Background
Preterm birth (PTB) is a serious public health concern. It is the leading cause of perinatal mortality in Canada [1] and is also associated with an increased risk of neonatal death [2]. Beyond its contribution to mortality, PTB can have lifelong effects on neurodevelopmental functioning through cerebral palsy, impaired learning, and visual disorders [3]. The maternal psychological cost is also high as many women experience anxiety and stress over the immediate and long-term health consequences for their preterm infant [4].
Interventions to reduce the risk for PTB include progesterone [5], cerclage [6, 7], and pessary [8]. Most of these studies have been conducted in women with a short cervix and/or a previous spontaneous PTB [5‐7]. Furthermore, to date, studies have not found one prevention to be most effective in reducing PTB risk [9, 10]. The uncertainty over the best prevention is reflected in guidelines which note the limited evidence to support progesterone [11] and cerclage uses [12]. In the absence of clear guidelines, the decision to use PTB prevention is mostly left up to women and their healthcare providers. Given that 56.2% of women who eventually have PTB do not have traditional PTB risk factors [13], studying the acceptability of PTB prevention and identifying preferences and concerns that can be addressed during counselling is important.
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Moreover, although there is a call for patient-centred prenatal care [14], women’s preferences for and concerns about PTB prevention have not been well-studied. A previous cross-sectional survey [15] and two chart review studies [16, 17] focused on the acceptability of and concerns about progesterone. We identified one healthcare provider survey on cerclage [18], but most studies have focused on counselling practices on progesterone [15, 18‐24]. The need to consider women’s preferences is important because evidence has shown that most women reported greater satisfaction with their pregnancy when they were actively involved in medical decisions [25], and satisfaction, in turn, has been linked to increased confidence in their ability to take better care of themselves and their infants [26]. Despite this importance, there has been no study to date conducted in women to understand their preferences for and concerns about PTB prevention overall.
To help address this important gap, we designed a survey, informed by previous studies [15] to understand women’s preferences for and concerns about PTB prevention including progesterone, cerclage, and pessary.
Methods
The design of our survey followed Dillman’s Method [27] and the reporting of results was informed by Kelley et al. [28].
Recruitment
The study sample included women from obstetric clinics and midwifery clinics in Southwestern Ontario, Canada. Between November 2015 and February 2016, clinic staff mentioned the survey to all potentially eligible women. Interested women were referred to research personnel (V.H.), who described the purpose of the survey and distributed the hard copies of the questionnaire. Consent to participate was indicated by completion and submission of the questionnaire. The Hamilton Health Sciences/McMaster University granted Research Ethics Board approval for study prior to commencement (Reference Number: 2015-0459-GRA).
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Eligibility Criteria
Pregnant women who could read English sufficiently well were eligible to participate. Because greater than 56.2% of women who experience PTB do not present with traditional risk factors [13], we included all women, not only those identified as having increased risk of PTB.
Questionnaire
To inform the design of our questionnaire, the first to our knowledge, to study women’s preferences for and concerns about PTB prevention including progesterone, cerclage, and pessary, three electronic databases (MEDLINE, EMBASE, and CINAHL) were searched up until April 2015 to identify previous surveys on PTB prevention. One previous survey that used an invalidated questionnaire to ask women about their preferences for progesterone therapy was identified [15]. We used the findings of this previous study to inform the development of our questionnaire.
Our questionnaire gathered information on: 1) sociodemographics, 2) past and current pregnancies, 3) preferences for and concerns about each of the three PTB preventions, 4) likelihood of following their healthcare provider’s recommendation for each of the PTB preventions and 5) sources of information that women would seek to learn more about PTB prevention (see Additional File 1). Questions were a mix of five-point Likert scales, open-ended, and semi-closed ended questions. The questionnaire was piloted for comprehensibility of questions and answers and for flow in three women of child-bearing age and was revised accordingly.
Outcomes
Our primary outcome was the preference not to use PTB prevention if women were told they were at increased risk for PTB. Secondary outcomes included the proportion of women who reported they would not follow their healthcare provider’s recommendation for PTB prevention and associated factors.
Sample size calculation
To provide a precise estimate for our primary outcome, we used a one proportion calculation formula to determine our sample size: n = p (1-p) (1.96/m)2, where n is the sample size, p is the estimated proportion, and m is the margin of error. Because we were unsure of the proportion of women who would prefer any PTB prevention, we assumed that p = 0.50. For this estimated proportion, we found that the formula provided the largest sample size when m = 0.06. Thus, we conservatively estimated that we needed to recruit 310 respondents for our survey with a missing data rate of 15%.
Statistical Analysis
Responses from completed questionnaires were entered into LimeSurvey (Version 1.91+ Build 120302) for data management. Data were analyzed using SAS 9.4 (SAS Institute Inc, Cary, North Carolina). Normally distributed continuous variables were calculated as means with standard deviations (SD) and non-normally distributed continuous variables were calculated as medians with their interquartile ranges (IQR). Categorical variables were described as counts and percentages. Continuous variables were tested for significance using the independent t-test or Mann–Whitney-Wilcoxon test and categorical variables were tested using Fisher’s Exact or chi-squared tests. A threshold of p ≤ 0.05 was used to determine statistical significance.
Multivariable logistic regression was conducted for our primary and secondary outcomes, and the results are reported as adjusted odds ratios (aOR) with 95% confidence intervals (CIs). To select variables for our multivariable logistic regression, we considered a priori biologically plausible variables performed with a p-value for entry in a stepwise regression set at 0.10 and p-value for stay set at 0.20. A priori chosen variables included age, ethnicity, education, relationship status, type of healthcare provider whom women selected for prenatal care, smoking status, PTB risk status for the current pregnancy, gestational week at the time the questionnaire was completed, concerns about PTB preventions, and in the case of the secondary outcome, preference to not use PTB prevention. Multicollinearity was assessed using variance inflation factor (VIF), where a VIF less than or equal to five was considered to be evidence of multicollinearity. If multicollinearity was detected, the variable with the most biological plausibility was kept or if biological plausibility between variables were considered equal, the variable with the greater number of responses was kept. Only participants who provided a response to every question in the questionnaire was included in the multivariable logistic model for analysis (i.e. complete-case analysis).
For our primary outcome, women were asked to “imagine a scenario in which their healthcare provider thought they were at increased risk of premature or early birth” and then to indicate which of the following types of management they would prefer. Based on their responses, we grouped women who responded with a preference for one or more of the three PTB preventions (progesterone, cerclage, pessary) as having a “preference to use prevention” while women who responded with a preference for close-monitoring only or preference for no prevention at all as having a “preference to not use prevention.” For our secondary outcome, women were asked to indicate “how likely or unlikely they would be to follow their healthcare provider’s recommendation if their main healthcare provider had recommended the following preventions?” Taking a similar approach as our primary outcome, women who reported that they were “not likely” or “slightly unlikely” to follow healthcare provider’s recommendation on a 5-point Likert scale were categorized as those who “reported they would not follow the recommendation” and women who reported that they were “neutral,” “slightly likely,” or “extremely likely” as those who “reported neutral or would follow recommendation.”
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Results
Recruitment results
Of the 365 pregnant women who were eligible, 311 women completed the survey, a response rate of 85.2%. One woman was excluded as she had had >50% incomplete data. The average missing data rate per question was 1.4%.
Characteristics of survey respondents
Respondents had a mean age of 30.9 years and self-identified predominantly as European/White-Caucasian (82.1%, Table 1). Most women were married or in a common-law relationship (94.5%), and had received at least some post-secondary education (84.5%). A small proportion currently smoked (7.4%). The median gestational age at the time the questionnaire was completed was 32.0 weeks (IQR: 26.7- 35.7 weeks). Most women had had a previous pregnancy (61.5%), of whom 25 (13.2%) reported that they had had a PTB. Thirteen (4.2%) pregnant women have been told by their healthcare provider that their current pregnancy was at increased risk for PTB, of whom 10 had received a cervical assessment by ultrasound only (76.9%), one received a cervical assessment by ultrasound and progesterone (7.7%), one was instructed to do light physical activity (7.7%), and one did not report receiving an ultrasound or advice (7.7%). Respondents reported receiving most of their prenatal care from obstetricians (44.4%), midwives (33.8%), and family doctors (17.4%).
Table 1
Characteristics of the study sample of survey respondents
Variable | Response, n (%)a
|
|---|---|
Pregnant Women’s Characteristics | |
Age (years), mean ± SD | 30.9 (5.4) |
Gestational age (weeks), median (interquartile range) | 32.0 (26.7, 35.7) |
European/White-Caucasian (self-reported) | 252 (82.1) |
Married or in a common-law relationship | 292 (94.5) |
Education | |
Secondary school or less | 48 (15.5) |
Post-secondary school | 262 (84.5) |
Current smokers | 23 (7.4) |
Obstetric History | |
Prior miscarriage | 28 (14.7) |
Prior full-term birth (≥37 weeks) | 150 (48.5) |
Prior preterm birth (<37 weeks) | 25 (13.2) |
Received progesterone | 2 (8.0) |
Advised to rest in bed (bedrest) | 1 (4.0) |
Current Pregnancy Characteristics | |
First-time pregnancy | 119 (38.5) |
Told by healthcare provider that they were at increased risk for preterm birth | 13 (4.2) |
Received ultrasound | 10 (76.9) |
Received ultrasound + progesterone | 1 (7.7) |
Preference for PTB prevention
Most women (65.8%) reported that if their healthcare provider told them they were at increased risk for PTB, they would prefer not to use any prevention; of whom 185 (93.4%) women preferred close-monitoring only and 13 (6.6%) women preferred no prevention at all including close-monitoring (Table 2). Of those who did report a preference for prevention, 53 (60.2%) women reported they preferred to use one type of prevention to manage their PTB risk and 25 (24.3%) women reported they preferred to use all three preventions. Progesterone was the most frequently chosen choice amongst women who preferred to use one type of prevention (84.9%) and amongst women who preferred to use two preventions (94.4%). Our univariate and multivariate logistic regression did not identify any significant factors associated with a preference to not use PTB prevention.
Table 2
Comparison of the characteristics between women who preferred no prevention vs women who preferred at least one prevention
Variablesa
| Preferred no preventionb, (n = 198) | Preferred preventionc (n = 103) | p-value for differenced
|
|---|---|---|---|
Pregnant Women’s Characteristics | |||
Age (years), mean ± SD | 30.7 (5.6) | 31.0 (5.1) | 0.64 |
European or White-Caucasian ethnicity (self-reported) | 167 (85.6) | 90 (88.2) | 0.59 |
Post-secondary education | 164 (82.8) | 90 (87.4) | 0.32 |
Married or in common-law relationship | 185 (93.9) | 99 (96.1) | 0.59 |
Current Smokers | 14 (7.1) | 8 (7.8) | 0.82 |
Primary Healthcare Provider | |||
Obstetrician | 87 (43.9) | 49 (47.1) | 0.42 |
Family physician | 62 (31.3) | 37 (35.6) | |
Midwife | 40 (20.2) | 13 (12.5) | |
Otherse
| 9 (4.6) | 5 (4.8) | |
Obstetric History | |||
Prior full-term birth | 95 (79.8) | 51 (76.1) | 0.58 |
Prior preterm birth | 14 (11.8) | 11 (16.2) | 0.50 |
Prior use of preterm birth prevention | 2 (14.3) | 1 (9.1) | 1.00 |
Received progesterone | 0 (0.0) | 1 (50.0) | 1.00 |
Advised to rest in bed (bedrest) | 1 (100.0) | 1 (50.0) | 1.00 |
Current Pregnancy Characteristics | |||
Gestational age at point of survey completion (weeks), mean ± SDf
| 31.0 (7.6) | 29.6 (7.5) | 0.12 |
At increased risk for preterm birth | 12 (6.1) | 1 (1.0) | 0.04 |
Preterm Birth Prevention Preferences | |||
Preferred no close-monitoring nor prevention | 13 (6.6) | ||
Preferred close-monitoring only | 185 (93.4) | ||
Preferred close-monitoring and prevention | 15 (14.6) | ||
Preferred progesterone only | 13 (86.7) | ||
Preferred cerclage only | 1 (6.7) | ||
Preferred all 3 preventions | 1 (6.7) | ||
Preferred preterm birth prevention only | 88 (85.4) | ||
Selected 1 prevention only | 53 (60.2) | ||
Progesterone only | 45 (84.9) | ||
Cerclage only | 5 (9.4) | ||
Pessary only | 3 (5.7) | ||
Selected 2 preventions | 18 (20.4) | ||
Progesterone + Cerclage | 8 (44.4) | ||
Progesterone + Pessary | 9 (50.0) | ||
Cerclage + Pessary | 1 (5.6) | ||
Selected all 3 preventions | 25 (24.3) | ||
Almost all women rated concerns about effectiveness of the three preventions or the potential harm caused by them to the infant or themselves as “slightly important” or “extremely important”, on a Likert scale ranging from “extremely unimportant” to “extremely important” (Table 3). In contrast, the cost of progesterone was not viewed as being of high importance to most women.
Table 3
Importance of various concerns about preterm birth prevention
Issue | Number of responses, n
| Not at all important, n (%) | Slightly not important, n (%) | Neutral, n (%) | Slightly important, n (%) | Extremely important,n (%) |
|---|---|---|---|---|---|---|
Potential Harm Caused to Baby | ||||||
Progesterone | 309 | 1 (0.3) | 1 (0.3) | 7 (2.3) | 8 (2.6) | 292 (94.5) |
Cerclage | 306 | 2 (0.6) | 2 (0.6) | 4 (1.3) | 9 (2.9) | 289 (94.4) |
Pessary | 307 | 2 (0.6) | 2 (0.6) | 9 (2.9) | 9 (2.9) | 285 (92.8) |
Potential Harm Caused to Mother | ||||||
Progesterone | 309 | 4 (1.3) | 6 (1.9) | 20 (6.5) | 86 (27.8) | 193 (62.5) |
Cerclage | 306 | 5 (1.6) | 5 (1.6) | 14 (4.6) | 60 (19.6) | 222 (72.5) |
Pessary | 307 | 3 (1.0) | 5 (1.6) | 18 (5.9) | 71 (23.1) | 210 (68.4) |
Effectiveness of Prevention | ||||||
Progesterone | 309 | 1 (0.3) | 4 (1.3) | 29 (9.4) | 67 (21.7) | 239 (78.1) |
Cerclage | 306 | 2 (0.6) | 3 (1.0) | 22 (7.2) | 40 (13.1) | 239 (78.1) |
Pessary | 307 | 2 (0.6) | 3 (1.0) | 26 (8.5) | 52 (16.9) | 224 (73.0) |
Associated Financial Cost | ||||||
Progesterone | 309 | 92 (29.8) | 38 (12.3) | 75 (24.3) | 65 (21.0) | 39 (12.6) |
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Likelihood of following healthcare provider’s recommendation for PTB prevention
The highest proportion of women reported they would not follow their healthcare provider’s recommendation was for cerclage (50.2%), followed by pessary (28.7%) and then progesterone (10.9%). (Table 4)
Table 4
Comparison of charactertistics between women who reported unlikely vs women who reported undecided/likely to follow preterm birth prevention
Variablesa
| Progesterone | Cerclage | Pessary | ||||||
|---|---|---|---|---|---|---|---|---|---|
Unlikely to follow recommendationb (n = 27) | Undecided or likely to follow recommendationc (n = 220) | p-valued
| Unlikely to follow recommendationb (n = 123) | Undecided or likely to follow recommendationc (n = 122) | p-valued
| Unlikely to follow recommendationb (n = 70) | Undecided or likely to follow recommendationc (n = 174) | p-valued
| |
Pregnant Women’s Characteristics | |||||||||
Age 30 and over | 13 (48.1) | 146 (66.4) | 0.09 | 78 (63.4) | 81 (66.4) | 0.59 | 41 (59.4) | 117 (67.2) | 0.30 |
European or White- Caucasian ethnicity (self-reported) | 23 (85.2) | 197 (90.8) | 0.32 | 109 (88.6) | 108 (90.8) | 0.67 | 58 (84.1) | 159 (92.4) | 0.06 |
Post-secondary education | 23 (85.2) | 190 (86.8) | 0.77 | 104 (84.6) | 106 (87.6) | 0.58 | 57 (82.6) | 153 (87.9) | 0.30 |
Married or in common-law relationship | 22 (81.5) | 212 (96.8) | 0.005 | 116 (94.3) | 116 (95.9) | 0.77 | 65 (94.2) | 167 (96.0) | 0.51 |
Current Smokers | 3 (11.1) | 18 (8.2) | 0.71 | 9 (7.3) | 13 (10.7) | 0.38 | 4 (5.8) | 17 (9.8) | 0.45 |
Primary Healthcare Provider | |||||||||
Obstetrician | 12 (44.4) | 80 (36.4) | 0.32 | 42 (34.2) | 50 (41.0) | 0.26 | 27 (38.6) | 64 (38.8) | 0.52 |
Family physician | 7 (25.9) | 39 (17.7) | 27 (22.0) | 18 (14.8) | 16 (22.9) | 29 (16.7) | |||
Midwife | 8 (29.6) | 89 (40.4) | 46 (37.4) | 50 (41.0) | 23 (32.9) | 73 (42.0) | |||
Otherse
| 0 (0.0) | 12 (5.4) | 8 (6.5) | 4 (3.3) | 4 (5.7) | 8 (4.6) | |||
Obstetric History | |||||||||
Prior full-term birth | 13 (48.1) | 107 (48.6) | 0.13 | 58 (47.2) | 60 (49.2) | 0.84 | 32 (45.7) | 86 (49.4) | 0.46 |
Prior preterm birth | 2 (7.4) | 17 (7.7) | 0.67 | 6 (4.9) | 12 (9.8) | 0.21 | 3 (7.9) | 15 (13.9) | 0.40 |
Prior use of preterm birth prevention | 1 (50.0) | 2 (11.8) | 0.31 | 1 (16.7) | 2 (16.7) | 1.00 | 0 (0.0) | 3 (20.0) | 1.00 |
Current Pregnancy Characteristics | |||||||||
Third trimester at point of survey completion | 17 (63.0) | 155 (70.8) | 0.50 | 87 (71.3) | 84 (68.8) | 0.78 | 47 (67.1) | 123 (71.1) | 0.54 |
Increased risk for preterm birth | 1 (3.7) | 9 (4.1) | 1.00 | 2 (1.6) | 7 (5.7) | 0.10 | 0 (0.0) | 9 (5.2) | 0.06 |
Preterm Birth Prevention Preferences and Issues | |||||||||
Preferred no prevention | 20 (76.9) | 137 (63.7) | 0.20 | 96 (78.7) | 61 (52.1) | <0.0001 | 56 (80.0) | 100 (59.5) | 0.003 |
Likely to have concerns about potential harm to baby | 27 (100.0) | 213 (96.8) | 1.00 | 118 (95.9) | 118 (96.7) | 1.00 | 66 (94.3) | 165 (94.8) | 1.00 |
Likely to have concerns about potential harm to mother | 23 (85.2) | 201 (91.4) | 0.29 | 111 (90.2) | 112 (91.2) | 0.82 | 62 (88.6) | 158 (90.8) | 0.64 |
Likely to have concerns about efficacy | 25 (92.6) | 196 (89.1) | 0.75 | 112 (91.1) | 111 (91.0) | 1.00 | 60 (85.7) | 158 (90.8) | 0.26 |
Likely to have concerns about cost | 13 (48.2) | 67 (30.4) | 0.08 | ||||||
Women who were not married or in a common-law relationship were significantly more likely to report they would not follow recommendations for progesterone (aOR = 5.88 [95% CIs: 1.72, 20.00]; p = 0.0049, Table 5) than women who are married or in a common-law relationship. In addition, women who preferred not to use prevention were more likely to report they would not follow recommendations for cerclage (aOR = 3.39 [95% CI: 1.93, 5.96]; p < 0.0001) or pessary (aOR = 2.99 [95% CI: 1.51, 5.92]; p = 0.002).
Table 5
Multivariate logistic regression of the likelihood of not following healthcare provider’s recommendation
Variablesa
| Progesterone | Cerclage | Pessary | |||
|---|---|---|---|---|---|---|
Multivariate Analysis OR (95% CIs) | p-valueb
| Multivariate Analysis OR (95% CIs) | p-valueb
| Multivariate Analysis OR (95% CIs) | p-valueb
| |
Pregnant Women’s Characteristics | ||||||
European or White-Caucasian ethnicity (self-reported) | 0.41 (0.17, 1.01) | 0.05 | ||||
Not married or in common-law relationship | 5.88 (1.72, 20.00) | 0.0049 | ||||
Preterm Birth Prevention Issuesc
| ||||||
Preference for no prevention | 3.39 (1.93, 5.96) | <0.0001 | 2.99 (1.51, 5.92) | 0.002 | ||
Sources of information on PTB prevention
Two hundred sixty-two women (84.5%) reported they would use other sources of information other than their main healthcare provider to help them make their decisions to use PTB prevention. The top four information sources that women reported they would use were the internet (70.9%), family and friends (55.5%), other healthcare providers (40.0%), and books or scientific literature (38.1%).
Discussion
This was the first survey to our knowledge conducted to study the preferences for and concerns about current options for preterm prevention in pregnant women. Most women reported that they preferred not to use prevention but preferred close-monitoring of their pregnancy if they were told by their healthcare provider they were at increased risk for PTB. Approximately 50.2% and 28.7% of women reported that they would not follow their healthcare provider’s recommendations for cerclage and pessary, respectively, but only 10.9% did for progesterone. These findings were surprising because we had hypothesized that pessary would be more attractive than progesterone to many women and since previous surveys have reported a high acceptance rate for PTB prevention with progesterone among women who had been identified to be at increased risk of PTB [15‐17].
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There are a few reasons which might explain why most women preferred not to use prevention if they had been told by their healthcare provider they were at increased risk of PTB. Although it may relate to the hypothetical nature of the scenario, it may also reflect respondents’ lack of understanding about the risks of preterm birth, which points to important opportunities for education. Alternatively, healthcare providers’ satisfaction with their knowledge and confidence in the quality of evidence for progesterone have been associated with its prescription [24]. Interestingly, patient characteristics do not consistently elicit its prescription, even for women visiting the same clinic [14, 24]. Other studies also reported that there is significant variation in clinical practice in progesterone for PTB prevention even amongst those working in the same clinic serving women with high-risk pregnancies [14, 16‐18]. However, two surveys found that most healthcare providers would be willing to take part in hypothetical progesterone trials to further evaluate its effects on PTB prevention [21, 29]. Taken together these studies suggest that the behaviour of healthcare providers may play an important role in women’s decision to use PTB prevention and healthcare provider’s preferences for and concerns about PTB prevention need to be studied to better understand how their thought processes may influence their clinical practice.
The reluctance to follow recommendations for preventions that are more intrusive may be due to concerns about complications. In addition, we found that women who were not married or in a common-law relationship were more likely to report that they would not follow recommendations for progesterone. Marriage may be a proxy for social support [30] and less immediate social support may impact decision making. Previous studies have reported that women who are not married were more likely to start prenatal care later and have fewer prenatal visits [31] and in turn, women who receive less prenatal care have been associated with lower self-esteem and confidence [32]. Providing additional support or resources might be particularly important to this group of women, hence suggesting reputable online information sources would likely be beneficial.
Strengths of our study include a diverse sample of women from a broad range of healthcare providers including obstetricians, midwives and family physicians. Second, the response rate of our survey of 85.2% is robust, thus reducing the potential impact of selection bias. Third, our questionnaire was piloted, which likely increased read-ability. Finally, we used previous surveys that studied the preferences and values for PTB prevention to inform the design of our questionnaire [15].
Limitations of our study include that most women were relatively well educated, therefore, our results can only be understood in this context. Women who are more educated may prefer active participation in medical decisions [33] and are less likely to rely solely on the expertise of their healthcare providers for information. Further, because women in our sample were at a median of 32 weeks of gestation, they may prefer not to use PTB prevention because they were in the third trimester, and unaware of the risks of giving birth at this point in the pregnancy. Future surveys should consider women earlier in their pregnancy. Second, most women who responded to our survey were not at increased-risk for PTB. Hypothetical scenarios represent abstractions of real-life phenomena and women who are not at increased risk for PTB may answer differently if they were actually at increased risk. However, it is also possible that because our questionnaire offers anonymity and confidentiality, women may be more likely to answer their actual preferences for PTB prevention. Previous studies have found that almost one-fifth of women using progesterone to manage risk of PTB report issues of compliance [17]. More research needs to be conducted around patient compliance with treatment.
Conclusions
Our findings have implications for women’s prenatal care. We found that most women preferred not to use PTB prevention but still preferred close-monitoring of their pregnancy if they were told by their healthcare provider they were at increased risk for PTB. A sizeable portion of women reported that they would not follow their healthcare provider’s recommendations for cerclage and pessary, respectively, hence, providing additional education to women requiring such interventions would be particularly important. Since the complications of PTB can be severe and long-lasting, it is important to provide high quality education to women about PTB and the benefits associated with PTB prevention, including through websites as 70% of women in our survey reported they would use the internet to learn more about PTB prevention. Written or online information could help supplement the education provided by healthcare providers, which is important as a previous study had reported poor recall concordance between physicians and parents on key factors like potential neonatal complications resulting from PTB [34]. Further, because of the importance of healthcare providers influence on prenatal care, there is a need to better understand the healthcare providers’ knowledge of, preferences for, and concerns about PTB prevention.
Acknowledgement
We thank the women who shared their opinions with us, the staff at the participating prenatal clinics: Dr. Aseel Hamoudi, Dr. Dustin Costescu, Dr. Ann Marie Chen, Dr. Carmela Sciarra, and the midwives at Access Midwives (represented by Tamara Youngberg, Stoney Creek, Ontario, Canada) and Dr. Mark Oremus.
Funding
VH is supported by the Canadian Institutes of Health Research (FRN#-336515), David L Sackett Scholarship, and Ashbaugh Graduate Scholarship. SDM is supported by a Tier II Canada Research Chair. None of the funding sources had any involvement in the study design, data collection, analysis, interpretation of data, writing of the report, or in the decision to submit the study findings for publication.
Availability of data and materials
The dataset generated and analysed during the current study is not publicly available because our institutional Research Ethics Board has not approved sharing of the dataset nor have we received approval from respondents to do so.
Authors’ contributions
The conception and design of the study were developed by V.H. and S.M. The collection of data was conducted by V.H. The analysis and interpretation of the data were conducted by V.H. and S.M. The article was drafted and approved for submission by V.H. and S.M.
Competing interests
The authors declare that they have no competing interests.
Consent for publication
Not Applicable.
Ethics approval and consent to participate
The Hamilton Health Sciences/McMaster University granted Research Ethics Board approved this study prior to commencement (Reference Number: 2015-0459-GRA). Consent to participate was indicated by completion and submission of the questionnaire.
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