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Participants involuntarily hospitalized in a psychiatric facility: (Sansone et. al, 1998; N = 32; 50% female; mean (SD) age = 36.2 (13.33) years)

• • Scores greater than or equal to 5 on the SHI are indicative of Borderline Personality Disorder. The SHI was 78.1% correct in classifying all research participants (Kappa = .33).
    • The SHI was 60% correct in classifying research participants without Borderline Personality Disorder.
    • The SHI was 81.5% correct in classifying research participants with Borderline Personality Disorder according to the DSM-IV criteria.

Participants with Borderline Personality Disorder: (Sansone et. al, 2008; N = 120; 61% female; mean age (SD) = 38.69 (11.74) years; 81.5% White, 15.1% Black, 1.7% Native American, 0.8% Asian, 0.8% race not otherwise specified)

• Mean (SD) score: 7.41 (4.82)

Participants involuntarily hospitalized in a psychiatric facility: (Sansone et. al, 1998; N = 32; 50% female; mean (SD) age = 36.2 (13.33) years)

• Mean (SD) scores of participants with Borderline Personality Disorder: 8.48 (4.11)
• Mean (SD) scores of participants without Borderline Personality Disorder: 3.80 (2.17)

Inpatient Psychiatric Sample: (Selbom et al. 2017, N = 145; 61% female; mean (SD) age = 38.06 (13.06) years; 73.6% White participants, 16% Black, 10.1% race not otherwise specified; 64.3% of participants reported at least one previous psychiatric hospitalization)

• Mean (SD) score: 7.31 (4.80)

Inpatient Psychiatric Sample: (Selbom et al. 2017, N = 145; 61% female; mean (SD) age = 38.06 (13.06) years; 73.6% White participants, 16% Black, 10.1% race not otherwise specified; 64.3% of participants reported at least one previous psychiatric hospitalization)

Excellent internal consistency (Cronbach¡¯s alpha = 0.84)

Concurrent validity:

Participants with Borderline Personality Disorder: (Sansone et. al, 2008; N = 120; 61% female; mean age (SD) = 38.69 (11.74) years; 81.5% White, 15.1% Black, 1.7% Native American, 0.8% Asian, 0.8% race not otherwise specified)

• Adequate correlation between SHI scores and self-reported numbers of medically self-sabotaging behaviors (r = .55)

Participants involuntarily hospitalized in a psychiatric facility: (Sansone et. al, 1998; N = 32; 50% female; mean (SD) age = 36.2 (13.33) years)

Excellent correlation between SHI and PDQ-R scores (r = 0.71)

Convergent validity:

Inpatient Psychiatric Sample: (Selbom et al. 2017, N = 145; 61% female; mean (SD) age = 38.06 (13.06) years; 73.6% White participants, 16% Black, 10.1% race not otherwise specified; 64.3% of participants reported at least one previous psychiatric hospitalization)

• Excellent correlation between SHI and PDQ-4 scores (r = 0.62)
• Excellent correlation between SHI and SCID-2-PQ scores (r = 0.70)
• Excellent correlation between SHI and MSI-BPD scores (r = 0.68)

Development Study: (Sansone et. al, 1998; N = 221; primary care setting; 28% consulted for obesity, 51% for eating disorders or substance abuse, 19% for other non-emergency concerns)

• • ¡°Using a cutoff score of 5 on the SHI appears to best balance diagnostic sensitivity with false-identification of BPD.¡±
  • ¡°Using a cutoff score of 5 on each measure resulted in¡­ a Kappa of .61 for the SHI.¡±

Development Study: (Sansone et. al, 1998; N = 221; primary care setting; 28% consulted for obesity, 51% for eating disorders or substance abuse, 19% for other non-emergency concerns)

• Mean (SD) for participants with Borderline Personality Disorder: 10.15 (4.57)
• Mean (SD) for participants without Borderline Personality Disorder: 2.30 (2.51)

Development Study: (Sansone et. al, 1998; N = 221; primary care setting; 28% consulted for obesity, 51% for eating disorders or substance abuse, 19% for other non-emergency concerns)

• Excellent internal consistency (Cronbach¡¯s alpha = 0.80)

Concurrent validity:

Development Study: (Sansone et. al, 1998; N = 221; primary care setting; 28% consulted for obesity, 51% for eating disorders or substance abuse, 19% for other non-emergency concerns)

• Excellent correlation between SHI and PDQ-R scores (r = .74)
• Excellent correlation between SHI and DIB scores (r = .76)
  • Distribution of SHI Scores and their relationship to a Borderline Personality Disorder diagnosis by the DIB:

Development Study: (Sansone et. al, 1998; N = 221; primary care setting; 28% consulted for obesity, 51% for eating disorders or substance abuse, 19% for other non-emergency concerns)

• ¡°The proportion of respondents who endorsed each of the 22 remaining SHI items ranged from a low of 4.7% for item ¡®burned yourself¡¯, to a high of 37.6% for the item ¡®abused alcohol¡¯.¡±

Non-clinical Population: (Latimer et al. 2009; N = 423; 81% female; 53% between 17-19 years, 27% between 20-30 years; Australian undergraduate students)

• ¡Ý 5 is indicative of Borderline Personality Disorder (sensitivity 88.7%, specificity 82.1%)

Non-Clinical Population: (Latimer et al. 2009; N = 423; 81% female; 53% between 17-19 years, 27% between 20-30 years; Australian undergraduate students)

• Mean (SD) = 5.16 (3.6)
• Female participants endorsed more items than male participants.
  • Mean (SD) scores for female participants: 5.75 (3.75)
  • Mean (SD) scores for male participants: 4.31 (2.79)
• Older participants (20-30 years) endorsed more items than younger participants (17-19 years).
  • Mean (SD) scores for older participants: 6.08 (3.92)
  • Mean (SD) scores for younger participants: 4.39 (3.34)

General Population: (M¨¹ller et al., 2016; N = 2,507; 56% female; German participants)

• 48% of participants endorsed at least one SHI item.
  • Mean (SD) scores for men: 1.33 (2.03)
  • Mean (SD) scores for women: 1.20 (2.05)

General Population: (M¨¹ller et al., 2016; N = 2,507; 56% female; German participants)

• Adequate internal consistency (Cronbach¡¯s alpha = 0.78)
• Adequate internal consistency among male participants (Cronbach¡¯s alpha = 0.75)
• Excellent internal consistency among female participants (Cronbach¡¯s alpha = 0.80)

Concurrent validity:

Non-Clinical Population: (Latimer et al. 2009; N = 423; 81% female; 53% between 17-19 years, 27% between 20-30 years; Australian undergraduate students)

• Excellent correlation with the DIB (r = 0.76)
• Excellent correlation with the PDQ-R (r = 0.73)

General Population: (M¨¹ller et al., 2016; N = 2,507; 56% female; German participants)

• Poor correlation between SHI and BIS-15 scores (Spearman correlation = 0.23)
  • Poor correlation for male participants (Spearman correlation = 0.26)
  • Poor correlation for female participants (Spearman correlation = 0.20)
• Adequate correlation between SHI and PHQ-4 scores (Spearman correlation = 0.37)
  • Adequate correlation for male participants (Spearman correlation = 0.36)
  • Adequate correlation for female participants (Spearman correlation = 0.40)

Convergent validity:

Non-Clinical Population: (Latimer et al. 2009; N = 423; 81% female; 53% between 17-19 years, 27% between 20-30 years; Australian undergraduate students)

• Relationship between SHI scores and depression, anxiety, and stress scores on the DASS-21 for participants who endorsed at least one item:

Meta-analysis: (Sansone et al., 2015)

• ¡°the SHI demonstrated an accuracy in diagnosis of 84% at a cut-off score of 5, and 85% and 88% at cut-off scores of 6 and 7, respectively¡±

Meta-analysis: (Sansone et al., 2015)

• Adequate test-retest reliability of psychiatric inpatient samples (ICC = .61)
• Adequate test-retest reliability of internal medicine outpatient samples (ICC = .68)

Meta-analysis: (Sansone et al., 2015)

• Excellent internal consistency (Cronbach¡¯s alpha = .85)