Patient falls: searching for the elusive "silver bullet"

'Strangers in a strange land': Understanding professional challenges for human factors/ergonomics and healthcare

Human Factors and ergonomics (HFE) expertise continues to have difficulty integrating its experts into healthcare. This persistent disconnect is compounded by unique aspects of healthcare as an institution, industry and work system. Clinically-embedded HFE practitioners, a new HFE sub-specialty, are a conduit for addressing substantive mismatches between the two domains. Greater HFE penetration will require a fundamental change in stance for both domains, however, the burden will lie with HFE to be the more adaptive of the two. Learning more about the in situ work of this sub-specialty will provide insights for more nuanced approaches to bridging domain specific mismatches and obstacles.

Preventing Falls in Hospitalized Patients: State of the Science

Falls in hospitalized patients are a pressing patient safety concern, but there is a limited body of evidence demonstrating the effectiveness of commonly used fall prevention interventions in hospitals. This article reviews common study designs and the evidence for various hospital fall prevention interventions. There is a need for more rigorous research on fall prevention in the hospital setting.

Hourly rounding and patient falls: what factors boost success?

BACKGROUND

Falls are a persistent problem in all healthcare settings, with rates in acute care hospitals ranging from 1.3 to 8.9 falls per 1,000 inpatient days, about 30% resulting in serious injury.

METHODS

A 30-day prospective pilot study was conducted on two units with pre- and postimplementation evaluation to determine the impact of patient-centered proactive hourly rounding on patient falls as part of a Lean Six Sigma process improvement project. Nurse leaders and a staff champion from Unit 1 were involved in the process from the start of the implementation period, while Unit 2 was introduced to the project for training shortly before the intervention began.

RESULTS

On Unit 1, where staff and leadership were engaged in the project from the outset, the 1-year baseline mean fall rate was 3.9 falls/1,000 patient days. The pilot period fall rate of 1.3 falls/1,000 patient days was significantly lower than the baseline fall rate (P = 0.006). On Unit 2, where there was no run-in period, the 1-year baseline mean fall rate was 2.6 falls/1,000 patient days, which fell, but not significantly, to 2.5 falls/1,000 patient days during the pilot period (P = 0.799).

DISCUSSION

Engaging an interdisciplinary team, including leadership and unit champions, to complete a Lean Six Sigma process improvement project and implement a patient-centered proactive hourly rounding program was associated with a significant reduction in the fall rate in Unit 1. Implementation of the same program in Unit 2 without engaging leadership or front-line staff in program design did not impact its fall rate.

CONCLUSIONS

The active involvement of leadership and front-line staff in program design and as unit champions during the project run-in period was critical to significantly reducing inpatient fall rates and call bell use in an adult medical unit.

Do patients accurately perceive their fall risk?

BACKGROUND

In U.S. hospitals, from 700,000 to 1 million inpatients fall each year. About a third of these falls could have been prevented.

OBJECTIVES

This project's purpose was to document patient perceptions of their inpatient fall risk and determine how these perceptions were associated with clinical indicators of fall risk.

METHODS

From six medical-surgical units, 193 patients were randomly selected and surveyed about their perceived fall risk during their hospital stay. For 101 of them, the Schmid fall risk assessment score, age, and gender were recorded. A retrospective review of the Schmid scores of all patients who fell during a 6-month historical sample period was reviewed for comparison.

RESULTS

Most patients (88%) reported that they didn't feel at risk for falling during their hospital stay. No correlation between their Schmid score and their perceived fall risk was found. Historical review of all inpatients who'd fallen in a prior period showed that the 358 patients with known Schmid scores had a full range of scores. These are normally distributed from 0 to 6, with over 40% of patients experiencing falls having Schmid scores of less than 3.

CONCLUSIONS

Patient perceptions of falls match neither their clinical risk nor their actual likelihood of falling. When designing fall prevention strategies, it may be important to remind providers of this gap in patient knowledge, which includes overconfidence in the role of the care team in preventing falls