| Literature DB >> 25960602 |
Marilyn Ford-Gilboe1, Colleen Varcoe2, Marianne Noh1, Judith Wuest3, Joanne Hammerton1, Eman Alhalal1, Camille Burnett4.
Abstract
Using baseline data from a survey of 309 Canadian women recently separated from an abusive partner, we investigated patterns of access to health, social, legal, and violence-specific services and whether abuse history and social and health variables predict service use. We compared rates of service use to population rates, and used logistic regression to identify determinants of use. Service use rates were substantially higher than population estimates in every category, particularly in general and mental health sectors. Although women were confident in their ability to access services, they reported substantial unmet need, difficulty accessing services, and multiple barriers. The strongest unique predictors of use varied across service type. Health variables (high disability chronic pain, symptoms of depression and PTSD), low income, and mothering were the most consistent predictors. Service providers and policy makers must account for social location, abuse history, and health status of Intimate Violence (IPV) survivors. Strategies to enhance access to primary health care services, and to create a system of more integrated, accessible services, are required.Entities:
Keywords: Access barriers; Chronic pain; Help-seeking; Intimate partner violence; Mental health; Social location; Unmet need
Year: 2015 PMID: 25960602 PMCID: PMC4412644 DOI: 10.1007/s10896-015-9688-8
Source DB: PubMed Journal: J Fam Violence ISSN: 0885-7482
Demographic characteristics of the sample (N = 309) in comparison to population estimates for Canadian women
| Variable | WHES sample | Canadian womena |
|---|---|---|
| Education | ||
Less than high school High school Some post-secondary | 16.6 % 22.2 % 61.3 % | 14.5 % 25.0 % 60.5 %b |
| Employment | ||
Employed Social assistance Disability benefit | 45.1 % 31.4 % 10.4 % | 57.5 % 4.3 %c 2.7 % |
| Low income | 59.0 % | 11.4 %d |
| Rural residence | 23.0 % | 26.5 % |
| Visible minority | 16.8 % | 16.2 % |
| Aboriginal | 7.4 % | 4.0 % |
aAuthors’ calculations of raw data (Statistics Canada 1993 and 2006 Census) for women age 18–65 unless otherwise indicated
bStatistics Canada (2006a)
cGeneral Social Survey (Statistics Canada 2003)
dCollin and Jensen 2009)
Past month service use and unmet need reported by category (N = 309)
| Specific service | WHES sample | Comparison service use | Difference in service use | |||||
|---|---|---|---|---|---|---|---|---|
| % who used service ( | No. of visits | % unable to access ( | Mean visits for users/ | % who used service | Rate of increased use in sample | |||
| Mean | SD | Range | ||||||
| General health | ||||||||
| Family doctor/general practitioner | 56.3 (174) | 1.06 | 1.33 | 0–10 | 11.0 (34) | 0.35a | 3.8 | |
| Walk-in clinic | 22.0 (68) | 0.42 | 1.04 | 0–10 | 2.6 %a | 8.5 | ||
| Dentist | 21.4 (66) | 0.31 | 0.72 | 0–5 | 21.0 (65) | 0.12a | 2.6 | |
| Emergency department | 13.9 (43) | 0.24 | 0.88 | 0–10 | 0.012a | 20.0 | ||
| Public health nurse | 6.1 (19) | 0.20 | 1.79 | 0–30 | 1.0 (3) | 0.036a | 5.5 | |
| Hospitalizations | 5.2 (16) | 0.32 | 2.20 | 0–30 | 0.03 nightsb | 10.7 | ||
| Medical specialist | 15.5 (48) | 0.35 | 1.07 | 0–8 | 8.7 (27) | |||
| Total | 77.3 (239) | |||||||
| Mental health | ||||||||
| Support group | 25.2 (78) | 1.28 | 3.80 | 0–30 | 6.1 (19) | |||
| Psychiatrist | 13.6 (42) | 0.34 | 1.86 | 0–30 | 8.4 (26) | 0.19 %a | 71.6 | |
| Social worker | 11.7 (36) | 0.24 | 0.81 | 0–6 | 1.3 (4) | 0.04 %a | 292 | |
| Psychologist | 10.0 (31) | 0.23 | 0.96 | 0–12 | 11.3 (35) | 0.02b | 11.5 | |
| Addictions counselor | 6.5 (20) | 0.19 | 1.03 | 0–14 | 1.0 (3) | 0.5 %c | 13 | |
| Total | 42.7 (132) | |||||||
| Social services | ||||||||
| Food bank | 22.3 (69) | 0.37 | 0.86 | 0–4 | 4.9 (15) | 1.66 %d | 13.4 | |
| Social assistance worker | 33.7 (104) | 0.29 | 0.43 | 0–1 | 4.3 %e | 7.8 | ||
| Disability benefits worker | 11.3 (35) | 0.10 | 0.30 | 0–1 | 6.6 %f | 1.7 | ||
| Social housing | 15.2 (47) | 0.15 | 0.36 | 0–1 | ||||
| Child protection worker | 6.8 (21) | 0.15 | 0.81 | 0–8 | 1.0 (3) | 0.123 %g | 56.3 | |
| Employment insurance | 9.1 (28) | 0.08 | 0.32 | 0–2 | 7.28 %h | 1.25 | ||
| Total | 59.9 (185) | |||||||
| Violence specific services | ||||||||
| Woman abuse helpline | 11.0 (34) | 0.23 | 0.83 | 0–6 | ||||
| Sexual assault/rape crisis centre | 3.2 (10) | 0.15 | 1.50 | 0–25 | ||||
| Domestic violence (DV) advocacy/counseling | 33.0 (102) | 1.26 | 2.84 | 0–20 | ||||
| DV shelter | 1.6 (5) | 0.26 | 2.50 | 0–30 | ||||
| Transition home/2nd stage housing | 9.4 (28) | 2.46 | 0–30 | |||||
| Total | 40.8 (126) | |||||||
| Legal services | ||||||||
| Legal aid | 10.7 (33) | 0.16 | 0.55 | 0–4 | 4.9 (15) | 0.02i | 8.0 | |
| Police services | 13.9 (43) | 0.25 | 0.76 | 0–5 | 0.3 (1) | 0.46 %j | 30.2 | |
| Victim services | 10.7 (33) | 0.21 | 0.80 | 0–8 | 2.3 (7) | |||
| Total | 27.5 (85) | |||||||
aCanadian Community Health Survey (Statistics Canada 2005a)
bCanadian Institute for Health Information (CIHI) 2005
cCanadian Addiction Survey (Canadian Executive Council on Addictions 2004)
dHunger Count Survey (Canadian Association of Food Banks 2005)
eGeneral Social Survey (Statistics Canada 2003)
fParticipation and Activity Limitation Survey (Statistics Canada 2006b)
gTrocomé et al. (2005)
hCANSIM (Statistics Canada 2007)
iLegal Aid Survey (Statistics Canada 2005b)
jGeneral Social Survey Cycle 23 - Victimization (Statistics Canada 2009)
Frequency of service access barriers: total and by income (N = 309)
| Service access barrier | Frequency of access barriers (%) | Chi square | ||
|---|---|---|---|---|
| Sample | Not low income | Low income | ||
| Can’t afford service | 50.0 | 38.2 | 59.6 | 13.3* |
| Placed on waiting list | 42.4 | 28.5 | 52.2 | 16.8* |
| No transportation | 32.4 | 15.4 | 43.8 | 26.8* |
| No information available about service | 26.2 | 28.5 | 25.3 | 0.38 |
| No child care | 18.8 | 8.9 | 25.3 | 12.8* |
| No service in area | 17.8 | 11.4 | 21.9 | 5.6* |
| Lack of response from service provider | 16.2 | 12.2 | 18.5 | 2.2 |
*p < .05
Logistic regression of five types of service use on social location, abuse history, and health variables (n = 264)
| Predictors | General health | Mental health | Social | Violence specific | Legal | ||||||||||
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| Social location | |||||||||||||||
| Age | 0.01 | 0.02 | 1.01 | 0.03* | 0.02 | 1.03 | 0.01 | 0.02 | 1.01 | −0.02 | 0.02 | 0.98 | 0.00 | 0.02 | 1.00 |
| Rural location | 0.57 | 0.38 | 1.77 | −0.47 | 0.31 | 0.63 | −0.22 | 0.35 | 0.81 | 0.09 | 0.32 | 1.01 | 0.21 | 0.33 | 1.23 |
| Low Income | 0.23 | 0.33 | 1.26 | 0.11 | 0.30 | 1.12 | 1.84*** | 0.31 | 6.31 | 0.64* | 0.30 | 1.90 | −0.02 | 0.32 | 0.98 |
| Education (12 < years) | 0.19 | 0.33 | 1.22 | 0.15 | 0.30 | 1.17 | −0.92** | 0.34 | 0.40 | 0.37 | 0.30 | 1.45 | 0.19 | 0.32 | 1.21 |
| Dependent children | −0.54 | 0.33 | 0.59 | 0.48 | 0.29 | 1.61 | 0.92** | 0.32 | 2.52 | 0.38 | 0.28 | 1.46 | 0.71* | 0.32 | 2.04 |
| Abuse history | |||||||||||||||
| Past IPV severity (physical) | 0.01 | 0.01 | 1.01 | −0.00 | 0.01 | 1.00 | 0.00 | 0.01 | 1.00 | 0.00 | 0.01 | 1.00 | 0.01 | 0.01 | 1.01 |
| Past IPV severity (non-physical) | 0.01 | 0.01 | 1.01 | 0.00 | 0.01 | 1.00 | −0.01 | 0.01 | 0.99 | 0.01 | 0.01 | 1.01 | 0.00 | 0.01 | 1.00 |
| Ongoing abuse from ex-partner | −0.27 | 0.32 | 0.76 | 0.50 | 0.28 | 1.65 | −0.06 | 0.32 | 0.94 | 0.64* | 0.28 | 1.90 | 0.31 | 0.30 | 1.36 |
| Health status | |||||||||||||||
| physical functioning | 0.16 | 0.34 | 1.17 | 0.26 | 0.31 | 1.30 | −0.10 | 0.34 | 0.91 | −0.13 | 0.31 | 0.87 | −0.07 | 0.33 | 0.94 |
| Depressive symptoms | 0.22 | 0.36 | 1.25 | 0.73* | 0.34 | 2.08 | 0.22 | 0.37 | 1.24 | 0.51 | 0.34 | 1.66 | 0.07 | 0.38 | 1.08 |
| PTSD symptoms | −0.04 | 0.34 | 0.96 | 0.46 | 0.30 | 1.59 | 0.30 | 0.34 | 1.34 | 0.37 | 0.29 | 1.45 | 0.73* | 0.33 | 2.08 |
| High chronic pain disability | 1.04** | 0.40 | 2.84 | 0.94** | 0.32 | 2.55 | 1.01** | 0.37 | 2.74 | 0.28 | 0.31 | 1.32 | 0.24 | 0.33 | 1.27 |
| Constant | −0.33 | 1.08 | 0.72 | −3.24*** | 0.98 | 0.04 | −0.80 | 1.06 | 0.45 | −2.19* | 0.94 | 0.11 | −2.81 | 1.04 | 0.06 |
| Chi-square | 21.969* | 40.457*** | 91.474*** | 38.109*** | 21.038* | ||||||||||
| Nagelkerke | 0.12 | 0.18 | 0.38 | 0.17 | 0.11 | ||||||||||
*p ≤ .05, **p ≤ .01, ***p ≤ .0