Prevalence and Patterns of Use of Natural Health Products and Medicines in New Zealand: A Pilot Study Using an Online Market Research Panel.

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
E Lyn Lee, Jeff Harrison, Joanne Barnes
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引用次数: 0

Abstract

Background: Traditional, complementary and alternative medicine (TCAM), including natural health products (NHPs), are used by many consumers to address their [perceived] health needs. While many developed countries have national data on NHPs use, limited information is available for New Zealand (NZ). Current, robust data on the prevalence and patterns of NHPs use in NZ are required.

Objective: This project explored the feasibility of conducting a national study and collecting preliminary data on the prevalence and patterns of use of NHPs, including access to and expenditure on NHPs, and of the use of conventional medicines in NZ using a newly designed bespoke questionnaire.

Methods: An online cross-sectional survey was administered to a sample of the adult population in NZ via an online market research panel in November 2021. Self-reported data on participants' use of NHPs (including photographs of products), consultations with TCAM practitioners and use of conventional medicines were collected. Data on the prevalence and patterns of use of NHPs were analysed and reported using descriptive statistics. Multivariable logistic regression was applied to assess the impact of sociodemographic variables on NHPs, TCAM practitioners and conventional medicines use.

Results: The final sample comprised 992 participants. Sociodemographic data for these participants were comparable to those reported for the NZ Census 2018. The frequency of missing data was < 10% for most of the questions; data quality for broad-level prevalence analysis was good, but was moderate to poor for analysis at the specific NHP or TCAM practitioner level. The specific product(s) and their respective ingredient list(s) could not be determined for most NHPs described as photographs were not uploaded, rendering product names unverifiable. Preliminary data indicate that 57.6% of participants have used NHPs and 22.9% consulted a TCAM practitioner in the last 12 months. Among current NHP users, 71.1% concurrently used one or more conventional medicines. Over half (53%) of the NHPs were self-selected (not recommended by a health practitioner). The median daily cost per NHP was NZD 0.28 (interquartile range NZD 0.14-0.50) and the median cost for visits to a TCAM practitioner over the last 12 months was NZD 120 (interquartile range NZD 40-270). Female participants, younger individuals and conventional medicine users were more likely to use NHPs/consult a TCAM practitioner/use any TCAM. Higher-income participants were more inclined to consult a TCAM practitioner. Individuals born overseas were more likely to use any type of TCAM.

Conclusions: There was a high prevalence of use of NHPs and of consultations with TCAM practitioners, which may reflect the extent of use in the general NZ population. Recognising the potential impact on patients' health outcomes, there is a need for a larger and nationally representative dataset, preferably linkable to other health data collections, to validate these preliminary findings.

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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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