| Course | RES 4353 Evidence-based Health Education and Literacy |
|---|---|
| Module | Module 3 |
| Paper type | Critical appraisal of a randomized trial |
| Length | 1,210 words, about 4 pages plus title and reference pages |
| Format | APA 7 student paper |
| School | American College of Education |
| Program | B.S. in Healthcare Administration |
| Updated | September 2026 |
Free sample paper for RES 4353 Module 3
A Photograph of a Filled Syringe as the Outcome: Appraising the Validity of a 2024 Randomized Trial of Health Literacy-Informed Discharge Counseling
Student Name
American College of Education
RES4353: Evidence-based Health Education and Literacy
Module 3 Assignment
Instructor Name
October 19, 2026
Why This Study
The literature search in the previous module found eight studies relevant to a community health center pharmacy's proposal to change how liquid medicines are dispensed to families. Of those, the trial by Carroll et al. (2024) deserves the closest reading. It is the most recent randomized trial, it measured dosing at home rather than in a clinic, and it tested a bundle of the same elements the pharmacy is considering: a pictogram-based instruction sheet, teach-back, in which caregivers state back what they were taught, and show-back, in which they demonstrate drawing the dose into an oral syringe. If the pharmacy relies on one study to justify the change, this is likely to be it, so its validity matters.
The appraisal is organized by the five domains of RoB 2, the Cochrane group's updated bias tool for randomized trials: the randomization process, deviations from the intended interventions, missing outcome data, measurement of the outcome and selection of the reported result (Sterne et al., 2019). It then considers external validity, whether the results would hold in a different setting.
The Study in Brief
The trial took place at a single U.S. tertiary children's hospital from June 2021 to August 2022. English- and Spanish-speaking caregivers of children aged 6 years or younger who were discharged with a new, scheduled liquid medicine were randomized one to one, 99 to each group, to the counseling bundle or standard discharge counseling. Two to three days after discharge, caregivers used a mobile application to send a photograph of the syringe filled with their child's next dose. Two trained staff members who did not know group assignment estimated the measured volume. The mean dosing error was 1.0% in the intervention group and 3.3% in the standard group, an absolute difference of 2.3 percentage points (95% CI, 1.0 to 3.6). Of those with an outcome, 30.4% of the intervention group and 54.2% of the standard group measured an incorrect dose.
Randomization
Allocation used permuted blocks of four generated through the study's electronic data system, which is a sound method when the next assignment is concealed from recruiters. Blocks of a fixed small size carry one known risk: staff who know the block size can sometimes predict the last assignment in a block, and the article does not say whether recruiters were aware of it. More telling is a baseline imbalance. On the health literacy screening measure, 57.6% of intervention caregivers scored in the adequate range compared with 42.4% of the standard group. Randomization can produce such differences by chance, especially in a trial of this size, but here the imbalance favors the intervention on the very characteristic the intervention targets. The authors anticipated this possibility and planned a weighted analysis, discussed below. This domain is best judged as some concern.
Deviations From the Intended Interventions
Caregivers and the people delivering counseling could not be blinded, since one group received a visibly different conversation. That is unavoidable in education trials and matters mainly if knowing the group changed behavior in ways other than the intervention itself. A more practical concern is who delivered the bundle: the study's principal investigator, a pediatric hospitalist, or a trained research assistant, with each instruction sheet customized by hand. Standard counseling was given by the usual discharge staff. The comparison is therefore between a carefully delivered research intervention and routine practice, which tests what the bundle can achieve under good conditions rather than what busy staff will achieve with it. This does not bias the comparison as run, but it limits what the result means for everyday use.
Missing Outcome Data
This is the domain of greatest concern. The primary outcome was available for 151 of the 198 caregivers, 76.3%, well below the 90% the investigators planned for when they calculated their sample size. The analysis is described as following intention-to-treat principles, but it included only caregivers who completed the photograph upload, which makes it a complete-case analysis. The authors report that baseline characteristics were similar between those who completed follow-up and those who did not and that loss was similar between groups, which is reassuring. Still, caregivers who struggled most with the medicine may have been the least likely to photograph it, and that could differ by group in ways baseline measures do not capture. When nearly a quarter of the outcomes are missing, the question is not only how many are gone but who they were. Judgment: some concern.
Measuring the Outcome and Reporting the Result
Measurement was a strength. The outcome was observed rather than self-reported, the two assessors were blinded to group, and they agreed on the exact volume in 93% of photographs, with a third reviewer resolving differences. Two limits remain. Caregivers knew they would photograph the dose, which may have made them more careful than on an ordinary night, in both groups. And every caregiver received the smallest appropriate syringe, which the authors note placed an upper bound on how large an error could be.
On reporting, the trial was registered in advance, and the prespecified weighted analysis that adjusted for baseline imbalances was reported alongside the main result. That analysis matters: after weighting, the difference in mean dosing error fell from 2.3 to 1.5 percentage points, with a confidence interval of 0.1 to 2.9. The effect remained statistically significant, but it was smaller and less certain, consistent with part of the unadjusted result reflecting the health literacy imbalance. Judgment for measurement: low risk; for reporting: low risk.
Setting the Result Beside Earlier Evidence
The size of the effect looks modest next to the earliest trial in this literature. Yin et al. (2008) reported that, for daily-dose medicines, errors beyond the 20% threshold fell from nearly half of caregivers under usual counseling to about one in twenty with pictogram-based counseling. The 2024 trial's headline difference of a few percentage points in mean error is not directly comparable, because it averages all doses, including the many measured correctly, rather than counting large errors. Its secondary result, 30.4% against 54.2% measuring an incorrect dose, is closer in form and points the same way. The two trials together suggest that the benefit is real across settings more than a decade apart, while the smaller adjusted estimate in the newer trial is a caution against expecting the dramatic early result in routine practice.
Overall Judgment and External Validity
Taken together, the trial has some concerns about bias, chiefly from missing outcome data and a baseline imbalance, but its core finding holds in the adjusted analysis and agrees with the experiments and quality improvement work summarized in the previous module. Internal validity is reasonably good. External validity is more limited for the pharmacy's purposes. The trial took place at one academic children's hospital, most caregivers were White, follow-up lasted only two to three days, and the bundle was delivered by research staff at discharge, not by pharmacists at a community counter. The study therefore supports adopting the three elements, but it cannot tell the pharmacy how large the benefit will be in its own setting, which is a reason to measure dosing accuracy locally after the change.
References
Carroll, A. R., Johnson, J. A., Stassun, J. C., Greevy, R. A., Mixon, A. S., & Williams, D. J. (2024). Health literacy-informed communication to reduce discharge medication errors in hospitalized children: A randomized clinical trial. JAMA Network Open, 7(1), Article e2350969. https://doi.org/10.1001/jamanetworkopen.2023.50969
Sterne, J. A. C., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., Cates, C. J., Cheng, H.-Y., Corbett, M. S., Eldridge, S. M., Emberson, J. R., Hernán, M. A., Hopewell, S., Hróbjartsson, A., Junqueira, D. R., Jüni, P., Kirkham, J. J., Lasserson, T., Li, T., ... Higgins, J. P. T. (2019). RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ, 366, Article l4898. https://doi.org/10.1136/bmj.l4898
Yin, H. S., Dreyer, B. P., van Schaick, L., Foltin, G. L., Dinglas, C., & Mendelsohn, A. L. (2008). Randomized controlled trial of a pictogram-based intervention to reduce liquid medication dosing errors and improve adherence among caregivers of young children. Archives of Pediatrics & Adolescent Medicine, 162(9), 814-822. https://doi.org/10.1001/archpedi.162.9.814
What the RES 4353 Module 3 instructions ask for
RES 4353 Module 3 commonly asks you to take one research article and judge how trustworthy and applicable it is. Prompts usually ask you to identify the design, describe the sample and setting, examine how the intervention or exposure and the outcome were measured, assess sources of bias, and interpret the results, then reach an overall judgment. Many sections name an appraisal tool, such as a CASP checklist, the Johns Hopkins evidence appraisal tool or the Cochrane risk of bias tool; others let you choose. Read the full article, including tables and limitations, rather than only the abstract, since many important details appear only there. Confirm in Canvas whether the article is assigned or whether you pick one from your earlier search.
How the RES 4353 Module 3 example is put together
The model appraisal first explains why this trial, among the studies found, deserves the closest reading. It summarizes the study compactly, then moves through each domain of the named tool in order. Randomization is judged on method and on a baseline imbalance visible in the study's own table. The deviations domain separates unavoidable lack of blinding from the more important question of who delivered the intervention. Missing data are compared with the investigators' planning assumption, and the analysis label is examined. Measurement strengths are credited, and the adjusted analysis is used to show how the imbalance affected the estimate. The paper ends with an overall judgment on internal and external validity and a practical implication.
Where the points sit in the RES 4353 Module 3 rubric
Appraisal rubrics usually reward accurate identification of the design, systematic use of an appraisal framework, depth in assessing bias and a reasoned conclusion. Graders look for evidence that the full article was read, such as details from tables and methods. The bias criterion rewards explaining the likely direction and size of each concern, not just listing possible biases. Interpretation earns points when confidence intervals and adjusted analyses are discussed rather than only p-values. A criterion on applicability often asks whether the findings transfer to the student's setting. Balanced judgment, crediting strengths as well as weaknesses, tends to score higher, and the remaining points usually go to a logical order and correct APA 7 style.
RES 4353 Module 3 help from the desk
Appraisals most often go wrong by listing every possible bias without saying whether it applies to this study. Another frequent mistake is accepting the authors' own description, such as intention to treat, without checking what the analysis actually included. Students also appraise from the abstract, missing baseline tables and limitations that change the judgment. Credit strengths as well as weaknesses; graders read one-sided appraisals as incomplete. Report the confidence interval, not only whether a result was significant. Say plainly what the study means for practice. When your assigned article is a cohort study, a survey or a quasi-experiment instead, share it and the rubric, and we can prepare a Module 3 appraisal of that article.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official American College of Education document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
More RES 4353 and B.S. in Healthcare Administration sample papers
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- RES 4353 Module 2: Literature Search and Summary
- RES 4353 Module 4: Statistical Results Interpretation
- RES 4353 Module 5: Plain-Language Evidence Brief
- HLTH 4913 Module 3: Cause and Options Analysis
- HLTH 4313 Module 5: Leadership Self-Assessment
- HLTH 4913 Module 2: Capstone Literature Review
- HLTH 4403 Module 5: Technology Adoption Proposal
RES 4353 Module 3 questions, answered
What does RES4353 Module 3 usually ask for?
RES4353's third module usually asks you to appraise one published study in depth: its design, sampling, measurement, analysis and sources of bias, ending with a judgment about how much its findings can be trusted and applied. Your classroom's instructions decide the study and tool.
What are the domains of the Cochrane risk of bias tool?
The revised tool for randomized trials examines the randomization process, deviations from intended interventions, missing outcome data, measurement of the outcome and selection of the reported result.
Is a complete-case analysis the same as intention to treat?
No. Intention to treat analyzes everyone as randomized; a complete-case analysis includes only participants with outcome data, which can introduce bias if those lost differ between groups.
Where can I find a free RES 4353 Module 3 sample paper?
Right here. This page has the whole Module 3 appraisal of a 2024 randomized trial of discharge counseling, taken domain by domain through the Cochrane risk of bias tool, with internal and external validity judged.
What is the difference between internal and external validity?
Internal validity asks whether the study's result is true for its own participants; external validity asks whether it would hold for other people and settings.