Usability of a Web-Based App for Increasing Adolescent Vaccination in Primary Care Settings: Think-Aloud and Survey Assessment
Bibliographic record
Abstract
BACKGROUND: In the United States, only 58% of teens receive the recommended 2 doses of the human papillomavirus vaccine by 15 years of age. Overcoming vaccine hesitancy often requires effective communication between clinicians and parents to address specific concerns. To support this, we developed ProtectMe4, a multilevel, theory-informed web-based intervention designed to address parents' vaccine-related questions and assist clinicians in discussing vaccine concerns for 4 adolescent vaccines. OBJECTIVE: This study aims to evaluate the usability of ProtectMe4 in routine care settings across 3 pediatric primary care clinics. Specifically, the study aims to (1) observe the proposed workflow in practice, (2) identify usability issues experienced by parents and clinicians, and (3) assess the perceptions of both parents and clinicians regarding the app's usability. METHODS: On designated days in 2020 and 2021, the study team recruited parents of 11- to 12-year-old patients attending appointments with participating clinicians. We conducted think-aloud assessments during routine care visits and administered a usability survey after participants used the app. For parents, we simultaneously video-recorded the app screens and audio-recorded their commentary. For clinicians, observational notes were taken regarding their actions and comments. Timings recorded within the app provided data on the length of use. We reviewed the recordings and notes to compile a list of identified issues and calculated the frequencies of survey responses. RESULTS: Out of 12 parents invited to use the app, 9 (75%) participated. Two parents who were invited outside of the planned workflow, after seeing the clinician, refused to participate. For the parents whose child's vaccination record was identified by the app, the median time spent using the app was 9 (range 6-28) minutes. Think-aloud assessment results for parents were categorized into 2 themes: (1) troubleshooting vaccine record identification and (2) clarifying the app content and purpose. Among the 8 parents who completed the survey, at least 75% (6/8) agreed with each acceptability measure related to user satisfaction, perceived usefulness, and acceptance. These parents' children were patients of 4 of the 7 participating clinicians. Consistent with the planned workflow, clinicians viewed the app before seeing the patient in 4 of 9 (44%) instances. The median time spent on the app per patient was 95 (range 5-240) seconds. Think-aloud assessment results for clinicians were grouped into 2 themes: (1) trust of app vaccine results and (2) clarifying the app content. On the survey, clinicians were unanimously positive about the app, with an average System Usability Scale score of 87.5 (SE 2.5). CONCLUSIONS: This mixed methods evaluation demonstrated that ProtectMe4 was usable and acceptable to both parents and clinicians in real-world pediatric primary care. Improved coordination among clinic staff is needed to ensure the app is consistently offered to patients and reviewed by clinicians before seeing the patient.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".