Predictors of engagement with support services in a sample of UK victims of violent crime.
Lowe, Michelle ; Willan, V.J. ; Khan, Roxanne 等
Introduction
One of the major developments in United Kingdom criminal justice in
the last 40 years has been the shift toward the needs of victims as a
primary focus (Burrows, 2014), with an escalation of services funded by
central government (Spalek, 2005). Despite such commitments, current
research suggests that confidence and engagement with the Criminal
Justice System and victim support services generally, is less than
satisfactory (Bradford, Jackson & Stanko, 2009). More work is needed
to explore factors that disengage victims from reporting crime and
receiving support after victimisation.
Victim support services have an important role in the care of crime
victims. Victim Support is a large independent charity that has offered
services to victims and witnesses of crime, and their families, in
England and Wales over the last 40 years. Most victims of violent crime
who report a victimisation experience to the police are referred to
Victim Support as a formal form of support service (Victim Support,
Personal Communication, 2013). Victim Support provide face-to-face and
telephone help, including emotional support, advice on personal safety
and other practical issues, support throughout the Criminal Justice
process and advocacy. According to their website, in 2013, Victim
Support was aided by approximately 1,400 staff and 4,300 volunteer
workers. It currently operates a dedicated Homicide Service, which
supports people bereaved through murder and manslaughter, and more than
100 projects throughout the UK tackling, for example, domestic violence,
antisocial behaviour, racial, homophobic and disablement hate crime, and
a national telephone support service that operates six days per week.
The have also developed partnerships with other organisations, such as
those concerned with health, children, women's rights, racial
equality, the police, and local authorities (Spalek, 2005). Bradford
(2011) showed that Victim Support engagement increased levels of
confidence and perceptions of the effectiveness of the Criminal Justice
System by providing victims with a voice and a sense that someone is
listening and taking their concerns seriously.
Support from victim services is beneficial to the victim's
recovery after crime (Mayhew & Reilly, 2008; Ringham &
Salisbury, 2004). However, in many cases when support is offered to
those who may profit from it, many victims do not engage (Mayhew &
Reilly, 2008; McCart, Smith & Sawyer, 2010; Sims, Yost & Abbott,
2005). Indeed, in the study by Sims and colleagues, only three percent
of the 654 crime victims in their sample used any type of formal support
facilities. Sims et al. (2005) reported that those who did not use
services listed reasons such as: receiving assistance from friends or
family members and thus not feeling a further support facility was
needed, not being told about services, or not thinking it was worth the
trouble to seek out such services. They concluded that a victim's
decision not to seek assistance could be akin to the reason why so many
crime victims never report their experience to the police in the first
place, such as feeling ashamed, self-blame, or through fear that they
would not be believed. These issues may be particularly relevant after
being victimised by crimes that are known to elicit third-party
victim-blaming reactions and negative attitudinal evaluations, such as
sexual assault (e.g. Davies & Rogers, 2006), crimes involving gay
and transgendered victims (e.g. Davies & Hudson, 2011; Laing &
Davies, 2011), disabled victims (e.g. Rogers, Titterington & Davies,
2009), domestic violence (e.g. Harris & Cook, 1994) and crimes
involving ethnic minorities (e.g. Locke & Richman, 1999). Negative
reactions from others can create experiences of secondary victimisation,
which are as difficult to cope with as the effects of the victimisation
experience itself (e.g. Walker, Archer & Davies, 2005). Engaging
with victim support services, especially those that are seen as being
aligned to criminal justice services, may be particular difficult if
secondary victimisation is feared.
In extension, Zarafonitou (2011) proffered a political viewpoint
about victim service disengagement, such that victims may believe that
formal support services (such as Victim Support) are government-backed
and as such, perceived negatively. This then drives those that feel they
do need help after victimisation towards informal support systems, such
as online support groups, which tend to be accessed more readily than
formal ones (AuCoin & Beauchamp, 2004). Despite informal services
being of use to some victims, formal support services like Victim
Support, have advantages because they offer a variety of services within
one organisation.
It has been acknowledged for many years that criminal victimisation
is clustered, with some individuals and crimes committed within certain
locations accounting for a disproportionate amount of victimisation
(Outlaw, Ruback & Britt, 2002). For example, victims who live in
high-density areas that are socially disorganised tend to have higher
revictimisation rates; as do those with personal demographics like being
male, being of a minority status, having witnessed violence in the past,
and having risky routines and lifestyles (c.f. Cohen & Felson, 1979;
see Outlaw et al., 2002 for a discussion). Moreover, we know that
victimisation experiences early in life can make individuals vulnerable
to revictimisation, sometimes of multiple types of crimes, later in life
(e.g. Gold, Sinclair & Balge, 1999; Messman-Moore & Long, 2003),
creating a cycle of victimisation experiences that is difficult to
break.
The costs of revictimisation to the police, victim support
services, and to society in general are many, with interventions being
difficult, time-consuming and expensive to implement (Outlaw et al.,
2002). Costs to the victim are also high. Being repeatedly victimised is
a risk factor for complex trauma and increased vulnerability in the long
term, which Winkel, Blaauw, Sheridan and Baldry (2003) found frequently
not detected, and thus not supported, by victim support services. Such
untreated complex trauma has many hidden costs to policing, medical and
other services in the future. As early as 1992, Farrell indicated that
victim support services tended to respond to crime as single, discrete
events, rather than as one experience amongst others that the victim may
have reported previously. Although knowledge about revictimisation has
increased across services, still, in the UK there is a general pattern
of assessing individual victimisation events as standalone entities.
Investigating the causes of revictimisation to increasing service
engagement, in hope of reducing revictimisation in future, is a key
target among UK policing services. The current research is timely in
this regard. Specifically, the current study investigated predictors of
service use at Victim Support, in a sample of UK victims of violent
crime within one location (Preston, Lancashire) measured over one
six-month time period (April 2013-September 2013) with a 12 month follow
up, to investigate further victimisation experiences and offences.
Victimological research has acknowledged that crime victim
histories in general are not completely distinct from those of
offenders, with some victims also having committing criminal offences,
and some offenders having been violently victimised (Schreck, Ousey,
Fisher & Wilcox, 2012). Jennings, Piquero and Reingle (2011)
reviewed 37 studies that spanned five decades (1958-2011) and found
robust victim-offender overlaps in 31 of the studies. Findings were
consistent regardless of historical and cross cultural samples, and
regardless of the method of assessment or statistical techniques used to
generate results. The victim-offender overlap was particularly apparent
in domestic violence cases and in mental health populations. Recognising
that victims and offenders are often the same individuals, with the same
problems and risk factors, can assist service criminal justice providers
who work with victims and offenders (Jennings, Higgins, Tewksbury,
Gover, & Piquero, 2010). However, it is not yet known how the
victim-offender overlap relates to the engagement with victim support
service use after violent crime and whether engagement with victim
support services (in this instance, Victim Support) can reduce both
victimisation and offending in the future. This study investigates this
possibility.
Preston, a city in the North West of England was chosen for this
study for several reasons. It has a diverse population and relatively
high level of social problems (Evans, 2012). In 2010, Preston was
measured as the 59th most deprived area in the UK, out of a figure of
326 (Rogers, 2011). It has a higher rate of teenage pregnancy and
unemployment than the North West region overall, and a higher violent
crime rate than Lancashire generally. Between May 2013 and May 2014, 528
violent crimes were recorded in the city centre alone. This comprised
14.3 percent of all crimes in the area, the second-highest crime-group
after anti-social behaviours (UK Crime Statistics, Lancashire
Constabulary 2014). Preston's relatively young and diverse
population (Evans, 2012), coupled with the relative deprivation of the
area and the consequent need to reduce violent crime and anti-social
behaviour make it an ideal location to study crime prevention issues.
In this study, all violent crime cases recorded at Lancashire
Constabulary and Victim Support were assessed within the allocated
six-month time-period. Due to the potential high number of cases, only
two postcodes were included; these were PR1, which covers the whole of
Preston city centre and immediate surrounds, and PR2, which is a
suburban area including a number of large housing estates. This study
addressed two research questions: 1. the impact of engaging with Victim
Support in terms of whether this reduces victimisation in the future; 2.
the predictive ability of number of previous victimisations and
offences, previous crime types, and demographic variables to predict
those most likely to (a) fail to effectively engage with available
services, and (b) be most vulnerable to future victimisation.
Method
Sample characteristics
Data was collected from the police database held at Lancashire
Constabulary between April 2013 and September 2013 (n=1140 total adult
violent crime cases). This was then merged with the service data held at
Victim Support (n=869; 456 males and 413 females). Police data with no
service follow-up or those referred directly to another service, such as
a domestic violence service (overall n=271 cases) were excluded from
further analyses, due to the large amount of missing data that their
inclusion would create. Previous history of victimisation and offending
referred to within this study related to events pre-April 1st 2013.
Updated data inputting of victimisation and offending events was then
conducted for all cases in October 2014. The updated victimisation and
offending data referred to events between October 1st 2013 and September
30th 2014.
The mean age of victims at the initial data collection point was
32.4 years (range: 16-90 years). Over a third of victims were aged 16-24
(n=300; 35.3%) at the time of victimisation. The majority of victims
were White (n=664; 76.4%), followed by Asian (n=153; 17.6%), Black
(n=17; 2.0%), Mixed (n=16; 1.8%) and other ethnicities (n=19; 2.2%).
Victims were mostly either British or EU nationals (n=762; 88.1%), with
a further 4.2 percent (n=36) as EEA (i.e. European Economic Area)
member; and 7.7 percent (n=67) of other non EU or EEA nationalities. In
total, 198 different occupations were recorded. For cases where
occupational status was known (n=638; 73.5%), the victim was employed or
in education in two-thirds of cases (n=421; 48.5%), unemployed in 22.6
percent of cases (n=196) and retired in the remaining cases (n=21;
2.4%). For cases referred to Victim Support, 627 victimisations (72.2%)
occurred within PR1 and the remaining 242 victimisations (27.8%) in PR2.
Procedure
The police and Victim Support databases were accessed to identify
and collate victim demographics, vulnerability factors, crime
characteristics (victim and offending history) and support types for all
violent crimes recorded for victims aged 16 and over within the
allocated timeframes as described above. A total of 87 variables were
identified (43 from police; 44 from Victim Support). A coding manual was
produced to ensure that all researchers involved in the project coded
variables identically. Following the identification of variables, data
were inputted and collated into a single statistical database (SPSS
v.22). A final database of 869 cases was produced where sufficient data
could be utilised for further analysis and the index victimisation had
occurred in either of the two defined postcodes (PR1 or PR2).
Victim demographics and vulnerability factors
The following factors were selected for inclusion in the analysis:
victim gender, age, ethnicity, immigration status, known practical and
psychological vulnerability factors (such as being physically disabled
in the case of the former, and learning difficulties or mental health
issues in the latter), risk factors found at the crime scene (e.g.
victim intoxication), and location of index incident (PR1 or PR2).
Crime characteristics
Crime-types were measured on 17 levels based on police
categorisations. To produce a consistent and concise set of categories
suitable for analysis, crime-types were recoded into seven categories
for each database: 1) Threat and Physical Assault, Minor, and 2) Major;
3) Harassment and Hate Crimes, Minor, and 4) Major; 5) Sexual Assault,
Under 16 and 6) Over 16; and 7) Robbery. Police and Victim Support
classifications under this system significantly correlated: r=.86,
n=869, p<.001. However, only one victim of sexual assault was
recorded during the initial round of data collection (<1%),
consequently the sexual offences categories were not included due to
insufficient numbers. Thus, further analyses were conducted on 5
crime-types (percentages and number of victims are included in
brackets): 1) Threat and Physical Assault, Minor (30.2%; n=262); 2)
Threat and Physical Assault, Major (46.7%; n=405); 3) Harassment and
Hate Crime, Minor (16.2%; n=141); 4) Harassment and Hate Crime, Major
(0.9%; n=8), and 5) Robbery (6.0%; n=52). Please note that in some
analyses, empty cells meant that crime-types had to be collapsed further
into just minor and major crimes.
There were three categories relating to the outcome of the
victimisation case: 1) Restorative Justice; 2) Positive Outcome; and 3)
Negative Outcome (e.g. Case cancelled, No crime, Prosecution not
possible, Case closed). Victim-offender relationship was initially
measured on six levels, reduced to four (plus unknown): Unknown,
Stranger, Acquaintance, Ex-Partner, and Family/Partner.
Results
Initial contacting
Victims were contacted by Victim Support (Preston), using the
following methods of communication: telephone (45.6%), letter (54.0%),
and text message (0.5%). An inspection of descriptive statistics shows
that 23.5% (n=204) responded to this initial attempt at contact for
needs assessment, therefore the majority of victims (n=665, 76.5%) were
not contactable at this early stage and consequently no further
engagement was possible.
Once successful contact was achieved, the following face-to-face
services were offered: Emotional Support, Personal Safety, Practical
Support, CJS Support, Advocacy, and Further Support. A large proportion
of victims did not book (97.1%) or attend (97.6%) appointments to access
these resources, and those that did only attended one appointment
(2.0%). Only one case was recorded as 'ongoing', the remaining
cases were classified as 'Complete' (n=868).
Whilst it is apparent that victims do not attend the face-to-face
sessions, a sizable proportion of victims (n=183) received support via
the telephone only, as opposed to attending the centre, which included:
Emotional Support (n=29); Personal Safety Support (n=16); Practical
Support (n=32); Criminal Justice (n=28); Advocacy Support (n=14);
Further Support (n=16). When the sample of victims who received
telephone support only were combined with face-to-face session
attendees, an independent samples t-test showed that revictimisation
rates since the initial data collection point were not significantly
affected by whether the victim engaged with services (telephone and/or
attendance) or not; t (867)=.63, p=.529.
Analysis
The first research question investigated the impact of service
engagement and whether this reduced victimisation in the future. The
total number of face-to-face sessions attended at Victim Support was not
significantly related to total revictimisations since the initial data
collection point (two-tailed Pearson's r=.06, p=.082), therefore
not related to a reduced risk of future victimisation.
The second research question addressed the predictive ability of
crime demographics (i.e. number of previous victimisations and offences
across crime types) and victim demographics to predict those most likely
to (a) fail to effectively engage with available services, and (b) those
most vulnerable to future victimisation.
a) In the following analysis, the total number of appointments
attended was considered a suitable indication of engagement and
subsequently used as a measure of Engagement with Services. The
Engagement with Services scores ranged from 0 to 4 appointments (M=.03,
SD=.27). A statistical technique called Standard Multiple Regression was
utilised to investigate what victim and crime characteristics might most
likely predict service engagement. Possible predictors comprised:
Gender, Ethnicity, Type of Crime, the victim's Intoxication Status
(at time of crime), Risk Level, Psychological and Practical needs. The
victims' past offending history for minor and major crimes were
also included. The full results are presented in Table 1 below:
Table 1: Standard Multiple Regression to Test Engagement with Services
and the Predictive Value for Victim Demographics and Vulnerabilities
Predictor Variable Beta t p Pr
Demographics Gender -.01 -.38 .736 -.01
Ethnicity -.06 -1.91 .057 -.06
Type of Crime -.01 -.23 .822 -.01
Past Minor Offences -.02 -.51 .607 -.02
Past Major Offences .01 .28 .782 .01
Vulnerabilities Intoxication Status -.99 -12.09 .001 * -.38
Risk Level -.08 -2.46 .014 * -.08
Psychological Needs 1.15 13.58 .001 ** .42
Practical Needs .07 1.86 .063 .06
* p<.05 ** p<.01
Results of the Multiple Regression model were significant,
indicating that the predictors included had some relevance to whether or
not victims engaged with services, F (9, 858)=38.59, p<.001, R2=.29
(Adj. R2=.28). In particular, the extent to which the victim was
classified as having Psychological (P=1.15, p<.001), and marginally
Practical Needs ([beta]=.07, p=.063), reliably predicted an increased
number of sessions attended at Victim Support. Likewise, other
vulnerability factors included in the model were significant predictors
of service engagement, i.e. Intoxication Status ([beta]=-.99, p<.001)
and Risk Level ([beta]=-.08, p=.014), such that victims intoxicated on
drugs or alcohol at the time of the index victimisation were
subsequently less likely to engage with Victim Support than those not
intoxicated. However, the majority of the sample were victims of threat
and/or assault (Major and Minor; 46.7% and 30.2% respectively), whilst
sober (n=665, 76.5%), and as such most victims were not considered
'vulnerable' at the time of the offence. Interestingly
however, victims classified as low risk were likely to attend more
sessions at Victim Support than those classified as high risk. Indeed,
risk levels were deemed 'Unknown' for 84.4% of victims who did
not engage. Thus, results relating to risk and vulnerability levels need
to be interpreted with caution.
In addition to the Multiple Regression, how the degree of physical
injury of the victim related to engagement with Victim Support was
investigated using one-way ANOVA, with degree of injury used as a factor
with three levels: no injury, minor injury and serious injury, (F [2,
866]=3.51, p=.030). It was found that those victims who sustained
serious injuries as a result of their index victimisation subsequently
attended more sessions (at Victim Support M=.12, SD=.33) than those with
minor (M=.02, SD=.24) and no injuries (M=.03, SD=.27).
b) A further standard Multiple Regression was conducted. In this
analysis, possible predictor variables of the number of revictimisation
experiences since the initial data collection point were investigated.
Predictors comprised: Gender, Ethnicity, Relationship Association, Past
Victimisation Rates, Past Offending Rates, Risk level, and Engagement
with Services (total number of sessions attended).
The overall Multiple Regression model was significant, F (8,
797)=18.26 p<.001, R2=.16 (Adj. R2=.15). Three significant predictors
emerged: 1. Past Victimisation Rates ([beta]=.36, p<.001; pr=.36), 2.
Engagement with Services ([beta]=.07, p=.024; pr=.08), and, 3. Risk
Level ([beta]=.09, p=.049; pr=.07). Concluding from these results, it is
particularly clear that previous victims were more likely to be
revictimised in the future, even if they were recorded as high risk and
were actively engaging with Victim Support at the time of the initial
data recording.
Victim demographics, gender ([beta]=-.04, p=.317) and ethnicity
([beta]=.01, p=.821), did not significantly predict future
revictimisation. Likewise, crime demographics such as type of crime
([beta]=.00, [beta]=.940) and relationship association between victim
and offender ([beta]=.06, p=.194) did not significantly predict future
revictimisation. In addition, prior offending behaviour by the victim
did not significantly predict future revictimisation ([beta]=-.02,
p=.640. The full Multiple Regression results are presented in Table 2
below.
Discussion
The first research question addressed whether engaging with Victim
Support would reduce future victimisation instances. Findings revealed
that engagement was not significantly related to future victimisation.
Secondly, when further victimisation since the first data collection
period was inspected against demographic and crime-related variables,
previous victimisation, regardless of the type of crime experienced, was
the strongest predictor of being victimised again, despite the fact that
they were more likely to be identified as higher risk by the police and
even when victims were actively engaging with Victim Support at the time
of victimisation. All other predictors were only minimally or
non-significant. These findings are broadly consistent with previous
research (e.g. Grove, Farrell, Farrington & Johnson, 2012; Mayhew
& Reilly, 2008; McCart et al., 2010; Sims et al., 2005; Steel,
Blakeborough & Nicholas, 2011) and highlights important issues for
victim support services and the police to consider. How these findings
relate to the existing knowledge-base and their implications will be
explored next.
One example of how the development of specialist victim services
have failed to show reductions in repeated victimisation is the study of
the successfulness of Multi-Agency Risk Assessment Conferences (MARACs)
in England and Wales. MARACs were established in 2003 and are attended
by relevant professional agencies (e.g. police and victim support
agencies) to assess how best to manage 'high risk' victims of
domestic violence. Despite approximately 270 MARACs in operation,
reports suggest the evidence for their effectiveness at reducing
revictimisation is untenable (see Steel et al., 2011 for further
discussion). Moreover, in a systematic review of 31 studies on repeat
victimisation, Grove et al. (2012) stated that preventing
revictimisation was possible through appropriately-tailored situational
crime prevention strategies. However, this did not include advice and
education for crime victims alone: this method was not effective. Grove
et al. noted an urgent need for further research into crime prevention
for repeat victimisation across different crime-types with a focus upon
the most victimised sub-groups, including what they called 'near
repeats' (similar crimes, often committed nearby, soon after,
against similar targets).
At the moment, in the UK, considering cases that might be
considered near-repeats and cases that are deemed 'lower
risk', is not a priority for specialist services. Taking domestic
violence as the key example, a report by journalist, Nushra Mansuri, for
the UK newspaper, The Guardian, in December 2014, highlighted the need
for specialist service provision that is equipped to handle all victims
that need it. In only providing specialist support via MARACs to those
deemed to be in the top 10 percent of victims at risk of serious harm or
domestic homicide, the vast majority of domestic violence victims are
denied specialist help. It is unknown how many victims denied specialist
services go on to be further victimised, continuing the cycle of
revictimisation. Whilst it is accepted that services do not have
limitless funds, it is clear that current practices are far from perfect
and new ways need to be considered to better allocate resources to
service all victims that do come forward. As the findings from the
current study show that previous victimisation strongly predicts future
victimisation, it is vital for services to consider interventions as
early as possible in the victimisation-cycle, not just at the point from
which a case is deemed high-risk.
Consistent with previous research (e.g. Mayhew & Reilly, 2008;
McCart et al., 2010; Sims et al., 2005), the vast majority of victims in
the current study did not engage face-to-face with any of the support
services offered by Victim Support. Less than two percent booked or
attended a face-to-face meeting. Just over one fifth of victims engaged
over the telephone on at least one occasion to receive help across a
range of support options. However, neither face-to-face contact nor
telephone support influenced future victimisation events, with victims
just as likely to be victimised again whether or not they were receiving
support. It has been shown in past research that victim service
programmes run in the United States offered no significant improvements
on crime victims' psychological functioning when service users were
compared with those that did not use such services (Sims, Yost &
Abbott, 2006). It could be similarly in the UK Victim Support services
are not creating improvements in psychological functioning that might
reduce the risk of future victimisation.
As previously stated, the systematic review by Grove et al. (2012)
found that advice-giving or education about crime did not reduce the
chance of a victim being revictimised. The example they gave was one of
sexual victimisation prevention schemes that aimed to educate repeat
victims with advice about how to avoid or manage risky situations that
could lead to future revictimisation. They noted that a key problem with
education is that it may change attitudes but not the ability to change
behaviour. A similar effect may have occurred in the current sample,
such that advice from Victim Support may have positive attitudinal
benefits, or may benefit engaging victims in some practical ways-but
these alone not sufficient to prevent further victimisation.
Additionally, current findings showed that most willing to engage
with Victim Support on a face-to-face basis, were those victims already
considered physically and psychologically vulnerable, and those with
serious physical injuries as a result of their victimisation. This may
be because these victims were more aware of their need for support, or
indeed, genuinely more in need of it than other victims. Victims not
seriously injured during their victimisation experience may feel that
their plight is trivial and that follow-up support is not needed.
Victims in previous studies have shown the same post-victimisation
reactions with conviction that they can cope with recovering on their
own (e.g. Jaycox, Marshall & Schnell, 2004), therefore this finding
is not unusual or unexpected.
Somewhat worryingly however, victims who were intoxicated on
alcohol and/or drugs at the time of the initial victimisation incident
were particularly not likely to engage with Victim Support. This could
signify that vulnerable victims who do need emotional and practical
support are not being reached by a service that could help them. In
order to increase the use of Victim Support by vulnerable crime victims,
it is necessary to put greater emphasis on highlighting to the public
about what services are offered, with services that can meet the needs
of specific victim groups, and if necessary, broadening the types of
services provided to victims (c.f. Sims et al., 2005). In relation to
the broadening of services, it has been known for over a decade that
services that offer support to victims of crime tend to ignore
symptomology that occurs in the months after a victimisation experience
(Winkel et al., 2003). As such, one additional service that Victim
Support could offer is specifically for chronic stress after criminal
victimisation and/or to develop closer links with services that can
provide this service for victims who require it. Interestingly, those
victims recorded as high risk by the police were less likely to seek
Victim Support help than those recorded as low risk. High risk victims
are likely to be already receiving support from a number of other
specialised services, such as those provided by domestic violence
organisations and hence do not need additional support, but the data
available to the authors at the time of data collection did not provide
this information so could not be assessed further.
The current study is not without its limitations. Reliance on the
number of revictimisation experiences as one of the key criterion
variables in the statistical analysis was limited in its scope because
it gives no information on the psychological functioning of victims, or
any potential success of engagement. Psychological measures of sense of
empowerment, or an increase in resiliency, may be more valuable
indicators of success or recovery from an individual victim perspective
than purely numeric measures. It was not possible to measure resiliency,
empowerment, or other similar concepts in this study, because these
variables were not recorded in the data. Using non-psychological,
criminal justice data is always going to have limited scope for
psychological investigation. That said, having a numeric measure of
revictimisation and an investigation of its predictors, plus the data
for subsequent victimisations as recorded in the follow-up data
collection, is useful information for the police, service providers and
future funders of victim services in Lancashire and beyond.
Within the UK at the current time, the future of victim services in
general is being evaluated. The commissioning of referral services is
transferring from the Ministry of Justice to localised Police and Crime
Commissioners (PCCs) in April 2015. In some areas of the UK this
transition has already begun. PCCs are in the process of identifying the
highest quality, most cost-effective services. Understanding the ongoing
needs of victims--which are often complex and long-standing--will
identify gaps in existing services and areas where improvements and cost
efficiencies can be made. In Lancashire, North West England, where this
particular study was conducted, the change to PCC control has been
under-way since October 2014 (Lancashire Constabulary, Personal
Communication, 2014).
What this means for victims of crime in actuality is a matter of
debate. It is hoped that all changes made to victim services in the
future will indeed be in the best interest of victims, to provide them
with better and more suitable services, than simply cutting down on
existing services to save money. One way that victim services might
change in future is that there is more funding provided for smaller
local victim organisations that currently exist on very small budgets
that may have suffered cuts to services throughout the period of
austerity since 2008. Such small organisations are not linked directly
to the criminal justice process, but offer specific help or advice for
particular types of victimisation experience (e.g. racial or anti-gay
hate crime, support groups for victims with disabilities, etc.). Victims
may prefer to access such services, and allowing local organisations to
expand could be beneficial to them. That said, the development of local
services at the expense of broad-ranging, nationwide services such as
Victim Support could set up a future whereby a range of services
available, but lacking consistency in their approach and success. It
remains to be seen how well this re-structuring of victim services will
work in the future, and it is certain that careful monitoring of this
process is needed. Nevertheless, with carefully evaluated care, victim
services in the future could see many improvements. It is already known
that some victims of crime do not engage with services that could
support their needs because of suspicion of formal systems (Zarafonitou,
2011). For these victims, smaller, local specialist services that meet
their needs should be highlighted, perhaps on a case by case basis.
Indeed, some services are more readily accessible than formal services
that require appointments for face-to-face meetings, or lengthy
telephone conversations (AuCoin & Beauchamp, 2004). There may be a
wide range of reasons why victims are not able to engage with such
systems, even if they are in need of emotional and/or practical support.
Ease-of-access and cost-effective service provision now includes a wide
range of online fora and even mobile phone applications, and it is a
move toward the use of modern technologies that might be successful in
engaging more victims in future to receive support that they may badly
need.
Michelle Lowe, V. J. Willan, Roxanne Khan, Matthew Brooks, Phaedra
Robinson, Nicola Graham-Kevan, Rachel Stokes, May Irving, Marta Karwacka
& Joanne Bryce, University of Central Lancashire
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Table 2: Standard Multiple Regression to Test Repeat Victimisation
Rates and the Predictive Value for Victim Demographics and Past
Offending
Predictor Variable Beta t p Pr
Gender -.04 -1.00 .317 -.04
Ethnicity .01 .23 .821 .01
Relationship .06 1.30 .194 .05
Crime Type .00 .08 .940 -.02
PVR .36 11.00 .001 ** .37
POR -.02 -.47 .640 -.02
Risk Level .09 1.97 .049 * .07
ES .07 2.25 .024 * .08
* p<.05 ** p<.01