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. Author manuscript; available in PMC: 2009 Jul 1.
Published in final edited form as: Womens Health Issues. 2008;18(4):229–237. doi: 10.1016/j.whi.2008.02.007

Table 4.

Multivariable analysis on the effects of medical liability burden on Michigan obstetrician-gynecologists’ overall career satisfaction

Explanatory Variables Overall Career Satisfaction a Overall Career Satisfaction a

Adjusted OR (95% CI)b Adjusted OR (95% CI)b
Non-Hispanic White (vs. other race/ethnicity) 1.73 (0.86–3.47) 1.76 (0.88–3.54)
Primary practice located in a metropolitan (vs. non-metropolitan) county 2.13 (1.12–4.08) 2.16 (1.18–3.97)
Private solo practice (vs. office based non-solo practice) 0.85 (0.43–1.67) 0.79 (0.41–1.52)
Non-office-based practice (vs. office based non-solo practice) 1.59 (0.78–3.24) 1.88 (0.96–3.68)
Stopped obstetric practice within the last five years 0.40 (0.18–0.91) 0.35 (0.14–0.83)
Malpractice insurance premium (reference group = covered through an employer)
  Self-purchased coverage with premium rate ≥ $50,000/year 0.35 (0.13–0.93) -
  Self-purchased coverage with premium rate < $50,000/year 0.98 (0.54–1.78) -
  Self-purchased coverage but did not know the premium rate 0.34 (0.12–1.00) -
  No malpractice insurance coverage 0.22 (0.04–1.41) -
Malpractice claim experience (reference group = no claim)
  Malpractice claim within the last 5 years - 1.21 (0.63–2.33)
  Malpractice claim more than 5 years ago - 1.12 (0.55–2.27)

Sample size c 268 272
Likelihood ratio 122.33 79.59
Prob > Chi square <0.0001 <0.0001

Multivariable ordinal logistic regression analysis was conducted. Odds ratios greater than one indicate association with higher career satisfaction, and odds ratios less than one suggest association with lower career satisfaction.

a

Measured as an ordered categorical variable from 1 to 5 with greater values indicating higher career satisfaction (1 = “very dissatisfied”; 5 = “very satisfied”).

b

OR: odds ratio; 95% CI: 95% confidence interval.

c

Less than 7% of the respondents had missing data on one of more of the variables and hence were not included in the regression analysis.