Joaquim Inês, Pereira Luís Nobre, Nunes Carla, Mateus Céu
Escola Nacional de Saúde Pública, Universidade Nova de Lisboa, Avenida Padre Cruz, 1600-560, Lisboa, Portugal.
Research Centre for Spatial and Organizational Dynamics (CIEO) - University of Algarve, School of Management, Hospitality and Tourism, University of Algarve, Campus da Penha, 8005-139, Faro, Portugal.
Res Health Serv Reg. 2022 Dec 14;1(1):15. doi: 10.1007/s43999-022-00014-2.
Policymakers aim to reduce C-section (CS) rates, due to well documented overtreatment. However, little is known about how hospital characteristics relate to their c-section rates on low-risk deliveries (CSR-LRD).
CSR-LRD were computed using inpatient data from all Portuguese National Health Service hospitals (2002-2011). Linear and Fractional Response Models were estimated to quantify the relationship between CSR-LRD and a set of hospital characteristics: hospital size, type (exclusively obstetrics or not), Neonatal Intensive Care Unit (NICU) availability, obstetrician-to-obstetric bed ratio, and teaching status.
CSR-LRD increased from 11.7% (2002) to 14.1% (2008), declining to 12.5% in 2011. While larger hospitals and hospitals with NICU had higher CSR-LRD rates, teaching status and obstetrician-to-obstetric bed ratio had no significant effect. Adjusted estimates, controlling for those four characteristics, indicate 91% of the variation in the CSR-LRD is left unexplained.
Hospital characteristics do not explain variation in CSR-LRD rates. Further studies considering medical practice, financial incentives to hospitals and/or physicians, and patient education are needed.
由于过度治疗记录完备,政策制定者旨在降低剖宫产(CS)率。然而,关于医院特征如何与低风险分娩的剖宫产率(CSR-LRD)相关联,人们知之甚少。
使用来自葡萄牙所有国家卫生服务医院(2002 - 2011年)的住院患者数据计算CSR-LRD。估计线性和分数响应模型,以量化CSR-LRD与一组医院特征之间的关系:医院规模、类型(是否为纯产科医院)、新生儿重症监护病房(NICU)可用性、产科医生与产科床位比例以及教学地位。
CSR-LRD从2002年的11.7%上升至2008年的14.1%,2011年降至12.5%。虽然较大的医院和设有NICU的医院CSR-LRD率较高,但教学地位和产科医生与产科床位比例没有显著影响。在控制这四个特征后的调整估计表明,CSR-LRD中91%的变异无法解释。
医院特征无法解释CSR-LRD率的变异。需要进一步开展考虑医疗实践、对医院和/或医生的经济激励以及患者教育的研究。