Disparities in Mammography Screening: Analyzing Barriers to Access Using Individual Patient Perspectives and the Health Belief Model.

OBJECTIVE: The objective of our study is to explore Nepali women's beliefs about access to mammography screening, and motivations to get screened or not. This work was intended to be hypothesis generating for subsequent quantitative analysis and to inform policy and decision-making to improve access. METHODS: We conducted structured qualitative interviews among nine Nepali women in the Northeast of the United States receiving care at a local community health center and among nine white women receiving mammography care at a large academic medical center in the Northeast. We analyzed the transcripts using a mixed deductive (content analysis) and inductive (grounded theory) approach. Deductive codes were generated from the Health Belief Model which states that a person's belief in the real threat of a disease with their belief in the effectiveness of the recommended health service or behavior or action will predict the likelihood the person will adopt the behavior. We compared and contrasted qualitative results from both groups. RESULTS: We found that eligible Nepali women who had not received mammography screening had no knowledge of its availability and its importance. Primary care physicians emerged as a critical link in addressing this disparity: trust was found to be high among Nepali women with their established primary care provider. CONCLUSION: The findings of this study suggest that the role of primary care practitioners in conversations around the importance and eligibility for mammography screening is of critical importance, especially for underserved groups with limited health knowledge of screening opportunities and potential health benefits. Follow-up research should focus on primary care practices.

In this study, we interviewed Nepali women in a small, rural state in in the Northeast of the United States who are eligible for breast cancer screening yet do not seek it to better understand their motivations f. We also interviewed women who did get mammography screening to understand their motivations. We found that eligible Nepali women who had not received mammography screening had no knowledge of its availability and its importance. Primary care physicians emerged as a critical link in addressing this disparity: trust was found to be high among Nepali women with their established primary care provider. The findings of this study suggest that the role of primary care practitioners in conversations around the importance and eligibility for mammography screening is of critical importance.

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.

Understanding factors associated with increases in Medicare Advantage enrollment, 2007-2018.

OBJECTIVES: Private managed care plans in the Medicare Advantage (MA) program have been gaining market share relative to traditional fee-for-service Medicare (TM), yet there are no obvious structural changes to Medicare that would explain this growth. Our goal is to explain the growth in MA market share during a period when it increased dramatically. STUDY DESIGN: Data are drawn from a representative sample of the Medicare population from 2007 to 2018. METHODS: We decomposed MA growth into changes in the values of explanatory variables that influence MA enrollment (eg, income and payment rate) and changes in preferences for MA vs TM (estimated coefficients) using a nonlinear version of the Blinder-Oaxaca decomposition to distinguish the sources of MA growth. We find that the relatively smooth growth in MA market share masks 2 distinct growth periods. RESULTS: From 2007 to 2012, 73% of the increase was due to changes in the values of the explanatory variables, and only 27% was due to changes in coefficients. In contrast, from 2012 to 2018, changes in explanatory variables, particularly MA payment levels, would have led to a decline in MA market share if that effect had not been offset by changes in the coefficients. CONCLUSIONS: Overall, we find that MA is becoming more appealing to more educated and nonminority beneficiaries than in the past, although minority and lower-income beneficiaries are still more likely to pick the program. Over time, if preferences continue to shift, the nature of the MA program will change as it moves more toward the middle of the Medicare distribution.

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.

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.