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WHISPER or SHOUT study: protocol of a cluster-randomised controlled trial assessing mHealth sexual reproductive health and nutrition interventions among female sex workers in Mombasa, Kenya
  1. Frances H Ampt1,2,
  2. Collins Mudogo3,
  3. Peter Gichangi3,4,5,
  4. Megan S C Lim1,2,
  5. Griffins Manguro3,
  6. Matthew Chersich6,
  7. Walter Jaoko4,
  8. Marleen Temmerman3,5,7,
  9. Marilyn Laini3,
  10. Liz Comrie-Thomson1,
  11. Mark Stoové1,
  12. Paul A Agius1,2,8,
  13. Margaret Hellard1,
  14. Kelly L’Engle9,
  15. Stanley Luchters1,2,5
  1. 1 Burnet Institute, Melbourne, Australia
  2. 2 Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
  3. 3 International Centre for Reproductive Health (ICRH), Mombasa, Kenya
  4. 4 University of Nairobi, Mombasa, Kenya
  5. 5 Department of Obstetrics and Gynaecology, International Centre for Reproductive Health (ICRH), Ghent University, Ghent, Belgium
  6. 6 Wits Reproductive Health and HIV Institute, University of the Witwatersrand, Johannesburg, South Africa
  7. 7 Aga Khan University, Nairobi, Kenya
  8. 8 Judith Lumley Centre, La Trobe University, Melbourne, Australia
  9. 9 University of San Francisco, San Francisco, California, USA
  1. Correspondence to Professor Stanley Luchters; stanley.luchters{at}burnet.edu.au

Abstract

Introduction New interventions are required to reduce unintended pregnancies among female sex workers (FSWs) in low- and middle-income countries and to improve their nutritional health. Given sex workers’ high mobile phone usage, repeated exposure to short messaging service (SMS) messages could address individual and interpersonal barriers to contraceptive uptake and better nutrition.

Methods In this two-arm cluster randomised trial, each arm constitutes an equal-attention control group for the other. SMS messages were developed systematically, participatory and theory-driven and cover either sexual and reproductive health (WHISPER) or nutrition (SHOUT). Messages are sent to participants 2–3 times/week for 12 months and include fact-based and motivational content as well as role model stories. Participants can send reply texts to obtain additional information. Sex work venues (clusters) in Mombasa, Kenya, were randomly sampled with a probability proportionate to venue size. Up to 10 women were recruited from each venue to enrol 860 women. FSWs aged 16–35 years, who owned a mobile phone and were not pregnant at enrolment were eligible. Structured questionnaires, pregnancy tests, HIV and syphilis rapid tests and full blood counts were performed at enrolment, with subsequent visits at 6 and 12 months.

Analysis The primary outcomes of WHISPER and SHOUT are unintended pregnancy incidence and prevalence of anaemia at 12 months, respectively. Each will be compared between study groups using discrete-time survival analysis.

Potential limitations Contamination may occur if participants discuss their intervention with those in the other trial arm. This is mitigated by cluster recruitment and only sampling a small proportion of sex work venues from the sampling frame.

Conclusions The design allows for the simultaneous testing of two independent mHealth interventions for which messaging frequency and study procedures are identical. This trial may guide future mHealth initiatives and provide methodological insights into use of reciprocal control groups.

Trial registration number ACTRN12616000852459; Pre-results.

  • Community Gynaecology
  • Anaemia
  • International Health Services
  • Public Health

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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Strengths and limitations of this study

  • Use of a cluster-RCT with reciprocal controls allows for the simultaneous testing of two mHealth interventions, for which message frequency and study processes are identical; only the content of the messages differs. The design mitigates biases from unequal attention in trial groups, positive expectations and non-blinding. Moreover, the approach is efficient, using considerably fewer resources than two independent trials.

  • Contamination may occur if women receiving SRH messages share them or discuss their content with women in the nutrition arm, and vice versa. Contamination would diminish the ability to detect a difference in effectiveness between the two groups. Cluster-based intervention allocation could limit this, though FSWs often work from multiple venues. In addition, we recruited only a small proportion of sex workers across a large geographic area (up to 106 of 760 hot spots, and 860 of an estimated 8,516 FSWs), which diminishes the chances of interaction between trial arms. 

  • A further limitation of this design is that the outcomes of the interventions may interact. While the two health domains were chosen due to the minimal overlap between behaviours, there are some plausible points of influence between the arms. For example, higher rates of pregnancy in the nutrition arm may lower haemoglobin and iron levels in these women. More generally, those receiving messages on one aspect of health may improve their health behaviours across multiple health domains, potentially diluting the effect measures of the comparison between the study arms.

  • The SRH intervention aims to increase demand for contraceptives, and translating demand into raised coverage may be limited by deficiencies in the health system (supply-side issues). Supply-side issues may also influence outcomes in the nutrition group, for example, if a limited range of foods is available in the household, or area more generally

  • The use of both push and pull technologies is a novel and potentially powerful approach, but their simultaneous use may make it difficult to determine the size of their independent effects.

Introduction

Female sex work

Despite sex work being very common in sub-Saharan Africa, with 1 in 20 women estimated to have exchanged sex for money, goods or other favours,1 it remains a highly stigmatised and mostly criminalised practice, including in Kenya.1 2 The hostile politico-legal and social environment limits sex workers’ access to health services, especially for sexual and reproductive health (SRH) and for preventing and treating HIV and other sexually transmitted infections (STIs).3 Strategies such as providing peer education and outreach services are often unable to overcome the myriad structural, personal and financial challenges that female sex workers (FSWs) face.4 This complex situation calls for new interventions that complement the current package of services and improve health and social outcomes for sex workers.

Unintended pregnancies among female sex workers

In many low-income countries, increased provision of low-cost contraceptive methods has raised contraception coverage in the general population,5 6 but such gains remain inequitably distributed within countries,7 and they have not translated into improvements for FSWs.8 This is due to a combination of individual barriers to uptake, such as side effects of some contraceptive methods that impact sex work and myths and misconceptions about particular methods9 10; interpersonal barriers, including peer norms and pressure from partners not to use contraception8 and structural barriers, such as stigmatising treatment of FSWs in the health system.11 12

Most programs established to improve the health of FSWs focus primarily on HIV and other STIs and overlook FSWs’ broader reproductive needs.8 13 14 A systematic review of SRH projects aimed at FSWs in Africa found that few provided pregnancy testing or contraceptive services other than condoms, and few specifically promoted dual method use (the concurrent use of condoms and another effective contraceptive method).15

Available data indicate that use of contraception other than condoms by FSWs in sub-Saharan Africa is variable, but generally low, ranging from around 15% to 50%.8 16–18 Dual method use is rarely measured, but estimated at 10% in one study in Mombasa, Kenya.8 The most popular modern method, injectable progestin,19 is prone to discontinuation and contraceptive failure due to incorrect use.20 21 In contrast, highly effective and low maintenance long-acting reversible contraceptives (LARCs; intrauterine devices and subdermal implants) are underused, with only 7% of a sample of FSWs in Mombasa reporting ever using these methods.8

While few studies have aimed specifically to measure unintended pregnancy among FSWs, HIV prevention studies among FSWs have reported unexpectedly high rates of pregnancy, with 12 month cumulative incidence of 24% in Kenya,823% in Madagascar,1727% in Rwanda22 and 23% in the Caribbean.23 Unintended pregnancy exposes women to significant health and social risks, such as unsafe (and often illegal) abortion, high maternal and infant morbidity and mortality for those who continue with the pregnancy24 and increased financial dependence on sex work, which in turn increases their risk of HIV, other STIs, violence and repeat pregnancies.

Nutrition and nutritional status among female sex workers

Urban food insecurity is a growing public health problem in sub-Saharan Africa and disproportionately affects poor populations, who are more exposed to nutritional risks and have less capacity to adopt effective coping strategies.25 Also, as a result of rapid urbanisation in low-income and middle-income countries—and associated changes in diet, leading to over-reliance on non-home prepared food that tends to be high in energy, sugar and salt and low in nutrients—undernutrition and micronutrient deficiencies are increasingly occurring alongside overnutrition, overweight and obesity.25–27 Both undernutrition and overnutrition are risk factors for poor health and mortality globally.28 In women of reproductive age, micronutrient deficiency leads to pregnancy complications and greater child and maternal morbidity and mortality.29 Anaemia, predominantly caused by iron deficiency, is endemic among women in sub-Saharan Africa; in Kenya, 36% of pregnant women and 25% of non-pregnant women are estimated to be anaemic.30

While there are no published data on malnutrition among FSWs in Kenya, lack of physical activity, chaotic lifestyles and poor diet may lead to unhealthy weight gain, at the same time contributing to their risk of micronutrient deficiency. Equally, food insecurity and hunger have been identified as key push factors for women to initiate and continue sex work.31 32 In one study of sex workers in the Lagos metropolitan area in Nigeria, 35% of respondents had entered sex work in response to food insecurity.33

mHealth interventions

Mobile phones have the potential to effectively engage FSWs, provide information, improve knowledge and address individual and interpersonal barriers to contraception use and nutritional health. Mobile phone coverage is over 80% in Kenya34 and close to ubiquitous among FSWs, who constitute a large mobile population that relies on mobile phones for maintaining social and business networks (unpublished formative research from Mombasa). mHealth interventions allow for repeated, theory-driven, user-centred and low-cost exposure, which are known to be important for securing behaviour change.35

Several systematic reviews have shown that short messaging service (SMS) technology can influence health behaviour.36–39 There are, however, few randomised controlled trials (RCTs) addressing SRH behaviour through SMS.40–42 Two trials in Australia demonstrated improvements in health-seeking behaviour and sexual health outcomes, particularly among young women.41 42 Non-randomised trials and programme evaluations have also had positive findings.43 44 With regard to nutrition, trials in USA and Iran have demonstrated the efficacy of SMS for changing eating behaviours45 and knowledge and attitudes towards iodine consumption,46 respectively. SMS interventions targeting overnutrition have also been tested,47–51 some of which were associated with significant weight reduction.47–49

Overall, however, research is failing to keep up with the rapid proliferation of mHealth interventions.38 Despite the potential gains, there remains a lack of rigorous research on SRH promotion initiatives in LMICs,52 and within the field of nutrition, the lack of rigorous data is even more pronounced. Furthermore, among populations like FSWs from low-resource settings, who tend to have lower health knowledge and fewer resources for obtaining health information, intervention impact may be greater than that observed in high-income countries, but this has yet to be demonstrated empirically.

WHISPER and SHOUT interventions

The Women’s Health Intervention using SMS for Preventing Unintended Pregnancy (WHISPER) study was developed in response to the substantial SRH needs of FSWs in Kenya, the potential benefits of increasing demand for family planning among FSWs through mHealth, and the research gaps in this field. If found to be effective, mHealth for SRH could complement and increase the effectiveness of the current service packages provided for sex workers.

Similarly, the need to improve nutrition for women in poor and vulnerable settings, and the paucity of data on FSWs’ nutritional health, led to the development of the SMS intervention to improve nutritional Heath OUTcomes (SHOUT). The SHOUT trial will provide important preliminary data on this underinvestigated issue and explore whether mHealth is an effective means of reducing malnutrition and anaemia in this population.

This paper presents the protocol for the WHISPER or SHOUT study. Recruitment and enrolment took place from September 2016 to May 2017, and 12-month data collection is anticipated to finish by June 2018.

Methods and analysis

This is a two-arm cluster RCT, which will examine the effectiveness of parallel interventions, addressing SRH and nutrition, delivered via mobile phone among FSWs in Mombasa, Kenya. As each intervention addresses a unique set of specific issues, and the mode of delivery and level of exposure is the same, each trial arm serves as a control group for the other.53 54

Study objectives and outcomes

The overall aim is to improve the health and well-being of FSWs in resource-constrained settings. Specifically, the study will assess the effectiveness of two independent 12-month mobile phone-delivered interventions in improving: (1) SRH outcomes for FSWs receiving the WHISPER intervention, compared with women receiving a nutrition intervention and (2) nutritional status for FSWs receiving the SHOUT intervention compared with women receiving an SRH intervention.

The feasibility and acceptability of the interventions will also be assessed, using a combination of quantitative methods (structured questionnaires at 6 and 12 months) and qualitative methods (in-depth interviews at 12 months).

WHISPER

The primary study outcome for WHISPER is the incidence of unintended pregnancy over 12 months of follow-up. Unintended pregnancy is defined as pregnancy that is mistimed, unplanned or unwanted at the time of conception.55 Women in the study are asked about their pregnancy intentions for the forthcoming 6 months at enrolment and at the 6-month and 12-month visits. A psychometrically-validated six-item questionnaire (London Measure of Unintended Pregnancy) will also be used to score pregnancy intention when pregnancy occurs during study follow-up.56 Pregnancy events are defined as either a positive result on urine pregnancy screening at the 6-month or 12-month visits (or at unscheduled visits at the study clinics, should these occur) or a self-reported pregnancy that occurs between study visits (captured by the follow-up questionnaire).

Secondary outcomes are being measured at baseline and 6 and 12 months and include incidence of HIV and syphilis measured by point-of-care testing. Self-reported secondary outcomes, assessed by structured questionnaire, include SRH knowledge, behaviour (prevalence of LARC and dual method use) and service utilisation.

SHOUT

The primary study outcome for SHOUT is the prevalence of anaemia at 12 months of follow-up. This outcome is measured using a certified laboratory-based haematology machine at baseline and 12 months and is defined as haemoglobin (Hb) level below 12.0 g/dL, consistent with the WHO definition.30 A point-of-care haemoglobinometer will also be used to enable immediate management of anaemia, but the laboratory measure will be used to calculate the primary outcome.

Secondary outcomes include mean Hb levels at 12 months, prevalence of malnutrition (measured by body mass index and mid-upper arm circumference (MUAC) at baseline and 6 and 12 months) and self-reported nutritional knowledge and behaviour (assessed by structured questionnaire at baseline and 6 and 12 months).

Study intervention

Development of WHISPER or SHOUT study interventions

Changes in attitudes and behaviours are most likely to occur when communication interventions are theory-driven, interactive and follow best practice in design and implementation.57 Furthermore, sustainable positive behaviour change among individuals and communities occurs as a process, supported by carefully designed interventions, and not as a single event.58 59

The WHISPER and SHOUT interventions were therefore developed following a predefined protocol and in a systematic and participatory manner, ensuring that the intervention was grounded in evidence, was relevant and acceptable to the study population and followed a logical process of behaviour change based on staged and social cognitive theoretical approaches.60 An extensive review of the literature and consideration of health behaviour change theory informed the development of logic models for both study arms (figures 1 and 2) and the subsequent drafting of messages. Participatory and user-centred design and testing of the mobile phone intervention61–63 was conducted with the target population in 4 informal consultative meetings, 12 formal workshops and 24 usability testing interviews. FSWs were involved in identifying important issues that affect them, developing messages and role model stories, reviewing and refining the content and suggesting changes to the intervention architecture.

Figure 1

Logic model for the SRH intervention (WHISPER). LARCs, long-acting reversible contraceptives; SRH, sexual and reproductive health; STIs, sexually transmitted infections; GBV, gender-based violence.

Figure 2

Logic model for the nutrition intervention (SHOUT). BMI, body mass index; MUAC, middle-upper arm circumference.

Structure and delivery of the intervention

Both the SRH and nutrition intervention consist of SMS (text) messages sent to participants two to three times per week for 12 months. The intervention includes the following components:

  • ‘push’ texts covering the main content domains, providing simple information, motivational messages and strategies to prompt action;

  • ‘role model stories’ about FSWs modelling healthy social norms and sent in 4–5 instalments in 1 month (alternating months with stand-alone messages) and

  • a ‘pull’ or on-demand menu that participants can access by texting into the system to obtain more information on high-priority topics and local services.

The intervention is being delivered by the VOTO mobile (https://www.votomobile.org/) online platform. All messages are loaded onto the system in a predetermined order and sent automatically to each cluster of participants at the scheduled time (calculated from each cluster’s start date). Participants are able to text assigned codes at any time during the study to access the pull messages, with SMS costs incurred by the study (no charge for participants). Content is only accessible to enrolled participants in the relevant intervention group, so that those in the nutrition arm cannot directly access SRH messages and vice versa.

Table 1 presents a summary of the structure of the interventions, showing that they are essentially equivalent in all structural components except the on-demand system. This discrepancy is due to additional pull messages in WHISPER that provide information about SRH services, allowing participants to link in with local sex worker-sensitive providers. This was deemed important on ethical grounds given the sensitive content of the WHISPER intervention and because promotion of contraception can only impact pregnancy rates if delivered alongside accessible services that provide the methods in question. In contrast, the promotion of healthy eating does not require an intermediate service utilisation step to result in improved nutritional outcomes. Furthermore, low-cost or free nutrition services are not widely available in Mombasa, and screening asymptomatic non-pregnant women for anaemia is rarely practised, so we were unable to reliably list relevant services for SHOUT.

Table 1

Number, length and timing of messages for each study arm

Setting and participants

Eligible women were recruited from mapped sex work venues by well-established peer outreach workers. Sex work venues consist of fixed-site businesses including nightclubs, bars, brothels and hotels as well as public spaces such as street corners and beaches, where sex is known to be bought and sold. The study is being conducted in two areas of Mombasa, a major economic centre in Kenya and East Africa, with busy port, rail and industrial enterprises. The local implementing partner, International Centre for Reproductive Health (ICRH; a WHO Collaborating Centre for Reproductive Health in Mombasa) has a research track record in the area dating back to 2002, including many trials and other prospective intervention studies with FSWs64–66 and numerous non-interventional studies.67–70

Inclusion and exclusion criteria

To be eligible for participation, women had to: (1) be aged 16 to 35 years; (2) report having engaged in sex work (received money in exchange for sex) at the site of recruitment in the last 6 months; (3) not be pregnant or planning pregnancy within 12 months; (4) reside within the study area for the duration of the study; (5) have a personal mobile phone with Safaricom or Airtel subscription, and be willing to provide the phone number to the researchers to receive the intervention messages; (6) report being SMS literate (ie, able to read text messages in English); (7) be willing to return for follow-up after 6 and 12 months; (8) be willing to provide contact information (eg, home address) to enable contact or a visit from a member of the research team in the community to remind them to attend follow-up visits and (9) be able and willing to give written informed consent for enrolment in the study.

Exclusion criteria included participation in another mHealth intervention study or in the formative research for this study and having a medical or non-medical condition detected through screening that hinders study participation, as confirmed by the local principal investigator.

Randomisation and sampling strategy

ICRH and collaborators conducted a two-stage geographic mapping and enumeration exercise of FSWs in 2014, estimating that 11 777 (range 9265–14 290) FSWs operate from 1053 venues across four subcounties of Mombasa County.62

We are recruiting FSW from two of these areas: Changamwe (where an estimated 3435 FSWs work from 285 venues) and Kisauni (where an estimated 5081 FSWs work from 475 venues).62

A two-stage sampling process was adopted, drawing on this sampling frame. At the first stage, FSW venues were selected with a probability proportionate to the enumerated size of the sex worker population at the venue and randomised to either the WHISPER or SHOUT arm. Each venue was considered to be a separate cluster. At the second stage, 10 FSWs were consecutively selected from each venue, based on an estimated mean cluster size of 11.62 At venues where less than 10 FSWs were active, all FSWs from the selected venue were invited to participate in the study. Sampling of FSW venues continued until the required sample size was achieved.

Cluster randomisation (allocation of each cluster to either WHISPER or SHOUT) was done centrally by the statistician and prior to recruitment commencing, involving an equal number of clusters in both arms. The participants and study team were blinded to allocation until after cluster enrolment was completed and all baseline questionnaires had been administered for that cluster.

Overall, our approach aimed for optimal (as random as possible) sampling from the FSW population, while minimising the potential intervention dilution effects of message sharing that might occur with individual-level randomisation.

Recruitment and enrolment

Community mobilisers and peer educators employed by the study applied minimum prescreening criteria at the site of recruitment to identify potential study participants. Potentially eligible women received a card with a unique, anonymous referral card number (made up of cluster number and sequential participant number for that cluster). They were asked to attend the nearest study clinic for full eligibility screening, consenting and enrolment within the next 3 days. The study clinics are open 5 days a week and are embedded in existing facilities: an ICRH-run sex-worker drop-in centre in Kisauni and a municipal community health centre in Changamwe. The number of sex workers approached and referral cards disbursed at each cluster was documented as well as reasons for ineligibility at prescreening.

Volunteers had to bring their referral card number with them to undergo the screening process to ensure that only volunteers selected by the random sampling process were enrolled. Women who consented to participate and successfully completed full screening had their study identification number assigned and were then formally enrolled.

Data collection

Study visits were conducted at enrolment and will be repeated after 6 and 12 months at the study clinics. All study staff, including clinicians, research assistants, community mobilisers and peer educators were trained in the study procedures during a 5-day workshop and undertake additional targeted sessions where required.

Enrolment procedures include collecting informed consent, administering the baseline questionnaire and performing clinical examination, urine pregnancy test, point-of-care blood tests for HIV, syphilis and Hb level and venepuncture for full blood count (haemogram: Hb, haematocrit, mean cell volume and white blood count). Follow-up assessments are presented in table 2.

Table 2

Schedule of assessments for the WHISPER or SHOUT trial

Questionnaires were developed in English and translated into Kiswahili and were based on previously validated measurement tools wherever possible. The questionnaire captures detailed sociodemographic information including education, literacy, employment, income, family and living circumstances, health and illness and sex work history. SRH enquiries cover previous pregnancy(ies); 6-month pregnancy intention; contraception and condom use (including dual protection); reasons for discontinuation or non-use of contraception; contraceptive self-efficacy; SRH seeking and service utilisation; sexual risk behaviours; SRH knowledge and attitudes and relationship control and joint-decision-making with non-paying emotional partners. Participants are asked about whether they have recent STI-related symptoms, which are classified and treated as per syndromic STI guidelines.71 Nutrition questions gather data on nutrition-related health seeking and service utilisation; food and hygiene-related knowledge and behaviours; dietary intake and preparation and food purchasing.

Clinical examination is performed by study clinicians and includes STI syndromic management and anthropometric measurements to assess nutritional status (ie, weight, height, waist circumference, hip circumference and MUAC).

The results of rapid diagnostic tests are communicated to the participants at the time of the visit. Participants newly diagnosed with HIV are referred for treatment at specialised centres. Those with positive syphilis rapid test are treated with benzathine penicillin at the study visit. Participants with anaemia receive 1 month of iron and folic acid supplementation and a referral to a health facility for follow-up.

Following enrolment, each participant was registered in the VOTO online platform. No identifying details apart from mobile phone number were entered. Intervention allocation was performed by data management staff independent of the study team and occurred after enrolment was completed for each cluster. The intervention commenced simultaneously for all participants of one cluster in the week following completed cluster-level enrolment.

Data analyses

Analysis of primary endpoints

Primary analysis for WHISPER and SHOUT will compare the primary endpoints (unintended pregnancy incidence and anaemia prevalence, respectively) between groups at 12 months. The data analysis team will be blinded to the allocation of participants. Given the interval-censored nature of unintended pregnancy incidence, discrete-time survival models using generalised linear modelling will be used to compare unintended pregnancy incidence between the two trial arms. Comparison of differences in prevalence of anaemia between study arms will be undertaken using multilevel generalised linear modelling.

These analyses will, where appropriate, provide estimates with robust SEs for FSW venue clustering. Standardised probability weighting will be applied in population-averaged analyses to account for any sampling bias where achieved sample cluster sizes vary. Also, where randomisation is not effective in removing allocation bias, adjusted models will be specified. In all analyses, associations will be considered statistically significant at the 5% level.

Sample size

The sample size was calculated to obtain sufficient power to examine the effects of the SRH intervention. Based on a 12-month incidence of unintended pregnancy of 24% in the control group (data from previous research in the study population),8 enrolment of 860 participants from a minimum of 86 FSW venues would enable detection of a relative reduction in annual unintended pregnancy incidence of 37% (hazard risk=0.63), at 80% power and 5% significance level. This estimate was adjusted for an expected 10% attrition rate (based on previous experience with this population8) and an estimated inflation in SE due to cluster randomisation (design effect=1.18; estimated intracluster correlation coefficient=0.02, with a cluster size of 10).72

Sample size could not be reliably calculated for the SHOUT trial as estimates of anaemia in the local sex work population are not available. However, if we assume a prevalence of 25% (as per the national estimate for non-pregnant women30), the calculated sample size of 860 would allow for detection of an approximate 42% reduction in odds of anaemia prevalence, with inflation in SE and attrition rate adjustments applied as above.

Ethics and dissemination

Written informed consent has been obtained from every study participant. Women aged 16 and 17 years are considered mature minors and able to consent without involving parents and guardians, due to the sensitive nature of the subject matter. Informed consent forms are available in both Kiswahili and English and describe the purpose of the study, the procedures to be followed and the risks and benefits of participation. Most importantly, we are aware of the risk that others seeing the messages may infer that the participant is a sex worker. It is important to mitigate this risk of unintentional disclosure of sex work status and consequent stigma or other adverse events for participants.73 Participants have been counselled about the need for care to be taken to ensure that others do not have access to their phones. The study team also asks that participants report instances of unintentional disclosure. Such reporting allows us to provide support to the women concerned and, through understanding the events surrounding the case, try to find ways to avoid future occurrences.

Ethical approvals have been obtained for protocol version 1.2, dated 22 August 2016 from the Monash University Human Research Ethics Committee (MUHREC—CF16/1552—2016000812) and the Kenyatta National Hospital, University of Nairobi Ethics and Research Committee (KNH-UoN ERC—KNH-ERC/RR/493).

Several dissemination activities are planned, including to health workers and the district office, Kenyan policymakers, at local and international conferences and in academic publications.

Potential impact and significance

The WHISPER study responds to the pressing need for effective and evidence-informed interventions to prevent unintended pregnancies among vulnerable women in resource-constrained settings. Persistent unmet need for family planning contributed to inadequate progress towards reducing child mortality and improving maternal health (Millennium Development Goals 4 and 5) and to the need for the 2010 Global Strategy for Women’s and Children’s Health.7 The ability to decide on the number and timing of children, free from coercion and violence, is a fundamental human right. During the 2012 London Summit on Family Planning,74 the Kenyan Government committed to increasing funding and contraception coverage by 2015. Despite this supply-side commitment, questions remain about the optimum mechanism to increase demand, particularly among marginalised populations. The WHISPER trial will assess an innovative, sustainable and scalable approach to address some of these gaps.

Study outcomes will be used to inform future policies and public health interventions aimed at increasing uptake of family planning as well as other SRH services, among vulnerable populations in a range of similar settings, particularly in LMICs. The rigorous research design and extensive local experience of our team will support advocacy and guide mobile technology services for health promotion as outlined in the 2010 Kenyan Government’s Family Planning Guidelines.75 If found to be effective, this intervention could be sustainably scaled up across East Africa.

With regard to nutritional health, there are renewed efforts to design and implement action-oriented research, but the role of mHealth in these initiatives remains uncertain.76 The SHOUT study will go some way towards clarifying whether SMS technology is a useful way of responding to a long-recognised, but poorly characterised and neglected problem. Indeed, if shown to be effective in this trial, mHealth could be incorporated into broader nutrition strategies for FSWs in Africa and elsewhere and has the potential to be scaled up for use with other women at a population level.

The design mitigates biases from unequal attention in trial groups, positive expectations and non-blinding.53 54 The innovative approach described herein has never been used to prevent unintended pregnancies or improve nutrition among key risk populations in LMICs. A similar methodology in which the effects of SRH text messages were compared with a control SMS intervention was adopted in Australia with a sun safety control group,41 and in USA with a nutrition control group,44 although the latter did not measure nutrition outcomes, unlike our trial. This trial will thus set standards for the mHealth field in LMICs, for both interventions and trial methodology. Lessons learnt about optimising SMS technology for both WHISPER and SHOUT could have considerable impact in Kenya and similar countries, for a range of health priorities outside of those examined here.69

In conclusion, FSWs constitute a large, vulnerable, hard-to-reach population that could be amenable to mHealth interventions given their high mobile phone coverage and utilisation. FSWs are at considerable risk of unintended pregnancies and could benefit markedly from interventions that increase uptake of contraception, with an emphasis on long-acting reversible technologies and dual method use. Similarly, the nutrition arm of the trial responds to the paucity of quality data on rates of malnutrition among sex workers and of effective interventions to improve their nutritional status and metabolic health.

A cluster RCT with an equal-attention control and objective biological primary endpoints (unintended pregnancy and anaemia) is the most robust study design to test the effectiveness of the planned interventions. It is anticipated that the trial will contribute important evidence to mHealth initiatives among vulnerable populations and provide useful methodological insights into the use of reciprocal control groups within such trials.

Acknowledgments

The authors gratefully acknowledge the contribution to this work of funding from the Victorian Operational Infrastructure Support Programme received by the Burnet Institute.

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View Abstract

Footnotes

  • Contributors The following authors were investigators on the trial from the outset: FHA, CM, PG, MSCL, MC, WJ, MT, ML, LC-T, MS, PAA, MH, KL SL. GM more recently joined the trial site in Kenya, leading work in that site. The paper draws from the trial protocol, which was written collectively, under the leadership of the Principal Investigator SL. The final version of the paper was read and approved by all authors.

  • Funding Australia’s National Health and Medical Research Council (NHMRC) provided funding for Project Grant GNT 1087006, Career Development Fellowships for SL and MS, and a Postgraduate Scholarship for FHA. The sponsor did not have any contribution to the study design, data collection, management, analysis or interpretation.

  • Competing interests None declared.

  • Patient consent Obtained.

  • Ethics approval Monash University (MUHREC) in Australia and Kenyatta National Hospital Ethics and research committee in Kenya.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement Data presented in this paper are available from the corresponding author on request.

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