Hyperlipidemia is a non-communicable disease (NCD) caused by several factors, such as a person's socioeconomic status, culture, customs, habits, and lifestyle. Through user interaction on social media, we can discover the model anti-hyperlipidemia by extracting information, complaints, suggestions, and calls for help about the treatment, which will play a role as an intervention to reduce hyperlipidemia in Indonesia. This study aimed to identify factors influencing perceptions of hyperlipidemia drugs and resulting sentiment on the social media platform Twitter. This study used user-uploaded tweet data to compare perceptions of hyperlipidemia drugs in 2020 and keywords for hyperlipidemia terms and medicine. Tweets related to anti-hyperlipidemia were extracted by issuing tweets containing advertisements, news, re-tweet, and content outside of health. The tweet data obtained was then carried out through content analysis, including point of view, theme, and sentiment analysis, to identify whether the resulting tweets are positive, neutral, or negative using the Support Vector Machine (SVM) method. We identified 1572 hyperlipidemia-related tweets and 153 specific tweets describing hyperlipidemia medications. Tweets about anti-hyperlipidemia showed 99 tweets from the first-person perspective, 23 from the second-person perspective, 22 from healthcare professionals, and nine unidentifiable (other). Sixty-three tweets talked about the benefits of lipid-lowering drugs, 17 complaint tweets, 49 suggestion tweets, 17 question tweets, and two side effect tweets. Assessing public perceptions and sentiment toward hyperlipidemia treatment can be used to develop strategies to increase treatment adherence, improve treatment outcomes, and target health promotion efforts.
Full text article
2. Ramesh S, Kosalram K. The burden of non-communicable diseases: A scoping review focus on the context of India. J Educ Health Promot. 2023;12:41. doi:10.4103/jehp.jehp_1113_22
3. Rhee EJ, Kim HC, Kim JH, Lee EY, Kim BJ, Kim EM, et al. 2018 Guidelines for the management of dyslipidemia. Korean J Intern Med. 2019;34(4):723–71. doi:10.3904/kjim.2019.188
4. Pedersen TR. The Success Story of LDL Cholesterol Lowering. Circ Res. 2016;118(4):721–31. doi:10.1161/circresaha.115.306297
5. Febriani D, Besral. The Effect of Lifestyle on Hypercholesterolemia. Open Public Health J. 2018;11:526–32. doi:10.2174/1874944501811010526
6. Abdullah SI, Yunita, Maria C. Distribution of Daily Use Local Language in Indonesia. Proceed Int Conf Educ Lang. 2014;2:205-11.
7. Banach M, Stulc T, Dent R, Toth PP. Statin non-adherence and residual cardiovascular risk: There is need for substantial improvement. Int J Cardiol. 2016;225:184–96. doi:10.1016/j.ijcard.2016.09.075
8. Stirratt MJ, Dunbar-Jacob J, Crane HM, Simoni JM, Czajkowski S, Hilliard ME, et al. Self-report measures of medication adherence behavior: recommendations on optimal use. Transl Behav Med. 2015;5(4):470–82. doi:10.1007/s13142-015-0315-2
9. Rehman H, Kamal AK, Morris PB, Sayani S, Merchant AT, Virani SS. Mobile Health (mHealth) Technology for the Management of Hypertension and Hyperlipidemia: Slow Start but Loads of Potential. Curr Atheroscler Rep. 2017;19(3):12. doi:10.1007/s11883-017-0649-y
10. Irawati S, Prayudeni S, Rachmawati R, Wita IW, Willfert B, Hak E, et al. Key factors influencing the prescribing of statins: a qualitative study among physicians working in primary healthcare facilities in Indonesia. BMJ Open. 2020;10(6):e035098. doi:10.1136/bmjopen-2019-035098
11. Rauf A, Akram M, Anwar H, Daniyal M, Munir N, Bawazeer S, et al. Therapeutic potential of herbal medicine for the management of hyperlipidemia: latest updates. Environ Sci Pollut Res. 2022;29(27):40281–301. doi:10.1007/s11356-022-19733-7
12. Maulana AE, Pradana HG. Regular medical checkup behaviour: preventing is better than curing. Asia Pac J Mark Logist. 2018;30(2):478–94. doi:10.1108/APJML-11-2016-0229
13. Otsuka T, Konta T, Sho R, Osaki T, Souri M, Suzuki N, et al. Factors associated with health intentions and behaviour among health checkup participants in Japan. Sci Rep. 2021;11(1):19761. doi:10.1038/s41598-021-99303-y
14. Islam SMS, Purnat TD, Phuong NTA, Mwingira U, Schacht K, Fröschl G. Non‐Communicable Diseases (NCDs) in developing countries: a symposium report. Global Health. 2014;10:81. doi:10.1186/s12992-014-0081-9
15. Agung FH, Sekartini R, Sudarsono NC, Hendarto A, Dhamayanti M, Werdhani RA, et al. The barriers of home environments for obesity prevention in Indonesian adolescents. BMC Public Health. 2022;22(1):2348. doi:10.1186/s12889-022-14669-6
16. Navar-Boggan AM, Peterson ED, D’Agostino RB, Neely B, Sniderman AD, Pencina MJ. Hyperlipidemia in Early Adulthood Increases Long-Term Risk of Coronary Heart Disease. Circulation. 2015;131(5):451–8. doi:10.1161/circulationaha.114.012477
17. Sprini D, Rini GB, Di Stefano L, Cianferotti L, Napoli N. Correlation between osteoporosis and cardiovascular disease. Clin Cases Miner Bone Metab. 2014;11(2):117-9.
18. Andriati A, Wahjudi RMT. Tingkat penerimaan penggunaan jamu sebagai alternatif penggunaan obat modern pada masyarakat ekonomi rendah-menengah dan atas. MKP. 2016 Sep 22;29(3):133-45. doi:10.20473/mkp.V29I32016.133-145
19. Wahyudi W, Srg DA, Alfiansyah NM. Literature Study: Indonesian Herbs with Cholesterol Level Lowering Activity. J Pharm Sci. 2022;5(2):36-45. doi:10.36341/jops.v5i2.2464
20. Alemi F, Torii M, Clementz L, Aron DC. Feasibility of Real-Time Satisfaction Surveys Through Automated Analysis of Patients’ Unstructured Comments and Sentiments. Qual Manag Health Care. 2012;21(1):9-19. doi:10.1097/qmh.0b013e3182417fc4
21. Gohil S, Vuik S, Darzi A. Sentiment Analysis of Health Care Tweets: Review of the Methods Used. JMIR Public Health Surveill. 2018;4(2):e43. doi:10.2196/publichealth.5789
22. Laroche E, L’Espérance S, Mosconi E. Use of social media platforms for promoting healthy employee lifestyles and occupational health and safety prevention: A systematic review. Saf Sci. 2020;131:104931. doi:10.1016/j.ssci.2020.104931
23. Torp S, Kokko S, Ringsberg KC. Promoting health in everyday settings: Opportunities and challenges. Scand J Public Health. 2014;42(15_suppl):3–6. doi:10.1177/1403494814553546
24. Dixit S, Nandakumar G. Promoting healthy lifestyles using information technology during the COVID-19 pandemic. Rev Cardiovasc Med. 2021;22(1):115-25. doi:10.31083/j.rcm.2021.01.187
25. Islam SMS, Tabassum R, Liu Y, Chen S, Redfern J, Kim SY, et al. The role of social media in preventing and managing non-communicable diseases in low-and-middle income countries: Hope or hype? Health Policy Technol. 2019;8(1):96–101. doi:10.1016/j.hlpt.2019.01.001
26. De Choudhury M, Morris MR, White RW. Seeking and Sharing Health Information Online: Comparing Search Engines and Social Media. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York (US): Association for Computing Machinery; 2014. p. 1365–76. doi:10.1145/2556288.2557214
27. Zullig LL, Sanders LL, Thomas S, Brown JN, Danus S, McCant F, et al. Health beliefs and desire to improve cholesterol levels among patients with hyperlipidemia. Patient Educ Couns. 2016;99(5):830–5. doi:10.1016/j.pec.2015.11.025
28. Ma D, Sakai H, Wakabayashi C, Kwon JS, Lee Y, Liu S, et al. The prevalence and risk factor control associated with noncommunicable diseases in China, Japan, and Korea. J Epidemiol. 2017;27(12):568–73. doi:10.1016/j.je.2016.12.019
Copyright (c) 2023 Murojil Hasan, Chairun Wiedyaningsih, Nanang Munif Yasin
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors continue to retain the copyright to the article if the article is published in the Borneo Journal of Pharmacy. They will also retain the publishing rights to the article without any restrictions.
Authors who publish with this journal agree to the following terms:
- Any article on the copyright is retained by the author(s).
- The author grants the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share work with an acknowledgment of the work authors and initial publications in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of published articles of work (eg, post-institutional repository) or publish it in a book, with acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their websites) prior to and during the submission process, as can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material are distributed under the Creative Commons Attribution-ShareAlike 4.0 International License.