IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v33y2024i2-3p146-156.html
   My bibliography  Save this article

Acceptability, Preferred Medium, and Components of Nurse-Led Cardiac Telerehabilitation: A Cross-Sectional Study

Author

Listed:
  • Chaochao Hong
  • Qiong Yan
  • Hongmei Qi
  • Yaoyao Zhang
  • Ling Yu
  • Lijie Dong
  • Jing Wang

Abstract

Cardiac rehabilitation (CR) is a comprehensive and multidisciplinary secondary prevention care in coronary heart disease (CHD). There are barriers at the patient and health system levels that prevent CR from being utilized. Cardiac telerehabilitation led by nurses (Ne-CTR) can alleviate the obstacles to participation in CR. A patient perspective can improve CR access. This study was the first pre-program investigation to clarify the status of knowledge and participation in CTR. We sought to clarify the acceptability, the reasons for rejection, the desired form, components, and associated factors with the components needed for (Ne-CTR) in patients with CHD. The study aimed to help develop a protocol for Ne-CTR for Chinese patients with CHD. A cross-sectional study was conducted between 2020 and 2021. Hospitals in four provinces in China were included. The participants were 671 patients with CHD in hospitals located in three regions of China. A self-administered questionnaire collected information about demographics, knowledge, and participation in CTR, acceptability, preferred medium, and components of Ne-CTR. Student’s t- test, analysis of variance, and multiple linear regression analyzed the factors associated with component needs. All the analyses were conducted using IBM SPSS version 25.0. Most participants ( n  = 434, 66.77%) had a poor understanding and participation in CTR. In addition, 65.38% ( n  = 439) of participants were willing to accept the Ne-CTR program, and 43.56% ( n  = 98) identified safety as reasons for not accepting such a program. In the group accepting Ne-CTR, 35% chose hospital-designed professional applications as a medium for Ne-CTR when offered. Education (4.44 ± 1.056) and drug information (4.44 ± 1.040) had the highest average need score. Education, monthly income, marital status, previous CTR participation, and health insurance were associated with the demand level scores of Ne-CTR. This study demonstrated high levels of need for Ne-CTR among patients with CHD and identified the desired medium, components, and associated factors of Ne-CTR. These findings provide reference information for the construction of a Ne-CTR program.

Suggested Citation

  • Chaochao Hong & Qiong Yan & Hongmei Qi & Yaoyao Zhang & Ling Yu & Lijie Dong & Jing Wang, 2024. "Acceptability, Preferred Medium, and Components of Nurse-Led Cardiac Telerehabilitation: A Cross-Sectional Study," Clinical Nursing Research, , vol. 33(2-3), pages 146-156, March.
    • Handle: RePEc:sae:clnure:v:33:y:2024:i:2-3:p:146-156
    DOI: 10.1177/10547738241228634
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/10547738241228634
    Download Restriction: no
    File URL: https://libkey.io/10.1177/10547738241228634?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kuangnan Fang & BenChang Shia & Shuangge Ma, 2012. "Health Insurance Coverage and Impact: A Survey in Three Cities in China," PLOS ONE, Public Library of Science, vol. 7(6), pages 1-8, June.
    2. Rafaella Zulianello dos Santos & Sidnei Almeida & Andrea Korbes Scheafer & Marlus Karsten & Paul Oh & Magnus Benetti & Gabriela Lima de Melo Ghisi, 2023. "Feasibility of a Virtual Educational Programme for Behaviour Change in Cardiac Patients from a Low-Resource Setting," IJERPH, MDPI, vol. 20(11), pages 1-11, May.
    3. Kathryn O’Toole & Diane Chamberlain & Tracey Giles, 2020. "Exploration of a nurse practitioner‐led phase two cardiac rehabilitation programme on attendance and compliance," Journal of Clinical Nursing, John Wiley & Sons, vol. 29(5-6), pages 785-793, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kuangnan Fang & Yefei Jiang & BenChang Shia & Shuangge Ma, 2012. "Impact of Illness and Medical Expenditure on Household Consumptions: A Survey in Western China," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-8, December.
    2. Qing Wang, 2017. "Health of the Elderly Migration Population in China: Benefit from Individual and Local Socioeconomic Status?," IJERPH, MDPI, vol. 14(4), pages 1-12, April.
    3. Fang, Kuangnan & Wang, Xiaoyan & Shia, Ben-Chang & Ma, Shuangge, 2016. "Identification of proportionality structure with two-part models using penalization," Computational Statistics & Data Analysis, Elsevier, vol. 99(C), pages 12-24.
    4. Thanh Duc Nguyen & Andrew Wilson, 2017. "Coverage of health insurance among the near-poor in rural Vietnam and associated factors," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(1), pages 63-73, February.
    5. Yan Jiang & Yu Wang & Le Zhang & Yang Li & Xiaojun Wang & Shuangge Ma, 2013. "Access to Healthcare and Medical Expenditure for the Middle-Aged and Elderly: Observations from China," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-10, May.
    6. Yinjun Zhao & Bowei Kang & Yawen Liu & Yichong Li & Guoqing Shi & Tao Shen & Yong Jiang & Mei Zhang & Maigeng Zhou & Limin Wang, 2014. "Health Insurance Coverage and Its Impact on Medical Cost: Observations from the Floating Population in China," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    7. Jie Song & Hong Ji & Benchang Shia & Shuangge Ma, 2013. "Distribution of Illness and Medical Expenditure: A Survey in Two Villages in Rural Beijing," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-8, April.
    8. Runguo Wu & Niying Li & Angelo Ercia, 2020. "The Effects of Private Health Insurance on Universal Health Coverage Objectives in China: A Systematic Literature Review," IJERPH, MDPI, vol. 17(6), pages 1-21, March.
    9. Chaw-Yin Myint & Milena Pavlova & Khin-Ni-Ni Thein & Wim Groot, 2019. "A systematic review of the health-financing mechanisms in the Association of Southeast Asian Nations countries and the People’s Republic of China: Lessons for the move towards universal health coverag," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-18, June.
    10. Yang Li & Yinjun Zhao & Danhui Yi & Xiaojun Wang & Yan Jiang & Yu Wang & Xinchun Liu & Shuangge Ma, 2017. "Differences exist across insurance schemes in China post-consolidation," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-13, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:clnure:v:33:y:2024:i:2-3:p:146-156. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.