Intimate Partner Violence, Economic Insecurity, and Health Outcomes Among American Indian and Alaska Native Men and Women: Findings From a National Sample.

Limited data are available on experiences of intimate partner violence (IPV) and sexual violence (SV) and health outcomes among American Indian and Alaska Native (AIAN) populations. This study explores the relationship between IPV and SV, food insecurity, housing insecurity, healthcare access, and self-reported physical and mental health status in a nationally representative sample of AIAN adults (N = 3,634). IPV and SV were associated with poorer physical and mental health at the bivariate level, but not in multivariate analyses. Economic inequalities are a salient predictor of health and may be compounded by demographic and geographic contexts.

Estimating and Comparing Health and Financial Risk Protection Outcomes in Economic Evaluations.

OBJECTIVES: Improving health and financial risk protection (FRP, the prevention of medical impoverishment) and their distributions is a major objective of national health systems. Explicitly describing FRP and disaggregated (eg, across socioeconomic groups) impact of health interventions in economic evaluations can provide decision makers with a broader set of health and financial outcomes to compare and prioritize interventions against each other. METHODS: We propose methods to synthesize such a broader set of outcomes by estimating and comparing the distributions in both health and FRP benefits procured by health interventions. We build on benefit-cost analysis frameworks and utility-based models, and we illustrate our methods with the case study of universal public finance (financing by government regardless of whom an intervention is targeting) of disease treatment in a low- and middle-income country setting. RESULTS: Two key findings seem to emerge: FRP is critical when diseases are less lethal (eg, case fatality rates <1% or so), and quantitative valuation of inequality aversion across income groups matters greatly. We recommend the use of numerous sensitivity analyses and that all distributional health and financial outcomes be first presented in a disaggregated form (before potential subsequent aggregation). CONCLUSIONS: Estimation approaches such as the one we propose provide explicit disaggregated considerations of equity, FRP, and poverty impact for the development of health sector policies, with high relevance for population-based preventive measures.

Time Costs and Out-of-Pocket Costs in Patients With Chronic Hepatitis C in a Publicly Funded Health System.

OBJECTIVES: Chronic hepatitis C (CHC) infection affects more than 70 million people worldwide and imposes considerable health and economic burdens on patients and society. This study estimated 2 understudied components of the economic burden, patient out-of-pocket (OOP) costs and time costs, in patients with CHC in a tertiary hospital clinic setting and a community clinic setting. METHODS: This was a multicenter, cross-sectional study with hospital-based (n = 174) and community-based (n = 101) cohorts. We used a standardized instrument to collect healthcare resource use, time, and OOP costs. OOP costs included patient-borne costs for medical services, nonprescription drugs, and nonmedical expenses related to healthcare visits. Patient and caregiver time costs were estimated using an hourly wage value derived from patient-reported employment income and, where missing, derived from the Canadian census. Sensitivity analysis explored alternative methods of valuing time. Costs were reported in 2020 Canadian dollars. RESULTS: The mean 3-month OOP cost was $55 (95% confidence interval [CI] $21-$89) and $299 (95% CI $170-$427) for the community and hospital cohorts, respectively. The mean 3-month patient time cost was $743 (95% CI $485-$1002) (community) and $465 (95% CI $248-$682) (hospital). The mean 3-month caregiver time cost was $31 (95% CI $0-$63) (community) and $277 (95% CI $174-$380) (hospital). Patients with decompensated cirrhosis bore the highest costs. CONCLUSIONS: OOP costs and patient and caregiver time costs represent a considerable economic burden to patient with CHC, equivalent to 14% and 21% of the reported total 3-month income for the hospital-based and community-based cohorts, respectively.

What Is Value in Health and Healthcare? A Systematic Literature Review of Value Assessment Frameworks.

OBJECTIVES: This study aimed to investigate how value is defined and measured in existing value assessment frameworks (VAFs) in healthcare. METHODS: We searched PubMed, Embase, the Cochrane Library, and Centre for Reviews and Dissemination from 2008 to 2019. We also performed backward citation chaining of included studies and previously published systematic reviews. Studies reporting the development of a VAF in healthcare were included. For each included framework, we extracted and compared the context, target users, intended use, methods used to identify value attributes, description of the attributes, and attribute scoring approaches. RESULTS: Of the 8151 articles screened, 57 VAFs were included. The value attributes included in 55 VAFs were grouped into 9 categories: health benefits (n = 53, 96%), affordability (n = 45, 82%), societal impact (n = 42, 76%), burden of disease (n = 36, 65%), quality of evidence (n = 32, 58%), cost-effectiveness (n = 31, 56%), ethics and equity (n = 27, 49%), unmet needs (n = 21, 38%), and innovation (n = 15, 27%). The remaining 2 VAFs used broad attributes or user-defined attributes. Literature review was the main approach to identify value attributes in 36 VAFs. Patient or public was engaged through the development of only 11 VAFs. Weighting has been used to score 29 VAFs, of which 19 used the methods of multicriteria decision analysis. CONCLUSIONS: There are substantial variations in defining and measuring value. A noticeable weakness of existing VAFs is that patient or public engagement was generally very limited or missing in framework development process. Existing VAFs tend to aggregate multiple value attributes into a single index for decision making.

Estimating the cost and value of functional changes in communication ability following telepractice treatment for aphasia.

CONTEXT: Aphasia is a post-stroke condition that can dramatically impact a person with aphasia's (PWA) communication abilities. To date, few if any studies have considered the cost and cost-effectiveness of functional change in aphasia nor considered measures of patient's value for aphasia treatment. OBJECTIVE: To assess the cost, cost-effectiveness, and perceived value associated with improved functional communication in individuals receiving telerehabilitation treatment for aphasia. DESIGN: Twenty PWA completed between 5 and 12 telehealth rehabilitation sessions of 45-60 minutes within a 6-week time frame using a Language-Oriented Treatment (LOT) designed to address a range of language issues among individuals with aphasia. National Outcomes Measures (NOMS) comprehension and verbal expression and the ASHA Quality of Communication Life (QCL) were completed prior to and at the completion of rehabilitation to obtain baseline and treatment measures. RESULTS: Age, education, and race are significantly correlated with improvement in the NOMS verbal expression. African Americans (OR = 2.0917) are twice as likely as Whites to experience improvement after treatment. The likelihood of improvement also increases with each additional year of education (OR = 1.002) but decrease with age (OR = 0.9463). A total of 15 PWA showed improvement in NOMS comprehension and nine patients showed improvement in NOMS verbal expression. Improving patients attended between five and 12 treatment sessions. The average cost of improvement in NOMS comprehension was $1,152 per patient and NOMS verbal expression was $1,128 per patient with individual treatment costs varying between $540 and $1,296. However, on average, the monetary equivalent in patient's improved QCL was between $1,790.39 to $3,912,54-far exceeding the financial cost of treatment. CONCLUSIONS: When measuring the functional improvement of patients with aphasia, patient's quality of communication life received from treatment exceeded financial cost of services provided.

Differences in health outcomes for high-need high-cost patients across high-income countries.

OBJECTIVE: This study explores variations in outcomes of care for two types of patient personas-an older frail person recovering from a hip fracture and a multimorbid older patient with congestive heart failure (CHF) and diabetes. DATA SOURCES: We used individual-level patient data from 11 health systems. STUDY DESIGN: We compared inpatient mortality, mortality, and readmission rates at 30, 90, and 365 days. For the hip fracture persona, we also calculated time to surgery. Outcomes were standardized by age and sex. DATA COLLECTION/EXTRACTION METHODS: Data was compiled by the International Collaborative on Costs, Outcomes and Needs in Care across 11 countries for the years 2016-2017 (or nearest): Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States. PRINCIPAL FINDINGS: The hip sample across ranged from 1859 patients in Aragon, Spain, to 42,849 in France. Mean age ranged from 81.2 in Switzerland to 84.7 in Australia, and the majority of hip patients across countries were female. The congestive heart failure (CHF) sample ranged from 742 patients in England to 21,803 in the United States. Mean age ranged from 77.2 in the United States to 80.3 in Sweden, and the majority of CHF patients were males. Average in-hospital mortality across countries was 4.1%. for the hip persona and 6.3% for the CHF persona. At the year mark, the mean mortality across all countries was 25.3% for the hip persona and 32.7% for CHF persona. Across both patient types, England reported the highest mortality at 1 year followed by the United States. Readmission rates for all periods were higher for the CHF persona than the hip persona. At 30 days, the average readmission rate for the hip persona was 13.8% and 27.6% for the CHF persona. CONCLUSION: Across 11 countries, there are meaningful differences in health system outcomes for two types of patients.

Health service use and health outcomes among international migrant workers compared with non-migrant workers: A systematic review and meta-analysis.

OBJECTIVES: The review aimed to synthesise recent evidence on health service use and health outcomes among international migrant workers, compared with non-migrant workers. METHODS: A search was carried out in MEDLINE, PubMed, Embase, and CINAHL for studies published between Jan 1, 2010, and Feb 29, 2020. Included outcomes were: occupational health service use, fatal occupational injury, HIV, and depression. Two authors independently screened records, extracted data, assessed risk of bias and judged quality of evidence. We meta-analysed estimates and conducted subgroup analyses by sex, geographical origin, geographical destination, and regularity of migration. RESULTS: Twenty-one studies were included comprising >17 million participants in 16 countries. Most studies investigated regular migrant workers in high-income destination countries. Compared with non-migrant workers, migrant workers were less likely to use health services (relative risk 0·55, 95% confidence interval 0·41 to 0·73, 4 studies, 3,804,131 participants, I2 100%, low quality of evidence). They more commonly had occupational injuries (1·27, 95% confidence interval 1·11 to 1·45, 7 studies, 17,100,626 participants, I2 96%, low quality of evidence). Relative risks differed by geographical origin and/or destination. There is uncertainty (very low quality of evidence) about occupational health service use (0 studies), fatal occupational injuries (5 studies, N = 14,210,820), HIV (3 studies, N = 13,775), and depression (2 studies, N = 7,512). CONCLUSIONS: Migrant workers may be less likely than non-migrant workers to use health services and more likely to have occupational injuries. More research is required on migrant workers from and in low- and middle-income countries, across migration stages, migrating irregularly, and in the informal economy.

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

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

Continuation of systemic treatments and outcomes for patients with chronic graft-versus-host disease in the USA.

Aim: To compare secondary systemic treatment (SST) continuation and associated resource use and costs in chronic graft-versus-host disease (cGvHD) patients in the USA. Materials & methods: This was a retrospective study using Truven Health MarketScan database (2009-2016). cGvHD patients were classified as continuers or discontinuers if treated with SST for ≥180 days without or with a treatment gap (≥45 days), respectively. Results: Among 464 cGvHD patients with SST, mTOR inhibitors, extracorporeal photopheresis and imatinib were most frequently used. A total of 172 patients were SST continuers and 292 were discontinuers. Extracorporeal photopheresis treated patients were the highest continuers, followed by imatinib and mTOR inhibitors. SST continuers had lower monthly hospitalization costs versus discontinuers. Conclusion: This real-world analysis demonstrates high SST continuation rates in cGvHD patients are associated with lower resource utilization and cost.

Six-year follow-up study of residential displacement and health outcomes following the 2011 Japan Earthquake and Tsunami.

Studies examining the long-term health consequences of residential displacement following large-scale disasters remain sparse. Following the 2011 Japan Earthquake and Tsunami, victims who lost their homes were resettled by two primary means: 1) group relocation to public housing or 2) individual relocation, in which victims moved into public housing by lottery or arranged for their own accommodation. Little is known about how the specific method of residential relocation affects survivors' health. We examined the association between residential relocation and long-term changes in mental and physical well-being. Our baseline assessment predated the disaster by 7 mo. Two follow-up surveys were conducted ∼2.5 y and 5.5 y after the disaster to ascertain the long-term association between housing arrangement and health status. Group relocation was associated with increased body mass index and depressive symptoms at 2.5-y follow-up but was no longer significantly associated with these outcomes at 5.5-y follow-up. Individual relocation at each follow-up survey was associated with lower instrumental activities of daily living as well as higher risk of cognitive impairment. Our findings underscore the potential complexity of long-term outcomes associated with residential displacement, indicating both positive and negative impacts on mental versus physical dimensions of health.

Treatment of Chronic Hepatitis C in Young Children Reduces Adverse Outcomes and Is Cost-Effective Compared with Deferring Treatment to Adulthood.

OBJECTIVE: To evaluate the cost-effectiveness of treating young children with chronic hepatitis C virus (HCV) with new direct-acting antivirals. STUDY DESIGN: A state-transition model of chronic HCV was developed to conduct a cost-effectiveness analysis comparing treatment at age 6 years vs delaying treatment until age 18 years. Model inputs were derived from recently conducted systematic reviews, published literature, and government statistics. Medical care costs were obtained from linked population level laboratory and administrative data (Ontario, Canada). Outcomes are expressed in expected quality-adjusted life-years and costs (CAD$). Analysis included a base-case to estimate the expected value and one-way and probabilistic sensitivity analyses to evaluate the impact of uncertainty of the model inputs. RESULTS: After 20 years, treating 10 000 children early would prevent 330 cases of cirrhosis, 18 cases of hepatocellular carcinoma, and 48 liver-related deaths. The incremental cost-effectiveness ratio of early treatment compared to delayed treatment was approximately $12 690/quality-adjusted life-years gained and considered cost-effective. Model results were robust to variation in fibrosis progression rates, disease state-based costs, treatment costs, and utilities. CONCLUSIONS: Delaying treatment until age 18 years results in an increased lifetime risk of late-stage liver complications. Early treatment in children is cost effective. Our work supports clinical and health policies that broaden HCV treatment access to young children.

Pharmacological Acromegaly Treatment: Cost-Utility and Value of Information Analysis.

OBJECTIVES: To conduct a cost-utility analysis comparing drug strategies involving octreotide, lanreotide, pasireotide, and pegvisomant for the treatment of patients with acromegaly who have failed surgery, from a Brazilian public payer perspective. METHODS: A probabilistic cohort Markov model was developed. One-year cycles were employed. The patients started at 45 years of age and were followed lifelong. Costs, efficacy, and quality of life parameters were retrieved from the literature. A discount rate (5%) was applied to both costs and efficacy. The results were reported as costs per quality-adjusted life year (QALY), and incremental cost-effectiveness ratios (ICERs) were calculated when applicable. Scenario analyses considered alternative dosages, discount rate, tax exemption, and continued use of treatment despite lack of response. Value of information (VOI) analysis was conducted to explore uncertainty and to estimate the costs to be spent in future research. RESULTS: Only lanreotide showed an ICER reasonable for having its use considered in clinical practice (R$ 112,138/US$ 28,389 per QALY compared to no treatment). Scenario analyses corroborated the base-case result. VOI analysis showed that much uncertainty surrounds the parameters, and future clinical research should cost less than R$ 43,230,000/US$ 10,944,304 per year. VOI also showed that almost all uncertainty that precludes an optimal strategy choice involves quality of life. CONCLUSIONS: With current information, the only strategy that can be considered cost-effective in Brazil is lanreotide treatment. No second-line treatment is recommended. Significant uncertainty of parameters impairs optimal decision-making, and this conclusion can be generalized to other countries. Future research should focus on acquiring utility data.

The use of genomic tests in patients with breast cancer in Lombardy: a successful healthcare model.

BACKGROUND: The accurate identification of patients with early breast cancer (eBC) suitable for adjuvant chemotherapy is essential in order to avoid overtreatment or undertreatment. For eBC patients with luminal (HR+/HER2-) intermediate risk disease, multigene assays (MGAs) have been convincingly reported to be useful in guiding treatment decisions. The most recently published data and recommendations from main International Guidelines and Heath Technology Assessment reports confirmed the benefit of MGAs in guiding treatment decisions for clinically intermediate risk patients, and led several countries to test reimbursement. PURPOSE: This article describes the process followed by the Lombardy region in Italy regarding the reimbursement of MGAs for patients with eBC, based on the results of a prospective clinical trial. RESULTS: The study shows that the use of Oncotype DX allowed avoiding the use of unnecessary adjuvant chemotherapy in 50% of patients for whom chemotherapy was initially recommended according to traditional clinical practice. On the basis of these data, a group of oncologists in collaboration with a pathologist regional board formally requested authorization for MGA reimbursement in Lombardy. Acknowledging the strategic importance of the proposal, the Lombardy region approved the reimbursement of MGAs for resident patients with luminal eBC at intermediate clinical risk. It can be assumed that about 1500 patients will be tested in Lombardy per year and this should allow the Regional Health Service to save more than 750 chemotherapies/year. CONCLUSION: The introduction of MGAs in the clinical evaluation of patients with luminal eBC with intermediate risk is economically sustainable and contributes towards preserving quality of life of eligible women.

Health outcomes and cost-effectiveness of diversion programs for low-level drug offenders: A model-based analysis.

BACKGROUND: Cycles of incarceration, drug abuse, and poverty undermine ongoing public health efforts to reduce overdose deaths and the spread of infectious disease in vulnerable populations. Jail diversion programs aim to divert low-level drug offenders toward community care resources, avoiding criminal justice costs and disruptions in treatment for HIV, hepatitis C virus (HCV), and drug abuse. We sought to assess the health benefits and cost-effectiveness of a jail diversion program for low-level drug offenders. METHODS AND FINDINGS: We developed a microsimulation model, calibrated to King County, Washington, that captured the spread of HIV and HCV infections and incarceration and treatment systems as well as preexisting interventions such as needle and syringe programs and opiate agonist therapy. We considered an adult population of people who inject drugs (PWID), people who use drugs but do not inject (PWUD), men who have sex with men, and lower-risk heterosexuals. We projected discounted lifetime costs and quality-adjusted life years (QALYs) over a 10-year time horizon with and without a jail diversion program and calculated resulting incremental cost-effectiveness ratios (ICERs) from the health system and societal perspectives. We also tracked HIV and HCV infections, overdose deaths, and jail population size. Over 10 years, the program was estimated to reduce HIV and HCV incidence by 3.4% (95% CI 2.7%-4.0%) and 3.3% (95% CI 3.1%-3.4%), respectively, overdose deaths among PWID by 10.0% (95% CI 9.8%-10.8%), and jail population size by 6.3% (95% CI 5.9%-6.7%). When considering healthcare costs only, the program cost $25,500/QALY gained (95% CI $12,600-$48,600). Including savings from reduced incarceration (societal perspective) improved the ICER to $6,200/QALY gained (95% CI, cost-saving $24,300). Sensitivity analysis indicated that cost-effectiveness depends on diversion program participants accessing community programs such as needle and syringe programs, treatment for substance use disorder, and HIV and HCV treatment, as well as diversion program cost. A limitation of the analysis is data availability, as fewer data are available for diversion programs than for more established interventions aimed at people with substance use disorder. Additionally, like any model of a complex system, our model relies on simplifying assumptions: For example, we simplified pathways in the healthcare and criminal justice systems, modeled an average efficacy for substance use disorder treatment, and did not include costs associated with homelessness, unemployment, and breakdown in family structure. CONCLUSIONS: We found that diversion programs for low-level drug offenders are likely to be cost-effective, generating savings in the criminal justice system while only moderately increasing healthcare costs. Such programs can reduce incarceration and its associated costs, and also avert overdose deaths and improve quality of life for PWID, PWUD, and the broader population (through reduced HIV and HCV transmission).

Cost-Utility Analysis of Direct-Acting Antivirals for Treatment of Chronic Hepatitis C Genotype 1 and 6 in Vietnam.

OBJECTIVE: Very few cost-utility analyses have either evaluated direct-acting antivirals (DAAs) on hepatitis C virus (HCV) genotype 6 patients or undertaken societal perspective. Recently, DAAs have been introduced into the Vietnamese health insurance drug list for chronic hepatitis C (CHC) treatment without empirical cost-effectiveness evidence. This study was conducted to generate these data on DAAs among CHC patients with genotypes 1 and 6 in Vietnam. METHODS: A hybrid decision-tree and Markov model was employed to compare costs and quality-adjusted life-years (QALYs) of available DAAs, including (1) sofosbuvir/ledipasvir, (2) sofosbuvir/velpatasvir, and (3) sofosbuvir plus daclatasvir, with pegylated-interferon plus ribavirin (PR). Primary data collection was conducted in Vietnam to identify costs and utility values. Incremental cost-effectiveness ratios were estimated from societal and payer perspectives. Uncertainty and scenario analyses and value of information analyses were performed. RESULTS: All DAAs were cost-saving as compared with PR in CHC patients with genotypes 1 and 6 in Vietnam, and sofosbuvir/velpatasvir was the most cost-saving regimen, from both societal and payer perspectives. From the societal perspective, DAAs were associated with the increment of quality-adjusted life-years by 1.33 to 1.35 and decrement of costs by $6519 to $7246. Uncertainty and scenario analyses confirmed the robustness of base-case results, whereas the value of information analyses suggested the need for further research on relative treatment efficacies among DAA regimens. CONCLUSIONS: Allocating resources for DAA treatment for HCV genotype 1 and 6 is surely a rewarding public health investment in Vietnam. It is recommended that the government rapidly scale up treatment and enable financial accessibility for HCV patients.

Identifying Outcome Measures for Migraine Value-Based Contracting Using the Delphi Method.

OBJECTIVE: To identify meaningful migraine outcome measures among key stakeholders to inform value-based contracts for migraine medications. BACKGROUND: Value-based contracts linking medication payments to predefined performance metrics aim to promote value through aligned incentives and shared risk between manufacturers and payers. The emergence of new and expensive pharmaceuticals for migraine presents an opportunity for value-based contract development. However, uncertainty remains around which outcomes are most meaningful to all migraine stakeholders. METHODS: This study utilized a Delphi survey to incorporate views from 82 stakeholders, including patients (n = 21), providers (n = 23), payers (n = 10), employers (n = 18), and pharmaceutical company representatives (n = 10). A list of 15 migraine-related outcomes was created from a literature review and subject matter expert consultation. Stakeholders reported on the value of these outcomes through a 5-point Likert scale and selection of their top 3 most meaningful outcomes. All participants except patients and employers also used a 5-point Likert scale to rate the feasibility of collecting each outcome measure. Consensus was defined as ≥75% agreement on the importance and feasibility of an outcome (Likert scores ≥4/5 or selection of an outcome as most meaningful). RESULTS: After 2 rounds, consensus was achieved for importance of 9 outcomes on the Likert scale. "Decrease in migraine frequency" reached 100% agreement (82/82), followed by "increased ability to resume normal activities" (96%, 79/82). When asked to choose the 3 most meaningful outcomes, stakeholders selected "decrease in migraine frequency" (88%, 72/82) followed by "decrease in migraine severity" (80%, 66/82). The 2 measures rated as most feasibly collected were "decrease in emergency department/urgent care visits" (95%, 40/42) and "decrease in migraine frequency" (90%, 38/42). There were statistically significant differences between non-patient and patient stakeholders in selection of "decrease in emergency department/urgent care visits" [20% (12/61) vs 0% (0/21), P = .031]; and employer and patient stakeholders in selection of "decrease in work days missed" [44% (8/18) vs 5% (1/21), P = .006] and "decrease in emergency department/urgent care visits" [22% (4/18) vs 0% (0/21), P = .037] as most meaningful outcomes. CONCLUSIONS: The measures "decrease in migraine frequency" followed by "decrease in migraine severity" were identified as top priority migraine outcome measures.

An Economic Analysis of the Implementation of Team-based Collaborative Care in Outpatient General Mental Health Clinics.

BACKGROUND: Collaborative Chronic Care Models represent an evidence-based way to structure care for chronic conditions, including mental health conditions. Few studies, however, have examined the cost implications of collaborative care for mental health. OBJECTIVE: We aimed to conduct an economic analysis of implementing collaborative care in 9 outpatient general mental health clinics. RESEARCH DESIGN: Analyses were derived from a stepped wedge hybrid implementation-effectiveness trial. We conducted cost-minimization analyses from the health system perspective, incorporating implementation costs, outpatient costs, and inpatient costs for the year before collaborative care implementation and the implementation year. We used a difference-in-differences approach and conducted 1-way sensitivity analyses to determine the robustness of results to variations ±15% in model parameters, along with probabilistic sensitivity analysis using Monte Carlo simulation. SUBJECTS: Our treatment group included 5507 patients who were initially engaged in care within 9 outpatient general mental health teams that underwent collaborative care implementation. We compared costs for this group to 45,981 control patients who received mental health treatment as usual at the same medical centers. RESULTS: Collaborative care implementation cost about $40 per patient and was associated with a significant decrease in inpatient costs and a nonsignificant increase in outpatient mental health costs. This implementation was associated with $78 in cost savings per patient. Monte Carlo simulation suggested that implementation was cost saving in 78% of iterations. CONCLUSIONS: Collaborative care implementation for mental health teams was associated with significant reductions in mental health hospitalizations, leading to substantial cost savings of about $1.70 for every dollar spent for implementation.

PARC report: health outcomes and value of personalized medicine interventions: impact on patient care.

The incorporation of personalized medicine interventions into routine healthcare constitutes an opportunity to improve patients' quality of life, as it empowers implementation of innovative, individualized clinical interventions that maximize efficacy and/or minimize the risk of adverse drug reactions. In order to ensure equal access to genomic testing for all patients, the costs associated with these interventions must be reimbursed by payers and insurance bodies. As such, it is of utmost importance to thoroughly evaluate these interventions both in terms of their clinical effectiveness and their economic cost. This article discusses the impact of personalized medicine interventions in terms of both health outcomes and value, which directly impacts on their pricing and reimbursement by the various national healthcare systems.