Adapting the Germ Defence Web-Based Intervention to Improve Infection Prevention and Control in Care Homes: Interview Study Among Care Home Staff
Bibliographic record
Abstract
BACKGROUND: Infection prevention and control (IPC) is vital in care homes as it can reduce morbidity and mortality by 30%. Ensuring good IPC practice is a perennial challenge in the varied and complex context of care homes. Behavior change interventions delivered via digital technology may be effective in improving IPC among care home staff. OBJECTIVE: This study aimed to evaluate how an evidence-based, digital behavior change intervention called Germ Defence can be rapidly adapted to meet the needs of care homes. METHODS: This study applied the person-based approach, which emphasizes iterative approaches to optimizing interventions via individual user feedback. Phase 1 involved initial edits to the website by the research team to create Germ Defence for Care Homes (GDCH) version 1. Phase 2 consisted of stakeholder consultation on GDCH version 1 followed by edits to create GDCH version 2. The formal research (phases 3 and 4) involved individual think-aloud interviews with 21 staff members from management, care, and ancillary positions in 4 care homes providing real-time feedback as they worked through GDCH. Edits were made to create GDCH version 3 between phases 3 and 4. During the development of GDCH versions 2 and 3, it became clear that the intervention would need more fundamental changes beyond the pragmatic, incremental changes that would be possible within the scope of this study. Analysis was completed via a rapid, qualitative descriptive approach to develop a high-level summary of key findings from the interview data. RESULTS: There were mixed results about the attractiveness of GDCH and its suitability to the care home context. Participants felt that the images needed to be aligned much more closely with the meaning of adjacent text. Many participants felt that they would not have time to read a text-based website, and some suggested that more engaging content, including audio and video, may be preferable. Most participants felt that the overall concept of Germ Defence was clearly relevant to their context. Some felt that it might be a useful introduction for new staff members or a refresher for current staff, but others felt that it did not add anything to their existing IPC training. There were mixed opinions about the level of detail provided in the information offered by the site. While the goal-setting behavior change mechanism may have potential, the findings suggested that it may be unsuitable for care homes and more work is needed to refine it. CONCLUSIONS: Much more work needs to be done to make Germ Defence more engaging, accessible, and relevant to the care home workforce. Our study highlights the challenges of rapidly adapting an existing intervention to a new context. Future research in this area will require a pragmatic methodological approach with a focus on implementation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".