DETERMINANTS OF TRADITIONAL, COMPLEMENTARY, AND ALTERNATIVE MEDICINE (TCAM) CHOICES : A SYSTEMATIC REVIEW

Authors

  • Zainal Abidin Department of Public Health Sciences, Faculty of Public Health, Universitas Indonesia, Indonesia
  • Prastuti Soewondo Department of Public Health Sciences, Faculty of Public Health, Universitas Indonesia, Indonesia

Keywords:

Traditional, complementary, and Alternative Medicine (TCAM); choice; health

Abstract

Background: Traditional, complementary, and alternative medicine (TCAM) is one of the treatment methods that have existed for a long time. The use of TCAM as treatment is increasing in many countries. Extensively, TCAM is used to treat various diseases, especially patients with two or more chronic diseases. TCAM as treatment is chosen by the community based on their HBM (Health Belief Model). This study aims to look at the reasons patients choose to seek treatment at TCAM.

Methods: Systematic review with journal tracking through 3 database source, ProQuest, Scopus and Springer Link. We use the keywords "determinants” AND "traditional, complementary, and alternative medicine” for journals published in the last five years. Then we conduct critical appraisal of the selected journals. 

Results: From the five selected studies , we found that health satisfaction variables are the strongest reason in TCAM choice as treatment. They visit health modalities to improve their well-being or health status. Some believe and agree that TM is more safety, more convenient, more effective, cheaper, and easier to use. The use of TCAM is related to patient satisfaction, TCAM knowledge, outsides influence, positive perception, higher education, and more than 1 chronic illness. All these factors explain the model of peoples belief to health services.

Conclusions: Patient satisfaction was strongly predictor of TCAM choices. Their well-being have perceived more better after using TCAM services. The socio-demographic and socioeconomic variables are modifying factors that doesn't always influence patient decision. All these determinants enrich the HBM theory as follows patient satisfaction, patient knowledge, socio-demographic, socioeconomic, and distrust as barrier.

Downloads

Download data is not yet available.

References

K.Shein CKOGBCGGBKS. WHO Global Atlas of Traditional, Complementary and Alternative Medicine. 2005. p. 1–120.

Mee P, Wagner RG, GoÌmez-oliveÌ FX, Kabudula C, Kahn K, Madhavan S, et al. Changing use of traditional healthcare amongst

those dying of HIV related disease and TB in rural South Africa from 2003 – 2011 : a retrospective cohort study. 2014;

Zörg S, Purebl G, Zana AÌ. A qualitative study of culturally embedded factors in complementary and alternative medicine use.

;1–11.

James PB, Bah AJ. Awareness , use , attitude and perceived need for Complementary and Alternative Medicine ( CAM ) education

among undergraduate pharmacy students in Sierra Leone : a descriptive cross-sectional survey. 2014;1–10.

Nagashekhara M, Murthy V, Mruthyunjaya AT, Ann LL. An Empirical Study on Traditional , Complementary and Alternative

Medicine Usage among Malaysian Cancer Patients. 2015;16:6237–41.

Peltzer K, Pengpid S. Prevalence and Determinants of Traditional , Complementary and Alternative Medicine Provider Use among

Adults from 32 Countries. 2016;(727):1–7.

Nlooto M, Naidoo P. Traditional , complementary and alternative medicine use by HIV patients a decade after public sector

antiretroviral therapy roll out in South Africa : a cross sectional study. BMC Complement Altern Med [Internet]. 2016; Available

from: http://dx.doi.org/10.1186/s12906-016-1101-5

Peltzer K, Pengpid S, Puckpinyo A, Yi S, Anh LV. The utilization of traditional , complementary and alternative medicine for non-

communicable diseases and mental disorders in health care patients in Cambodia, Thailand, and Vietnam. BMC Complement Altern

Med [Internet]. 2016;1–11. Available from: http://dx.doi.org/10.1186/s12906-016-1078-0

Albabtain H, Alwhaibi M, Alburaikan K, Asiri Y. Quality of life and complementary and alternative medicine use among women

with breast cancer. Saudi Pharm J [Internet]. 2018;26(3):416–21. Available from: https://doi.org/10.1016/j.jsps.2017.12.020

Oxelmark L, Lindberg A, Löfberg R, Sternby B, Eriksson A, Almer S. Use of complementary and alternative medicine in Swedish

patients with in fl ammatory bowel disease : a controlled study. 2016;1320–8.

Teo TY, Yap J, Shen T, Yeo KK. Complementary and alternative medicine use amongst patients with cardiovascular disease in

Singapore. BMC Complement Altern Med [Internet]. 2016;1–7. Available from: http://dx.doi.org/10.1186/s12906-016-1430-4

Yonekura S, Okamoto Y, Sakurai D, Sakurai T, Horiguchi S, Kurono Y, et al. Allergology International Complementary and alternative medicine for allergic rhinitis in Japan. Allergol Int [Internet]. 2017;66(3):425–31. Available from:

http://dx.doi.org/10.1016/j.alit.2016.10.006

Kristoffersen AE, Stub T, Musial F, Fí¸nnebí¸ V, Lillenes O, Norheim AJ. Prevalence and reasons for intentional use of

complementary and alternative medicine as an adjunct to future visits to a medical doctor for chronic disease. 2018;1–8.

Welz AN, Emberger-klein A, Menrad K. Why people use herbal medicine : insights from a focus-group study in Germany. 2018;1–

Lulebo AM, Mapatano MA, Mutombo PB, Mafuta EM, Samba G, Coppieters Y. Prevalence and determinants of use of complementary and alternative medicine by hypertensive patients attending primary health care facilities in Kinshasa , Democratic Republic of the Congo : a cross- sectional study. 2017;1–9.

Melissa de Nijs. Complementary and Alternative Medicine : The History, Current Prevalence, and Future Projections. A Sr Thesis Submitt Partial fulfillment Requir Grad Honor Progr Lib Univ. 2013;1–48.

Sutton S. Health Behavior : Psychosocial Theories. Univ Cambridge, United Kingdom. 2002;1–10.

Main- T, Main- T, Medicine A. The Mainstreaming of Complementary and Alternative Medicine. 2004. 1-56 p.

Ee C, Thuraisingam S, Pirotta M, French S, Xue C, Teede H. World Congress Integrative Medicine & Health 2017 : part two. In:

BioMed Central. 2017. p. 1–65.

Stub T, Quandt SA, Arcury TA, Sandberg JC, Kristoffersen AE. Attitudes and knowledge about direct and indirect risks among

conventional and complementary health care providers in cancer care. BMC Complement Altern Med. 2018;1–12.

Tran BX, Nguyen NK, Nguyen LP, Nguyen CT, Nong VM. Preference and willingness to pay for traditional medicine services in rural ethnic minority community in Vietnam. BMC Complement Altern Med [Internet]. 2016;1 –9. Available from:

http://dx.doi.org/10.1186/s12906-016-1010-7

Jake Morris, Mariella Marzano, Norman Dandy LO. Theories and models of behaviour and behaviour change. 2012;1–27.

Abraham C, Sheeran P. The Health Belief Model. In: ResearchGate. 2016. p. 1–45.

Darvishpour A, Noroozi S. Can Health Belief Model Predict Breast Cancer Screening Behaviors ? 2018;6(5):949–53.

Constructs T, Concept T. Health Belief Model Chapter 4. In: Jones and Bartlett Publishers LLC [Internet]. 2003. Available from:

http://www.jblearning.com/samples/0763743836/chapter 4.pdf

Stickley A, Koyanagi A, Richardson E, Roberts B, Balabanova D, Mckee M. Prevalence and factors associated with the use of

alternative ( folk ) medicine practitioners in 8 countries of the former Soviet Union. 2013;

Published

2018-08-02

Issue

Section

Articles

How to Cite

DETERMINANTS OF TRADITIONAL, COMPLEMENTARY, AND ALTERNATIVE MEDICINE (TCAM) CHOICES : A SYSTEMATIC REVIEW. (2018). Proceedings of the International Conference on Applied Science and Health, 3, 160-167. https://publications.inschool.id/index.php/icash/article/view/770

Similar Articles

251-256 of 256

You may also start an advanced similarity search for this article.