| Literature DB >> 33983955 |
Nadine Ijaz1, Sandy Welsh2, Qi Zhang3, David Brule1, Heather Boon1.
Abstract
BACKGROUND: Workforce studies about traditional and complementary medicine (T&CM) occupations in industrialized countries are scant; and, these occupations' position within the broader occupational workforce remains unclear. This study aims to address these gaps using a comparative approach.Entities:
Year: 2021 PMID: 33983955 PMCID: PMC8118255 DOI: 10.1371/journal.pone.0250223
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Workforce profiles of naturopaths, TCM/acupuncture practitioners, and homeopaths across industrialized countries.
| Naturopaths | TCM/Acupuncture Practitioners | Homeopaths | |
|---|---|---|---|
| [Year, country] | [Year, country] | [Year, country] | |
| 86.7% [2020, Australia] [ | 57% [2016, Australia] [ | 93% [2017, New Zealand] [ | |
| 45.5 (10.4) [2020, Australia] [ | 50.6 (8.9) [2019, Switzerland) [ | 54% of clinicians aged 45–54 [2017, New Zealand] [ | |
| 6.6–8.2 [2020, Australia] [ | 13.1 (7.9) [2019, Switzerland) [ | 12.6 (7.8) [2017, New Zealand] [ | |
| 18.6% [2019, Switzerland] [ | 29.5%; 6.8% China [2019, Switzerland) [ | No data available. | |
| No data available. | ~20%Chinese[2016, Australia] [ | No data available. | |
| 41 [2020, Canada] [ | 24.6 (13.4) [2019, Switzerland) [ | 14 (9.2) clinical consultations + 5 (6.7) clinic management | |
| 12.2 (10.2) [2020, Australia] [ | 20.8 (18.2) | 6.3 (7.3) | |
| $83,973, | No data available |
aStudy included both naturopaths and Western herbalists
bStudy included two sets of surveyed clinicians, both sets are represented here
cData reported in the original study as patients per month, divided by 4 here for comparison.
Demographics, practice characteristics and annual self-reported income.
| Naturopaths | n | TCM/ Acupuncture Practitioners | n | Homeopaths | n | p-values | |
|---|---|---|---|---|---|---|---|
| Gender (% female) | 77.1% | 279 | 57.9% | 439 | 78.3% | 115 | <0.001 |
| Age, Mean (SD) | 42.5 (10.2) | 264 | 51.5 (9.8) | 417 | 53.1 (10.2) | 112 | <0.001 |
| Years in clinical practice, Mean (SD) | 11.3 (8.5) | 310 | 17.9 (10.1) | 489 | 14.4 (9.8) | 128 | <0.001 |
| Trained outside of Canada | 2.9% | 313 | 50.4% | 502 | 30.9% | 136 | <0.001 |
| Multilingual practice | 19.9% | 282 | 58.9% | 470 | 57.6% | 125 | <0.001 |
| Full-time (30+ hrs/wk) | 72.9% | 280 | 75.6% | 434 | 52.7% | 112 | <0.001 |
| Hours worked per week, Mean (SD) | 35.3 (13.4) | 280 | 36.5 (12.7) | 434 | 29.0 (14.7) | 112 | <0.001 |
| Patients seen per week, Mean (SD) | 22.8 (15.3) | 265 | 27.3 (18.6) | 424 | 13.4 (13.2) | 116 | <0.001 |
| Working in publicinstitution | 1.0% | 312 | 3.8% | 509 | 0.8% | 136 | <0.001 |
| Working in Greater Toronto Area | 67.5% | 246 | 78.0% | 382 | 88.6% | 105 | <0.001 |
| Mean (SD) | $63,834 ($57,101) | 218 | $45,624 ($44,081) | 311 | $29,230 ($41,645) | 76 | <0.001 |
| Median | $55,000 | $40,000 | $15,000 | <0.001 |
Categorical variables are reported by counts and percentages; the Pearson chi-square test was used to compare frequencies of these variables across the three professions.
Analysis of variance was used to compare the means of continuous variables across the three professions. Median incomes were compared using a non-parametric median test.
Breakdown of primary training sites by continental region.
| Naturopaths (N = 311) | TCM / Acupuncture Practitioners (N = 492) | Homeopaths (N = 133) | ||||
|---|---|---|---|---|---|---|
| % | n | % | n | % | n | |
| North America | 97.7% | 310 | 51.4% | 253 | 72.2% | 96 |
| Eastern Asia | 2.3% | 1 | 44.1% | 217 | ||
| South Asia | 0.8% | 4 | 21.9% | 29 | ||
| Europe & Russia | 2.2% | 11 | 4.5% | 6 | ||
| Other | 1.6% | 8 | 1.5% | 2 | ||
aTotal n>N as some TCM/Acupuncture Practitioners and Homeopaths identified multiple distinct continental
regional locations as their primary professional training sites.
Breakdown of languages spoken in clinical practice.
| TCM / Acupuncture Practitioners (N = 470) | Naturopaths (N = 282) | Homeopaths (N = 125) | ||||
|---|---|---|---|---|---|---|
| n | % | n | % | n | % | |
| English | 466 | 99.2% | 282 | 100% | 125 | 100% |
| French | 22 | 4.7% | 26 | 9.2% | 12 | 9.6% |
| Chinese (Mandarin and/or Cantonese) | 214 | 45.5% | 4 | 1.4% | 0 | 0 |
| Other East Asian languages | 23 | 4.9% | 0 | 0 | 0 | 0 |
| South Asian language(s) | 6 | 1.3% | 2 | 0.7% | 34 | 27.2% |
| Eastern European / Russian language(s) | 17 | 3.6% | 8 | 2.8% | 12 | 9.6% |
| Other European languages | 9 | 1.9% | 14 | 5.0% | 16 | 12.8% |
| Other | 8 | 1.7% | 8 | 2.8% | 4 | 3.2% |
aTotal n>N across all groups as some respondents reported using more than one language / language group in clinical practice.
Income breakdown by part- and full-time status.
| Part-time (<30 hours/week) | Full-time (30+ hours/week) | ||||
|---|---|---|---|---|---|
| $34,900 ($21,743) | 50 | $73,174 ($62,048) | 159 | ||
| $30,000 | $60,000 | ||||
| $24,322 (SD $16,535) | 72 | $52,018 ($48,700) | 218 | ||
| $23,500 | $44,5000 | ||||
| $10,437 ($12,861) | 35 | $44,922 ($50,758) | 44 | ||
| $5,000 | $27,500 | ||||
Linear regression on log transformed income.
| Independent Variables | Coefficients | 95% | CI | p-value |
|---|---|---|---|---|
| TCM | -0.394 | -0.526 | -0.262 | <0.001 |
| HOM | -0.491 | -0.729 | -0.254 | <0.001 |
| Female | -0.067 | -0.210 | 0.077 | 0.362 |
| Age | -0.012 | -0.021 | -0.003 | 0.011 |
| # of years in practice | 0.076 | 0.050 | 0.102 | <0.001 |
| # of years in practice squared | -0.002 | -0.002 | -0.001 | <0.001 |
| Trained outside of Canada | -0.447 | -0.629 | -0.264 | <0.001 |
| Hours worked per week, (log) | 0.494 | 0.304 | 0.684 | <0.001 |
| Patients seen per week,(log) | 0.506 | 0.370 | 0.641 | <0.001 |
| Work in a public institution | 0.376 | 0.013 | 0.738 | 0.042 |
| Working in Greater Toronto Area | 0.072 | -0.058 | 0.202 | 0.275 |
| Constant | 7.580 | 6.859 | 8.300 | <0.001 |
| N | 521 | |||
| R squared | 0.5288 | |||
Notes. P-value in parenthesis were obtained with heteroskedastic robust standard errors.