探索加纳死亡率估计的各种来源:对数据来源、挑战和机遇的范围审查。

IF 2.7 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Regina Titi-Ofei, Hillary Kipruto, Dominic Atweam, Anthony Adofo Ofosu, Clementine Rossier
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引用次数: 0

摘要

背景:准确估计死亡率对于有效的公共卫生规划、政策制定和卫生干预措施监测至关重要。在加纳,使用多种数据来源来估计死亡率,包括民事登记系统、住户调查、人口普查数据以及卫生和人口监测系统。本范围审查探讨了加纳现有的死亡率数据来源,审查了它们面临的挑战和机遇。方法:使用Arksey和O'Malley的框架,我们从加纳卫生服务、卫生部、加纳统计局、世卫组织和联合国中确定了同行评议和灰色文献。我们选择了2000年至2024年间发表的关于加纳死亡率估计的研究。数据被提取并合成为关键主题:数据源、挑战和机遇。结果:确定了6个主要的死亡率数据来源:民事登记和生命统计(CRVS)、人口普查数据、人口和健康调查(DHS)、健康和人口监测系统(HDSS)、基于设施的卫生信息系统(HMIS)、全球疾病负担(GBD)和联合国经济和社会事务部(UN DESA)的模型估计。主要挑战包括死亡登记不足(CRVS和HMIS)、回忆偏差(DHS、人口普查)、地理覆盖范围有限(HDSS)、死因分类不一致(HMIS、HDSS)以及缺乏当地地理覆盖(GBD、联合国经社部、DHS)。尽管如此,其好处包括纵向随访(HDSS)、当地覆盖和所有权(CRVS、HMIS)和国际可比性(GBD、UN DESA、DHS)。结论:加纳的死亡率估计得到了多样化但碎片化的数据来源的支持。加强CRVS和HMIS系统,整合多种数据流,标准化方法,加强机构伙伴关系是提高数据质量和覆盖范围的重要步骤。本综述提出了改进建议,以提高加纳死亡率估计的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring the Various Sources of Mortality Estimation in Ghana: A Scoping Review of Data Sources, Challenges, and Opportunities.

Exploring the Various Sources of Mortality Estimation in Ghana: A Scoping Review of Data Sources, Challenges, and Opportunities.

Exploring the Various Sources of Mortality Estimation in Ghana: A Scoping Review of Data Sources, Challenges, and Opportunities.

Background: Accurate estimation of mortality is essential for effective public health planning, policymaking, and monitoring of health interventions. In Ghana, multiple data sources are used to estimate mortality, including civil registration systems, household surveys, census data, and health and demographic surveillance systems. This scoping review explores the existing sources of mortality data in Ghana, examining their challenges and opportunities. Methods: Using Arksey and O'Malley's framework, we identified peer-reviewed and grey literature from Ghana Health Service, Ministry of Health, Ghana Statistical Service, WHO, and the United Nations. We selected studies published between 2000 and 2024 that focused on mortality estimation in Ghana. Data was extracted and synthesized into key themes: data sources, challenges, and opportunities. Results: Six major data sources on mortality were identified: Civil Registration and Vital Statistics (CRVS), census data, Demographic and Health Surveys (DHS), Health and Demographic Surveillance Systems (HDSS), Facility-Based Health Information Systems (HMIS), modeled estimates from the Global Burden of Disease (GBD) and from the United Nations Department of Economic and Social Affairs (UN DESA). Key challenges include under-registration of deaths (CRVS and HMIS), recall bias (DHS, census), limited geographic coverage (HDSS), inconsistencies in cause-of-death classification (HMIS, HDSS), and lack of local geographic coverage (GBD, UN DESA, DHS). Nonetheless, benefits include longitudinal follow-up (HDSS), local coverage and ownership (CRVS, HMIS) and international comparability (GBD, UN DESA, DHS). Conclusions: Mortality estimation in Ghana is supported by diverse but fragmented data sources. Strengthening the CRVS and HMIS systems, integrating multiple data streams, standardizing methodologies, and enhancing institutional partnership are essential steps toward improving data quality and coverage. This review provides recommendations for improvement towards better quality estimations of mortality in Ghana.

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来源期刊
Healthcare
Healthcare Medicine-Health Policy
CiteScore
3.50
自引率
7.10%
发文量
0
审稿时长
47 days
期刊介绍: Healthcare (ISSN 2227-9032) is an international, peer-reviewed, open access journal (free for readers), which publishes original theoretical and empirical work in the interdisciplinary area of all aspects of medicine and health care research. Healthcare publishes Original Research Articles, Reviews, Case Reports, Research Notes and Short Communications. We encourage researchers to publish their experimental and theoretical results in as much detail as possible. For theoretical papers, full details of proofs must be provided so that the results can be checked; for experimental papers, full experimental details must be provided so that the results can be reproduced. Additionally, electronic files or software regarding the full details of the calculations, experimental procedure, etc., can be deposited along with the publication as “Supplementary Material”.
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