- Study protocol
- Open access
- Published:
Effectiveness of a culturally tailored SMS alcohol intervention for same-sex attracted women: protocol for an RCT
BMC Women's Health volume 19, Article number: 29 (2019)
Abstract
Background
There is a large disparity between alcohol treatment access and prevalence of hazardous drinking among same-sex attracted women (SSAW). Yet, this population typically report low satisfaction with care and a reluctance to attend mainstream health services. Currently, there are few culturally tailored services for SSAW available despite evidence indicating that many feel uncomfortable in mainstream services. This paper describes the protocol of a randomised controlled trial aimed at examining the impact of a culturally sensitive four-week short message service (SMS) alcohol intervention on SSAW’s alcohol intake, wellbeing, and engagement with alcohol treatment.
Methods
A randomised controlled trial comparing a culturally tailored SMS intervention (The Step One Program) with a generic ‘thank you’ message, and a nested qualitative study to further explore the intervention’s feasibility and acceptability. The Step One Program was co-designed using an Intervention Mapping framework and engaging potential consumers in the developmental process. Participants are block randomised (1:1 ratio) and followed up at the completion of the intervention and at 12 weeks post-intervention. The primary outcomes are alcohol reduction (as measured by the Alcohol Use Disorders Identification Test and self-reported alcohol intake), wellbeing (as measured by the Personal Wellbeing Index – Adult), and help-seeking (as measured by the number of alcohol services accessed and frequency of access). Upon completion of the 12-week post-intervention survey, participants in the intervention group were contacted via email regarding a phone interview on intervention acceptability.
Discussion
This study may have important implications for clinical practice, improve healthcare access and equity for SSAW, and provide direction for future research in this field. The outcomes of the current study may stimulate the development of other culturally tailored health programs for SSAW. The results will inform whether individually tailoring the messages according to content and delivery frequency may be warranted to increase its acceptability.
Trial registration
This trial was registered with the Australian New Zealand Clinical Trials Registry (trial ID: ACTRN12617000768392).
Background
Same-sex attracted women (SSAW) typically report low utilisation of alcohol treatment options [1] despite some evidence of higher levels of alcohol consumption than heterosexual women [2,3,4]. Research also indicates that many SSAW are reluctant to seek help for alcohol-related problems from mainstream clinical services as they report low satisfaction with their care, and have difficulty finding sensitive and appropriate services [5,6,7,8]. Such findings highlight the need for culturally tailored services that meet their specific needs, and increase equity and access to appropriate alcohol treatment. However, to our knowledge, no research has been published which examines interventions specifically for SSAW to facilitate alcohol reduction.
It has been suggested that problematic drinking among SSAW is often associated with stressors specific to their sexual identity or exacerbated by their sexual identity [5] and these stressors are typically revealed during the process of reducing or abstaining from drinking. Yet many health practitioners receive little or no lesbian, gay, bisexual, and transgender (LGBT) cultural sensitivity training, or education about LGBT health issues [9, 10], which means these significant issues are often not adequately addressed or considered [11].
eHealth services are gaining popularity, particularly with women [12], and emerging evidence indicates short message service (SMS) has the potential to assist individuals with reducing their alcohol intake. A systematic review of SMS interventions to prevent alcohol and substance abuse has been conducted [13]. Among the seven studies reporting feasibility and acceptability outcomes, six demonstrated evidence of both and one reported low acceptability [13]. Importantly, six studies included in the review demonstrated a significant reduction in alcohol use [13]. For example, Suffoletto and colleagues [14] explored the effectiveness of delivering alcohol-related assessments plus feedback via SMS to outpatients from four hospital emergency departments in the United States of America. Participants were randomised into three groups: receiving the weekly SMS drinking-related assessments plus feedback (group one, n = 384), receiving weekly SMS drinking-related assessment without feedback (group two, n = 196), or usual care (group three, n = 185). Participants in group one reported significantly less binge drinking days and drinks per drinking day while participants in groups two and three reported a significant increase on both measures [14].
SMS studies to date have not specifically targeted SSAW or LGBT populations. Rather, they have typically used mainstream samples of young adults or students [15,16,17]. To the author’s knowledge, one SMS study has specifically targeted a minority population of socially disadvantaged men [18]. Nonetheless, based on the available evidence, SMS appears to be an appropriate method for delivering a brief alcohol intervention to SSAW. In addition to being accessible and wide reaching [19, 20], it overcomes many commonly reported barriers preventing SSAW from seeking alcohol support. For example, studies using Australian community-based samples of SSAW have found a shared concern of feeling discriminated against or experiencing heterosexist attitudes from the health practitioner, fear of perceived stigma relating to their sexual orientation or fears of being judged for their alcohol use, and a concern that their sexual orientation will be pathologised [1, 6]. As well as overcoming help-seeking barriers, SMS interventions are potentially a safe starting point for SSAW who are considering reducing their alcohol intake but do not yet feel confident seeking face-to-face support.
In order to address the service gap for SSAW, we developed the Step One Program, which is a culturally tailored SMS intervention for SSAW. Although the term ‘tailored’ often refers to customisation for individuals, we will be ‘culturally tailoring’ the message content which Pasick, D’Onofrio, and Otero-Sabogal [21] have defined as “the development of interventions, strategies, messages, and materials to conform with specific cultural characteristics” (p. 145). The program aim is to facilitate alcohol reduction, improve wellbeing, and increase help-seeking among SSAW. The current paper describes the protocol for a randomised controlled trial (RCT) to evaluate the effectiveness of the Step One Program for SSAW, and the feasibility and acceptability of conducting an SMS intervention for SSAW.
Research objectives
Hypotheses
Compared to participants who receive generic ‘thank you’ messages, participants in the Step One Program will report at the end of the intervention (4 weeks) and 12 weeks post-intervention:
-
1.
Significantly lower alcohol intake as measured by the Alcohol Use Disorders Identification Test (AUDIT) and self-report of number of standard drinks consumed in the previous 30 days.
-
2.
Significantly higher wellbeing as measured by the Personal Wellbeing Index – Adult (PWI-A).
-
3.
Significantly higher service engagement as indicated by the number of services accessed and frequency of access.
Methods
Study design
A mixed methods approach was employed with a two-group, parallel, single-blind RCT, and a nested qualitative study to further explore the intervention’s feasibility and acceptability. The trial is registered with the Australian New Zealand Clinical Trials Registry (trial ID: ACTRN12617000768392). Ethics approval was obtained from the Deakin University Human Research Ethics Committee (reference number: 2017–077).
Procedure
The study procedure described in the following sections is presented in Fig. 1.
Participant recruitment
Recruitment commenced April 24, 2017 and data collection is ongoing. Participants are recruited from four sources:
-
1.
General practice clinics across Australia that are known to have a high SSAW case-load;
-
2.
Nation- and State-wide SSAW community and social networks through email, websites, and social media. General women’s health groups are also contacted to reach SSAW not active in the LGBT community;
-
3.
Participants from the Rainbow Women’s Help-Seeking study (which examined professional and social help-seeking by SSAW) [7], and the ALICE study (which investigated socio-cultural factors which influenced alcohol use, sexual orientation, mental health, and health service use among SSAW) [1], with permission from the University of Melbourne;
-
4.
Public common areas, such as restrooms and community noticeboards.
Individuals enrol in the study by completing the online baseline survey using a link included with all study advertisements. The home page of the survey provides detailed information about the study, what participation involves, that participants can withdraw at any time and if so, they will be requested (but not obligated) to complete a survey containing the primary outcome measures, that it is anonymous, and that all information collected is confidential. It is a requirement to indicate consent before proceeding to the survey. To acknowledge the time taken to participate, participants who complete the final follow-up survey will go into a draw to win one of two $50 retail vouchers.
Eligibility criteria
To be eligible, participants need to:
-
1.
Identify as a same-sex attracted woman. This includes transgender women, transgender men, and gender diverse individuals. Transgender men were eligible as these individuals were likely involved in lesbian, bisexual, and queer women’s communities prior to transitioning to male; and if the individual has not undergone gender reassignment surgery, certain female health issues will still affect them.
-
2.
Be aged 18 years or older.
-
3.
Score eight or above on the AUDIT.
-
4.
Own a mobile phone with SMS capabilities and have access to the internet.
-
5.
Respond to both the welcoming email and the test SMS message received after enrolling.
Data collection
Baseline (T1)
Baseline data are collected using an online survey using Qualtrics. The survey primarily measures alcohol use, wellbeing, and current help-seeking. For a list of measures, please refer to Table 1. Participants are asked to provide their primary email address and mobile telephone number to send two follow-up surveys and to deliver the SMS intervention.
Post-intervention (T2)
Following the completion of the four-week intervention, a post-intervention online survey is emailed to participants. Participants in the intervention group are asked to respond to an additional set of questions regarding intervention acceptability. See Table 1 for a list of measures used in the T2 survey.
Follow-up (T3)
At 12 weeks post-intervention, all participants will complete a follow-up survey. See Table 1 for a list of measures used in the T3 survey.
Random allocation
Individuals are screened for eligibility. The first two eligibility criteria are determined in the baseline survey. If an individual responds that they identify as a man or they are aged under 18 years, they will be automatically directed to the end of the survey. The AUDIT score is calculated by RBu once the baseline survey is received. If the individual scores eight or above, they will then receive a welcome email and test SMS message. Once the receipt of both has been confirmed, participants are randomly allocated into the intervention group or the control group using a computer generated block randomisation at a 1:1 ratio with 10 allocations per block to ensure equal numbers in each group if the recruitment goal is not achieved. The sequence of condition allocations are placed in opaque envelopes with participant identification numbers on the front. Once a participant’s eligibility is determined, an envelope is opened by RBu and the participant is allocated to the experimental condition inside the envelope. As participants are blinded, to reduce bias they will not be informed of the number or frequency of messages in the intervention as this information will reveal which group participants have been randomly allocated to.
Intervention group
The intervention consists of automated culturally tailored supportive SMS messages which are delivered through MessageMedia, an Australian SMS platform. It is designed to begin on a Monday and end on a Sunday. Messages are delivered daily for four weeks with two messages on Thursdays, Fridays and Saturdays, as people typically drink alcohol on these days (40 messages in total). Messages are sent at varying times between 3:00 p.m. and 4:30 p.m., and on days with two messages, the second is delivered between 6:00 p.m. and 8:00 p.m. On Sundays, the message asks participants to reply via SMS with the number of standard drinks they have consumed in the past seven days. In the welcome email, all intervention participants receive a standard drinks chart and an author-developed list of LGBT specific or friendly alcohol and mental health services.
Intervention development
The intervention was co-designed with potential consumers and utilised an Intervention Mapping framework [22, 23] which provides a best practice process to intervention development with a strong focus of engaging potential consumers in the developmental process. This consisted of six steps to develop an evidence-based intervention with each step being cumulative so that the result of each step guided the next (Bush, R., Brown, R., McNair, R., Lubman, D. I., & Staiger, P. K.: Development of a tailored SMS alcohol intervention for same-sex attracted women using an intervention mapping framework, in preparation).
The first step involved a needs assessment to identify the gap in culturally tailored or appropriate alcohol treatment services available to SSAW. This included a comprehensive literature review and running focus groups with SSAW to explore whether they wanted a culturally tailored service and what they believed should be included. Step two involved developing a table of performance objectives (see Table 2) in which each cell of the table outlined what participants would need to learn or change in order to reduce their alcohol intake, improve their wellbeing, and increase their access to alcohol support services. The selection of these three primary outcomes was influenced by the literature and focus group discussions. Alcohol reduction was selected because research has consistently demonstrated a greater risk for hazardous alcohol use among SSAW compared to heterosexual women [3, 4, 24]. Wellbeing was selected as SSAW who drink hazardously also tend to have a lower level of general wellbeing as they commonly report experiences of sexual and physical abuse [25, 26], low social support [27, 28], and less access to housing, employment and healthcare [29,30,31]. Finally, help-seeking was selected as SSAW are typically reluctant to seek professional help due to a lack of services which are responsive to their unique needs [5, 8].
Four mediating variables were included in the table of performance objectives (see Table 2). These were identified during the needs assessment and were deemed important for successful behaviour change among SSAW. Improving resilience was the first mediator identified and was selected because the main elements of resiliency, such as self-efficacy, hope, and coping [32], have the potential to help individuals cope with stress and adversity in a healthy way [33]. The second mediator, mental health, was deemed to be an influential factor in SSAW’s ability to improve the primary outcomes as they have been found to experience higher levels of depression and anxiety compared to heterosexual women [34], and SSAW who have poor mental health have been found to drink at hazardous levels [24, 35]. Facilitating social support was chosen as the third mediator because individuals who lack social support are more vulnerable to poor health outcomes [36]. Lastly, enhancing motivation to change was deemed an important factor as it can influence an individual’s desire to comply with and finish a treatment program [37].
Step three in the Intervention Mapping framework involved selecting behaviour change techniques which were operationalised in step four. The selection of behaviour change techniques was guided using three theoretical frameworks: the Information-Motivation-Behavioural Skills model [38], the Health Belief Model [39, 40], and the Theory of Planned Behaviour [41]. SSAW were consulted during step four which involved developing the SMS statements in order to receive their input on the messages to ensure the language and content was appropriate and perceived to be helpful. Table 3 displays some example SMS messages that were delivered to the intervention group. The current paper describes the process for implementing steps five and six which pertain to the delivery and evaluation of the intervention.
Comparator group
Consistent with other trials that have delivered SMS alcohol interventions (e.g. [15, 42]), participants in the control group receive a generic weekly message: “Thank you for participating in this study. For LGBT specific information on drug/alcohol use, mental health and sexual health, visit http://touchbase.org.au”. These participants do not receive a standard drinks chart or a list of support services. At the end of the study, after completing the 12-week follow-up survey, participants receive the list of support services and are offered the chance to receive the intervention messages.
Measures
Demographic information
The baseline survey includes: standard demographic questions, such as age, residential location and education; questions related to sexuality ask participants about their sexual identity, behaviour and attraction; questions related to gender identity asking whether they identify as female, transgender female, transgender male, non-binary, or another identity not listed; and questions related to relationship status, whether participants are currently in a relationship, with how many people, and the gender of their partner/s.
Alcohol use and severity
Severity of alcohol use is measured using a modified version of the AUDIT, a screening tool developed by the World Health Organisation [43]. The instrument includes ten questions answered on Likert scales assessing three domains: hazardous alcohol use, dependence symptoms, and harmful alcohol use. Questions three to 10 were changed to ask participants about drinking outcomes in the past four weeks at T2 and past 12 weeks at T3 rather than the past year to avoid collecting overlapping data. A score of 0–7 indicates ‘low-risk’ alcohol use; a score of 8–15 indicates a ‘hazardous level’ of alcohol use; a score of 16–19 indicates a ‘harmful level’ of alcohol use; and a score of 20 or more indicates ‘high-risk’ alcohol use. This scale has been validated and successfully used in different populations [43, 44].
Alcohol use is measured by asking participants to report the number of standard drinks they consumed in the previous 30 days. A basic standard drinks chart is included to assist with calculations.
Wellbeing
The PWI-A [45] is used to assess general wellbeing. This 7-item scale measures seven domains: standard of living, personal health, achieving in life, personal relationships, personal safety, community-connectedness, and future security. A supplementary item asks about satisfaction with life as a whole. Items are answered on a 10-point Likert scale ranging from 0 (no satisfaction at all) to 10 (completely satisfied). Australian and international research has demonstrated good reliability of the PWI-A [46].
The WHO Quality of Life-BREF (WHOQOL-BREF) [47] is used as it is a comprehensive measure of wellbeing and quality of life. This instrument contains 26 questions measuring four domains: physical health, psychological, social relationships, and environment. In Australia, the physical health, psychological, and environment domains have been found to have acceptable internal reliability, and marginal internal reliability was found for the social relationships domain [48].
Service access and engagement
Participants are presented with a list of alcohol reduction services and treatments. These are: a general practitioner (GP), another doctor (e.g. specialist doctor), a nurse from your general practice, another nurse, social worker, counsellor/psychologist/psychiatrist you attended in person, general counselling telephone helpline (e.g. Lifeline [a free 24/7 telephone crisis hotline]), Counselling Online (a free 24/7 online text-based support for individuals affected by alcohol and other drugs), other drug or alcohol telephone helpline, drug or alcohol service you attended in person, drug or alcohol self-help group (e.g. AA), hospital emergency department, police, naltrexone, acamprosate, disulfiram, and other. At T1 they are asked to indicate which ones they are currently accessing. At T2 and T3, the same list is presented and participants indicate how frequently they accessed each service in the past four weeks at T2 and past 12 weeks at T3 (did not use, 1–2 times, 3–5 times, 6–9 times, 10+ times). Participants can list additional services not included in the survey and are asked to indicate whether any of the services are LGBT or SSAW-specific.
Resilience
Resilience is measured using the Brief Resilience Scale (BRS) [49], a 6-item scale measuring ability to recover from stress. Each item is answered on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Strong internal reliability has been demonstrated in a sample of women with a mean age of 47.3 years [49].
Depression, anxiety, and stress
The Depression Anxiety Stress Scales (DASS) is a 42-item scale with three subscales: depression, anxiety, and stress [50]. Items reflect a negative emotional indicator and are answered on a 4-point Likert scale ranging from 0 (did not apply to me at all) to 3 (applied to me very much, or most of the time). Scores of 10 or more on the depression subscale, 8 or more on the anxiety subscale, and 15 or more on the stress subscale indicate higher than ‘normal’ experiences of each subscale. In a non-clinical general sample of adults, strong internal reliability has been found for the subscales and total score [51].
Social support
Social support is measured using the Medical Outcomes Study Social Support Survey (MOS-SS), a 19-item scale [52]. The items are answered on a 5-point Likert scale ranging from 1 (none of the time) to 5 (all of the time) and ask questions related to emotional/informational support, tangible support, affectionate support, and positive social interaction. Research has demonstrated sound psychometric properties for this survey [52, 53].
Motivation to change
Motivation to change is measured using the Treatment Needs and Motivation Scale (TNMS) [54]. This scale consists of 36 items and five subscales. The current study administered questions from the Problem Recognition, the Desire for Help, and the Treatment Readiness subscales which is a total of 23 items answered on a 5-point Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree). Items from the Pressures for Treatment and Treatment Needs subscales are not included as they were not deemed to be relevant to the current study. The scale items were reworded as the phrase “drug use” was replaced with “alcohol use”. Internal reliability has been demonstrated for the three subscales [55].
Community connectedness
Community connectedness is measured using the Connectedness to the LGBT Community Scale [56]. A modified version that was used in the Rainbow Women’s Help-Seeking Study [7] is also included to measure connectedness to the mainstream community. The original scale was modified to remove references to the LGBTI community in New York and instead ask about the LGBT community in general. Both scales contain 7 items answered on a 4-point Likert scale ranging from 1 (strongly disagree) to 4 (strongly agree). Good internal reliability has been demonstrated for the LGBT and mainstream versions in an Australian sample of sexual minority women [7].
Intervention acceptability
At T2, intervention group participants are asked questions that were adapted from two separate studies [57, 58]. They are asked: how often they read the SMS messages (always, often, sometimes, rarely); if the times they received the SMS messages were appropriate (yes, no); how satisfied they were with the frequency of the SMS messages (very satisfied to very dissatisfied); how frequently they would have preferred to receive messages (more than twice daily, twice daily, once daily, at least once per week, never); how helpful they found the SMS messages using a 5-point Likert scale ranging from 1 (extremely unhelpful) to 5 (extremely helpful); if they would recommend SMS messages as an intervention for other SSAW (most certainly, probably, not sure, certainly not); and the importance of culturally tailored message content, measured using an author developed question on a 5-point Likert scale ranging from 1 (unimportant) to 5 (extremely important).
Data analysis
All data will be de-identified and coded to ensure participant anonymity and it will stored securely on a password protected computer. Participant names, corresponding identification numbers, and contact information will be kept in a separate password protected file on a secure computer at Deakin University. Only the research team will have access to secured information. Only the de-identified data will be used in the analysis phase and in the summary of main outcomes that will be delivered to participants, any subsequent publications, and conference presentations. A data monitoring committee is not needed for this study as it is a non-therapeutic (behavioural) trial using low-risk procedures, and as such, the study team will be monitoring the data.
Analyses will be conducted using an intention-to-treat (ITT) approach [59], with all randomised participants analysed in their allocated group regardless of the intervention uptake. Every effort will be made to minimise missing data and where appropriate, multiple imputation will be used to handle missing data.
Baseline participant’s characteristics will be compared between the intervention and control group using Chi-squared or Fisher’s exact test for categorical variables, and t test or Kruskal-Wallis test for numerical variables. Drop-out bias will also be assessed using the same approach but comparing the baseline characteristics of participants with complete data against those lost to follow-up as a function of treatment group.
The intervention effect during the 12-week follow-up on numerical outcomes will be assessed using linear mixed models including group, time (T1, T2 and T3) and group by time interaction as fixed effects and participant as a random effect.
The feasibility of the Step One Program will be determined by the proportion of individuals who completed the baseline survey and were eligible to participate, how often participants read the SMS messages, how often they respond to Sunday SMS messages, and completion of follow-up surveys. Intervention acceptability will be reported by 1) summarising the multiple choice responses to the intervention acceptability questions in the T2 survey, and 2) performing qualitative analysis of the short answer responses and interviews using simple coding to identify recurring patterns and themes.
We will explore whether changes between T1 and T2 in the primary outcomes are correlated with changes in the potential mediator variables.
Power analysis
The target sample size is 50 participants per group. Assuming 20% attrition rate, we estimate to collect complete data from 40 participants in each group. Sample size calculations are based on the only available Australian study of alcohol consumption in this population, the Australian Alcohol and lesbian/bisexual women – insights into culture and emotions (ALICE) study [1], which provides estimates for the AUDIT score. A sample size of 40 participants per group has 84% power for detecting a post-intervention mean change of 4 points in the AUDIT score, when the standard deviation is assumed as 6 for two independent groups, two-tailed test, and significance level 0.05. This sample size will achieve 80% power to detect effect sizes larger than 0.63 for any of the other scores outcomes.
Discussion
SSAW tend to drink more than heterosexual women but are generally less likely to seek treatment [4, 24, 60, 61]. There are a range of barriers to SSAW accessing treatment [1], including a reluctance to attend mainstream clinical services, reports of low satisfaction with their care in these services, and difficulty finding services that are culturally tailored, sensitive and meet their needs [5,6,7,8]. Thus, an alcohol intervention that is culturally tailored and aware of issues specific to SSAW has the potential to increase access to support.
Few alcohol support services exist in Australia which are culturally tailored to SSAW or LGBT individuals. Thorne Harbour Health [62] run a therapeutic group for SSAW called Drink Limits and LGBT specific Alcoholics Anonymous (AA) meetings are available. However, limitations exist for many SSAW as these services are mainly urban based, and anonymity is reduced as the LGBT population is quite small. Thus, it is not surprising that in an Australian study exploring SSAW’s help-seeking preferences and behaviour (n = 1706), 55% of respondents reported that they use the internet for informal support [63]. SMS appears to be a viable option given research highlighting SMS as an effective method for delivering brief alcohol interventions in mainstream samples [13], as well as it overcoming many help-seeking barriers, including the option for anonymity, and broad access for women in both urban and rural locations.
The Step One Program was therefore developed using an Intervention Mapping framework to guide the process. While the co-design of this intervention is believed to increase the likelihood that SSAW will engage with it [64], we anticipate facing a number of operational issues during this study. Foremost is the potential difficulty recruiting the targeted number of participants given that minority groups can be difficult to reach [65, 66]. This is addressed by advertising the study in a variety of LGBT-specific and mainstream locations as described above under ‘Participant Recruitment’. Additionally, it is anticipated that recruiting participants for an alcohol intervention may also have its challenges as research has found SSAW avoid seeking alcohol reduction support as they fear stigma and judgement relating to their sexual orientation and problem with alcohol use [1, 6]. Therefore, the majority of advertising will be online via community and social networks through email, websites, and social media as they are discrete and do not require the individual to publicly take a flyer or write down the website. Furthermore, online advertisements present fewer barriers as the individual can open the survey straight away, whereas posters and flyers rely on an individual’s motivation to type the survey link into their phone or computer at a later time.
A final potential operational issue relates to the blinding of participants. That is, the study is being conducted in accordance with the CONSORT guidelines [67] and participants are blinded to the condition they are allocated to. Nonetheless, given that participants are aware that the study is trialling the effectiveness of a set of culturally tailored SMS messages, they are likely aware of which group they have been allocated to (i.e. the intervention or control group). This may bias the results on primary outcomes due to differential reporting in the intervention group. In addition, being in the control group, which involved completing the baseline survey and receiving a weekly SMS, may be an intervention in itself and act as a placebo effect. A similar outcome was reported from a trial of an online alcohol intervention developed in the United Kingdom for the general population [68]. The researchers were unable to demonstrate a significant difference between the control and intervention groups due to the fact that everyone reduced their alcohol intake [69].
Despite these potential operational issues, the significance of this research is underlined by insufficient knowledge among health practitioners regarding the specific needs and issues unique to SSAW despite their high risk for hazardous drinking and low satisfaction with care. Therefore, the results of this study may have important implications for clinical practice and provide direction for future research. This study will be the first to develop an empirically-based alcohol intervention specifically for SSAW and to provide evidence of their response to a brief alcohol intervention. Given the unique nature of this study, it is anticipated that the findings may inform policy makers of the feasibility and acceptability of a culturally tailored alcohol intervention for SSAW. Outcomes may also highlight the role of SMS interventions to facilitate alcohol reduction for SSAW, and promote resilience and wellbeing. Finally, this study may also inform and encourage the development of other health programs that are culturally tailored to SSAW, other specific groups within the LGBT community, or other marginalised hard to reach population groups.
Abbreviations
- AUDIT:
-
Alcohol Use Disorders Identification Test
- BRS:
-
The Brief Resilience Scale
- DASS:
-
Depression Anxiety Stress Scales
- LGBT:
-
Lesbian, gay, bisexual, and transgender
- MOS-SS:
-
The Medical Outcomes Study Social Support Survey
- PWI-A:
-
The Personal Wellbeing Index – Adult
- RCT:
-
Randomised controlled trial
- SMS:
-
Short message service
- SSAW:
-
Same-sex attracted women
- TNMS:
-
The Treatment Needs and Motivation Scale
- WHOQOL-BREF:
-
The WHO Quality of Life-BREF
References
McNair RP. The ALICE study: alcohol and lesbian/bisexual women: insights into culture and emotions. 2014. https://www.glhv.org.au. Accessed 24 Aug 2015.
Operario D, Gamarel KE, Grin BM, Ji Hyun L, Kahler CW, Marshall BDL, van den Berg JJ, Zaller ND. Sexual minority health disparities in adult men and women in the United States: National Health and nutrition examination survey, 2001-2010. Am J Public Health. 2015;105(10):e27–34. https://doi.org/10.2105/AJPH.2015.302762.
Hughes T, Wilsnack S, Kristjanson A. Substance use and related problems among U.S. women who identify as mostly heterosexual. BMC Public Health. 2015;15(1):803. https://doi.org/10.1186/s12889-015-2143-1.
Roxburgh A, Lea T, de Wit J, Degenhardt L. Sexual identity and prevalence of alcohol and other drug use among Australians in the general population. Int J Drug Policy. 2016;28:76–82. https://doi.org/10.1016/j.drugpo.2015.11.005.
Hughes T. Alcohol use and alcohol-related problems among sexual minority women. Alcohol Treat Q. 2011;29(4):403–35. https://doi.org/10.1080/07347324.2011.608336.
Koh CS, Kang M, Usherwood T. ‘I demand to be treated as the person I am’: experiences of accessing primary health care for Australian adults who identify as gay, lesbian, bisexual, transgender or queer. Sex Health. 2014;11(3):258–64. https://doi.org/10.1071/SH14007.
McNair RP, Bush R. Mental health help seeking patterns and associations among Australian same sex attracted women, trans and gender diverse people: a survey-based study. BMC Psychiatry. 2016;16(1):1–16. https://doi.org/10.1186/s12888-016-0916-4.
McNair RP, Szalacha LA, Hughes TL. Health status, health service use, and satisfaction according to sexual identity of young Australian women. Womens Health Issues. 2011;21(1):40–7. https://doi.org/10.1016/j.whi.2010.08.002.
Kitts RL. Barriers to optimal care between physicians and lesbian, gay, bisexual, transgender, and questioning adolescent patients. J Homosex. 2010;57(6):730–47. https://doi.org/10.1080/00918369.2010.485872.
Mullens AB, Fischer J, Stewart M, Kenny K, Garvey S, Debattista J. Comparison of government and non-government alcohol and other drug (AOD) treatment service delivery for the lesbian, gay, bisexual, and transgender (LGBT) community. Substance Use Misuse. 2017:1–12. https://doi.org/10.1080/10826084.2016.1271430.
Senreich E. A comparison of perceptions, reported abstinence, and completion rates of gay, lesbian, bisexual, and heterosexual clients in substance abuse treatment. J Gay Lesbian Mental Health. 2009;13(3):145–69. https://doi.org/10.1080/19359700902870072.
White A, Kavanagh D, Stallman H, Klein B, Kay-Lambkin F, Proudfoot J, Drennan J, Connor J, Baker A, Hines E, et al. Online alcohol interventions: a systematic review. J Med Internet Res. 2010;12(5):e62. https://doi.org/10.2196/jmir.1479.
Kazemi DM, Borsari B, Levine MJ, Li S, Lamberson KA, Matta LA. A systematic review of the mHealth interventions to prevent alcohol and substance abuse. J Health Commun. 2017;22(5):413–32. https://doi.org/10.1080/10810730.2017.1303556.
Suffoletto B, Kristan J, Callaway C, Kim KH, Chung T, Monti PM, Clark DB. A text message alcohol intervention for young adult emergency department patients: a randomized clinical trial. Ann Emerg Med. 2014;64(6):664–72.e664. https://doi.org/10.1016/j.annemergmed.2014.06.010.
Bock BC, Barnett NP, Thind H, Rosen R, Walaska K, Traficante R, Foster R, Deutsch C, Fava JL, Scott-Sheldon LAJ. A text message intervention for alcohol risk reduction among community college students: TMAP. Addict Behav. 2016;63:107–13. https://doi.org/10.1016/j.addbeh.2016.07.012.
Cadigan JM, Martens MP, Dworkin ER, Sher KJ. The efficacy of an event-specific, text message, personalized drinking feedback intervention. Prev Sci. 2018. https://doi.org/10.1007/s11121-018-0939-9.
Merrill JE, Boyle HK, Barnett NP, Carey KB. Delivering normative feedback to heavy drinking college students via text messaging: a pilot feasibility study. Addict Behav. 2018;83:175–81. https://doi.org/10.1016/j.addbeh.2017.10.003.
Crombie IK, Irvine L, Williams B, Sniehotta FF, Petrie D, Jones C, Norrie J, Evans JMM, Emslie C, Rice PM, et al. Texting to reduce alcohol misuse (TRAM): Main findings from a randomized controlled trial of a text message intervention to reduce binge drinking among disadvantaged men. Addiction. 2018;113(9):1609–18. https://doi.org/10.1111/add.14229.
Mackay MM. 10th edition - special topic: Mobile phone use compared to the tablet and personal computer. NSW: AMIA AMPLI; 2014.
Sensis. Yellow social media report. 2014. https://www.sensis.com.au. Accessed 10 Mar 2016.
Pasick RJ, D'onofrio CN, Otero-Sabogal R. Similarities and differences across cultures: questions to inform a third generation for health promotion research. Health Educ Q. 1996;23(1_suppl):142–61. https://doi.org/10.1177/109019819602301s11.
Bartholomew LK, Parcel GS, Kok G. Intervention mapping: a process for developing theory and evidence-based health education programs. Health Education and Behavior. 1998;25(5):545–63. https://doi.org/10.1177/109019819802500502.
Bartholomew Eldredge LK, Markham CM, Ruiter RAC, Fernández ME, Kok G, Parcel GS. Planning health promotion programs: an intervention mapping approach. 4th ed. San Francisco: Jossey-Bass & Pfeiffer Imprints, Wiley; 2016.
Hughes T, Szalacha LA, McNair R. Substance abuse and mental health disparities: comparisons across sexual identity groups in a national sample of young Australian women. Soc Sci Med. 2010;71(4):824–31. https://doi.org/10.1016/j.socscimed.2010.05.009.
Rothman EF, Exner D, Baughman AL. The prevalence of sexual assault against people who identify as gay, lesbian, or bisexual in the United States: a systematic review. Trauma Violence Abuse. 2011;12(2):55–66. https://doi.org/10.1177/1524838010390707.
Stoddard JP, Dibble SL, Fineman N. Sexual and physical abuse: a comparison between lesbians and their heterosexual sisters. J Homosex. 2009;56(4):407–20. https://doi.org/10.1080/00918360902821395.
Carastathis GS, Cohen L, Kaczmarek E, Chang P. Rejected by family for being gay or lesbian: portrayals, perceptions, and resilience. J Homosex. 2016:1–32. https://doi.org/10.1080/00918369.2016.1179035.
Rohner RP. The parental "acceptance-rejection syndrome": universal correlates of perceived rejection. Am Psychol. 2004;59(8):830–40. https://doi.org/10.1037/0003-066X.59.8.830.
Herek GM. Hate crimes and stigma-related experiences among sexual minority adults in the United States: prevalence estimates from a national probability sample. J Interpers Violence. 2009;24(1):54–74. https://doi.org/10.1177/0886260508316477.
McCann E, Sharek D. Survey of lesbian, gay, bisexual, and transgender people's experiences of mental health services in Ireland. Int J Ment Health Nurs. 2014;23(2):118–27. https://doi.org/10.1111/inm.12018.
Welch S, Collings SCD, Howden-Chapman P. Lesbians in New Zealand: their mental health and satisfaction with mental health services. Aust N Z J Psychiatry. 2000;34(2):256–63. https://doi.org/10.1080/j.1440-1614.2000.00710.x.
Gillespie BM, Chaboyer W, Wallis M. Development of a theoretically derived model of resilience through concept analysis. Contemp Nurse. 2007;25(1–2):124–35. https://doi.org/10.5172/conu.2007.25.1-2.124.
Figueroa WS, Zoccola PM. Individual differences of risk and resiliency in sexual minority health: the roles of stigma consciousness and psychological hardiness. Psychol Sex Orientat Gend Divers. 2015;2(3):329–38. https://doi.org/10.1037/sgd0000114.
King M, Semlyen J, Tai SS, Killaspy H, Osborn D, Popelyuk D, Nazareth I. A systematic review of mental disorder, suicide, and deliberate self harm in lesbian, gay and bisexual people. BMC Psychiatry. 2008;8:70. https://doi.org/10.1186/1471-244x-8-70.
Johnson T, Hughes T, Cho YI, Wilsnack S, Aranda F, Szalacha LA. Hazardous drinking, depression, and anxiety among sexual-minority women: self-medication or impaired functioning? J Stud Alcohol Drugs. 2013;74(4):565–75. https://doi.org/10.15288/jsad.2013.74.565.
Rothman EF, Sullivan M, Keyes S, Boehmer U. Parents' supportive reactions to sexual orientation disclosure associated with better health: results from a population-based survey of LGB adults in Massachusetts. J Homosex. 2012;59(2):186–200. https://doi.org/10.1080/00918369.2012.648878.
DiClemente CC, Bellino LE, Neavins TM. Motivation for change and alcoholism treatment. Alcohol Res Health. 1999;23(2):86–92.
Fisher JD, Fisher WA. Changing AIDS-risk behavior. Psychol Bull. 1992;111(3):455–74. https://doi.org/10.1037/0033-2909.111.3.455.
Rosenstock IM. Historical origins of the health belief model. Health Educ Monogr. 1974;2(4):328–35. https://doi.org/10.1177/109019817400200403.
Rosenstock IM, Strecher VJ, Becker MH. Social learning theory and the health belief model. Health Educ Behav. 1988;15(2):175–83. https://doi.org/10.1177/109019818801500203.
Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211. https://doi.org/10.1016/0749-5978(91)90020-T.
Abroms LC, Ahuja M, Kodl Y, Thaweethai L, Sims J, Winickoff JP, Windsor RA. Text2Quit: results from a pilot test of a personalized, interactive mobile health smoking cessation program. J Health Commun. 2012;17(Suppl 1):44–53. https://doi.org/10.1080/10810730.2011.649159.
Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG. Alcohol Use Disorders Identification Test: Guidelines for use in primary care, 2nd edition. 2001. https://www.who.int/en. Accessed 27 Nov 2015.
Reinert DF, Allen JP. The alcohol use disorders identification test (AUDIT): a review of recent research. Alcohol Clin Exp Res. 2002;26(2):272–9. https://doi.org/10.1111/j.1530-0277.2002.tb02534.x.
Cummins RA, Eckersley R, Pallant J, Van Vugt J, Misajon R. Developing a national index of subjective wellbeing: the Australian Unity wellbeing index. Soc Indic Res. 2003;64(2):159–90. https://doi.org/10.1023/A:1024704320683.
International Wellbeing Group. Personal Wellbeing Index. 5th ed. Melbourne: Australian Centre on Quality of Life, Deakin University; 2013.
World Health Organization. Division of Mental Health. WHOQOL-BREF: introduction, administration, scoring and generic version of the assessment: field trial version, December 1996. Geneva: World Health Organization; 1996.
Skevington SM, Lotfy M, O'Connell KA. The World Health Organization's WHOQOL-BREF quality of life assessment: psychometric properties and results of the international field trial. A report from the WHOQOL group. Qual Life Res. 2004;13(2):299–310. https://doi.org/10.1023/B:QURE.0000018486.91360.00.
Smith BW, Dalen J, Wiggins K, Tooley E, Christopher P, Bernard J. The brief resilience scale: assessing the ability to bounce back. Int J Behav Med. 2008;15(3):194–200. https://doi.org/10.1080/10705500802222972.
Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the depression anxiety stress scales (DASS) with the Beck depression and anxiety inventories. Behav Res Ther. 1995;33(3):335–43. https://doi.org/10.1016/0005-7967(94)00075-U.
Crawford JR, Henry JD. The depression anxiety stress scales (DASS): normative data and latent structure in a large non-clinical sample. Br J Clin Psychol. 2003;42(2):111–31. https://doi.org/10.1348/014466503321903544.
Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32(6):705–14. https://doi.org/10.1016/0277-9536(91)90150-B.
McDowell I. Measuring health: a guide to rating scales and questionnaires. New York: Oxford University Press; 2006.
Joe GW, Broome KM, Rowan-Szal GA, Simpson DD. Measuring patient attributes and engagement in treatment. J Subst Abus Treat. 2002;22(4):183–96. https://doi.org/10.1016/S0740-5472(02)00232-5.
Simpson DD, Joe GW, Knight K, Rowan-Szal GA, Gray JS. Texas Christian University (TCU) short forms for assessing client needs and functioning in addiction treatment. J Offender Rehabil. 2012;51(1–2):34–56. https://doi.org/10.1080/10509674.2012.633024.
Frost DM, Meyer IH. Measuring community connectedness among diverse sexual minority populations. J Sex Res. 2012;49(1):36–49. https://doi.org/10.1080/00224499.2011.565427.
Agyapong VIO, Milnes J, McLoughlin DM, Farren CK. Perception of patients with alcohol use disorder and comorbid depression about the usefulness of supportive text messages. Technol Health Care. 2013;21(1):31–9. https://doi.org/10.3233/THC-120707.
Haug S, Schaub MP, Venzin V, Meyer C, John U, Gmel G. A pre-post study on the appropriateness and effectiveness of a web- and text messaging-based intervention to reduce problem drinking in emerging adults. J Med Internet Res. 2013;15(9):e196. https://doi.org/10.2196/jmir.2755.
White IR, Carpenter J, Horton NJ. Including all individuals is not enough: lessons for intention-to-treat analysis. Clinical Trials. 2012;9(4):396–407. https://doi.org/10.1177/1740774512450098.
Brown R, McNair R, Szalacha L, Livingston PM, Hughes T. Cancer risk factors, diagnosis and sexual identity in the Australian longitudinal study of Women's health. Womens Health Issues 2015:1–8. doi:https://doi.org/10.1016/j.whi.2015.04.001.
Lea T, de Wit J, Reynolds R. Minority stress in lesbian, gay, and bisexual young adults in Australia: associations with psychological distress, suicidality, and substance use. Arch Sex Behav. 2014;43(8):1571–8. https://doi.org/10.1007/s10508-014-0266-6.
Thorne Harbour Health. Drink limits. https://thorneharbour.org/lgbti-health/womens-health/drink-limits/ (2018). Accessed 25 Nov 2018.
McNair RP, Bush R. Rainbow women and help seeking research report. 2015. https://www.beyondblue.org.au. Accessed 10 Aug 2015.
Bock BC, Rosen RK, Barnett NP, Thind H, Walaska K, Foster R, Deutsch C, Traficante R. Translating behavioral interventions onto mHealth platforms: developing text message interventions for smoking and alcohol. JMIR mHealth uHealth. 2015;3(1):e22. https://doi.org/10.2196/mhealth.3779.
Sadler GR, Lee H-C, Seung-Hwan Lim R, Fullerton J. Recruiting hard-to-reach United States population sub-groups via adaptations of snowball sampling strategy. Nurs Health Sci. 2010;12(3):369–74. https://doi.org/10.1111/j.1442-2018.2010.00541.x.
Moradi B, Mohr JJ, Worthington RL, Fassinger RE. Counseling psychology research on sexual (orientation) minority issues: conceptual and methodological challenges and opportunities. J Couns Psychol. 2009;56(1):5–22. https://doi.org/10.1037/a0014572.
Schulz K, Altman D, Moher D, Group tC. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. BMC Med. 2010;8(1):18. https://doi.org/10.1186/1741-7015-8-18.
Murray E, Khadjesari Z, Linke S, Hunter R, Freemantle N. Health on the web: randomised trial of work-based online screening and brief intervention for hazardous and harmful drinking. BMC Public Health. 2013;13:505. https://doi.org/10.1186/1471-2458-13-505.
Khadjesari Z, Freemantle N, Linke S, Hunter R, Murray E. Health on the web: randomised controlled trial of online screening and brief alcohol intervention delivered in a workplace setting. PLoS One. 2014;9(11):e112553. https://doi.org/10.1371/journal.pone.0112553.
Acknowledgments
Not applicable.
Funding
This work was supported by an industry research scholarship awarded to Rachel Bush from Deakin University in collaboration with Turning Point, Australia. This project is being conducted as part of a PhD research project and as such, the scholarship provided the student with financial assistance; however, it did not bias the design of the study or delivery of the intervention.
Availability of data and materials
Not applicable.
Author information
Authors and Affiliations
Contributions
RBu design of the study, development of the intervention, major contributor in the manuscript preparation. RBr design of the study, development of the intervention. RM design of the study, development of the intervention. LO provided statistical support conducting the power analysis and designing a data analysis plan. DIL design of the study, development of the intervention. PKS design of the study, development of the intervention, manuscript preparation, final approval of the manuscript and senior author on the paper. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Ethics approval was obtained from the Deakin University Human Research Ethics Committee on April 20, 2017 (reference number: 2017–077; Appendix B). Participants indicated their consent to participate in the study by checking a box on the home page of the baseline survey before completing the survey.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
About this article
Cite this article
Bush, R., Brown, R., McNair, R. et al. Effectiveness of a culturally tailored SMS alcohol intervention for same-sex attracted women: protocol for an RCT. BMC Women's Health 19, 29 (2019). https://doi.org/10.1186/s12905-019-0729-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s12905-019-0729-y