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To determine whether preventive dental visits are associated with fewer subsequent nonpreventive dental visits and lower dental expenditures.Indiana Medicaid enrollment and claims data (2015-2018) and the Area Health Resource File.A repeated measures design with individual and year fixed effects examining the relationship between preventive dental visits (PDVs) and nonpreventive dental visits (NPVs) and dental expenditures.Not applicable.Of 28,152 adults (108,349 observation-years) meeting inclusion criteria, 36.0% had a dental visit, 27.8% a PDV, and 22.1% a NPV. Compared to no PDV in the prior year, at least one was associated with fewer NPVs (β = -0.13; 95% CI -0.12, -0.11), lower NPV expenditures (β = -$29.12.53; 95% CI -28.07, -21.05), and lower total dental expenditures (-$70.12; 95% -74.92, -65.31), as well as fewer PDVs (β = -0.24; 95% CI -0.26, -0.23).Our findings suggest that prior year PDVs are associated with fewer subsequent NPVs and lower dental expenditures among Medicaid-enrolled adults. Thus, from a public insurance program standpoint, supporting preventive dental care use may translate into improved population oral health outcomes and lower dental costs among certain low-income adult populations, but barriers to consistent utilization of PDV prohibit definitive findings.

OBJECTIVES: Understanding and addressing contributing factors to unmet dental need is an important public health challenge. This study investigated the prevalence of, and factors associated with, self-reported unmet dental need using a nationally representative sample of U.S. adults. METHODS: This was a cross-sectional study using the Medical Expenditures Panel Survey (MEPS) from 2016. The weighted prevalence of unmet dental need was estimated among individuals aged 18 years or older. Chi-squared and multivariate logit regression with marginal effects (i.e., absolute risk differences) were used to measure the association of unmet dental need with respondent characteristics. RESULTS: The prevalence of adults reporting unmet dental need was 6% (95% CI: 5.5 to 6.5). Adults with dental insurance were 1.7 percentage points (95% CI: −2.8 to −0.6) less likely to report unmet dental needs than adults without dental insurance. Those with middle income were 2.3 percentage points (95% CI: 1.2 to 3.4), those with low income were 3.3 percentage points (95% CI: 1.7 to 5.0), and those with poor/negative/near-poor income were 4.2 percentage points (95% CI: 2.7 to 5.7) more likely to report an unmet dental need than adults with high income. Both Hispanics (−1.7 percentage points [95% CI: −2.8 to −0.6]) and non-Hispanic Blacks (−1.1 percentage points [95% CI: −2.1 to −0.1]) were less likely to report an unmet dental need than whites. Smoking, education, general health status, chronic disease, and marital status were also significantly associated with reporting an unmet dental need. CONCLUSION: Future policies should continue to address cost and coverage barriers to adult dental care, as these remain significant barriers to access, particularly for low-income adults. Future research should evaluate the reasons adults report unmet dental need and explore how adults’ judgment of dental need compares to providers’ clinical judgment. Additionally, research that explores how race and ethnicity affect perceptions of unmet dental need is warranted.

Recruitment of diverse populations and subjects living in Medically Underserved Areas and Populations (MUA/P’s) into clinical trials is a considerable challenge. Likewise, representation of African-Americans in pharmacogenetic trials is often inadequate, but critical for identifying genetic variation within and between populations. To identify enrollment patterns and variables that predict enrollment in a diverse underserved population, we analyzed data from the INGENIOUS (Indiana GENomics Implementation and Opportunity for the UnderServed), pharmacogenomics implementation clinical trial conducted at a community hospital for underserved subjects (Safety net hospital), and a statewide healthcare system (Academic hospital). We used a logistic regression model to identify patient variables that predicted successful enrollment after subjects were contacted and evaluated the reasons that clinical trial eligible subjects refused enrollment. In both healthcare systems, African-Americans were less likely to refuse the study than non-Hispanic Whites (Safety net, OR = 0.68, and p < 0.002; Academic hospital, OR = 0.64, and p < 0.001). At the Safety net hospital, other minorities were more likely to refuse the study than non-Hispanic Whites (OR = 1.58, p < 0.04). The odds of refusing the study once contacted increased with patient age (Safety net hospital, OR = 1.02, p < 0.001, Academic hospital, OR = 1.02, and p < 0.001). At the Academic hospital, females were less likely to refuse the study than males (OR = 0.81, p = 0.01) and those not living in MUA/P’s were less likely to refuse the study than those living in MUA/P’s (OR = 0.81, p = 0.007). The most frequent barriers to enrollment included not being interested, being too busy, transportation, and illness. A lack of trust was reported less frequently. In conclusion, African-Americans can be readily recruited to pharmacogenetic clinical trials once contact has been successfully initiated. However, health care initiatives and increased recruitment efforts of subjects living in MUA/Ps are needed. Enrollment could be further enhanced by improving research awareness and knowledge of clinical trials, reducing time needed for participation, and compensating for travel.

Purpose While there is growing scientific evidence for and significant advances in the use of genomic technologies in medicine, there is a significant lag in the clinical adoption and sustainability of genomic medicine. Here we describe the findings from the National Human Genome Research Institute’s (NHGRI) Implementing GeNomics In pracTicE (IGNITE) Network in identifying key constructs, opportunities, and challenges associated with driving sustainability of genomic medicine in clinical practice. Methods Network members and affiliates were surveyed to identify key drivers associated with implementing and sustaining a genomic medicine program. Tallied results were used to develop and weigh key constructs/drivers required to support sustainability of genomic medicine programs. Results The top 3 driver-stakeholder dyads were 1. Genomic training for providers, 2. Genomic clinical decision support (CDS) tools embedded in the Electronic Health Record (EHR), 3. Third party reimbursement for genomic testing. Conclusion Priorities may differ depending on healthcare systems when comparing the current state of key drivers vs. projected needs for supporting genomic medicine sustainability. Thus we provide gap-filling guidance based on IGNITE members’ experiences. Although results are limited to findings from the IGNITE network, their implementation, scientific and clinical experience may be used as a road map by others considering implementing genomic medicine programs.

Purpose When codeine and tramadol are used for pain management, it is imperative that nurses are able to assess for potential drug-gene and drug-drug-gene interactions that could adversely impact drug metabolism and ultimately pain relief. Both drugs are metabolized through the CYP2D6 metabolic pathway which can be affected by medications as well the patient's own pharmacogenotype. The purpose of this brief report is to identify drug-gene and drug-drug-gene interactions in 30 adult patients prescribed codeine or tramadol for pain. Methods We used three data sources: (1) six months of electronic health record data on the number and types of medications prescribed to each patient; (2) each patient's CYP2D6 pharmacogenotype, and (3) published data on known CYP2D6 gene-drug and drug-drug-gene interactions. Results Ten patients (33%) had possible drug-gene or drug-drug-gene interactions. Five patients had CYP2D6 drug-gene interactions indicating they were not good candidates for codeine or tramadol. In addition, five patients had potential CYP2D6 drug-drug-gene interactions with either codeine or tramadol. Conclusion Our findings from this exploratory study underscores the importance of assessing and accounting for drug-gene and drug-drug-gene interactions in patients prescribed codeine or tramadol.

Objectives Implementing new programs to support precision medicine in clinical settings is a complex endeavor. We describe challenges and potential solutions based on the Indiana GENomics Implementation: an Opportunity for the Underserved (INGenious) program at Eskenazi Health—one of six sites supported by the Implementing GeNomics In pracTicE network grant of the National Institutes of Health/National Human Genome Research Institute. INGenious is an implementation of a panel of genomic tests. Methods We conducted a descriptive case study of the implementation of this pharmacogenomics program, which has a wide scope (14 genes, 27 medications) and a diverse population (patients who often have multiple chronic illnesses, in a large urban safety-net hospital and its outpatient clinics). Challenges We placed the clinical pharmacogenomics implementation challenges into six categories: patient education and engagement in care decision making; clinician education and changes in standards of care; integration of technology into electronic health record systems; translational and implementation sciences in real-world clinical environments; regulatory and reimbursement considerations, and challenges in measuring outcomes. A cross-cutting theme was the need for careful attention to workflow. Our clinical setting, a safety-net health care system, presented some distinctive challenges. Patients often had multiple chronic illnesses and sometimes were taking more than one pharmacogenomics-relevant medication. Reaching patients for recruitment or follow-up was another challenge. Conclusions New, large-scale endeavors in health care are challenging. A description of the challenges that we encountered and the approaches that we adopted to address them may provide insights for those who implement and study innovations in other health care systems.

OBJECTIVE Lifestyle interventions slow development of type 2 diabetes by half, but the impact of health payer reimbursement for delivery of intervention programs is not well known. We evaluated net commercial health payer expenditures when offering reimbursement for access to YMCA’s Diabetes Prevention Program (YDPP) in 42 states. RESEARCH DESIGN AND METHODS We used a nonequivalent comparison group design to evaluate net health care expenditures for adults with prediabetes who attended one or more YDPP visit between 1 July 2009 and 31 May 2013 (“YDPP users”). Rolling, 1:1 nearest neighbor propensity score (PS) matching was used to identify a comparison group of nonusers. Administrative data provided measures of YDPP attendance, body weight at YDPP visits, and health care expenditures. Random effects, difference-in-difference regression was used to estimate quarterly health care expenditures before and after participants’ first visit to YDPP. RESULTS Worksite screening identified 9.7% of the target population; 39.1% of those identified (19,933 participants through June 2015) became YDPP users. Mean weight loss for YDPP users enrolled before June 2013 (n = 1,725) was 7.5 lb (3.4%); 29% achieved ≥5% weight loss. Inclusive of added costs to offer YDPP, there were no statistically significant differences in mean per-person net health care expenditures between YDPP users and PS-matched nonusers over 2 years ($0.2 lower [95% CI $56 lower to $56 higher]). Mean reimbursement to the YMCA was $212 per YDPP user, with 92.8% of all expenditures made for those who attended at a high rate (≥9 completed YDPP visits). CONCLUSIONS Worksite screening was inefficient for identifying the population with prediabetes, but those identified achieved modest YDPP attendance and clinically meaningful weight loss. Over 2 years, added costs to offer the intervention were modest, with neutral effects on net health care costs.

Background: Tramadol and codeine are metabolized by CYP2D6 and are subject to drug–gene and drug–drug interactions. Methods: This interim analysis examined prescribing behavior and efficacy in 102 individuals prescribed tramadol or codeine while receiving pharmaco-genotyping as part of the INGENIOUS trial (NCT02297126). Results: Within 60 days of receiving tramadol or codeine, clinicians more frequently prescribed an alternative opioid in ultrarapid and poor metabolizers (odds ratio: 19.0; 95% CI: 2.8–160.4) as compared with normal or indeterminate metabolizers (p = 0.01). After adjusting the CYP2D6 activity score for drug–drug interactions, uncontrolled pain was reported more frequently in individuals with reduced CYP2D6 activity (odds ratio: 0.50; 95% CI: 0.25–0.94). Conclusion: Phenoconversion for drug–drug and drug–gene interactions is an important consideration in pharmacogenomic implementation; drug–drug interactions may obscure the potential benefits of genotyping.

Hospital systems increasingly utilize pharmacogenomic testing to inform clinical prescribing. Successful implementation efforts have been modeled at many academic centers. In contrast, this report provides insights into the formation of a pharmacogenomics consultation service at a safety-net hospital, which predominantly serves low-income, uninsured, and vulnerable populations. The report describes the INdiana GENomics Implementation: an Opportunity for the UnderServed (INGENIOUS) trial and addresses concerns of adjudication, credentialing, and funding.

Objectives: Given public health’s emphasis on health disparities in underrepresented racial/ethnic minority communities, having a racially and ethnically diverse faculty is important to ensure adequate public health training. We examined trends in the number of underrepresented racial/ethnic minority (ie, non-Hispanic black, Hispanic, American Indian/Alaska Native, Native Hawaiian, and Pacific Islander) doctoral graduates from public health fields and determined the proportion of persons from underrepresented racial/ethnic minority groups who entered academia. Methods: We analyzed repeated cross-sectional data from restricted files collected by the National Science Foundation on doctoral graduates from US institutions during 2003-2015. Our dependent variables were the number of all underrepresented racial/ethnic minority public health doctoral recipients and underrepresented racial/ethnic minority graduates who had accepted academic positions. Using logistic regression models and adjusted odds ratios (aORs), we examined correlates of these variables over time, controlling for all independent variables (eg, gender, age, relationship status, number of dependents). Results: The percentage of underrepresented racial/ethnic minority doctoral graduates increased from 15.4% (91 of 592) in 2003 to 23.4% (296 of 1264) in 2015, with the largest increase occurring among black graduates (from 6.6% in 2003 to 14.1% in 2015). Black graduates (310 of 1241, 25.0%) were significantly less likely than white graduates (2258 of 5913, 38.2%) and, frequently, less likely than graduates from other underrepresented racial/ethnic minority groups to indicate having accepted an academic position (all P < .001). Conclusions: Stakeholders should consider targeted programs to increase the number of racial/ethnic minority faculty members in academic public health fields.

Current approaches to assessing medication exposure fail to capture the complexity of the phenomenon and the context in which it occurs. This study’s purpose was to develop a typology of subgroups of patients who share common patterns of medication exposure. To create the typology, we used an exemplar sample of 30 patients in a large public healthcare system who had been prescribed the pharmacogenetically actionable opioids codeine or tramadol. Data related to medication exposure were drawn from large data repositories. Using a person-oriented qualitative approach, eight subgroups of patients who shared common patterns of medication exposure were identified. The subgroups had one of five opioid prescription patterns (i.e., singular, episodic, switching, sustained, multiplex), and one of three types of primary foci of medical care (i.e., pain, comorbidities, both). The findings reveal medication exposure patterns that are dynamic, multidimensional, and complex, and the typology offers an innovative approach to assessing medication exposure.

Objectives. To examine postgraduation employment trends among graduates of doctoral programs in public health from 2003 to 2015. Methods. We analyzed pooled cross-sectional data from a census of graduates receiving a research doctorate from US accredited institutions. The outcome of interest was employment status. Covariates included public health discipline, sociodemographic characteristics, and institutional attributes. Results. Of 11 771 graduates, nearly two thirds secured employment in either academic (34.8%) or nonacademic (31.4%) settings at the time of graduation. The proportion of those still seeking employment increased over time. Individuals who were White, younger, trained in either biostatistics or epidemiology, or from an institution with the highest level of research intensity were significantly more likely to secure employment. Academic employment was the most common setting for all 5 public health disciplines, but we observed differences in employment patterns (e.g., government, nonprofit, for-profit) across disciplines. Conclusions. Certain characteristics among public health doctoral recipients are correlated with postgraduation employment. More research is needed, but the observed increase in individuals still seeking employment may be attributable to increases in general public health graduates from for-profit institutions.

Objectives: Given the call for more interdisciplinary research in public health, the objectives of this study were to (1) examine the correlates of interdisciplinary dissertation completion and (2) identify secondary fields most common among interdisciplinary public health graduates. Methods: We analyzed pooled cross-sectional data from 11 120 doctoral graduates in the Survey of Earned Doctorates, 2003-2015. The primary outcome was interdisciplinary dissertation completion. Covariates included primary public health field, sociodemographic characteristics, and institutional attributes. Results: From 2003 to 2015, a total of 4005 of 11 120 (36.0%) doctoral graduates in public health reported interdisciplinary dissertations, with significant increases observed in recent years. Compared with general public health graduates, graduates of environmental health (odds ratio [OR] = 1.74; P < .001) and health services administration (OR = 1.38; P < .001) doctoral programs were significantly more likely to report completing interdisciplinary dissertation work, whereas graduates from biostatistics (OR = 0.51; P < .001) and epidemiology (OR = 0.76; P < .001) were less likely to do so. Completing an interdisciplinary dissertation was associated with being male, a non-US citizen, a graduate of a private institution, and a graduate of an institution with high but not the highest level of research activity. Many secondary dissertation fields reported by interdisciplinary graduates included other public health fields. Conclusion: Although interdisciplinary dissertation research among doctoral graduates in public health has increased in recent years, such work is bounded in certain fields of public health and certain types of graduates and institutions. Academic administrators and other stakeholders may use these results to inform greater interdisciplinary activity during doctoral training and to evaluate current and future collaborations across departments or schools.

While there is growing scientific evidence for and significant advances in the use of genomic technologies in medicine, there is a significant lag in the clinical adoption and sustainability of genomic medicine. Here we describe the findings from the National Human Genome Research Institute's (NHGRI) Implementing GeNomics In pracTicE (IGNITE) Network in identifying key constructs, opportunities, and challenges associated with driving sustainability of genomic medicine in clinical practice.Network members and affiliates were surveyed to identify key drivers associated with implementing and sustaining a genomic medicine program. Tallied results were used to develop and weigh key constructs/drivers required to support sustainability of genomic medicine programs.The top three driver-stakeholder dyads were (1) genomic training for providers, (2) genomic clinical decision support (CDS) tools embedded in the electronic health record (EHR), and (3) third party reimbursement for genomic testing.Priorities may differ depending on healthcare systems when comparing the current state of key drivers versus projected needs for supporting genomic medicine sustainability. Thus we provide gap-filling guidance based on IGNITE members' experiences. Although results are limited to findings from the IGNITE network, their implementation, scientific, and clinical experience may be used as a road map by others considering implementing genomic medicine programs.

Objective To evaluate Positive Choices (PC), a program that employed lay health workers to motivate antiretroviral adherence among persons living with HIV with coverage from Indiana's high-risk insurance pool. Methods Four hundred and forty nine participants living in the greater Indianapolis area were randomly allocated to treatment ( n = 91) or control ( n = 358) groups and followed for one year. Results Compared to control subjects, PC subjects were more likely to adhere to HIV medications (medication possession ratio adherence ≥0.95, OR = 1.83, p = 0.046), and to achieve undetectable viral load ( p = 0.011) in the 12 months following introduction of PC. There were no significant differences observed between groups in any of self-reported health status indicators. Conclusion Estimates suggest that PC clients were 16% more likely to have undetectable viral loads than clients in standard care. The incremental program cost was approximately $10,000 for each additional person who achieved an undetectable viral load. Practice implications As persons living with HIV experience greater longevity and healthcare reform expands coverage to these high-risk populations, greater demands will be placed on the HIV-care workforce. Results suggest lay health workers may serve as effective adjuncts to professional care providers.

Rationale, aims and objectives Evidence suggests that educational outreach (‘academic detailing’) improves evidence-based prescribing. We evaluated the impact of an academic detailing programme intended to increase new statin prescriptions. Methods In a 2 × 2 factorial design we evaluated the effect of an academic detailing programme with/without telephonic care management for patients. Eligible patients were continuously enrolled Medicaid members at high risk for cardiovascular disease utilization who were not receiving statin medication in the 18 months prior to the intervention. All primary care prescribers assigned to these patients were randomized by clinic to academic detailing. Two trained nurses provided the detailing to prescribers, including specific discussion about the use of statins in this high-risk patient population. Nurses left the prescribers with a summary of clinical practice guidelines, a one-page detailing sheet and a list of patients under the care of the prescriber who were candidates for statins. The primary outcome was the incidence of a new statin prescription claim during the 6-month intervention period and the subsequent 6 months. Logistic regression models were used to estimate main effects of the interventions and to adjust for potential confounding variables in the study. Results Forty-eight clinics were randomized, effectively randomizing a total of 284 patients and 128 prescribers. Among the 284 patients, 46 (16%) received a new statin claim during the evaluation period. Controlling for significant bivariate associations, the academic detailing intervention had no significant effect on new statin prescriptions compared with the control group (odds ratio = 0.8, 95% confidence interval: 0.4–1.6, P = 0.5). Conclusion Among this Medicaid population at high risk for cardiovascular events, an academic detailing programme to increase statin prescriptions was not effective. To assist others to learn from our failed effort, we identify and discuss critical elements in the design and implementation of the programme that could account for these results.

Environmental planners often propose tourism as a means of financing programmes to protect significant environmental areas. Surveys of tourists can provide useful information about the significance of environmental problems, trade-offs among policy objectives, willingness to pay (WTP) for protection programmes and preferences for different payment mechanisms. In Khanh Hoa Province, the provincial People's Committee, the Ministry of Fisheries and the World Conservation Union are working to implement Viet Nam's first marine protected area (MPA) in Nha Trang Bay. This paper reports the results of a survey of local and other Vietnamese and foreign tourists to islands that will be included in the MPA. The majority of respondents thought rubbish on the beaches, water pollution and vendors on beaches were problems and that the MPA was a good idea. Foreign tourists were significantly more likely to perceive environmental problems than were Vietnamese tourists, and persons who agreed there were environmental probl...

OBJECTIVE: One-time colonoscopy has been recommended as a possible colorectal cancer (CRC) screening strategy. Because the incidence of colorectal neoplasia increases with age, the effectiveness and cost of this strategy depend on the age at which screening occurs. The purpose of this study was to investigate the age-dependent cost-utility of one-time colonoscopic screening. METHODS: We constructed a computer simulation model of the natural history of colorectal neoplasia. This model was used to compare the cost-utility of no screening and age-based strategies employing one-time colonoscopic screening (age ranges evaluated: 45-49, 50-54, 55-59, and 60-64 yr). RESULTS: We determined that one-time colonoscopic screening in men age

Estimates of health care demand are known to depend on the empirical specification used in the analysis. In this paper, an innovative specification, the finite mixture model (FMM), is employed to estimate the utilization of and expenditures on behavioural health care. Unlike standard specifications, the FMM has the ability to distinguish between distinct classes of users of behavioural health care (e.g. the 'worried well' and the severely mentally ill). This new model is tested against standard empirical specifications using data from the National Medical Expenditure Survey. Using common risk stratifiers, estimates of utilization and costs are generated with each specification. It is found that the FMM provides a much better fit of both expenditure and utilization data than standard specifications, particularly among high intensity users that standard models have been unable to represent adequately. Furthermore, the results provide preliminary evidence that there are (at least) two distinct groups of users of behavioural health care. The empirical advantages of the FMM translate into superior estimates of mean costs and utilization that have widespread application in rate-setting exercises.

This article examines the extent to which the costs of formal health care are shifted from third-party payers to the patient and his or her family, especially during the transition to the community after discharge from a state hospital. Findings indicate that patients residing in the community are as likely to receive some care as their counterparts in institutions, but are at higher risk for uncovered care. Uncovered care is more likely to manifest as an unmet need for patients who have been recently discharged, especially for racial minorities, and as an out-of-pocket expense for patients who are established in the community.

Background: As downsizing of institutional care continues, patients discharged are likely to have more severe mental illnesses, and to have experienced longer tenures within institutions than patients who have been discharged in the past. As greater numbers of patients are removed from mental hospitals, the objective burden experienced by informal care-givers may increase, particularly if formal care levels are inadequate. Aims of the Study: This paper documents who assumes informal care-giver roles, and the form such care-giving takes for patients discharged from a state hospital. Specifically, this paper identifies (i) what factors affect a person’s decision to assume a care-giver role, including the participation of other network members in caregiving, (ii) what factors influence whether care-giving is provided in time or in direct purchase of care and (iii) how the patient’s treatment location affects the decision of the network member to assume any care-giving role. Data and Analytical Methods: Data for this paper are taken from a longitudinal study of the closure of a state mental hospital in central Indiana. Seventy-seven patients were asked to identify their community networks. Ninety-eight network members were surveyed about the informal care, both in time or through direct expenditures, they provided to these patients one year after discharge. Caregiving relationships were estimated using a multivariate probit model. Such a model estimates the extent to which the decision to provide care in either form depends on the care-giving activities assumed by other network members associated with a given patient, as well as the characteristics of individual patients and network members. Results: Forty-one per cent of network members provided some level of informal care, with 13.3% providing some care in time, and 35.7% providing some care through direct expenditures. A positive relationship was found between participation in informal care-giving and the perception by the network member that patient needs were not being met by professionals. The decision to provide informal care was also found to be sensitive to the level of informal and formal care received by the patient. Care-giving in expense was found to be positively related to the care-giving decisions of other informal care-givers, but care-giving in time was not. Network members were more likely to provide care in time for patients who had been recently discharged to the community than for patients who remained in institutional settings.

This paper evaluates the extent to which patients may substitute physician and non-physician outpatient mental health services in response to insurance coverage which differs by provider type. Using data from the National Medical Expenditure Survey, a semi-flexible two-stage demand specification is used to estimate substitution elasticities. Our results indicate that insurance coverage significantly affects the choice of provider from whom care is sought and, for individuals who seek care from both provider types, that physician and non-physician services are substitutes. Our elasticity estimates provide a welfare economic argument supporting coverage parity of physician and non-physician mental health services.

To address the growing incidence of type 2 diabetes in the United States, UnitedHealth Group, the YMCA of the USA, and the Centers for Disease Control and Prevention have partnered to bring a group-based adaptation of the Diabetes Prevention Program lifestyle intervention to a national scale. Researchers at Northwestern and Indiana universities are collaborating with these partners to design a robust evaluation of the reach, effectiveness, and costs of this natural experiment. We will employ a quasi-experimental, cluster-randomized study design and combine administrative, clinical, and programmatic data from existing sources to derive reliable, timely, and policy-relevant estimates of the program’s impact and potential for sustainability. In this context, evaluation results will provide information about the unique role of a health care–community partnership to prevent type 2 diabetes.

This paper investigates whether choice of health insurance is influenced by the perceived mental and physical health of family members among a sample of policy-holders with private health insurance. A multinomial probit model of the choice among major medical coverage only, traditional full coverage, and coverage through a health maintenance organization is estimated. Results indicate that the presence of at least one family member who rates his or her general health as poor does not affect the policy-holder's choice of health insurance. However, the presence of at least one family member considered at risk of mental illness does in some instances affect the policy-holder's choice of health insurance: We observe significant effects for policy-holders who are female, black, have some college education, work for a large firm, and live in an urban area. These findings suggest that adverse selection may arise when individuals are able to choose between health insurance policies with different degrees of coverage for mental health care and that such effects are far more pronounced for those people who consider themselves at risk for mental illness than physical illness.

This paper assesses the appropriateness of QALYs (quality adjusted life years) as a foundation for an index of societal health, and the feasibility of using such an index to guide health care policy. Results of this paper suggest that the standard aggregate QALY index imposes an ethical position on policy makers which may promote inequality in well-being associated with health. It is possible to rectify this problem in theory, but current data are insufficient to estimate such corrected indices. A QALY-based index, constructed using the best available data, indicates morbidity has a significant effect on Canadian health status (e.g. life expectancy figures alone overstate community health by about 10%), that the impact of morbidity is unequal across regions and gender, and that role (the ability to fulfil social functions) and mobility dysfunction are important determinants of ill-health in this population.

Capacity constraints and efficiency considerations require that disease management programs identify patients most likely to benefit from intervention. Predictive modeling with available administrative data has been used as a strategy to match patients with appropriate interventions. Administrative data, however, can be plagued by problems of incompleteness and delays in processing. In this article, we examine the effects of these problems on the effectiveness of using administrative data to identify suitable candidates for disease management, and we evaluate various proposed solutions. We build prospective models using regression analysis and evaluate the resulting stratification algorithms using R² statistics, areas under receiver operator characteristic curves, and cost concentration ratios. We find delays in receipt of data reduce the effectiveness of the stratification algorithm, but the degree of compromise depends on what proportion of the population is targeted for intervention. Surprisingly, we find that supplementing partial data with a longer panel of more outdated data produces algorithms that are inferior to algorithms based on a shorter window of more recent data. Demographic data add little to algorithms that include prior claims data, and are an inadequate substitute when claims data are unavailable. Supplementing demographic data with additional information on self-reported health status improves the stratification performance only slightly and only when disease management is targeted to the highest risk patients. We conclude that the extra costs associated with surveying patients for health status information or retrieving older claims data cannot be justified given the lack of evidence that either improves the effectiveness of the stratification algorithm.

This study examines the effect of air quality and administrative policies on use of urban trails in Indianapolis, IN. Attention is focused on two policy variables: (1) issuance of air pollution advisories and (2) the adoption of Daylight Savings Time. Results suggest that while trail use varies with air quality, current public advisories regarding air pollution may be of limited effectiveness in reducing trail users’ exposures to hazardous pollutants. In contrast, the adoption of Daylight Savings Time was associated with a statistically significant increase in traffic levels.

Background : Disease management programs have grown in popularity over the past decade as a strategy to curb escalating healthcare costs for persons with chronic diseases. Objectives : To evaluate the effect of the Indiana Chronic Disease Management Program (ICDMP) on the longitudinal changes in Medicaid claims statewide. Research design : Phased implementation of a chronic disease management program in 3 regions of the state. Fourteen repeated cohorts of Medicaid members were drawn over a period of 3.5 years and the trends in claims were evaluated using a repeated measures model. Subjects : A total of 44,218 Medicaid members with diabetes and/or congestive heart failure in 3 geographic regions in Indiana. Results : Across all 3 regions and both disease classes, we found a flattening of cost trends between the pre- and post-ICDMP-initiation periods. This change in the slopes was significant for all of the models except for congestive heart failure in southern Indiana. Thus, the average per member claims paid was increasing at a faster rate before ICDMP but slowed once the program was initiated. To distinguish shorter and longer-term effects related to ICDMP, we estimated annual slopes within the pre- and post-ICDMP- time periods. A similar pattern was found in all regions: claims were increasing before ICDMP, flattened in the years around program initiation, and remained flat in the final year of follow-up. Conclusions : This analysis shows that the trend in average total claims changed significantly after the implementation of ICDMP, with a decline in the rate of increase in claims paid observed for targeted Medicaid program populations across the state of Indiana.

Evidence suggests that educational outreach ('academic detailing') improves evidence-based prescribing. We evaluated the impact of an academic detailing programme intended to increase new statin prescriptions.In a 2 x 2 factorial design we evaluated the effect of an academic detailing programme with/without telephonic care management for patients. Eligible patients were continuously enrolled Medicaid members at high risk for cardiovascular disease utilization who were not receiving statin medication in the 18 months prior to the intervention. All primary care prescribers assigned to these patients were randomized by clinic to academic detailing. Two trained nurses provided the detailing to prescribers, including specific discussion about the use of statins in this high-risk patient population. Nurses left the prescribers with a summary of clinical practice guidelines, a one-page detailing sheet and a list of patients under the care of the prescriber who were candidates for statins. The primary outcome was the incidence of a new statin prescription claim during the 6-month intervention period and the subsequent 6 months. Logistic regression models were used to estimate main effects of the interventions and to adjust for potential confounding variables in the study.Forty-eight clinics were randomized, effectively randomizing a total of 284 patients and 128 prescribers. Among the 284 patients, 46 (16%) received a new statin claim during the evaluation period. Controlling for significant bivariate associations, the academic detailing intervention had no significant effect on new statin prescriptions compared with the control group (odds ratio = 0.8, 95% confidence interval: 0.4-1.6, P = 0.5).Among this Medicaid population at high risk for cardiovascular events, an academic detailing programme to increase statin prescriptions was not effective. To assist others to learn from our failed effort, we identify and discuss critical elements in the design and implementation of the programme that could account for these results.

In 2003 the Indiana Office of Medicaid Policy and Planning implemented the Indiana Chronic Disease Management Program (ICDMP). This paper reports on the fiscal impact of the ICDMP from the state's perspective, as estimated from the outcomes of a randomized trial. Medicaid members with congestive heart failure (CHF) or diabetes, or both, were randomly assigned by practice site to chronic disease management services or standard care. The effect of the ICDMP varied by disease group and risk class: while cost savings were achieved in the CHF subgroup, disease management targeted to patients with only diabetes resulted in no significant fiscal impact.

The Indiana Chronic Disease Management Program (ICDMP) is intended to improve the quality and cost-effectiveness of care for Medicaid members with congestive heart failure (chronic heart failure), diabetes, asthma, and other conditions. The ICDMP is being assembled by Indiana Medicaid primarily from state and local resources and has seven components: (1) identification of eligible participants to create regional registries, (2) risk stratification of eligible participants, (3) nurse care management for high-risk participants, (4) telephonic intervention for all participants, (5) an Internet-based information system, (6) quality improvement collaboratives for primary care practices, and (7) program evaluation. The evaluation involves a randomized controlled trial in two inner-city group practices, as well as a statewide observational design. This article describes the ICDMP, highlights challenges, and discusses approaches to its evaluation.

The objective of this study was to compare the ability of risk stratification models derived from administrative data to classify groups of patients for enrollment in a tailored chronic disease management program.This study included 19,548 Medicaid patients with chronic heart failure or diabetes in the Indiana Medicaid data warehouse during 2001 and 2002.To predict costs (total claims paid) in FY 2002, we considered candidate predictor variables available in FY 2001, including patient characteristics, the number and type of prescription medications, laboratory tests, pharmacy charges, and utilization of primary, specialty, inpatient, emergency department, nursing home, and home health care.We built prospective models to identify patients with different levels of expenditure. Model fit was assessed using R statistics, whereas discrimination was assessed using the weighted kappa statistic, predictive ratios, and the area under the receiver operating characteristic curve.We found a simple least-squares regression model in which logged total charges in FY 2002 were regressed on the log of total charges in FY 2001, the number of prescriptions filled in FY 2001, and the FY 2001 eligibility category, performed as well as more complex models. This simple 3-parameter model had an R of 0.30 and, in terms in classification efficiency, had a sensitivity of 0.57, a specificity of 0.90, an area under the receiver operator curve of 0.80, and a weighted kappa statistic of 0.51.This simple model based on readily available administrative data stratified Medicaid members according to predicted future utilization as well as more complicated models.

We examine whether community mental health care centers (CMHCs) differ in their ability to serve at-risk populations, including clients with dual diagnoses for substance abuse, comorbid disabilities, and particularly severe functional impairment. Our analysis uses data from Indiana's public mental health system. Although at-risk clients experience, on average, worse outcomes than other clients, we find that some CMHCs achieve statistically significantly better outcomes than others. Although this information is useful to consumers and providers who wish to identify the most effective providers and treatment models for at-risk clients, it is not generated in standard performance assessments.

Objective Major depression is common in low-income and chronically ill persons and is a barrier for effective chronic disease care. We evaluated a Medicaid-sponsored strategy for detecting depressive symptoms in adults with diabetes or congestive heart failure. Methods Using a two-item screening tool, 890 adults enrolled in the Indiana Chronic Disease Management Program were assessed by telephone for depressive symptoms between December 2003 and March 2004. A subset of 386 participants also completed the eight-item Patient Health Questionnaire (PHQ-8) depression measure. Antidepressant use was examined using pharmacy claims. Results Depressed mood or anhedonia was reported by 51% of participants. About one in four participants had a PHQ-8 score indicating a high risk for major depression (score ≥10). The two-item screen was 96% sensitive [95% confidence interval (CI), 89–99%] and 60% specific (95% CI, 54–65%) for identifying members at high risk for depression by the full PHQ-8 instrument. Only half of participants with high-risk PHQ-8 scores had a pharmacy claim indicating that an antidepressant medication was filled within 120 days of the depression screening. Conclusions A two-stage, telephonic approach involving the PHQ-8 instrument for Medicaid members with either depressed mood or anhedonia could identify two clinically depressed persons for every nine members screened.

Objective: The objective of this study was to determine the effect of patient socioeconomic characteristics and center selection of patients on measured performance of community mental health centers. Data Source/Study Setting: Data were taken from the administrative records of Indiana's public mental health system for 16,516 adults with severe, persistent mental illness treated in 30 community mental health centers. Center performance was compared using longitudinal information on patient functioning. Methods: A mixed random-effects model that is suitable for fitting data with a hierarchical structure was used to assess relative performance. Principal Findings: Measured performance was found to depend significantly on patient education, income, marital status, race, ethnicity, and baseline health (P

Chronic illness in a family member can cause emotional distress throughout the family, and may impair the family's ability to support the patient.We compare the familial impact of mental illness to other common chronic conditions. We examine the impact of a person's chronic illness on the psychological health of all persons in his or her family and identify both individual and family-level risk factors associated with psychological spillovers.Our analysis is based on data from the 1996 Medical Expenditure Panel Survey (MEPS) that, because of its sample design, can be used to model both individual and family health status. Psychological distress is measured using responses to the general mental health question for each family member. The chronic conditions considered include cancer, diabetes, stroke-related disorders, arthritis, asthma, and mental illness (including dementia). We estimate the relationships of interest using a semi-parametric method, the discrete random effects probit model.Brain-related conditions, including mental illness, impose the most significant risk to the psychological well-being of family members. The effects of the other chronic conditions studied, while not as significant, are notable in that their negative impacts on the psychological health of family members are sometimes larger than their direct psychological impacts on the patient. Economic distress not only directly increases the chance that an individual will experience emotional distress, but it appears it also reduces the family's ability as a whole to cope psychologically with chronic illness.Our analysis suffers from problems common to all cross-sectional designs, although the impact of selection bias appeared to be small in sensitivity analysis. While health conditions were based on unverified self-reports, condition categories were broadly defined to reduce the required precision of such reports.Because psychological distress is fairly contagious in families confronted with chronic illness, effective treatment strategies may need to be targeted to all members of the primary patient's family. Providers should be particularly vigilant for intra-family effects when their patients come from families that lack the financial resources that might protect against the stress of caring for a family member with a chronic illness.Results suggest that, of the chronic conditions considered, priority for respite care and supportive services should be given to families in which a member has a brain-related disorder, particularly in families with limited financial resources and inadequate insurance coverage.The use of the discrete random effects probit model identified important interpersonal health effects that could not have been detected with standard analytical methods. The potential clinical relevance of the resulting findings underlies the need for additional data collection efforts that, like the MEPS, consider individuals in a family context.

OBJECTIVE: Utilities for the outcome states of colorectal cancer (CRC) must be measured to evaluate the cost-utility of screening and surveillance strategies for this disease. We sought to measure utilities for stage-dependent outcome states of CRC. METHODS: We identified persons who had previously undergone removal of colorectal adenoma. We conducted individual interviews in which these participants were presented with stage-dependent outcome states and were asked to assess utilities for them using the standard gamble technique. RESULTS: A total of 90 participants were interviewed; nine were excluded, leaving 81 for analysis. We obtained the following utility valuations: stage I rectal or stage I/II colon cancer (mean 0.74, median 0.75); stage III colon cancer (mean 0.67, median 0.75); stage II/III rectal cancer without ostomy (mean 0.59, median 0.60), stage II/III rectal cancer with ostomy (mean 0.50, median 0.55), stage IV rectal or colon cancer (mean 0.25, median 0.20). These valuations were statistically different from each other. CONCLUSIONS: We measured utilities for stage-dependent outcome states of CRC in a sample of persons who had previously undergone removal of colorectal adenoma. We found that our participants were able to differentiate between the presented outcome states and assigned lower utility to increasingly morbid states. Our results show that stage-dependent morbidity is an important consideration in CRC and should be incorporated into any decision analysis model evaluating the cost-effectiveness of CRC screening or surveillance.

Objective: Utilities for the outcome states of colorectal cancer must be measured to evaluate the cost-utility of screening and surveillance strategies for this disease. We sought to identify these outcome states, define their associated areas of morbidity, and construct representative descriptions of them for use in a utilities assessment instrument. Methods: We identified candidate colorectal cancer outcome states based on a review of the literature and interviews with health care professionals. We organized patient focus groups from each of the candidate outcome states to examine their homogeneity and define their associated areas of morbidity. After analyzing the focus group transcripts, we identified and described outcome states of colorectal cancer for future incorporation into a utilities assessment instrument. Results: Six candidate outcome states of colorectal cancer were identified based on disease stage and location at diagnosis. Thirty-eight patients then participated in six focus groups. Analysis of the focus group transcripts revealed seven areas of morbidity associated with colorectal cancer. These areas included problems with social interaction and cognition, fear of cancer recurrence, pain, fatigue, changes in bowel habits, and sexual dysfunction. Based on differences in the intensity and frequency of the symptoms reported in each of these areas, seven distinct outcome states of colorectal cancer were identified and described. Conclusion: Clinically distinct outcome states of colorectal cancer are determined by the stage and location of the cancer at the time of diagnosis. Descriptions of these outcome states were created using data collected from patient focus groups. These descriptions can be incorporated into a utilities assessment instrument.

Short term health effects can significantly impact health-related quality of life (HR-QOL). Appropriate healthcare priorities can be set only if they are based on health status measurements which are consistent with how people value both short and long term health effects. This article discusses methods by which such health effects may be measured using health state utilities. The standard discounted quality-adjusted life-year model, in which the values of the various health states are weighted by the time spent in each state, generally fails to capture the true impact of temporary ill health on HR-QOL. Instead, a scenario approach is recommended in which valuations are based on holistic descriptions of health states which include all short and long term health effects experienced.

BACKGROUND: As downsizing of institutional care continues, patients discharged are likely to have more severe mental illnesses, and to have experienced longer tenures within institutions than patients who have been discharged in the past. As greater numbers of patients are removed from mental hospitals, the objective burden experienced by informal care-givers may increase, particularly if formal care levels are inadequate. AIMS OF THE STUDY: This paper documents who assumes informal care-giver roles, and the form such care-giving takes for patients discharged from a state hospital. Specifically, this paper identifies (i) what factors affect a person's decision to assume a care-giver role, including the participation of other network members in care-giving, (ii) what factors influence whether care-giving is provided in time or in direct purchase of care and (iii) how the patient's treatment location affects the decision of the network member to assume any care-giving role. DATA AND ANALYTICAL METHODS: Data for this paper are taken from a longitudinal study of the closure of a state mental hospital in central Indiana. Seventy-seven patients were asked to identify their community networks. Ninety-eight network members were surveyed about the informal care, both in time or through direct expenditures, they provided to these patients one year after discharge. Care-giving relationships were estimated using a multivariate probit model. Such a model estimates the extent to which the decision to provide care in either form depends on the care-giving activities assumed by other network members associated with a given patient, as well as the characteristics of individual patients and network members. RESULTS: Forty-one per cent of network members provided some level of informal care, with 13.3% providing some care in time, and 35.7% providing some care through direct expenditures. A positive relationship was found between participation in informal care-giving and the perception by the network member that patient needs were not being met by professionals. The decision to provide informal care was also found to be sensitive to the level of informal and formal care received by the patient. Care-giving in expense was found to be positively related to the care-giving decisions of other informal care-givers, but care-giving in time was not. Network members were more likely to provide care in time for patients who had been recently discharged to the community than for patients who remained in institutional settings. CONCLUSIONS: These results suggest the transfer of persons with severe mental illnesses from state hospitals to the community may shift the care burden between formal and informal providers. If this is the case, discharge criteria should include such factors as the community resources available to the patient. IMPLICATIONS FOR HEALTH CARE PROVISION AND USE: The responsiveness of network members to perceived unmet need bespeaks the importance of informal care when the continuity of formal care cannot be assured. Findings also suggest there may be some substitution of formal and informal care when patients are discharged from institutions. Further analysis is required to determine whether network members' perceptions of unmet need are accurate, and means by which network members can be made better attuned to unmet needs actually experienced by patients.

This paper examines how values should be assigned to health states when policy decisions must be made about who should receive treatment. The paper demonstrates that, if priority were to be assigned to those people who would benefit most from treatment, standard health-state utilities might fail to identify resource allocations that would maximize total health-related well-being in society. A new measurement instru ment is proposed that is based on the direct comparison of the well-being achieved by different people in various health states and thus captures such community priori ties. A sample of 72 health administration students used the instrument to evaluate speech and mobility dysfunctions as they afflicted hypothetical people who differed by gender, family status, and occupational type. This preliminary analysis indicates that the instrument is feasible to use, and that the valuations of respondents did, for some health conditions, significantly depend on the type of person afflicted. Key words: util ities ; interpersonal comparisons; ethics; health policy; extended-sympathy instrument. (Med Decis Making 1997;17:10-20)

This article assesses the relative cost of providing a specific procedure, knee replacement (KR) surgery, to rural residents in rural community-based hospitals rather than in urban hospitals. Costs are predicted using regression analysis with readily available data from Health Care Financing Administration's Medicare Provider Analysis and Review. The specification incorporates the effect of referral patterns on volume and the subsequent impact on costs in the different settings. The predicted cost per case was found to be lower in rural rather than urban hospitals across all patient types. Findings indicate scale economies exist for KR surgery in both the urban and rural hospital settings. Results also suggest the total cost of a hospitalization associated with KR surgery in rural hospitals is more sensitive to changes in procedure volume than in urban hospitals, providing preliminary support for increased regionalization of KR surgery in rural hospitals. While long-term outcome measures associated with successful KR surgery (improved function, reduced pain, etc.,) are not available, mortality rates and perisurgical complication rates were not significantly different between rural patients who received KR surgery in rural hospitals and those who received KR surgery in urban hospitals. Among rural hospitals, however, complication rates were significantly correlated with procedure volume (complication rates were significantly lower in rural hospitals that performed more than nine KR surgeries a year). Our results suggest KR surgery can be delivered efficiently in rural community-based settings and support the case for regionalization of this procedure. Key words: rural hospital; hospital cost; economics of scale; regionalization.

The Dartmouth Primary Care Cooperative Information Project (COOP) charts and mini-Duke-UNC Health Profile (DUHP) instruments were developed to screen patients' health status in clinical settings. The purpose of this study is to determine patient preferences for use of these instruments in a family practice setting. A sample of 203 consecutive, consenting patients presenting to a university-based family practice clinic was administered both instruments. Patients then completed a questionnaire which asked which instrument was preferred and why. Overall, neither instrument was significantly preferred by patients. Patient perceived accuracy for the COOP was significantly positively related to age and negatively related to quality of life. Patient ease, rather than perceived accuracy, dominated the preference relationship, yet neither instrument was found to be easier to use by the elderly or those in poorer health. This study reveals that patients prefer instruments which are easier to use, but that neither the COOP nor the mini-DUHP was found to be significantly easier to use by all patients. However, the COOP was perceived to be more accurate for a subset of patients, the elderly with poor quality of life beyond the realm of health.