Serra Hunter Fellow, University of Girona, Girona, Spain.
Research Group on Health Services and Health Outcomes (GRESSIRES), Palamós, Spain.
PLoS One. 2024 May 21;19(5):e0302174. doi: 10.1371/journal.pone.0302174. eCollection 2024.
The progressive incorporation of quality of life indicators in health planning meets a critical need: The evaluation of the performance of health services, which are under stress by multiple causes, but in particular by an ageing population. In general, national health plans rely on health expectancies obtained using the Sullivan method. The Sullivan health expectancy index combines age-specific mortality rates and age-specific prevalence of healthy life, obtained from health surveys. The objective of this work is to investigate an equivalent estimation, using available information from morbidity and mortality datasets. Mortality and morbidity information, corresponding to years 2016 and 2017, was obtained for the population of the county of Baix Empordà (Catalonia), N = 91,130. Anonymized individual information on diagnoses, procedures and pharmacy consumption contained in the individual clinical record (ICD and ATC codes), were classified into health states. Based on the observed health transitions and mortality, life expectancies by health state were obtained from a multistate microsimulation model. Healthy life expectancies at birth and 65 years for females and males were respectively HLE0female = 39.94, HLE0male = 42.87, HLE65female = 2.43, HLE65male = 2.17. These results differed considerably from the Sullivan equivalents, e.g., 8.25 years less for HLE65female, 9.26 less for HLE65male. Point estimates for global life expectancies at birth and 65 years of age: LE0female = 85.82, LE0male = 80.58, LE65female = 22.31, LE65male = 18.86. Health indicators can be efficiently obtained from multistate models based on mortality and morbidity information, without the use of health surveys. This alternative method could be used for monitoring populations in the context of health planning. Life Expectancy results were consistent with the standard government reports. Due to the different approximation to the concept of health (data-based versus self-perception), healthy life expectancies obtained from multistate micro simulation are consistently lower than those calculated with the standard Sullivan method.
评估卫生服务的绩效,这些服务受到多种原因的压力,特别是人口老龄化的影响。一般来说,国家卫生计划依赖于使用沙利文方法获得的健康期望寿命。沙利文健康期望寿命指数结合了特定年龄的死亡率和特定年龄的健康生活流行率,这些数据是从健康调查中获得的。这项工作的目的是使用发病率和死亡率数据集的现有信息来研究等效的估计。我们获取了 2016 年和 2017 年该县(Baix Empordà,加泰罗尼亚)人口的死亡率和发病率信息,N = 91,130。从个体临床记录(ICD 和 ATC 代码)中包含的诊断、程序和药房消费的个体匿名信息中,将其分为健康状态。根据观察到的健康转变和死亡率,从多状态微观模拟模型中获得了每个健康状态的预期寿命。女性和男性出生时的健康预期寿命和 65 岁时的健康预期寿命分别为 HLE0female = 39.94,HLE0male = 42.87,HLE65female = 2.43,HLE65male = 2.17。这些结果与沙利文的等价物有很大的不同,例如,HLE65female 少了 8.25 年,HLE65male 少了 9.26 年。出生时和 65 岁时全球预期寿命的点估计值:LE0female = 85.82,LE0male = 80.58,LE65female = 22.31,LE65male = 18.86。可以通过基于死亡率和发病率信息的多状态模型有效地获得健康指标,而无需使用健康调查。这种替代方法可用于卫生规划背景下监测人群。预期寿命结果与政府标准报告一致。由于健康概念的不同逼近(基于数据与自我感知),从多状态微观模拟中获得的健康预期寿命始终低于使用标准沙利文方法计算的健康预期寿命。