Mhajabin Shema, Banik Goutom, Islam Muhammad Shariful, Islam Md Jahurul, Tahsina Tazeen, Ahmed Farid Uddin, Islam Mushair Ul, Mannan Md Abdul, Dey Sanjoy Kumer, Sharmin Samina, Mehran Fida, Khan Mahbuba, Ahmed Anisuddin, Al Sabir Ahmed, Sultana Shahin, Ahsan Ziaul, Rubayet Sayed, George Joby, Karim Afsana, Shahidullah Muhammad, El Arifeen Shams, Rahman Ahmed Ehsanur
Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Directorate General of Health Services, Government of Bangladesh Ministry of Health and Family Welfare, Bangladesh.
J Glob Health. 2022 Sep 17;12:04079. doi: 10.7189/jogh.12.04079.
This study aimed to identify a set of newborn signal functions (NSFs) that can categorize health facilities and assist policymakers and health managers in appropriately planning and adequately monitoring the progress and performance of health facilities delivering newborn health care in Bangladesh and similar low-income settings.
A modified Delphi method was used to identify a set of NSFs and a cross-sectional health facility assessment among the randomly selected facilities was conducted to test them in public health facilities in Bangladesh. In the modified Delphi approach, three main steps of listing, prioritizing, and testing were followed to identify the set of NSFs. Then, to finalize the set of NSFs and its variables, a total of five Delphi workshops and three rounds of Delphi surveys were conducted. Finally, 205 public health facilities located in 41 randomly selected districts were assessed for the availability and readiness of finalized NSFs using the updated tool of Bangladesh Health Facility Survey (BHFS) 2017.
Twenty NSFs were identified and finalized, nine of which were categorized as primary NSFs, 13 as basic NSFs, 18 as comprehensive NSFs, and 20 as advanced NSFs. Almost all district hospitals (DHs), Upazila health complexes (UHCs,) and maternal and child welfare centres (MCWCs) performed the primary NSFs in the last three months. However, around one-third of the union health and family welfare centres (UH&FWCs) and very few community clinics (CCs) performed them during the same period. The basic, comprehensive, and advanced NSF readiness was inadequate and inappropriate across all types of facilities, including DHs and UHCs.
In the absence of internationally or nationally agreed-upon NSFs to measure a health facility's service availability and readiness for providing newborn care, this study becomes the first to identify and finalize a set of NSFs and to incorporate relevant variables in the health facility assessment tool which can be used to monitor the availability and readiness of a newborn care facility. The identified NSFs can also be adapted for the countries with similar contexts and can serve as a standard base to determine a global set of NSFs.
本研究旨在确定一套新生儿信号功能(NSFs),用于对卫生设施进行分类,并协助政策制定者和卫生管理人员在孟加拉国及类似低收入环境中,对提供新生儿保健服务的卫生设施的进展和绩效进行适当规划和充分监测。
采用改良德尔菲法确定一套NSFs,并在随机选择的设施中进行横断面卫生设施评估,以在孟加拉国的公共卫生设施中对其进行测试。在改良德尔菲法中,遵循列出、排序和测试三个主要步骤来确定NSFs集。然后,为了确定NSFs集及其变量,共举办了五次德尔菲研讨会和三轮德尔菲调查。最后,使用2017年孟加拉国卫生设施调查(BHFS)的更新工具,对位于41个随机选择地区的205个公共卫生设施进行评估,以了解最终确定的NSFs的可用性和准备情况。
确定并最终确定了20个NSFs,其中9个被归类为初级NSFs,13个为基本NSFs,18个为综合NSFs,20个为高级NSFs。几乎所有的 district hospitals(DHs)、Upazila health complexes(UHCs)和妇幼福利中心(MCWCs)在过去三个月内都执行了初级NSFs。然而,同期约三分之一的联合卫生和家庭福利中心(UH&FWCs)以及极少数社区诊所(CCs)执行了这些功能。包括DHs和UHCs在内的所有类型设施的基本、综合和高级NSF准备情况均不足且不合适。
在缺乏国际或国家认可的用于衡量卫生设施提供新生儿护理服务的可用性和准备情况的NSFs的情况下,本研究首次确定并最终确定了一套NSFs,并将相关变量纳入卫生设施评估工具,该工具可用于监测新生儿护理设施的可用性和准备情况。所确定的NSFs也可适用于具有类似情况的国家,并可作为确定全球NSFs集的标准基础。