Utilization of complementary and traditional medicine practitioners among middle-aged and older adults in India: results of a national survey in 2017–2018

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Abstract

Background

Lack of information exists about the use of traditional and complementary medicine (TCM) use among middle-aged and older adults in India, which led to studying the estimates of past-12-month Ayurveda/Yoga/Naturopathy/Unani/Siddha/Homeopathy (AYUSH) practitioner and traditional health practitioner (THP) utilization in India.

Methods

The study included 72,262 individuals (45 years and older) from the cross-sectional 2017–2018 Longitudinal Ageing Study in India (LASI) Wave 1.

Results

The prevalence of past 12-month AYUSH practitioner utilization was 6.5%, THP use 7.0%, and AYUSH or THP use 13.0%. The rate of AYUSH practitioner utilization was determined by older age (≥60 years) (Adjusted Odds Ratio-AOR: 1.20, 95% Confidence Interval-CI: 1.07–1.34), having pain (AOR: 1.48, 95% CI: 1.29–1.69), any bone or joint diseases (AOR: 1.57, 95% CI: 1.35–1.82), current tobacco use (AOR: 1.30, 95% CI: 1.12–1.50), male sex (AOR: 0.76, 95% CI: 0.68–0.85), high subjective socioeconomic status (AOR: 0.72, 95% CI: 0.60–0.87), urban residence (AOR: 0.71, 95% CI: 0.57–0.88), diabetes (AOR: 0.66, 95% CI: 0.55–0.81), chronic heart disease (AOR: 0.52, 95% CI: 0.37–0.73), and having a health insurance cover (AOR: 0.36, 95% CI: 0.30–0.44). The rate of THP utilization was determined by depressive symptoms (AOR: 1.17, 95% CI: 1.01–1.35), sleep problems (AOR: 1.28, 95% CI: 1.08–1.51), having pain (AOR: 1.82, 95% CI: 1.55–2.15), current tobacco use (AOR: 1.35, 95% CI: 1.22–1.51), having health insurance cover (AOR: 0.41, 95% CI: 0.33–0.51), hypertension (AOR: 0.82, 95% CI: 0.71–0.95), diabetes (AOR: 0.50, 95% CI: 0.39–0.65), urban residence (AOR: 0.25, 95% CI: 0.19–0.34), and high subjective socioeconomic status (AOR: 0.70, 95% CI: 0.58–0.85).

Conclusion

A moderate prevalence of AYUSH practitioner and THP use among middle-aged and older adults in India was found and several factors associated with AYUSH practitioner and THP use were identified.

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Most cited references 37

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Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale).

E M Andresen, J. A. Malmgren, W B Carter … (1994)

We derived and tested a short form of the Center for Epidemiologic Studies Depression Scale (CES-D) for reliability and validity among a sample of well older adults in a large Health Maintenance Organization. The 10-item screening questionnaire, the CESD-10, showed good predictive accuracy when compared to the full-length 20-item version of the CES-D (kappa = .97, P or = 16 for the full-length questionnaire and > or = 10 for the 10-item version. We discuss other potential cutoff values. The CESD-10 showed an expected positive correlation with poorer health status scores (r = .37) and a strong negative correlation with positive affect (r = -.63). Retest correlations for the CESD-10 were comparable to those in other studies (r = .71). We administered the CESD-10 again after 12 months, and scores were stable with strong correlation of r = .59.

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Who Uses CAM? A Narrative Review of Demographic Characteristics and Health Factors Associated with CAM Use

Felicity Bishop, G. Lewith (2008)

Complementary and Alternative Medicines (CAM) are used by an extensive number of patients in the UK and elsewhere. In order to understand this pattern of behavior, it is helpful to examine the characteristics of people who use CAM. This narrative review collates and evaluates the evidence concerning the demographic characteristics and health status factors associated with CAM use in community-based non-clinical populations. A systematic literature search of computerized databases was conducted, and published research papers which present evidence concerning associations between CAM use and demographic and health characteristics are discussed and evaluated. The evidence suggests that people who use CAM tend to be female, of middle age and have more education. In terms of their health, CAM users tend to have more than one medical condition, but might not be more likely than non-users to have specific conditions such as cancer or to rate their own general health as poor. The multivariate studies that have been conducted suggest that both demographic and health characteristics contribute independently to CAM use. In conclusion, demographic characteristics and factors related to an individual's health status are associated with CAM use. Future research is needed to address methodological limitations in existing studies.

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Use of traditional medicine in middle-income countries: a WHO-SAGE study

Oyinlola Oyebode, Ngianga-Bakwin Kandala, Peter Chilton … (2016)

It is frequently stated in the scientific literature, official reports and the press that 80% of Asian and African populations use traditional medicine (TM) to meet their healthcare needs; however, this statistic was first reported in 1983. This study aimed to update knowledge of the prevalence of TM use and the characteristics of those who access it, to inform health policy-makers as countries seek to fulfil the WHO TM strategy 2014–23 and harness TM for population health. Prevalence of reported use of TM was studied in 35 334 participants of the WHO-SAGE, surveyed 2007–10. TM users were compared with users of modern healthcare in univariate and multivariate analyses. Characteristics examined included age, sex, geography (urban/rural), income quintile, education, self-reported health and presence of specific chronic conditions. This study found TM use was highest in India, 11.7% of people reported that their most frequent source of care during the previous 3 years was TM; 19.0% reported TM use in the previous 12 months. In contrast <3% reported TM as their most frequent source of care in China, Ghana, Mexico, Russia and South Africa; and <2% reported using TM in the previous year in Ghana, Mexico, Russia and South Africa. In univariate analyses, poorer, less educated and rural participants were more likely to be TM-users. In the China multivariate analysis, rurality, poor self-reported health and presence of arthritis were associated with TM use; whereas diagnosed diabetes, hypertension and cataracts were less prevalent in TM users. In Ghana and India, lower income, depression and hypertension were associated with TM use. In conclusion, TM use is less frequent than commonly reported. It may be unnecessary, and perhaps futile, to seek to employ TM for population health needs when populations are increasingly using modern medicine.

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Author and article information

Contributors

Karl Peltzer: kfpeltzer@gmail.com

Journal

Journal ID (nlm-ta): BMC Complement Med Ther

Journal ID (iso-abbrev): BMC Complement Med Ther

Title: BMC Complementary Medicine and Therapies

Publisher: BioMed Central (London )

ISSN (Electronic): 2662-7671

Publication date (Electronic): 15 October 2021

Publication date PMC-release: 15 October 2021

Publication date Collection: 2021

Volume: 21

Electronic Location Identifier: 262

Affiliations

[1 ]GRID grid.10223.32, ISNI 0000 0004 1937 0490, ASEAN Institute for Health Development, , Mahidol University, ; Salaya, Phutthamonthon, Nakhon Pathom, Thailand

[2 ]GRID grid.411732.2, ISNI 0000 0001 2105 2799, Department of Research Administration and Development, , University of Limpopo, ; Turfloop, South Africa

[3 ]GRID grid.252470.6, ISNI 0000 0000 9263 9645, Department of Psychology, College of Medical and Health Science, , Asia University, ; Taichung, Taiwan

Article

Publisher ID: 3432

DOI: 10.1186/s12906-021-03432-w

PMC ID: 8518220

PubMed ID: 34654424

SO-VID: 5595d826-0e59-4cef-aea0-c05ec6abeaeb

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 22 February 2021

Date accepted : 24 September 2021

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Keywords: utilization,ayush,traditional healer,india

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Keywords: utilization, ayush, traditional healer, india

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Most cited references 37

Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale).

Who Uses CAM? A Narrative Review of Demographic Characteristics and Health Factors Associated with CAM Use

Use of traditional medicine in middle-income countries: a WHO-SAGE study

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