Journal of Mental Health Policy and Economics最新文献

Background: Policymakers frequently mandate that employers or insurers provide insurance benefits deemed to be critical to individuals' well-being. However, in the presence of private market imperfections, mandates that increase demand for a service can lead to price increases for that service, without necessarily affecting the quantity being supplied. We test this idea empirically by looking at mental health parity mandates.

Objective: This study evaluated whether implementation of parity laws was associated with changes in mental health provider wages.

Method: Quasi-experimental analysis of average wages by state and year for six mental health care-related occupations were considered: Clinical, Counseling, and School Psychologists; Substance Abuse and Behavioral Disorder Counselors; Marriage and Family Therapists; Mental Health Counselors; Mental Health and Substance Abuse Social Workers; and Psychiatrists. Data from 1999-2013 were used to estimate the association between the implementation of state mental health parity laws and the Paul Wellstone and Pete Domenici Mental Health Parity and Addiction Equity Act and average mental health provider wages.

Results: Mental health parity laws were associated with a significant increase in mental health care provider wages controlling for changes in mental health provider wages in states not exposed to parity (3.5 percent [95% CI: 0.3%, 6.6%]; p<.05).

Discussion: Mental health parity laws were associated with statistically significant but modest increases in mental health provider wages.

Implications: Health insurance benefit expansions may lead to increased prices for health services when the private market that supplies the service is imperfect or constrained. In the context of mental health parity, this work suggests that part of the value of expanding insurance benefits for mental health coverage was captured by providers. Given historically low wage levels of mental health providers, this increase may be a first step in bringing mental health provider wages in line with parallel health professions, potentially reducing turnover rates and improving treatment quality.

Objectives: This study investigates the association between eating out and depressive symptoms among elderly people. Potential mediators that may link to elderly eating out and depressive symptoms are also discussed.

Methods: A unique dataset of 1,184 individuals aged 65 and older was drawn from the National Health and Nutrition Survey in 2008 in Taiwan. A bivariate probit model and an instrumental variable probit model were estimated to account for correlated, unmeasured factors that may be associated with both the decision and frequency of eating out and depressive symptoms in the elderly. An additional analysis is conducted to check whether the nutrient intakes and body weights can been seen as mediators that link the association between eating out and depressive symptoms of the elderly.

Results: Elderly people who eat out are 38 percent points more likely to have depressive symptoms than their counterparts who do not eat out, after controlling for socio-demographic characteristics and other factors. A positive association between the frequency of eating out and the likelihood of having depressive symptoms of the elderly is also found. It is evident that one addition meal away from home is associated with an increase of the likelihood of being depressed by 3.8 percentage points. With respect to the mediations, we find that nutrient intakes and body weight are likely to serve as mediators for the positive relationship between eating out and depressive symptoms in the elderly.

Conclusion: Our results show that elderly who eat out have a higher chance of having depressive symptoms. To prevent depressive symptoms in the elderly, policy makers should be aware of the relationship among psychological status, physical health and nutritional health when assisting the elderly to better manage their food consumption away from home.

Limitations and implications for future research: Our study have some caveats. First, the interpretation of our results on the causality issue calls for caution in that our analysis relies on a cross-sectional survey. Second, other measures to define elderly depression, such as the Center for Epidemiological Studies-Depression (CES-D) score, can be used to check the robustness of our findings. Finally, the availability of food outlets in the local area and family characteristics are possibly associated with food away from home of the elderly. If data permit, the relationship between eating out and elderly depressive symptoms can be better identified after controlling for variables related to food facilities and family characteristics.

Background: Despite limited resources in mental health care, there is little research exploring variations in cost performance across mental health care providers. In England, a prospective payment system for mental health care based on patient needs has been introduced with the potential to incentivise providers to control costs. The units of payment under the new system are 21 care clusters. Patients are allocated to a cluster by clinicians, and each cluster has a maximum review period.

Aims of the study: The aim of this research is to explain variations in cluster costs between mental health providers using observable patient demographic, need, social and treatment variables. We also investigate if provider-level variables explain differences in costs. The residual variation in cluster costs is compared across providers to provide insights into which providers may gain or lose under the new financial regime.

Methods: The main data source is the Mental Health Minimum Data Set (MHMDS) for England for the years 2011/12 and 2012/13. Our unit of observation is the period of time spent in a care cluster and costs associated with the cluster review period are calculated from NHS Reference Cost data. Costs are modelled using multi-level log-linear and generalised linear models. The residual variation in costs at the provider level is quantified using Empirical Bayes estimates and comparative standard errors used to rank and compare providers.

Results: There are wide variations in costs across providers. We find that variables associated with higher costs include older age, black ethnicity, admission under the Mental Health Act, and higher need as reflected in the care clusters. Provider type, size, occupancy and the proportion of formal admissions at the provider-level are also found to be significantly associated with costs. After controlling for patient- and provider-level variables, significant residual variation in costs remains at the provider level.

Discussion and limitations: The results suggest that some providers may have to increase efficiency in order to remain financially viable if providers are paid national fixed prices (tariffs) under the new payment system. Although the classification system for payment is not based on diagnosis, a limitation of the study is the inability to explore the effect of diagnosis due to poor coding in the MHMDS.

Implications for health care provision and use: We find that some mental health care providers in England are associated with higher costs of provision after controlling for characteristics of service users and providers. These higher costs may be associated with higher quality care or with inefficient provision of care.

Implications for health policies: The introduction of a national tariff is likely to provide a strong incentive to reduce costs

Background: Panic disorder with agoraphobia (PDA) and generalized anxiety disorder (GAD) are impairing and costly disorders that are often misdiagnosed and left untreated despite multiple consultations. These disorders frequently co-occur, but little is known about the costs associated with their comorbidity and the impact of cognitive-behavioral therapy (CBT) on cost reduction.

Aims of the study: The first objective of this study was to assess the mental health-related costs associated with the specific concomitance of PDA and GAD. The second aim was to determine whether there is a reduction in direct and indirect mental health-related costs following conventional CBT for the primary disorder only (PDA or GAD) or combined CBT adapted to the comorbidity (PDA and GAD).

Methods: A total of 123 participants with a double diagnosis of PDA and GAD participated in this study. Direct and indirect mental health-related costs were assessed and calculated from a societal perspective at the pre-test, the post-test, and the three-month, six-month and one-year follow-ups.

Results: At the pre-test, PDA-GAD comorbidity was found to generate a mean total cost of CADUSD 2,000.48 (SD = USD 2,069.62) per participant over a three-month period. The indirect costs were much higher than the direct costs. Both treatment modalities led to significant and similar decreases in all cost categories from the pre-test to the post-test. This reduction was maintained until the one-year follow-up.

Discussion: Methodological choices may have underestimated cost evaluations. Nonetheless, this study supports the cost offset effects of both conventional CBT for primary PDA or GAD and combined CBT for PDA-GAD comorbidity.

Implications for healthcare provision and use: Treatment of comorbid and costly disorders with evidence-based treatments such as CBT may lead to considerable economic benefits for society.

Implications for health policies: Considering the limited resources of healthcare systems, it is important to make choices that will lead to better accessibility of quality services. The application of CBT for PDA, GAD or both disorders and training mental health professionals in this therapeutic approach should be encouraged. Additionally, it would be favorable for insurance plans to reimburse employees for expenses associated with psychological treatment for anxiety disorders.

Implications for further research: In addition to symptom reduction, it would be of great pertinence to explore which factors can contribute to reducing direct and indirect mental health-related costs.

Background: Schizophrenia is a debilitating disorder that often requires the affected individual to receive care from a caregiver. Willingness to Pay (WTP) technique allows a valuation of the health state preferences by assessing the impact of the disease and translating it into monetary terms.

Aims of the study: The objective was to determine the WTP of schizophrenic patients' caregivers on a hypothetical recovery scenario and correlate it to socio-demographic and clinical characteristics, Knowledge of Disease, Quality of life and Burden of Disease.

Methods: A convenience sample consecutively assessed 189 outpatients' caregivers from Schizophrenia Program of Federal University of Sao Paulo. A single caregiver was considered for each patient, taking into consideration their close relationship and their direct involvement in the treatment. Open WTP questionnaire for a hypothetical schizophrenia recovery scenario, KAST (Knowledge of Disease), SF-6D (Quality of life) and ZBI-22 (Burden of Disease) scales were applied.

Results: A monthly WTP mean value (SD) of USUSD 63.63 (111.88) was found. The average value (SD) found was 12.96 (2.45) on KAST, 0.78 (0.08) on SF6D and 29.91 (16.10) on ZARIT. Income, education, social class, knowledge of disease and burden of caregiver were positively correlated to the WTP value. By linear regression model, income and education remained significant.

Conclusion: Willingness to Pay (WTP) is a method that can be used to determine the strength of preference of patients and caregivers for a recovery in schizophrenia. The higher the income and education, the higher the willingness to pay. No clinical characteristics of patients had a statistically significant relation to the value the caregiver would pay.

Implications for health policies: WTP is a potentially useful tool to determine values and health care preferences, and can be used for the development of mental health policies.

Implications for further research: Future research should be used to enhance WTP tool in mental health studies on the impact of diseases, including schizophrenia.

Background: Australia was one of the first countries to develop a national policy for mental health. A persistent characteristic of all these policies has been their reference to the importance of accountability. What does this mean exactly and have we achieved it? Can Australia tell if anybody is getting better?

Aims of the study: To review accountability for mental health in Australia and question whether two decades of Australian rhetoric around accountability for mental health has been fulfilled.

Methods: This paper first considers the concept of accountability and its application to mental health. We then draw on existing literature, reports, and empirical data from national and state governments to illustrate historical and current approaches to accountability for mental health. We provide a content analysis of the most current set of national indicators. The paper also briefly considers some relevant international processes to compare Australia's progress in establishing accountability for mental health.

Results: Australia's federated system of government permits competing approaches to accountability, with multiple and overlapping data sets. A clear national approach to accountability for mental health has failed to emerge. Existing data focuses on administrative and health service indicators, failing to reflect broader social factors which reveal quality of life. In spite of twenty years of investment and effort Australia has been described as outcome blind, unable to demonstrate the merit of USD 8bn spent on mental health annually.

Discussion and limitations: While it may be prolific, existing administrative data provide little outcomes information against which Australia can genuinely assess the health and welfare of people with a mental illness. International efforts are evolving slowly.

Implications for health care provision and use: Even in high income countries such as Australia, resources for mental health services are constrained. Countries cannot afford to continue to invest in services or programs that fail to demonstrate good outcomes for people with a mental illness or are not value for money.

Implications for health policies: New approaches are needed which ensure that chosen accountability indicators reflect national health and social priorities. Such priorities must be meaningful to a range of stakeholders and the community about the state of mental health. They must drive an agenda of continuous improvement relevant to those most affected by mental disorders. These approaches should be operable in emerging international contexts.

Implications for further research: Australia must further develop its approach to health accountability in relation to mental health. A limited set of new preferred national mental health indicators should be agreed. T

Background: Between 1990 and 2006 in Birmingham, Alabama USA, 4 separate randomized controlled studies, called "Homeless 1" through "Homeless 4", treated cocaine substance abuse among chronically homeless adults, largely black men, many with non-psychotic mental health problems. The 4 studies had 9 treatment arms that used various counseling methods plus, in some arms, the provision of housing and work therapy usually with a contingent requirement of urine-test verified abstinence from substances. Participants in the abstinent-contingent arms who lapsed on abstinence were removed from housing and sent to an evening public shelter from which they were daily transported to day treatment until they returned to abstinence.

Aims of the study: This paper compares the cost effectiveness of the treatment arms.

Methods: Societal cost per participant (in 2014 dollars) for each arm is defined as direct treatment cost plus cost of jail or hospital plus societal expense of public shelter use by lapsed participants. An untreated Base Case is defined as 5 percent abstinence with 95 percent usage of a public shelter. Incremental Cost Effectiveness Ratios (ICERs) for paired arms are defined as the change in cost per participant divided by the change in abstinence. Bootstrapping estimates confidence intervals.

Results: Average cost per participant at the end of 6 months of active treatment in 7 arms with comparable data ranged from USD 10,447 to USD 36,194 with corresponding average weeks abstinent ranging from 6.1 to 15.3 out of a possible 26 weeks. In contrast, the Base Case would cost USD 6,123 for 1.3 weeks of abstinence. Compared to the Base Case, the least expensive "DT2" treatment has an ICER of USD 901 (95% CI = USD 571 to USD 1,681) per additional week of abstinence and the most expensive "CMP4" has an ICER of USD 2,147 (95% CI = USD 1,701 to USD 2,848). Additionally, the Homeless 3 study found that the abstinent contingent housing (ACH3) treatment compared to the Non Abstinent Contingent Housing (NAC3), analogous to "Housing First", achieved better abstinence (12.1 v. 10 weeks) at higher average cost (USD 22,512 v. USD 17,541) yielding an ICER for this comparison of (USD 2,367, 95% CI=USD -10,587 to USD 12,467). Similar results are found at 12 months (6 months after active treatment).

Discussion: More intensive methods of counseling improved abstinence but 4 of the 7 treatments were inefficient ("dominated"). Bootstrapping shows that results are sensitive to which individuals were randomly assigned to each arm. A limitation of the analysis is that it does not consider the full societal cost of lost wages, crime costs beyond jail expenses and deterioration of neighborhood quality of life. Additionally, populations treated by Housing First programs may differ from the Birmingham Homeless studies in the severity of addiction or co-occuring psychol

Background: Although marijuana use is commonly associated with increased appetite and the likelihood of weight gain, research findings in this area are mixed. Most studies, however, report cross-sectional associations and rarely control for such important predictors as physical activity, socioeconomic status, and alcohol and other drug use.

Methods: Using data from Waves III (N = 13,038) and IV (N = 13,972) of the National Longitudinal Survey of Adolescent Health, we estimate fixed-effects models to more rigorously study the relationships between marijuana use and body mass index over time. Our analyses include numerous sensitivity tests using alternative estimation techniques and at Wave IV we investigate the relationship between marijuana use and an alternative measure of body size (waist circumference).

Results: Results show that daily female marijuana users have a BMI that is approximately 3.1% (p<0.01) lower than that of non-users, whereas daily male users have a BMI that is approximately 2.7% (p<0.01) lower than that of non-users.

Discussion: The present study indicates a negative association between marijuana use and BMI. Uncovering a negative association between marijuana use and weight status is a valuable contribution to the literature, as this result contradicts those from some previous studies, which were unable to address time-invariant unobserved heterogeneity.

Implications for future research: Future theory-based research is necessary to explore the metabolic and behavioral pathways underlying the negative associations between marijuana use and BMI. A broader understanding of such mechanisms along with causal estimates will be most helpful to both policymakers and clinicians.

Background: As part of the expansive overhaul of the mental health system that occurred in the latter half of the 20th Century, many states passed laws that allow, under certain conditions, voluntary and involuntarily committed patients to refuse medication. While some predicted the consequences of these laws would be dire, the effect on violent behavior remains untested.

Aims of the study: The aim is to decipher any differences state right to refuse medication laws may have on violence.

Method: Using the homicide rate of every US state between 1972 and 2001 (N = 1,479), and the suicide rate between 1981 and 2001 (N = 1,071). The study compares the difference in homicide/suicide rates before and after a law change to that same difference in a set of control states to estimate the effect of laws aimed at extending the right to refuse medication to both voluntary and involuntarily committed mental health patients.

Results: Laws designed to allow voluntarily committed patients to refuse medication are associated with a 0.8 increase in homicides per 100,000 of the state population while laws dictating an involuntarily committed patient's right to request refusal of medication are negative but statistically insignificant using standard t test. Laws designed to allow voluntarily committed patients to refuse medication have no statistically significant effect on suicides while laws dictating an involuntarily committed patient's right to request refusal of medication, specifically when the request is reviewed by independent mental health professionals, are associated with a statistically significant reduction in suicides.

Implications for health policies: Allowing voluntarily committed patients to refuse medication may entice some to enter in-patient facilities, but the brief and optional exposure to medication and their side effects may actually discourage treatment and increase violence.

Background: The economic consequences of mental illnesses are much more than health consequences. In Low and Middle Income Countries (LMIC) the economic impact of mental illnesses is rarely analyzed. This paper attempts to fill the gap in research on economics of mental health in LMIC. We provide economic burden of mental illness in Pakistan that can serve as an argument for reorienting health policy, resource allocation and priority settings.

Aim: To estimate economic burden of mental illnesses in Pakistan.

Methods: The study used prevalence based cost of illnesses approach using bottom-up costing methodology. We used Aga Khan University Hospital, Psychiatry department data set (N = 1882) on admission and ambulatory care for the year 2005-06. Healthcare cost data was obtained from finance department of the hospital. Productivity losses, caregiver and travel cost were estimated using socio-economic features of patients in the data set and data of national household survey. We used stratified random sampling and methods of ordinary least square multiple linear regressions to estimate cost on medicines for ambulatory care. All estimates of cost are based on 1000 bootstrap samples by ICD-10 disease classification. Prevalence data on mental illnesses from Pakistan and regional countries was used to estimate economic burden.

Results: The economic burden of mental illnesses in Pakistan was Pakistan Rupees (PKR) 250,483 million (USD 4264.27 million) in 2006. Medical care costs and productivity losses contributed 37% and 58.97% of the economic burden respectively. Tertiary care admissions costs were 70% of total medical care costs. The average length of stay (LOS) for admissions care was around 8 days. Daily average medical care cost of admitted patients was PKR 3273 (USD 55.72). For ambulatory care, on average a patient visited the clinic twice a year. The estimated average yearly cost for all mental illnesses was PKR 81,922 (USD 1394.65) and PKR 19,592 (USD 333.54) for admissions and ambulatory care respectively. In the sensitivity analysis productivity losses showed high variability (from USD 1022.17 million to USD 4007.01 million). Assuming a gate keeping role of primary healthcare (PHC) demonstrated a saving of USD 1577.19 million in total economic burden.

Implications for health policy: This study set out to generate evidence using a low cost innovative approach relevant to many LMICs. In Pakistan, like many LMICs, patients access tertiary care directly, even for illness that can be efficiently managed at PHC level. In economic terms the non-medical consequences of mental illnesses are far greater than medical consequences. Based on these finding we recommend, firstly, that mental illnesses should be prioritized equally as other illnesses in health policy and secondly there needs to be integration of mental health in primary health care i