Lee E Lyn, Harrison Jeff, Barnes Joanne
School of Pharmacy, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
Drugs Real World Outcomes. 2025 Mar 19. doi: 10.1007/s40801-025-00482-1.
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.
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.
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.
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.
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.
包括天然健康产品(NHPs)在内的传统、补充和替代医学(TCAM)被许多消费者用于满足他们(所感知的)健康需求。虽然许多发达国家有关于NHPs使用情况的国家数据,但新西兰(NZ)的相关信息有限。目前需要关于新西兰NHPs使用流行率和模式的可靠数据。
本项目探讨了开展一项全国性研究并使用新设计的定制问卷收集关于NHPs使用流行率和模式(包括获取NHPs的途径和支出)以及新西兰常规药物使用情况的初步数据的可行性。
2021年11月,通过在线市场研究小组对新西兰成年人口样本进行了一项在线横断面调查。收集了参与者关于NHPs使用情况(包括产品照片)、与TCAM从业者的咨询以及常规药物使用情况的自我报告数据。使用描述性统计分析和报告NHPs使用流行率和模式的数据。应用多变量逻辑回归评估社会人口统计学变量对NHPs、TCAM从业者和常规药物使用的影响。
最终样本包括992名参与者。这些参与者的社会人口统计学数据与2018年新西兰人口普查报告的数据相当。大多数问题的缺失数据频率<10%;总体流行率分析的数据质量良好,但在特定NHPs或TCAM从业者层面的分析中质量中等至较差。由于未上传照片,大多数被描述为照片的NHPs无法确定具体产品及其各自的成分清单,导致产品名称无法核实。初步数据表明,57.6%的参与者在过去12个月内使用过NHPs,22.9%的参与者咨询过TCAM从业者。在当前的NHPs使用者中,71.1%同时使用了一种或多种常规药物。超过一半(53%)的NHPs是自行选择的(并非由健康从业者推荐)。每种NHPs的每日成本中位数为新西兰元0.28(四分位间距为新西兰元0.14 - 0.50),过去12个月内拜访TCAM从业者的成本中位数为新西兰元120(四分位间距为新西兰元40 - 270)。女性参与者、年轻人和常规药物使用者更有可能使用NHPs/咨询TCAM从业者/使用任何TCAM。高收入参与者更倾向于咨询TCAM从业者。海外出生的个人更有可能使用任何类型的TCAM。
NHPs的使用以及与TCAM从业者的咨询很普遍,这可能反映了新西兰普通人群中的使用程度。认识到对患者健康结果的潜在影响,需要一个更大且具有全国代表性的数据集,最好能与其他健康数据收集相联系,以验证这些初步发现。