| Literature DB >> 31742234 |
Enying Gong1, Hongsheng Lu1, Shuai Shao1, Xuanchen Tao1, Nicholas Peoples1, Brandon A Kohrt2,3, Shangzhi Xiong1, Catherine Kyobutungi4, Tilahun Nigatu Haregu4, Christopher Khayeka-Wandabwa4, Hoang Van Minh5, Tran Thi Duc Hanh5, Suraj Koirala6, Kamal Gautam6, Lijing L Yan1,2.
Abstract
BACKGROUND: Cardiometabolic diseases are the leading cause of death and disability in many low- and middle-income countries. As the already severe burden from these conditions continues to increase in low- and middle-income countries, cardiometabolic diseases introduce new and salient public health challenges to primary health care systems. In this mixed-method study, we aim to assess the capacity of grassroots primary health care facilities to deliver essential services for the prevention and control of cardiometabolic diseases. Built on this information, our goal is to propose evidence-based recommendations to promote a stronger primary health care system in resource-limited settings.Entities:
Keywords: Cardiometabolic diseases; Developing countries; Primary health care; Resource-limited settings
Year: 2019 PMID: 31742234 PMCID: PMC6849318 DOI: 10.1186/s41256-019-0124-0
Source DB: PubMed Journal: Glob Health Res Policy ISSN: 2397-0642
Fig. 1Overview of research activities and addressed research questions
Overview of the scope of fieldwork research activities
| Level of stakeholders | Activities |
|---|---|
| National Level | • At least 1 individual in-depth interview of a key national level policymaker a |
| Regional Level (2 regions for each country) | For each region: • 2 individual in-depth interviews of regional level policymakers a • 2 individual in-depth interviews of district-level policymakers a |
| Primary health care facility level (10 PHC facilities in total for each country) | For each primary health care facility: • 1 Facility Assessment Questionnaire • 1 individual in-depth interview of PHC provider/facility leader b • 10 structured questionnaires among people with CMDs • 1–2 individual in-depth interview among people with CMDs |
Note: aPolicymakers include people who hold a position within the district, regional, or national government or an institution that plays a key role in making or implementing policies that relate to the primary health care system or preventing NCDs
bThe PHC provider or facility leader needs to be knowledgeable to provide reliable information on behalf of their facility with at least 1 year working experience in the facility, good understanding of the capacity of the facility and NCD services
Basic demographic and economic information of four countries in the study
| Kenya | Vietnam | China | Nepal | |
|---|---|---|---|---|
| Basic characteristics a | ||||
| Geographic location | Sub-Saharan Africa | Southeast Asia | East Asia | South Asia |
| Income level | Lower middle | Lower middle | Upper middle | Low |
| GDP at market prices in 2017 (US dollar) | $79.26 billion | $223.78 billion | $12.24 trillion | $24.88 billion |
| Population, total in 2017 | 49.70 million | 95.54 million | 1.386 billion | 29.30 billion |
| Life expectancy at birth, total in 2016 (year) | 67.0 | 76.2 | 76.3 | 70.3 |
| Poverty headcount ratio at national poverty lines in 2017 (% of population) | 36.1% (in 2015) | 9.8% (in 2016) | 3.1% (in 2017) | 25.2% (in 2010) |
| Human Capital Index | 0.52 | 0.67 | 0.67 | 0.49 |
| The burden of NCDs and CMDs | ||||
| Proportional mortality due to NCD (% of all deaths) b | 27% | 77% | 89% | 66% |
| Premature mortality from NCDs between 30 and 70 years (%) | 13% | 17% | 17% | 22% |
| Proportional mortality due to Cardiovascular diseases (% of all deaths) b | 8% | 31% | 43% | 30% |
| Proportional mortality due to diabetes (% of all deaths) b | 1% | 4% | 2% | 4% |
| DALYs per 100,000 at all ages due to cardiovascular diseases in 2017 c | 1967.13 | 4393.08 | 6020.67 | 3859.18 |
| DALYs per 100,000 at all ages due to diabetes in 2017 c | 630.73 | 1109.21 | 709.68 | 708.95 |
Notes: aData from World Bank Data accessed through https://data.worldbank.org/
bData from the World Health Organization, Noncommunicable disease country profiles 2018, accessed through https://www.who.int/nmh/publications/ncd-profiles-2018/en/
cGlobal Burden of Disease Collaborative Network. Global Burden of Disease Study 2017 (GBD 2017) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018. Available from http://ghdx.healthdata.org/gbd-results-tool