Improving Initial Management of the Injured at Ghanaian District and Regional Hospitals With a Trauma Intake Form: Complete Statistical Analysis

1. Trial at a Glance

This page covers the registry results for Improving Initial Management of the Injured at Ghanaian District and Regional Hospitals With a Trauma Intake Form (NCT04547192), a randomized na study. The primary outcome is Appropriate Use of Key Performance Indicators in Initial Assessment and Management of the Injured at Non-tertiary Hospitals in Ghana.

2. Clinical Question

The practical question is whether a structured intake form can support consistent initial assessment in settings where early trauma care may be chaotic and documentation may be incomplete. The registry frames the form as a potential way to encourage the use of key indicators and improve recording of initial assessment data. It does not report a single overall percentage change in the primary endpoint in the posted analyses.

Some care indicators are described as conditional on the injury or circumstances. For example, the record says spine immobilization was indicated only for road traffic injury or fall victims. That matters for interpretation: an indicator should be assessed among patients for whom it is appropriate, rather than treated as a universal task for every injured patient. The registry's wording for some eligibility criteria is unclear, and detailed operational definitions are not reported in the registry record.

3. Trial Design

This was a randomized trial with a sequential model and no masking. The registry describes introduction of the Trauma Intake Form at 8 hospitals, with start times randomized using a stepped-wedge design. The intervention was introduced over time, so hospitals contributed care observations before and after TIF introduction rather than being described simply as permanently assigned to separate parallel groups. The enrollment recorded for the trial is 4105.

The study focused on emergency units at non-tertiary hospitals in Ghana. Its stated primary objective was to assess appropriate use of key performance indicators in initial assessment and management of injured patients, as assessed by independent observers. The registry also describes an objective concerning adequate initial-assessment data before versus after introduction of the form. Mortality is listed as a secondary outcome.

The trial's listed dates are a start date of 2020-10-01 and a primary completion date of 2022-03-31. Its status is completed. The registry lists the phase as NA, which is not a drug-development phase designation in the trial description. The sponsor is Kwame Nkrumah University of Science and Technology.

A stepped-wedge design can be useful when an intervention is introduced across sites in stages. It also makes analysis more complex than a simple comparison of two independent sets of individuals: calendar time, hospital-level clustering, and the sequence of implementation may matter. The registry reports generalized linear mixed regression analyses, but the full model specification, covariates, and handling of time are not reported in the registry record. The exact allocation sequence and the number of observations at each hospital and period are also not reported in the registry record.

The trial enrollment is not a count to divide into equal intervention and comparison groups: the design is cluster-randomized and sequential. Group-specific sample sizes for each posted analysis are not reported in the registry record. A simple individual-level re-analysis is not presented because it could misrepresent the clustered design.

4. Participant Flow and Accounting

The registry reports how participants moved through each stage of the study. All counts below are exactly as posted; missing counts are not inferred from other stages.

Before assignment: New participants were enrolled for every period within a sequence. The number of participants enrolled in each Period of the stepped wedge varied but add up to a total of 4,105. 4,077 enrolled participants had complete primary data for analysis.

Period 1: 0-14 Weeks

Reasons for not completing this period:

Period 2: 14-28 Weeks

Reasons for not completing this period:

Period 3: 28-42 Weeks

Reasons for not completing this period:

Period 4: 42-56 Weeks

Reasons for not completing this period:

Analysis population for the primary outcome, as defined in the registry: Spine immobilized was indicated only for RTI or fall victims Tetanus considered was only indicated for parties with for bites, burns, lacerations, aord abrasions

5. Baseline Characteristics

The table reproduces the baseline characteristics posted in the registry, which describe the participants analysed at baseline and help show whether the randomized groups were comparable.

Population: Of 2,090 patients were enrolled before TIF introduction and 2,015 after TIF introduction, 23 patients and 5, respectively were excluded due to incomplete primary outcome data.

6. Primary Endpoint

The registry lists the primary outcome as Appropriate Use of Key Performance Indicators in Initial Assessment and Management of the Injured at Non-tertiary Hospitals in Ghana, measured over 17.5 months.

The primary endpoint concerns the appropriate use of key performance indicators during initial assessment and management of injured patients. The registry describes it as the percentage of injured patients for whom indicators such as blood pressure, heart rate, and oxygen saturation are measured at initial assessment by emergency health service providers. It also indicates that some measures are appropriate only for certain injury circumstances.

This endpoint is intended to capture whether important assessment tasks are completed, rather than a downstream health outcome alone. In a busy emergency setting, reliable measurement and documentation can help make initial care processes more observable. The registry's stated rationale is that a structured form might function as a checklist and improve documentation of key elements of care.

The endpoint is reported in the registry as a participant count parameter, while the description refers to a percentage. The record does not give the underlying numerator and denominator for the primary result, nor does it provide a single overall percentage for the comparison. It lists odds-ratio analyses, but does not clearly map each estimate to a particular indicator or specify the event coding and reference category. Consequently, the reported estimates cannot be translated into an absolute percentage-point change from the record alone.

The registry's indicator definitions and eligibility rules are not fully detailed. In particular, the record notes that spine immobilization was indicated only for road traffic injury or fall victims, while the wording for the tetanus-related criterion is unclear. These details matter because appropriate performance depends on evaluating each action in the patients for whom it is indicated.

7. Why No Re-analysis Is Shown

8. Statistical Interpretation

9. Statistical Methods Explained

The registry identifies generalized linear mixed regression as the method for the reported analyses. This is a modeling approach that can represent an outcome using a link function and can include random effects to account for grouped or clustered observations. In general, mixed models are useful when data are collected within sites or other groups, because outcomes from the same group may be more alike than outcomes from different groups. That general property is relevant to a hospital-based stepped-wedge design, but the registry does not report which random effects or other model terms were used.

What does the odds ratio represent?

In general, an odds ratio compares the odds of an outcome between groups. Odds are different from probabilities: an odds ratio is not itself a percentage change or a difference in the proportion of patients with an outcome. Interpretation depends on what counts as the event, which group is the reference, and how the comparison is coded. The registry lists odds ratios but does not clearly connect each estimate to an individual indicator or spell out its event and reference coding. The estimates therefore should not be translated into statements about a particular care action without that missing information.

The posted odds ratios include values both above and below 1, with p-values that also vary. A value's direction can be interpreted only after confirming the outcome and reference group. A value's size should be interpreted alongside an interval estimate and the underlying event frequency. The registry does not report confidence intervals for these estimates, and it does not provide the primary-indicator counts needed to contextualize them in absolute terms.

Why does the stepped-wedge design matter?

In general, a stepped-wedge trial introduces an intervention to clusters in stages, with randomized timing of the transition. Hospitals can contribute observations during both pre-intervention and post-intervention periods. This structure may allow each hospital to serve as its own source of comparison over time, while also requiring the analysis to address clustering and possible changes across calendar time. The registry describes randomized start times at 8 hospitals and a sequential design. It does not report the exact model terms used to account for hospital, time, or implementation sequence.

Patients treated at the same hospital may share staff, workflows, documentation practices, and local conditions. A model that accounts for clustering can produce uncertainty estimates that better reflect that similarity than a model that treats all patient records as independent. This is a general statistical point, not a claim about undocumented model details. The record explicitly notes that a simple individual-level re-analysis would be misleading and that only the sponsor's own analysis is shown.

How should p-values be read?

In general, a p-value summarizes how surprising data at least as incompatible with a null hypothesis would be if that null model and the analysis assumptions were correct. It does not give the probability that the null hypothesis is true, and it does not describe the magnitude or practical importance of an association. The registry lists p-values from 0.001 to 0.504. Their interpretation is limited because the corresponding outcomes, model details, and confidence intervals are not fully reported.

Confidence intervals, in general, show a range of effect estimates compatible with the observed data and the specified method, subject to its assumptions. They communicate precision as well as direction and magnitude. No confidence intervals are reported for the listed odds ratios. The absence of intervals makes it harder to distinguish a precise estimate from one with substantial uncertainty, especially where an odds ratio is far from 1.

What is not specified about the model?

The registry does not report the full analysis plan, model formula, covariates, link function, treatment of calendar time, handling of missing observations, or the analysis population for each estimate. It does not clearly identify which of the listed odds ratios correspond to separate performance indicators, nor does it state whether estimates are adjusted for particular patient or hospital characteristics. Those details are needed to reproduce the analysis and assess whether the fitted model aligns with the design and endpoint definitions.

The record lists 12 analyses and 2 outcome measures, but the posted details do not provide a full mapping of analyses to outcomes or a multiplicity strategy. In general, when multiple outcomes or analyses are tested, the chance of at least one apparently unusual result can rise if no adjustment or prespecified hierarchy is used. Whether that concern applies and how it was addressed are not reported in the registry record.

The posted enrollment is 4105, but it should not be treated as the size of either comparison group or as evidence that every enrolled patient contributed to every endpoint. The registry does not give group-specific analysis counts or detail exclusions and missingness. For a clustered sequential study, the quantity and distribution of observations across hospitals and time periods are also important to the precision of estimates.

10. Analyses Reported by the Sponsor

The registry reports the sponsor's generalized linear mixed regression analyses. It does not present an independent, simple individual-level recalculation. The record explains that such a re-analysis would be misleading because the trial is cluster-randomized, so the sponsor's own analysis is the relevant posted analysis to read for the reported odds ratios and p-values.

The estimates are not accompanied by confidence intervals, and the registry does not clearly map each odds ratio to a specific performance indicator. Thus, the sponsor's analysis supplies the reported model-based evidence, but the record does not provide enough detail to reconstruct each comparison or judge its precision fully. No recalculated estimate is shown that could be contrasted with the sponsor's estimate.

Sample-size illustrations based on an observed effect, when presented, are planning exercises rather than observed power and are not the trial's original design justification. The registry's sample-size assumptions describe a planning illustration, but the trial's own sample-size justification is not reported in the registry record. Such illustrations should not be used to replace the cluster-aware sponsor analysis or to infer that the trial had a particular probability of detecting an effect.

11. Multiplicity, Missing Data and Analysis Populations

The registry lists 2 outcome measures and 12 analyses. It identifies the primary outcome as appropriate use of key performance indicators in initial assessment and management, and lists mortality as a secondary outcome. The posted analysis entries contain multiple odds ratios and p-values, but do not clearly map each estimate to a particular indicator, endpoint, or time comparison.

When many outcomes or analyses are examined, general statistical practice is to consider multiplicity: repeated testing can make at least one small p-value more likely even when there is no underlying association. That does not mean the reported findings are false; it means interpretation depends on whether outcomes and analyses were prespecified and whether an adjustment or hierarchy was planned. Multiplicity adjustment, endpoint hierarchy, and any prespecified analysis plan are not reported in the registry record.

Missing-data handling is also not reported in the registry record. The record does not state how incomplete initial assessments, absent indicator measurements, or missing outcome records were treated. It does not describe whether missingness was assessed by intervention period or hospital, or whether any imputation or sensitivity analysis was used.

The analysis population is not reported in the registry record. Although the trial enrollment is 4105, the record does not state how many participants contributed to each analysis, whether all eligible patients were included, or what exclusions were applied. It also does not give the distribution of analyzed observations across hospitals and time periods. These gaps matter because outcome completeness and the balance of observations across a stepped-wedge trial can affect the interpretation of model-based estimates.

Interim analyses, stopping rules, and a statistical analysis plan are not reported in the registry record. Without those details, it is not possible to establish which analyses were planned in advance, how multiplicity was handled, or whether the posted set is complete.

12. Safety Results

The registry reports serious adverse events as affected participants divided by participants at risk.

Deaths

Other (non-serious) adverse events

Participants with at least one non-serious event at or above the registry's 0% reporting threshold.

Most frequent serious adverse event terms

Serious events with the highest arm-level rate: wound infection (0.8%), pneumonia (0.4%).

The registry reports mortality-related counts for the periods before and after TIF introduction. Before introduction, it lists 2067 at risk, 24 serious events affected, and 47 deaths. After introduction, it lists 2010 at risk, 6 serious events affected, and 22 deaths. These are reported counts; the record does not explain in detail how the serious-event fields relate to the separate death counts.

The registry also lists wound infection at 0.8% and pneumonia at 0.4% among the top serious terms. It does not give further context for those percentages, including their denominator, period, or whether they are combined across groups. They should not be treated as a comparison between the pre-introduction and post-introduction periods.

These figures are descriptive registry entries, not a complete safety analysis. The record does not report adjusted comparisons, confidence intervals, attribution to the intervention, or detailed definitions and ascertainment procedures for adverse events. The counts alone do not establish why events occurred or whether any difference between periods is attributable to TIF. Mortality is listed as a secondary outcome, while the trial's primary question concerns care processes.

13. What the Result Does, and Does Not, Mean

The registry describes a cluster-randomized, stepped-wedge evaluation of a Trauma Intake Form intended to support initial trauma assessment in non-tertiary hospitals in Ghana. Its primary question concerns appropriate use of key performance indicators, including whether specified assessments are measured when indicated. The posted results include generalized linear mixed regression odds ratios and p-values, but do not identify clearly which estimate corresponds to each indicator or provide confidence intervals.

Accordingly, the record does not permit a precise overall estimate of the change in appropriate care, nor does it show an absolute percentage-point difference for the primary endpoint. Some reported p-values are small and others are not, but p-values alone do not describe effect magnitude, precision, or clinical importance. The direction of individual estimates also depends on event and reference coding that is not reported clearly.

The findings should not be reduced to a single yes-or-no claim about the form. They are model-based results from a design in which hospitals adopted the intervention sequentially, and appropriate interpretation depends on accounting for clustering and time. The sponsor's analysis is the only analysis posted for that design; a simple individual-level recalculation is not shown because the registry record says it would be misleading.

The mortality and serious-event counts provide additional descriptive information, but they do not answer the primary process question and are not accompanied by adjusted comparisons or uncertainty estimates. The registry record does not report enough information about missing data, analysis populations, or the full statistical plan to resolve those limitations.

In general, a process measure can indicate whether specified care activities were recorded or performed, but it is not itself proof of a change in patient outcomes. The registry reports mortality as a secondary outcome, yet the available entries do not establish that any observed mortality pattern was caused by the form. The results describe posted analyses and counts; they do not by themselves establish a causal explanation or provide medical advice.

14. Why This Trial Matters Statistically

This trial raises a valuable statistical question about how to evaluate a workflow intervention across hospitals when implementation occurs in stages. The stepped-wedge arrangement is not equivalent to assigning each patient independently to a form or no-form group. Hospital clustering and calendar time are part of the design, and the registry appropriately signals that a simple individual-level re-analysis could be misleading.

The study also highlights the difference between a care-process endpoint and a patient outcome. Measuring whether key indicators are used can capture whether a checklist-like tool is incorporated into initial assessment. Mortality is separately listed as a secondary outcome. Keeping these questions distinct helps prevent a process result from being interpreted as proof of a downstream clinical effect.

From a reporting perspective, interpretation would be clearer if each odds ratio were connected to its specific indicator, with event coding, reference group, confidence interval, and absolute outcome counts. The record's lack of those details leaves readers unable to assess precision or translate model estimates into absolute differences. Transparent reporting of missingness, analysis populations, time adjustment, and multiplicity would also help readers understand how the posted analyses relate to the trial's stated aims.

The registry emphasizes an implementation problem that is relevant to statistical design: a form may affect both care activity and documentation. Those outcomes are related but not identical. Care may be recorded differently after a form is introduced, so a measurement process needs clear definitions that distinguish completed care from improved documentation. The registry states both objectives, making explicit endpoint definitions and analysis reporting important.

15. Limitations

• The posted summary statistics are the only data these results rest on; patient-level data, full protocols and statistical analysis plans are not available.
• Recalculated results are simple, unadjusted calculations from posted summaries. They do not replace the sponsor's prespecified analysis.

The principal limitation of the posted statistical record is incomplete reporting of the primary analyses. Although multiple odds ratios and p-values are listed, the registry does not clearly identify which estimate belongs to which performance indicator, specify event and reference coding, or provide confidence intervals. It also does not present the underlying primary-endpoint counts or an overall percentage comparison.

The full generalized linear mixed regression specification is not reported in the registry record. Details about hospital and time effects, covariates, model assumptions, and analysis populations are absent. Since the design is cluster-randomized and stepped-wedge, these details are important for understanding how the analysis reflects the randomized timing and within-hospital correlation.

Definitions and eligibility rules for indicators are not fully clear. The record says spine immobilization was indicated only for road traffic injury or fall victims, and the wording of the tetanus-related criterion is unclear. If appropriate performance is conditional on patient circumstances, incomplete definitions can make the endpoint difficult to reproduce or compare across settings.

Missing-data procedures, exclusions, and the number of observations contributing to each analysis are not reported in the registry record. Neither the multiplicity strategy nor a prespecified statistical analysis plan is reported. These omissions limit assessment of selection, precision, and how the set of reported analyses was chosen.

Finally, mortality and serious adverse-event fields are reported as counts or percentages without sufficient detail on definitions, ascertainment, denominators, or adjusted comparisons. They offer descriptive context but do not support a causal interpretation of differences between periods. The record also does not provide the trial's sample-size justification.

16. Related Tutorials

17. Related Statistical Calculators

18. Sources

• ClinicalTrials.gov: Improving Initial Management of the Injured at Ghanaian District and Regional Hospitals With a Trauma Intake Form — NCT04547192.
• Registry record last updated 2024-01-02; status last verified 2023-12.
• Results first posted 2024-01-02.
• Data retrieved from ClinicalTrials.gov on 2026-11-09.
• Group sizes, means, event counts and sponsor-reported p-values are reproduced as posted. Effect estimates, confidence intervals and p-values not attributed to the sponsor are independently calculated from the posted summary statistics.

19. Record Summary

The completed trial, NCT04547192, evaluated introduction of a Trauma Intake Form for initial injury management in emergency units at non-tertiary hospitals in Ghana. The registry describes randomized start times at 8 hospitals in a sequential stepped-wedge design, with no masking, and records enrollment of 4105. The listed start date is 2020-10-01 and the primary completion date is 2022-03-31.

The primary outcome concerns appropriate use of key performance indicators during initial assessment and management. Mortality is listed as a secondary outcome. The posted analyses report generalized linear mixed regression odds ratios and p-values, but do not include confidence intervals or clearly map each estimate to a specific indicator. Mortality and serious-event counts are also recorded. The registry does not report the full model specification, missing-data procedures, analysis populations, multiplicity approach, or sample-size justification.