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Abstract：
OBJECTIVE: The study aimed to assess the functionality of labour rooms by evaluating the labour room infrastructure with reference to the standard guidelines, the status of the availability of human resources, the availability of essential equipment and consumables in the labour room and by documenting the knowledge of the healthcare provider in terms of labour room practices. The study also explored the facility parameters associated with its delivery load taking the facility as a unit of analysis.
METHODS: A cross-sectional analytical study.
METHODS: India has realised the importance of improving the quality of care in public health facilities, and steps are being taken to make healthcare more responsive to women\'s needs. With an increase in the proportion of institutional deliveries in India, the outcome of the delivery process can be improved by optimising the health facility components.
METHODS: The study was conducted in 52 health facilities and healthcare providers involved in the delivery process in the selected facilities.
RESULTS: The infrastructure of the facilities was found to be the best for medical college followed by district hospitals, Community Health Centres (CHCs), Primary Health Centres (PHCs) and subcentres. Similar findings were observed in terms of the availability of equipment and consumables. Lack of healthcare providers was observed as only 20% of the posts for health personnel were fulfilled in CHCs followed by PHCs, subcentres and district hospitals where 43, 50 and 79% of the available vacancies were fulfilled. The level of knowledge of healthcare providers in terms of partograph, active management of the third stage of labour and post-partum haemorrhage ranged as per their designation. The specialists were the most knowledgeable while the Auxiliary Nurse Midwife (AMNs) were the least. All the components of structural capacity, i.e. infrastructure (r 2 = 0.377, P value < 0.001), equipment and consumable (r 2 = 0.606, P value < 0.001) and knowledge of healthcare providers (r 2 = 0.456, P value < 0.001) along with the overall facility score were positively correlated with the average delivery load of the health facility. The results from multivariate linear regression depict significant relation between the delivery load and availability of equipment and consumables (t = 4.015, P < 0.01) and with the knowledge of healthcare providers (t = 2.129, P = 0.039).
CONCLUSIONS: The higher facilities were better equipped to provide delivery and newborn care. A higher delivery load was found at high-level facilities which can be attributed to better infrastructure, adequate supply of equipment and consumables and availability of trained human resources.
METHODS: A cross-sectional analytical study.
METHODS: India has realised the importance of improving the quality of care in public health facilities, and steps are being taken to make healthcare more responsive to women\'s needs. With an increase in the proportion of institutional deliveries in India, the outcome of the delivery process can be improved by optimising the health facility components.
METHODS: The study was conducted in 52 health facilities and healthcare providers involved in the delivery process in the selected facilities.
RESULTS: The infrastructure of the facilities was found to be the best for medical college followed by district hospitals, Community Health Centres (CHCs), Primary Health Centres (PHCs) and subcentres. Similar findings were observed in terms of the availability of equipment and consumables. Lack of healthcare providers was observed as only 20% of the posts for health personnel were fulfilled in CHCs followed by PHCs, subcentres and district hospitals where 43, 50 and 79% of the available vacancies were fulfilled. The level of knowledge of healthcare providers in terms of partograph, active management of the third stage of labour and post-partum haemorrhage ranged as per their designation. The specialists were the most knowledgeable while the Auxiliary Nurse Midwife (AMNs) were the least. All the components of structural capacity, i.e. infrastructure (r 2 = 0.377, P value < 0.001), equipment and consumable (r 2 = 0.606, P value < 0.001) and knowledge of healthcare providers (r 2 = 0.456, P value < 0.001) along with the overall facility score were positively correlated with the average delivery load of the health facility. The results from multivariate linear regression depict significant relation between the delivery load and availability of equipment and consumables (t = 4.015, P < 0.01) and with the knowledge of healthcare providers (t = 2.129, P = 0.039).
CONCLUSIONS: The higher facilities were better equipped to provide delivery and newborn care. A higher delivery load was found at high-level facilities which can be attributed to better infrastructure, adequate supply of equipment and consumables and availability of trained human resources.
摘要：
目的：该研究旨在通过参考标准指南评估劳动室基础设施来评估劳动室的功能，人力资源的可用性状况，提供必要的设备和消耗品在劳动室和通过记录医疗服务提供者的知识在劳动室的做法。该研究还以设施为分析单位，探讨了与其交付负载相关的设施参数。
方法：横断面分析研究。
方法：印度已经意识到提高公共卫生设施护理质量的重要性，并正在采取措施使医疗保健更符合妇女的需求。随着印度机构交付比例的增加，可以通过优化卫生设施组件来改善交付过程的结果。
方法：该研究是在选定设施中参与交付过程的52个医疗机构和医疗保健提供者中进行的。
结果：发现设施的基础设施是医学院最好的，其次是地区医院，社区卫生中心（CHC），初级保健中心（PHCs）和次级中心。在设备和消耗品的可用性方面也观察到类似的调查结果。观察到缺乏医疗保健提供者，因为只有20％的卫生人员职位在CHC中完成，其次是PHC，分中心和地区医院，其中43％，50％和79％的可用空缺已完成。医疗保健提供者在Partograph方面的知识水平，第三产程和产后出血的积极治疗范围根据其指定。专家知识最丰富，而辅助护士助产士（AMN）最少。结构能力的所有组成部分，即基础设施(r2=0.377，P值<0.001)，设备和耗材(r2=0.606,P值<0.001)和医疗保健提供者的知识(r2=0.456,P值<0.001)以及总体设施评分与医疗机构的平均分娩负荷呈正相关.多元线性回归的结果描述了交付负荷与设备和消耗品的可用性（t=4.015，P<0.01）以及医疗保健提供者的知识（t=2.129，P=0.039）之间的显着关系。
结论：较高的设施更好地提供分娩和新生儿护理。在高级设施中发现了更高的交付负载，这可以归因于更好的基础设施，设备和消耗品的充足供应以及训练有素的人力资源的可用性。
方法：横断面分析研究。
方法：印度已经意识到提高公共卫生设施护理质量的重要性，并正在采取措施使医疗保健更符合妇女的需求。随着印度机构交付比例的增加，可以通过优化卫生设施组件来改善交付过程的结果。
方法：该研究是在选定设施中参与交付过程的52个医疗机构和医疗保健提供者中进行的。
结果：发现设施的基础设施是医学院最好的，其次是地区医院，社区卫生中心（CHC），初级保健中心（PHCs）和次级中心。在设备和消耗品的可用性方面也观察到类似的调查结果。观察到缺乏医疗保健提供者，因为只有20％的卫生人员职位在CHC中完成，其次是PHC，分中心和地区医院，其中43％，50％和79％的可用空缺已完成。医疗保健提供者在Partograph方面的知识水平，第三产程和产后出血的积极治疗范围根据其指定。专家知识最丰富，而辅助护士助产士（AMN）最少。结构能力的所有组成部分，即基础设施(r2=0.377，P值<0.001)，设备和耗材(r2=0.606,P值<0.001)和医疗保健提供者的知识(r2=0.456,P值<0.001)以及总体设施评分与医疗机构的平均分娩负荷呈正相关.多元线性回归的结果描述了交付负荷与设备和消耗品的可用性（t=4.015，P<0.01）以及医疗保健提供者的知识（t=2.129，P=0.039）之间的显着关系。
结论：较高的设施更好地提供分娩和新生儿护理。在高级设施中发现了更高的交付负载，这可以归因于更好的基础设施，设备和消耗品的充足供应以及训练有素的人力资源的可用性。
