This review is the result of a virtual, collaborative live review discussion organized and hosted by PREreview and JMIR Publications. The discussion was joined by 19 people: 1 author, 2 facilitators, 3 members of the JMIR Publication team, and 13 live review participants. Dr. Aishah Ibrahim wished to be recognized for their participation in the live review discussion, even though they have not contributed to authoring the review below. We thank all participants who contributed to the discussion and made it possible for us to provide feedback on this preprint.
The study aimed to evaluate a custom mobile forms software's preference and usability in conducting large-scale population health surveys among volunteer surveyors in low-resource communities in the Philippines. Using convenience sampling, the authors conducted pilot testing and surveys in diverse communities, leading to the development of a user-friendly mobile forms software with offline functionality and time tracking. Field testing involved training local surveyors to use the software for health-related surveys, followed by a data collection and analysis phase.
The primary finding indicates that the custom mobile form software is a viable method for large-scale population health surveys in low-resource environments, meeting key needs of offline functionality, user-friendliness, and timing metrics tracking. Initially, 40% of participants from pilot interviews preferred paper due to perceived ease and speed, but after minimal usage, 70% of surveyors found the mobile forms easier and faster to complete.
This research highlights the practical usability of mobile form software in low-resourced settings, presenting significant implications for global health initiatives. Its cost-effectiveness compared to traditional paper-based approaches enhances equity in population health studies, facilitating data collection in low-resourced settings. The shift in surveyor preferences extends to more complex surveys, making this study a valuable contribution to the field.
This study's strengths lie in its human-centered approach and comprehension of preferences and usability. However, limitations include a small sample size of surveyors testing the form, lack of replicability, absence of clear limitations and ethical disclosures, and occasional results that do not consistently align with the main topic or question.
Below we list some concerns that were brought up in the live review, and, when possible, we attempt to provide suggestions for addressing them.
Major concerns and feedback
Rationale of the approach. Reviewers had some questions about the rationale behind the choice of the approach. Was there an initial hypothesis that was tested? If so, can the authors explain the rationale in more detail?
General clarity. Language used was straight-forward with simple and short sentences so generally very easy to follow. However, several reviewers found the manuscript very descriptive and lacking critical analysis/reflection (more on this later in the review). Furthermore, some parts of the article could benefit from re-structuring the text (moving text to different sections). For example, it is recommended the authors consider moving the findings described in the Methodology section to the Results section. Authors may also consider streamlining the manuscript to ensure the same result is not repeated multiple times in the same section, which can be confusing for the reader.
More methodological details. While the study outlines the general approach used in the pilot interviews and field testing, it would be helpful to add detailed methodological specifics, like the criteria for selecting survey sites and surveyors, the precise training process for surveyors, the number and conditions of interviews, the demographic of the population tested and the kind of interview method that was used.
Descriptive results, vague language, unsupported conclusions. The interpretation of the data seems primarily positive towards mobile forms, but it might be somewhat biased due to the lack of objective measures and control groups—the conclusions are largely based on subjective feedback rather than on a comprehensive analysis of performance metrics. This is an important limitation of the study that should be at least recognized. For example, the sentence “The surveyors mostly used their phones for Social Media and Messaging apps. This indicated that these surveyors were reasonably comfortable using their phones.” is a conclusion based on general observation rather than on quantitative assessment. Or another example, “Surveyors interviewed were chosen through convenience sampling.”; what did the authors mean by this? More information would be needed to better understand how the selection of surveyors was done.
Similarly, more details are needed about the context of validity of the research. The ease of training to use the app may not account for varying levels of technological literacy or familiarity among different populations. The conclusion that mobile forms are preferred might be overreaching if generalized beyond the specific demographic and geographic context of the study.
Furthermore, more empirical support to the conclusion about the potential for broader adoption and preference for mobile forms with increased usage may need more explanation. This statement is based on a hypothesis rather than concrete data from the study. Without objective measures or comparisons to standard benchmarks, conclusions about the ease of use of the mobile app are subjective and may need to be nuanced.
If data were collected using more robust and established methods for usability testing (e.g., task completion time, error rate analysis, validated usability/acceptability questionnaires), the reviewers recommend they be added to the manuscript.
Finally, the reviewers recommend removing subjective/non quantitative words to describe the results, such as “good”, “important”, etc. which can guide the reader to misinterpret (and even overinterpret) the results.
More technical information. The study doesn’t provide in-depth information about the technical aspects of the mobile forms software (e.g., what language was used to write the code, the code itself). Without this information, replicating the software for a similar study would be challenging. If readers are unable to access the source code used to generate the software, the reproduction and validation of the results would not be possible. The reviewers suggest that the authors consider sharing the source code on GitHub with an open source license so that others are able to investigate the code, build upon it and adapt it to their needs so that other groups too with the same issues can benefit from this work.
Ethics and privacy. Reviewers had several concerns around ethical and privacy issues related to the study. They asked if the mobile app was HIPAA compliant and if it had obtained IRB approval. Furthermore, the reviewers expressed concern around data privacy for the people who were surveyed through the app: Where were the data stored? Were there ways to secure the data collected on private phones so that they could not be stolen easily?
Study limitations. Reviewers identified several limitations of the study and suggest they are discussed in a separate section of the discussion so that the reader can easily access them. Most important limitations include geographic and demographic limitation, sample selection, lack of a control group, potential technological familiarity and bias (e.g., are the people developing the tool the same as the ones conducting the survey?), depth of usability testing, and software development process. Furthermore, although the findings show there is dominant interest in mobile form, the issue of lack of ownership of phones, poor internet access, typing speed, educational status of the participants should be properly discussed.
Minor concerns and feedback
Software like REdCap and SurveyMonkey can work offline and can time questions. It would be helpful to compare this newly developed software with existing ones with comparable features.
Some reviewers wondered if the authors quantified differences in the degree of numerical literacy, language literacy, and technological literacy amongst the surveyors as factors that could have influenced the speed of filling the mobile forms.
One of the findings is that a portion of the surveyors was not found to be proficient with modern technology. Some reviewers wondered if the authors saw a correlation between technological proficiency and age. It would be interesting to show if that was the case.
It would be helpful to know whether informed consent was obtained from the surveyors.
More information about the research conditions in the context would be helpful (highschool internship in the company). Also, sentences like the following one don’t help understand the scientific context or topic: “Since Gawad Kalinga builds free housing in ten thousand locations across the Philippines, it can reach over one million households and mobilize many volunteers.” Reviewers suggest authors are more clear and specific in stating what they want to communicate, in that case presumably that the partner wants to reach respondents on a bigger scale.
In figure 6: histogram, summary statistics in text could supplement the visualization
The reviewers praise the data visualization as the authors made it easy for readers to grasp the results. However, higher image resolutions would help improve fig 1 and 3. Some wondered how fig 1 supports the argument.
It would be helpful to have a table summarizing characteristics of participants
In the introduction, the authors mention there were 33 surveyors, but in the figures, it looks like there are 50?
Figure 2 should be under results instead of methods
Figure 2 and several subsequent ones: the captions should describe the figures and not interpret the results. Interpretation of the results should be reserved to the result session (to a certain extent), and to the discussion.
If data are comparable, it would be useful to have pre- and post preference for mobile forms presented in the same figure for comparison, perhaps using different colors for clarity.
Figure 4, regarding the location of the study would be better either in introduction, or primary paragraphs of the methodology.
Figure 6: histogram, summary statistics in text could supplement the visualization.
It would be important to include how many surveyors were interviewed right at the beginning of the Methodology section rather than waiting until later in the manuscript.
Were there any problems regarding the battery life/charging of the mobile phones? How was this dealt with? Were surveyors provided with a charged power bank to overcome potential lack of power?
A reviewer suggested the addition of a voice command to the digital survey as a way to collect qualitative research not only just research questions in future research. Like open-ended and closed-ended questions.
We thank the authors of the preprint for posting their work openly for feedback. We also thank all participants of the Live Review for their time and for engaging in the lively discussion that generated this review.
The authors declare that they have no competing interests.