Evidence map›Paper›PMID 39300422›Full record

ArticleBMC public health2024

Strengthening China's National Essential Public Health Services Package for hypertension and diabetes care: protocol for an interrupted time series study with mixed-methods process evaluation and health economic evaluation.

Shangzhi Xiong, Wei Jiang, Xinyi Zhang, Yongchen Wang, Chi Hu, Mingjia Bao, Fan Li, Jiajuan Yang, Huinan Hou, Nan Peng and 15 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Shangzhi XiongThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
Wei JiangChinese Centre for Disease Control and Prevention, No. 155 Changbai Road, Changping District, Beijing, China. jiangwei@chinacdc.cn.
Xinyi ZhangSchool of Public Health, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, China.
Yongchen WangDepartment of General Practice, The Second Affiliated Hospital of Harbin Medical University, Harbin, China. yongchenwang@163.com.
Chi HuYichang City Centre for Disease Control and Prevention, Yichang, China.
Mingjia BaoHeilongjiang Provincial Centre for Disease Control and Prevention, Harbin, China.
Fan LiHealth Bureau of Wenjiang District, Chengdu, China.
Jiajuan YangYichang City Centre for Disease Control and Prevention, Yichang, China.
Huinan HouJiamusi City Centre for Disease Control and Prevention, Jiamusi, China.
Nan PengWenjiang District Centre for Disease Control and Prevention, Chengdu, China.
Qiujun WangDepartment of General Practice, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Rui JiangDepartment of General Practice, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jin'ge WangSchool of Public Health, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, China.
Tingzhuo LiuSchool of Public Health, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, China.
Pengpeng YeNational Centre for Non-Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, China.
Yanqiuzi MaNational Centre for Non-Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, No. 27 Nanwei Road, Xicheng District, Beijing, China.
Bingqin LiSocial Policy Research Centre, Faculty of Arts, Design and Architecture, University of New South Wales, Sydney, Australia.
Zhengming ChenNuffield Department of Population Health, Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), University of Oxford, Oxford, UK.
Qiang LiThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
Xin DuThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
Thomas LungThe George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
Lei SiSchool of Health Sciences, Western Sydney University, Campbelltown, NSW, Australia.
Limin Mao *Centre for Social Research in Health, Faculty of Arts, Design and Architecture, University of New South Wales, Sydney, Australia.
David Peiris *The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
Maoyi Tian *School of Public Health, Harbin Medical University, No. 157 Baojian Road, Nangang District, Harbin, China. maoyi.tian@hrbmu.edu.cn.

Funding

National Health and Medical Research Council APP1169757
6 · The paper itself

Abstract

backgroundDespite major primary health care (PHC) reforms in China with the 2009 launch of the National Essential Public Health Service Package, the country experiences many challenges in improving the management of non-communicable diseases in PHC facilities. "EMERALD" is a multifaceted implementation strategy to strengthen the management of hypertension and type-2 diabetes mellitus (T2DM) in PHC facilities. The study aims to: (1) examine the effectiveness of EMERALD in improving hypertension and T2DM management; (2) evaluate the implementation of the interventions; and (3) use the study findings to model the long-term health economic impact of the interventions.

methodsThe EMERALD intervention components include: (1) empowerment for PHC providers through training and capacity building; (2) empowerment for patient communities through multi-media health education; and  (3) empowerment for local health administrators through health data monitoring and strengthening governance of local PHC programs. An interrupted time series design will be used to determine the effectiveness of the interventions based on routinely collected health data extracted from local health information systems. The primary effectiveness outcome is the guideline-recommended treatment rates for people with hypertension and T2DM. Secondary effectiveness outcomes include hypertension and T2DM diagnosis and control rates, and enrolment and adherence rates to the recommended care processes in the National Essential Public Health Service Package. A mixed-methods process evaluation will be conducted to evaluate the implementation of the interventions, including the reach of the target population, adequacy of adoption, level of implementation fidelity, and maintenance. Qualitative interviews with policy makers, health administrators, PHC providers, and patients with hypertension and/or T2DM will be conducted to further identify factors influencing the implementation. In addition, health economic modelling will be performed to explore the long-term incremental costs and benefits of the interventions. DISCUSSION: This study is expected to generate important evidence on the effectiveness, implementation, and health economic impact of complex PHC interventions to strengthen the primary care sector's contribution to addressing the growing burden of non-communicable diseases in China.

trial registrationThe study has been registered on Chinese Clinical Trial Registry at https://www.chictr.org.cn/ (Registration number ChiCTR2400082036, on March 19th 2024).

Indexed as

Diabetes Mellitus, Type 2HypertensionInterrupted Time Series AnalysisPrimary Health CareChinaCost-Benefit AnalysisHumansProcess Assessment, Health CareHypertensionInterrupted time seriesPrimary health careType-2 diabetes

Identifiers

PMID39300422
PMCPMC11414291

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.