Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress
Clinical Collections
Advances in Alzheimer’s

Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
ADVANCED SEARCH
Log in
Top
BMC Complementary Medicine and Therapies
Published in: BMC Complementary Medicine and Therapies 1/2023

Open Access 01-12-2023 | Research

Factors affecting the intention of Iranian rural women to use medicinal herbs

Authors: Heshmatollah Saadi, Somayeh Jafari, Saeid Karimi

Published in: BMC Complementary Medicine and Therapies | Issue 1/2023

Login to get access

Abstract

Background

This study aimed to identify factors affecting the behavioral intention of Iranian rural women to use medicinal herbs. The research model was developed by integrating “dissatisfaction with modern medicine” into the “theory of planned behavior”.

Methods

Data were collected through questionnaire from a sample of 260 Iranian rural women, which were randomly selected. The validity and reliability of the scale were confirmed using expert opinions and Cronbach’s alpha method, respectively.

Results

Based on the results of structural equation modeling, attitude (β = 0.44; p < 0.01), subjective norms (β = 0.27; p < 0.01) and dissatisfaction with modern medicine (β = 0.11; p < 0.05) had significant positive effects on rural women’s intention to use medicinal herbs. In addition, subjective norms indirectly affected rural women’s intention to use medicinal herbs through attitude (β = 0.23; p < 0.01).

Conclusions

Subjective norms was a key factor in determining the intention of Iranian rural women to use medicinal herbs, followed by attitude and dissatisfaction with modern medicine. Therefore, this study could contribute to our understanding on how the intention of Iranian rural women to use medicinal herbs was influenced by different factors.
Appendix
Available only for authorised users
Literature
1.
World Health Organization. WHO global report on traditional and complementary medicine 2019. World Health Organization; 2019.
2.
Raina R, Gautam K. (2020). Conservation and utilization of high-altitude threatened medicinal plants. Conservation and Utilization of Threatened Medicinal Plants (369–87).Springer, Cham.
3.
Yeganeh H, Farsi R, Frozeh MR, Pournemati A, Mirdeilami SZ. A study of variables affecting the consumption of medicinal plant products in urban communities, north of Iran. Environ Dev Sustain. 2022;24(5):7455–69.CrossRef
4.
Islahudin F, Shahdan IA, Mohamad-Samuri S. Association between belief and attitude toward preference of complementary alternative medicine use. Patient Prefer Adherence. 2017;11:913.CrossRefPubMedPubMedCentral
5.
Mohamad TAST, Islahudin F, Jasamai M, Jamal JA. Preference, perception and predictors of herbal medicine use among malay women in Malaysia. Patient Prefer Adherence. 2019;13:1829.CrossRef
6.
Sadeghi Z, Kuhestani K, Abdollahi V, Mahmood A. Ethnopharmacological studies of indigenous medicinal plants of Saravan region, Baluchistan, Iran. J Ethnopharmacol. 2014;153(1):111–8.CrossRefPubMed
7.
Rezaei R, Safa L, Miyanjy S. Affecting factors on the rural women’s intentions to use herbal medicines in Karaj township. Q J Women Soc. 2017;8(31):1–18.
8.
Ghavam M, Kiani Salami S. Indicators affecting the tendency of women to use medicinal herbs (Case study: employees of University of Kashan). Human & Environment; 2019.
9.
Paryab M, Raeeszadeh M. The study of the rate and reasons of medical herb use by the patients visiting the specialized treatment centers in Fars province in 2014. Community Health Journal. 2016;10(2):62–71.
10.
Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211.CrossRef
11.
Dzulkipli MR, Azizam NA, Maon SN, Aziz NISA, Azlan NM, Razak NS, …, Roslan NS. Application of theory of planned behavior to predict the intention to purchase complementary and alternative medicine. Int Tourism Hospitality J. 2019;2(3):1–7.
12.
Karimian Z, Sadat Z, Afshar B, Hasani M, Araban M, Kafaei-Atrian M. Predictors of self-medication with herbal remedies during pregnancy based on the theory of planned behavior in Kashan, Iran. BMC Complement Med Ther. 2021;21(1):1–7.CrossRef
13.
Glanz K, Rimer BK, Viswanath K, editors. Health behavior and health education: theory, research, and practice. John Wiley & Sons; 2008.
14.
McEachan RRC, Conner M, Taylor NJ, Lawton RJ. Prospective prediction of health-related behaviours with the theory of planned behaviour: a meta-analysis. Health Psychol Rev. 2011;5(2):97–144.CrossRef
15.
Alami A, Tavakoly Sany SB, Tehrani H, Lael-Monfared E, Hosseini Z, Jafari A. The effect of educational intervention on iron and vitamin D consumption based on the theory of planned behaviour in iranian adolescent girls: a quasi-experimental study. Int J Health Promotion Educ. 2019;57(6):316–31.CrossRef
16.
Koh MZY, Goh YN. Willingness to pay for traditional, complementary and alternative medicine (TCAM) among malaysian adults. Int J Pharm Healthc Mark. 2021;15(2):312–30.CrossRef
17.
Ng TK, Lo MF, Fong BY, Yee HH. Predictors of the intention to use traditional chinese medicine (TCM) using extended theory of planned behavior: a cross-sectional study among TCM users in Hong Kong. BMC Complement Med Ther. 2022;22(1):1–11.CrossRef
18.
Fishbein M, Ajzen I. Predicting and changing behavior: the reasoned action approach. Psychology press; 2011.
19.
Oliver RL. A cognitive model of the antecedents and consequences of satisfaction decisions. J Mark Res. 1980;17(4):460–9.CrossRef
20.
Hailu F, Cherie A, Gebreyohannis T, Hailu R. Determinants of traditional medicine utilization for children: a parental level study in Tole District, Oromia, Ethiopia. BMC Complement Med Ther. 2020;20(1):1–11.CrossRef
21.
Welz AN, Emberger-Klein A, Menrad K. Why people use herbal medicine: insights from a focus-group study in Germany. BMC Complement Altern Med. 2018;18(1):1–9.CrossRef
22.
Astin JA. Why patients use alternative medicine: results of a national study. JAMA. 1998;279(19):1548–53.CrossRefPubMed
23.
Kifle ZD. Prevalence and correlates of complementary and alternative medicine use among diabetic patients in a resource-limited setting. Metabolism Open. 2021;10:100095.CrossRefPubMedPubMedCentral
24.
Chetoui A, Kaoutar K, Boutahar K, El Kardoudi A, BenChaoucha-Chekir R, Chigr F, Najimi M. Herbal medicine use among moroccan type 2 diabetes patients in the Beni Mellal-Khenifra region. J Herb Med. 2021;29:100480.CrossRef
25.
Sojasi Qidari H, Afshar Z. Assessment of trends to traditional treatments by using herbal medicine in rural areas. Med Hist. 2017;7(24):185–220.
26.
Mohammadi Zeidi I, Hajiagha P, A., Zeidi M, B. Reliability and validity of Persian version of the health-promoting lifestyle profile. J Mazandaran Univ Med Sci. 2012;21(1):102–13.
27.
Hair J, Hollingsworth CL, Randolph AB, Chong AYL. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Manage Data Syst.
28.
Henseler J, Hubona G, Ray PA. Using PLS path modeling in new technology research: updated guidelines. Industrial Manage Data Syst. 2016;116(1):2–20.CrossRef
29.
Tenenhaus M, Vinzi VE, Chatelin YM, Lauro C. PLS path modeling. Comput Stat Data Anal. 2005;48(1):159–205.CrossRef
30.
Ismail S, Mokhtar S. The antecedents of herbal product actual purchase in Malaysia. Manage Sci Lett. 2015;5(8):771–80.CrossRef
31.
Karimi S, Saghaleini A. Factors influencing ranchers’ intentions to conserve rangelands through an extended theory of planned behavior. Global Ecol Conserv. 2021;26:e01513.CrossRef
32.
Sereshti M, Azari P. Prevalence use of herbal drug and attitude of women about use of herbal product among women refer to health care center in Shahrekord. Knowl Health. 2008;2(4):20–6.
33.
Michlig M, Ausfeld-Hafter B, Busato A. Patient satisfaction with primary care: a comparison between conventional care and traditional chinese medicine. Complement Ther Med. 2008;16(6):350–8.CrossRefPubMed
Metadata
Title
Factors affecting the intention of Iranian rural women to use medicinal herbs
Authors
Heshmatollah Saadi
Somayeh Jafari
Saeid Karimi
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Complementary Medicine and Therapies / Issue 1/2023
Electronic ISSN: 2662-7671
DOI
https://doi.org/10.1186/s12906-023-03964-3

Other articles of this Issue 1/2023

BMC Complementary Medicine and Therapies 1/2023 Go to the issue

Study Protocol

Tai Chi for the prophylaxis of episodic migraine: protocol of a non-inferiority randomized controlled trial with mechanism exploration

Research

Jatrophone: a cytotoxic macrocylic diterpene targeting PI3K/AKT/NF-κB pathway, inducing apoptosis and autophagy in resistant breast cancer cells

Research

Prevalence and correlates of multimorbidity among patients attending AYUSH primary care settings in Delhi-National Capital Region, India

Research

In vitro antiplasmodial activity and toxicological profile of extracts, fractions and chemical constituents of leaves and stem bark from Dacryodes edulis (Burseraceae)

Research

Integrated investigation and discovery of therapeutic targets for 3-hydroxybakuchiol against diabetes based on molecular docking studies and cell experiments

Study Protocol

Effects of transcutaneous electrical acupoint stimulation (TEAS) on postoperative pain in patients undergoing gastric and esophageal ESD surgery: a study protocol for a prospective randomized controlled trial