Key result
Cluster RCT evaluates IoT-based decision support system for primary care hypertension management.
Why the study?
Hypertension control rates remain low in China due to limited primary care worker capacity and poor patient self-management, highlighting the need for digital decision-support and continuous management tools.
Does a CDSS and IoT-based comprehensive hypertension management system improve blood pressure control in primary care patients with hypertension?
RCT (n=1,100)
Open-label
Computer-generated random numbers for cluster crossover order
Yes
Does a CDSS and IoT-based comprehensive hypertension management system improve blood pressure control in primary care patients with hypertension?
This study protocol outlines a stepped wedge cluster RCT to evaluate whether a CDSS and IoT-based hypertension management system can improve blood pressure control and guideline adherence in primary care settings.
Should not yet change primary-care practice; leaves open whether digital hypertension management improves BP control.
BACKGROUND: Cardiovascular and cerebrovascular diseases are the leading causes of death in the Chinese population, and hypertension is one of the key risk factors. However, the blood pressure control rate of hypertensive patients is low at present. The main factors include the limited capacity of primary care workers and poor self-management among hypertensives. The purpose of this program is to use a clinical decision support system (CDSS) and an Internet of Things-based comprehensive hypertension management system (CATCH) to provide decision support for the diagnosis and treatment of hypertension for primary care clinicians and to improve the standardisation of the diagnosis, monitoring, treatment, and continuous management of hypertension among them. METHODS: This study is a stepped wedge cluster randomised controlled trial conducted in 12 community health centres in the Third People's Hospital of Longgang District, Shenzhen City, China. All participants who are registered in the community and with systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg at the screening clinic will be asked to participate in the study. The intervention is a CATCH composite of a hypertension auxiliary decision-making module, clinical diagnosis and treatment knowledge education system, and quality control system. All 12 clusters will be divided into 4 clusters and 5 stages according to a randomised method, with each stage lasting 3 months, ensuring that the entire trial will be completed within 12 months. DISCUSSION: The CATCH trial uses CDSS and IoT to improve hypertension management in primary care. This stepped wedge trial enhances guideline adherence and patient outcomes through remote monitoring and quality control. All centres receive the intervention, ensuring equitable access to it. Results will guide future hypertension strategies. TRIAL REGISTRATION: The trial was registered at the National Medical Research Registration and Record Filing Information System of China in December 2024, was retrospectively registered at the Chinese Clinical Trial Registry (ChiCTR) (Registration number: ChiCTR2500098845) https://www.chictr.org.cn/.
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Peng et al. (2026) conducted an RCT in Essential hypertension (n=1,100). CATCH (Clinical decision support system and Internet of Things-based comprehensive hypertension management system) vs. Usual clinical diagnosis and treatment with home blood pressure monitoring was evaluated on Mean difference of the changes of the systolic blood pressure (SBP) and the diastolic blood pressure (DBP) from the first measurement to the last measurement. This is a study protocol for a stepped wedge cluster randomized trial evaluating the effectiveness of a clinical decision support and IoT-based system for hypertension management in primary care.
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