- Research note
- Open Access
Altruistic donation to improve survey responses: a global randomized trial
BMC Research Notes volume 12, Article number: 113 (2019)
Web-based platforms have revolutionized the ability for researchers to perform global survey research. Methods to incentivize participation have been singularly focused on European and North American participants with varied results. With an ever increasing proportion of biomedical research being performed in non-western countries, assessment of novel methods to improve global survey response is timely and necessary. To that end, we created a three-arm nested randomized control trial (RCT) within a prospective cohort study to assess the impact of incentives on survey responsiveness in a global audience of biomedical researchers.
Email invitations were sent to authors and editors involved in online publishing totaling 2426 participants from 111 countries. Overall we observed a 13.0% response rate: 13.3% for the control group, 14.4% for a group entered to win a gift card, and 11.1% for a group whose participation lead to donation to charity (p = 0.17). Year of publication nor country impacted response rate. Within subgroups, editors were significantly less likely to respond to the survey as compared to authors (6.5% vs. 18.9%; p-value < 0.01). With power to detect a 4.8% difference among groups, we could not detect an impact of incentives on global survey response.
Achieving adequate survey response has become increasingly challenging as surveys compete for subjects’ time and attention . While post-cards and phone reminders have been a staple of survey-based research for decades, [2, 3] the integration of web-based platforms has changed the paradigm. Studies recruiting health-care personnel have often been a target for such research studies with mixed responsiveness . Varied trials evaluating the impact of incentives on survey responsiveness have exclusively focused on European and North American respondents with a wide range of results [5,6,7].
Published research has been growing at an estimated annual global rate of 9–11% per year, with studies from non-western countries likely driving this growth [8, 9]. Countries such as China, India, Singapore and South Korea devote relatively large percentages of their gross domestic product to funding research endeavors or higher education . Despite the contributions of the international community to the worldwide body of knowledge, data regarding international response rates for surveys remains scarce. The methodologies that produce reasonable response rates in Europe and United States may not be as effective in a broader, international cohort due to distinct perceptions and motivations in behavior that are culturally specific [11, 12]. Such prior efforts to motivate response in western countries include: offering a cup of coffee or small monetary incentives of $0–10 [7, 11, 12].
The importance of cultural variables in this context is unknown. From a neurocognitive perspective, some motivation may be inherent such as personal gain or participation in altruism . To that end, we created a nested randomized control trial (RCT) within a prospective cohort study to assess the impact of incentives on survey responsiveness in a global audience of biomedical researchers. We hypothesized that altruism (via a donation to an international charity) as well as personal financial gain would improve international survey responsiveness, despite cultural differences.
The RCT was nested within a cohort study investigating open access journal publishing practices, as such it qualified as a Studies Within A Trial (SWAT) . As part of the original study, we identified a cohort of biomedical researchers with available contact information, baseline English fluency, internet access, and assumption of professional degrees (given publication of scholarly work). The nested RCT study population was generated by randomly selecting editors and authors from a list of open access biomedical journals with predominantly online publishers.
The parent study sought to understand author and editor attitudes regarding predatory publishing. Using a well-known list of potential predatory journals we randomly selected 350 publishers and their associated 2204 biomedical journals . Journals were cross referenced with the Directory of Open Access, Open Access Scholarly Publishers Association and U.S. National Library of Medicine to eliminate mainstream open access publishers [16,17,18] 1359 biomedical journal articles ultimately met inclusion criteria. Authors’ journals met Medline criteria for biochemical research: “[Journals] predominantly devoted to reporting original investigations in the biomedical and health sciences, including research in the basic sciences; clinical trials of therapeutic agents; effectiveness of diagnostic or therapeutic techniques; or studies relating to the behavioral, epidemiological, or educational aspects of medicine” . A summary of the trial structure can be found in Fig. 1. Subjects without publicly available contact information and non-English language journals were excluded. Once journals were identified, a single article from each journal was selected. The corresponding author and editor email addresses, year of publication (in the case of articles), and country of origin were recorded for that article.
A priori we planned for three groups: no incentive (control), altruistic donation, and financial incentive. Sample size calculations dictated 686 potential participants per group were required to detect an effect of a 5% difference in response rate with a Type I error rate of 5% and 80% power. Ultimately, we obtained 2426 email addresses allowing for 808 per group with the expectation that 7.5% of emails addresses would be inactive. Post-hoc power calculations based on the final number of working email addresses suggested we were powered to detect a 4.8% difference between groups.
The groups were designed as follows: (A) no incentive for participation to serve as the control group, (B) a $100 (or local currency equivalent) gift card for participation, and (C) a $2.50 altruistic donation to rotary club (https://www.rotary.org/) on behalf of the participant. Rotary International is a non-denominational international charity with 35,000 worldwide clubs that have been instrumental in multiple projects including the fight to eradicate Polio. All subjects were randomized using a random number generator in Stata (CollegeStation, Texas) and their corresponding email addresses were distributed into each group (Fig. 1).
An automated survey invitation was sent to each email stating the incentive, as such participants were not blind. However, subjects were unaware there were different incentives for other invitees. Each email invitation was personalized with the individual’s name in an automated fashion to increase the likelihood of individuals reading the email and completing the survey. Authors were blinded to group assignments while surveys were administered. A response was defined as complete or incomplete. Data analysis took place in a blinded fashion based on three groups of unknown incentives. Once data collection and data analysis was complete, authors were unblinded to allow for distribution of incentives and final formulation of the manuscript. All data was anonymized, and stored in REDCap with 1 automated reminder sent to non-responders 10 days after the initial survey was sent. Study data were collected and managed using REDCap electronic data capture tools hosted at UCSF .
Summary statistics were used to describe the cohort. Means and standard deviations were used for continuous variables. Frequency tables were used for categorical variables. Chi squared statistic was used to compare frequencies between groups. Developed nation status was based on World Bank listing for high-income countries . Statistics were calculated using Stata 15. Institutional Review Board of the University of California-San Francisco reviewed and approved the study (IRB # 18-25351).
Overall, 2426 email addresses from 111 countries were collected. 199 (8%) of email contact information resulted in a return to sender response, leaving a final 2227 perspective participants. After the initial survey was disseminated, 7.6% of individuals responded to the survey invitation and this increased to 13.0% after reminders were sent. The majority of potential respondents had published research within the last 2 years: 59.7% in 2018 and 17.7% from 2017. Response rates amongst the groups were: 13.3% for the control group, 14.4% for the gift card group, and 11.1% for the altruistic group (p = 0.17) (Table 1). When examining country of origin, India, the United States, and China were most represented but global participation was noted (Fig. 2). Based on unsolicited email replies to the survey invitation from potential respondents, 38 (1.7%) participants could not access the survey electronically from Nigeria or Cuba. It is unknown if similar difficulties limited responses in other countries.
The differences in survey response for those offered a gift card for participation vs. control 1.1% (p = 0.55) nor those participating in donation vs. control 2.2% (p = 0.20) were significant. Likewise, there were no differences in the response rate by country (p = 0.49). The year of publication for the articles from which emails were derived also did not impact response rate (p = 0.52).
The parent study was designed to assess differences between authors and editors; hence subgroup analysis of response by occupation was performed. Editors accounted for 47.7% of invited survey participants. Editor response rates was significantly lower than those for authors (6.5% vs. 18.9%; p-value < 0.01). There was a lower response rate among authors and editors from high-income countries; accounting for 35% and 42% of the cohort respectively. There was no significant difference in responses based on incentive group among authors (p = 0.55) and editors (p = 0.36).
To our knowledge, this is the first study to assess a donation on behalf of the participant to motivate global survey response. Given increased level of education may be correlated with greater altruism and altruism may be a universal motivator, we hypothesized international biomedical researchers and editors with high levels of education would be particularly sensitive to this approach . Ultimately, the single most influential factor in our study was not altruism, but a reminder email, which increased our response by 41%. Overall, our response rate was 13% with no measurable impact from our intervention . Previous work using altruism as motivation is rare: a donation to a charity germane to nephrologists’ clinical practice did not alter survey response in a small trial in Canada .
Prior work has been mixed as to whether financial motivations impact survey response and what monetary amount is most effective. The financial incentive equivalent to a cup of coffee, did not influence survey response rates in a trial of 472 patients . Given the wide range in global coffee consumption and eating habits, specific food or beverage incentives are unlikely to strike a chord globally . In other work, incentive amounts ranging from 0 to $10, did not dramatically alter survey responsiveness among physicians. On the other hand, 66 subject matter experts agreed small financial incentives may improve survey responses in randomized control trials . Interestingly, the timing of incentive delivery may be important, a pre-survey $50 dollar incentive improved physician survey response in recent work . A review by Pit et al. recently suggested monetary and nonmonetary incentives were more effective than no incentive (with upfront large monetary incentives most effective) . Despite our digital age, postal surveys also fare better . Given a lack of high quality randomized data, it is hard to definitively conclude if incentives are better than no incentives; hence the motivation for our study.
Our target audience was highly global with potential responders in 111 countries adding complexity to at first glance a simple survey request. Local culture, currency, and language may impact study participant behavior in unforeseen ways . While translating surveys into a local dialect or using a single language are options for the researcher, survey adaptation or cross-cultural validation may be necessary for scientific vigor and to improve responses [28, 29]. Survey respondents from certain countries could not even access our electronic survey. Which countries were affected remained unknown, but an email confirmed at least respondents in Nigeria and Cuba could not access the survey link perhaps due to internet censorship in those locations . Novel survey distribution via smart devices  or gamification of surveys may provide innovative methods to improve survey responses  but research is lacking on these novel methods. In particular how these methods will be viewed through a cross-cultural lens is largely unknown.
Survey research emanating from the United States targeting global participation incurs unique cultural, technological, and financial challenges. Altruistic donation nor personal financial gain seem to motivate a global audience of biomedical researchers to respond. The best strategy to optimize global participation in electronic survey remains unknown. Until a universal incentive is discovered, cross-cultural validation and locality-specific incentives should be considered in future trials to improve responses in global research.
While potential targets had published a manuscript in English, this may not have been their first language and confusion regarding our study may have reduced participation. In selecting our charity, the authors did our best to select one with global, non-political focus; nonetheless, the charity may not be familiar or a worthy cause to all potential participants. Our donation and monetary reimbursement amounts were limited by budget, but certainly different or increased amounts may motivate individuals differently. Incentives were described in US dollars, given exchange rates, these amounts could be interpreted quite differently depending on the respondents’ country of origin. We suspect that these limitations would be distributed non-differentially across our randomized groups and therefore not ultimately effect the results. Our potential respondents were quite heterogeneous in terms of research and career focus, internet access, and country. Given limited data regarding non-respondents, we were unable to perform valid logistic regression to assess predictors of positive survey response. Overall low survey response may be explained by survey fatigue, lack of interest in topic, or characterization of our email invitation as spam. The parent trial sought authors and editors involved with predatory publishing, who may not be forthcoming in participating in survey research.
Mindell JS, et al. Sample selection, recruitment and participation rates in health examination surveys in Europe—experience from seven national surveys. BMC Med Res Methodol. 2015;15:78.
Roberts H, Pearson JC, Dengler R. Impact of a postcard versus a questionnaire as a first reminder in a postal lifestyle survey. J Epidemiol Community Health. 1993;47(4):334–5.
Silva MS, Smith WT, Bammer G. Telephone reminders are a cost effective way to improve responses in postal health surveys. J Epidemiol Community Health. 2002;56(2):115–8.
Pit SW, Vo T, Pyakurel S. The effectiveness of recruitment strategies on general practitioner’s survey response rates—a systematic review. BMC Med Res Methodol. 2014;14:76.
Cook DA, Wittich CM, Daniels WL, West CP, Harris AM, Beebe TJ. Incentive and reminder strategies to improve response rate for internet-based physician surveys: a randomized experiment. J Med Internet Res. 2016;18(9):e244.
Ulrich CM, Danis M, Koziol D, Garrett-Mayer E, Hubbard R, Grady C. Does it pay to pay? A randomized trial of prepaid financial incentives and lottery incentives in surveys of nonphysician healthcare professionals. Nurs Res. 2005;54(3):178–83.
Pieper D, Kotte N, Ober P. The effect of a voucher incentive on a survey response rate in the clinical setting: a quasi-randomized controlled trial. BMC Med Res Methodol. 2018;18(1):86.
Bornmann L, Mutz R. Growth rates of modern science: a bibliometric analysis based on the number of publications and cited references: growth rates of modern science: a bibliometric analysis based on the number of publications and cited references. J Assoc Inform Sci Technol. 2015;66(11):2215–22.
Marginson S. Iran, China lead rapid growth in Asia’s research. London: University World News; 2016.
Schneegans S. UNESCO science report. UNESCO; 2015.
Garczynski AM, Waldrop JS, Rupprecht EA, Grawitch MJ. Differentiation between work and nonwork self-aspects as a predictor of presenteeism and engagement: cross-cultural differences. J Occup Health Psychol. 2013;18(4):417–29.
Noel H, Huang AR. The effect of varying incentive amounts on physician survey response. Eval Health Prof. 2018. p. 163278718809844.
Vassena E, Deraeve J, Alexander WH. Predicting motivation: computational models of PFC can explain neural coding of motivation and effort-based decision-making in health and disease. J Cognit Neurosci. 2017;29(10):1633–45.
Treweek S, et al. Trial forge guidance 1: what is a study within a trial (SWAT)? Trials. 2018;19(1):139.
Bealls J. Bealls list of predatory journals and publishers. 2018.
Directory of Open Access Journals. 2018.
Redhead C. OASPA. Open Access Scholarly Publishers Association.
U.S. National Library of Medicine. Pubmed. National Center for Biotechnology Information.
LSTRC Scientific Review Administrator. Fact Sheet MEDLINE® Journal Selection. US National Library of Medicine. NIH.
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377–81.
World Bank Group. World Bank Country and Lending Groups. 2019.
Denny K. The effects of human capital on social capital: a cross-country analysis. Working paper series. 2003.
Nesrallah G, Barnieh L, Manns B, Clase C, Mendelssohn D, Guyatt G. A charitable donation incentive did not increase physician survey response rates in a randomized trial. J Clin Epidemiol. 2014;67(4):482–3.
Smith O. Mapped: the countries that drink the most coffee. The Telegraph. 2017.
Brueton V, Stenning SP, Stevenson F, Tierney J, Rait G. Best practice guidance for the use of strategies to improve retention in randomized trials developed from two consensus workshops. J Clin Epidemiol. 2017;88:122–32.
Chen JS, et al. Take the money and run? Redemption of a gift card incentive in a clinician survey. BMC Med Res Methodol. 2016;16:25.
Akkermans D, Harzing A-W, van Witteloostuijn A. Cultural accommodation and language priming: competitive versus cooperative behavior in a prisoner’s dilemma game. Manag Int Rev. 2010;50(5):559–83.
Epstein J, Santo RM, Guillemin F. A review of guidelines for cross-cultural adaptation of questionnaires could not bring out a consensus. J Clin Epidemiol. 2015;68(4):435–41.
Lee J, Jung DY. Measurement issues across different cultures. Taehan Kanho Hakhoe Chi. 2006;36(8):1295–300.
Vareba AL, Nwinaene V-P, Theophilus SB, Ken Saro-Wiwa Polytechnic B (2017) Internet censorship and freedom of expression in Nigeria. Int J Media Journal Mass Commun (IJMJMC) 3(2):25–30. https://doi.org/10.20431/2454-9479.0302004
Belisario JS, Jamsek J, Huckvale K, O’Donoghue J, Morrison CP, Car J. Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods. Cochrane Database Syst Rev. 2015;7:MR000042.
Cechanowicz J, Gutwin C, Brownell B, Goodfellow L. Effects of gamification on participation and data quality in a real-world market research domain. In: Proceedings of the first international conference on gameful design, research, and applications—gamification’13, Toronto, Ontario, Canada. 2013. p. 58–65.
BB and AC conceived and conceptualized the study, coordinated the data collection activity, carried out the statistical analysis and wrote the initial draft of the manuscript. SW, CB, PK, GP, AT, JM, MM and AC collected the raw data including contact information for potential survey respondents. They also iteratively developed the survey tool and participated in the design of the study, as well as reviewed the manuscript. PK specifically assisted with methodology development. SW was instrumental in editing the initial drafts. GP also assisted with graphic design and additional editing. AC and GP coordinated the RedCap database housing the data and created the survey invitations. BB provided mentorship and leadership for the project. All authors read and approved the final manuscript.
Kelly Johnson provided invaluable assistance in supporting this research. Anthony Enriquez is recognized for his tireless efforts in assisting with IRB approval.
The authors declare that they have no competing interests.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Consent for publication
Ethics approval and consent to participate
Informed consent was obtained electronically from participants when they elected to respond to the survey. Ethical clearance was granted by IRB board of University of California, San Francisco (# 18-25351).
The Alafi fund was utilized to support this work. The funding body or those associated had no role whatsoever in the design of the study, collection, analysis interpretation of data or the writing of the manuscript.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Cohen, A.J., Washington, S., Butler, C. et al. Altruistic donation to improve survey responses: a global randomized trial. BMC Res Notes 12, 113 (2019) doi:10.1186/s13104-019-4146-y
- Survey response
- Nested randomized control