Text Messages Show Promise as Next Step for Improving Heart Health in China

Motivational text messages are a well-liked, feasible new way to provide additional support to Chinese patients with heart disease, reports a preliminary study by researchers at Yale and in China. However, the study did not prove that these targeted text messages led to an improvement in blood pressure control amongst the recipients, the intended outcome.

Published in Circulation: Cardiovascular Quality and Outcomes, this study is the first of its kind to test a text message intervention aimed at improving heart health in a developing country.

"Text messaging is a promising strategy to reach patients outside of the office," said co-lead author, Erica Spatz, Yale cardiologist and researcher at the Center for Outcomes Research and Evaluation. "Most people have a cell phone, and with patients' permission, text messaging can be used to support specific health goals. We don't have to crunch all of health care into 20-minute visit slots."

With input from psychologists and motivational interviewing experts, the researchers developed a bank of text messages that would be culturally relevant for patients with heart disease living across diverse regions of China. Both educational and motivational in content, these near-daily text messages either provided patients with facts about heart disease or encouraged them to adhere to the standard secondary prevention strategies for heart disease, including healthy diet, regular exercise, and taking prescribed medications.

Although the texts ultimately did not produce the desired health outcome in this initial study - the effect on participants' blood pressure was modest - the patients "really liked the text messages," and nearly all indicated that they wanted the messages to continue past the six-month study period, said the researchers.

"Text messaging has the potential to support cardiovascular disease prevention, especially in China - a geographically large, populous country with high rates of heart disease," said Spatz. "But we need to target the text messages to the right patients, and we need to ensure that patients have opportunities to put health messages into action."

Xin Zheng, Erica S Spatz, Xueke Bai, Xiqian Huo, Qinglan Ding, Paul Horak, Xuekun Wu , Wenchi Guan, Clara K Chow, Xiaofang Yan, Ying Sun, Xiuling Wang, Haibo Zhang, Jiamin Liu, Jing Li, Xi Li, John A Spertus, Frederick A Masoudi, Harlan M Krumholz
Effect of Text Messaging on Risk Factor Management in Patients With Coronary Heart DiseaseChemical synthesis rewriting of a bacterial genome to achieve design flexibility and biological functionality.
Circulation: Cardiovascular Quality and Outcomes. 2019;12. doi: 10.1161/CIRCOUTCOMES.119.005616.

Most Popular Now

AI Tool Offers Deep Insight into the Imm…

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily...

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

Improved Cough-Detection Tech can Help w…

Researchers have improved the ability of wearable health devices to accurately detect when a patient is coughing, making it easier to monitor chronic health conditions and predict health risks such...

Multimodal AI Poised to Revolutionize Ca…

Although artificial intelligence (AI) has already shown promise in cardiovascular medicine, most existing tools analyze only one type of data - such as electrocardiograms or cardiac images - limiting their...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...