TY  - BOOK
AU  - Guerrero, Cluadine
AU  - Hussain, Syeda Ameenah
AU  - Dela Cruz, Leanne
AU  - Deang, Ma. Sophia Angelica
AU  - Diccion, Regina Lyne
AU  - Geronimo, Karl
AU  - Hernandez, Jona Kristine
AU  - Garcia, Marian Luisa
AU  - Grupo, Justin Martel
AU  - Huliganga, Angelo
TI  - Prevalence and factors affecting the use of complementary medicine during the COVID-19 Omicron sub-variant BA.5 wave in the Philippines / 
AV  - M CFM 2023 0012 
PY  - 2023///
CY  - Fairview, Quezon City
PB  - Department of Community Family and Medicine, FEU-NRMF
N1  - Includes bibliographical references; THDCFM
N2  - Abstract:  The COVID-19 pandemic prompted an increase in the influx of health-seeking behavior of Filipinos. This study aimed to determine the prevalence of CAM use and the factors for its usage during the COVID-19 pandemic which can provide understanding for medical professionals on how to proactively consider public preferences in the prevention and treatment of COVID-19.  The research data was processed using an online questionnaire by collecting responses from 377 participants through convenience sampling via social media conducted from March 29 to April 13, 2023. This study used a revised questionnaire which is composed of informed consent, demographic characteristics and factors that may influence the use of complementary and alternative medicine, questions pertaining to the use of social media, presence of illness, and frequency of visit to a medical doctor. The data was analyzed using Pearson's Chi Square Test and Multiple Logistic Regression.  89.77% respondents are CAM users (Herbs/Herbal supplements/Herbal tea (33.25%), Essential oils (34.04%), Massage/Hilot/Chiropracting(35.55%), Steam bath/Steam inhalation (21.74%), Vitamins/Mineral Supplements (78.52%), Meditation/yoga/Tai Chi (8.95%), Consulted a spiritual healer/Albularyo (0.51%).) and majority of them are aged 18-25 y/o (51.15%), Female (65.47%), Single (64.96%), Middle Income (54.48%) and College graduate (58.57%). They also spend >4 hrs in social media use (58.31%), no underlying present illness (78.77%) with less than 3 visits to a healthcare provider in the last 3 months (83.38). Results also show that among the factors, only sex (p-value=0.05 ) has a significant correlation with CAM use. However, multiple regression analysis revealed that none of these parameters are predictive factors for CAM use.  Inclusion, findings in this study show that while prevalence of CAM use was apparent in certain groups, further studies need to be done to arrive at more conclusive results. Such may be done by analyzing findings fro a more balanced group of participants. This approach may also be considered to further analyze sex as a predictive factor for CAM use
ER  -