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Original Article
13 (
3
); 393-397
doi:
10.1055/s-0042-1744227

Developing a Screening Tool for Mental Health Professionals for Measuring Intimate Partner Violence among Women with Mental Illness at Tertiary Care Setting

Department of Psychiatric Social Work, National Institute of Mental Health Neurosciences, Bengaluru, Karnataka, India
Department of Psychiatry, National Institute of Mental Health Neurosciences, Bengaluru, Karnataka, India
Address for correspondence Mysore Narasimha Vranda Department of Psychiatric Social Work, National Institute of Mental Health and Neurosciences Bengaluru, Karnataka 560029 India vrindamn@gmail.com vrandamn@nimhans.ac.in
Licence
This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Disclaimer:
This article was originally published by Thieme Medical and Scientific Publishers Pvt. Ltd. and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Abstract

Background Intimate partner violence (IPV) is the major public health issue seen in all cultures. Mental health professionals play a significant role in screening IPV and providing needed care and support to the survivors. There is a dearth of scale to measure comprehensively different dimensions of violence. The study aimed to develop a screening tool for measuring IPV among women with mental illness (WwMI) in India.

Methods The newly developed IPV scale was administered to 200 WwMI at a tertiary care hospital.

Results The factor analysis revealed four factors constituted 67.15% of the variance. The internal consistency Cronbach's α (0.92) and split-half reliability coefficient value (0.80) for the final 31-item IPV scale were found to be highly adequate and reliable.

Conclusion Psychometric properties of scale found to be an effective tool for screening IPV among WwMI by mental health professionals and planning effective intervention strategies to prevent the IPV.

Keywords

intimate
partner
screening
mental
violence
hospital

Introduction

Intimate partner violence (IPV) is a major public health issue worldwide. In India, nearly one-third of women aged 15 to 49 years have experienced physical violence (PV), and 1 in 10 have experienced sexual violence. In total, 35% have experienced physical or sexual violence.1 The World Health Organization reports that one in three women worldwide whoever had a partner reported physical or sexual violence by an intimate partner.2 IPV is the second most risk factor for disability-adjusted life years globally in women aged 20 to 25 years.3

A recent systematic review and meta-analysis of cohort studies on IPV against women and health outcomes revealed a significant positive association between IPV and subsequent depressive symptoms and increased symptoms of post postpartum depression.4 In the gender vulnerability context, women with preexisting mental disorders are more at risk of experiencing violence. Persons with mental illness, especially women, are two to five times more likely to experience IPV, less likely to seek legal help, especially from health professionals.5 The lifetime prevalence of IPV in females is 16 to 94% and 18 to 48% in males among psychiatric inpatients.6

IPV has been associated with a range of physical and mental health outcomes. The physical impact associated with IPV are injuries, disability, chronic pain, gastrointestinal problems,6 7 8 gynecological problems, miscarriage, vaginal bleeding, and sexually transmitted infections.9 10 Mental consequences are depression, post-traumatic stress disorder (PTSD), anxiety, self-harm, suicidality, insomnia, and substance abuse.11 12 13

Few scales are designed to measure IPV in a marital or dating relationship in nonclinical settings. The frequently used scales are the Conflict Tactics Scale,14 Women Abuse Screening Tool,15 Index of Spouse Abuse,16 and Abusive Behavior Inventory.17 Many of these scales are too lengthy, lack sensitivity, are primarily developed based on different cultural contexts, and are not appropriate for the Indian context.18 19 Moreover, the existing scales are unidimensional, assessing either physical or sexual violence and fail to capture multicomponent or multidimensionality of violence prevalent in the different cultural contexts in the society. The present research aims to develop a screening tool/scale for measuring IPV experiences among women with mental illness (WwMI) in the Indian context in the mental health setting.

Methodology

This study was conducted at the National Institute of Mental Health and Neurosciences, a tertiary mental health hospital in southern Bengaluru, India. A convenient sampling technique was adopted to select the participants for the study. The actual sample size for the sample was calculated based on the criteria of subjects to the variable ratio of 5:1.20 21

A sample of 200 subjects (i.e., 40 items × 5 subjects) was derived for the initial 40-item IPV scale with the following inclusion and exclusion criteria: Those WwMI aged 18 to 55 years availing outpatient and inpatient psychiatric services under remission without active psychopathology were included. WwMI having an intellectual developmental disorder, neurological disorders, organic psychiatric disorders, or history of substance abuse were excluded. Informed consent was obtained from all the participants at the time of recruitment. Permission from institute ethics committee was obtained for the research.

The Procedure of Scale Development

Phase 1: Item Generation and Content Validation

The first step in scale construction involves identifying the universe of the item pool for the scale. For the present scale, the initial 75 items were derived through the content analysis of in-depth interviews with six experts in the field of gender and mental health. The 75 items were further examined for their cultural appropriateness, repeatability, and duplication with other items. This led to the elimination of 15 items from the pool. The initial 60-item scale was given to the 12 experts to validate the items for content appropriateness, cultural relevance, the difficulty level, and the readability of the subjects. The responses of all the judges were examined. This resulted in the elimination of 20 items from the pool. The final scale for field-testing consisted of 40 items with four domains assessing PV (15 items), psychological violence (PSYV, 13 items), economic control/violence (ECV, 5 items), and sexual violence (SV, 7 items) experienced by women from their partners. The responses for each item are “never,” “rarely,” “sometimes,” “usually,” and “always,” on a 5-point Likert scale from 1 to 5. Higher scores indicate a higher level of IPV-experienced WwMI. The range for the total score is 40 to 200.

Phase 2: Field-Testing of Scale

The 40-item scale was pretested with 25 subjects to obtain feedback on the item appropriateness and difficulty level. The modified scale was field-tested with 200 subjects to examine the measurability of the scale.

Results

Background Characteristics

The age of the participants ranged from 18 to 57 years, with a mean of 34.30 (standard deviation [SD] = 9.15). A majority (86.2%) were educated and 13.8% were uneducated. Three-fourths of the women (73.2%) were homemakers, 56.7% of women undergoing IPV were married, 38.9% were either separated/divorced, and 82% of the women had children. The mean number of children was 1.77 with SD of 0.88). A total of 77.7% of women were diagnosed with affective disorders, and 28.3% were diagnosed with nonaffective disorders.

Factor Analysis and Item Reduction

Factor analysis was done to reduce the items further and establish the factor structure of the new IPV scale using exploratory factor analysis (EPA). The purpose of the EPA is that factor structure is not based on preconceived ideas on which items should be included under each subscale. It is plausible that certain items may in another context merge or split to form new subscales/domains. Thus, EPA using principal component method was performed to test underlying factors and their stability as expressed in the factor loadings. Varimax rotation was applied to limit the number of high loadings under the same factor which enhances the clearer identification of items emerging under each subscale. Kaiser criterion was used deciding number of resulting factors.22 Items with a factor loading of at least 0.30 were considered significant; this was based on criteria for significant correlation.23 The contribution of each factor explaining the total variation in the item pool was reported. Rotated factor structure of 40 items resulted in similar four-factor structure with eigenvalue greater than 1. These four factors together constituted 67.15% of the variance among the observed variables. The final version of scale had 31 items (see Appendix 1). The first factor contained 13 items labeled as PV; factor 2 contained 10 items labeled as PSYV, factor 3 contained 3 items labeled as ECV, and factor 4 included 5 items labeled as SV. The descriptive statistics and results of the rotated component matrix of the 31-item scale are presented in Tables 1 and 2. The overall mean score for the final IPV scale was 94.06 (SD = 19.14). The minimum and maximum scores ranged from 36 to 135.

Table 1
Rotated component matrix of the final 31-item IPV scale after factor analysis and item reduction

Items of 31-item IPV scale

Factors and loading

1

2

3

4

1. Pulled my hair

0.832

2. Kicked me

0.823

3. Threatened to kill me

0.818

4. Grabbed/shook me

0.805

5. Slapped me

0.776

6. Threatened to use weapon to hurt me

0.775

7. Banged my head against the wall

0.660

8. Twisted my arms/legs

0.608

9. Dragged me

0.587

10. Thrown things at me

0.542

11. Chocked or strangled me

0.453

12. Prevented me to make phone calls to friends, relatives, and family members

0.581

13. Threatened to hurt someone I care

0.542

14. Humiliated me in front of others/in public

0.831

15. Called or sent threatening messages to my mobile

0.817

16. Blamed me for all the problems

0.772

17. Shouted at me

0.750

18. Ridiculed me

0.674

19. Negatively criticized my appearance or body (calling ugly, fat, whore, etc.)

0.640

20. Controlled me

0.633

21. Not allowed me to meet family members/relatives/friends

0.569

22. Inflicted burn on me

0.458

23. Tied me

0.426

24. Controlled my money

0.769

25. Put me in debt

0.747

26. Prevented me from going to work

0.665

27. Made fun of me sexually

0.753

28. Deliberately withheld sex to punish me

0.680

29. Treated me like a sex object

0.667

30. Inflicted pain or injuries to my private parts

0.652

31. Used pressure or threats to obtain sex from me

0.585

Abbreviation: IPV, intimate partner violence.

Table 2
Descriptive statistics of 31-item IPV scale

Domains of IPV scale

Minimum

Maximum

Mean (N = 200)

SD

PV

13.00

61.00

38.41

10.98

PSYV

12.00

48.00

34.53

7.39

ECV

3.00

15.00

8.85

2.80

SV

5.00

23.00

12.27

3.45

Total IPV scores

36.00

135.00

94.06

19.41

Abbreviations: ECV, economic control/violence; IPV, intimate partner violence; PV, physical violence; PSYV, psychological violence; SD, standard deviation; SV, sexual violence.

Establishing Reliability of the Scale

The reliability of the final 31-item IPV was calculated from normative data (N = 200) using internal consistency Cronbach's α and Gutman split of coefficient. The split of reliability coefficient value for the final scale was 0.80. The Cronbach's α for each factor was PV (0.92), PSYV (0.81), ECV (0.66), and SV (0.58). The final overall Cronbach's α of 0.92 indicated a high reliable coefficient value.

Discussion

Screening for IPV has important practical implications in providing psychological care and support to the survivors of IPV in the mental health settings. The present IPV scale comprehensively assesses the spectrum of violence experienced by the WwMI by their partners either in marital or intimate relationships. The overall Cronbach's α value of 0.92 for the 31-item scale indicates greater than the acceptable level of 0.70.24 The EFA of the IPV scale resulted in a meaningful four-factor structure of the scale, contributing 67.15% of the variance. The current scale is the only scale in India that comprehensively assesses various forms of violence as the existing scales assesses either PV or PSYV. Although the psychometric characteristics of the IPV scale supported this investigation, further studies need to be conducted to assess for the stability of its characteristics in different samples with diverse populations such as women with same-sex relationships, transgender, tribal and rural communities, and women in dating relationships.

Conclusion

In conclusion, initial validation of 31-item IPV scale found to be an effective tool for screening violence experienced among WwMI in the clinical setting. The scale helps clinicians screen for IPV and plan for a tailor-made psychosocial intervention to prevent or reduce IPV in the clinical setting.

Appendix 1

IPV Scale

Instructions

The statements represent some of the behaviors women report to have been used by their current or former husbands/partners/boyfriends. Please read each of the statement and circle how often it happened during the past 12 months from your current or former husbands/partners/boyfriends

Items

Never

Rarely

Sometimes

Usually

Always

1. Pulled my hair

2. Kicked me

3. Threatened to kill me

4. Grabbed/shook me

5. Slapped me

6. Threatened to use weapon to hurt me

7. Banged my head against the wall

8. Twisted my arms/legs

9. Dragged me

10. Thrown things at me

11. Chocked or strangled me

12. Prevented me to make phone calls to friends, relatives, and family members

13. Threatened to hurt someone I care

14. Humiliated me in front of others/in public

15. Called or sent threatening messages to my mobile

16. Blamed me for all the problems

17. Shouted at me

18. Ridiculed me

19. Negatively criticized my appearance or body (calling ugly, fat, whore, etc.)

20. Controlled me

21. Not allowed me to meet family members/relatives/friends

22. Inflicted burn on me

23. Tied me

24. Controlled my money

25. Put me in debt

26. Prevented me from going to work

27. Made fun of me sexually

28. Deliberately withheld sex to punish me

29. Treated me like a sex object

30. Inflicted pain or injuries to my private parts

31. Used pressure or threats to obtain sex from me

Dimensions of IPV scale

Items

PV (13 items)

1–11, 22, 23

PSYV (10 items)

12–21

ECV

24–26

SV

27–31

Scoring

Never

Rarely

Sometimes

Usually

Always

1

2

3

4

5

Abbreviations: ECV, economic control/violence; IPV, intimate partner violence; PV, physical violence; PSYV, psychological violence; SD, standard deviation; SV, sexual violence.

Note: Interested parties can use the scale after obtaining the permission from the author for the research purpose only.

Conflict of Interest

None declared.

Funding The study was supported by the NIMHANS Intramural Fund, Bengaluru, India.

References

  1. National Family Health Survey (NFHS-3) 2005–2006. New Delhi: Ministry of Health and Family Welfare, Government of India; .
    [Google Scholar]
  2. , . Global and regional estimates of violence against women: prevalence and health effects of intimate partner violence and non-partner sexual violence. Geneva: World Health Organization; .
    [Google Scholar]
  3. , , , et al . Global burden of diseases, injuries, and risk factors for young people's health during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2016;387:2383-2401. (10036):
    [Google Scholar]
  4. , , , , . Recent intimate partner violence against women and health: a systematic review and meta-analysis of cohort studies. BMJ Open. 2018;8(7):e019995.
    [Google Scholar]
  5. , , , et al . Domestic and sexual violence against patients with severe mental illness. Psychol Med. 2015;45(4):875-886.
    [Google Scholar]
  6. , , , , . Prevalence of experiences of domestic violence among psychiatric patients: systematic review. Br J Psychiatry. 2013;202:94-99.
    [Google Scholar]
  7. , , , , . Reproductive health consequences of intimate partner violence. A nursing research review. Clin Nurs Res. 2000;9(3):217-237.
    [Google Scholar]
  8. , , , . Intimate partner violence and disabilities among women attending family practice clinics. J Womens Health (Larchmt). 2005;14(9):829-838.
    [Google Scholar]
  9. , , , . Prevalence of intimate partner violence and health implications for women using emergency departments and primary care clinics. Womens Health Issues. 2004;14(1):19-29.
    [Google Scholar]
  10. , , , , . Mental and physical health and intimate partner violence against women: a review of the literature. Int J Family Med. 2013;2013:313909.
    [Google Scholar]
  11. , , , . Women reporting intimate partner violence in India: associations with PTSD and depressive symptoms. Arch Women Ment Health. 2009;12(4):203-209.
    [Google Scholar]
  12. , , , , , . Intimate partner violence, life time victimization, socio-demographic and clinical profile of women with psychiatric illness at tertiary care psychiatric hospital in India. Indian J Psychol Med. 2020;42:1-5.
    [Google Scholar]
  13. , . Intimate partner violence as a risk factor for mental disorders: a meta-analysis. J Fam Violence. 1999;14(2):99-13.
    [Google Scholar]
  14. , , , et al . The revised Conflict Tactics Scale (CTS2): development & preliminary psychometric data. J Fam Issues. 1996;17:283-316.
    [Google Scholar]
  15. , . Partner Abuse Scale Physical. Tempe, Arizona: Walmart Publishing; .
    [Google Scholar]
  16. , , , , , . Development of the Woman Abuse Screening Tool for use in family practice. Fam Med. 1996;28(6):422-428.
    [Google Scholar]
  17. , , . The Abusive Behavior Inventory: a measure of psychological and physical abuse. J Interpers Violence. 1992;7(3):291-305.
    [Google Scholar]
  18. , , , . Intimate partner violence. Prim Care. 2009;36(1):167-179. , x
    [Google Scholar]
  19. , , , et al . The development and validation of the Indian family violence and control scale. PLoS One. 2016;11(1):e0148120.
    [Google Scholar]
  20. , . Figuring out factors: the use and misuse of factor analysis. Can J Psychiatry. 1994;39(3):135-140.
    [Google Scholar]
  21. , , . Principal components analysis and exploratory and confirmatory factor analysis.Reading and Understanding Multivariate Statistics. Washington, DC: American Psychological Association; . p. :99-136. In: eds.
    [Google Scholar]
  22. , . An analytic rotational criterion for factor analysis. Am Psychol. 1955;10:438.
    [Google Scholar]
  23. , . Statistical Power Analysis for Behavioral Sciences. (2nd ed.). Hillsdale: Lawrence Erlbaum Associates; .
    [Google Scholar]
  24. , . The Psychological Theory. New York: McGraw Hill Company; .
    [Google Scholar]
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