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Record W4405615255 · doi:10.2196/65783

Impact of the National Essential Public Health Service Package on Blood Pressure Control in Chinese People With Hypertension: Retrospective Population-Based Longitudinal Study

2024· article· en· W4405615255 on OpenAlexvenueno aff
Feiran Wei, You Ge, Yuan Liu

Bibliographic record

VenueJMIR Public Health and Surveillance · 2024
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBlood pressureMedicinePopulationInternal medicineLongitudinal studyEnvironmental health

Abstract

fetched live from OpenAlex

Background: The National Essential Public Health Service Package (NEPHSP) was launched in 2009 to tackle poor blood pressure control in Chinese people with hypertension; however, it's effect is still unclear. Objective: In a retrospective population-based longitudinal study, we aimed to evaluate effect of the NEPHSP on blood pressure control. Methods: A total of 516,777 patients registered in the NEPHSP were included. The blood pressure control data were assessed based on the Residence Health Record System dataset. We longitudinally evaluated the effects of the NEPHSP on blood pressure control by analyzing changes in blood pressure at quarterly follow-ups. Both the degree and trend of the blood pressure changes were analyzed. We conducted stratified analysis to explore effects of the NEPHSP on blood pressure control among subgroups of participants with specific characteristics. Results: The mean baseline systolic blood pressure (SBP) and diastolic blood pressure (DBP) were 147.12 (SD 19.88) mm Hg and 85.11 (SD 11.79) mm Hg, respectively. The control rates of baseline SBP and DBP were 39.79% (205,630/516,777) and 69.21% (357,685/516,777). Compared to baseline, the mean SBP decreased in each quarter by 5.06 mm Hg (95% CI -5.11 to -5.00; P<.001), 6.69 mm Hg (95% CI; -6.74 to -6.63; P<.001), 10.30 mm Hg (95% CI -10.34 to -10.23; P<.001), and 6.63 mm Hg (95% CI -6.68 to -6.57; P<.001). The SBP control rates increased in each quarter to 53.12% (274,493/516,777; β coefficient=0.60, 95% CI 0.59-0.61; P<.001), 56.61% (292,537/516,777; β coefficient=0.76, 95% CI 0.75-0.77; P<.001), 63.4% (327,648/516,777; β coefficient=1.08, 95% CI 1.07-1.09; P<.001), and 55.09% (284,711/516,777; β coefficient=0.69, 95% CI 0.68-0.70; P<.001). Compared to baseline, the mean DBP decreased in each quarter by 1.75 mm Hg (95% CI -1.79 to -1.72; P<.001), 2.64 mm Hg (95% CI -2.68 to -2.61; P<.001), 4.20 mm Hg (95% CI -4.23 to -4.16; P<.001), and 2.64 mm Hg (95% CI -2.68 to -2.61; P<.001). DBP control rates increased in each quarter to 78.11% (403,641/516,777; β coefficient=0.52, 95% CI 0.51-0.53; P<.001), 80.32% (415,062/516,777; β coefficient=0.67, 95% CI 0.66-0.68; P<.001), 83.17% (429,829/516,777; β coefficient=0.89, 95% CI 0.88-0.90; P<.001), and 79.47% (410,662/516,777; β coefficient=0.61, 95% CI 0.60-0.62; P<.001). The older age group had a larger decrease in their mean SBP (β coefficient=0.87, 95% CI 0.85-0.90; P<.001) and a larger increase in SBP control rates (β coefficient=0.054, 95% CI 0.051-0.058; P<.001). The participants with cardiovascular disease (CVD) had a smaller decrease in their mean SBP (β coefficient=-0.38, 95% CI -0.41 to -0.35; P<.001) and smaller increase in SBP control rates (β coefficient=-0.041, 95% CI -0.045 to -0.037; P<.001) compared to the blood pressure of participants without CVD. Conclusions: The NEPHSP was effective in improving blood pressure control of Chinese people with hypertension. Blood pressure control of older individuals and those with CVD need to be intensified.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.329
Teacher spread0.297 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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