Strategies for improving recruitment of pregnant women to clinical research: An evaluation of social media versus traditional offline methods in Vancouver, Canada (Preprint)

2021 ◽  
Author(s):  
Kelsey M Cochrane ◽  
Jennifer A Hutcheon ◽  
Crystal D Karakochuk

BACKGROUND Social media is an effective alternative to offline methods for participant recruitment to research. However, the effectiveness of social media compared with offline strategies among pregnant women is unclear. Further, it is unclear whether recruitment strategy alters demographic characteristics of participants. OBJECTIVE We aimed to estimate recruitment rates from social media and offline methods and to explore the whether participant demographics differed according to recruitment strategy in a clinical nutrition trial that recruited 60 healthy pregnant women in Vancouver, Canada. METHODS Facebook was used to run 9 social media campaigns, 10-18 days each (15-weeks total) and costing $50-$100 CAD ($675 CAD total). Offline methods were used concurrently over 64-weeks. A total of $300 CAD was spent on printing. Demographic characteristics of those recruited via each method was compared using bivariate statistics. Cost, rate of recruitment and conversion rate in each group was calculated. Performance metrics of social media campaigns, including reach, impressions, clicks, inquiries, and enrollments, were recorded. Linear regression was used to explore the association between metrics and dollars spent per campaign. RESULTS In total, n=481 inquiries were received (n=51 [11%] via offline methods; n=430 [89%] via social media). Enrollees (n=60) included n=24 (40%) and n=36 (60%) via offline and social media methods, respectively. Gestational weeks was provided by n=251 women (52%) upon inquiry (mean ± SD gestational weeks was 13.3 ± 4.7 and 13.2 ± 5.6 in the offline and social media groups, respectively, P=.96). There were no statistically significant differences in age (33 ± 3.2 and 33 ± 3.6, P=.67), ethnicity (58% and 56% Caucasian, P=.97), education (88% and 78% had University-level education, P=.64), household income (58% and 47% >$100,000 CAD/year, P=.26), pre-pregnancy BMI (22.2 ± 2.6 and 23.4 ± 2.8, P=.11), or parity (75% and 72% nulliparous, P=.81); results are presented for offline and social media, respectively. Direct cost/enrollee was $13 and $19 in those who were recruited via offline and social media methods, respectively (however, this does not include cost of labour). Rate of recruitment was ~6x faster via social media than offline methods, however, the conversion rate was higher via offline methods than social media (47% versus 8%). Overall, campaign metrics (reach, impressions, clicks, and inquiries) improved over time. Amount spent per campaign (controlling for campaign duration) was significantly associated with improved clicks (P=.01), and inquiries (P=.04), but not enrollments (P=.19). CONCLUSIONS Social media was more efficient and effective for recruitment of pregnant women than offline methods. We gained numerous insights for optimization of social media campaigns (dollars spent, attribution setting, photo testing, automatic optimization) to increase clicks and inquiries, however this does not necessarily increase enrollments, which was more dependent on study specific factors (e.g. time of year, study design, and intervention). CLINICALTRIAL ClinicalTrials.gov (identifier: NCT04022135). Registered on July-14-2019. https://clinicaltrials.gov/ct2/show/NCT04022135

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1165-1165
Author(s):  
Kelsey Cochrane ◽  
Crystal Karakochuk ◽  
Chantal Mayer ◽  
Angela Devlin ◽  
Rajavel Elango ◽  
...  

Abstract Objectives To assess the effectiveness of targeted advertising on two social media platforms (Facebook and Instagram) compared to printed posters as tools to recruit pregnant women to a clinical trial. Methods Between September 2019 and January 2020 (16 weeks), 200 posters were distributed and three 10-day online campaigns were run. Online campaigns were targeted to reach pregnant women 19–42 years in Vancouver, Canada. A total of $225 was spent on online ads and $170 on printing posters. Outcomes described for each recruitment strategy include total reach (individuals who saw the ad), total inquiries and resulting enrollments. The odds of enrollment after inquiring from each strategy was evaluated with an odds ratio (OR) and 95% confidence interval (CI). Enrollments per week were calculated by dividing enrollments per group by the time frame of each strategy. Cost per enrollment was calculated by dividing enrollments in each group by their total cost. Results A total of 104 respondents inquired about participation, of whom 22.1% (n = 23) enrolled. Social media campaigns reached 7162 women. Of women reached, 1.2% (n = 84) inquired; 13% (n = 11) of those who inquired enrolled (∼2.5 enrollments/week). The total reach of the posters is unknown, but 16 women inquired after seeing the poster and 56% (n = 9) of these women enrolled (∼0.5 enrollments/week). The remaining 3 enrollments were via word of mouth. The odds of enrollment after seeing a poster was 8.5 times higher than after seeing an online ad (OR = 8.5, 95% CI 2.24–32.4). We speculate that this was because women who took down information from a poster and later inquired were more serious about enrolling than those who could immediately respond to an online ad via an e-mail link. However, online ads were more efficient than distribution of posters, requiring less manual labour and resulting in more enrollments per week. Cost per enrollment was similar between groups (∼$20 for online ads and ∼$19 for posters). Conclusions Online advertising was more efficient and led to higher total enrollment as compared to poster recruitment, despite the fact that women were less likely to enroll after seeing an online ad as compared to a poster. Costs were relatively similar for use of both tools. Funding Sources Healthy Starts Catalyst Grant (BC Children's Hospital Research Institute, Vancouver, Canada).


Author(s):  
Alice M. Tybout ◽  
Natalie Fahey

The case explores the similarities and differences between social media campaigns launched by Nissan and by Tata Motors to stimulate sales for models of their cars in India. The Nissan campaign allowed consumers to compete to star with Ranbir Kapoor, a Bollywood star and spokesman for the Nissan Micra, in a short film featuring the Micra as the hero. The Tata campaign launched India's first social streaming show, in which select teams of consumers participated in an Amazing Race-style road trip competition in different regions of the country. Both campaigns made extensive use of Facebook. Students are tasked with evaluating the two campaigns in terms of their fit with the communication objectives of each company and their effectiveness on a variety of metrics. The case includes links to advertisements and other video material. Although the case is written to be used independently, it also would work well in combination with the “Positioning the Tata Nano (A) and (B)” cases.After analyzing the case, students will be able to: Align and design social media campaigns against a brand positioning Set clear consumer attitude or behavioral and strategic brand objectives for social media offerings Use objectives established in advance to create performance metrics for social media programs


10.2196/19234 ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. e19234
Author(s):  
Jody C Hoenink ◽  
Joreintje D Mackenbach ◽  
Laura Nynke van der Laan ◽  
Jeroen Lakerveld ◽  
Wilma Waterlander ◽  
...  

Background Virtual supermarkets offer a practical and affordable setting to test the efficacy of different pricing and nudging strategies before they are implemented in the real world. Despite the advantages of using virtual supermarkets for this purpose, conducting studies in online settings is challenging with regard to recruitment and retention of sufficient and suitable participants. Objective To describe cost, time, and retention with regard to participants recruited using various strategies and potential sociodemographic differences between participants recruited via different strategies. Methods This cross-sectional study used data from a randomized controlled trial in which 455 Dutch adults with low and high educational levels were invited to shop 5 times in a 3D virtual supermarket. Participants were recruited via social media and flyers. A log that tracked the costs of and time spent on the different recruitment strategies was kept by the study team. Outcome measures included the cost of recruitment strategies, the time investment by researchers, and recruitment and attrition rates of participants in the study. Results The median age of study completers was 31.0 (IQR 25.0) and 157 out of 346 study completers (45.4%) were highly educated. Out of the 455 included participants, 235 (51.6%) were recruited via social media campaigns, 131 (28.8%) via home-delivered flyers, 38 (8.4%) via flyers directly distributed by the study team, and 46 (10.1%) via word-of-mouth. Of all paid recruitment strategies, social media campaigns were the cheapest and least time-consuming, whereas the distribution of flyers by the study team was the most expensive and time-consuming recruitment strategy. Age, sex, overweight status, employment situation, and number of adults within the household varied by recruitment strategy. Conclusions Using different recruitment strategies resulted in the efficient recruitment of a representative study sample and retention of participants was relatively high. While “word-of-mouth” was the most cost- and time-effective recruitment strategy, using only one type of recruitment strategy could result in a demographically skewed study population.


Author(s):  
Aalap Doshi ◽  
Lisa Connally ◽  
Anita Johnson ◽  
Abbey Skrzypek

Abstract Successful social media recruitment requires specific expertise and constant upkeep, placing an inordinate burden on study teams. Over half of the study teams at the University of Michigan (U-M) surveyed about recruitment assistance needs indicated that they wanted to use social media as a recruitment strategy, but lacked the expertise to do so. We thus built a service to centralize social media recruitment across the university. This involved assembling the right expertise, creating a centralized social media profile, creating linkages to other digital recruitment platforms, building the financial structure, and operationalizing the service. So far, we have helped 94 study teams launch social media campaigns on Facebook and Instagram. These campaigns resulted in 1,653,675 users being reached, of which 20,546 users actively showed interest in participating in the corresponding studies. We followed 18 studies further, who reported a total of 345 social media participants as being enrolled, resulting in an average cost-per-contact (CPC) of $8.72 and an average cost-per-enrollee (CPE) of $55.21. The combination of communication expertise, streamlined administrative processes, and linkages to a centralized research participation registry has allowed us to help a large number of study teams seamlessly engage broad and diverse populations.


2020 ◽  
Author(s):  
Jody Chantal Hoenink ◽  
Joreintje D. Mackenbach ◽  
Nynke van der Laan ◽  
Jeroen Lakerveld ◽  
Wilma Waterlander ◽  
...  

BACKGROUND Virtual supermarkets offer a practical and affordable means to test the efficacy of different pricing and nudging strategies before they are implemented in real-world settings. Despite the advantages of using virtual supermarkets, conducting studies an online settings have the disadvantage of participants being more difficult to recruit and retain. OBJECTIVE To describe the costs, feasibility and results of several recruitment strategies and participants’ appreciation and usability of the Supreme Nudge Virtual Supermarket (SN VirtuMart). METHODS This cross sectional study used data from a randomized controlled trial where 455 Dutch adults with low or high educational level were asked to conduct five shops within a three-dimensional virtual supermarket. The SN VirtuMart, developed in 2018, resembled a Dutch supermarket containing almost 1200 unique food and beverage products. Participants were asked to conduct five shops in the SN VirtuMart and complete questionnaires on demographics, food purchasing habits and feedback on the SN VirtuMart. A log to track the costs of the different recruitment strategies was kept by the study team. Outcome measures included the cost of recruitment strategies, recruitment and attrition rates, and appreciation and usability of the SN VirtuMart. RESULTS In total, 346 participants completed the study (completion rate: 74%). The median age was 31.0 (IQR: 25.0) and 45.4% were highly educated. N=235 (52%) were recruited via social media campaigns, N=131 (29%) via home-delivered flyers, N=38 (8%) via flyers received from the study team and N=46 (10%) via word-of-mouth. Out of all paid recruitment strategies, social media campaigns were the cheapest and flyers received from the study team was the most expensive recruitment strategy. Participant demographics varied by recruitment strategy. Most participants found the SN VirtuMart easy to use (90.8%) and found that their purchases resembled those made in real life (78.2%). CONCLUSIONS Using different recruitment strategies resulted in an efficient recruitment of a representative study sample and retention of participants was relatively high. The SN VirtuMart was generally appreciated by the participants. It thus seems feasible to use the SN VirtuMart to test the efficacy of different pricing and nudging strategies before they are implemented in real-world settings. CLINICALTRIAL The trial conducted in the SN VirtuMart was registered in the Dutch trial registry (www.trialregister.nl) under report number NTR7293.


Author(s):  
Andrew Atia ◽  
Hannah C. Langdell ◽  
Andrew Hollins ◽  
Ronnie L. Shammas ◽  
Adam Glener ◽  
...  

Abstract Background Microsurgery fellowship applicants make decisions for future training based on information obtained from colleagues, mentors, and microsurgery fellowship program Websites (MFWs). In this study, we sought to evaluate the accessibility and quality of available information by microsurgery programs by analyzing the most commonly used web resources and social media outlets for applicants. Methods The San Francisco (SF) Match and American Society of Reconstructive Microsurgery Websites were queried in April 2020 for microsurgery fellowship programs (MFPs) participating in the SF Match. Twenty-two independent variables of information were assessed on MFWs based on previously published data. Social media presence was also assessed by querying Facebook, Instagram, and Twitter for official hospital, plastic surgery residency, and microsurgery fellowship accounts. Results All 24 MFWs participating in the SF Match had a webpage. Program description, faculty listing, operative volume, and eligibility requirements were listed for all programs (100%). The majority of MFWs listed affiliated hospitals (75%), provided a link to the fellowship application (66.7%), listed interview dates (66.7%), and highlighted research interests (50%). A minority of MFWs provided information on conference schedule (37.5%), current fellow listing (25%), previous fellow listing (16.67%), and positions held by previous fellows (8.33%). No MFWs (0%) presented information on selection process, or rotation schedule.All hospitals with an MFP had a Facebook page and nearly all had Instagram (83.3%) and Twitter accounts (95.8%). Plastic surgery residency programs at the same institution of an MFP had social media presence on Facebook (38.9%), Twitter (38.9%), and Instagram (66.7%). Only three MFPs had Facebook accounts (12.5%) and none had Instagram or Twitter accounts. Conclusion As the field of microsurgery continues to grow, the need for effective recruitment and training of microsurgeons continues to be essential. Overall, we conclude that both the accessibility and quality of information available to applicants are limited, which is a missed opportunity for recruitment.


2019 ◽  
Author(s):  
Leila Ahmadian ◽  
Reza Khajouei ◽  
Sudabeh Kamali ◽  
Moghaddameh Mirzaee ◽  
Arefeh Ameri

BACKGROUND Today, the Internet may be a promising tool for interventions for pregnant women. However, these kinds of tools are only helpful if users are ready to use them. OBJECTIVE The present study was conducted with the aim of readiness assessment of pregnant women to use the Internet to access health information about pregnancy and childbirth. METHODS This study was carried out on a sample of 384 pregnant women. Data were collected using a valid and reliable questionnaire. The first section of this questionnaire collected demographic characteristics of the participants. The second part of the questionnaire contains 27 questions covering the following components: infrastructure readiness (6 questions); affordability readiness (3 questions); and skill readiness (12 questions). Data were analyzed with SPSS 19.0 using descriptive statistics, Chi-square test, and T-test. RESULTS This study was carried out on a sample of 384 pregnant women. Data were collected using a valid and reliable questionnaire. The first section of this questionnaire collected demographic characteristics of the participants. The second part of the questionnaire contains 27 questions covering the following components: infrastructure readiness (6 questions); affordability readiness (3 questions); and skill readiness (12 questions). Data were analyzed with SPSS 19.0 using descriptive statistics, Chi-square test, and T-test. CONCLUSIONS The use of the Internet by pregnant women depends on factors such as infrastructure, affordability, and skills readiness. This study showed that speed and the quality of the Internet, hardware and software availability, affordability of the Internet, and access to the Internet training were factors in measuring E-health readiness assessment. CLINICALTRIAL Not applicable


2021 ◽  
Vol 11 (8) ◽  
pp. 108
Author(s):  
Idoia Rúa Hidalgo ◽  
Maria Galmes-Cerezo ◽  
Carmen Cristofol-Rodríguez ◽  
Irene Aliagas

The ability of GIFs to generate emotionality in social media marketing strategies is analyzed. The aim of this work is to show how neuroscience research techniques can be integrated into the analysis of emotions, improving the results and helping to guide actions in social networks. This research is structured in two phases: an experimental study using automated biometric analysis (facial coding, GSR and eye tracking) and an analysis of declared feelings in the comments of Instagram users. Explicit valence, type of emotion, length of comment and proportion of emojis are extracted. The results indicate that the explicit measure of emotional valence shows a higher and more positive emotional level than the implicit one. This difference is influenced differently by the engagement and the proportion of emojis in the comment. A further step has been taken in the measurement of user emotionality in social media campaigns, including not only content analysis, but also providing new insights thanks to neuromarketing.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rebecca Smith ◽  
Crystal Alvarez ◽  
Sylvia Crixell ◽  
Michelle A. Lane

Abstract Background It is well known that recruitment is a challenging aspect of any study involving human subjects. This challenge is exacerbated when the population sought is reticent to participate in research as is the case with pregnant women and individuals with depression. This paper compares recruitment methods used for the Food, Feelings, and Family Study, an observational, longitudinal pilot study concerning how diet and bisphenol A exposure affect maternal mood and cognitive function during and after pregnancy. Methods Pregnant women were recruited to this study over a period of 15 months using traditional methods, social media including paid and unpaid posts, and emails broadcast to the university community. Contingency analysis using the Pearson’s Chi-square test was used to determine if recruitment method was associated with likelihood of participation. T-tests were used to analyze Facebook advertisement success. ANOVAs and Fisher exact tests were used to determine if recruitment method was related to continuous and categorical demographics, respectively. Results Social media resulted in the largest number of recruits, followed by traditional methods and broadcast email. Women recruited through social media were less likely to participate. In contrast, use of broadcast email resulted in a smaller pool of recruits but these recruits were more likely to be eligible for and complete the study. Most women recruited via social media were the result of unpaid posts to the study’s Facebook page. Paid posts lasting at least 4 days were the most successful. Recruitment method was not associated with participant demographics. Conclusions Social media has the potential to recruit a large pool of potential subjects; however, when studies require a large time investment such as the case here, women recruited through social media are less likely to participate and complete the study than women recruited through other means. Trial registration N/A. This study does not describe a health care intervention.


2021 ◽  
Vol 28 (1) ◽  
pp. e100262
Author(s):  
Mustafa Khanbhai ◽  
Patrick Anyadi ◽  
Joshua Symons ◽  
Kelsey Flott ◽  
Ara Darzi ◽  
...  

ObjectivesUnstructured free-text patient feedback contains rich information, and analysing these data manually would require a lot of personnel resources which are not available in most healthcare organisations.To undertake a systematic review of the literature on the use of natural language processing (NLP) and machine learning (ML) to process and analyse free-text patient experience data.MethodsDatabases were systematically searched to identify articles published between January 2000 and December 2019 examining NLP to analyse free-text patient feedback. Due to the heterogeneous nature of the studies, a narrative synthesis was deemed most appropriate. Data related to the study purpose, corpus, methodology, performance metrics and indicators of quality were recorded.ResultsNineteen articles were included. The majority (80%) of studies applied language analysis techniques on patient feedback from social media sites (unsolicited) followed by structured surveys (solicited). Supervised learning was frequently used (n=9), followed by unsupervised (n=6) and semisupervised (n=3). Comments extracted from social media were analysed using an unsupervised approach, and free-text comments held within structured surveys were analysed using a supervised approach. Reported performance metrics included the precision, recall and F-measure, with support vector machine and Naïve Bayes being the best performing ML classifiers.ConclusionNLP and ML have emerged as an important tool for processing unstructured free text. Both supervised and unsupervised approaches have their role depending on the data source. With the advancement of data analysis tools, these techniques may be useful to healthcare organisations to generate insight from the volumes of unstructured free-text data.


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