Table 3.

DC characteristics associated with the number of workers’ compensation patients seen per year in bivariate analyses

VariablesAssociation with the annual number of workers’ compensation patients; mean (SD)p-value

General information
SexMale11.5 (19.4)<0.001
Female7.5 (12.3)

Age (years)Pr = −0.0180.442

Years of practicePr = −0.0210.370

Type of practiceSole practitioner9 (18)0.030*
Group of DCs11 (19)
Multidisciplinary without MD11 (15)
Multidisciplinary with MD14 (29)

Practice provinceBritish Columbia8 (12)<0.001a
Alberta9 (17)
Saskatchewan28 (28)
Manitoba19 (19)
Ontario9 (17)
Quebec5 (10)
Atlantic provinces22 (30)

Practice area populationUnder 10,00011 (18)0.003b
Between 10,000 and 49,99912 (18)
Between 50,000 and 99,99910 (14)
Between 100,000 and 499,99912 (21)
Over 500,0008 (15)

Number of DCs in relation to the demandToo few12 (23)0.001c
Too many9 (17)
The right number12 (19)
I do not know8 (12)

Professional activities

Number of hours of practice per weekPr = 0.158<0.001

Number of weeks of practice per yearPr = 0.0300.192

Number of new patients per weekPr = 0.485<0.001

Number of treatments per weekPr = 0.212<0.001

Education, research and teaching

College of graduationCMCC11 (18)0.004d
UQTR5 (12)
PCC-D9 (18)
PCC-W7 (8)
LoganU16 (22)
WSU13 (20)
NUHS12 (20)
NSHSU14 (18)
LCC-W13 (20)
LU7 (9)
Others9 (13)

Post graduate studiesYes9 (14)0.224
No11 (18)

Number of hours of continued educationPr = −0.0190.416

Involved in researchYes, currently13 (30)0.112
Not now, but in the last 3 years10 (16)
No10 (17)

Involved in teachingYes12 (27)0.330
No10 (17)

Management training in the last 3 yearsYes9 (18)0.191
No11 (18)

Client of chiropractic practice management serviceYes8 (16)0.164
No10 (18)

Main sectors of activity

Consulting/ specialized assessmentYes10 (18)0.900
No10 (18)

GeriatricsYes10 (15)0.921
No10 (18)

Maintenance/wellnessYes9 (16)0.011
No12 (19)

NutritionYes10 (18)0.932
No10 (17)

Occupational/IndustrialYes18 (21)0.009
No10 (17)

PediatricsYes8 (15)0.037
No11 (18)

PregnancyYes9 (16)0.345
No10 (18)

RehabilitationYes13 (19)0.002
No10 (17)

Sports InjuriesYes12 (20)0.005
No10 (17)

Care provided to patients

Do you take your own radiographsYes8 (14)<0.001
No11 (19)

Percentage of patients radiographedPr = −0.0730.002

AcupunctureYes14 (25)0.001
No9 (15)

CryotherapyYes12 (17)0.001
No9 (18)

DiathermyYes16 (17)0.016
No10 (18)

ElectrotherapyYes13 (19)<0.001
No9 (16)

ExercisesYes11 (18)0.003
No8 (14)

Heat PacksYes13 (21)<0.001
No9 (16)

LaserYes12 (17)0.062
No10 (18)

Low volt therapyYes14 (22)0.013
No10 (17)

Patient educationYes11 (18)0.042
No9 (16)

Soft-tissue therapyYes11 (18)0.037
No8 (16)

Traction, flexion/distractionYes12 (19)0.001
No9 (17)

UltrasoundsYes13 (18)<0.001
No9 (17)

Adjustment practiceFull spine only11 (16)0.522
Full spine and extremities10 (18)
Cervical spine only4 (8)
Other7 (9)

Chiropractic technique used

DiversifiedYes11 (18)0.034
No7 (20)

Sacral Occipital techniqueYes8 (14)0.093
No11 (18)

Hole In OneYes6 (9)0.002
No10 (18)

GonsteadYes12 (20)0.166
No10 (17)

ThompsonYes11 (18)0.207
No10 (18)

ActivatorYes10 (17)0.826
No10 (19)

Cranio-sacral techniqueYes9 (15)0.197
No10 (18)

Types of conditions treated

Percentage of patients with neuromusculoskeletal conditionPr = 0.0680.003

Percentage of patients with somatovisceral conditionsPr = −0.0580.012

Percentage of patients with vascular related conditionsPr = −0.0140.560

Referral practice

Percentage of patients referred to other health care providersPr = 0.0250.283

Percentage of patients referred by their employerPr = 0.0800.001

Percentage of patients referred by a physicianPr = 0.218<0.001

CMCC
Canadian Memorial Chiropractic College
UQTR
Université du Québec à Trois-Rivières
PCC-D
Palmer College of Chiropractic, Davenport
PCC-W
Palmer College of Chiropractic, West
LoganU
Logan University
WSU
Western States University
NUHS
National University of Health Sciences
NWHSU
Northwestern Health Sciences University
LCC-W
Life Chiropractic College, West
LU
Life University

PPearson correlation coefficient
aSaskatchewan, Manitoba and the Atlantic provinces are significantly higher than the other provinces. British Columbia, Alberta and Ontario are significantly lower than Saskatchewan, Manitoba and the Atlantic provinces, but significantly higher than Quebec.
b“Over 500,000” is significantly lower than “Between 10,000 – 49,999” and “Between 100,000 – 499,999”
c“The right number of DCs” is significantly higher than “Too many DCs” and “I do not know”
dCMCC is significantly higher than UQTR and PCC-W
*No significant differences after the post hoc testing.