Article Figures & Data
Figures
- Figure 1.
Violator diagnoses. (Note that diagnostic frequency is greater than 100 percent due to multiple diagnoses.)
- Figure 2.
Physicians' explanations for violation.
- Figure 3.
Sources of referral to the PHP program.
Tables
Characteristic Physician-Clients with Boundary Violations General PHP Population p n % n % Gender Female 9 7 326 31 .000 Male 111 93 754 69 Age ranges, y 30–39 12 10 290 28 .000 40–49 57 48 355 33 .002 50–59 32 27 249 23 — 60–69 11 9 66 6 — Marital status Married/cohabitating 76 63 643 62 — Single 9 8 194 19 .002 Divorced/separated 33 28 195 19 .023 Widowed 2 2 5 <1 — Specialty Family practice 22 18 225 21 — Internal medicine 18 15 154 14 — OB/GYN 10 8 55 5 — Psychiatry 26 22 72 7 .000 Other 44 37 574 53 .001 Mandated No 47 40 548 51 .013 Yes 72 61 532 49 Abuse history No 58 70 873 81 .035 Yes 23 30 207 19 Because of missing data, not all categories equal 100%, and rounding causes some percentages to sum to more than 100%.
Category/Type of Violation % of Category % of All Violations Nonpatient Prescribing 65 25 Sexual harassment 22 8 Other 13 5 Patient, nonsexual Prescribing 12 3 Inappropriate examination behavior 35 10 Dual relationships 18 5 Bartering 3 1 Religion 3 1 Hugging 6 2 Other 24 7 Patient, sexual Sexual intercourse 33 11 Sexual activity 13 4 Former patient, sexual intercourse 43 14 Multiple incidents 10 4 Other 2 1 Percentages summing to more than 100% are due to rounding.
