Cornwell Katy, Forbes Catherine, Inder Brett, Meadows Graham
Department of Econometrics and Business Statistics, Monash University, VIC 3800, Australia.
J Ment Health Policy Econ. 2009 Sep;12(3):107-18.
Mental illness can impact all stages of labour market engagement: lower rates of participation in the labour market, higher rates of unemployment and employment in low-skill or low-earning occupations relative to qualifications. Systematic mental health surveys provide an opportunity to examine the scale of such impacts. Though usually cross sectional in nature, such surveys commonly include historical data by self report that can be used to construct a retrospective cohort study, within which it is possible to examine temporal sequence of illness and employment experience and thereby explore issues of causality.
The 1997 National Survey of Mental Health and Wellbeing of Adults contains comprehensive questions relating to prevalence and level of disability associated with major mental disorders. Here we employ secondary analyses of the survey data to develop three models capturing workforce participation, unemployment and occupational level. Different versions of these models employ either broad diagnostic classes or numbers of disorders as indicators of mental disorder status. After reporting findings from these models we use them in combination to estimate labour market costs for Australia.
Each disorder reduces the chance of participation in the labour market by 1.3 percentage points, an appreciable amount given that most individuals suffering from mental disorders have multiple disorders. There is a strongly significant effect of mental illness on employment and clear evidence of reduced occupational skill level.
The impact of mental illness is very strong at every stage of engagement. Limitations include the self report nature of the assessments and lack of specific income data collection within the survey instrument.
Other work based on this survey shows poor accessibility of recovery based and rehabilitation orientated services. These are the very services that have a role to play in increasing workforce participation, employment and occupational level.
This assessment of these labour market effects suggests that increasing mental health care funding could yield substantial benefits to the economy.
In 2007 a further survey of the Australian population was carried out that will provide an updated data set against which to re-examine this issue. The issue of comparability of the instrumentation between the two surveys will be complex, but valid comparisons across the two surveys should be feasible.
精神疾病会影响劳动力市场参与的各个阶段:相对于资质而言,劳动力市场参与率较低、失业率较高以及在低技能或低收入职业中的就业率较高。系统性心理健康调查提供了一个审视此类影响规模的机会。尽管此类调查本质上通常是横断面调查,但通常包括通过自我报告的历史数据,这些数据可用于构建回顾性队列研究,在此研究中可以审视疾病和就业经历的时间顺序,从而探讨因果关系问题。
1997年全国成人心理健康与幸福调查包含了与主要精神障碍的患病率和残疾程度相关的全面问题。在此,我们对调查数据进行二次分析,以建立三个模型,分别反映劳动力参与、失业和职业水平。这些模型的不同版本使用宽泛的诊断类别或疾病数量作为精神障碍状况的指标。在报告这些模型的结果后,我们将它们结合起来估算澳大利亚的劳动力市场成本。
每种疾病都会使劳动力市场参与机会降低1.3个百分点,鉴于大多数患有精神障碍的个体患有多种疾病,这一降幅相当可观。精神疾病对就业有非常显著的影响,并且有明确证据表明职业技能水平下降。
精神疾病在参与的每个阶段影响都非常大。局限性包括评估的自我报告性质以及调查工具中缺乏具体收入数据收集。
基于此项调查的其他研究表明,以康复为基础和以康复为导向的服务可及性较差。而这些服务对于提高劳动力参与、就业和职业水平具有重要作用。
对这些劳动力市场影响的评估表明,增加心理健康护理资金投入可能会给经济带来巨大益处。
2007年对澳大利亚人口进行了进一步调查,这将提供一个更新的数据集,据此可重新审视这一问题。两次调查之间工具可比性的问题会很复杂,但对两次调查进行有效比较应该是可行的。