BackgroundA previous estimate of the burden of schizophrenia in Thailand relied on epidemiological estimates from elsewhere. The aim of this study is to estimate the prevalence and disease burden of schizophrenia in Thailand using local data sources that recently have become available.MethodsThe prevalence of schizophrenia was estimated from a community mental health survey supplemented by a count of hospital admissions. Using data from recent meta-analyses of the risk of mortality and remission, we derived incidence and average duration using DisMod software. We used treated disability weights based on patient and clinician ratings from our own local survey of patients in contact with mental health services and applied methods from Australian Burden of Disease and cost-effectiveness studies. We applied untreated disability weights from the Global Burden of Disease (GBD) study. Uncertainty analysis was conducted using Monte Carlo simulation.ResultsThe prevalence of schizophrenia at ages 15-59 in the Thai population was 8.8 per 1,000 (95% CI: 7.2, 10.6) with a male-to-female ratio of 1.1-to-1. The disability weights from local data were somewhat lower than the GBD weights. The disease burden in disability-adjusted life years was similar in men (70,000; 95% CI: 64,000, 77, 000) and women (75,000; 95% CI: 69,000, 83,000). The impact of using the lower Thai disability weights on the DALY estimates was small in comparison to the uncertainty in prevalence.ConclusionsPrevalence of schizophrenia was more critical to an accurate estimate of burden of disease in Thailand than variations in disability weights.

BackgroundFor an effective health system, human resources for health (HRH) planning should be aligned with health system needs. To provide evidence-based information to support HRH plan and policy, we should develop strategies to quantify health workforce requirements and supply. The aim of this study is to project HRH requirements for the Thai health service system in 2026. HRH included in this study were doctors, dentists, nurses, pharmacists, medical technicians (MTs), physiotherapists (PTs), and Thai traditional medicine (TTM) practitioners.Methods and resultsThe study mainly relied on the secondary data in relation to service utilization and population projection together with expert opinions. Health demand method was employed to forecast the HRH requirements based on the forecasted service utilizations. The results were then converted into HRH requirements using the staffing norm and productivity. The HRH supply projection was based on the stock and flow approach in which current stock and the flow in and out were taken into account in the projection. The results showed that in 2026, nurses are likely to be in critical shortages. The supply of doctors, pharmacists, and PTs is likely to be surplus. The HRH requirements are likely to match with the supply in cases of dentists, MTs, and TTM practitioners.ConclusionIn 2026, the supply of key professionals is likely to be sufficient except nurses who will be in critical shortages. The health demand method, although facing some limitations, is useful to project HRH requirements in such a situation that people are accessible to health services and future service utilizations are closely linked to current utilization rates.

BackgroundInformation on cost-effectiveness of interventions to treat schizophrenia can assist health policy decision making, particularly given the lack of health resources in developing countries like Thailand. This study aims to determine the optimal treatment package, including drug and non-drug interventions, for schizophrenia in Thailand.MethodsA Markov model was used to evaluate the cost-effectiveness of typical antipsychotics, generic risperidone, olanzapine, clozapine and family interventions. Health outcomes were measured in disability adjusted life years. We evaluated intervention benefit by estimating a change in disease severity, taking into account potential side effects. Intervention costs included outpatient treatment costs, hospitalization costs as well as time and travel costs of patients and families. Uncertainty was evaluated using Monte Carlo simulation. A sensitivity analysis of the expected range cost of generic risperidone was undertaken.ResultsGeneric risperidone is more cost-effective than typicals if it can be produced for less than 10 baht per 2 mg tablet. Risperidone was the cheapest treatment with higher drug costs offset by lower hospital costs in comparison to typicals. The most cost-effective combination of treatments was a combination of risperidone (dominant intervention). Adding family intervention has an incremental cost-effectiveness ratio of 1,900 baht/DALY with a 100% probability of a result less than a threshold for very cost-effective interventions of one times GDP or 110,000 baht per DALY. Treating the most severe one third of patients with clozapine instead of risperidone had an incremental cost-effectiveness ratio of 320,000 baht/DALY with just over 50% probability of a result below three times GDP per capita.ConclusionsThere are good economic arguments to recommend generic risperidone as first line treatment in combination with family intervention. As the uncertainty interval indicates the addition of clozapine may be dominated and there are serious side effects, treating severe patients with clozapine is advisable only for patients who do not respond to risperidone and only in the presence of a stricter side effect monitoring system than currently exists.

Schizophrenia is a highly disabling mental health disorder that imposes a considerable economic burden on a health care system. This paper aimed to examine the cost and effectiveness of alternative pharmaceutical interventions and the effects of family intervention (FI) for schizophrenia from the government perspective in order to introduce the most cost-effective intervention applicable to Vietnam. A Markov model was developed to estimate costs and health outcome over patients' lifetimes when using typical and atypical antipsychotic drugs, alone or in combination with family intervention. Health outcome was measured in terms of disability-adjusted life years averted. Monte Carlo simulation was used for uncertainty analysis. According to our findings, interventions using typical or atypical drugs combined with FI were found to be the most effective and least costly compared to a 'do-nothing' scenario. Interventions using atypical drugs alone were estimated to be much less favourable due to a considerably higher cost. This is a very first attempt on cost-effectiveness analysis of interventions for schizophrenia in Vietnam, and recommendations are made for future research to determine the most cost-effective intervention.

ObjectiveTo describe the circumstances of the elderly with dementia and their caregivers’ characteristics in order to examine factors related to activities of daily living (ADL) and household income to propose a long-term care policy for rural areas of Thailand.SettingA cross-sectional study at the household level in three rural regions of Thailand where there were initiatives relating to community care for people with dementia.ParticipantsCaregivers of 140 people with dementia were recruited for the study.Primary and secondary outcome measuresSocioeconomic characteristics including data from assessment of ADL and instrumental ADL and the Thai version of Resource Utilisation in Dementia were collected. Descriptive statistics were used to explain the characteristics of the elderly with dementia and the caregivers while inferential statistics were used to examine the associations between different factors of elderly patients with dementia with their dependency level and household socioeconomic status.ResultsEighty-six per cent of the dementia caregivers were household informal caregivers as half of them also had to work outside the home. Half of the primary caregivers had no support and no minor caregivers. The elderly with dementia with high dependency levels were found to have a significant association with age, dementia severity, chance of hospitalisation and number of hospitalisations. Though most of these rural samples had low household incomes, the patients in the lower-income households had significantly lower dementia severity, but, with the health benefit coverage had significantly higher chances of hospitalisation.ConclusionAs the informal caregivers are the principal human resources for dementia care and services in rural area, policymakers should consider informal care for the Thai elderly with dementia and promote it as the dominant pattern of dementia care in Thailand.

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