Fall Prevention on a Geriatric Ward
This nursing pilot evaluates a bedside fall-prevention protocol against standard care on an inpatient geriatric ward, examining early-window fall rates, follow-up fall-risk scores, and time-to-event (survival) analysis of days_to_first_fall over the observation period.
- To describe patient demographics, baseline_fall_risk, and early-window outcomes across the intervention and control groups.
- To determine the association between fell_short_term and group.
- To determine the relationship between baseline_fall_risk and fall_risk_followup.
- To estimate Kaplan-Meier survival curves for days_to_first_fall by group and compare using the log-rank test.
- To model days_to_first_fall using Cox regression on age, baseline_fall_risk, and group.
| Column | Kind | Missing | Distinct |
|---|---|---|---|
| days_to_first_fall | numeric | 0 | 40 |
| event_indicator | numeric | 0 | 2 |
| patient_id | text | 0 | 90 |
| group | categorical | 0 | 2 |
| age | numeric | 0 | 25 |
| sex | categorical | 0 | 2 |
| mobility | categorical | 0 | 3 |
| baseline_fall_risk | numeric | 0 | 82 |
| fell_short_term | numeric | 0 | 2 |
| fall_risk_followup | numeric | 0 | 85 |
Detected a survival design with 9 analyzable variable(s) and 5 analytical question(s). Recommended 7 statistical test(s). Estimated cost: 68 credits.
| n | max | min | std | mean | mode | range | median | variable | variance |
|---|---|---|---|---|---|---|---|---|---|
| 90 | 93.900 | 16.900 | 16.734 | 59.219 | 54.200 | 77 | 57.500 | baseline_fall_risk | 280.021 |
| 0 | 1 | row |
|---|---|---|
| 27 | 18 | control |
| 37 | 8 | intervention |
The result is statistically significant (p = 0.0363 < 0.05).
The result is statistically significant (p = 0.0000 < 0.05).
| n | group | events | censored | median survival | restricted mean |
|---|---|---|---|---|---|
| 45 | control | 37 | 8 | 32 | 0.586 |
| 45 | intervention | 16 | 29 | — | 0.803 |
Observed 53 event(s) in 90 subject(s).
| n | group | events |
|---|---|---|
| 45 | control | 37 |
| 45 | intervention | 16 |
The result is statistically significant (p = 0.0000 < 0.05).
| coef | p value | hr ci low | predictor | hr ci high | hazard ratio |
|---|---|---|---|---|---|
| -1.284 | 0.000 | 0.153 | group_intervention | 0.501 | 0.277 |
The result is statistically significant (p = 0.0000 < 0.05).
| n | group | events | censored | median survival | restricted mean |
|---|---|---|---|---|---|
| 45 | control | 37 | 8 | 32 | 0.586 |
| 45 | intervention | 16 | 29 | — | 0.803 |
Observed 53 event(s) in 90 subject(s).
| coef | p value | hr ci low | predictor | hr ci high | hazard ratio |
|---|---|---|---|---|---|
| -1.321 | 0.000 | 0.145 | group_intervention | 0.490 | 0.267 |
| -0.006 | 0.780 | 0.954 | age | 1.036 | 0.994 |
| 0.006 | 0.502 | 0.989 | baseline_fall_risk | 1.023 | 1.006 |
The result is statistically significant (p = 0.0001 < 0.05).
Publication-ready report
Tests used · Results · Discussion — generated from the computed statistics.
Download the exact Jupyter notebook or Python script that reproduces these results with widely-used libraries (scipy, statsmodels, lifelines).
Run your own study
Bring your problem statement, objectives, and a dataset — thericerca does the rest.
Get started →