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How far does screening women for domestic (partner) - NIHR Health ...

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70<br />

Review Question VII<br />

would also be cost-effective if the clinical outcomes<br />

were comparable. What Domino and colleagues<br />

have not demonstrated, however, is that <strong>screening</strong> in<br />

a health-care setting can be cost-effective.<br />

Cost-effectiveness model of<br />

PreDoVe: a pilot trial of a<br />

primary care-based systemlevel<br />

intervention to improve<br />

identification and referral<br />

of <strong>women</strong> experiencing<br />

<strong>partner</strong> violence<br />

The pilot study investigated a general practicebased<br />

intervention in the UK and tested the<br />

feasibility of this intervention in four general<br />

practices (three acting as an intervention and<br />

one as a control). The multifaceted, system-based<br />

intervention aimed to change the behaviour of<br />

clinicians towards <strong>women</strong> experiencing <strong>partner</strong><br />

violence, and was designed to increase routine<br />

enquiry about <strong>partner</strong> violence and thereby<br />

disclosure of current <strong>partner</strong> violence. Following<br />

disclosure, clinicians were prompted to refer<br />

<strong>women</strong> to an advocate based in a <strong>domestic</strong> violence<br />

specialist agency or to a psychologist with specific<br />

training related to <strong>partner</strong> violence. The systembased<br />

intervention included initial educational<br />

sessions <strong>for</strong> all clinicians within the practice, which<br />

emphasised a pragmatic approach to enquiry and<br />

referral and also gave an overview of the wider<br />

community response. The referral component<br />

of the intervention was supported by a direct<br />

referral pathway to a <strong>domestic</strong> violence advocate<br />

and a psychologist, both of whom were involved<br />

in the initial training. In addition, prompts in<br />

the electronic medical record were used to probe<br />

<strong>for</strong> <strong>partner</strong> violence during routine consultations<br />

based on a four-item <strong>screening</strong> tool termed HARK<br />

(an acronym based on the dimensions of abuse,<br />

i.e. Humiliation, Afraid, Rape and Kick) linked<br />

to a range of coded diagnoses such as depression,<br />

insomnia, sexually transmitted infections and<br />

fatigue. 209 The HARK questions and a prompt<br />

to refer <strong>women</strong> to the advocate or psychologist<br />

were installed as a template onto the electronic<br />

medical record in the practices. Although the<br />

aim of the intervention was not a comprehensive<br />

<strong>screening</strong> programme <strong>for</strong> all <strong>women</strong>, it aimed to<br />

implement <strong>screening</strong> or routine enquiry <strong>for</strong> <strong>women</strong><br />

presenting with other problems. We maintain that<br />

an economic analysis of this intervention is relevant<br />

to the question of whether <strong>screening</strong> <strong>for</strong> <strong>domestic</strong><br />

violence could be cost-effective.<br />

Model<br />

A Markov model was developed to combine<br />

the intervention costs and benefits. It was fitted<br />

comparing the PreDoVe programme with usual<br />

care and used the differences between the two<br />

simulations to calculate the incremental net benefit.<br />

The model evaluated the impact of increased<br />

assessment and referral rates upon further violence<br />

and quality of life over a 10-year period. Partner<br />

violence affects several public services as <strong>women</strong><br />

experiencing such violence come into contact with,<br />

<strong>for</strong> example, local authority housing departments<br />

and social services. Women experiencing violence<br />

who come into contact with the criminal justice<br />

system are now routinely recorded. Taking a<br />

societal perspective permitted a wide range of data<br />

from sources to be incorporated into the model.<br />

See Appendix 10.1 <strong>for</strong> summary of data sources <strong>for</strong><br />

the model.<br />

The model defines six health states in which<br />

<strong>women</strong> can find themselves (Figure 3). Following<br />

assessment, <strong>women</strong> experiencing <strong>partner</strong> violence<br />

can (1) remain unidentified, or are (2) identified<br />

and subsequently referred and treated, or (3)<br />

identified but decline referral to advocacy or<br />

psychology services. Women who receive treatment<br />

following disclosure during assessment can (4) drop<br />

out without improvement, or (5) enter a state of<br />

medium-term improvement where they can stay or<br />

move to the no-abuse or identified/untreated state.<br />

Women can also (6) die of non-related causes or<br />

specifically from <strong>partner</strong> violence. The transition<br />

probabilities <strong>for</strong> movement between these states<br />

were taken from the literature or in discussion with<br />

<strong>partner</strong> violence researchers. See Appendix 10.2<br />

<strong>for</strong> details of transition probabilities. The average<br />

length of time a woman remains in contact with<br />

advocacy services is 6 months, and there<strong>for</strong>e the<br />

model cycle length was set to 6 months with a<br />

time horizon of 10 years. Following the approach<br />

suggested by the National Institute <strong>for</strong> <strong>Health</strong> and<br />

Clinical Excellence (NICE), we discounted both<br />

costs and outcomes at 3.5% per annum. The reason<br />

<strong>for</strong> this is that it is the approach most commonly<br />

taken in UK cost-effectiveness analyses, facilitating<br />

comparison of our results with other studies.<br />

Costs associated with advocacy and/or psychological<br />

interventions were collated <strong>for</strong> each woman in the

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