Can Goal-Based Health Management Improve the Health Knowledge, Health Belief and Health Behavior in People at High Risk of Stroke? A Non-Randomized Controlled Trial

He, Yu; Guo, Lina; Liu, Yanjin; Miao, Wei; Guo, Yuanli; Dong, Xianjun; Yang, Chen; Zhou, Qing; Lei, Xiaoyu; Zhang, Gege; Zhang, Mengyu

doi:10.2147/ndt.s334229

Cited by 3 publications

(3 citation statements)

References 42 publications

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“…Health belief is the driving force for healthy behavior change and the most direct influencing factor for health behavior improvement [ 34 ]. The intervention group's health management motivation was continuously generated and strengthened, and their health beliefs were greatly improved, which was consistent with the result of other researchers [ 35 , 36 ]. Compared to the results of the Meng Yao Wang's study [ 37 ], health behaviors of high-risk for stroke groups have been greatly improved after the intervention in this study.…”

Section: Discussionsupporting

confidence: 88%

Effectiveness of health management among individuals at high risk of stroke: An intervention study based on the health ecology model and self-determination theory (HEM-SDT)

Guo,

Zhang,

Namassevayam

et al. 2023

Heliyon

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Section: Discussionsupporting

confidence: 88%

Effectiveness of health management among individuals at high risk of stroke: An intervention study based on the health ecology model and self-determination theory (HEM-SDT)

Guo,

Zhang,

Namassevayam

et al. 2023

Heliyon

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“…This underscores the importance of researchers considering the economic circumstances of patients. Tailored intervention strategies should be developed to facilitate the adoption of health behaviour among patients, taking into account these economic factors (He et al., 2021).…”

Section: Discussionmentioning

confidence: 99%

Factors associated with health behaviours among stroke survivors: A mixed‐methods study using COM‐B model

Zhang,

Guo,

Namassevayam

et al. 2024

Journal of Clinical Nursing

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AimsTo identify factors associated with health behaviours among stroke survivors, through a multi‐centre study.DesignA sequential mixed methods design.MethodsIn the quantitative research phase, a total of 350 participants were recruited through multi‐stage sampling from December 2022 to June 2023. General information questionnaires, The Stroke Prevention Knowledge Questionnaire (SPKQ), Short Form Health Belief Model Scale (SF‐HBMS), Health Promoting Lifestyle Profile (HPLPII), and the WHOQOL‐BREF (World Health Organization Quality of Life Questionnaire, Brief Version) were distributed across five tertiary hospitals in Henan province, China. For the qualitative research component, semi‐structured interviews were conducted to explore the barriers and facilitators of health behaviour. This study adheres to the GRAMMS guidelines.ResultsA total of 315 participants (90.0%) completed the survey. Identified barriers to health behaviour included residing in rural areas, higher scores on the Charlson Comorbidity Index (CCI) and mRS, as well as lower scores on SPKQ, SF‐HBMS and WHOQOL‐BREF. Twenty‐four individuals participated in qualitative interviews. Twenty‐eight themes were identified and categorised by frequency, covering areas such as knowledge, skills, intentions, social influences, social/professional role and identity, environmental context and resources, beliefs about capabilities, beliefs about consequences and behavioural regulation. Both quantitative and qualitative data suggested that health behaviour among stroke survivors is at a moderate level, and the identified barrier factors can be mapped into the COM‐B model (Capability, Opportunity, Motivation and Behaviour).ConclusionThe study indicates that key barriers to health behaviour among stroke survivors align with the COM‐B model. These identified factors should be carefully considered in the planning of future systematic interventions aimed at improving health behaviours among stroke survivors.Patient or Public ContributionPatients were invited to completed questionnaires in the study and semi‐structured interviews. The investigators provided explanation of this study’ content, purpose and addressed issues during the data collection.

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“…Early studies highlighted medical staff in the health knowledge transmission. For example, medical professionals could effectively improve the health knowledge of people at high risk of stroke [ 44 ]. In addition, multiple studies indicated that health information could be disseminated by WeChat [ 45 , 46 ], internet/social media [ 47 , 48 ], visual messages [ 49 ], text books [ 50 ], blogs [ 51 ], social media [ 52 ], iPad-based app [ 53 ], short-video app TikTok [ 54 , 55 ], Sina Weibo [ 56 ], booklet [ 57 ], mass media [ 58 ], and web-based educational film [ 59 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Association between ethnicity and health knowledge among the floating population in China

Han

Guan

2022

Cost Eff Resour Alloc

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Background Health equity remains a priority concerns by central government in China. This study aimed to explore ethnic gaps in access to health knowledge categories and sources based on the survey data from a publicly available dataset. Methods Data were from 2015 China Migrants Dynamic Survey issued by The National Health Commission in China. Descriptive analyses were performed to reflect geodemographic differences in the floating population of ethnic minority (EMFP) and Han majority (HMFP) with Chi-square test. Ethnic gaps in access to health knowledge categories and sources were explored with Poisson regressions, logistic regressions, and bivariate ordered probit regressions. Results In the sample, most of participants had inadequate health information literacy. There were significant differences regarding geodemographic factors between EMFP and HMFP. Illiterate EMFP had likelihood to obtain less health knowledge categories (IRR = 0.80, 95% CI 0.77–0.84) and sources (IRR = 0.83, 95% CI 0.80–0.86) as compared to illiterate HMFP. Most of correlations between health knowledge categories and sources were weak in the samples of EMFP and HMFP. Conclusion Ethnic disparities in access to health knowledge categories and sources among the floating population in China were confirmed. Further effective efforts should be provided to reduce ethnic disparities in access to health knowledge under the ethnicity-orientated support of public health resource.

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Can Goal-Based Health Management Improve the Health Knowledge, Health Belief and Health Behavior in People at High Risk of Stroke? A Non-Randomized Controlled Trial

Cited by 3 publications

References 42 publications

Effectiveness of health management among individuals at high risk of stroke: An intervention study based on the health ecology model and self-determination theory (HEM-SDT)

Effectiveness of health management among individuals at high risk of stroke: An intervention study based on the health ecology model and self-determination theory (HEM-SDT)

Factors associated with health behaviours among stroke survivors: A mixed‐methods study using COM‐B model

Association between ethnicity and health knowledge among the floating population in China

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