การดูแลตนเองในผู้ที่มีโรคไม่ติดต่อเรื้อรัง และปัจจัยด้านเทคโนโลยีสารสนเทศสุขภาพที่เกี่ยวข้อง

Nantiwa Nantagonpitak; Soontaree Jianvitayakij; Apinya Siripitayakunkit

Authors

Nantiwa Nantagonpitak Ramathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University
Soontaree Jianvitayakij Ramathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University
Apinya Siripitayakunkit Ramathibodi School of Nursing, Faculty of Medicine Ramathibodi Hospital, Mahidol University

Keywords:

attitudes, ehealth literacy, noncommunicable diseases, self-care, social support

Abstract

Introduction: Currently, healthcare systems are using eHealth to improve service efficiency and patient outcomes. Studying factors related to eHealth will provide information to promote self-care among individuals with noncommunicable diseases.

Research objectives: This study aimed to examine the relationships between eHealth literacy, attitudes towards eHealth use, social support for eHealth use, and self-care among individuals with noncommunicable diseases.

Research methodology: This research adopted a descriptive correlational research design. A purposive sampling was employed to recruit 135 participants with noncommunicable diseases from a medical outpatient department at a tertiary hospital in Bangkok. Data were collected using the personal information questionnaire, the eHealth literacy questionnaire, the attitudes towards eHealth use questionnaire, the social support in eHealth use questionnaire, and the Self-Care of Chronic Illness Inventory. Data were analyzed using descriptive statistics and Spearman's rank correlation coefficient.

Results: The results showed that eHealth literacy (r = .36, p < .001) and attitudes toward eHealth use (r = .38, p < .001) had a significantly low positive correlation with self-care, while social support in eHealth use had a significantly very low positive correlation with self-care (r = .18, p < .05).

Conclusions: eHealth literacy, attitudes toward eHealth use, and social support in eHealth use are positively associated with self-care among individuals with noncommunicable diseases.

Implications: Healthcare providers should recommend the use of eHealth and facilitate patients' access to reliable and accurate online health information.

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References

World Health Organization. Noncommunicable diseases [Internet]. 2024 [cited 2025 Jan 6]. Available from: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases

World Health Organization. Noncommunicable diseases data portal [Internet]. 2019 [cited 2025 Jan 6]. Available from: https://ncdportal.org/

Division of Non Communicable Diseases. Morbidity and mortality rates from 2016 to 2019 [Internet]. 2020 [cited 2025 Jan 6]. Available from: http://thaincd.com/2016/mission3 (in Thai)

Riegel B, Jaarsma T, Stromberg A. A middle-range theory of self-care of chronic illness. Advances in Nursing Science 2012;35(3):194-204.

Paudel G, Vandelanotte C, Dahal PK, Biswas T, Yadav UN, Sugishita T, et al. Self-care behaviours among people with type 2 diabetes mellitus in South Asia: A systematic review and meta-analysis. Journal of Global Health [Internet]. 2022 [cited 2025 Aug 8];12:04056. Available from: https://doi.org/10.7189/jogh.12.04056

Witoolkollachit P. eHealth Strategy, Ministry of Public Health (2017 - 2026) [Internet]. 2017 [cited 2024 May 9]. Available from: https://ops.moph.go.th/public/download/eHealth_Strategy_THAI_16NOV17.pdf (in Thai)

Rattanapong S. Characteristics of fake news in Thailand and the approach to counter them [Internet]. 2024 [cited 2025 Jun 5]. Available from: https://repository.nida.ac.th/handle/662723737/5659 (in Thai)

Norman CD, Skinner HA. eHealth literacy: Essential skills for consumer health in a networked world. Journal of Medical Internet Research [Internet]. 2006 [cited 2024 May 9];8(2):e9. Available from: https://doi.org/10.2196/jmir.8.2.e9

Chuang HW, Kao CW, Lin WS, Chang YC. Factors affecting self-care maintenance and management in patients with heart failure: Testing a path model. The Journal of Cardiovascular Nursing 2019;34(4):297-305.

Wiangkaew KS, Rhiantong J, Panuthai S. Electronic health literacy and self-care among older persons with heart failure. Journal of Thailand Nursing and Midwifery Council 2024;39(3):357-72. (in Thai)

Ophasirikhosit P, Sriprasong S, Wattanakitkrileart D, Methavigul K. Factors predicting self-care in patients with atrial fibrillation. Nursing Science Journal of Thailand 2024;42(2):19-31. (in Thai)

Wongkampun S, Panitrat R. Factors influencing health information technology utilization behaviors among older people in Bangkok Metropolitan. Journal of Thailand Nursing and Midwifery Council 2023;38(3):182-99. (in Thai)

Borson S, Scanlan J, Brush M, Vitaliano P, Dokmak A. The mini-cog: A cognitive 'vital signs' measure for dementia screening in multi-lingual elderly. International Journal of Geriatric Psychiatry 2000;15(11):1021-7.

Trongsakul S, Lambert R, Clark A, Wongpakaran N, Cross J. Development of the Thai version of Mini-Cog, a brief cognitive screening test. Geriatrics & Gerontology International 2015;15(5):594–600.

Norman CD, Skinner HA. eHEALS: The eHealth literacy scale. Journal of Medical Internet Research [internet]. 2006 [cited 2024 May 16];8(4):e27. Available from: https://doi.org/10.2196/jmir.8.4.e27

Department of Health. eHealth literacy questionnaire [Internet]. 2022 [cited 2024 May 16]. Available from: https://multimedia.anamai.moph.go.th/infographics/ehealth-literacy-questionnaire/

Xie L, Zhang S, Xin M, Zhu M, Lu W, Mo PK. Electronic health literacy and health-related outcomes among older adults: A systematic review. Preventive Medicine [internet]. 2022 [cited 2025 Oct 1];157:106997. Available from: https://doi.org/10.1016/j.ypmed.2022.106997

Thato R. Nursing research: concepts to application. 7th ed. Bangkok: Chulalongkorn University Press; 2023. (in Thai)

Riegel B, Barbaranelli C, Sethares KA, Daus M, Moser DK, Miller JL, et al. Development and initial testing of the self-care of chronic illness inventory. Journal of Advanced Nursing 2018;74(10):2465-76.

Bunsuk C, Suwanno J, Klinjun N, Kumanjan W, Srisomthrong K, Phonphet C, et al. Cross-cultural adaptation and psychometric evaluation of the Thai version of self-care of chronic illness inventory Version 4.c. International Journal of Nursing Sciences 2023;10(3):332-44.

Riegel B, De Maria M, Barbaranelli C, Matarese M, Ausili D, Stromberg A, et al. Symptom recognition as a mediator in the self-care of chronic illness. Front. Public Health [internet]. 2022 [cited 2024 May 16];10:883299. Available from: https://doi.org/10.3389/fpubh.2022.883299

Madrigal L, Escoffery C. Electronic health behaviors among US adults with chronic disease: Cross-sectional survey. Journal of Medical Internet Research [Internet]. 2019 [cited 2024 May 9];21(3):e11240. Available from: https://doi.org/10.2196/11240

Wubante SM, Tegegne MD, Melaku MS, Kalayou MH, Tarekegn YA, Tsega SS, et al. eHealth literacy and its associated factors in Ethiopia: Systematic review and meta-analysis. PLoS One [internet]. 2023 [cited 2025 Oct 1];18(3):e0282195. Available from: https://doi.org/10.1371/journal.pone.0282195

Lee J, Tak SH. Factors associated with eHealth literacy focusing on digital literacy components: A cross-sectional study of middle-aged adults in South Korea. Digit Health [internet]. 2022 [cited 2025 Oct 1];8:20552076221102765. Available from: https://doi.org/10.1177/20552076221102765

Davis FD. User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies 1993;38:475-87.

Reiners F, Sturm J, Bouw LJW, Wouters EJM. Sociodemographic factors influencing the use of eHealth in people with chronic diseases. International Journal of Environmental Research and Public Health [internet]. 2019 [cited 2024 May 16];16(4):645. Available from: https://doi.org/10.3390/ijerph16040645

Riegel B, Jaarsma T, Lee CS, Stromberg A. Integrating symptoms into the middle-range theory of self-care of chronic illness. Advances in Nursing Science 2019;42(3):206-15.

Peimani M, Stewart AL, Ghodssi-Ghassemabadi R, Nasli-Esfahani E, Ostovar A. The moderating role of e-health literacy and patient-physician communication in the relationship between online diabetes information-seeking behavior and self-care practices among individuals with type 2 diabetes. BMC Primary Care [internet]. 2024 [cited 2025 Oct 1];25(1):442. Available from: https://doi.org/10.1186/s12875-024-02695-9