Skip to main content

Optimising informed consent for participants in a randomised controlled trial in rural Uganda: a comparative prospective cohort mixed-methods study



Poor participant understanding of research information can be a problem in community interventional studies with rural African women, whose levels of illiteracy are high. This study aimed to improve the informed consent process for women living in rural eastern Uganda. We assessed the impact of alternative consent models on participants’ understanding of clinical trial information and their contribution to the informed consent process in rural Uganda.


The study applied a parallel mixed-methods design for a prospective comparative cohort, nested within a pilot study on the community distribution of an alcohol-based hand rub to prevent neonatal sepsis (BabyGel pilot trial). Women of at least 34 weeks’ pregnancy, suitable for inclusion in the BabyGel pilot trial, were recruited into this study from their homes in 13 villages in Mbale District. As part of the informed consent process, information about the trial was presented using one of three consent methods: standard researcher-read information, a slide show using illustrated text on a flip chart or a video showing the patient information being read as if by a newsreader in either English or the local language. In addition, all women received the patient information sheet in their preferred language. Each information-giving method was used in recruitment for 1 week. Two days after recruitment, women’s understanding of the clinical trial was evaluated using the modified Quality of Informed Consent (QuIC) tool. They were also shown the other two methods and their preference assessed using a 5-point Likert scale. Semi-structured interviews were administered to each participant. The interviews were audio-recorded, transcribed and translated verbatim, and thematically analysed.


A total of 30 pregnant women in their homes participated in this study. Their recall of the trial information within the planned 48 h was assessed for the majority (90%, 27/30). For all three consent models, women demonstrated a high understanding of the study. There was no statistically significant difference between the slide-show message (mean 4.7; standard deviation, SD 0.47; range 4–5), video message (mean 4.9; SD 0.33; range 4–5) and standard method (mean 4.5; SD 0.53; range 4–5; all one-way ANOVA, p = 0.190). The slide-show message resulted in the most objective understanding of question items with the highest average QuIC score of 100 points. For women who had been recruited using any of the three models, the slide show was the most popular method, with a mean score for all items of not less than 4.2 (mean 4.8; SD 0.6; range 4–5). Most women (63%, 19/30) preferred the slide-show message, compared with 17% (5/30) and 20% (6/30) for the standard and video messages, respectively. The reasons given included the benefits of having pictures to aid understanding and the logical progression of the information.


Our results from this small study suggest that slide-show messages may be an effective and popular alternative way of presenting trial information to women in rural Uganda, many of whom have little or no literacy.

Trial registration

ISRCTN, ISRCTN67852437. Registered on 18 March 2018.

Peer Review reports


Informed consent as an ethical requirement is emphasised in the conduct of research, both locally [1] and internationally [2]. Guidelines state that special attention should be given to the specific information needs of individual potential subjects as well as to the methods used to deliver the research information [2]. However, previous studies have demonstrated poor participant understanding of the research information [3,4,5]. In Africa, a review indicated that up to 79.9% of trial participants did not understand some key domains of the informed consent [6]. This is partly because of the increasingly lengthy and complex informed consent forms [7], which may make them difficult to comprehend, the process of disclosure of trial information to potential participants and the limited health literacy among the African population [8]. This is exacerbated by the known low levels of education and literacy, and that the information is not in the participant’s primary language, all of which are associated with poor comprehension of the informed consent process.

There have been calls for research into innovative ways to improve the informed consent process [4, 5, 9,10,11]. Improving participants’ understanding of research information is crucial and may be achieved by exploring new or familiar approaches that promote understanding and ultimately lead to informed consent, even in this vulnerable population. Alternatives recommended for improving the informed consent process include simplifying the written information, adding illustrations and altering the layout to highlight important points [12,13,14]. Other studies have used additional detailed oral or written information and computer-based enhancement of information provision, like audio-visual presentations [15].

Audio-visual presentations of informed consent appear to improve participant satisfaction with the consent information provided [16]. Although its value as a tool to enhance the informed consent process remains unclear [9], it has been found to improve immediate recall of informed consent information [17]. Nevertheless, all these studies were conducted in high-income countries. The effectiveness of audio-visual interventions adhering to Consolidated Standards of Reporting Trials (CONSORT), has not been conducted in underserved populations in low- and middle-income countries or with people with low literacy.

In this study, we developed audio-visual presentations of the participant information to improve the informed consent process for women of low or no literacy in a low-income setting in rural eastern Uganda. We evaluated whether a video or illustrative slide show improved the participants’ understanding of the study information compared to the standard researcher-read consent process.


Study design

The study applied a parallel mixed-methods design for a prospective comparative cohort, nested within the BabyGel pilot cluster randomised trial.

Study setting

The study setting was that of the BabyGel pilot trial (reported elsewhere), i.e. homes of pregnant women from villages in Mbale District in rural eastern Uganda. The district has 912 villages, each village had approximately 130 households and about five people lived in each household, 56% of whom are women of reproductive age, as documented in the Mbale District health office records. In this study area, only 6% of women aged 15–49 years had completed education at secondary level or higher, compared to the national average of 33%. Literacy was less than 68% [18].

Selection of villages

We considered all BabyGel pilot trial villages in which there was ongoing recruitment of pregnant women within the strict 8 weeks’ recruitment period of the BabyGel pilot trial. However, this particular study was introduced in the sixth week and we included only six BabyGel trial villages. We recruited participants before the end of the eighth week. To attain the required sample size for this study, we included seven more villages that were neighbouring the BabyGel pilot trial villages. These non-trial villages were purposively selected based on the availability of pregnant women meeting the original inclusion criteria for the BabyGel pilot trial.

Study population

Participants included eligible pregnant women prior to recruitment into the BabyGel pilot cluster randomised trial. As in the pilot trial, the confirmed pregnant women had a gestation of 34 weeks or more and were able to speak or understand English or Lumasaba (the local language). We excluded women who had already been recruited into the pilot trial before this nested study.

Recruitment of participants

We recruited a total of 30 pregnant women in their homes from 13 villages in the last 3 weeks of BabyGel pilot trial recruitment (Fig. 1). Most of the women (70%, 21/30) were recruited from BabyGel pilot trial villages, comprising 20% (21/103) of the BabyGel recruits. The other nine women were recruited from non-trial villages.

Fig. 1

Trial poster showing informed consent information. a Presenting the informed consent information. b Researcher-read participant information sheet. c Slide-show message. d Screenshot of the video message

The research midwife visited homes in each village with the aid of the village health team member/worker (VHW) and screened women for eligibility into the BabyGel pilot trial. The 30 recruited women gave initial signed informed consent (on a standard one-page information consent form) for participation both in the BabyGel pilot trial and to undergo a specific form of consent for the BabyGel pilot trial. These women were told during the informed consent process that they would be followed up 48 h (or 2 days) later to test their comprehension of the informed consent information and to identify their preference.

The three different consent models were administered to eligible pregnant women systematically over the last 3 weeks of recruitment into the BabyGel pilot cluster randomised trial. In each week, before receiving informed consent for entering the trial, study information was presented to each woman according to that week’s consent model. In the first week, the standard researcher-read participant information sheet was used, followed by a slide-show message in the second week and a video message in the last week. as illustrated in Fig. 2a. The standard researcher-read consent method was used to recruit the rest of the participants into the BabyGel pilot trial before the start of the consent nested study.

Fig. 2

Participant flow in the consent study nested within the BabyGel pilot cluster randomised trial (across 3 weeks). This shows the number of women screened, those eligible and ineligible, the number of women followed up and the number analysed or excluded from the analysis

Each participant could ask questions or discuss issues at any point during the information presentation, which the research assistant responded to. At the end, a copy of the participant information sheet was given to each woman. Those women who agreed to participate in the trial completed a consent form with a signature or thumbprint and also signed by an impartial witness.

Researcher-read consent

This is the standard consent model commonly used to provide information to the BabyGel study participants. The research assistants read the study information from the ethically approved participant information sheet (Additional file 1) to each participant in either English or Lumasaba (Fig. 2b).

Slide-show message consent

In the second week, instead of research assistants reading out the participant information sheet as in week 1, they presented the study information to each participant orally using the approved 21 slides (Additional file 2) presented on a flip chart (in the style of an A4 ring-bound calendar) with text in bullet points and pictorial illustrations (Fig. 2c). The slide show was in either English or Lumasaba according to the participant’s preference. During the presentation, the participant concurrently read the pre-specified text and watched the pictorials on the reverse of the flip chart. After the presentation, the woman was allowed to see certain slides again if she wished.

Video-message consent

In the third week, the research assistant showed the approved study video (Additional file 3) to the eligible women with or without her family members present. The woman watched the video in either English or Lumasaba on a 5-in touchscreen Samsung S4 smartphone as presented by the researchers (Fig. 2d). At the end of the video, the woman was allowed to watch it again if she wished.

Information consent models

The participant information sheets, the slides in the flip charts and the videos were developed in a rigorous systematic stepwise process (Additional file 4). The lead investigator trained the research assistants on the presentation of the three consent methods using role playing, peer reviews and critiques before participants were enrolled using any of the methods.

Data collection

Three research assistants (a research midwife and two qualitative researchers) visited each woman in her home 48 h after giving informed consent. Qualitative and quantitative were data collected using Open-Data Collection Kit (ODK) forms installed on Samsung smartphones. These were synced over a wireless internet connection to the online database on the University of Liverpool’s server once the research team returned each evening to the research office in the Sanyu Africa Research Institute.

Quantitative data collection

The primary outcome was understanding and recalling information about the BabyGel pilot trial 48 h after being recruited. Data were collected electronically into the modified version of the Quality of Informed Consent (QuIC) case report form on the ODK system operated smartphones (Additional file 5). The form or data tool was designed to measure objective and subjective comprehension of the study information [5]. The research midwife administered the questionnaire face to face. At the start of the evaluation, the woman was instructed to respond to each question or rank her understanding of something as best as she could without consulting the participant information sheet. Correct and incorrect answers were assigned a QuIC score of 100 points and 0 points, respectively [5], and the answers were entered into the ODK electronic data capture system on the smartphone.

After answering questions on comprehension, the woman was shown the other two consent models, which were not used at the time of her recruitment. It was explained to the participant what the two alternative consent models entailed and she was not necessarily taken through the informed consent process again. Each woman was asked to rank the consent models in terms of preference on a 5-point scale of 1 (“I don’t like it all”) to 5 (“I like this most”). Lastly, the final item asked the participant to state her preferred model, giving reasons for her choice. The quantitative data were entered directly into the ODK form on the smartphone.

Qualitative data collection

Through semi-structured interviews, two qualitative researchers (MRN and JK) explored aspects of the comprehension of the informed consent messages and the preferences relating to the informed consent process [19]. All responses were audio-recorded and the qualitative researchers entered notes directly into the ODK software on the smartphone.

Data analysis

All analyses of quantitative variables were conducted using StatsDirect 3 to generate descriptive statistics. Statistical significance was set at the conventional 5% level.

Audio-recorded responses were transcribed and translated verbatim by the study’s main qualitative researcher (MRN). The transcripts were analysed using the inductive thematic approach to qualitative analysis, by describing and analysing patterns within the data [20]. The qualitative researchers (MRN and JK) familiarised themselves with the data by repeatedly reading the transcripts before coding them in detail to ensure all relevant codes were included in the initial pool of codes. The pool of codes was arranged into potential themes based on occurrence, significance and overlap. Together with the lead investigator (JD), the qualitative researchers (MRN and JK) reviewed the themes in relation to the generated codes and the entire dataset. We then agreed on the themes and defined a coding schedule, which was used to code all interviews again to ensure reliability and consistency of coding. QSR NVivo 10 (qualitative analysis software) was used to organise codes and themes.


Socio-demographic characteristics

Table 1 shows that about a third (11/30) of the women did not know their exact dates of birth. Most of the women (77%, 23/30) were married while two-thirds were either unemployed or peasant farmers. Half of the women had no formal education or did not complete primary education, which could be an indicator of the level of literacy amongst this population. All the women lived with one or more family members. More than half (60%, 18/30) had family members present while the consent information was being read, presented or shown. The family members present were either children, a husband, a sister, a sister-in-law or a mother-in-law. The VHWs in each village provided research team or midwives with the directions to the homes or households of the potential pregnant women in the corresponding village. The VHW went with the research midwife up to the home of the potential pregnant woman.

Table 1 Participant characteristics at recruitment

Evaluation of understanding or recall of specific trial information

Table 2 and Fig. 1 show that the majority of the women (90%, 27/30) were assessed for their recall of trial information at the planned 48 h after the original recruitment. The rest (two who received researcher-read consent information and one who received video consent information) were not at home but were assessed within 72 h after recruitment.

Table 2 Objective assessment of participants’ recall of trial information 48 h after recruitment

Irrespective of the model for presenting information, women demonstrated high accuracy in recalling trial information with an overall average QuIC score of 90.8 points. All participants knew how long they were to be followed up for after giving birth as part of the study, the number of participating villages and the chemical content of the hand gel, but there were some errors for the questions on getting more hand gel and who to contact after giving birth. There was evidence that slide-show consent produced a 30% higher correct recall of what to do when the hand gel runs out before the end of the study compared to the standard researcher-read method (95% confidence interval 2–58%).

Overall, the video message had the highest average QuIC score of 92.6 points, compared to 84.8 for the slide-show message and 76.7 for the standard method (Table 2), but none of these differences was statistically significant (one-way ANOVA, p = 0.194).

Table 3 shows the results for the subjective understanding. There was a high overall QuIC score across all three consent models (89 for the standard method, 97 for the slide show and 99 for the video show). The scores for the slide show and the video were similar but both were significantly greater than the score for the standard method (one-way ANOVA, p = 0.002). The video consent model had perfect scores for research aims, study duration, alternatives to trial participation and voluntary participation. The slide-show consent model had perfect scores for study duration and voluntary participation, and the standard consent model had a perfect score for study duration only.

Table 3 Likert-scale score for the recall of information 48 h or more after recruitment and preferences for consent model

Evaluation of preference of consent model

Table 3 shows that, of the three methods of information giving, women preferred the slide show, which had mean scores of not less than 4.2 (highest mean 4.8, highest standard deviation 0.6, widest range 4–5). The researcher-read method was the least favourite with the lowest mean score (lowest mean 3.0, lowest standard deviation 0.0, narrowest range 3–3). Overall, almost two-thirds of the women (19/30, 63.3%) preferred the slide-show consent message.

Qualitative results

An analysis of the semi-structured interviews revealed three themes: pictorial illustrations aid understanding, logical progression of information, and ease of understanding for women who are illiterate. In the quotes from the interviews, numbers 3–11 indicate the BabyGel trial villages and letters A–F are the unique codes for each participant within a village.

Pictorial illustrations aid understanding

Women liked having pictures in the slides that aided their understanding. The slide-show message had pictures that were explanatory to the trial information, meaning that the participants were able to visualise the process:

You understand it fast because you see pictures. It has pictures that you view and these help you to learn. It is most preferred because it has words and pictures, that you can read and view so it helps you to learn how things are done. (3-A)

With slide show, I see pictures as they are illustrated. … I can easily understand as you read. (10-C)

They have drawn pictures that you see as it is being read to you and so it is easy for you to understand. … It has been read to me and I understood it with the help of pictures. (11-B)

Women also noted that the slide show indicates what is happening in the study. Most women found that the image of a sick child to illustrate sepsis was compelling:

The slide has pictures that show how babies look when they fall sick and I have learnt that it’s good to keep hands clean while looking after the baby.

You see how children fall sick and why it’s important to keep the hands clean. (9-B)

It has shown me how serious it is when the baby falls sick as compared to the researcher-read and video-show message. … I have seen what is there and helps me to understand better because of the pictures. (5-A)

The logical progression of information

Many of the participants appreciated the logical flow of information in the slide-show message:

In the slides, you are shown every step. Because the midwife is reading the slides, [and I] am seeing the pictures and their illustrations … it is easy for me to follow. (5-A)

As you were reading it, I was seeing what was taking place. I prefer [the] slide show because it has pictures from beginning up to the end. (8-A)

[It] helps me to relate the picture to the message and know what is going on exactly. (4-E)

Making it easy for women who are illiterate to understand

The women preferred simplicity, especially those who had never received any formal education. For example:

Those illustrations are easy to understand. … For me who has not gone to school, [I am] able to understand better with the help of the pictures which are on the slides. (11-F)

In these rural settings, most women are not educated so they can see the pictures and understand them. (3-C)

Direct comparisons of the models

Most participants preferred the slide-show message consent compared to the other two consent methods:

It is easier to understand (information presentation with pictures) compared to the researcher-read and the video-show message. What is being read on the slides has been illustrated by pictures compared to the video which was read with not enough illustrations. (3-A)

It has pictures that show you how things are done and so it’s easier to understand it compared to the researcher-read and video-message models. You can ask questions at any point if you have not understood while in the video you cannot ask until the end of the video. It’s because it has pictures that illustrate what is being talked about while for the video it is just hearing the reading and no chance of even asking questions in between.


Those who preferred the video message believed that explanations were being shown in real time and therefore, they stated that it was much easier to understand. They also believed that the language was simple and easy to understand.

It is clearer for me to understand and get what is being said clearly. (11-B)

It’s live and clear … as compared to researcher-read and slide show. (3-E)

These who preferred the researcher-read message mentioned being able to read it by themselves until they understood it:

I can read it by myself and understand it in my own way. (4-B)


To our knowledge, this is the first study to compare video and illustrated participant trial information with the long-established researcher-read method in a rural African setting. Overall, the comprehension of the trial information was high across all three consent models. Our study attempts to address the need to improve informed consent found in other studies assessing QuIC [10,11,12, 21]. A related study found a high rate of understanding and awareness of study participation, even among the less well educated. It applied a multisource informed consent information system with an enhanced informed consent form, brochure and poster. The information was presented in stages [22]. Furthermore, our study is the first to find a closely related degree of objective understanding with subjective understanding, regardless of the literacy level. Other studies have found that the degree of subjective understanding to be higher than the degree of objective understanding [12]. Our study showed that women are concerned about the condition of their children and pay attention to information relating to the condition, which might have influenced the high rates of understanding of trial and trial information in this population. However, lessons from two HIV clinical trials in Uganda indicate that study participants pay limited attention to study design issues during the consent process except for invasive procedures like blood tests. This study gives another possible explanation for the high rates of understanding in this population. Further, we used only a few questions to assess understanding and the participants may have found them simple. Our finding does not concur with an African study amongst parents who had a significant but varied comprehension of the informed consent process in research activities in northern Ghana [23].

The video message and slide-show message participants ranked their understanding above that of those who received the standard researcher-read model. Previous studies have shown interactivity and multimedia to be effective in promoting individuals’ understanding of and confidence in consent [9, 10, 16, 24], while longer consent forms for clinical trials compromise patient understanding [25]. Though the video show had overall QuIC scores for self-scored understanding just above that of the slide show, most participants preferred the slide-show message, including those who had been recruited using the video show. From the participants’ perspective, women may not have valued the video message as it was simply a recording of the researcher reading out the study information. Also, the benefits of using pictures to aid understanding and the logical progression of the information in the slide show might have made it preferable compared to the other formats. Though this is the first study to report on the use of a slide show and to look at the understanding and preferences of pregnant women in these communities regarding the presentation of trial information, the results concur with previous recommendations [10, 26]. The results for the slide show agree with the lessons from two HIV trials in Uganda that appropriate interactions and communications between participants and researchers are vital for improving participants’ understanding of the informed consent process [27]. Further, the participants were articulate about the slide-show message presentation, suggesting that even women who are illiterate can easily understand the trial information with the aid of the pictures. This demonstrates the power of pictorial communication in information recall.

In this study, women’s ability to engage actively in the informed consent process demonstrates the importance of involving participants in the design of trial information. This is supported by studies on involving patients and the public in constructing trial information together with the research team [28].

It may be challenging for a research team to find equivalent pictures for some of the text due to the technical jargon used for informed consent. We think that some large trials, especially those involving children and new vaccines, may struggle to find appropriate pictures for the slide show of participant information. However, ethics committees would still require all relevant trial information to be incorporated in the slide show.


The small sample size in this study may have increased the risk of the research team being misled by chance differences in the three consent methods. Larger studies would provide more statistical power to explore the factors that improve understanding. Also, participants were not allocated at random to the three methods. Hence, we did not ensure that the participants in the three groups were as similar as possible to each other before the interventions were started. Also, participants’ recall of the information was measured only within 48 h and their recall and understanding after a long time, especially in the long-term follow-up during a trial, may be different.


Our results suggest that the use of illustrations and diagrams to complement patient information sheets are both effective and acceptable in a rural African setting, but these need to be carefully designed. This small study suggests that study information presented in this way is of comparable effectiveness to other methods, and this method is preferred by participants. We recommend that this format is further explored in larger studies. Ethics committees should ensure that trial information is provided in an acceptable and memorable way, especially in settings with low levels of literacy.



Confidence interval


Consolidated Standards of Reporting Trials


Open-Data Collection Kit


Quality of Informed Consent


Standard deviation


  1. 1.

    Uganda National Council for Science and Technology (UNCST). National Guidelines for Research involving Humans as Research Participants, no. July. Kampala: UNCST; 2014.

    Google Scholar 

  2. 2.

    World Medical Association. World Medical Association Declaration of Helsinki Ethical Principles for Medical Research Involving Human Subjects. JAMA. 2013;310(20):2191–4.

  3. 3.

    Okello G, et al. Challenges for consent and community engagement in the conduct of cluster randomized trial among school children in low-income settings: experiences from Kenya. Trials. 2013;14(1):142.

    Article  Google Scholar 

  4. 4.

    Williams BF, French JK, White HD. Informed consent during the clinical emergency of acute myocardial infarction (HER0-2 consent substudy): a prospective observational study. Lancet. 2003;361(9361):918–22.

    Article  Google Scholar 

  5. 5.

    Joffe S, Cook EF, Cleary D, Clark JW, Weeks JC. Quality of Informed Consent: a New Measure of Understanding Among Research Subjects. J Natl Cancer Inst. 2001;93(2):139-47.

  6. 6.

    Afolabi MO, Okebe JU, Mcgrath N, Larson HJ, Bojang K, Chandramohan D. Informed consent comprehension in African research settings. Trop Med Int Health. 2014;19(6):625-42.

  7. 7.

    Hallinan Z, Forrest A, Uhlenbrauck G, Young S, McKinney R Jr. Barriers to Change in the Informed Consent Process: A Systematic Literature Review. Ethics Hum Res. 2016;38(3):1–10.

    Google Scholar 

  8. 8.

    Heerman WJ, White RO, Barkin SL, Heerman W. Advancing Informed Consent for Vulnerable Populations. Pediatr Perspect Pediatr. 2015;135(3).

  9. 9.

    Synnot A, Ryan R, Prictor M, Fetherstonhaugh D, Parker B. Audio-visual presentation of information for informed consent for participation in clinical trials (Review). Cochrane Database Syst Rev. 2014;(5):1-138.

  10. 10.

    Nishimura A, Carey J, Erwin PJ, Tilburt JC, Murad MH, Mccormick JB. Improving understanding in the research informed consent process: a systematic review of 54 interventions tested in randomized control trials. BMC Med Ethics. 2013;14:28.

    Article  Google Scholar 

  11. 11.

    Falagas ME, Korbila IP, Giannopoulou KP, Kondilis BK, Peppas G. Informed consent: how much and what do patients understand? Am J Surg. 2009;198(3):420–35.

    Article  Google Scholar 

  12. 12.

    Shiono YN, et al. Participants’ understanding of a randomized controlled trial (RCT) through informed consent procedures in the RCT for breast cancer screening, J-START. Trials. 2014;15:375.

    Article  Google Scholar 

  13. 13.

    Enama ME, Hu Z, Gordon I, Costner P, Ledgerwood JE, Grady C. Randomization to Standard and Concise Informed Consent Forms: Development of Evidence-Based Consent Practices. Contemp Clin Trials. 2012;33(5):895–902.

    Article  Google Scholar 

  14. 14.

    Kruse AY, et al. A Randomized Trial Assessing the Impact of Written Information on Outpatients’ Knowledge About and Attitude Toward Randomized Clinical Trials. Control Clin Trials. 2000;21(3):223–40.

    CAS  Article  Google Scholar 

  15. 15.

    Bristol ST, Hicks RW. Protecting boundaries of consent in clinical research: Implications for improvement. Nurs Ethics. 2014;21(1):16-27.

  16. 16.

    Simon CM, Klein DW, Schartz HA. Interactive multimedia consent for biobanking: a randomized trial. Genet Med. 2016;18(1):57–64.

    CAS  Article  Google Scholar 

  17. 17.

    Farrell EH, et al. Systematic review and meta-analysis of audio-visual information aids for informed consent for invasive healthcare procedures in clinical practice. Patient Educ Couns. 2014;94(1):20–32.

    Article  Google Scholar 

  18. 18.

    Uganda Bureau of Statistics (UBOS) and ICF. Uganda Demographic and Health Survey 2016. Kampala: Uganda and Rockville, Maryland, USA: UBOS and ICF; 2018.

    Google Scholar 

  19. 19.

    Barrett D, Twycross A. Data collection in qualitative research. Evid Based Nurs. 2018;21(3):63–4.

    Article  Google Scholar 

  20. 20.

    Green J, Thorogood N. Qualitative Methods for Health Research. 2nd ed. London: SAGE Publications; 2009.

    Google Scholar 

  21. 21.

    Gillies K, Entwistle V, Treweek SP, Fraser C, Williamson PR, Campbell MK. Evaluation of interventions for informed consent for randomised controlled trials (ELICIT): protocol for a systematic review of the literature and identification of a core outcome set using a Delphi survey. Trials. 2011;16(484):1-10.

  22. 22.

    Cervo S, et al. An effective multisource informed consent procedure for research and clinical practice: An observational study of patient understanding and awareness of their roles as research stakeholders in a cancer biobank. BMC Med Ethics. 2013;14(1):30.

    Article  Google Scholar 

  23. 23.

    Oduro AR, et al. Understanding and retention of the informed consent process among parents in rural northern Ghana. BMC Med Ethics. 2008;9:1–9.

    Article  Google Scholar 

  24. 24.

    Nehme J, El-Khani U, Chow A, Hakky S, Ahmed AR, Purkayastha S. The use of multimedia consent programs for surgical procedures: a systematic review. Surg Innov. 2013;20(1):13–23.

    Article  Google Scholar 

  25. 25.

    Beardsley E, Jefford M, Mileshkin L. Longer Consent Forms for Clinical Trials Compromise Patient Understanding: So Why Are They Lengthening? J Clin Oncol. 2007;25(9):e13–4.

    Article  Google Scholar 

  26. 26.

    Wade J, Donovan JL, Athene Lane J, Neal DE, Hamdy FC. It’s not just what you say, it’s also how you say it: Opening the ‘black box’ of informed consent appointments in randomised controlled trials. Soc Sci Med. 2009;68(11):2018–28.

    Article  Google Scholar 

  27. 27.

    Ssali A, Poland F, Seeley J. Volunteer experiences and perceptions of the informed consent process: Lessons from two HIV clinical trials in Uganda Ethics in Biomedical Research. BMC Med Ethics. 2015;16(1):1–14.

    Article  Google Scholar 

  28. 28.

    Hardavella G, Bjerg A, Saad N, Jacinto T, Powell P. How to optimise patient and public involvement in your research: doing science. Breathe. 2015;11(3):223–7.

    Article  Google Scholar 

Download references


We would like to thank all the research institutions involved in the study. We also would like to thank all the individuals who participated in the study, especially the women in Mbale, the community advisory board (chaired by the district health officer, John Baptiste Waniaye), the health facilities (Busiu Health Centre four (HCIV), Lwangoli health centre three (HCIII), and Siira HCIII) and the surrounding villages. We acknowledge the VHWs and the research assistants for their tireless collection of data.


The study was financially supported by the Medical Research Council in the UK, Wellcome Trust and the Department for International Development in the UK through the Global Health Trials scheme (MR/M017990/1). The funding organisations had no any part in the execution of the study or the write-up.

Availability of data and materials

The data will be made available on request from the Sanyu Africa Research Unit, Department of Women’s and Children’s Health, University of Liverpool. Requests for access to anonymised data should be made to Professor Andrew Weeks (’.

Author information




JD and ADW designed the study. JD, JK, MRN, MNO, BF, JDR, JA, POO, EDC, AML, MG, JS and ADW developed and refined the study information slides. JD led the field data collection and analysis and coordinated the data management. JK and MRN performed qualitative interviews and managed transcripts. All authors were involved in writing up the manuscript and in a critical review of the drafts. All authors read and approved the final manuscript.

Corresponding author

Correspondence to J. Ditai.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the institutional review committee of Mbale Regional Hospital (REIRC IN–COM 011/2015), the research and ethics committee of the University of Liverpool (RETH000808) and the Uganda National Council for Science and Technology (HS1768) as part of the BabyGel pilot study. Informed consent for the nested study was obtained from all study participants prior to their taking part in the study and the BabyGel pilot trial. The study was registered with the ISRCTN registry (ISRCTN67852437).

Consent for publication

Written informed consent was obtained from the participant and researcher for publication of their accompanying images in Fig. 1 and the study video in this manuscript. Copies of the consent forms are held by the authors’ institution in the investigation site and are available for review by the editor-in-chief.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

The approved participant information sheet (zipped PIS english and Lumasaba). (ZIP 48 kb)

Additional file 2:

The approved slides (English version and Lumasaba version). (ZIP 12399 kb)

Additional file 3:

The approved videos (English version and Lumasaba version). (ZIP 77985 kb)

Additional file 4:

The stepwise development process of informed consent models. (DOCX 19 kb)

Additional file 5:

Data collection tool: Optimal Informed Consent in the BabyGel pilot Cluster Randomised Trial. (DOCX 123 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ditai, J., Kanyago, J., Nambozo, M.R. et al. Optimising informed consent for participants in a randomised controlled trial in rural Uganda: a comparative prospective cohort mixed-methods study. Trials 19, 699 (2018).

Download citation


  • Consent, Participant information sheet, Slide show, Video message show, Standard