The relationship between preventive dental care and overall medical expenditures

OBJECTIVES

To examine the relationship between preventive dental visits (PDVs) and medical expenditures while mitigating bias from unobserved confounding factors.

STUDY DESIGN

Retrospective data analysis of Indiana Medicaid enrollment and claims data (2015-2018) and the Area Health Resources Files.

METHODS

An instrumental variable (IV) approach was used to estimate the relationship between PDVs and medical and pharmacy expenditures among Medicaid enrollees. The instrument was defined as the number of adult enrollees with at least 1 nonpreventive dental claim per total Medicaid enrollees within a Census tract per year.

RESULTS

In naive analyses, enrollees had on average greater medical expenditures if they had a prior-year PDV (β = $397.21; 95% CI, $184.23-$610.18) and a PDV in the same year as expenditures were measured (β = $344.81; 95% CI, $193.06-$496.56). No significant differences in pharmacy expenditures were observed in naive analyses. Using the IV approach, point estimates of overall medical expenditures for the marginal enrollee who had a prior-year PDV (β = $325.17; 95% CI, -$708.03 to $1358.37) or same-year PDV (β = $170.31; 95% CI, -$598.89 to $939.52) were similar to naive results, although not significant. Our IV approach indicated that PDV was not endogenous in some specifications.

CONCLUSIONS

This is the first study to present estimates with causal inference from a quasi-experimental study of the effect of PDVs on overall medical expenditures. We observed that prior- or same-year PDVs were not related to overall medical or pharmacy expenditures.

The INGENIOUS trial: Impact of pharmacogenetic testing on adverse events in a pragmatic clinical trial

Adverse drug events (ADEs) account for a significant mortality, morbidity, and cost burden. Pharmacogenetic testing has the potential to reduce ADEs and inefficacy. The objective of this INGENIOUS trial (NCT02297126) analysis was to determine whether conducting and reporting pharmacogenetic panel testing impacts ADE frequency. The trial was a pragmatic, randomized controlled clinical trial, adapted as a propensity matched analysis in individuals (N = 2612) receiving a new prescription for one or more of 26 pharmacogenetic-actionable drugs across a community safety-net and academic health system. The intervention was a pharmacogenetic testing panel for 26 drugs with dosage and selection recommendations returned to the health record. The primary outcome was occurrence of ADEs within 1 year, according to modified Common Terminology Criteria for Adverse Events (CTCAE). In the propensity-matched analysis, 16.1% of individuals experienced any ADE within 1-year. Serious ADEs (CTCAE level ≥ 3) occurred in 3.2% of individuals. When combining all 26 drugs, no significant difference was observed between the pharmacogenetic testing and control arms for any ADE (Odds ratio 0.96, 95% CI: 0.78-1.18), serious ADEs (OR: 0.91, 95% CI: 0.58-1.40), or mortality (OR: 0.60, 95% CI: 0.28-1.21). However, sub-group analyses revealed a reduction in serious ADEs and death in individuals who underwent pharmacogenotyping for aripiprazole and serotonin or serotonin-norepinephrine reuptake inhibitors (OR 0.34, 95% CI: 0.12-0.85). In conclusion, no change in overall ADEs was observed after pharmacogenetic testing. However, limitations incurred during INGENIOUS likely affected the results. Future studies may consider preemptive, rather than reactive, pharmacogenetic panel testing.

Does preventive dental care reduce nonpreventive dental visits and expenditures among Medicaid-enrolled adults?

OBJECTIVE

To determine whether preventive dental visits are associated with fewer subsequent nonpreventive dental visits and lower dental expenditures.

DATA SOURCES

Indiana Medicaid enrollment and claims data (2015-2018) and the Area Health Resource File.

STUDY DESIGN

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.

DATA COLLECTION/EXTRACTION METHODS

Not applicable.

PRINCIPAL FINDINGS

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).

CONCLUSIONS

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.

Prevalence of and factors associated with unmet dental need among the US adult population in 2016

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 US 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 (ie 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.

CONCLUSIONS

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.

Enrollment of Diverse Populations in the INGENIOUS Pharmacogenetics Clinical Trial

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.

Effect on Health Care Expenditures During Nationwide Implementation of the Diabetes Prevention Program as a Health Insurance Benefit

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.

Drug-gene and drug-drug interactions associated with tramadol and codeine therapy in the INGENIOUS trial

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.

Graduation and Academic Placement of Underrepresented Racial/Ethnic Minority Doctoral Recipients in Public Health Disciplines, United States, 2003-2015

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.

Medication Exposure Patterns in Primary Care Patients Prescribed Pharmacogenetically Actionable Opioids

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.

Employment Trends Among Public Health Doctoral Recipients, 2003-2015

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.

Opportunities to implement a sustainable genomic medicine program: lessons learned from the IGNITE Network

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 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.

Conclusion

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.

Interdisciplinary Dissertation Research Among Public Health Doctoral Trainees, 2003-2015

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.

CYP2D6 drug-gene and drug-drug-gene interactions among patients prescribed pharmacogenetically actionable opioids

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.

Lessons Learned When Introducing Pharmacogenomic Panel Testing into Clinical Practice

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.

Implementation of a pharmacogenomics consult service to support the INGENIOUS trial

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.

Designing a natural experiment to evaluate a national health care-community partnership to prevent type 2 diabetes

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.

Can lay health workers promote better medical self-management by persons living with HIV? An evaluation of the Positive Choices program

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 (<50 copies/mL, OR = 2.01, 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.

Case finding with incomplete administrative data: observations on playing with less than a full deck

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.

The structure and content of telephonic scripts found useful in a Medicaid Chronic Disease Management Program

In 2003, the Indiana Office of Medicaid Policy and Planning launched the Indiana Chronic Disease Management Program (ICDMP), a programme intended to improve the health and healthcare utilization of 15,000 Aged, Blind and Disabled Medicaid members living with diabetes and/or congestive heart failure in Indiana. Within ICDMP, programme components derived from the Chronic Care Model and education based on an integrated theoretical framework were utilized to create a telephonic care management intervention that was delivered by trained, non-clinical Care Managers (CMs) working under the supervision of a Registered Nurse. CMs utilized computer-assisted health education scripts to address clinically important topics, including medication adherence, diet, exercise and prevention of disease-specific complications. Employing reflective listening techniques, barriers to optimal self-management were assessed and members were encouraged to engage in health-improving actions. ICDMP evaluation results suggest that this low-intensity telephonic intervention shifted utilization and lowered costs. We discuss this patient-centred method for motivating behaviour change, the theoretical constructs underlying the scripts and the branched-logic format that makes them suitable to use as a computer-based application. Our aim is to share these public-domain materials with other programmes.

Ambient air conditions and variation in urban trail use

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.

Opportunities for the replacement of animals in the study of nausea and vomiting

Nausea and vomiting are among the most common symptoms encountered in medicine as either symptoms of disease or side effects of treatments. Developing novel anti-emetics and identifying emetic liability in novel chemical entities rely on models that can recreate the complexity of these multi-system reflexes. Animal models (especially the ferret and dog) are the current gold standard; however, the selection of appropriate models is still a matter of debate, especially when studying the subjective human sensation of nausea. Furthermore, these studies are associated with animal suffering. Here, following a recent workshop held to review the utility of animal models in nausea and vomiting research, we discuss the limitations of some of the current models in the context of basic research, anti-emetic development and emetic liability detection. We provide suggestions for how these limitations may be overcome using non-animal alternatives, including greater use of human volunteers, in silico and in vitro techniques and lower organisms.

An evaluation of educational outreach to improve evidence-based prescribing in Medicaid: a cautionary tale

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 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.

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.

The Indiana Chronic Disease Management Program

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.

Indiana chronic disease management program risk stratification analysis

OBJECTIVE

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.

SUBJECTS

This study included 19,548 Medicaid patients with chronic heart failure or diabetes in the Indiana Medicaid data warehouse during 2001 and 2002.

MEASURES

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.

METHODS

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.

RESULTS

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.

CONCLUSION

This simple model based on readily available administrative data stratified Medicaid members according to predicted future utilization as well as more complicated models.

Telephonic case-finding of major depression in a Medicaid chronic disease management program for diabetes and heart failure

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 >or=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.

Adjusting for Patient Characteristics and Selection Effects in Assessment of Community Mental Health Centers

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<0.05). Results also indicated centers that were more successful at maintaining patients in treatment were unfairly underranked by unadjusted performance scores.

CONCLUSIONS

Both the socioeconomic background of patients and patient selection by centers impact apparent performance in community mental health care. If observational data are used to evaluate community-based providers, analysts might need to account for both effects to ensure comparisons of relative performance are accurate.

Performance assessment in community mental health care and at-risk populations

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.

Significance of plasma N-terminal pro-brain natriuretic peptide in patients with systemic sclerosis-related pulmonary arterial hypertension

OBJECTIVES

A single centre pilot study to investigate the role of the plasma N-terminal pro-brain natriuretic peptide (N-T proBNP) assay to risk stratify patients with suspected pulmonary arterial hypertension (PAH) from a background SSc population.

METHODS

Out of 49 SSc patients, 23 had and 26 did not have PAH. Right ventricular haemodynamic variables, six-minute walk test and plasma N-T proBNP levels were recorded from patients catheterised for suspected PAH (23 with PAH and 11/26 without PAH).

RESULTS

Mean value of N-T proBNP for SSc patients with PAH was 3365 (standard error 1095) pg/ml compared to 347 (174) pg/ml for patients without PAH. There was a statistically significant correlation (P < 0.05) between N-T proBNP values and (i) mean pulmonary artery pressure (r = 0.53), (ii) right ventricular end diastolic pressure (r = 0.59) and (iii) pulmonary vascular resistance (r = 0.49). Receiver operator characteristic curve analysis showed that a cut-off value of 395.34 pg/ml had a sensitivity of 0.69 and specificity of 1.0.

CONCLUSIONS

N-T proBNP estimation in systemic sclerosis-related pulmonary hypertension is a potentially useful diagnostic tool with a high specificity and negative predictive value. This test has the potential to have an important role in risk stratification and monitoring of therapy in the future.

The effect of chronic illness on the psychological health of family members

BACKGROUND

Chronic illness in a family member can cause emotional distress throughout the family, and may impair the family's ability to support the patient.

OBJECTIVES

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.

METHODS

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.

RESULTS

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.

DISCUSSION

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.

IMPLICATIONS FOR HEALTH CARE PROVISION AND USE

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.

IMPLICATIONS FOR HEALTH POLICIES

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.

IMPLICATIONS FOR FURTHER RESEARCH

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.

What should be reported in a methods section on utility assessment?

BACKGROUND

The measurement of utilities, or preferences, for health states may be affected by the technique used. Unfortunately, in papers reporting utilities, it is often difficult to infer how the utility measurement was carried out.

PURPOSE

To present a list of components that, when described, provide sufficient detail of the utility assessment.

METHODS

An initial list was prepared by one of the authors. A panel of 8 experts was formed to add additional components. The components were drawn from 6 clusters that focus on the design of the study, the administration procedure, the health state descriptions, the description of the utility assessment method, the description of the indifference procedure, and the use of visual aids or software programs. The list was updated and redistributed among a total of 14 experts, and the components were judged for their importance of being mentioned in a Methods section.

RESULTS

More than 40 components were generated. Ten components were identified as necessary to include even in an article not focusing on utility measurement: how utility questions were administered, how health states were described, which utility assessment method(s) was used, the response and completion rates, specification of the duration of the health states, which software program (if any) was used, the description of the worst health state (lower anchor of the scale), whether a matching or choice indifference search procedure was used, when the assessment was conducted relative to treatment, and which (if any) visual aids were used. The interjudge reliability was satisfactory (Cronbach's alpha = 0.85).

DISCUSSION

The list of components important for utility papers may be used in various ways, for instance, as a checklist while writing, reviewing, or reading a Methods section or while designing experiments. Guidelines are provided for a few components.

Fibroblast matrix gene expression and connective tissue remodeling: role of endothelin-1

This study examines endothelin-induced modulation of extracellular matrix synthesis and remodeling by fibroblasts, and its potential role in the pathogenesis of systemic sclerosis (scleroderma). Endothelin-1 promoted fibroblast synthesis of collagen types I and III, but not fibronectin, by a mechanism dependent upon both ETA and ETB receptors. Conversely, endothelin-1 inhibited both protein expression of matrix metalloproteinase 1 and zymographic activity exclusively via ETA receptors. A dual regulatory role for endothelin-1 in transcriptional regulation was suggested by the ability of endothelin-1 to enhance steady-state levels of collagen mRNA and activate the proalpha2(I) collagen (Col1a2) promoter, but in contrast to reduce matrix metalloproteinase 1 transcript expression and suppress transcription of a human matrix metalloproteinase 1 promoter reporter construct in transient transfection assays. Although endothelin-1 significantly enhanced remodeling of three-dimensional collagen lattices populated by normal fibroblasts, this was not observed for lattices populated by systemic sclerosis fibroblasts. Promotion of matrix remodeling was dependent upon ETA receptor expression and was blocked by specific inhibitors of tyrosine kinases or protein kinase C. Reverse transcriptase polymerase chain reaction, S1 nuclease, and functional cell surface binding studies showed that normal and systemic sclerosis fibroblasts express both ETA and ETB receptors (predominantly ETA), but that ETA receptor mRNA levels and ETA binding sites on fibroblasts cultured from systemic sclerosis skin biopsies are reduced by almost 50%. Endothelin-1 is thus able to induce a fibrogenic phenotype in normal fibroblasts that is similar to that of lesional systemic sclerosis fibroblasts. Moreover, reduced responsiveness to exogenous endothelin-1 in systemic sclerosis suggests that downstream pathways may have already been activated in vivo. These data further implicate dysregulated endothelin-receptor pathways in fibroblasts in the pathogenesis of connective tissue fibrosis.

Crystallization of agGST1-6, a recombinant glutathione S-transferase from a DDT-resistant strain of Anopheles gambiae

Glutathione S-transferases (GSTs) belong to a family of detoxification enzymes that conjugate glutathione to various xenobiotics, thus facilitating their expulsion from the cell. GST activity is elevated in many insecticide-resistant insects, including the DDT-resistant malaria vector Anopheles gambiae. Crystals of the recombinant form of a GST from A. gambiae, agGST1-6, have been grown in at least five different crystal forms, with a broad range of diffraction resolution limits. A complete 2.0 A data set has been collected on a C-centered orthorhombic crystal form with unit-cell parameters a = 99.0, b = 199.4, c = 89.6 A. A search for heavy-atom derivatives has been initiated, along with phase-determination efforts by molecular replacement.

Estimates of use and costs of behavioural health care: a comparison of standard and finite mixture models

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.

Particle clearance and histopathology in lungs of C3H/HeJ mice administered beryllium/copper alloy by intratracheal instillation

Beryllium/copper (BeCu) alloys are commonly used in the electronics, automotive, consumer, defense, and aerospace industries. Some individuals exposed occupationally to BeCu alloys have developed chronic beryllium disease. However, little is known of the toxicity and fate of BeCu alloys in the respiratory tract. To begin to address this question, we investigated the pulmonary toxicity and clearance of BeCu alloy (2% Be; 98% Cu) in mice. Groups of 40 female C3H/HeJ mice were administered 12.5, 25, and 100 microg BeCu alloy or 2 and 8 microg Be metal by intratracheal instillation. Mice were sacrificed at 1 h and 1, 7, 14, and 28 days postinstillation. Left lungs were evaluated for histopathological change. Right lungs were analyzed for Be and Cu content. Twenty-five percent of the high-dose BeCu mice and 7.5% of the mid-dose BeCu mice died within 24 h of dosing. Acute pulmonary lesions included acute alveolitis and interstitial inflammation. Type II epithelial cell hyperplasia and centriacinar fibrosis were present by 7 days after dosing. Lesions persisted through 28 days after instillation. No lesions attributable to alloy exposure were present in liver or kidney. Be metal instillation caused no deaths and minimal pulmonary changes over the time studied, indicating that the pulmonary lesions were due to Cu rather than Be. Cu cleared the lung with a half-time of 0. 5-2 days. Be cleared with a half-time of several weeks or longer. Results of this study suggest that exposure to BeCu alloy is more acutely toxic to lung than Be metal. The results of tissue analyses also indicate that, while the Cu component of the alloy clears the lung rapidly, Be is retained and may accumulate upon repeated exposure.

Cost-utility of one-time colonoscopic screening for colorectal cancer at various ages

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 <60 yr and in women age <65 yr dominates never screening and screening at older ages. For both sexes, one-time colonoscopic screening between 50 and 54 yr of age is associated with a marginal cost-utility of less than $10,000 per additional quality-adjusted life-year compared to screening between 55 and 60 yr of age. One-time colonoscopic screening between 45 and 49 yr of age is either dominated (women) or associated with a marginal cost-utility of $69,000/per quality-adjusted life-year (men) compared to screening between 50 and 54 yr of age. The marginal cost-utility of one-time colonoscopic screening is relatively insensitive to plausible changes in the cost of colonoscopy, the cost of CRC treatment, the sensitivity of colonoscopy for colorectal neoplasia, the utility values representing the morbidity associated with the CRC-related health states, and the discount rate.

CONCLUSIONS

One-time colonoscopic screening between 50 and 54 yr of age is cost-effective compared to no screening and screening at older ages in both men and women. Screening in men between 45 and 49 yr of age may be cost-effective compared to screening between 50 and 54 yr of age depending on societal willingness to pay.

Utility valuations for outcome states of colorectal cancer

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.

Double-strand break repair in yeast requires both leading and lagging strand DNA polymerases

Mitotic double-strand break (DSB)-induced gene conversion at MAT in Saccharomyces cerevisiae was analyzed molecularly in mutant strains thermosensitive for essential replication factors. The processivity cofactors PCNA and RFC are essential even to synthesize as little as 30 nucleotides following strand invasion. Both PCNA-associated DNA polymerases delta and epsilon are important for gene conversion, though a temperature-sensitive Pol epsilon mutant is more severe than one in Pol delta. Surprisingly, mutants of lagging strand replication, DNA polymerase alpha (pol1-17), DNA primase (pri2-1), and Rad27p (rad27 delta) also greatly inhibit completion of DSB repair, even in G1-arrested cells. We propose a novel model for DSB-induced gene conversion in which a strand invasion creates a modified replication fork, involving leading and lagging strand synthesis from the donor template. Replication is terminated by capture of the second end of the DSB.

Provider choice and use of mental health care: implications for gatekeeper models

OBJECTIVE

To examine the ways in which the costs of nonresidential mental health care depend on (1) the type of provider who initiates the treatment episode and (2) the level of cost sharing imposed on the patient.

STUDY SETTING

The 1987 National Medical Expenditure Survey, a national probability sample of the U.S. civilian, noninstitutionalized population.

DATA COLLECTION

Data were collected during four personal interviews conducted during 1987 and 1988. Key variables include the type of provider contacted at the beginning of treatment (psychiatrist, other physician, nonmedical mental health care specialist) and the cost (total actual payments from all sources) for the treatment episode.

METHODS OF ANALYSIS

An episodic model of demand for mental health care is estimated using a two-step procedure. Multinomial probit analysis is first used to determine the factors that influence the choice of initial provider type. Right-censored Tobit analysis is used to determine the factors that affect the costs of care, including the type of provider who initiates the care episode.

PRINCIPAL FINDINGS

Results indicate that out-of-pocket price does significantly (p < .05) affect the patient's initial choice of provider type but that, after controlling for the endogeneity of provider choice, price is no longer significant in explaining overall treatment costs. After controlling for selection effects, care episodes initiated by nonspecialist physicians are found to be as expensive as those initiated by psychiatrists and significantly more expensive than episodes initiated by nonphysicians.

CONCLUSIONS

The results suggest that nonmedical mental health care specialists may be more effective than physicians in controlling costs when used as case managers in the care of persons with mental illnesses.

The formal mental health care burden among recently deinstitutionalized patients

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.

Factors influencing informal care-giving

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.

Substitution of physicians and other providers in outpatient mental health care

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.

Measurement of short term health effects in economic evaluations

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.