ArticleJournal of health, population, and nutrition2023
The effect gap of hypertension health management services in poverty and non-poverty counties on the hypertension control: evidence from China Chronic Diseases Risk Factors Surveillance.
Article in Journal of health, population, and nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- The effects of internet self-health management on patients with chronic disease multimorbidity: a 4-year longitudinal study.Frontiers in digital health · 2025Article
- Reduced Income and Its Associations with Physical Inactivity, Unhealthy Habits, and Cardiac Complications in the Hypertensive Population.European journal of investigation in health, psychology and education · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Chinese government implemented the health poverty alleviation project (HPAP) since 2016 in poverty counties (PCs). To evaluate the effect of the HPAP on hypertension health management and control in PCs is vital for the policy improvement.
methodsChina Chronic Disease and Risk Factors Surveillance programme were conducted from August 2018 to June 2019. A total of 95,414 participants aged 35 and above from 59 PCs and 129 non-poverty counties (NPCs) were involved in this study. Hypertension prevalence, hypertension control, treatment and health management prevalence, and physical examination proportion were calculated and compared by PCs and NPCs. Logistic regression was employed to explore the association between hypertension control and management services.
resultsThe hypertension prevalence in NPCs was significantly higher than that in PCs (NPCs 46.1% vs. PCs 41.2%, P < 0.001). The NPCs participants had a higher hypertension control prevalence (NPCs 32.7% vs. PCs 27.3%, P < 0.001) and treatment prevalence (NPCs 86.0% vs. PCs 80.0%, P < 0.001) than that in PCs. The proportion of physical examination in one year in NPCs was significantly higher than that in PCs (NPCs 37.0% vs. PCs 29.5%, P < 0.001). The proportion of diagnosed hypertension patients without hypertension health management in NPCs was significantly higher than that in PCs (NPCs 35.7% vs. PCs 38.4%, P < 0.001). Multivariable logistic regression showed that standardized and non-standardized hypertension health management were positively correlated with hypertension control in NPCs, and standardized hypertension health management was positively correlated with hypertension control in PCs.
conclusionsThese findings show the equity and accessibility gap of health resources still existed between PCs and NPCs under the influence of the HPAP. Hypertensive health management was effective for hypertension control in both PCs and NPCs. However, the quality of management services still needs to be improved.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.