Abstract
The World Health Organisation estimates that between 10% and 50% of women worldwide report having been assaulted physically or sexually by an intimate partner at some time in their lives, and when threats, financial and emotional abuse are included the prevalence rates are even higher. Abused women can suffer injury and long-lasting physical and emotional health problems. One form of interventionto assist these women is advocacy. Advocacy interventions aim to help abused women directly by providing them with information and support to facilitate access to community resources. However, before recommending them to health policy makers we need to know whether they improve the health and well-being of abused women. In other words, are advocacy interventions effective?
After searching the world literature for randomised controlled trials evaluating advocacy programmes for abused women, we found ten trials, involving 1,527 women. The studies comparing advocacy with “usual care” were conducted in a variety of settings both within and outside of healthcare. Participants were recruited from diverse ethnic populations and across a wide age range (15-61 years), but manyhad a relatively deprived socioeconomic status. Most were experiencing current, often severe, abuse. All of the interventions sought to empower the women by helping them to achieve their goals. They differed in: duration (from 30 minutes to 80 hours), the outcomes reported, and the length of time the women were followed up.
The evidence is consistent with intensive advocacy decreasing physical abuse more than one to two years after the intervention for women already in refuges, but there is inconsistent evidence for a positive impact on emotional abuse. Similarly, there is equivocal evidence for the positive effects of intensive advocacy on depression, quality of life and psychological distress. There is evidence that brief advocacy increases the use of safety behaviours by abused women.
Taken as a whole, we conclude that at present there is equivocal evidence to determine whether intensive advocacy for women recruited in domestic violence shelters or refuges has a beneficial effect on their physical and psychosocial well-being. Further, we do not know if less intensive interventions in healthcare settings are effective for women who still live with abusive partners. Too few studies evaluated interventions of comparable intensity and duration, measured the same outcomes, or had comparable follow-up periods.
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Background
Description of the condition
Intimate partner abuse
For the purpose of this review, intimate partner abuse (often termed domestic violence) is defined as abuse of a woman by a male or female partner who currently is, or formerly was, in an intimate relationship with the woman. Intimate partner abuse perpetrated by women or men against male partners or ex-partners also occurs but it is not included in this review because the outcomes, and possibly the risks for partner violence perpetration by each gender, are likely to be different and should not therefore be included in the same review. The majority of abuse with serious health and other consequences is that committed by men against their female partners (
Prevalence of intimate partner abuse
The 2001 British Crime Survey found that 20% of women in England and Wales reported being physically assaulted by a current or former partner at some time in their lives; and when threats, financial abuse and emotional abuse were included in the definition of intimate partner abuse the prevalence rose to 25% of women
The impact of intimate partner abuse on health of women
Intimate partner abuse can have short-term and long-term negative health consequences for survivors, even after the abuse has ended (
In 1997, two women in England and Wales were killed each week by their current or former partners (
Physical health of abused women
Intimate partner abuse is one of the most common causes of non-fatal injury in women. In the USA a review estimated that 50% of all acute injuries and 21% of all injuries in women requiring urgent surgery were the result of partner abuse (
Abused women also experience many chronic health problems. The most consistent and largest physical health difference between abused and non-abused women is the experience of gynaecological problems (e.g. sexually-transmitted diseases, vaginal bleeding and infection, genital irritation, chronic pelvic pain, urinary-tract infections) (
Health of abused women during pregnancy
Research evidence shows that intimate partner abuse continues when a woman becomes pregnant - indeed, it may even escalate (
Psychosocial health of abused women
The most prevalent mental health sequelae of intimate partner abuse are depression and post-traumatic stress disorder (
In industrialised countries a further mental health problem associated with partner violence is the abuse of alcohol and drugs (
The impact of intimate partner abuse on health service usage
Women experiencing intimate partner abuse present to health services very frequently and require wide-ranging medical services (
It is difficult to calculate the societal economic impact of intimate partner abuse but the costs are high (
Description of the intervention
Interventions to improve the health consequences for women who are experiencing or have previously experienced intimate partner abuse
Interventions may be primary, secondary or tertiary. In the context of intimate partner abuse, primary interventions are concerned with preventing the onset of abuse, secondary interventions aim to prevent further abuse, and tertiary interventions deal with the consequences of abuse once the abuse has ceased. The focus of this review is on secondary and tertiary intervention.
A range of such interventions has been evaluated. These may be classified as interventions aimed at directly helping abused women (such as the provision of advocacy or therapy), and those aimed at indirectly helping abused women by improving the response of the professionals with whom they come into contact (such as the introduction of screening protocols or the provisi on of education and training about intimate partner abuse). In order to have clear evidence about what professionals can do safely and effectively to decrease the impact of intimate partner abuse on women, all such interventions need to be evaluated. To this end, we have planned to conduct a suite of systematic reviews evaluating the effectiveness of interventions to improve the health consequences for women who are experiencing or have previously experienced intimate partner abuse. This review is the first of these and examines the effectiveness of individual advocacy interventions (see also Taft 2007).
Advocacy
In the context of domestic violence services, advocacy is a term that varies within and between countries, depending on institutional settings and historical developments of the role of advocates. (
How the intervention might work
Most advocacy interventions are based around the concept of empowerment: talking through potential solutions with the woman (rather than being prescriptive and telling her what she ought to do), helping the woman to achieve the goals she has set, and helping her to understand and make sense of the situation and her responses to it (
The aims of advocacy programmes are multifaceted and may include helping abused women to access services, the reduction or cessation of abuse, and the improvement of abused women's physical or psychological health. Advocacy may be offered as a stand alone service, but may also be part of a multi-component, multi-agency intervention. At present, it is not known whether multi-component interventions are more effective than those comprising a single component.
Why it is important to do this review
We plan to examine in this systematic review that follows this protocol to examine the effectiveness of advocacy interventions with individual women who are still with their partners, as well as those who have left the abusive relationship. This is because it is known that women who leave violent relationships often continue to be abused, sometimes because the partner pursues them or they choose to return (
Objectives
To assess the effectiveness of advocacy interventions conducted within or outside of health care settings for women who are experiencing or have previously experienced intimate partner abuse.
Methods
Criteria for considering studies for this review
Controlled studies which allocate participants or clusters of participants by a random or a quasi-random method (such as alternate allocation, allocation by birth date, etc) to an advocacy intervention compared with usual care. For this review, we define “usual care” as that care typically provided at that setting or that care with minimal additions in the form of an information card or leaflet listing the addresses and telephone numbers of local support agencies.
Types of participants
Women aged 15 years and over identified as having experienced intimate partner abuse, recruited from any setting.
Eligible studies can recruit women in any settings, including health care or criminal justice facilities, refuges or domestic violence agencies. Typically, recruitment is via face-to-face contact with consecutive women in these settings.
Types of interventions
Any advocacy intervention compared to usual care. Studies will be included if the intervention incorporated facilitation of access to and use of community resources such as refuges or shelters, emergency housing, and psychological care, either with or without ongoing informal support or counselling for the woman.. We will include studies where advocacy is evaluated as an adjunct to another intervention, such as psychotherapy, but only where advocacy is the only difference between arms of the study.
Types of outcome measures
Primary outcomes
Incidence of abuse
Forms of abuse included: physical sexual emotional financial
Abuse may be assessed using self-report measures (scales such as Index of Spouse Abuse, Women's Experience of Battering, Conflict Tactics Scale, or a single question about continuing abuse) or from the recording of abuse in medical or police records.
Psychosocial health
quality of life (measures such as SF-36) depression (measures such as Center for Epidemiologic Studies Depression Scale) anxiety (measures such as Spielberger's State-Trait Anxiety Inventory)
Secondary outcomes
Physical health
deaths, all-cause and partner abuse-related (documented in medical/police records/regional and national databases) physical injuries, such as fractures and bruises (self-reported or documented in medical and dental records) any chronic health disorders, such as gynaecological problems, chronic pain and gastrointestinal disorders (self-reported or documented in medical and dental records) any general measures of physical health (measures such as Daily Symptoms Questionnaire) pre-term birth (self-reported or documented in medical records)
Psychosocial health
post-traumatic stress (measures such as Impact of Events scale) self efficacy (measures such as Generalized Perceived Self-Efficacy Scale) self-esteem (measures such as Rosenberg Self Esteem Scale) perceived social support (measures such as Sarason's Social Support Questionnaire) alcohol or drug abuse (measures such as Addiction Severity Index, Alcohol and other Drug Abuse Scale) attempted suicide(self-reported or documented in medical records) self-harm (self-reported or documented in medical records) impact on relationships (self-reported)
Socio-economic outcome measures
income housing participation in education participation in work
‘Proxy’ or intermediate outcome measures (including take-up of referrals to other agencies)
the use of safety behaviours (e.g. use of coded telephone messages to a friend, keeping clothes at a friend's house, hiding emergency money) the use of refuges/shelters the use of counselling calls to police police reports filed protection orders sought maintenance of family ties (i.e. children staying with mother)
We recognise that post-intervention changes in some of these proxy measures may be associated with both ‘positive’ and ‘negative’ health outcomes for abused women and require careful interpretation. For instance, increased refuge/shelter usage may reflect proactive behaviour on the behalf of abused women but it may also reflect an escalation of violence that has led to the women needing to seek safety. Where authors report any adverse outcomes from interventions, such events will be recorded and discussed in a narrative summary.
Timing of outcome assessment
We plan to document the duration of follow-up in all included studies. We do not know the optimum period of follow-up. Thus, while an intervention may have some immediate positive effects on the health of an abused woman (such as a reduction in physical violence), other outcomes may not be so readily apparent. For example, even after leaving an abusive relationship, a woman may be traumatised for many months afterwards and any positive mental health effects may not be evident for some time. For purposes of this review, we will define short-term follow-up as up to and including 12 months, medium-term follow-up as from 12 to 24 months, and long-term follow-up as more than two years.
Search methods for identification of studies
Searches will be undertaken of the international literature for peer-reviewed and non-peer reviewed studies. There will be no language or date restrictions applied to the search strategies used and a trials filter will not be applied as-we want searches to be as inclusive as possible.
Electronic searches
The following electronic databases will be searched: CENTRAL and DARE (Cochrane Library) MEDLINE EMBASE CINAHL ASSIA Social Science Citation Index IBSS PsycINFO British Nursing Index metaRegister of Controlled Trials Health Management Information Consortium Midwives Information and Resource Index
The search strategy for MEDLINE is as follows: (BATTERED ADJ WOMEN).TI,AB. BATTERED-WOMEN.MJ. OR SPOUSE-ABUSE.MJ. OR DOMESTIC-VIOLENCE.MJ. (ABUSE$3 NEAR WOM$3).TI,AB. (ABUSE$ NEAR PARTNER$).TI,AB. (ABUSE$ NEAR SPOUS$).TI,AB. ((WIFE OR WIVES) NEAR BATTER$).TI,AB. ((WIFE OR WIVES) NEAR ABUSE$).TI,AB. (VIOLEN$ NEAR PARTNER$).TI,AB. (VIOLEN$ NEAR SPOUS$).TI,AB. (VIOLEN$ NEAR (DATE OR DATING)).TI,AB. 1 OR 2 OR 3 OR 4 OR 5 OR 6 OR 7 OR 8 OR 9 OR 10 (CHILD ADJ ABUSE).TI,AB. CHILD-ABUSE.MJ. OR CHILD-ABUSE-SEXUAL.MJ. 11 NOT (12 OR 13) (WOM$3 OR FEMALE$3).TI,AB. WOMEN.MJ. OR FEMALE.MJ. (ADOLESCEN$ OR TEEN$).TI,AB. ADOLESCENT.MJ. 15 OR 16 OR 17 OR 18 ADVOCACY.TI,AB. PATIENT-ADVOCACY#.DE. OR CONSUMER-ADVOCACY#.DE. COUNSEL$.TI,AB. COUNSELING#.W..DE. (SOCIAL ADJ WORK).TI,AB. SOCIAL-WORK#.DE. MENTOR$.TI,AB. MENTORS#.W..DE. (CRISIS ADJ INTERVENTION).TI,AB. CRISIS-INTERVENTION#.DE. (RISK ADJ ASSESSMENT).TI,AB. RISK-ASSESSMENT#.DE. (SOCIAL ADJ WELFARE).TI,AB. SOCIAL-WELFARE#.DE. (SOCIAL ADJ SUPPORT).TI,AB. SOCIAL-SUPPORT#.DE. (HELP ADJ SEEKING).TI,AB. (INFORMATION ADJ GIVING).TI,AB. (GIV$3 ADJ INFORMATION).TI,AB. (ADVICE ADJ GIVING).TI,AB. (GIV$3 ADJ ADVICE).TI,AB. (PATIENT ADJ EDUCATION).TI,AB. PATIENT-EDUCATION#.DE. HEALTH-EDUCATION#.DE. SAFETY.TI,AB. SAFETY#.DE. (WOMENS ADJ HEALTH).TI,AB. WOMENS-HEALTH#.DE. 20 OR 21 OR 22 OR 23 OR 24 OR 25 OR 26 OR 27 OR 28 OR 29 OR 30 OR 31 OR 32 OR 33 OR 34 OR 35 OR 36 OR 37 OR 38 OR 39 OR 40 OR 41 OR 42 OR 43 OR 44 OR 45 OR 46 OR 47 14 AND 19 AND 48
Terms will be modified as necessary for other databases, and all search strategies will be reported in the completed review.
We plan to search other electronic sources including the website of the World Health Organisation (http://www.who.int/topics/violence/en/) and the Violence Against Women Online Resources (http://www.vaw.umn.edu/) website.
Searching other resources
Handsearching
We will handsearch the following journals from 1980 onward :American Journal of Public Health, Australian and New Zealand Journal of Public Health, Journal of Family Violence, Medical Journal of Australia, Violence and Victims, and Women's Health.
Citation tracking
We will examine the reference lists of acquired papers, and tracked citations forwards and backwards.
Other search strategies
In order to check for possible omissions, we will contact the first or correspondence authors of all the primary studies included in the review and also relevant researchers and members of intimate partner abuse groups and related organisations around the world. Efforts will be made to make contacts in European countries where English is not the first language via the Domus Medicus organisation, and worldwide via the MRC Gender & Health Unit and the Department of Gender and Women's Health at WHO.
Data collection and analysis
Selection of studies
Abstracts of articles found will be reviewed independently by two review authors in pairs (JR and CR or JR and DD or JR and GF). Where possible, disagreements between the review authors will be resolved by discussion. When agreement cannot be reached during selections, a third adjudicator (either GF or an editor from the CDPLPG editorial base) will be consulted to help assess whether the study potentially fulfils inclusion criteria.
Full articles for abstracts selected will be retrieved and each of the articles assessed independently against the inclusion criteria by two of the review authors, in pairs. Any disagreements will be resolved as above.
Data extraction and management
Data from included studies will be extracted by one review author and entered onto electronic collection forms. Any missing information will be requested from the first or correspondence authors of papers. All extractions will be independently checked by a second author. This work will be done in review author pairs (JR, DD, and CR). Again, where possible any disagreements between the two review authors will be resolved by discussion and no adjudication by a third author will be required. Where necessary, the first authors of studies or the correspondence authors will be contacted to assist in resolving the disagreement. All relevant extracted data will be entered into RevMan 5.0.
We will record the following information in the Table ‘Characteristics of Included Studies’: Methods: randomisation method, intention to treat analysis, power calculation Participants: method of identification/recruitment of participants, setting, country, inclusion criteria, exclusion criteria, numbers recruited, numbers dropped out, numbers analysed, age, ethnicity, socioeconomic status, educational background Interventions: brief descriptions of intervention (including frequency and duration of intervention events) and details of comparison (the ‘-usual care’ provided) Outcomes: timing of assessments, outcomes assessed, scales used Notes: where necessary, further information to aid understanding of the study
Assessment of risk of bias in included studies
We will evaluate the validity of the trials by the following criteria: Methodological quality will be assessed independently by two review authors (JR and GF) according to the Cochrane Collaboration Handbook (Higgins 2008). Review authors will independently assess the risk of bias within each included study based on the following six domains with ratings of ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias):
Sequence generation
Description: the method used to generate the allocation sequence will be described in detail so as to assess whether it should have produced comparable groups; review authors’ judgment: was the allocation concealment sequence adequately generated?
Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias)
Allocation concealment
Description: the method used to conceal allocation sequence will be described in sufficient detail to assess whether intervention schedules could have been foreseen in advance of, or during, recruitment; review authors’ judgment: was allocation adequately concealed?
Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias)
Blinding
Description: any measures used to blind outcome assessors will be described so as to assess knowledge as to which intervention a given participant might have received; review authors’ judgment: was knowledge of the allocated intervention adequately prevented during the study?
Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias)
Incomplete outcome data
Description: If studies do not report intention-to-treat analyses, attempts will be made to obtain missing data by contacting the study authors. Data on attrition and exclusions will be extracted and reported as well the numbers involved (compared with total randomized), reasons for attrition/exclusion where reported or obtained from investigators, and any re-inclusions in analyses performed by review authors; review authors’ judgment: were incomplete data dealt with adequately by the reviewers? (See also ‘Dealing with missing data’, below).
Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias)
Selective outcome reporting
Description: attempts will be made to assess the possibility of selective outcome reporting by investigators; review authors’ judgment: are reports of the study free of suggestion of selective outcome reporting?
Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias)
Other sources of bias
Was the study apparently free of other problems that could put it at a high risk of bias?
In addition to the categories above, we will assess the following for each included study:
Baseline measurement
Description:-did investigators assess intervention and control groups at baseline to ensure comparability between groups; review authors’ judgment: were groups comparable at baseline or were change scores provided to account for differences?
Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias)
Reliability of primary outcome measures
Description: information should be provided by the study investigators to confirm that the primary outcomes were measured using reliable scales (e.g. Cronbach's alphas of ≥ 0.6 are reported); review authors’ judgment: are the primary outcomes assessed using reliable measures?
Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias)
Protection against contamination
Description: the allocation process should protect against contamination, i.e. against the possibility that participants in the control group will receive all or part of an intervention (examples of possible contamination include the interventionist also providing “usual care” for control group participants, or participants in the intervention and control arms having the opportunity to communicate); review authors’ judgment: were adequate steps taken by the study investigators to prevent contamination)?
Ratings: ‘Yes’ (low risk of bias); ‘No’ (high risk of bias) and ‘Unclear’ (uncertain risk of bias)
Measures of treatment effect
Binary outcomes
For binary outcomes, a standardised estimation of the Odds Ratio (OR) with a 95% confidence interval will be calculated.
Continuous outcomes
Continuous data will be analysed where means (or mean changes) and standard deviations are available in published reports or are obtainable from the authors of studies, or calculable. In those instances where means and standard deviations are not available and cannot be calculated, findings will be reported as by the study authors.
Where studies use different scales to measure similar outcomes, treatment effects for these outcomes will be standardised by dividing the mean difference in post-intervention scores or change from baseline scores for the intervention and control groups by the pooled standard deviation to create the Standardised Mean Difference (SMD) with 95% confidence intervals.
Unit of analysis issues
Where trials have used clustered randomisation, we anticipate that study investigators would have presented their results after appropriately controlling for clustering effects (robust standard errors or hierarchical linear models). If it is unclear whether a cluster-randomised trial has used appropriate controls for clustering, the study investigators will be contacted for further information. Where appropriate controls were not used, individual participant data will be requested and re-analysed using multilevel models which control for clustering. Following this, effect sizes and standard errors will be meta-analysed in RevMan5 using the generic inverse method (Higgins 2008)). If appropriate controls were not used and individual participant data is not available, author SE (responsible for statistical guidance in this review) will attempt to control for clustering. If there is insufficient information to control for clustering, outcome data will be entered into RevMan5 using individuals as the units of analysis, and then sensitivity analysis will be used to assess the potential biasing effects of inadequately controlled clustered trials (Donner 2001).
All eligible outcome measures for all trial arms will be included in this review.
Dealing with missing data
We will contact the original investigators to request any missing data and information on whether or not it can be assumed to be ‘missing at random’.
For dichotomous data, we will report missing data and dropouts for each included study and report the number of participants who are included in the final analysis as a proportion of all participants in each study. We will provide reasons for the missing data in the narrative summary and will assess the extent to which the results of the review could be altered by the missing data by, for example, a sensitivity analysis based on consideration of ‘best-case’ and ‘worst-case’ scenarios (Gamble 2005). Here, the ‘best-case’ scenario is that where all participants with missing outcomes in the experimental condition had good outcomes, and all those with missing outcomes in the control condition had poor outcomes; the ‘worst-case’ scenario is the converse (Higgins 2008, section 16.2.2).
For missing continuous data, we will provide a qualitative summary. The standard deviations of the outcome measures should be reported for each group in each trial. If these are not given, we will impute standard deviations using relevant data (for example, standard deviations or correlation coefficients) from other, similar studies (Follman 1992) but only if, after seeking statistical advice, to do so is deemed practical and appropriate.
We will report separately all data from studies where more than 50% of participants in any group were lost to follow-up, and will exclude these from any meta-analyses.
Assessment of heterogeneity
We will assess the extent of between-trial differences and the consistency of results of any meta-analysis in three ways: by visual inspection of the forest plots, by performing the Chi squared test of heterogeneity (where a significance level less than 0.10 will be interpreted as evidence of heterogeneity), and by examining the I2 statistic (Higgins 2008; section 9.5.2). The I2 statistic describes approximately the proportion of variation in point estimates due to heterogeneity rather than sampling error. We will consider I2 values less than 30% as indicating low heterogeneity, values in the range 31% to 69% as indicating moderate heterogeneity, and values greater than 70% as indicating high heterogeneity. We will attempt to identify any significant determinants of heterogeneity categorised at moderate or high.
Assessment of reporting biases
We plan to draw funnel plots to investigate any relationships between effect size and study precision, closely related to sample size (
Data synthesis
Where comparable data are available we plan to perform meta-analyses. The decision whether to pool data in this way will be determined by the comparability of populations and interventions (clinical heterogeneity), of the duration of follow-up (methodological heterogeneity), and of the outcomes being used in the primary studies. Where we deem it inappropriate to combine the data in a meta-analysis, we will document reasons transparently and present effect sizes and 95% confidence intervals for individual outcomes in individual studies.
Subgroup analysis and investigation of heterogeneity
Should sufficient data be available we plan to perform subgroup analyses for the following: comparisons where advocacy is the sole active intervention and those where it is combined with other interventions; and interventions set in health service settings versus non-health service settings. Theoretical justification for subgroup analyses: Domestic violence activists and service providers argue that the effectiveness of advocacy is enhanced by integration of advocacy services into a coordinated community response, including criminal justice agencies, refuges/shelters, welfare support, and health health services. (Feder 2006). This strategy, based on the ‘Duluth’ model, is a network of agreements, processes and applied principles created by the local shelter movement, criminal justice agencies, health care and human service programmes (Clapp 2000). The proposed sub-group analysis will test whether the (potential) effectiveness of advocacy is enhanced (or diminished) by other interventions in the context of a coordinated community response. It is theoretically plausible that even in the absence of a full community coordinated response, an additional intervention combined with advocacy will have a synergistic effect and therefore we will include studies that test a combined intervention, as long as the control group is also exposed to the additional intervention; If domestic violence advocacy is an effective intervention overall, policy makers and service commissioners need to know if this effect is moderated by the setting in which it is delivered. For example, if a health care setting enhanced the effect, then this would be an appropriate context for commissioning advocacy
Sensitivity analysis
To assess the robustness of conclusions to quality of data and approaches to analysis, sensitivity analyses are planned to investigate the effects of study quality, differential drop-out, intention to treat, and duration of follow up.
Timeframe
Review authors intend to complete this work within a year and to update within three years.
Footnotes
Acknowledgements
We are grateful to the DPLPG editors and staff, particularly to our contact editor, Professor Geraldine Macdonald, and Review Group Coordinator, Jane Dennis, for their input.
SFI Campbell supports this review.
Contributions of authors
Jean Ramsay will write the protocol, search databases, select papers, extract data from papers, enter and analyse data, write the first draft of the review and edit text. Gene Feder will edit the protocol, select papers, extract data, analyse data and edit text of the review. Carol Rivas and Danielle Dunne will search databases, select papers, extract data from papers, contribute to assessment of results and edit the text of the review. Sandra Eldridge will provide statistical guidance and edit text of the review. Yvonne Carter, Leslie Davidson, Kelsey Hegarty Angela Taft and Alison Warburton will contribute to the writing and editing of the protocol, results, and final text of the review.
Declarations of interest
None known.
