Background
Methods
Study design, setting, and participants
Description of experiment, variables, data sources, bias, & statistical analysis
Aim one: predictive model for risk of surgery in one year
Aim two: predictive model for mean MME of opioid prescriptions
Results
Aim one: predictive model for risk of surgery in one year
Age | |
---|---|
Mean (SD) | 39.2 (13.1) years |
Gender | |
Male | 272 (37.7%) |
Female | 449 (62.3%) |
Race | |
White | 560 (77.7%) |
Black or African American | 95 (13.2%) |
Asian | 19 (2.6%) |
American Indian or Alaskan Native | 3 (0.4%) |
Native Hawaiian or Other Pacific Islander | 1 (0.1%) |
Other | 7 (1.0%) |
Not reported/Declined | 36 (5.0%) |
Ethnicity | |
Hispanic/Latino | 36 (4.4%) |
Not hispanic/Latino | 653 (90.6%) |
Employment | |
Full time | 332 (46.0%) |
Part time | 22 (3.1%) |
Student–full time | 52 (7.2%) |
Student–Part Time | 2 (0.3%) |
Self employed | 35 (4.9%) |
Disabled | 41 (5.7%) |
Not employed | 82 (11.4%) |
Retired | 34 (4.7%) |
Unknown | 44 (6.1%) |
On active military duty | 76 (10.5%) |
Insurance | |
Private | 490 (68.0%) |
Public | 88 (12.2%) |
TRICARE/other government | 130 (18.0%) |
Other | 13 (1.8%) |
Surgery within one year | |
Yes | 350 (48.5%) |
No | 367 (50.9%) |
Unknown | 4 (0.6%) |
OSPRO-YF phenotype cluster | |
High distress | 299 (41.5%) |
Negative pain coping | 176 (24.4%) |
Low distress | 172 (23.9%) |
Low self-efficacy & acceptance | 74 (10.2%) |
Predictor | Beta coefficient | P-value |
---|---|---|
Age | -0.032 | < 0.001 |
Female gender (Ref: Male) | -0.041 | 0.819 |
Race (Ref: White) | ||
- Black/African American | -0.474 | 0.054 |
- Asian | -0.307 | 0.537 |
- Not reported | 0.642 | 0.406 |
- Other | -0.131 | 0.803 |
Ethnicity (Ref: Not Hispanic/Latino) | ||
- Hispanic/Latino | -0.152 | 0.729 |
- Not reported | -0.479 | 0.328 |
Employment (Ref: Employed) | ||
- Not employed | -0.213 | 0.394 |
- Student | -0.074 | 0.821 |
- Other/Disabled | 0.584 | 0.159 |
Insurance (Ref: Private) | ||
- Public | -0.008 | 0.981 |
- TRICARE/other government | 0.661 | 0.005 |
- Other/Worker’s Compensation/Self pay | 0.695 | 0.275 |
OSPRO-YF phenotype cluster (Ref: high distress) | ||
- Negative pain coping | -0.237 | 0.261 |
- Low distress | -0.876 | < 0.001 |
- Low self-efficacy and acceptance | -0.592 | 0.037 |
Predictor | Beta coefficient | P-value |
---|---|---|
Age | -0.035 | < 0.001 |
Female gender (Ref: Male) | 0.250 | 0.187 |
Race (Ref: White) | ||
- Black/African American | -0.659 | 0.011 |
- Asian | -0.507 | 0.336 |
- Not reported | 0.919 | 0.267 |
- Other | 0.003 | 0.995 |
Ethnicity (Ref: not hispanic/Latino) | ||
- Hispanic/Latino | -0.282 | 0.539 |
- Not reported | -0.354 | 0.512 |
Employment (Ref: Employed) | ||
- Not employed | -0.169 | 0.520 |
- Student | 0.205 | 0.559 |
- Other/Disabled | 0.162 | 0.708 |
Insurance (Ref: Private) | ||
- Public | -0.380 | 0.272 |
- TRICARE/other government | 0.351 | 0.159 |
- Other/Worker’s Compensation/Self pay | 0.174 | 0.791 |
OSPRO-YF phenotype cluster (Ref: High Distress) | ||
- Negative pain coping | 0.070 | 0.755 |
- Low distress | -0.036 | 0.886 |
- Low self-efficacy and acceptance | 0.111 | 0.725 |
iHOT-12 Scores | -0.041 | < 0.001 |
Aim two: predictive model for mean MME of opioid prescriptions
Predictor | Beta coefficient | P-value |
---|---|---|
Age | -0.005 | 0.065 |
Female gender (Ref: Male) | 0.018 | 0.762 |
Race (Ref: White) | ||
- Black/African American | -0.099 | 0.247 |
- Asian | 0.262 | 0.107 |
- Not reported | 0.137 | 0.438 |
- Other | 0.046 | 0.817 |
Ethnicity (Ref: Not Hispanic/Latino) | ||
- Hispanic/Latino | -0.095 | 0.472 |
- Not reported | -0.059 | 0.776 |
Employment (Ref: Employed) | ||
- Not employed | 0.117 | 0.215 |
- Student | -0.049 | 0.653 |
- Other/Disabled | 0.045 | 0.710 |
Insurance (Ref: Private) | ||
- Public | -0.255 | 0.031 |
- TRICARE/other government | -0.133 | 0.061 |
- Other/Worker’s Compensation/Self pay | 0.014 | 0.931 |
OSPRO-YF phenotype cluster (Ref: High Distress) | ||
- Negative pain coping | 0.006 | 0.937 |
- Low distress | 0.006 | 0.934 |
- Low self-efficacy and acceptance | -0.048 | 0.648 |
Type of surgery (Ref: Arthroscopy) | ||
- Arthroplasty | -0.597 | < 0.001 |
- Other | -0.675 | < 0.001 |
Predictor | Beta coefficient | P-value |
---|---|---|
Age | -0.005 | 0.063 |
Female gender (Ref: Male) | 0.007 | 0.904 |
Race (Ref: White) | ||
- Black/African American | -0.113 | 0.187 |
- Asian | 0.233 | 0.154 |
- Not reported | 0.135 | 0.440 |
- Other | 0.055 | 0.782 |
Ethnicity (Ref: Not Hispanic/Latino) | ||
- Hispanic/Latino | -0.098 | 0.455 |
- Not reported | -0.060 | 0.774 |
Employment (Ref: Employed) | ||
- Not employed | 0.125 | 0.185 |
- Student | -0.028 | 0.797 |
- Other/Disabled | 0.030 | 0.804 |
Insurance (Ref: Private) | ||
- Public | -0.279 | 0.019 |
- TRICARE/other government | -0.147 | 0.039 |
- Other/Worker’s Compensation/Self pay | -0.003 | 0.985 |
OSPRO-YF phenotype cluster (Ref: High Distress) | ||
- Negative pain coping | 0.016 | 0.818 |
- Low distress | 0.039 | 0.622 |
- Low self-efficacy and acceptance | -0.015 | 0.888 |
Type of surgery (Ref: Arthroscopy) | ||
- Arthroplasty | -0.623 | < 0.001 |
- Other | -0.680 | < 0.001 |
iHOT-12 scores | -0.002 | 0.158 |
Predictor | Beta coefficient | P-value |
---|---|---|
Age | -0.009 | 0.007 |
Female gender (Ref: Male) | 0.080 | 0.236 |
Race (Ref: White) | ||
- Black/African American | -0.010 | 0.929 |
- Asian | 0.294 | 0.103 |
- Not reported | 0.197 | 0.345 |
- Other | 0.091 | 0.660 |
Ethnicity (Ref: not hispanic/Latino) | ||
- Hispanic/Latino | -0.182 | 0.208 |
- Not reported | -0.087 | 0.688 |
Employment (Ref: Employed) | ||
- Not employed | 0.134 | 0.265 |
- Student | -0.117 | 0.324 |
- Other/Disabled | 0.134 | 0.358 |
Insurance (Ref: Private) | ||
- Public | -0.397 | 0.006 |
- TRICARE/other government | -0.113 | 0.156 |
- Other/Worker’s Compensation/Self pay | 0.047 | 0.850 |
OSPRO-YF phenotype cluster (Ref: high distress) | ||
- Negative pain coping | -0.031 | 0.696 |
- Low distress | -0.096 | 0.271 |
- Low self-efficacy and acceptance | -0.093 | 0.490 |
Predictor | Beta coefficient | P-value |
---|---|---|
Age | -0.009 | 0.007 |
Female gender (Ref: Male) | 0.067 | 0.329 |
Race (Ref: White) | ||
- Black/African American | -0.020 | 0.853 |
- Asian | 0.270 | 0.136 |
- Not reported | 0.199 | 0.338 |
- Other | 0.097 | 0.642 |
Ethnicity (Ref: Not Hispanic/Latino) | ||
- Hispanic/Latino | -0.187 | 0.196 |
- Not reported | -0.090 | 0.678 |
Employment (Ref: Employed) | ||
- Not employed | 0.148 | 0.218 |
- Student | -0.096 | 0.419 |
- Other/Disabled | 0.120 | 0.411 |
Insurance (Ref: Private) | ||
- Public | -0.423 | 0.004 |
- TRICARE/other government | -0.128 | 0.113 |
- Other/Worker’s Compensation/Self pay | 0.029 | 0.908 |
OSPRO-YF phenotype cluster (Ref: high distress) | ||
- Negative pain coping | -0.021 | 0.787 |
- Low distress | -0.068 | 0.455 |
- Low self-efficacy and acceptance | -0.066 | 0.634 |
iHOT-12 scores | -0.002 | 0.297 |