Evidence map›Paper›PMID 41040818›Full record

ArticleInternational journal of general medicine2025

Practice and Effect Evaluation of Hypertension Homogenization Management Model Under the "Walking Hospital" Mode in Primary Medical Institutions.

Falin Weng, Gang Feng, Wei Lu, Libin Xu, Wenxiang Zhu, Man Tan, Pengjuan Weng, Yating Wang

Abstract read
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Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Falin WengThe Geriatric Department of People's Hospital of Wushan County, Chongqing, People's Republic of China.
Gang FengThe Geriatric Department of People's Hospital of Wushan County, Chongqing, People's Republic of China.
Wei LuThe Geriatric Department of People's Hospital of Wushan County, Chongqing, People's Republic of China.
Libin XuThe Geriatric Department of People's Hospital of Wushan County, Chongqing, People's Republic of China.
Wenxiang ZhuThe Geriatric Department of People's Hospital of Wushan County, Chongqing, People's Republic of China.
Man TanThe Geriatric Department of People's Hospital of Wushan County, Chongqing, People's Republic of China.
Pengjuan WengThe Geriatric Department of People's Hospital of Wushan County, Chongqing, People's Republic of China.
Yating WangThe Geriatric Department of People's Hospital of Wushan County, Chongqing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To practice and evaluate the effectiveness of a hypertension homogenization management model under the "walking hospital" mode in primary medical institutions. Methods: This study examines the impact of hypertension management under the "Walking Hospital" model in Wushan County, encompassing all eligible hypertension patients with established records from various townships and streets. The management approach involves standardized procedures, including unified blood pressure measurement, diagnostic evaluation, treatment follow-up, referral of acute and severe cases, and quality control standards. Data is collected through face-to-face interviews before and after the management initiative. Key indicators of observation include the status of hypertension control (awareness, treatment, and control rates) across different areas. Patient follow-up and data collection span from August 2023 to August 2024. Analysis is conducted using SPSS 22.0, with categorical variable data presented as percentages, and repeated measures ANOVA used for statistical analysis. Results: Prior to the implementation of the aforementioned management strategies, the prevalence of hypertension awareness in Wushan County was 50.35% (±7.09% SD), with a treatment rate of 42.73% (±7.20% SD) and a control rate of 16.25% (±2.49% SD). Following the implementation of these strategies, there was a significant increase in hypertension awareness to 72.85% (±4.99% SD), treatment rate to 60.92% (±3.78% SD), and control rate to 43.32% (±3.41% SD) in Wushan County (p<0.0001). Conclusion: Wushan County's "walking hospital" for hypertension management employs standardized procedures, encompassing uniform blood pressure measurement, diagnostic evaluation, treatment monitoring, emergency protocols for acute and severe cases, and stringent quality control standards. This approach effectively enhances the awareness, treatment adherence, and control of hypertension in the region.

Indexed as

awareness ratecompliance ratehypertensiontreatment ratewalking hospital

Identifiers

PMID41040818
PMCPMC12484106

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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.