Larrañaga Igor, Ibarrondo Oliver, Mar-Barrutia Lorea, Soto-Gordoa Myriam, Mar Javier
Research Unit, Osakidetza Basque Health Service, Debagoiena Integrated Health Organisation, Avenida Navarra 16, 20500, Arrasate-Mondragón, Gipuzkoa, Spain.
Kronikgune Institute for Health Services Research, Barakaldo, Spain.
Cost Eff Resour Alloc. 2023 Mar 1;21(1):18. doi: 10.1186/s12962-023-00428-w.
Mental illnesses account for a considerable proportion of the global burden of disease. Economic evaluation of public policies and interventions aimed at mental health is crucial to inform decisions and improve the provision of healthcare services, but experts highlight that nowadays the cost implications of mental illness are not properly quantified. The objective was to measure the costs of excess use of all healthcare services by 1- to 30-year-olds in the Basque population as a function of whether or not they had a mental disorder diagnosis.
A real-world data study was used to identify diagnoses of mental disorders and to measure resource use in the Basque Health Service Registry in 2018. Diagnoses were aggregated into eight diagnostic clusters: anxiety, attention deficit hyperactivity disorder, conduct disorders, mood disorders, substance use, psychosis and personality disorders, eating disorders, and self-harm. We calculated the costs incurred by each individual by multiplying the resource use by the unit costs. Annual costs for each cluster were compared with those for individuals with no diagnosed mental disorders through entropy balancing and two-part models which adjusted for socioeconomic status (SES).
Of the 609,381 individuals included, 96,671 (15.9%) had ≥ 1 mental disorder diagnosis. The annual cost per person was two-fold higher in the group diagnosed with mental disorders (€699.7) than that with no diagnoses (€274.6). For all clusters, annual excess costs associated with mental disorders were significant. The adjustment also evidenced a social gradient in healthcare costs, individuals with lower SES consuming more resources than those with medium and higher SES across all clusters. Nonetheless, the effect of being diagnosed with a mental disorder had a greater impact on the mean and excess costs than SES.
Results were consistent in showing that young people with mental disorders place a greater burden on healthcare services. Excess costs were higher for severe mental disorders like self-harm and psychoses, and lower SES individuals incurred, overall, more than twice the costs per person with no diagnoses. A socioeconomic gradient was notable, excess costs being higher in low SES individuals than those with a high-to-medium SES. Differences by sex were also statistically significant but their sizes were smaller than those related to SES.
精神疾病在全球疾病负担中占相当大的比例。对旨在促进心理健康的公共政策和干预措施进行经济评估,对于为决策提供信息和改善医疗服务的提供至关重要,但专家强调,目前精神疾病的成本影响尚未得到妥善量化。目的是衡量巴斯克地区1至30岁人群因是否患有精神障碍诊断而过度使用所有医疗服务的成本。
采用一项真实世界数据研究来确定精神障碍诊断,并测量2018年巴斯克地区卫生服务登记处的资源使用情况。诊断被汇总为八个诊断类别:焦虑症、注意力缺陷多动障碍、品行障碍、情绪障碍、物质使用、精神病和人格障碍、饮食障碍以及自我伤害。我们通过将资源使用量乘以单位成本来计算每个个体产生的成本。通过熵平衡和调整了社会经济地位(SES)的两部分模型,将每个类别的年度成本与未诊断出精神障碍的个体的成本进行比较。
在纳入的609,381名个体中,96,671名(15.9%)有≥1种精神障碍诊断。被诊断患有精神障碍的人群中,人均年度成本(699.7欧元)是未诊断出精神障碍人群(274.6欧元)的两倍。对于所有类别,与精神障碍相关的年度额外成本都很显著。调整后还证明了医疗成本存在社会梯度,在所有类别中,社会经济地位较低的个体比中等和较高社会经济地位的个体消耗更多资源。尽管如此,被诊断患有精神障碍对平均成本和额外成本的影响比社会经济地位更大。
结果一致表明,患有精神障碍的年轻人给医疗服务带来了更大负担。自我伤害和精神病等严重精神障碍的额外成本更高,总体而言,社会经济地位较低的个体每人产生的成本是未诊断出精神障碍个体的两倍多。社会经济梯度显著,社会经济地位低的个体的额外成本高于中高社会经济地位的个体。性别差异在统计学上也很显著,但其规模小于与社会经济地位相关的差异。