTRACT FROM AUTHOR]

Purpose: Nurses are on the forefront of delivering care to patients hospitalized with COVID‐19. Nurses' impact on patient care can be discerned through assessment and documentation strategies, including structured and unstructured narratives, clinical pathways, flowsheets, and problem‐based approaches. To date, there are no published reports regarding nursing assessment and documentation during the COVID‐19 pandemic using an assessment framework to capture clinical decision making, nursing diagnoses, and key social determinant of health (SDoH) data. Hence, the purpose of this investigation was to conduct an exploratory nursing documentation audit of patients hospitalized with COVID‐19 during the first surge to identify types and frequency of nurse‐sensitive indicators, including SDoH. Method: This pilot study utilized a retrospective chart review design at a single academic medical center, utilizing Gordon's Eleven Functional Health Patterns (FHP) framework to extract clinical, social, and nursing assessment data for patients hospitalized with COVID‐19. Descriptive statistics were computed for continuous variables and counts/percentages for categorical variables. Findings: Data from 94 patient records were analyzed. Most patients were male (59.6%), with a mean age of 58 years. Nearly 15% of patients were Black and 12.8% were Hispanic, most residing in four geographic areas. Nine of the 11 FHPs were reflected in nurse‐sensitive indicators documented in the electronic health record. SDoH data were inconsistently documented, including race, education, history of neglect/abuse, and occupation. Conclusion: The FHP framework captured many nurse‐sensitive indicators during the first COVID‐19 surge, although screening for and documenting SDoH data were limited. Implications for nursing practice: Findings can influence the development of nursing assessment and documentation during crisis care delivery that are inclusive of distinct sociodemographic factors, in addition to clinical factors, to provide comprehensive, culturally sensitive care. Such documentation will enhance the use of nursing knowledge guided by a nursing framework to make visible the essential contributions of nurses to healthcare delivery. [ABSTRACT FROM AUTHOR]

Background: People who inject drugs (PWID) constitute 60% of the approximately 5 million people in the U.S. infected with hepatitis C virus (HCV). Treatment of PWID is complex due to addiction, mental illness, poverty, homelessness, lack of positive social support, poor adherence-related skills, low motivation and knowledge, and poor access to and trust in the health care system. New direct-acting antiviral medications are available for HCV with high cure rates and few side effects. The life expectancy and economic benefits of new HCV treatments will not be realized unless we determine optimal models of care for the majority of HCV-infected patients. The purpose of this study is to evaluate the effectiveness of directly observed therapy and group treatment compared with self-administered individual treatment in a large, urban opioid agonist therapy clinic setting in the Bronx, New York.Methods/design: In this randomized controlled trial 150 PWID with chronic HCV were recruited from opioid agonist treatment (OAT) clinics and randomized to one of three models of onsite HCV treatment in OAT: 1) modified directly observed therapy; 2) group treatment; or 3) control - self-administered individual treatment. Participants were age 18 or older, HCV genotype 1, English or Spanish speaking, treatment naïve (or treatment experienced after 12/3/14), willing to receive HCV treatment onsite, receiving methadone or buprenorphine at the medication window at least once per week, and able to provide informed consent. Outcomes of interest include adherence (as measured by self-report and electronic blister packs), HCV treatment completion, sustained virologic response, drug resistance, and cost-effectiveness.Discussion: This paper describes the design and rationale of a randomized controlled trial comparing three models of care for HCV therapy delivered in an opioid agonist treatment program. Our trial will be critical to rigorously identify models of care that result in high adherence and cure rates. Use of blister pack technology will help us determine the role of adherence in successful cure of HCV. Moreover, the trial methodology outlined here can serve as a template for the development of future programs and studies among HCV-infected drug users receiving opioid agonist therapy, as well as the cost-effectiveness of such programs.Trial Registration: This trial was registered with ClinicalTrials.gov ( NCT01857245 ). Trial registration was obtained prospectively on May 20th, 2013. [ABSTRACT FROM AUTHOR]

The patient-provider relationship is considered a cornerstone to delivering high-value healthcare. However, in Medicaid managed care settings, disruptions to this relationship are disproportionately common. In this paper, I evaluate the impact of a primary provider's exit from a Medicaid managed care plan on adult beneficiary healthcare utilization and outcomes. Using an event study approach, I estimate a 5% decrease in the number of beneficiaries with primary care visits in the year following the exit, with slightly larger effects in terms of percentage points for patients with chronic conditions. Additionally, I observe a nearly 50% increase in the number of beneficiaries with a chronic condition who are hospitalized following a disruption. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to determine the extent that physical function discrete data elements (DDE) documented in electronic health records (EHR) are complete within pediatric rehabilitation settings. Methods: A descriptive analysis on completeness of EHR-based DDEs detailing physical functioning for children with cerebral palsy was conducted. Data from an existing pediatric rehabilitation research learning health system data network, consisting of EHR data from 20 care sites in a pediatric specialty health care system, were leveraged. Completeness was calculated for unique data elements, unique outpatient visits, and unique outpatient records. Results: Completeness of physical function DDEs was low across 5766 outpatient records (10.5%, approximately 2 DDEs documented). The DDE for Gross Motor Function Classification System level was available for 21% (n = 3746) outpatient visits and 38% of patient records. Ambulation level was the most frequently documented DDE. Intercept only mixed effects models demonstrated that 21.4% and 45% of the variance in completeness for DDEs and the Gross Motor Function Classification System, respectively, across unique patient records could be attributed to factors at the individual care site level. Conclusion: Values of physical function DDEs are missing in designated fields of the EHR infrastructure for pediatric rehabilitation providers. Although completeness appears limited for these DDEs, our observations indicate that data are not missing at random and may be influenced by system-level standards in clinical documentation practices between providers and factors specific to individual care sites. The extent of missing data has significant implications for pediatric rehabilitation quality measurement. More research is needed to understand why discrete data are missing in EHRs and to further elucidate the professional and system-level factors that influence completeness and missingness. Impact: Completeness of DDEs reported in this study is limited and presents a significant opportunity to improve documentation and standards to optimize EHR data for learning health system research and quality measurement in pediatric rehabilitation settings. [ABSTRACT FROM AUTHOR]

Abstract: This paper introduces a health state modeling approach using clustering and Markov analysis to compare short- and long-term outcomes among health care populations. We provide a comparison to more conventional mixed effects regression methods and show that discrete state modeling offers a richer portrait of patient outcomes than the standard univariate techniques. We demonstrate our approach using primary data from a three year observational study of patients treated for schizophrenia at a VA Medical Center (VA) and in a Community Mental Health Center (CMHC) in the same urban community. Randomly selected samples of outpatients treated for schizophrenia or schizoaffective disorder were interviewed every six months using standardized psychiatric assessments such as the Positive and Negative Syndrome Scale (PANSS). Items from the PANSS were used to define 7 discrete health states representing different levels of severity and diverse mixtures of psychiatric symptoms. Conventional analysis showed that VA patients exhibited increasingly severe symptoms, while CMHC patients remained more stable over the study period. Health state analysis reinforced these results but also identified which subpopulations of VA patients were deteriorating. In particular they showed that there was little change over time among VA patients in the best and worst health states. Instead the deterioration was caused by VA patients with: a) mild symptoms and hallucinations and b) serious positive and negative symptoms, being more likely to enter a state with severe positive and negative symptoms accompanied by moderate general distress. [Copyright &y& Elsevier]

Objective: To develop outcome measures that are more sensitive than current measures for evaluating primary or transitional care after hospitalizations, emergency department (ED) visits, or observation stays.Data Sources: Medicare claims data from January 1, 2015, to October 31, 2017, for 1 261 707 Medicare fee-for-service beneficiaries served by (a) primary care practices participating in Track 1 of the Comprehensive Primary Care Plus (CPC+) initiative, and (b) their matched comparison practices.Study Design: Given the poor statistical power in many studies to detect effects on readmissions, we developed two novel claims-based measures of unplanned acute care (UAC) following an index acute care event. The first measure assesses the proportion of hospitalizations followed by an unplanned readmission, ED visit, or observation stay within 30 days of discharge; the second assesses the proportion of ED visits and observation stays followed by a hospitalization, ED visit, or observation stay within 30 days. We calculate minimum detectable effects (MDEs) for both measures and for a conventional measure of 30-day unplanned readmissions, using CPC+ data.Principal Findings: Repeat UAC events are common among Medicare beneficiaries served by the CPC+ practices. In 2017, 22% of discharges and 21% of ED visits and observation stays had a UAC event within 30 days. Readmissions were the most common UAC event following discharge, whereas ED visits were most common following index ED visits or observation stays. MDEs are 25%-40% lower for the new measures than for the standard 30-day readmissions measure, indicating better statistical power to detect impacts of primary or transitional care interventions.Conclusions: This study introduces two new claims-based measures to assess quality of care during a patient's vulnerable period following acute care. The new measures complement existing measures, covering a broader range of UAC events than the standard 30-day readmissions measure, and yielding greater statistical power. [ABSTRACT FROM AUTHOR]

Background: Prior authorization of prescription medications is a policy tool that can potentially impact care quality and patient safety.Objective: To examine the effectiveness of a mandatory peer-review program in reducing antipsychotic prescriptions among Medicaid-insured children, accounting for secular trends that affected antipsychotic prescribing nationally.Data Source: Medicaid Analytical eXtracts (MAX) with administrative claims for health services provided between January 2006 and December 2011.Study Design: This retrospective, observational study examined prescription claims records from Washington State (Washington) and compared them to a synthetic control drawing from 20 potential donor states that had not implemented any antipsychotic prior authorization program or mandatory peer review for Medicaid-insured children during the study period. This method provided a means to control for secular trends by simulating the antipsychotic use trajectory that the program state would have been expected to experience in the absence of the policy implementation.Principal Findings: Before the policy implementation, antipsychotic use prevalence closely tracked those of the synthetic control (6.17 per 1000 in Washington vs. 6.21 in the synthetic control group). Within two years after the policy was implemented, prevalence decreased to 4.04 in Washington and remained stable in the synthetic control group (6.47), corresponding to an approximately 38% decline.Conclusion: Prior authorization program designs and implementations vary widely. This mandatory peer-review program, with an authorization window and two-stage rollout, was effective in moving population level statistics toward safe and judicious use of antipsychotic medications in children. [ABSTRACT FROM AUTHOR]

Objective: To evaluate episode-based payments for upper respiratory tract infections (URI) and perinatal care in Arkansas's Medicaid population.Study Setting: Upper respiratory infection and perinatal episodes among Medicaid-covered individuals in Arkansas and comparison states from fiscal year (FY) 2011 to 2014.Study Design: Cross-sectional observational analysis using a difference-in-difference design to examine outcomes associated with URI and perinatal episodes of care (EOC) from 2011 to 2014. Key dependent variables include antibiotic use, emergency department visits, physician visits, hospitalizations, readmission, and preventive screenings.Data Collection: Claims data from the Medicaid Analytic Extract for Arkansas, Mississippi, and Missouri from 2010 to 2014 with supplemental county-level data from the Area Health Resource File (AHRF).Principal Findings: The URI EOC reduced the probability of antibiotic use (marginal effect [ME] = -1.8, 90% CI: -2.2, -1.4), physician visits (ME = 0.6, 90% CI: -0.8, -0.4), improved the probability of strep tests for children diagnosed with pharyngitis (ME = 9.4, 90% CI: 8.5, 10.3), but also increased the probability of an emergency department (ED) visit (ME = 0.1, 90% CI: 0.1, 0.2), relative to the comparison group. For perinatal EOCs, we found a reduced probability of an ED visit during pregnancy (ME = 0.1, 90% CI: -0.2, -0.0), an increased probability of screening for HIV (ME = 6.2, 90% CI: 4.0, 8.5), chlamydia (ME = 9.5, 90% CI: 7.2, 11.8), and group B strep-test (ME = 2.6, 90% CI: 0.5, 4.6), relative to the comparison group. Predelivery and postpartum hospitalizations also increased (ME = 1.2, 90% CI: 0.4, 2.0; ME = 0.4, 90% CI: 0.0, 0.8, respectively), relative to the comparison group.Conclusion: Upper respiratory infection and perinatal EOCs for Arkansas Medicaid beneficiaries produced mixed results. Aligning shared savings with quality metrics and cost-thresholds may help achieve quality targets and disincentivize over utilization within the EOC, but may also have unintended consequences. [ABSTRACT FROM AUTHOR]

Objective: Healthcare leaders seek guidance on prudent investment in programs that improve patient outcomes and reduce costs, which includes the value of nutrition therapy. The purpose of this project was to conduct an evidence review and evaluate claims analyses to understand the financial and quality impact of nutrition support therapy on high-priority therapeutic conditions.Methods: Task 1 included a review of existing literature from 2013 to 2018 to identify evidence that demonstrated the clinical and economic impact of nutrition intervention on patient outcomes across 13 therapeutic areas (TAs). In Task 2, analytic claims modeling was performed using the Medicare Parts A and B claims 5% sample dataset. Beneficiaries diagnosed in 5 selected TAs (sepsis, gastrointestinal [GI] cancer, hospital-acquired infections, surgical complications, and pancreatitis) were identified in the studies from Task 1, and their care costs were modeled based on nutrition intervention.Results: Beginning with 1099 identified articles, 43 articles met the criteria, with a final 8 articles used for the Medicare claims modeling. As examples of the modeling demonstrated, the use of advanced enteral nutrition formula could save at least $52 million annually in a sepsis population. The total projected annual cost savings from the 5 TAs was $580 million.Conclusion: Overall, optimization of nutrition support therapy for specific patient populations is estimated to reduce Medicare spending by millions of dollars per year across key TAs. These findings demonstrate the evidence-based value proposition of timely nutrition support to improve clinical outcomes and yield substantial cost savings. [ABSTRACT FROM AUTHOR]

Objective: To assess factors associated with the ability to achieve and maintain target serum urate (SU) with allopurinol in patients with gout.Methods: We used US Veterans Affairs (VA) databases from 2002-2012. Eligible patients had ≥ 1 inpatient or ≥ 2 outpatient visits with a diagnostic code for gout, filled a new index allopurinol prescription, had at least 1 posttreatment SU level measured, and met the 12-month observability rule. Treatment successes were defined as the achievement of postindex SU < 6 mg/dl (success 1) and postindex SU < 6 mg/dl that was sustained (success 2).Results: Of the 198,839 unique patients with allopurinol use, 41,153 unique patients (with 47,072 episodes) and 17,402 unique patients (with 18,323 episodes) were eligible for analyses for success 1 and success 2; 42% each achieved (success 1) or achieved and maintained postindex SU < 6 mg/dl (success 2). In multivariable-adjusted models, factors associated with significantly higher odds of both outcomes were older age, normal body mass index, Deyo-Charlson index score of 0, rheumatologist as the main provider rather than non-rheumatologist, midwestern US location for the healthcare facility, a lower hospital bed size, military service connection for medical conditions of 50% or more (a measure of healthcare access priority), longer distance to the nearest VA facility, and lower preindex SU.Conclusion: We identified novel factors associated with maintaining SU < 6 mg/dl based on a theoretical model. Several potentially modifiable factors can be targeted by individual/provider/systems interventions for improving successful achievement and maintenance of target SU in patients with gout. [ABSTRACT FROM AUTHOR]

Objective: To compare different methods of indexing health care service prices for the commercially insured population across geographic markets.Data Sources: Health Care Cost Institute commercial claims data from 2012 to 2016.Study Design: We compare price indices computed using methods with differing levels of computational intensity: weighted-average versus regression-based methods. We separately compute indices of the prices paid for set of common inpatient and set of common outpatient services in different markets across the United States using each type of method. We subsequently examined the variation of and correlations between the resulting index values.Data Collection/extraction Methods: We computed health care service price indices separately using samples of inpatient and outpatient facility claims from 2012 to 2016 across 112 Core-Based Statistical Areas. Within each category of services, claims were limited to members under the age of 65 with employer-sponsored insurance. Both samples were limited to a common set of services that made up nearly 80 percent of the service use in the full sample every year.Principal Findings: We found that the methods studied produced highly correlated price indices (r > .94) with similar distributions across years for both inpatient and outpatient services.Conclusions: Our findings suggest that weighted-average methods, which are much less computationally intensive, will generate results similar to regression-based methods. [ABSTRACT FROM AUTHOR]

Objective: Immigrants, especially refugees, face unique barriers to accessing health care relative to native born Americans. In this study, we examined how immigration status, health, barriers to access, and knowledge of the health care system relate to the likelihood of having a regular health care provider.Methods: Using logistic regression and data from a community-based participatory study, we estimated the relative likelihood that an African immigrant woman would have a regular health care provider compared with an African American woman.Results: Immigrant status remains a powerful predictor of whether a woman had a regular health care provider after controlling for covariates. African immigrants were 73% less likely to have a regular health care provider than were otherwise similar African American women.Conclusion: Expanding health care educational efforts for immigrants may be warranted. Future research should examine how cultural beliefs and time in residence influence health care utilization among US immigrants. [ABSTRACT FROM AUTHOR]

Nursing students' beliefs about etiology and manifestation of mental illness will impact on their professional attitudes in future clinical practice. The aims of the present study were to examine and compare US and Chinese undergraduate nursing students' recognition of, and beliefs about, causes of depression and schizophrenia. A total of 310 US (n = 152) and Chinese (n = 158) nursing students completed the Australian National Mental Health Literacy Survey questionnaire between April 2016 and April 2017. Although nursing students in the USA and China were highly accurate in recognizing depression and schizophrenia, the US students were more likely to nominate multiple items alongside the correct diagnosis than the Chinese students. The Chinese students were more likely to view depression and schizophrenia as multi‐causally‐determined mental disorders than the US students. The findings highlight the need for the incorporation of mental health issues, including symptomatology of different mental disorders and their application to patient care, into various aspects of the US nursing curriculum. In China, opportunities can be created for nursing students to discuss the impact of personal beliefs on care delivery and social stigma during clinical placement. [ABSTRACT FROM AUTHOR]

Background Middle-aged and older adults requiring skilled home healthcare ('home health') services following hospital discharge are at high risk of experiencing suboptimal outcomes. Information management (IM) needed to organise and communicate care plans is critical to ensure safety. Little is known about IM during this transition. Objectives (1) Describe the current IM process (activity goals, subactivities, information required, information sources/targets and modes of communication) from home health providers' perspectives and (2) Identify IMrelated process failures. Methods Multisite qualitative study. We performed semistructured interviews and direct observations with 33 home health administrative staff, 46 home health providers, 60 middle-aged and older adults, and 40 informal caregivers during the preadmission process and initial home visit. Data were analysed to generate themes and information flow diagrams. Results We identified four IM goals during the preadmission process: prepare referral document and inform agency; verify insurance; contact adult and review case to schedule visit. We identified four IM goals during the initial home visit: assess appropriateness and obtain consent; manage expectations; ensure safety and develop contingency plans. We identified IM-related process failures associated with each goal: home health providers and adults with too much information (information overload); home health providers without complete information (information underload); home health coordinators needing information from many places (information scatter); adults' and informal caregivers' mismatched expectations regarding home health services (information conflict) and home health providers encountering inaccurate information (erroneous information). Conclusions IM for hospital-to-home health transitions is complex, yet key for patient safety. Organisational infrastructure is needed to support IM. Future clinical workflows and health information technology should be designed to mitigate IM-related process failures to facilitate safer hospital-to-home health transitions. [ABSTRACT FROM AUTHOR]

Objective: To estimate health care utilization and costs incurred by homeless Veterans relative to nonhomeless Veterans and to examine the impact of a VA homelessness program on these outcomes.Data Sources/study Setting: Combined Department of Veterans Affairs (VA) administrative and Medicare claims data.Study Design: Observational study using longitudinal data from Veterans engaged with the VA system and enrolled in Medicare. Veterans with administrative evidence of homelessness at any point during 2006-2010 were matched on period of military service to Veterans with no evidence of homelessness.Principal Findings: Experience of homelessness was associated with 1.37 (95 percent CI = 1.34-1.40) and 0.16 (95 percent CI = 0.14-0.17) more outpatient encounters per quarter in VA and non-VA settings, respectively, and 1.31 (95 percent CI = 1.30-1.32) and 0.49 (95 percent CI = 0.48-0.49) more inpatient days per quarter in VA and non-VA hospitals, respectively. These were associated with higher costs. Relative to stably housed Veterans less than 65 years of age, those enrolled in a VA homelessness program had 94.4 percent (95 percent CI = 90.7 percent-98.1 percent) more VA outpatient visits but 5.5 percent (95 percent CI = 3.0 percent-7.9 percent) fewer Medicare outpatient visits.Conclusions: Homelessness was associated with an increase in VA and Medicare utilization and cost. A VA homelessness program decreased use of Medicare outpatient services. [ABSTRACT FROM AUTHOR]

Objective: To measure how much of the postdischarge cost and utilization attributable to methicillin-resistant Staphylococcus aureus (MRSA) health care-associated infections (HAIs) occur within the US Department of Veterans Affairs (VA) system and how much occurs outside.Data Sources/study Setting: Health care encounters from 3 different settings and payment models: (1) within the VA; (2) outside the VA but paid for by the VA (purchased care); and (3) outside the VA and paid for by Medicare.Study Design: Historical cohort study using data from admissions to VA hospitals between 2007 and 2012.Methods: We assessed the impact of a positive MRSA test result on costs and utilization during the 365 days following discharge using inverse probability of treatment weights to balance covariates.Principal Findings: Among a cohort of 152,687 hospitalized Veterans, a positive MRSA test result was associated with an overall increase of 6.6 (95 percent CI: 5.7-7.5) inpatient days and $9,237 (95 percent CI: $8,211-$10,262) during the postdischarge period. VA inpatient admissions, Medicare reimbursements, and purchased care payments accounted for 60.6 percent, 22.5 percent, and 16.9 percent of these inpatient costs.Conclusions: While most of the excess postdischarge health care costs associated with MRSA HAIs occurred in the VA, non-VA costs make up an important subset of the overall burden. [ABSTRACT FROM AUTHOR]

Objective: It remains unknown whether high-functioning teams can compensate for poor continuity of care to support important patient outcomes.Data Source: Linked VA administrative and Medicare claims data to measure the relationship of team-based care and continuity of care with high-cost utilization.Study Design: Retrospective cohort study of 1.2 million VA-Medicare dual eligible Veterans assigned to a VA primary care provider (PCP) in 2012. Continuity was the proportion of primary care visits to the assigned VA provider of care. Clinics were categorized as low, average, or high-team functioning based on survey data. Our primary outcomes were the number of all-cause hospitalizations, ambulatory care sensitive (ACSC) hospitalizations, and emergency department (ED) visits in 2013.Principal Findings: A 10-percentage point increase in continuity with a VA PCP was associated with 4.5 fewer hospitalizations (p < .001), 3.2 fewer ACSC hospitalizations (p < .001), and 2.6 more ED visits (p = .07) per 1,000 patients. Team-based care was not significantly associated with any high-cost utilization category. Associations were heterogeneous across VA-reliant and nonreliant Veterans. Finally, the interaction results demonstrated that the quality of team-based care functioning could not compensate for poor continuity on hospitalizations, ACSC hospitalizations, or ED visits.Conclusions: In Veterans who were reliant on the VA for services, increasing continuity with a VA PCP and high-functioning team-based care clinics was associated with fewer ED visits and hospitalizations. Furthermore, leveraging combined data from VA and Medicare allowed to better measure continuity and assess high-cost utilization among Veterans who are and are not reliant on the VA for services. [ABSTRACT FROM AUTHOR]

Objective: To assess differences in risk (measured by expected costs associated with sociodemographic and clinical profiles) between Veterans receiving outpatient services through two community care (CC) programs: the Fee program ("Fee") and the Veterans Choice Program ("Choice").Data Sources/study Setting: Administrative data from VHA's Corporate Data Warehouse in fiscal years (FY) 2014-2015.Study Design: We compared the clinical characteristics of Veterans across three groups (Fee only, Choice only, and Fee & Choice). We classified Veterans into risk groups based on Nosos risk scores and examined the relationship between type of outpatient utilization and risk within each CC group. We also examined changes in utilization of VHA and CC in FY14-FY15. We used chi-square tests, t tests, and ANOVAs to identify significant differences between CC groups.Principal Findings: Of the 1,400,977 Veterans using CC in FY15, 91.4 percent were Fee-only users, 4.4 percent Choice-only users, and 4.2 percent Fee & Choice users. Mean concurrent risk scores were higher for Fee only and Fee & Choice (1.9, SD = 2.7; 1.8, SD = 2.2) compared to Choice-only users (1.0, SD = 1.2) (p < .0001). Most CC users were "dual users" of both VHA and CC in FY14-FY15.Conclusions: As care transitions from VHA to CC, VHA should consider how best to coordinate care with community providers to reduce duplication of efforts, improve handoffs, and achieve the best outcomes for Veterans. [ABSTRACT FROM AUTHOR]

Objective: To examine the prevalence of concurrent Veterans Health Administration (VA) and non-VA prescriptions for opioids and sedative-hypnotic medications among post-9/11 veterans in Oregon.Data Sources: VA health care and prescription data were probabilistically linked with Oregon Prescription Drug Monitoring Program (PDMP) data.Study Design: This retrospective cohort study examined concurrent prescriptions among n = 19,959 post-9/11 veterans, by year (2014-2016) and by patient demographic and clinical characteristics. Veterans were included in the cohort for years in which they received VA outpatient care; those receiving hospice or palliative care were excluded. Concurrent prescriptions were defined as ≥1 days of overlap between outpatient prescriptions for opioids and/or sedative-hypnotics (categorized as benzodiazepines vs. non-benzodiazepines).Principal Findings: Among 5,882 veterans who filled opioid or sedative-hypnotic prescriptions at VA pharmacies, 1,036 (17.6 percent) filled concurrent prescriptions from non-VA pharmacies. Within drug class, 15.1, 8.8, and 4.6 percent received concurrent VA and non-VA opioids, benzodiazepines, and non-benzodiazepines, respectively. Veteran demographics and clinical diagnoses were associated with the likelihood of concurrent prescriptions, as was enrollment in the Veterans Choice Program.Conclusions: A considerable proportion of post-9/11 veterans receiving VA care in Oregon filled concurrent prescriptions for opioids and sedative-hypnotics. Fragmentation of care may contribute to prescription drug overdose risk among veterans. [ABSTRACT FROM AUTHOR]

Objective: To examine the association between medical home enrollment and receipt of recommended care for Medicaid beneficiaries with multiple chronic conditions (MCC).Data Sources/study Setting: Secondary claims data from fiscal years 2008-2010. The sample included nonelderly Medicaid beneficiaries with at least two of eight target conditions (asthma, chronic obstructive pulmonary disease, diabetes, hypertension, hyperlipidemia, seizure disorder, major depressive disorder, and schizophrenia).Study Design: We used linear probability models with person- and year-level fixed effects to examine the association between patient-centered medical home (PCMH) enrollment and nine disease-specific quality-of-care metrics, controlling for selection bias and time-invariant differences between enrollees.Data Collection Methods: This study uses a dataset that links Medicaid claims with other administrative data sources.Principal Findings: Patient-centered medical home enrollment was associated with an increased likelihood of receiving eight recommended mental and physical health services, including A1C testing for persons with diabetes, lipid profiles for persons with diabetes and/or hyperlipidemia, and psychotherapy for persons with major depression and persons with schizophrenia. PCMH enrollment was associated with overuse of short-acting β-agonists among beneficiaries with asthma.Conclusions: The PCMH model can improve quality of care for patients with multiple chronic conditions. [ABSTRACT FROM AUTHOR]

Objective: To characterize the nature and degree of hospitals' efforts to collaborate with skilled nursing facilities (SNFs) and associated patient outcomes.Data Sources/study Setting: Qualitative data were collected through 138 interviews with staff in 16 hospitals and 25 SNFs in eight markets across the United States in 2015. Quantitative data include Medicare claims data for the 290,603 patients discharged from those 16 hospitals between 2008 and 2015.Study Design/data Collection: Semi-structured interviews with hospital and SNF staff were coded and used to classify hospitals' collaboration efforts with SNFs into high versus low collaboration hospitals, and risk-adjusted, claims-based hospital readmission rates from SNF were compared.Principal Findings: Hospital collaboration efforts were defined as establishing SNF partners, transition management initiatives, and hospital staff visits to SNFs. High collaboration hospitals were more likely to send patients to SNFs (as opposed to home, home with home health, or other PAC settings), sent a higher share of patients to high quality SNFs, and had fewer hospital readmissions from SNF sooner than did low collaboration hospitals.Conclusions: Although collaboration with SNF requires significant administrative and clinical time investment, it is associated with positive patient outcomes. [ABSTRACT FROM AUTHOR]

Objective: The concept of shifting from volume (i.e., billing for as many patients and services as possible) to value (i.e., reducing costs while improving quality) has been a key underpinning of the development of accountable care organizations (ACOs), yet the cultural change necessary to make this shift has been previously unexplored.Data Sources/study Setting: Primary data collected through site visits to four private sector ACOs.Study Design: Cross-sectional, semi-structured interview study with analysis done at the ACO level to learn about ACO development.Data Collection: One hundred and forty-eight interviews recorded and transcribed verbatim followed by rigorous qualitative analysis using a grounded theory approach.Principal Findings: The importance of shifting organizational culture from volume to value was emphasized across sites and interviewees, particularly when defining an ACO; describing the shift in organizational focus to value; and discussing how to create value by emphasizing quality over volume. Value was viewed as more than cost-benefit, but rather encapsulated a paradigmatic cultural change in the way care is provided.Conclusions: We found that moving from volume to value is central to the culture change required of an ACO. Our findings can inform future efforts that aim to create a more effective value-based health care system. [ABSTRACT FROM AUTHOR]

Objective: To assess frequency, type, and extent of behavioral health (BH) nonquantitative treatment limits (NQTLs) before and after implementation of the Mental Health Parity and Addiction Equity Act of 2008 (MHPAEA).Data Sources: Secondary administrative data for Optum carve-out and carve-in plans.Study Design: Cross-tabulations and "two-part" regression models were estimated to assess associations of parity period with NQTLs.Data Collection/extraction Methods: Optum provided four proprietary BH databases, including 2008-2013 data for 40 carve-out and 385 carve-in employers from Optum's claims processing databases and 2010 data from interviews conducted by Optum's parity compliance team with 49 carve-out employers.Principal Findings: Preparity, carve-out plans required preauthorization for in-network inpatient/intermediate care; otherwise coverage was denied. Postparity, 73 percent would review later by request and half charged no penalty for late authorization. Outpatient visit authorization requirements virtually disappeared. For carve-out out-of-network inpatient/intermediate care, and for carve-ins, plans changed penalties to match medical service policies, but this did not necessarily lead to fewer requirements or lower penalties.Conclusion: After 2011, MHPAEA was associated with the transformation of BH care management, including much less restrictive preauthorization requirements, especially for in-network care provided by carve-out plans. [ABSTRACT FROM AUTHOR]

Objective: To propose nonparametric double robust machine learning in variable importance analyses of medical conditions for health spending.Data Sources: 2011-2012 Truven MarketScan database.Study Design: I evaluate how much more, on average, commercially insured enrollees with each of 26 of the most prevalent medical conditions cost per year after controlling for demographics and other medical conditions. This is accomplished within the nonparametric targeted learning framework, which incorporates ensemble machine learning. Previous literature studying the impact of medical conditions on health care spending has almost exclusively focused on parametric risk adjustment; thus, I compare my approach to parametric regression.Principal Findings: My results demonstrate that multiple sclerosis, congestive heart failure, severe cancers, major depression and bipolar disorders, and chronic hepatitis are the most costly medical conditions on average per individual. These findings differed from those obtained using parametric regression.Conclusions: The literature may be underestimating the spending contributions of several medical conditions, which is a potentially critical oversight. If current methods are not capturing the true incremental effect of medical conditions, undesirable incentives related to care may remain. Further work is needed to directly study these issues in the context of federal formulas. [ABSTRACT FROM AUTHOR]

Importance: Bundled payments are an increasingly common alternative payment model for Medicare, yet there is limited evidence regarding their effectiveness.Objective: To report interim outcomes from the first year of implementation of a bundled payment model for lower extremity joint replacement (LEJR).Design, Setting, and Participants: As part of a 5-year, mandatory-participation randomized trial by the Centers for Medicare & Medicaid Services, eligible metropolitan statistical areas (MSAs) were randomized to the Comprehensive Care for Joint Replacement (CJR) bundled payment model for LEJR episodes or to a control group. In the first performance year, hospitals received bonus payments if Medicare spending for LEJR episodes was below the target price and hospitals met quality standards. This interim analysis reports first-year data on LEJR episodes starting April 1, 2016, with data collection through December 31, 2016.Exposure: Randomization of MSAs into the CJR bundled payment model group (75 assigned; 67 included) or to the control group without the CJR model (121 assigned; 121 included). Instrumental variable analysis was used to evaluate the relationship between inclusion of MSAs in the CJR model and outcomes.Main Outcomes and Measures: The primary outcome was share of LEJR admissions discharged to institutional postacute care. Secondary outcomes included the number of days in institutional postacute care, discharges to other locations, Medicare spending during the episode (overall and for institutional postacute care), net Medicare spending during the episode, LEJR patient volume and patient case mix, and quality-of-care measures.Results: Among the 196 MSAs and 1633 hospitals, 131 285 eligible LEJR procedures were performed during the study period (mean volume, 110 LEJR episodes per hospital) among 130 343 patients (mean age, 72.5 [SD, 0.91] years; 65% women; 90% white). The mean percentage of LEJR admissions discharged to institutional postacute care was 33.7% (SD, 11.2%) in the control group and was 2.9 percentage points lower (95% CI, -4.95 to -0.90 percentage points) in the CJR group. Mean Medicare spending for institutional postacute care per LEJR episode was $3871 (SD, $1394) in the control group and was $307 lower (95% CI, -$587 to -$27) in the CJR group. Mean overall Medicare spending per LEJR episode was $22 872 (SD, $3619) in the control group and was $453 lower (95% CI, -$909 to $3) in the CJR group, a statistically nonsignificant difference. None of the other secondary outcomes differed significantly between groups.Conclusions and Relevance: In this interim analysis of the first year of the CJR bundled payment model for LEJR among Medicare beneficiaries, MSAs covered by CJR, compared with those that were not, had a significantly lower percentage of discharges to institutional postacute care but no significant difference in total Medicare spending per LEJR episode. Further evaluation is needed as the program is more fully implemented.Trial Registration: ClinicalTrials.gov Identifier: NCT03407885; American Economic Association Registry Identifier: AEARCTR-0002521. [ABSTRACT FROM AUTHOR]

Objective: This study analyzed health service patterns before opioid-related death among nonelderly individuals in the Medicaid program, focusing on decedents with and without past-year diagnoses of noncancer chronic pain.Methods: The authors identified opioid-related decedents, age ≤64 years, in the Medicaid program and characterized their clinical diagnoses, filled medication prescriptions, and nonfatal poisoning events during the 30 days and 12 months before death. The study group included 13,089 opioid-related deaths partitioned by presence or absence of chronic noncancer pain diagnoses in the last year of life.Results: Most decedents (61.5%) had received clinical diagnoses of chronic noncancer pain conditions in the last year of life. As compared with decedents without chronic pain diagnoses, those with these diagnoses were significantly more likely to have filled prescriptions for opioids (49.0% versus 17.2%) and benzodiazepines (52.1% versus 26.6%) during the last 30 days of life, while diagnoses of opioid use disorder during this period were uncommon in both groups (4.2% versus 4.3%). The chronic pain group was also significantly more likely than the nonpain group to receive clinical diagnoses of drug use (40.8% versus 22.1%), depression (29.6% versus 13.0%) or anxiety (25.8% versus 8.4%) disorders during the last year of life.Conclusions: Persons dying of opioid-related causes, particularly those who were diagnosed with chronic pain conditions, commonly received services related to drug use disorders and mental disorders in the last year of life, though opioid use disorder diagnoses near the time of death were rare. [ABSTRACT FROM AUTHOR]

Objective: To assess the impact of proxy survey responses on cancer care experience reports and quality ratings.Data Sources/study Setting: Secondary analysis of data from Cancer Care Outcomes Research and Surveillance (CanCORS). Recruitment occurred from 2003 to 2005.Study Design: The study was a cross-sectional observational study. The respondents were patients with incident colorectal or lung cancer or their proxies.Data Collection/extraction Methods: Analyses used linear regression models with an independent variable for proxy versus patient responses as well as study site and clinical covariates. The outcomes were experiences with medical care, nursing care, care coordination, and care quality rating. Multiple imputation was used for missing data.Principal Findings: Among 6,471 respondents, 1,011 (16 percent) were proxies. The proportion of proxy respondents varied from 6 percent to 28 percent across study sites. Adjusted proxy scores were modestly higher for medical care experiences (+1.28 points [95 percent CI:+ 0.05 to +2.51]), but lower for nursing care (-2.81 [95 percent CI: -4.11 to -1.50]) and care coordination experiences (-2.98 [95 percent CI: -4.15 to -1.81]). There were no significant differences between adjusted patient and proxy ratings of quality.Conclusions: Proxy responses have small but statistically significant differences from patient responses. However, if ratings of care are used for financial incentives, such differences could be exaggerated across practices or areas if proxy use varies. [ABSTRACT FROM AUTHOR]

Objectives: To determine how frequently patients revisit the emergency department after an initial encounter, and to describe revisit capture rates for the same hospital, health system, and geographic region.Data Sources/study Setting: Florida state data from January 1, 2010, to June 30, 2011, from the Healthcare Cost and Utilization Project.Study Design: This is a retrospective cohort study of emergency department return visits among Florida adults over an 18-month period. We evaluated pairs of index and 30-day return emergency department visits and compared capture rates for hospital, health system, and geographic units.Data Collection/extraction Methods: Data were obtained from the Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project and the American Hospital Association Annual Survey Database.Principal Findings: Among 9,416,212 emergency department visits, 22.6 percent (2,124,441) were associated with a 30-day return. Seventy percent (1,477,772) of 30-day returns occurred to the same hospital. The 30-day return capture rates were highest within the same geographic area: county-level capture at 92 percent (IQR=86-96 percent) versus health system capture at 75 percent (IQR = 68-81 percent).Conclusions: Acute care utilization patterns are often independent of health system boundaries. Current population-based health care models that attribute patients to a single provider or health system may be strengthened by considering geographic patterns of acute care utilization. [ABSTRACT FROM AUTHOR]

Objective: (1) To evaluate the operational efficiency of various sampling methods for patient exit interviews; (2) to discuss under what circumstances each method yields an unbiased sample; and (3) to propose a new, operationally efficient, and unbiased sampling method.Study Design: Literature review, mathematical derivation, and Monte Carlo simulations.Principal Findings: Our simulations show that in patient exit interviews it is most operationally efficient if the interviewer, after completing an interview, selects the next patient exiting the clinical consultation. We demonstrate mathematically that this method yields a biased sample: patients who spend a longer time with the clinician are overrepresented. This bias can be removed by selecting the next patient who enters, rather than exits, the consultation room. We show that this sampling method is operationally more efficient than alternative methods (systematic and simple random sampling) in most primary health care settings.Conclusion: Under the assumption that the order in which patients enter the consultation room is unrelated to the length of time spent with the clinician and the interviewer, selecting the next patient entering the consultation room tends to be the operationally most efficient unbiased sampling method for patient exit interviews. [ABSTRACT FROM AUTHOR]

Background: Decision makers are increasingly tasked with reducing health care costs, but the public may be mistrustful of these efforts. Public deliberation helps gather input on these types of issues by convening a group of diverse individuals to learn about and discuss values-based dilemmas.Objective: To explore public perceptions of health care costs and how they intersect with medical mistrust.Design and Participants: This mixed-methods study analyzed data from a randomized controlled trial including four public deliberation groups (n = 96) and a control group (n = 348) comprising English-speaking adults aged 18 years and older. Data were collected in 2012 in four U.S. regions.Approach: We used data from four survey items to compare attitude shifts about costs among participants in deliberation groups to participants in the control group. We qualitatively analyzed deliberation transcripts to identify themes related to attitude shifts and to provide context for quantitative results about attitude shifts.Key Results: Deliberation participants were significantly more likely than control group participants to agree that doctors and patients should consider cost when making treatment decisions (β = 0.59; p < 0.01) and that people should consider the effect on group premiums when making treatment decisions (β = 0.48; p < 0.01). Qualitatively, participants mistrusted the health care system's profit motives (e.g., that systems prioritize making money over patient needs); however, after grappling with patient/doctor autonomy and learning about and examining their own views related to costs during the process of deliberation, they largely concluded that payers have the right to set some boundaries to curb costs.Conclusions: Individuals who are informed about costs may be receptive to boundaries that reduce societal health care costs, despite their mistrust of the health care system's profit motives, especially if decision makers communicate their rationale in a transparent manner. Future work should aim to develop transparent policies and practices that earn public trust. [ABSTRACT FROM AUTHOR]

ObjectiveSurveys often ask respondents to assess discrimination in health care. Yet, patients’ responses to one type of widely used measure of discrimination (single-item, personally mediated) tend to reveal prevalence rates lower than observational studies would suggest. This study examines the meaning behind respondents’ closed-ended self-reports on this specific type of measure, paying special attention to the frameworks and references used within the medical setting. DesignTwenty-nine respondents participated in this study. They were asked the widely used question: ‘Within the past 12 months, when seeking health care do you feel your experiences were worse than, the same as, or better than people of other races?’ We then conducted qualitative interviews focusing on their chosen response and past experiences. Descriptive analyses focus on both the quantitative and qualitative data, including a comparison of conveyed perceived discrimination according to the different sources of data. ResultsTo identify discrimination, respondents drew upon observations of dynamics in the waiting room or the health providers’ communication style. Our respondents were frequently ambivalent and uncertain about how their personal treatment in health care compared to people of other races. When participants were unable to make observable comparisons, they tended to assume equal treatment and report ‘same as’ in the close-ended reports. ConclusionRespondents’ responses to single-item, closed-ended questions may be influenced by characteristics specific to the health care realm. An emphasis on privacy and assumptions about the health care field (both authority and benevolence of providers) may limit opportunities for comparison and result in assumptions of racial parity in treatment. [ABSTRACT FROM PUBLISHER]

Aims Screening and brief intervention for harmful substance use in medical settings is being promoted heavily in the United States. To justify service provision fiscally, the field needs accurate estimates of the number and type of staff required to provide services, and thus the time taken to perform activities used to deliver services. This study analyzed the time spent in activities for the component services of the substance misuse Screening, Brief Intervention and Referral to Treatment (SBIRT) program implemented in emergency departments, in-patient units and ambulatory clinics. Design Observers timed activities according to 18 distinct codes among SBIRT practitioners. Setting Twenty-six US sites within four grantees. Participants Five hundred and one practitioner-patient interactions; 63 SBIRT practitioners. Measurements Timing of practitioner activities. Interventions Delivery of component services of SBIRT. Findings The mean (standard error) time to deliver services was 1:19 (0:06) for a pre-screen ( n = 210), 4:28 (0:24) for a screen ( n = 97) and 6:51 (0:38) for a brief intervention ( n = 66). Estimates of service duration varied by setting. Overall, practitioners spent 40% of their time supporting SBIRT delivery to patients and 13% of their time delivering services. Conclusions In the United States, support activities (e.g. reviewing the patient's chart, locating the patient, writing case-notes) for substance abuse Screening, Brief Intervention and Referral to Treatment require more staff time than delivery of services. Support time for screens and brief interventions in the emergency department/trauma setting was high compared with the out-patient setting. [ABSTRACT FROM AUTHOR]

Aims To conduct a cost-effectiveness analysis (CEA) comparing the delivery of brief intervention (BI) with brief treatment (BT) within Screening, Brief Intervention and Referral to Treatment (SBIRT) programs. Design Quasi-experimental differences in observed baseline characteristics between BI and BT patients were adjusted using propensity score techniques. Incremental comparison of costs and health outcomes associated with BI and BT. Setting Health-care settings in four US states participating in Substance Abuse and Mental Health Services Administration SBIRT grant programs. Participants Ninety patients who received BT and 878 who received BI. Measurements Per-patient cost of SBIRT, patient demographics and six measures of substance use: proportion using alcohol, proportion using alcohol to intoxication, days of alcohol use, days of alcohol use to intoxication, proportion using drugs and days using drugs. Findings BI and BT were associated with better outcomes. The cost of SBIRT was significantly higher for BT patients ($75.54 versus 16.32, 95% confidence interval, P < 0.01). BT would be cost-effective if the decision-maker had a willingness to pay of $8.90 for a 1 percentage point reduction in the probability of using any alcohol. For the other five outcomes, BT was less effective and more costly, and BI would be a better use of resources. Conclusions It might be cost-effective to offer brief treatment if the goal is to abstain from alcohol. However, the higher effectiveness of brief treatment for this outcome is associated with considerable uncertainty and, because both brief intervention and brief treatment improve all outcomes, brief treatment does not appear to be a good use of resources. [ABSTRACT FROM AUTHOR]

Background: The healthcare system is ill-equipped to meet the needs of adults on the autism spectrum.Objective: Our goal was to use a community-based participatory research (CBPR) approach to develop and evaluate tools to facilitate the primary healthcare of autistic adults.Design: Toolkit development included cognitive interviewing and test-retest reliability studies. Evaluation consisted of a mixed-methods, single-arm pre/post-intervention comparison.Participants: A total of 259 autistic adults and 51 primary care providers (PCPs) residing in the United States.Interventions: The AASPIRE Healthcare toolkit includes the Autism Healthcare Accommodations Tool (AHAT)-a tool that allows patients to create a personalized accommodations report for their PCP-and general healthcare- and autism-related information, worksheets, checklists, and resources for patients and healthcare providers.Main Measures: Satisfaction with patient-provider communication, healthcare self-efficacy, barriers to healthcare, and satisfaction with the toolkit's usability and utility; responses to open-ended questions.Key Results: Preliminary testing of the AHAT demonstrated strong content validity and adequate test-retest stability. Almost all patient participants (>94 %) felt that the AHAT and the toolkit were easy to use, important, and useful. In pre/post-intervention comparisons, the mean number of barriers decreased (from 4.07 to 2.82, p < 0.0001), healthcare self-efficacy increased (from 37.9 to 39.4, p = 0.02), and satisfaction with PCP communication improved (from 30.9 to 32.6, p = 0.03). Patients stated that the toolkit helped clarify their needs, enabled them to self-advocate and prepare for visits more effectively, and positively influenced provider behavior. Most of the PCPs surveyed read the AHAT (97 %), rated it as moderately or very useful (82 %), and would recommend it to other patients (87 %).Conclusions: The CBPR process resulted in a reliable healthcare accommodation tool and a highly accessible healthcare toolkit. Patients and providers indicated that the tools positively impacted healthcare interactions. The toolkit has the potential to reduce barriers to healthcare and improve healthcare self-efficacy and patient-provider communication. [ABSTRACT FROM AUTHOR]

Background: Despite numerous options for treating back pain and the increasing healthcare resources devoted to this problem, the prevalence and impact of back pain-related disability has not improved. It is now recognized that psychosocial factors, as well as physical factors, are important predictors of poor outcomes for back pain. A promising new approach that matches treatments to the physical and psychosocial obstacles to recovery, the STarT Back risk stratification approach, improved patients' physical function while reducing costs of care in the United Kingdom (UK). This trial evaluates implementation of this strategy in a United States (US) healthcare setting.Methods: Six large primary care clinics in an integrated healthcare system in Washington State were block-randomized, three to receive an intensive quality improvement intervention for back pain and three to serve as controls for secular trends. The intervention included 6 one-hour training sessions for physicians, 5 days of training for physical therapists, individualized and group coaching of clinicians, and integration of the STarT Back tool into the electronic health record. This prognostic tool uses 9 questions to categorize patients at low, medium or high risk of persistent disabling pain with recommendations about evidence-based treatment options appropriate for each subgroup. Patients at least 18 years of age, receiving primary care for non-specific low back pain, were invited to provide data 1-3 weeks after their primary care visit and follow-up data 2 months and 6 months (primary endpoint) later. The primary outcomes are back-related physical function and pain severity. Using an intention to treat approach, intervention effects on patient outcomes will be estimated by comparing mean changes at the 2 and 6 month follow-up between the pre- and post-implementation periods. The inclusion of control clinics permits adjustment for secular trends. Differences in change scores by intervention group and time period will be estimated using linear mixed models with random effects. Secondary outcomes include healthcare utilization and adherence to clinical guidelines.Discussion: This trial will provide the first randomized trial evidence of the clinical effectiveness of implementing risk stratification with matched treatment options for low back pain in a United States health care delivery system.Trial Registration: NCT02286141. Registered November 5, 2014. [ABSTRACT FROM AUTHOR]

Background Systemic Lupus Erythematosus (lupus) is a chronic autoimmune disease that can impact any organ system and result in life-threatening complications. African-Americans are at increased risk for morbidity and mortality from lupus. Self-management programs have demonstrated significant improvements in health distress, self-reported global health, and activity limitation among people with lupus. Despite benefits, arthritis self-management education has reached only a limited number of people. Self-selection of program could improve such trends. The aim of the current study is to test a novel intervention to improve quality of life, decrease indicators of depression, and reduce perceived and biological indicators of stress in African-American lupus patients in South Carolina. Methods/design: In a three armed randomized, wait list controlled trial, we will evaluate the effectiveness of a patient-centered 'a-la-carte' approach that offers subjects a variety of modes of interaction from which they can choose as many or few as they wish, compared to a 'set menu' approach and usual care. This unique 'a-la-carte' self-management program will be offered to 50 African-American lupus patients participating in a longitudinal observational web-based SLE Database at the Medical University of South Carolina. Each individualized intervention plan will include 1-4 options, including a mail-delivered arthritis kit, addition and access to an online message board, participation in a support group, and enrollment in a local self-management program. A 'set menu' control group of 50 lupus patients will be offered a standardized chronic disease self-management program only, and a control group of 50 lupus patients will receive usual care. Outcomes will include changes in (a) health behaviors, (b) health status, (c) health care utilization, and (d) biological markers (urinary catecholamines). Discussion: Such a culturally sensitive educational intervention which includes self-selection of program components has the potential to improve disparate trends in quality of life, disease activity, depression, and stress among African-American lupus patients, as better outcomes have been documented when participants are able to choose/dictate the content and/or pace of the respective treatment/intervention program. Since there is currently no "gold standard" self-management program specifically for lupus, this project may have a considerable impact on future research and policy decisions. [ABSTRACT FROM AUTHOR]

Objective: Limited consumer use of health care report cards may be due to the large amount of information presented in report cards, which can be difficult to understand. These limitations may be overcome with summary measures. Our objective was to evaluate consumer response to summary measures in the setting of nursing homes.Data Sources/study Setting: 2005-2010 nursing home Minimum Data Set and Online Survey, Certification and Reporting (OSCAR) datasets.Study Design: In December 2008, Medicare converted its nursing home report card to summary or star ratings. We test whether there was a change in consumer demand for nursing homes related to the nursing home's star rating after the information was released.Principal Findings: The star rating system was associated with a significant change in consumer demand for low- and high-scoring facilities. After the star-based rating system was released, 1-star facilities typically lost 8 percent of their market share and 5-star facilities gained over 6 percent of their market share.Conclusions: The nursing home star rating system significantly affected consumer demand for high- and low-rated nursing homes. These results support the use of summary measures in report cards. [ABSTRACT FROM AUTHOR]

The national cost of suicides and suicide attempts in the United States in 2013 was $58.4 billion based on reported numbers alone. Lost productivity (termed indirect costs) represents most (97.1%) of this cost. Adjustment for under-reporting increased the total cost to $93.5 billion or $298 per capita, 2.1-2.8 times that of previous studies. Previous research suggests that improved continuity of care would likely reduce the number of subsequent suicidal attempts following a previous nonfatal attempt. We estimate a highly favorable benefit-cost ratio of 6 to 1 for investments in additional medical, counseling, and linkage services for such patients. [ABSTRACT FROM AUTHOR]

Background: Many Veterans treated within the VA Healthcare System (VA) are also enrolled in fee-for-service (FFS) Medicare and receive treatment outside the VA. Prior research has not accounted for the multiple ways that Veterans receive services across healthcare systems.Objective: We aimed to establish a typology of VA and Medicare utilization among dually enrolled Veterans with type 2 diabetes.Design: This was a retrospective cohort.Participants: 316,775 community-dwelling Veterans age ≥ 65 years with type 2 diabetes who were dually enrolled in the VA and FFS Medicare in 2008-2009.Methods: Using latent class analysis, we identified classes of Veterans based upon their probability of using VA and Medicare diabetes care services, including patient visits, laboratory tests, glucose test strips, and medications. We compared the amount of healthcare use between classes and identified factors associated with class membership using multinomial regression.Key Results: We identified four distinct latent classes: class 1 (53.9%) had high probabilities of VA use and low probabilities of Medicare use; classes 2 (17.2%), 3 (21.8%), and 4 (7.0%) had high probabilities of VA and Medicare use, but differed in their Medicare services used. For example, Veterans in class 3 received test strips exclusively through Medicare, while Veterans in class 4 were reliant on Medicare for medications. Living ≥ 40 miles from a VA predicted membership in classes 3 (OR 1.1, CI 1.06-1.15) and 4 (OR 1.11, CI 1.04-1.18), while Medicaid eligibility predicted membership in class 4 (OR 4.30, CI 4.10-4.51).Conclusions: Veterans with diabetes can be grouped into four distinct classes of dual health system use, representing a novel way to characterize how patients use multiple services across healthcare systems. This classification has applications for identifying patients facing differential risk from care fragmentation. [ABSTRACT FROM AUTHOR]

Background: Health information technology (HIT) could improve care coordination by providing clinicians remote access to information, improving legibility, and allowing asynchronous communication, among other mechanisms. We sought to determine, from a clinician perspective, how care is coordinated and to what extent HIT is involved when transitioning patients between emergency departments, acute care hospitals, skilled nursing facilities, and home health agencies in settings across the United States.Methods: We performed a qualitative study with clinicians and information technology professionals from six regions of the U.S. which were chosen as national leaders in HIT. We analyzed data through a two person consensus approach, assigning responses to each of nine care coordination activities. We also conducted a literature review of MEDLINE®, CINAHL®, and Embase, analyzing results of studies that examined interventions to improve information transfer during transitions of care.Results: We enrolled 29 respondents from 17 organizations and conducted six focus groups. Respondents reported how HIT is currently used for care coordination activities. HIT is currently used to monitor patients and to align systems-level resources with population needs. However, we identified multiple areas where the lack of interoperability leads to inefficient processes and missing data. Additionally, the literature review identified ten intervention studies that address information transfer, seven of which employed HIT and three of which utilized other communication methods such as telephone calls, faxed records, and nurse case management.Conclusions: Significant care coordination gaps exist due to the lack of interoperability across the United States. We must design, evaluate, and incentivize the use of HIT for care coordination. We should focus on the domains where we found the largest gaps: information transfer, systems to monitor patients, tools to support patients' self-management goals, and tools to link patients and their caregivers with community resources. [ABSTRACT FROM AUTHOR]