Examining alignment of community health teams' preferences for health, equity, and spending with state all-payer waiver priorities: A discrete choice experiment.

OBJECTIVE: The state of Vermont has a statewide waiver from the centers for medicare and medicaid services to allow all-payer Accountable Care Organizations (ACOs). The Vermont all-payer model (VAPM) waiver is layered upon previous reforms establishing regional community health teams (CHTs) and medical homes. The waiver is intended to incentivize healthcare value and quality and create alignment between health system payers, providers, and CHTs. The objective of this study was to examine CHT's trade-offs and preferences for health, equity, and spending and the alignment with VAPM priorities. DATA SOURCES/STUDY SETTING: Data were gathered from a survey and discrete choice experiment among CHT leadership and CHT team members of the 13 CHTs in Vermont. STUDY DESIGN: We used conditional logit models to model the choice as a function of its characteristics (attributes) and mixed logit models to analyze whether preferences for programs varied by persons and roles within CHTs. DATA COLLECTION/EXTRACTION METHODS: There were 60 respondents who completed the survey online with 14 choice tasks, with three program options in each task, for a total sample size of 2520. PRINCIPAL FINDINGS: We found that CHTs prioritized programs in the community health plan and those with quantitative evidence of effectiveness. They were less likely to choose either programs targeting racial and ethnic minorities or programs having a small effect on a large population. Preferences did not vary across individual or community attributes. Program priorities of the VAPM, especially healthcare spending, were not prioritized. CONCLUSIONS: The results suggest that the new VAPM does not automatically create system alignment: CHTs tended to prioritize local needs and voices. The statewide priorities are less important to CHTs, which have excellent internal alignment. This creates potential disconnection between state and community health goals. However, CHTs and the VAPM prioritize similar populations, indicating an opportunity to increase alignment by allowing flexible programs tailored to local needs. CHTs also prioritized programs with a strong evidence base, suggesting another potential avenue to create system alignment.

The effect of medical innovation on the cost-effectiveness of Covid 19-related policies in the United States using a SIR model.

BACKGROUND: During 2020-21, the United States used a multifaceted approach to control SARS-CoV-2 (Covid-19) and reduce mortality and morbidity. This included non-medical interventions (NMIs), aggressive vaccine development and deployment, and research into more effective approaches to medically treat Covid-19. Each approach had both costs and benefits. The objective of this study was to calculate the Incremental Cost Effectiveness Ratio (ICER) for three major Covid-19 policies: NMIs, vaccine development and deployment (Vaccines), and therapeutics and care improvements within the hospital setting (HTCI). METHODS: To simulate the number of QALYs lost per scenario, we developed a multi-risk Susceptible-Infected-Recovered (SIR) model where infection and fatality rates vary between regions. We use a two equation SIR model. The first equation represents changes in the number of infections and is a function of the susceptible population, the infection rate and the recovery rate. The second equation shows the changes in the susceptible population as people recover. Key costs included loss of economic productivity, reduced future earnings due to educational closures, inpatient spending and the cost of vaccine development. Benefits included reductions in Covid-19 related deaths, which were offset in some models by additional cancer deaths due to care delays. RESULTS: The largest cost is the reduction in economic output associated with NMI ($1.7 trillion); the second most significant cost is the educational shutdowns, with estimated reduced lifetime earnings of $523B. The total estimated cost of vaccine development is $55B. HTCI had the lowest cost per QALY gained vs "do nothing" with a cost of $2,089 per QALY gained. Vaccines cost $34,777 per QALY gained in isolation, while NMIs alone were dominated by other options. HTCI alone dominated most alternatives, except the combination of HTCI and Vaccines ($58,528 per QALY gained) and HTCI, Vaccines and NMIs ($3.4 m per QALY gained). CONCLUSIONS: HTCI was the most cost effective and was well justified under any standard cost effectiveness threshold. The cost per QALY gained for vaccine development, either alone or in concert with other approaches, is well within the standard for cost effectiveness. NMIs reduced deaths and saved QALYs, but the cost per QALY gained is well outside the usual accepted limits.

Cost Drivers of Elective Colon and Rectal Surgery: A Retrospective Cohort Analysis.

BACKGROUND: Colorectal surgery is expensive. Few studies have evaluated complications as an economic cost driver, and there is little evidence comparing multiple cost drivers of colorectal surgery to determine the most effective means of reducing total cost. OBJECTIVE: This study aimed to determine the effects of surgical techniques, use of enhanced recovery protocols, and presence or absence of complications on the total cost of hospitalization for elective colorectal surgery. DESIGN: A retrospective cohort analysis using data from 2011 to 2018 was performed. The primary end point was a mean cost per hospitalization. The cost was compared between patients who experienced minimally invasive versus open surgeries, enhanced recovery after surgery protocols versus not, and complications versus none. SETTINGS: This study was conducted at a university-affiliated teaching hospital in the Northeastern United States. PATIENTS: Adult patients who have undergone elective colorectal surgery were included. MAIN OUTCOME MEASURES: The primary outcome for this study was the mean cost per hospitalization calculated using inpatient cost based on the total cost of the episode of care. RESULTS: A total of 1039 patients met the criteria for inclusion. The average cost of all hospitalizations was $19,801. Multivariate analysis demonstrated that enhanced recovery protocols substantially lowered the cost of care by $6392 ( p = 0.001), whereas complications increased the cost of care by $16,780 per episode ( p < 0.001). When complications occurred, enhanced recovery protocols reduced the cost by $17,963 ( p = 0.010). LIMITATIONS: This retrospective cohort study performed at a single institution has inherent limitations, including confounding and selection bias. CONCLUSIONS: For elective colorectal surgery, complications are associated with significantly increased costs. Avoiding complications should be a priority to reduce costs. Enhanced recovery protocols are associated with significantly reduced costs. Surgeons should focus future research efforts on improving protocols and processes that decrease postoperative complications to improve patient outcomes and to reduce costs associated with elective colorectal hospitalizations. See Video Abstract at http://links.lww.com/DCR/B927 . FACTORES DE COSTO DE LA CIRUGA ELECTIVA DE COLON Y RECTO UN ANLISIS DE COHORTE RETROSPECTIVE: ANTECEDENTES:La cirugía colorrectal es costosa. Pocos estudios han examinado las complicaciones como un factor de costo económico, y hay poca evidencia que compare múltiples factores de costo de la cirugía colorrectal para determinar los medios más efectivos para reducir el costo total.OBJETIVO:Este estudio tiene como objetivo determinar los efectos de las técnicas quirúrgicas, el uso de protocolos de enhanced recovery y la presencia o ausencia de complicaciones en el costo total de hospitalización por cirugía colorrectal electiva.DISEÑO:Se realizó un análisis retrospectivo de cohortes utilizando data del 2011-2018. El punto principal fue el costo medio por hospitalización. Se comparó el costo entre los pacientes que experimentaron: cirugías mínimamente invasivas versus abiertas, protocolos de enhanced recovery después de la cirugía versus no, y complicaciones versus no.FUENTE DE DATOS:Se consultó la base de datos financiera y contable del hospital y el registro médico electrónico para la obtencion de datos.ENTORNO CLINICO:Este estudio se realizó en un hospital docente afiliado a una universidad en el noreste de los Estados Unidos.PACIENTES:Se incluyeron pacientes adultos sometidos a cirugía colorrectal electiva.PRINCIPALES MEDIDAS DE RESULTADO:El resultado principal de este estudio fue el costo medio por hospitalización calculado utilizando el costo de hospitalización basado en el costo total del episodio de atención.RESULTADOS:Un total de 1.039 pacientes cumplieron los criterios de inclusión. El costo promedio de todas las hospitalizaciones fue de $19801. El análisis multivariante demostró que los protocolos de enhanced recovery redujeron sustancialmente el costo de la atención en $6392 ( p = 0,001), mientras que las complicaciones aumentaron el costo en $16780 por episodio ( p < 0,001). Cuando ocurrieron complicaciones, los protocolos de enhanced recovery redujeron el costo en $17963 ( p = 0,010).LIMITACIONES:Este es un estudio de cohorte retrospectivo realizado en una sola institución y tiene limitaciones inherentes que incluyen confusión y sesgo de selección.CONCLUSIONES:Video Resumen en http://links.lww.com/DCR/B927 . (Traducción- Dr. Francisco M. Abarca-Rendon ).

The effect of unobserved preferences and race on vaccination hesitancy for COVID-19 vaccines: implications for health disparities.

BACKGROUND: Reducing the extra burden COVID-19 has on people already facing disparities is among the main national priorities for the COVID-19 vaccine rollout. Early reports from states releasing vaccination data by race show that White residents are being vaccinated at significantly higher rates than Black residents. Public health efforts are being targeted to address vaccine hesitancy among Black and other minority populations. However, health care interventions intended to reduce health disparities that do not reflect the underlying values of individuals in underrepresented populations are unlikely to be successful. OBJECTIVE: To identify key factors underlying the disparities in COVID-19 vaccination. METHODS: Primary data were collected from an online survey of a representative sample of the populations of the 4 largest US states (New York, California, Texas, and Florida) between August 10 and September 3, 2020. Using latent class analysis, we built a model identifying key factors underlying the disparities in COVID-19 vaccination. RESULTS: We found that individuals who identify as Black had lower rates of vaccine hesitancy than those who identify as White. This was true overall, by latent class and within latent class. This suggests that, contrary to what is currently being reported, Black individuals are not universally more vaccine hesitant. Combining the respondents who would not consider a vaccine (17%) with those who would consider one but ultimately choose not to vaccinate (11%), our findings indicate that more than 1 in 4 (28%) persons will not be willing to vaccinate. The no-vaccine rate is highest in White individuals and lowest in Black individuals. CONCLUSIONS: Results suggest that other factors, potentially institutional, are driving the vaccination rates for these groups. Our model results help point the way to more effective differentiated policies. DISCLOSURES: No funding was received for this study. The authors have nothing to disclose.

Jobs, Housing, and Mask Wearing: Cross-Sectional Study of Risk Factors for COVID-19.

BACKGROUND: Many studies have focused on the characteristics of symptomatic patients with COVID-19 and clinical risk factors. This study reports the prevalence of COVID-19 in an asymptomatic population of a hospital service area (HSA) and identifies factors that affect exposure to the virus. OBJECTIVE: The aim of this study is to measure the prevalence of COVID-19 in an HSA, identify factors that may increase or decrease the risk of infection, and analyze factors that increase the number of daily contacts. METHODS: This study surveyed 1694 patients between April 30 and May 13, 2020, about their work and living situations, income, behavior, sociodemographic characteristics, and prepandemic health characteristics. This data was linked to testing data for 454 of these patients, including polymerase chain reaction test results and two different serologic assays. Positivity rate was used to calculate approximate prevalence, hospitalization rate, and infection fatality rate (IFR). Survey data was used to analyze risk factors, including the number of contacts reported by study participants. The data was also used to identify factors increasing the number of daily contacts, such as mask wearing and living environment. RESULTS: We found a positivity rate of 2.2%, a hospitalization rate of 1.2%, and an adjusted IFR of 0.55%. A higher number of daily contacts with adults and older adults increases the probability of becoming infected. Occupation, living in an apartment versus a house, and wearing a face mask outside work increased the number of daily contacts. CONCLUSIONS: Studying prevalence in an asymptomatic population revealed estimates of unreported COVID-19 cases. Occupational, living situation, and behavioral data about COVID-19-protective behaviors such as wearing a mask may aid in the identification of nonclinical factors affecting the number of daily contacts, which may increase SARS-CoV-2 exposure.

Patient preferences for provider choice: a discrete choice experiment.

OBJECTIVES: There is an ongoing policy discussion regarding an adequate breadth of provider networks. Health plans with "restricted networks" of providers have proved surprisingly popular on the Affordable Care Act health insurance exchanges because of a substantial gap in premiums between plans with open networks and closed networks. The objective of this paper is to assess which other attributes of the provider network matter to patients when choosing health insurance. STUDY DESIGN: We used a discrete choice experiment to analyze the effect of previously unobserved characteristics regarding provider networks on plan choice, including wait time, breadth, travel time, whether the plan covers care for their personal doctor, and monthly premium. Hypothetical plan options were offered to respondents of an online survey using Qualtrics software. METHODS: We used mixed multinomial logit models to estimate preference-based utilities for attributes of primary care provider networks and willingness to pay. RESULTS: Coverage of a personal doctor was the most important attribute, followed by premium, wait time to see a primary care provider, the breadth of the network, and travel time to the closest doctor covered by the plan. Respondents were willing to pay $95 per month to have a plan that covers care for their personal doctor, and they were willing to wait 6 days for an appointment to have a plan covering care for their personal doctor. CONCLUSIONS: The results of this study provide new insights to federal and state legislators developing new models or standards on network adequacy and patient decision support tools.

The relation between selective contracting and healthcare expenditures in private health insurance plans in the United States.

Many healthcare systems, including The Netherlands, Germany and Switzerland, have incorporated elements of managed competition, whereby insurers compete for enrollees in a marketplace organized or facilitated by a government or governing entity. In these countries, managed competition was introduced with the idea that the system would contain cost growth while maximizing value for consumers and employers. An important mechanism to control costs is selective contracting: the process of contracting providers into a network and offer insurance packages with varying levels of provider coverage. In these systems, enrollees are expected to choose lower cost plans which offer access to only contracted providers in the network. The questions is, however, if restricting provider choice leads to reduced healthcare expenditures. In the United States, enrollees often have a choice between plans with restricted networks of providers and plans that offer more provider choice, where care outside the contracted network of providers is (partly) covered. The purpose of this study is to understand whether insurance plans with restrictions on provider access in the United States have reduced healthcare expenditures and to identify the mechanism by which that reduction occurred. We used data from the Medical Expenditure Panel Survey (MEPS), a nationally representative sample of families and individuals. We estimated expenditures for enrollees in restricted network plans using two-part models and generalized linear models. We found that restricted network plans, on average, save $761 per enrollee. Our results suggest that cost savings due to restricted network plans are largely a result of price reductions rather than utilization reductions, although both play a role in cost savings. When introducing reforms shifting from a supply-oriented to a demand-oriented health care system, these findings might be worth considering by other countries.

Development and Scoring of a Survey on Public Health Accreditation Capacity.

OBJECTIVES: Public health accreditation is a 7-step process that starts with a period of preapplication during which a health department assesses its readiness for accreditation. However, no tools with established reliability and validity that quantitatively measure a local health department's (LHD's) capacity for accreditation are available to complete this initial step. We developed and validated a survey to measure accreditation capacity for LHDs. METHODS: From January through April 2015, we administered a cross-sectional electronic survey instrument with 15 questions that tapped into domains of capacity for public health accreditation. We analyzed and grouped responses by using a confirmatory maximum likelihood factor analysis with oblique rotations. We assessed reliability by using Cronbach α, and we assessed validity by comparing responses with previously established instruments. We administered the survey to 174 LHD directors in Colorado, Kansas, and Nebraska, 153 (88%) of whom responded. RESULTS: The factor analysis produced a 3-factor model of accreditation capacity, suggesting that accreditation capacity depends on 3 distinct latent constructs: support for accreditation, preparation, and planning and approach. The model had good scale reliability (average Cronbach α = 0.7) and validity (average factor correlation = 0.43). CONCLUSIONS: The survey developed and scored in this analysis can be used by LHDs to inform the feasibility of initiating the time-intensive and costly process of accreditation.

A Deadly Wait for U.S. Health Insurance Coverage-Sitting on the Couch with Malaria.

Uninsured and unprepared travelers to countries with endemic tropical diseases pose great health-care burdens and financial risks on returning to the United States. We discuss the delayed presentation of an uninsured U.S. traveler returning from West Africa with severe malaria who required intensive care measures to save his life. Despite being critically ill on his return, he sat rigoring on his couch taking antipyretics for 3 days, while he applied for insurance on the Affordable Care Act website and waited for approval because he was fearful of the costs of seeking care. He also had limited access to affordable pretravel consultation and prophylactic medications and did not take them because he had no insurance. Average fees for a malaria hospitalization cost $25,789; however, this patient accumulated fees nearing $300,000-and his care was reimbursed by emergency Medicaid with $39,000, because his newly accepted insurance did not cover his hospitalization. This patients' experience in the U.S. health-care system with a deadly tropical disease exemplifies the need for affordable universal coverage of pretravel consultation and malaria prophylaxis. In this uncertain political time and the recent removal of the health insurance mandate, along with the White House and Congress wanting to reform health care, this case supports the American Society of Tropical Medicine and Hygiene (ASTMH) statements showing the need for funding of tropical medicine education, research, and public health services for travelers, not cuts to important agencies and insurances that keep our country safe from imported deadly tropical diseases.

The Economics of Public Health: Missing Pieces to the Puzzle of Health System Reform.

The United States continues to experiment with health care delivery and financing innovations, but relatively little attention is given to the public health system and its capacity for improving health status in the U.S. population at large. The public health system operates as a multisector enterprise in which government agencies work in conjunction with private and voluntary organizations to identify health risks in the population and to mobilize community-wide actions that prevent and contain these risks. The Affordable Care Act and related health reform initiatives are generating new interest in the question of how best to expand and integrate public health approaches into the larger U.S. health system. The research articles featured in this issue of Health Services Research cluster around two broad topics: how public health agencies can deliver services efficiently and how public health agencies can interact productively with other elements of the health system. The results suggest promising avenues for aligning medical care and public health practices.

The Effect of an Inpatient Smoking Cessation Treatment Program on Hospital Readmissions and Length of Stay.

OBJECTIVE: The objective of this study is to estimate the impact of an inpatient tobacco cessation treatment program on 30-day readmission rates and length of stay (LOS). METHODS: Participants were 28,994 patients admitted to the hospital between July 2012 and July 2014. Smokers were identified through the electronic medical records system and were offered cessation treatment. Program effects were estimated by using a difference-in-differences approach, comparing all smokers to all nonsmokers before versus after introduction of the program. Readmission rates were modeled by using probit regression; LOS was modeled by using truncated negative binomial regression. Models controlled for age, sex, race, payer, hospital department, severity of illness, and intensive care unit days. RESULTS: The hospital-initiated smoking cessation intervention had no significant effect on 30-day readmission rates or LOS. Other control variables had the expected signs and were statistically significant. CONCLUSIONS: The evaluation of an inpatient tobacco dependence treatment did not find significant short-term changes in healthcare utilization in the first 30 days after initial hospitalization.

Value of Public Health Funding in Preventing Hospital Bloodstream Infections in the United States.

OBJECTIVES: To estimate the association of 1 activity of the Prevention and Public Health Fund with hospital bloodstream infections and calculate the return on investment (ROI). METHODS: The activity was funded for 1 year (2013). A difference-in-differences specification evaluated hospital standardized infection ratios (SIRs) before funding allocation (years 2011 and 2012) and after funding allocation (years 2013 and 2014) in the 15 US states that received the funding compared with hospital SIRs in states that did not receive the funding. We estimated the association of the funded public health activity with SIRs for bloodstream infections. We calculated the ROI by dividing cost offsets from infections averted by the amount invested. RESULTS: The funding was associated with a 33% (P < .05) reduction in SIRs and an ROI of $1.10 to $11.20 per $1 invested in the year of funding allocation (2013). In 2014, after the funding stopped, significant reductions were no longer evident. CONCLUSIONS: This activity was associated with a reduction in bloodstream infections large enough to recoup the investment. Public health funding of carefully targeted areas may improve health and reduce health care costs.

Recommendations for Methicillin-Resistant Staphylococcus aureus Prevention in Adult ICUs: A Cost-Effectiveness Analysis.

OBJECTIVE: Patients in the ICU are at the greatest risk of contracting healthcare-associated infections like methicillin-resistant Staphylococcus aureus. This study calculates the cost-effectiveness of methicillin-resistant S aureus prevention strategies and recommends specific strategies based on screening test implementation. DESIGN: A cost-effectiveness analysis using a Markov model from the hospital perspective was conducted to determine if the implementation costs of methicillin-resistant S aureus prevention strategies are justified by associated reductions in methicillin-resistant S aureus infections and improvements in quality-adjusted life years. Univariate and probabilistic sensitivity analyses determined the influence of input variation on the cost-effectiveness. SETTING: ICU. PATIENTS: Hypothetical cohort of adults admitted to the ICU. INTERVENTIONS: Three prevention strategies were evaluated, including universal decolonization, targeted decolonization, and screening and isolation. Because prevention strategies have a screening component, the screening test in the model was varied to reflect commonly used screening test categories, including conventional culture, chromogenic agar, and polymerase chain reaction. MEASUREMENTS AND MAIN RESULTS: Universal and targeted decolonization are less costly and more effective than screening and isolation. This is consistent for all screening tests. When compared with targeted decolonization, universal decolonization is cost-saving to cost-effective, with maximum cost savings occurring when a hospital uses more expensive screening tests like polymerase chain reaction. Results were robust to sensitivity analyses. CONCLUSIONS: As compared with screening and isolation, the current standard practice in ICUs, targeted decolonization, and universal decolonization are less costly and more effective. This supports updating the standard practice to a decolonization approach.

Screening test recommendations for methicillin-resistant Staphylococcus aureus surveillance practices: A cost-minimization analysis.

BACKGROUND: To mitigate methicillin-resistant Staphylococcus aureus (MRSA) infections, intensive care units (ICUs) conduct surveillance through screening patients upon admission followed by adhering to isolation precautions. Two surveillance approaches commonly implemented are universal preemptive isolation and targeted isolation of only MRSA-positive patients. METHODS: Decision analysis was used to calculate the total cost of universal preemptive isolation and targeted isolation. The screening test used as part of the surveillance practice was varied to identify which screening test minimized inappropriate and total costs. A probabilistic sensitivity analysis was conducted to evaluate the range of total costs resulting from variation in inputs. RESULTS: The total cost of the universal preemptive isolation surveillance practice was minimized when a polymerase chain reaction screening test was used ($82.51 per patient). Costs were $207.60 more per patient when a conventional culture was used due to the longer turnaround time and thus higher isolation costs. The total cost of the targeted isolation surveillance practice was minimized when chromogenic agar 24-hour testing was used ($8.54 per patient). Costs were $22.41 more per patient when polymerase chain reaction was used. CONCLUSIONS: For ICUs that preemptively isolate all patients, the use of a polymerase chain reaction screening test is recommended because it can minimize total costs by reducing inappropriate isolation costs. For ICUs that only isolate MRSA-positive patients, the use of chromogenic agar 24-hour testing is recommended to minimize total costs.

Older Adult Strategies for Community Wayfinding.

Community wayfinding becomes more challenging with age and decrements in functioning. Given the growth in numbers of older adults, we need to understand features that facilitate or inhibit wayfinding in outdoor settings to enhance mobility and community engagement. This exploratory study of 35 short- ( n = 14) and long-term ( n = 21) residents in an ethnically diverse neighborhood identified relevant wayfinding factors. Data collection included an interview, map-drawing task, and walk along a previously audited, prescribed route to identify key wayfinding strategies. Most participants sought information from other people as a primary method of route planning. Street signs and landmarks were overwhelming favorites as helpful wayfinding features. When asked to recall the route following the walk, only half of participants gave completely correct directions. Findings reinforce the importance of landmarks and legible, systematic, and consistently available signage, as well as trustworthy person-to-person information sources. Findings also underscore the need for wayfinding research in diverse environments.

A Primer on Health Economic Evaluations in Thoracic Oncology.

There is growing interest for economic evaluation in oncology to illustrate the value of multiple new diagnostic and therapeutic interventions. As these analyses have started to move from specialist publications into mainstream medical literature, the wider medical audience consuming this information may need additional education to evaluate it appropriately. Here we review standard practices in economic evaluation, illustrating the different methods with thoracic oncology examples where possible. When interpreting and conducting health economic studies, it is important to appraise the method, perspective, time horizon, modeling technique, discount rate, and sensitivity analysis. Guidance on how to do this is provided. To provide a method to evaluate this literature, a literature search was conducted in spring 2015 to identify economic evaluations published in the Journal of Thoracic Oncology. Articles were reviewed for their study design, and areas for improvement were noted. Suggested improvements include using more rigorous sensitivity analyses, adopting a standard approach to reporting results, and conducting complete economic evaluations. Researchers should design high-quality studies to ensure the validity of the results, and consumers of this research should interpret these studies critically on the basis of a full understanding of the methodologies used before considering any of the conclusions. As advancements occur on both the research and consumer sides, this literature can be further developed to promote the best use of resources for this field.

Medication costs during an 18 month clinical trial of obesity treatment among patients encountered in primary care.

BACKGROUND: Weight loss often leads to reductions in medication costs, particularly for weight-related conditions. We aimed to evaluate changes in medication costs from an 18 month study of weight loss among patients recruited from primary care. METHODS: Study participants (n = 79, average age = 56.3; 75.7 % female) with average BMI of 39.5 kg/m(2), plus one co-morbid condition of either diabetes/pre-diabetes, hypertension, abnormal cholesterol, or sleep apnea, were recruited from 2 internal medicine practices. All participants received intensive behavioral and dietary treatment during months 0-6, including subsidized access to portion-controlled foods for weight loss. From months 7-18, all participants were offered continued access to subsidized foods, and half of participants were randomly assigned to continue in-person visits ("Intensified Maintenance"), while the other half received materials by mail or e-mail ("Standard Maintenance"). Medication costs were evaluated at months 0, 6, and 18. RESULTS: Participants assigned to Intensified Maintenance maintained nearly all their lost weight, whereas those assigned to Standard Maintenance regained weight. However, no significant differences in medication costs were observed within or between groups during the 18 months of the trial. A reduction of nearly $30 per month (12.9 %) was observed among all participants from month 0 to month 6 (active weight loss phase), but this difference did not reach statistical significance. CONCLUSIONS: A behavioral intervention that led to clinically significant weight loss did not lead to statistically significant reductions in medication costs. Substantial variability in medication costs and lack of a systematic approach by the study team to reduce medications may explain the lack of effect. TRIAL REGISTRATION: The trial was registered at (NCT01220089) on September 23, 2010.

A randomized pilot trial of a full subsidy vs. a partial subsidy for obesity treatment.

Intensive obesity treatment is mandated by federal health care reform but is costly. A partial subsidy for obesity treatment could lower the cost of treatment, without reducing its efficacy. This study sought to test whether a partial subsidy for obesity treatment would be feasible, as compared to a fully subsidized intervention. The study was a pilot randomized trial. Participants (n = 50) were primary care patients with obesity and at least one comorbid condition (diabetes, hypertension, dyslipidemia, or obstructive sleep apnea). Each participant received eight weight loss counseling visits as well as portion-controlled foods for weight loss. Participants were randomized to full subsidy or partial subsidy (2 vs. 1 meal per day provided). The primary outcome was weight change after 4 months. Secondary outcomes included changes in blood pressure, waist circumference, and health-related quality of life. Participants in the full and partial subsidy groups lost 5.9 and 5.3 kg, equivalent to 5.3% and 5.1% of initial weight, respectively (P = 0.71). Changes in secondary outcomes were similar in the two groups. A partial subsidy was feasible and induced a clinically similar amount of weight loss, compared to a full subsidy. Large-scale testing of economic incentives for weight control is merited given the federal mandate to offer weight loss counseling to obese patients.