Objective To evaluate the effect, on birth weight and birth weight centile, of use of the PrenaBelt, a maternal positional therapy device, during sleep in the home setting throughout the third trimester of pregnancy.
Design A double-blind, sham-controlled, randomised clinical trial.
Setting Conducted from September 2015 to May 2016, at a single, tertiary-level centre in Accra, Ghana.
Participants Two-hundred participants entered the study. One-hundred-eighty-one participants completed the study. Participants were women, 18 to 35 years of age, with low-risk, singleton, pregnancies in their third-trimester, with body mass index <35 kg/m2 at the first antenatal appointment for the index pregnancy and without known foetal abnormalities, pregnancy complications or medical conditions complicating sleep.
Interventions Participants were randomised by computer-generated, one-to-one, simple randomisation to receive either the PrenaBelt or sham-PrenaBelt. Participants were instructed to wear their assigned device to sleep every night for the remainder of their pregnancy (approximately 12 weeks in total) and were provided a sleep diary to track their use. Allocation concealment was by unmarked, security-tinted, sealed envelopes. Participants and the outcomes assessor were blinded to allocation.
Primary and secondary outcome measures The primary outcomes were birth weight and birth weight centile. Secondary outcomes included adherence to using the assigned device nightly, sleeping position, pregnancy outcomes and feedback from participants and maternity personnel.
Results One-hundred-sixty-seven participants were included in the primary analysis. The adherence to using the assigned device nightly was 56%. The mean ±SD birth weight in the PrenaBelt group (n=83) was 3191g±483 and in the sham-PrenaBelt group (n=84) was 3081g±484 (difference 110 g, 95% CI −38 to 258, p=0.14). The median (IQR) customised birth weight centile in the PrenaBelt group was 43% (18 to 67) and in the sham-PrenaBelt group was 31% (14 to 58) (difference 7%, 95% CI −2 to 17, p=0.11).
Conclusions The PrenaBelt did not have a statistically significant effect on birth weight or birth weight centile in comparison to the sham-PrenaBelt.
Trial registration number NCT02379728.
- fetal medicine
- maternal medicine
- positional therapy
- low birth weight
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Strengths and limitations of this study
A double-blind, sham-controlled, randomised clinical trial.
The first to investigate longitudinal use of positional therapy in pregnancy in the home setting.
Results may not be generalisable to pregnant women with medical or pregnancy complications, non-Ghanaian ethnicity or living in other parts of the world.
Determination of adherence to device use was largely subjective, relying mostly on participants’ self-reports.
May be underpowered to detect a clinically meaningful difference.
Stillbirth (SB; a baby born with no signs of life at or after 28 weeks' gestation) and low birth weight (LBW; weight less than 2500 grams at birth), two devastating complications of pregnancy, disproportionately impact low- and middle-income countries.1–3 Five recent studies have demonstrated an association between maternal supine sleeping position in late pregnancy and risk of third trimester SB (between 28 and 40 completed weeks’ gestation)4–8 and LBW.4 The authors were first to demonstrate that supine sleep during pregnancy is associated with SB via a mediating effect of LBW in an African population.4 The population attributable risk of supine sleep for SB is reported between 3.7% and 26%,4 6–8 suggesting that a significant proportion of third trimester SB could be averted if supine sleep was avoided. While several major risk factors for SB and LBW are not amenable to intervention during the course of the pregnancy (eg, elevated BMI, advanced maternal age), recent studies suggest that maternal sleep position can be modified.9 10 This has particular relevance given that pregnant women spend between 17% to 25% of their sleep time supine in the third trimester.11–13
The contribution of supine sleep to LBW and SB is biologically plausible via aortocaval compression by the gravid uterus when supine, which results in reduced maternal cardiac output, maternal aortic blood flow, placental perfusion and foetal oxygen saturation.14–31 The supine position also exacerbates sleep-disordered breathing (SDB),32 33 which has been linked to adverse pregnancy outcomes.34–36 In persons with mild- to moderate-SDB, the majority experience most of their breathing abnormalities while supine.37Positional therapy (PT) is a simple, safe and effective treatment that helps these individuals maintain a lateral position while sleeping, thereby significantly reducing or eliminating their breathing abnormalities.37 38 However, among persons with SDB, issues with long-term adherence to PT have been documented.38 Drawing on the concept of PT for SDB, the authors designed a PT device for pregnant women called ‘PrenaBelt’ to minimise supine sleep (figure 1).
The primary objective was to determine the effect, on birth weight and customised birth weight centile, of use of the PrenaBelt during sleep in the home setting throughout the third trimester of pregnancy in comparison with a sham-PrenaBelt. Secondary objectives were to: evaluate participant adherence, assess the effectiveness of the PrenaBelt in reducing time sleeping supine, collect participant feedback on the PrenaBelt and evaluate the feasibility of introducing the PrenaBelt to third trimester pregnant women by maternity personnel at an antenatal care clinic in Ghana.
A single-centre, double-blind, randomised (one-to-one), sham-controlled clinical trial. After trial commencement, three protocol amendments occurred: birth weight centile was added as a trial outcome, feedback was inadvertently elicited from some participants in the sham group and a subgroup analysis of the effect of adherence on the primary outcome was specified.
Patient and public involvement
Patients and the public were not involved in the development of the research question or outcome measures, design of the study, recruitment process or conduct of the study. There was no formal plan to disseminate the results to the participants.
Participants were recruited by maternity personnel when presenting for antenatal care at the Korle Bu Teaching Hospital (KBTH) – a tertiary-level hospital in Accra, Ghana, with over 10 000 newborns delivered annually. The KBTH is affiliated with the University of Ghana and is the leading national referral centre. Accra is the capital of Ghana and has an urban population of approximately 2.3 million. Patients expressing interest in the study were screened for eligibility.
Participants were eligible if they had a low-risk singleton pregnancy, were ≥18 years of age, entering the third trimester of pregnancy (range 26 to 30 weeks’ gestational age), residing in the Greater Accra Metropolitan Area or area served by the KBTH and fluent in either English, Twi or Ga. Exclusion criteria included body mass index (BMI) ≥35 kg/m2 at the first antenatal appointment, obstetrical conditions (chronic or gestational hypertension, pre-eclampsia, diabetes, intra-uterine growth restriction), sleep complicated by any medical conditions (known obstructive sleep apnoea, known to get <4 hours of sleep per night due to insomnia, musculoskeletal disorder that prevents sleeping on the side), multiple pregnancy, known foetal-abnormality and advanced maternal age (>35 years old).
All participants in the trial gave written (or verbal, thumbprint and witnessed if illiterate) informed consent, which was endorsed by the participant’s spouse where applicable. This trial was approved and monitored by the Ghana Food and Drugs Authority (Accra, Ghana; Clinical Trial Certificate FDA/CT/152), the Noguchi Memorial Institute for Medical Research Institutional Review Board (Accra, Ghana; CPN 069/14–15) and the IWK Health Centre Research Ethics Board (Halifax, Canada; Project No. 1019318). This study had a local independent trial monitor. There was no independent data monitoring committee.
Each participant was instructed to use her assigned device (PrenaBelt or sham-PrenaBelt) every night for the remainder of her pregnancy (approximately 12 weeks) and was provided a sleep diary and pen to track use.
The PrenaBelt is worn at the level of the waist and has two back pockets each containing two rigid, hollow, polyethylene balls held securely in place by a foam insert (figure 1.). The theoretical mechanism of the PrenaBelt is based on the tennis-ball technique of positional therapy39–41: when supine, the balls apply pressure points across the user’s lower back, prompting her to reposition herself in a lateral position to maintain comfort. The sham-PrenaBelt was identical in appearance, materials and construction to the PrenaBelt, but had soft foam balls instead of firm plastic balls and did not have foam inserts. A body position sensor (BPS) – a commercially available three-axis accelerometer (MSR Electronics GmbH, Henggart, Switzerland) – was incorporated into a subset of the devices (hereinafter referred to as the ‘BPS cohort’) (figure 2).
Participants underwent an enrolment interview to elicit age, gestational age, gravidity, parity, education level, family income, current and pre-pregnancy BMI, nightly sleep duration, current and pre-pregnancy body position at sleep onset and waking, part of the bed the participant sleeps on, pillow use, presence of a bed partner, use of an insecticide treated bed net, participant snoring and past medical conditions.
During recruitment, participants were informed about the reason for the study, that is, recent studies have shown an association between supine sleep and stillbirth and low birth weight; however, the participants were not instructed to avoid or prefer any given sleeping position. Maternity personnel conducted introduction sessions to teach each participant how to use the device, practice trying it on and experience how it feels when lying down. Participants were instructed not to share their device with anyone. Participants were informed that it may take several nights to adjust to sleeping with the device and that they may discontinue use at any time. Participants were instructed to return to KBTH for their regular antenatal care (fortnightly from 28 to 36 weeks’ gestation then weekly until delivery) and labour/delivery. During antenatal care, each participant briefly met with maternity personnel who inquired regarding her willingness to continue participating in the study, continued eligibility, experience of any adverse effects and to remind her to return her device and sleep diary at labour/delivery.
After labour/delivery, participants in the treatment (PrenaBelt) group gave feedback on the PrenaBelt.
The primary outcome, birth weight, was measured using a Detecto newborn scale (Webb City, USA) and documented in the participant’s hospital folder immediately after delivery by a midwife who was not a part of the study team and was not aware of the treatment allocation. Birth weight was subsequently abstracted by the blinded outcomes assessor (MO).
Adherence to using the assigned device (percentage of nights used relative to the total number of nights in the trial) was determined from the sleep diary (all participants) and the BPS (BPS cohort). For the BPS cohort, the raw accelerometer data was resolved to yield body position during device use. Pregnancy outcomes were abstracted from the hospital folders by the blinded outcomes assessor: mode of delivery, gestational age at delivery, sex, stillbirth and any obstetrical diagnosis during labour/delivery. Feedback from participants in the treatment group was collected by maternity personnel: experience understanding and learning to use the PrenaBelt, general use pattern, number of nights of use per week, deterrents to use, other uses, perception of effect on sleep position, quality, quantity and her level of satisfaction, comfort and intention to use the PrenaBelt in a future pregnancy on a 10-point Likert scale (10 out of 10=most favourable response, 1 out of 10=least). At completion of recruitment, the maternity personnel completing the device introduction sessions completed a questionnaire eliciting their training level, professional experience and perspectives on session duration, delivery method and challenges.
Birth weight centile was calculated using the gestation-related optimal weight (GROW) software,42 43 which accounts for the main non-pathological factors affecting birth weight (gestational age, maternal height, maternal weight at booking, parity, ethnicity and sex of the neonate) and, as such, enables delineation between constitutional and pathological smallness and more accurate detection of pregnancies at increased risk for adverse outcomes.44 45 This was an additional trial outcome specified after trial commencement. Small for gestational age was defined as a GROW birth weight centile less than 10%.
The sample size calculation was performed using the ‘PS power and sample size programme’ (V.3.0). Based on a previous study in Ghana by members of our team, we expected a 300 g difference in birth weight between the treatment and sham groups and a SD (pooled) of 643 g.4 For a power (β) of 0.80 and type I error probability (α) of 0.05, we arrived at a sample size of 146 (73 per group) to reject the null hypothesis that the mean birth weight of the treatment and sham groups were equal. Based on an estimated lost-to-follow-up of 20% to 30%, target enrolment was 200 participants (100 per group).
Each participant was randomly allocated to either the treatment or sham group. The allocation sequence was concealed via unmarked, security-tinted, sealed envelopes and generated by a computerised (R statistical software, V.3.2.0),46 one-to-one, simple randomisation scheme by an independent statistician (MB) not involved in any study activities in Ghana. An envelope was drawn in sequence by the recruiters, opened and the participant’s name and birth date were recorded on an enclosed allocation form.
Participants remained blinded to the allocation until after study completion. Efforts to ensure that each participant did not know what the alternate device looked or felt like included conducting separate introduction sessions for each group and ensuring no balls or foam inserts were in the device (so it was configured neither as a PrenaBelt nor sham-PrenaBelt) during demonstrations.
All statistical analyses were performed in the R statistical software package (V.3.2.4).46 Data was double-entered (JW, SM) from scanned originals into Microsoft Excel files, double-entry checked (AK) using the Spreadsheet Inquire add-in and scrubbed prior to the final analysis (AK).
Primary, secondary and adverse event outcomes were compared between groups. Adverse events (AEs) were classified as ‘common AEs’ if they occurred in ≥1% of the participants in the treatment group. For continuous variables, normality was assessed using Q-Q plots and the Anderson-Darling test. T-tests were used for normally-distributed data and Wilcoxon rank sum test for non-normal distributions. All statistical tests were two-sided. Dichotomous and categorical data was analysed using Fisher’s exact test. A p value of ≤0.05 was considered statistically significant and CI of 95% were used.
Between September 2015 and March 2016, 276 women were assessed for eligibility (figure 2). Seventy-six (28%) did not meet the eligibility criteria – we did not collect any data from them. When 200 participants were randomised (n=100 per group), the target enrolment was reached and recruitment stopped. After randomisation , 14 (7%) – five treatments and nine shams – were excluded from the all analyses because we lacked outcome data for them. Of these 14, five had dropped out due to poor adherence and/or discomfort, three were lost to follow-up, four had delivered at another hospital and two were excluded after it was discovered that they had been mistakenly enroled (one had not disclosed a pre-existing obstetrical complication, one was enrolled at 36 weeks’ gestation due to incorrect pregnancy dating). Further, 19 – 12 treatments and seven shams – delivering on or before 30 November, 2015, were excluded from the primary analysis (birth weight and GROW centile) and two secondary analyses that are dependent on birth weight (frequency of low birth weight and small for gestational age) because their birth weight data were flawed (their newborns were weighed on different newborn scales – analogue scales on the KBTH labour wards were replaced with new digital scales on 31 November, 2015). Thus, 167 participants (including four dropouts and one lost to follow-up) – 83 treatments and 84 shams – were included in the primary analysis, which was by intention to treat. The newborns included in the primary analysis were born from 31 November, 2015, through 13 May, 2016.
For those not completing the trial (n=19), there was no difference in time-before-discontinuation of participation between intervention groups (data not shown). See online supplementary file 1 for baseline characteristics of the participants included in the primary analysis (n=167) and those excluded (n=33) per randomised group.
Supplementary file 1
Baseline demographical, obstetrical and previous sleep habit characteristics of the 167 participants included in the primary analysis are shown in table 1 per randomised group. The median age was 29 years and gestational age at recruitment was 28 weeks. The majority of participants were gravida 2 or greater and, hence, para 1 or greater. The majority had tertiary-level education. In the week previous to recruitment, left was the most common sleep onset and waking position, while prone was the most common when not pregnant. The majority of the participants slept with a pillow under their head and had a bed partner. The only statistically significant difference between the trial groups was nightly sleep duration.
The birth weight and GROW centile were higher by 110 grams and 7%, respectively, in the PrenaBelt group; however, this did not reach statistical significance on an unadjusted analysis (table 2) nor a multivariate linear regression controlling for the only difference in baseline characteristics between groups, that is, self-reported sleep duration (see online supplementary file 2).
Supplementary file 2
One-hundred-sixty participants (79 treatments, 81 shams) completed and returned the sleep diary (table 3). Overall adherence was 56%. There was no difference in adherence to using the assigned device between groups. For a subgroup analysis of the effect of adherence on the primary outcome, see online supplementary file 3 – the only statistically significant finding was that for the subgroup of participants with 50% or greater adherence (n=80), each 1% increase in adherence conferred a 0.5% increase in the GROW centile (p=0.046) independent of intervention group.
Supplementary file 3
Pregnancy outcome data were available for 186 participants (95 treatments, 91 shams). There were no differences in pregnancy outcomes between groups (table 4).
Twenty-three participants (14 treatments, nine shams) in the BPS cohort had complete datasets for analysis and are presented in online supplementary file 4. There was no difference in adherence or sleep position between groups in the BPS cohort.
Supplementary file 4
In the feedback interview, participants in the PrenaBelt group were more likely to state that with use of the PrenaBelt, over time, they learnt to not sleep on their backs and that they felt more alert during the day (see online supplementary file 5 for the complete analysis of participant feedback). Maternity personnel feedback indicates that introducing the PrenaBelt in an antenatal care setting by midwives in a timely fashion is feasible (see online supplementary file 6).
Supplementary file 5
Supplementary file 6
In assessing adverse events (AEs), all participants who entered the trial (n=200) were included. One-hundred-six AEs occurred. Ninety-five were classified as common AEs. Causality of all serious AEs (SAEs) and all AEs were assessed by the Principal Investigator and classified as related, probably, possibly or unrelated to the intervention/research. Of the 95 common AEs, nine (9.5%) were judged to be likely related to the intervention. This includes six (3% of n=200) who felt too hot and three (1.5% of n=200) who felt too itchy while wearing the device. Three stillbirths and six SAEs preceding or temporally associated with these stillbirths occurred, were assessed, and were judged unrelated to the research. There was no difference in the frequency of AEs or SAEs between groups by Fisher’s exact test.
This was the first study to longitudinally assess the impact of an intervention for sleep position in pregnant women. Although birth weight and GROW centile were 110 g higher and 7% higher, respectively, in the PrenaBelt group than in the sham group, this was not statistically significant. Adherence was lower than anticipated. Nevertheless, we have demonstrated feasibility of introducing the PrenaBelt to pregnant women in an antenatal care setting by midwives and of use throughout the third trimester since participants were overall pleased with their experience using the PrenaBelt.
Strengths and weaknesses in relation to other studies
Throughout the third trimester (2.5 months), participants were adherent to the device a little over half (56%) of the time. This indicates that pregnant women may be less adherent to PT than non-pregnant individuals with obstructive sleep apnoea whose adherence to PT gradually decreases from 93% at 1 month,47 to 74% at 3 months48 and 60% at 6 months.49 The main factor reducing adherence to PT during late pregnancy in our trial was discomfort, and, specifically, that the PrenaBelt was too hot for the climate in Accra where average lows were ≥25°C during the trial period. Other factors inherent to pregnancy itself (eg, musculoskeletal pain, nocturia, sleep disruption) could have also reduced adherence.
For a discussion of the strengths and weaknesses of the BPS datasets and analyses, see online supplementary file 4.
Meaning of the study
Low birth weight is a significant contributor to stillbirth and neonatal mortality and morbidity in Ghana and globally. Our results showed a 110 g and 7% increase in birth weight and GROW centile, respectively, with the PrenaBelt despite only 56% adherence, but this was not statistically significant. Perhaps low adherence hampered the ability of the PrenaBelt to increase birth weight and birth weight centile, and this may lend support from our subgroup analysis of participants with 50% or greater adherence where each 1% increase in adherence conferred a 0.5% increase in the GROW centile, but this was independent of the intervention. Strategies to maximise adherence to positional therapy in future studies are warranted.
The authors have previously called for the development and testing of a positional therapy device for pregnant women.4 11 The current study implemented such a device in a population of healthy, pregnant women during sleep in the home setting throughout the third trimester of pregnancy in Ghana. This study extends the work of previous studies demonstrating an association between maternal supine sleeping position in late pregnancy and the risk of late-term stillbirth4–8 and low birth weight4 by taking the next logical step in testing an intervention to minimise supine sleep throughout the third trimester. Birth weight was chosen as the primary outcome because it is a risk factor for stillbirth, and the latter outcome would demand a prospective cohort of thousands of women in order to be adequately powered, even in Ghana where perinatal mortality rates are higher than Western countries. Whereas efficacy research can maximise an intervention’s observed effect if one exists, the intervention’s effect in effectiveness research is often tempered by patient-, provider- and system-level50; therefore, this study also lends insight to our previous PrenaBelt studies in Australia and Canada9 10 by focusing on PrenaBelt performance under real-world conditions.
Our study demonstrates that left-sided sleeping position is common in late pregnancy, which is corroborated by other studies.7 9 10 Left-side preference is likely for comfort reasons as well as high prevalence of ‘sleep-on-side’ information from the internet, family and social networks and maternity care providers in Ghana.51 However, maternity care providers may need to recommend interventions to minimise unintentional supine sleep because, at baseline, most pregnant women continue to spend a significant amount of time sleeping supine in late pregnancy.9 11–13 Providers should be aware that pregnant women underestimate the time they spend sleeping supine.10 Further, a threshold for the proportion of supine sleep that is ‘acceptable’ is unknown. As with any intervention, providers should recognise that adherence will present challenges – its precise estimation is not easy and its underlying causes are often elusive. However, many of these challenges can be addressed and adherence optimised through a mutual provider-patient partnership that tailors the intervention to the unique characteristics of pregnant women.52
This study was powered based on previous data from Ghana,4 and it was representative of the population of pregnant women receiving antenatal care at KBTH. The sham-PrenaBelt ensured that the participants in the sham group received every specific benefit of any element of the PrenaBelt above and beyond all benefits that might be attributed to its ability to cause pressure points and, thus, reduced treatment bias. Allocation concealment and randomisation of participants to the treatment or sham group helped avoid allocation bias. Blinding of participants and the outcome assessor further reduced potential sources of bias and strengthened data integrity as did double-entry of data and standardised birth weight measurement on digital newborn scales. This is the first study to investigate use of a positional therapy device by pregnant women in a longitudinal manner in the home setting – as such, the PrenaBelt was tested under real-world conditions. Inclusion of the GROW centile as a primary outcome enabled delineation between constitutional and pathological smallness.
We did not incorporate infrared video confirmation of body position during sleep; however, use of video would not be practical or feasible in a longitudinal study, especially in a limited-resource setting.
Self-reporting of device use via the sleep diary introduced inaccuracy in estimating the adherence rate. A small number of participants indicated that they used their device more nights than they were in the trial; however, in our analysis, we accounted for and corrected this.
We did not include objective measures of sleep architecture, timing or duration via actigraphy or polysomnography; thus, we could not confirm sleep duration. However, in two previous studies of the PrenaBelt, the authors were unable to demonstrate an effect on sleep architecture or respiration using actigraphy9 and polysomnography.10
When instructed to sleep on their left, third-trimester pregnant women can increase the proportion of left-sided sleep and maintain this across multiple nights without a positional therapy device.13 Prior to randomisation, all participants learnt, during the consent process, that the reason for conducting the study was because supine sleep may be a risk factor for SB and LBW. Although participants were not instructed to avoid or prefer any given sleep position, they may have, by simple deduction, concluded that they should avoid supine sleep and prefer lateral sleep. However, since we did not ask participants about whether their sleep onset position changed after study entry, we were unaware of this happening, and this effect, if any, would have been equal across both groups.
Comparison of feedback between participants in the PrenaBelt and sham-PrenaBelt groups (see supplementary file 5) may be biased due to limited inclusion of the sham-PrenaBelt participants up until 2 March, 2016, when it was discovered that feedback from the sham-PrenaBelt participants was being inadvertently collected and this collection was subsequently stopped.
We acknowledge the possibility that a participant may have become un-blinded if she had a friend that was in the alternate treatment group and sought to compare devices. We also acknowledge that randomisation using unmarked, security-tinted, sealed envelopes can be subverted.53 However, we were unaware of anything like this happening or what effect it may have had.
The current study was conducted in a cohort of healthy, non-obese, Ghanaian pregnant women; as such, the results may not be generalisable to women with medical or pregnancy complications, differing ethnicity or living in other parts of the world. Household income of our participants was comparable to the national average, but the majority (85%) had a high-school or tertiary-level education, which is significantly more than the national average in Ghana and could limit the generalisability of our results.54
The current study may be underpowered because despite being based on a previous Ghanaian study by Owusu et al,4 the latter study was small. As women were adherent to the intervention for little over half the time, the current study may be underpowered to detect a clinically meaningful difference.
We did not collect smoking data, which is a relevant risk factor for low birth weight. However, among females in Ghana, the prevalence of current smoking is 0.3% (95% CI 0.1% to 0.4%) and the prevalence of ever smoking is 1.2% (95% CI 0.7% to 1.6%).55 Therefore, the impact of smoking on birth weight in the current study is, at most, negligible.
Given the impact that adherence has on outcomes, research that incorporates measures to accurately elucidate adherence rates and reasons for non-adherence is imperative. Feedback from participants in this trial can be used to improve the PrenaBelt design for increased adherence. Incorporation of accurate and objective measures of body position will eliminate the need to rely on participants’ self-reports and will enable quantification of supine time for linkage to outcomes. If sleeping supine is potentially harmful to the foetus, the amount of supine time that is harmful needs quantification in order to target interventions to avoid this. The results of this trial warrant future, large, multi-ethnic studies that include women with a range of pregnancy and medical conditions to ascertain if the observed effects persist.
Full details of the trial protocol are available with the full text of this article (see online supplementary file 7).
Supplementary file 7
The authors would like to thank the 200 pregnant volunteers who took part in this trial; Josephine Kwaw, Jemima Marfo, Rose Quartey and Joyce Doodo for their support as research assistants; Kevin Li for his expertise in writing the custom Java code to process the raw BPS data; Abdullah Saleh and David Janzen of ICChange (Edmonton, Canada) for administrative support; Dr Samuel Asiamah, Director of Medical Affairs, KBTH, and the late Professor Samuel Amenyi Obed, Head of Department, Obstetrics & Gynaecology Department, KBTH, for their support. There were no patient advisers. Dr Kember would like to especially thank the Dalhousie Medical Research Foundation for support through the Lalia B. Chase Summer Research Studentship and Dalhousie Medical School for support through the Faculty of Medicine Summer Studentship.
Contributors AK designed the protocol, secured funding, ethics approval and the research contracts, trained the study personnel, maintained the sponsor study master record, monitored data collection, cleaned and analysed the data and drafted and revised this manuscript. He is guarantor. AK and AB conceptualised the PrenaBelt. KC designed and manufactured the PrenaBelt research samples. JC, JS, HS, LMO’B, AB, MB, MO and AI designed the protocol. JC oversaw participant recruitment and follow-up, maintained the investigator study master record, hosted Ghana FDA trial site inspections and was the Principal Investigator responsible for all aspects of the trial. JC and AK liaised with the Ghana FDA to secure the clinical trial certificate and report trial activities and results. JS was the independent trial monitor and conducted quarterly monitoring reviews at the trial site. MB and MO wrote the statistical plan and oversaw the statistical analysis. MO was the blinded outcomes assessor. JW maintained the sponsor study master record, monitored data collection, double entered PDF data into Excel and cleaned and analysed the data. SM monitored data collection and double entered PDF data into Excel. AI negotiated the research contract and managed the trial funds. JC, JS, MO, MB, HS, LMO’B, AB, JW, SM, KC and AI made intellectual contributions to this manuscript.
Funding This trial was supported by funding from Grand Challenges Canada Stars in Global Health Award, Round 7, Number 0629-01-10. Grand Challenges Canada is funded by the Government of Canada. The funder had no role in the study design, data collection and analysis, decision to publish or preparation of the manuscript.
Competing interests All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: Dr Kember and Dr Borazjani, are officers at GIRHL, which has a patent application for the PrenaBelt (#WO2016176632A1) on which Dr Kember, Dr Borazjani and Ms Chu are listed as Inventors. Dr Coleman, Mr Okere, Professor Seffah, Mr Wells, Ms MacRitchie, Dr Scott, Mr Butler, Dr Isaac and Dr O’Brien have declared no support from any organisation for the submitted work, no financial relationships with any organisations that might have an interest in the submitted work in the previous 3 years and no other relationships or activities that could appear to have influenced the submitted work.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement Data analysis scripts and output are available upon request from the corresponding author.
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