Racial and ethnic differences in telemedicine use among community-dwelling older adults with dementia.

BACKGROUND: Routine ambulatory care is essential for older adults with Alzheimer's disease and related dementias (ADRD) to manage their health conditions. The federal government expanded telemedicine coverage to mitigate the impact of the COVID-19 pandemic on ambulatory services, which may provide an opportunity to improve access to care. This study aims to examine differences in telemedicine use for ambulatory services by race, ethnicity, and community-level socioeconomic status among community-dwelling older adults with ADRD. METHODS: This retrospective cohort study used Medicare claims data between April 01, 2020 and December 31, 2021. We included community-dwelling Medicare fee-for-service beneficiaries aged 65 years and older with ADRD. The outcome variable is individual's use (yes/no) of telemedicine evaluation and management (tele-EM) visits in each quarter. The key independent variables are race, ethnicity, and community-level socioeconomic status. RESULTS: The analytical sample size of the study was 2,068,937, including 9.9% Black, 82.7% White, and 7.4% Hispanic individuals. In general, we observed a decreasing trend of tele-EM use, and the average rate of quarterly tele-EM use was 23.0%. Tele-EM utilization varied by individual race, ethnicity, and community-level socioeconomic status. On average, White and Black individuals in deprived communities were 3.5 and 2.4 percentage-points less likely to use tele-EM compared with their counterparts in less-deprived communities (p < 0.001). However, Hispanic individuals in deprived communities were 2.4 percentage-points more likely to utilize tele-EM compared with those in less-deprived communities (p < 0.001). Additionally, we observed various racial and ethnic differences in telemedicine use in deprived communities versus less-deprived communities. CONCLUSIONS: We observed various racial and ethnic differences in telemedicine use, both within and between communities by socioeconomic status. Telemedicine is a viable healthcare delivery option that may influence healthcare access for racial and ethnic minorities and for individuals in socioeconomically deprived communities. Further policies or interventions may be needed to ensure all individuals have equal access to newly available care delivery models.

Home Health Quality Among Hospitalized Older Adults With Alzheimer's Disease and Related Dementia: Association With Race/Ethnicity and Dual Eligibility Before and During the COVID Pandemic.

OBJECTIVES: During the COVID-19 pandemic, home health agencies (HHAs) discharges following acute hospitalizations increased. This study examined whether racial and ethnic minoritized and socioeconomically disadvantaged patients (ie, Medicare-Medicaid dual-eligible) were differentially discharged to below-average quality HHAs before and during the COVID-19 pandemic. We focused on post-acute patients with Alzheimer's disease and related dementias (ADRD), who are generally frail and have high care needs. DESIGN: Cohort study. SETTING AND PARTICIPANTS: We linked 2019 to 2021 Medicare data with Area Deprivation Index (ADI), Home Health Compare, and COVID-19 infection data. We included Medicare beneficiaries with ADRD who were hospitalized for non-COVID-19 conditions and discharged to HHAs between January 2019 and November 2021. The final analytical sample included 426,766 qualified hospitalization events. METHODS: The outcome variable was whether a patient received care from a below-average quality HHA, defined by an average Quality of Patient Care Star Rating lower than 3.0. Key independent variables included individual race, ethnicity, and Medicare-Medicaid dual status. Linear probability models with county fixed effects were estimated, sequentially adjusting for the individual- and community-level covariates. Sensitivity analysis using various definitions of below-average quality HHAs was conducted. RESULTS: Before the pandemic, Black and Hispanic individuals had significantly higher probabilities of discharge to below-average quality HHAs compared with White individuals (3.4 and 3.9 percentage points, respectively). Dual-eligible individuals were also 2.5 percentage points more likely to be discharged to below-average quality HHAs. During the pandemic, disparities in being discharged to below-average quality HHAs persisted among racial and ethnic minoritized patients and increased among duals. Findings were consistent with and without adjusting for individual covariates and across different definitions of below-average quality HHA. CONCLUSIONS AND IMPLICATIONS: Persistent disparities were observed in being discharged to below-average quality HHAs by race, ethnicity, and dual status. Further research is needed to identify factors contributing to these ongoing inequalities.

Telemedicine and Disparities in Mental Health Service Use Among Community-Dwelling Older Adults With Alzheimer Disease and Related Dementias.

OBJECTIVE: To examine disparities in mental health (MH) service utilization, via in-person and telemedicine (ie, tele-MH), by individuals' race, ethnicity, and community socioeconomic status, among community-dwelling older adults with Alzheimer disease and related dementias (ADRD) before and after the expansion of the Centers for Medicare and Medicaid Services' (CMS's) telemedicine policy. DESIGN: Observational study. SETTING AND PARTICIPANTS: A total of 3,003,571 community-dwelling Medicare beneficiaries with ADRD between 2019 and 2021 were included in the study. METHODS: Multiple national data were linked. The unit of analysis was individual-quarter. Three outcomes were defined: any MH visits (in-person or tele-MH), in-person MH visits, and tele-MH visits per quarter. Key independent variables included individual race and ethnicity, the socioeconomic status of the community, and an indicator for the implementation of the telemedicine policy. Regression analyses with individual random effects were used. RESULTS: In general, Black and Hispanic older adults with ADRD and those in socioeconomically deprived communities were less likely to have MH visits than white adults and those from less-deprived communities. In-person and tele-MH visits varied throughout the pandemic and across subpopulations. For instance, at the beginning of the pandemic, white, Black, and Hispanic older adults experienced 5.05, 3.03, and 2.87 percentage point reductions in in-person MH visits, and 3.53, 1.26, and 0.32 percentage point increases in tele-MH visits (with P < .01 for racial/ethnic differences), respectively. During the pandemic, the increasing trend in in-person MH visits and the decreasing trend in tele-MH visits varied across different subgroups. Overall, racial and ethnic differences in any MH visits were reduced, but the gap in any MH visits between deprived and less-deprived communities doubled during the pandemic (P < .01). CONCLUSIONS AND IMPLICATIONS: Telemedicine may have provided an opportunity to improve access to MH services among underserved populations. However, although some disparities in MH care were reduced, others widened, underscoring the importance of equitable health care access strategies to address the unique needs of different populations.

Post-acute care transitions during COVID-19: Racial, ethnic, and socioeconomic differences in older adults with Alzheimer's disease and related dementia.

BACKGROUND: Differences in the post-acute care (PAC) destinations among racial, ethnic, and socioeconomic groups have been documented before the COVID-19 pandemic. Yet, the pandemic's impact on these differences remains unknown. We examined the impact of the COVID-19 pandemic on PAC destinations and its variation by individual race, ethnicity, and socioeconomic status among community-dwelling older adults with Alzheimer's disease and related dementia (ADRD). METHODS: We linked 2019-2021 national data (Medicare claims, Minimum Data Set, Master Beneficiary Summary File) and several publicly available datasets, including Provider of Services File, Area Deprivation Index, Area Health Resource File, and COVID-19 infection data. PAC discharge destinations included skilled nursing facilities (SNFs), home health agencies (HHA), and homes without services. Key variables of interest included individual race, ethnicity, and Medicare-Medicaid dual status. The analytic cohort included 830,656 community-dwelling Medicare fee-for-service beneficiaries with ADRD who were hospitalized between 2019 and 2021. Regression models with hospital random effects and state-fixed effects were estimated, stratified by the time periods, and adjusted for the individual, hospital, and county-level covariates. RESULTS: SNF discharges decreased while home and HHA discharges increased during the pandemic. The trend was more prominent among racial and ethnic minoritized groups and even more so among dual-eligible beneficiaries. For instance, the reduction in the probabilities of SNF admissions between the pre-pandemic period and the 2nd year of COVID was 4.6 (White non-duals), 18.5 (White duals), 8.7 (Black non-duals), and 20.1 (Black duals) percentage-point, respectively. We also found that non-duals were more likely to replace SNF with HHA services, while duals were more likely to be discharged home without HHA. CONCLUSIONS: The COVID-19 pandemic significantly impacted PAC destinations for individuals with ADRD, especially among socioeconomically disadvantaged and racial and ethnic minoritized populations. Future research is needed to understand if and how these transitions may have affected health outcomes.

Is the emergency department used as a substitute or a complement to primary care in Medicaid?

Policies to decrease low-acuity emergency department (ED) use have traditionally assumed that EDs are a substitute for unavailable primary care (PC). However, such policies can exacerbate ED overcrowding, rather than ameliorate it, if patients use EDs to complement, rather than substitute, their PC use. We tested whether Medicaid managed care enrolees visit the ED for nonemergent and PC treatable conditions to substitute for or to complement PC. Based on consumer choice theory, we modelled county-level monthly ED visit rate as a function of PC supply and used 2012-2015 New York Statewide Planning and Research Cooperative System (SPARCS) outpatient data and non-linear least squares method to test substitution vs complementarity. In the post-Medicaid expansion period (2014-2015), ED and PC are substitutes state-wide, but are complements in highly urban and poorer counties during nights and weekends. There is no evidence of complementarity before the expansion (2012-2013). Analyses by PC provider demonstrate that the relationship between ED and PC differs depending on whether PC is provided by physicians or advanced practice providers. Policies to reduce low-acuity ED use via improved PC access in Medicaid are likely to be most effective if they focus on increasing actual appointment availability, ideally by physicians, in areas with low PC provider supply. Different aspects of PC access may be differently related to low-acuity ED use.

Better performance for right-skewed data using an alternative gamma model.

BACKGROUND: The Maximum Likelihood Estimator (MLE) for parameters of the gamma distribution is commonly used to estimate models of right-skewed variables such as costs, hospital length of stay, and appointment wait times in Economics and Healthcare research. The common specification for this estimator assumes the variance is proportional to the square of the mean, which underlies estimation and specification tests. We present a specification in which the variance is directly proportional to the mean. METHODS: We used simulation experiments to investigate finite sample results, and we used United States Department of Veterans Affairs (VA) healthcare cost data as an empirical example comparing the fit and predictive ability of the models. RESULTS: Simulation showed the MLE based on a correctly specified alternative has less parameter bias, lower standard errors, and less skewness in distribution than a misspecified standard model. The application to VA healthcare cost data showed the alternative specification can have better R square, smaller root mean squared error, and smaller mean residuals within deciles of predicted values. CONCLUSIONS: The alternative gamma specification can be a useful alternative to the standard specification for estimating models of right-skewed continuous variables.

Racial/Ethnic Differences in Risk Factors Associated With Severe COVID-19 Among Older Adults With ADRD.

OBJECTIVE: To examine racial/ethnic differences in risk factors, and their associations with COVID-19-related outcomes among older adults with Alzheimer's disease and related dementias (ADRD). DESIGN: Observational study. SETTING AND PARTICIPANTS: National Medicare claims data and the Minimum Data Set 3.0 from April 1, 2020, to December 31, 2020, were linked in this study. We included community-dwelling fee-for-service Medicare beneficiaries with ADRD, diagnosed with COVID-19 between April 1, 2020, and December 1, 2020 (N = 138,533). METHODS: Two outcome variables were defined: hospitalization within 14 days and death within 30 days of COVID-19 diagnosis. We obtained information on individual sociodemographic characteristics, chronic conditions, and prior health care utilization based on the Medicare claims and the Minimum Dataset. Machine learning methods, including lasso regression and discriminative pattern mining, were used to identify risk factors in racial/ethnic subgroups (ie, White, Black, and Hispanic individuals). The associations between identified risk factors and outcomes were evaluated using logistic regression and compared across racial/ethnic subgroups using the coefficient comparison approach. RESULTS: We found higher risks of COVID-19-related outcomes among Black and Hispanic individuals. The areas under the curve of the models with identified risk factors were 0.65 to 0.68 for mortality and 0.61 to 0.62 for hospitalization across racial/ethnic subgroups. Although some identified risk factors (eg, age, gender) for COVID-19-related outcomes were common among all racial/ethnic subgroups, other risk factors (eg, hypertension, obesity) varied by racial/ethnic subgroups. Furthermore, the associations between some common risk factors and COVID-19-related outcomes also varied by race/ethnicity. Being male was related to 138.2% (95% CI: 1.996-2.841), 64.7% (95% CI: 1.546-1.755), and 37.1% (95% CI: 1.192-1.578) increased odds of death among Hispanic, White, and Black individuals, respectively. In addition, the racial/ethnic disparity in COVID-19-related outcomes could not be completely explained by the identified risk factors. CONCLUSIONS AND IMPLICATIONS: Racial/ethnic differences were detected in the likelihood of having COVID-19-related outcomes, specific risk factors, and relationships between specific risk factors and COVID-19-related outcomes. Future research is needed to elucidate the reasons for these differences.

US trends in social isolation, social engagement, and companionship ⎯ nationally and by age, sex, race/ethnicity, family income, and work hours, 2003-2020.

Social connectedness is essential for health and longevity, while isolation exacts a heavy toll on individuals and society. We present U.S. social connectedness magnitudes and trends as target phenomena to inform calls for policy-based approaches to promote social health. Using the 2003-2020 American Time Use Survey, this study finds that, nationally, social isolation increased, social engagement with family, friends, and 'others' (roommates, neighbors, acquaintances, coworkers, clients, etc.) decreased, and companionship (shared leisure and recreation) decreased. Joinpoint analysis showed that the pandemic exacerbated upward trends in social isolation and downward trends in non-household family, friends, and 'others' social engagement. However, household family social engagement and companionship showed signs of progressive decline years prior to the pandemic, at a pace not eclipsed by the pandemic. Work hours emerged as a structural constraint to social engagement. Sub-groups allocated social engagement differently across different relationship roles. Social engagement with friends, others, and in companionship plummeted for young Americans. Black Americans experienced more social isolation and less social engagement, overall, relative to other races. Hispanics experienced much less social isolation than non-Hispanics. Older adults spent more time in social isolation, but also relatively more time in companionship. Women spent more time with family while men spent more time with friends and in companionship. And, men's social connectedness decline was steeper than for women. Finally, low-income Americans are more socially engaged with 'others' than those with higher income. We discuss potential avenues of future research and policy initiatives that emerge from our findings.

Assessing the Effectiveness of a Primary Care Provider Office-Based Intervention for Increasing Organ Donor Registration Rates in Two New York State Counties.

Introduction: Despite strong public support, organ donor registration rates (RR) continue to lag while need only grows. In the United States, the traditional registration site is the Department of Motor Vehicles (DMV), however Primary care provider (PCP) offices have been considered as alternate locations for increasing RR. Methods: Twelve PCP offices across 2 New York Counties were subjected to a control week where participants received only a registration opportunity and an intervention week with the addition of a motivational poster and informational brochure. Zip code level sociodemographic data were obtained for each site. RR from the DMV over the same period served as historical control. Results: There were 1292 participants in the control phase and 1099 in the experimental phase. New registration rate for the control was 33.8% (289/897); experimental phase 7.88% (61/769); DMV registration 21.02% (1902/9050). The intervention was associated with a significant decrease in registrations (OR 0.181 (95% CI 0.135-0.244, P < 0.001)). Offices were clustered based on sociodemographic factors and regressed in 2 clusters. Lower educational attainment was associated with lower registration in the first but not second cluster (OR = 0.948 (0.923-0.974, P < 0.001)). Conclusions: This study provided evidence that PCP offices were a feasible site for organ donor registration and calls into question the efficacy of written materials-only interventions for increasing organ donor RR. It reiterated the negative effect of lower educational attainment on registration and suggested future studies focus on more active methods of engagement.

Motivation to move fast, motivation to wait and see: The association of prevention and promotion focus with clinicians' implementation of the JNC-7 hypertension treatment guidelines.

Roughly half of the adults in the United States are diagnosed with hypertension (HTN). Unfortunately, less than one-third have their condition under control. Clinicians generally have positive regard for the use of HTN guidelines to achieve HTN treatment goals; however, actual uptake remains low. Factors underpinning clinician variation in practice are poorly understood. To understand the relationship between clinicians' personal motivation to complete goals and their uptake of the Joint National Commission's HTN guidelines. The authors used Regulatory Focus Theory (RFT, ie, prevention and promotion focus), an empirically supported motivational theory, as a guiding framework to examine the relationship. The authors hypothesized that clinicians with high prevention focus would report following guidelines more often and have shorter follow-up visit intervals for patients with uncontrolled blood pressure. Clinicians (n  = 27) caring for adult patients diagnosed with HTN (n = 8605) in Federally Qualified Health Centers (n = 8). Clinicians' prevention and promotion focus scores and the number of days between visits for their patients with uncontrolled systolic blood pressure (SBP) (≥ 140 mm Hg). Consistent with RFT, 60% of prevention focused clinicians reported they always followed the monthly visit guideline for the patients with uncontrolled blood pressure, compared with 38% of promotion focused clinicians (p = .254). The unadjusted probability of returning for a follow-up visit within 30 days was greater among patients whose clinician was higher in prevention focus (p = .009), but there was no evidence at the 0.05 significance level in our adjusted model. These findings provide some limited evidence that RFT is a useful framework to understand clinician adherence to HTN treatment guidelines.

Understanding how psychosocial factors relate to seeking medical care among older adults using a new model of care seeking.

RATIONALE: Research has identified psychosocial factors related to the use of health services among the older population; however, the specific roles by which these factors drive behavior have not been identified and empirically tested. OBJECTIVE: This study tested whether previously identified psychosocial factors decrease or increase the motivational potential to seek care, the motivational sensitivity to perceived access, or the motivational sensitivity to perceived need. METHODS: The 2014 U.S. Health and Retirement Study was used. Analysis was based on 2589 older noninstitutionalized respondents (age greater than 64). The dependent variable was the number of healthcare provider visits in the preceding two years. Psychosocial factors included were life satisfaction, social network indicators, optimism, pessimism, positive social support, hopelessness, loneliness, self-efficacy, health efficacy, positive affect, negative affect, and purpose in life. Covariates included age and sex. Maximum likelihood estimation of an interpretable structural model was used. RESULTS: Results of the study provide evidence that psychosocial variables are related to health care seeking through both motivational potential and sensitivity parameters. Some psychosocial variables are related to multiple roles. For example, pessimism is related to a lower motivational potential and is more sensitive to access at higher levels of access, whereas hopelessness is related to a higher motivational potential and more sensitive to need and access at lower levels of each. CONCLUSIONS: Findings imply psychosocial characteristics are related to health care seeking and utilization of older adults via different roles that can countervail each other, and therefore the influence of interventions can be complex. To address this, complex interventions may be required.

Perinatal Health Outcomes Following a Community Health Worker-Supported Home-Visiting Program in Rochester, New York, 2015-2018.

We evaluated the effectiveness of a community health worker-supported home visitor program on perinatal outcomes of 455 at-risk pregnant women with program data merged with electronic medical records from July 2015 through October 2017 in Rochester, New York. Program participants had fewer adverse outcomes than did nonparticipants, including lower rates of preterm birth (12% vs 20%; χ2, P = .05) and low birth weight (14% vs 22%; χ2, P = .05). This program was effective at achieving improved perinatal outcomes.

Inflammatory biomarkers and growth factors in saliva and gingival crevicular fluid of e-cigarette users, cigarette smokers, and dual smokers: A pilot study.

BACKGROUND: Cigarette smoking remains one of the leading public health threats worldwide. Electronic cigarettes (e-cigs) provide an alternative to conventional cigarette smoking; however, the evidence base of risks and benefits of e-cig use is new and growing. In this cross-sectional pilot study, the effect of e-cig use on biological profiles in saliva and gingival crevicular fluid (GCF) was assessed and compared with the profiles of cigarette smokers (CS), dual users, and non-users. The systemic inflammatory mediators between e-cig users (EC) and these other groups were also assessed. METHODS: This pilot cross-sectional study recruited volunteer participants consisting of four groups, non-smokers (NS), CS, EC, and dual EC and cigarette smokers (DS). Saliva and GCF samples were collected and analyzed for biomarkers of inflammation, oxidative stress, anti-inflammatory lipid mediators, tissue injury and repair, and growth factors with immunoassay (enzyme-linked immunosorbent assay and Luminex). RESULTS: Smoking status was confirmed via salivary cotinine. Prostaglandin E2 level was significantly increased in CS compared with EC and DS, but not significantly different in EC and DS groups compared with non-smokers (NS). Statistically significant differences were observed between groups of EC and NS (myeloperoxidase [MPO], matrix metalloproteinase-9) as well as between DS and EC for biomarkers of inflammatory mediators (receptor for advanced glycation end products [RAGE], MPO, uteroglobin/CC-10); between groups of DS and NS for extracellular newly identified RAGE binding protein and between CS and NS for MPO. No statistically significant differences in biomarkers of immunity (S100A8, S100A9, galectin-3), tissue injury and repair (Serpine1/PAI-1) and growth factors (brain-derived neurotrophic factor, fibroblast growth factors, platelet-derived growth factor-AA, vascular endothelial growth factor, and others) were found between any of groups. CONCLUSION: Statistically significant differences in measurable health outcomes were found between different smoking status groups, suggesting that smoking/vaping produces differential effects on oral health.

Are Increasing Trends in Opioid-Related Hospitalizations Attributable to Increases in Diagnosis Recordability? Evidence from 2 Large States.

Based on calculations using all-listed diagnoses, the Agency for Healthcare Research and Quality (AHRQ) reports increasing national trends in opioid-related hospitalizations. It is unclear whether the reported increases are attributable to increases in available diagnosis fields. We leveraged increases in available diagnosis fields, ie, diagnosis recordability, in 2 states to examine their effects on opioid-related hospitalizations, graphically and with nonlinear least squares. Hospitalization data from Texas (1999-2011, N = 36 593 049) and New York (2005-2015Q3, N = 27 582 208) were aggregated to quarter-year in each state. Opioid-related hospitalizations were identified using the same International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) Diagnosis Codes as AHRQ. In Texas, the increase in diagnosis recordability resulted in a 29.9% discrete shift in the number of recorded opioid diagnoses and a 3-fold increase in the slope. In New York, a smaller discrete shift (3.1%) and a 3-fold increase in the slope were identified, although a more pronounced change in the trend occurred 5 years earlier (slope change from flat to increasing). Increases in recordability lead to a broader definition of opioid-related hospitalizations, if all-listed diagnoses are used; we found that more hospitalizations are identified using the postchange definition than with the prechange definition (9.7% more in Texas and 4.9% more in New York after 4 years). We conclude that reported increases in opioid-related hospitalizations are partially attributable to increases in diagnosis recordability. Cross-state and temporal comparisons of opioid-related hospitalization rates based on all-listed diagnoses can misrepresent the true relative extent of opioid-related hospital use and therefore of the opioid epidemic.

Mobility Improvements are Found in Older Veterans After 6-Months of Gerofit Regardless of BMI Classification.

Veterans represent a unique population of older adults as they are more likely to self-report disability and be overweight or obese compared to the general population. We sought to compare changes in mobility function across the obesity spectrum in older Veterans participating in six-months of Gerofit, a clinical exercise program. 270 Veterans completed baseline, three, and six-month functional assessment and were divided post-hoc into groups: normal weight, overweight, and obese. Physical function assessment included: ten-meter walk time, six-minute walk distance, 30-second chair stands, and eight-foot up-and-go time. No significant weight x time interactions were found for any measure. However, significant (P<0.02) improvements were found for all mobility measures from baseline to three-months and maintained at six-months. Six-months of participation in Gerofit, if enacted nationwide, appears to be one way to improve mobility and function in older Veterans at high risk for disability regardless of weight status.

Did Medicaid expansion matter in states with generous Medicaid?

OBJECTIVES: It is unclear whether the Medicaid expansion under the Affordable Care Act had an effect on coverage in states with relatively generous pre-expansion Medicaid eligibility levels. We examined the effect of the Medicaid expansions on Medicaid coverage in 4 generous states: New York, Vermont, Massachusetts, and Delaware. STUDY DESIGN: We used the American Community Survey (2011-2016) to estimate effects on coverage among nonelderly adults with incomes up to 138% of the federal poverty level. METHODS: We estimated differences in differences (DID) in marginal probabilities following probit models, comparing New York, Vermont, Massachusetts, and Delaware with nonexpansion states on the East Coast. RESULTS: There is strong evidence of the effect in New York: DID estimates ranged from 3.3 to 5.2 percentage points. There is weak or no evidence of coverage gains in the other 3 states. Pronounced effects were found among the racial/ethnic majority (white, non-Hispanic white, and nonblack populations) in New York, as well as the working poor and previously eligible in New York and Massachusetts. CONCLUSIONS: Even in states with relatively generous pre-expansion Medicaid programs, the expansion can produce nontrivial coverage gains, as evidenced by New York. Our findings of spillover effects may indicate the relative importance and success of a simplified enrollment process and increased media coverage in boosting enrollment in Medicaid. Our subgroup analyses highlight a potential need to improve access to office-based care to accommodate the growing population of the working poor on Medicaid and potential changes in the Medicaid risk pool served by managed care organizations and subsequent decreases in capitated payments.

Harnessing Expert Judgment to Support Clinical Decisions When the Evidence Base Is Weak.

PURPOSE: In the process of developing an evidence-based decision dashboard to support treatment decisions for patients with newly diagnosed prostate cancer, we found that the clinical evidence base is insufficient to provide high-quality comparative outcome data. We therefore sought to determine if clinically acceptable outcome estimates could be created using a modified version of the Sheffield Elicitation Framework (SHELF), a formal method for eliciting judgments regarding probability distributions of expected decision outcomes. METHODS: We asked a panel of 3 urologists, 4 radiation oncologists, and 2 medical oncologists to estimate the probabilities of 11 treatment outcomes based on their clinical experience and an annotated evidence summary. The estimates were elicited using a Microsoft Excel spreadsheet containing a self-guided, adapted version of the SHELF Roulette method distributed via email. We created combined outcome estimates by taking the mean values of the panel members' upper and lower 95% bounds for each outcome. The combined estimates were then distributed via email to the panel for final approval. RESULTS: Eight of the 9 responses were judged to be correct applications of the SHELF method and included in the combined outcome estimates. The final set of outcome estimates was unanimously accepted by the clinician panel members and used to create a decision dashboard suitable for clinical use and evaluation. CONCLUSIONS: Many important health care decisions need to be made in situations where the evidence base is inadequate. Use of a formal protocol for eliciting expert judgments is feasible and can be used to promote evidence-based practice by providing a powerful tool to facilitate the combination of professional judgment with research evidence and patient preferences to guide clinical decisions.

Political orientation, political environment, and health behaviors in the United States.

Political orientation (Republican/Democrat and conservative/liberal) and political environment (geo-spatial political party affiliated voting patterns) are both associated with various health outcomes, including mortality. Modern disease etiology in the U.S. suggests that many of our health outcomes derive from behaviors and lifestyle choices. Thus, we examine the associations of political orientation and political environment with health behaviors. We used the Annenberg National Health Communication Survey (ANHCS) data, which is a nationally representative U.S. survey fielded continuously from 2005 through 2012. The health behaviors studied include health information search, flu vaccination, excessive alcohol consumption, tobacco consumption, exercise, and dietary patterns. Democrats/liberals had higher odds of cigarette smoking and excessive drinking compared to Republicans/conservatives. Whereas, Republicans/conservatives ate fewer servings and fewer varieties of fruit and vegetables; ate more high fat and processed foods; and engaged in less in-depth health information searches compared to Democrats/liberals. Also, conservatives had lower odds of exercise participation than liberals; whereas Republicans had lower odds of flu vaccination. Greater Republican vote share in the 2008 and 2012 presidential elections at the state and/or county levels was associated with higher odds of flu vaccination and smoking cigarettes and lower odds of avoiding fat/calories, avoiding fast/processed food, eating a variety of fruits and vegetables, and eating more servings of fruit. We use the distinct cognitive-motivational styles attributed to political orientation in discussing the findings. Health communication strategies could leverage these relationships to produce tailored and targeted messages as well as to develop and advocate for policy.

Should Structured Exercise Be Promoted As a Model of Care? Dissemination of the Department of Veterans Affairs Gerofit Program.

Exercise provides a wide range of health-promoting benefits, but support is limited for clinical programs that use exercise as a means of health promotion. This stands in contrast to restorative or rehabilitative exercise, which is considered an essential medical service. We propose that there is a place for ongoing, structured wellness and health promotion programs, with exercise as the primary therapeutic focus. Such programs have long-lasting health benefits, are easily implementable, and are associated with high levels of participant satisfaction. We describe the dissemination and implementation of a long-standing exercise and health promotion program, Gerofit, for which significant gains in physical function that have been maintained over 5 years of follow-up, improvements in well-being, and a 10-year 25% survival benefit among program adherents have been documented. The program has been replicated at 6 Veterans Affairs Medical Centers. The pooled characteristics of enrolled participants (n = 691) demonstrate substantial baseline functional impairment (usual gait speed 1.05 ± 0.3 m/s, 8-foot up and go 8.7 ± 6.7 seconds, 30-second chair stands 10.7 ± 5.1, 6-minute walk distance 404.31 ± 141.9 m), highlighting the need for such programs. Change scores over baseline for 3, 6, and 12 months of follow-up are clinically and statistically significant (P < .05 all measures) and replicate findings from the parent program. Patient satisfaction ratings of high ranged from 88% to 94%. We describe the implementation process and present 1-year outcomes. We suggest that such programs be considered essential elements of healthcare systems.

The Feasibility of Sophisticated Multicriteria Support for Clinical Decisions.

BACKGROUND: Multicriteria decision-making (MCDM) methods are well-suited to serve as the foundation for clinical decision support systems. To do so, however, they need to be appropriate for use in busy clinical settings. We compared decision-making processes and outcomes of patient-level analyses done with a range of multicriteria methods that vary in ease of use and intensity of decision support, 2 factors that could affect their ease of implementation into practice. METHODS: We conducted a series of Internet surveys to compare the effects of 5 multicriteria methods that differ in user interface and required user input format on decisions regarding selection of a preferred method for lowering the risk of cardiovascular disease. The study sample consisted of members of an online Internet panel maintained by Fluidsurveys, an Internet survey company. Study outcomes were changes in preferred option, decision confidence, preparation for decision making, the Values Clarification and Decisional Uncertainty subscales of the Decisional Conflict Scale, and method ease of use. RESULTS: The frequency of changes in the preferred option ranged from 9% to 38%, P < 0.001, and rose progressively as the level of decision support provided by the MCDM method increased. The proportion of respondents who rated the method as easy ranged from 57% to 79% and differed significantly among MCDM methods, P = 0.003, but was not consistently related to intensity of decision support or ease of use. CONCLUSION: Decision support based on MCDM methods is not necessarily limited by decreases in ease of use. This result suggests that it is possible to develop decision support tools using sophisticated multicriteria techniques suitable for use in routine clinical care settings.