Effect of a mHealth programme on coronary heart disease prevention among working population in Singapore: A single group pretest–post‐test design

Jiang, Ying; Jiao, Nana; Nguyen, Hoang D.; Lopez, Violeta; Wu, Vivien Xi; Kowitlawakul, Yanika; Poo, Danny Chiang Choon; Wang, Wenru

doi:10.1111/jan.13980

Cited by 13 publications

(20 citation statements)

References 32 publications

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“…A similar study from Singapore that targeted coronary heart disease prevention via an app measured risk awareness, knowledge of risk factors, perceived stress levels, and heart-related lifestyle measures as outcomes [ 91 ]. Jiang et al [ 91 ] concluded that the intervention increased risk awareness and disease knowledge and the effects persisted for at least 6 months. They did not measure disease risk or incidence as outcomes [ 91 ].…”

Section: Discussionmentioning

confidence: 99%

A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study

Buss¹,

Varnfield²,

Harris³

et al. 2022

JMIR Hum Factors

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Background Cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) are posing a huge burden on health care systems worldwide. Mobile apps can deliver behavior change interventions for chronic disease prevention on a large scale, but current evidence for their effectiveness is limited. Objective This paper reported on the development and user testing of a mobile app that aims at increasing risk awareness and engaging users in behavior change. It would form part of an intervention for primary prevention of CVD and T2DM. Methods The theoretical framework of the app design was based on the Behaviour Change Wheel, combined with the capability, opportunity, and motivation for behavior change system and the behavior change techniques from the Behavior Change Technique Taxonomy (version 1). In addition, evidence from scientific literature has guided the development process. The prototype was tested for user-friendliness via an iterative approach. We conducted semistructured interviews with individuals in the target populations, which included the System Usability Scale. We transcribed and analyzed the interviews using descriptive statistics for the System Usability Scale and thematic analysis to identify app features that improved utility and usability. Results The target population was Australians aged ≥45 years. The app included 4 core modules (risk score, goal setting, health measures, and education). In these modules, users learned about their risk for CVD and T2DM; set goals for smoking, alcohol consumption, diet, and physical activity; and tracked them. In total, we included 12 behavior change techniques. We conducted 2 rounds of usability testing, each involving 5 participants. The average age of the participants was 58 (SD 8) years. Totally, 60% (6/10) of the participants owned iPhone Operating System phones, and 40% (4/10) of them owned Android phones. In the first round, we identified a technical issue that prevented 30% (3/10) of the participants from completing the registration process. Among the 70% (7/10) of participants who were able to complete the registration process, 71% (5/7) rated the app above average, based on the System Usability Scale. During the interviews, we identified some issues related to functionality, content, and language and clarity. We used the participants’ feedback to improve these aspects. Conclusions We developed the app using behavior change theory and scientific evidence. The user testing allowed us to identify and remove technical errors and integrate additional functions into the app, which the participants had requested. Next, we will evaluate the feasibility of the revised version of the app developed through this design process and usability testing.

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Section: Discussionmentioning

confidence: 99%

A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study

Buss¹,

Varnfield²,

Harris³

et al. 2022

JMIR Hum Factors

View full text Add to dashboard Cite

show abstract

“…In previous studies, researchers only addressed one or two health outcomes in a single study, such as medication compliance, exercise, weight loss, LDL‐C control, health education, or psychology (Jiang et al, 2019; Lu et al, 2020; Mellwig et al, 2017; Pedersen et al, 2019; Pogosova et al, 2019; Zou et al, 2021). However, in our study, six primary outcomes and three secondary outcomes were verified according to the “ABCDE” strategy.…”

Section: Discussionmentioning

confidence: 99%

Secondary prevention of coronary heart disease: The effect of a nursing intervention using Cox's interaction model of client health behaviour

Shen

Wen

et al. 2021

Journal of Advanced Nursing

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Aims: Secondary prevention of coronary heart disease is of utmost importance to facilitate people to achieve health outcomes and behaviours. This study was to investigate the effect of a nursing intervention based on Cox's interaction model of client health behaviour to improve health outcomes and behaviours of secondary prevention of coronary heart disease.Design: This study is a cluster randomised controlled trial. Methods: Participants were recruited between August and November 2019 in two community settings in Hengyang city, Hunan province, China. Participants in the intervention group received a nursing intervention based on Cox's interaction model of client health behaviour and routine health education, while those in the control group received routine health education only. The outcome variables included self-management, physical activity, medication compliance, anxiety, sexual knowledge, the ability to identify sexual health education needs, blood pressure, body mass index (BMI), and low-density lipoprotein cholesterol (LDL-C). The influential statistical tests applied to analyse the data included χ 2 tests and t tests.Results: Seventy-seven participants completed this study. Compared with the control group (n = 40), the intervention group (n = 37) showed statistically significant better health outcomes and behaviours regarding self-management, physical activity (except for high energy consumption), medication compliance, anxiety, sexual knowledge, the ability to identify sexual health education needs, systolic blood pressure, BMI, and LDL-C. However, there was no statistically significant difference in diastolic blood pressure and high energy consumption for physical activity. Conclusion:A well-developed nursing intervention based on Cox's interaction model of client health behaviour could successfully improve health outcomes and behaviours of secondary prevention of coronary heart disease. Such an intervention may be incorporated into community healthcare practice by nurses to improve patient care. Impact: This study provides a valuable insight to facilitate further development of effective nursing interventions to improve secondary prevention of coronary heart disease in community settings.| 4105 SHEN Et al.

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“…However, CHD patients often have negative emotions such as anxiety, and poor self-efficacy. Jiang Ying et al have found that the self-management ability and nursing compliance of such patients decrease with the passage of time after discharge [ 7 , 8 ]. Therefore, strong external intervention measures are required.…”

Section: Introductionmentioning

confidence: 99%

Effect of Integrated Nursing Care Based on Medical Alliance Mode on the Prevention and Treatment of Complications and Self-Efficacy of Patients with Coronary Heart Disease after PCI

Zhao

Wang

2022

Journal of Healthcare Engineering

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Objective. To explore the effect of integrated nursing care based on the medical alliance model on prevention and treatment of complications and self-efficacy in patients with coronary heart disease (CHD) after PCI. Methods. The data of CHD patients treated in our hospital from January 2019 to January 2021 were analyzed in this retrospective study. One hundred and twenty patients were selected as the research subjects according to the inclusion and exclusion criteria and equally split into the observation group and reference group according to the order of admission. Both groups received routine nursing care, while the observation group was additionally given integrated nursing care based on the medical alliance model to compare the self-efficacy scores, scores of self-management abilities, and incidence of postoperative complications between the two groups before and after nursing. Both groups were nursed for 6 months. Results. Compared with the reference group, the observation group after nursing achieved a notably higher GSES score (26.10 ± 1.30 vs 22.18 ± 1.30, t = 16.516, P < 0.001 ), higher scores of self-management ability P < 0.001 , and a lower incidence of postoperative complications P < 0.05 . Conclusion. Integrated nursing care based on the medical alliance model can improve the self-efficacy of CHD patients undergoing PCI, enhance their self-management ability, and reduce the incidence of postoperative complications, which is conducive to improving the prognosis of patients.

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Effect of a mHealth programme on coronary heart disease prevention among working population in Singapore: A single group pretest–post‐test design

Cited by 13 publications

References 32 publications

A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study

A Mobile App for Prevention of Cardiovascular Disease and Type 2 Diabetes Mellitus: Development and Usability Study

Secondary prevention of coronary heart disease: The effect of a nursing intervention using Cox's interaction model of client health behaviour

Effect of Integrated Nursing Care Based on Medical Alliance Mode on the Prevention and Treatment of Complications and Self-Efficacy of Patients with Coronary Heart Disease after PCI

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