Hospital performance comparison of inpatient fall rates; the impact of risk adjusting for patient-related factors: a multicentre cross-sectional survey

Risk-adjusted trend in national inpatient fall rates observed from 2011 to 2019 in acute care hospitals in Switzerland: a repeated multicentre cross-sectional study

OBJECTIVES

This study aimed to investigate whether a significant trend regarding inpatient falls in Swiss acute care hospitals between 2011 and 2019 could be confirmed on a national level, and whether the trend persists after risk adjustment for patient-related fall risk factors.

DESIGN

A secondary data analysis was conducted based on annual multicentre cross-sectional studies carried out between 2011 and 2019.

SETTING

All Swiss acute care hospitals were obliged to participate in the surveys. Except for emergency departments, outpatient wards and recovery rooms, all wards were included.

PARTICIPANTS

All inpatients aged 18 or older who had given their informed consent and whose data were complete and available were included.

OUTCOME MEASURE

Whether a patient had fallen in the hospital was retrospectively determined on the survey day by asking patients the following question: Have you fallen in this institution in the last 30 days?

RESULTS

Based on data from 110 892 patients from 222 Swiss hospitals, a national inpatient fall rate of 3.7% was determined over the 9 survey years. A significant linear decreasing trend (p=0.004) was observed using the Cochran-Armitage trend test. After adjusting for patient-related fall risk factors in a two-level random intercept logistic regression model, a significant non-linear decreasing trend was found at the national level.

CONCLUSIONS

A significant decrease in fall rates in Swiss hospitals, indicating an improvement in the quality of care provided, could be confirmed both descriptively and after risk adjustment. However, the non-linear trend, that is, an initial decrease in inpatient falls that flattens out over time, also indicates a possible future increase in fall rates. Monitoring of falls in hospitals should be maintained at the national level. Risk adjustment accounts for the observed increase in patient-related fall risk factors in hospitals, thus promoting a fairer comparison of the quality of care provided over time.

Impact of the End PJ Paralysis interventions on patient health outcomes at the participating hospitals in Alberta, Canada

PURPOSE

Multiple hospitals in Alberta implemented the End PJ Paralysis - a multicomponent inpatient ambulation initiative aimed at preventing the adverse physical and psychological effects patients experience due to low mobility during admission. To inform a scale-up strategy, this study assessed the impact of the initiative based on select process and outcome measures.

MATERIALS AND METHODS

Clinical and administrative data were obtained from the hospital Discharge Abstract Database, Research Electronic Data Capture (Redcaps), and Reporting and Learning System for Patient Safety. The variables explored were length of stay, inpatient falls, discharge disposition, pressure injury, patient ambulation, and patient dressed rates. We then used the Interrupted Time Series design for impact analysis.

RESULTS

The analysis included discharge abstracts for 32,884 patients and the results showed significant improvements in outcomes at the participating units. The length of stay and inpatient falls were reduced immediately by 1.8 days (B2=-1.80, p = 0.044, 95% CI [-3.54, -0.05]), and 2.2 events (B2=-2.22, p = 005, 95% CI [-3.75, -0.69]). The percentage of patients discharged home increased overtime (B2=.39, p=.006, 95% CI [.11, .66]). Mobilization and dressed rates also improved.

CONCLUSIONS

The findings imply the interventions safely mitigated the risk of immobility-induced complications, including deconditioning and hospital-acquired disability.

Comparing risk-adjusted inpatient fall rates internationally: validation of a risk-adjustment model using multicentre cross-sectional data from hospitals in Switzerland and Austria

BACKGROUND

Inpatient falls in hospitals are an acknowledged indicator of quality of care. International comparisons could highlight quality improvement potential and enable cross-national learning. Key to fair cross-national comparison is the availability of a risk adjustment model validated in an international context. This study aimed to 1) ascertain that the variables of the inpatient fall risk adjustment model do not interact with country and thus can be used for risk adjustment, 2) compare the risk of falling in hospitals between Switzerland and Austria after risk adjustment.

METHODS

The data on inpatient falls from Swiss and Austrian acute care hospitals were collected on a single measurement day in 2017, 2018 and 2019 as part of an international multicentre cross-sectional study. Multilevel logistic regression models were used to screen for interaction effects between the patient-related fall risk factors and the countries. The risks of falling in hospital in Switzerland and in Austria were compared after applying the risk-adjustment model.

RESULTS

Data from 176 hospitals and 43,984 patients revealed an inpatient fall rate of 3.4% in Switzerland and 3.9% in Austria. Two of 15 patient-related fall risk variables showed an interaction effect with country: Patients who had fallen in the last 12 months (OR 1.49, 95% CI 1.10-2.01, p = 0.009) or had taken sedatives/psychotropic medication (OR 1.40, 95% CI 1.05-1.87, p = 0.022) had higher odds of falling in Austrian hospitals. Significantly higher odds of falling were observed in Austrian (OR 1.38, 95% CI 1.13-1.68, p = 0.002) compared to Swiss hospitals after applying the risk-adjustment model.

CONCLUSIONS

Almost all patient-related fall risk factors in the model are suitable for a risk-adjusted cross-country comparison, as they do not interact with the countries. Further model validation with additional countries is warranted, particularly to assess the interaction of risk factors "fall in the last 12 months" and "sedatives/psychotropic medication intake" with country variable. The study underscores the crucial role of an appropriate risk-adjustment model in ensuring fair international comparisons of inpatient falls, as the risk-adjusted, as opposed to the non-risk-adjusted country comparison, indicated significantly higher odds of falling in Austrian compared to Swiss hospitals.

Between-hospital variation in indicators of quality of care: a systematic review

BACKGROUND

Efforts to mitigate unwarranted variation in the quality of care require insight into the 'level' (eg, patient, physician, ward, hospital) at which observed variation exists. This systematic literature review aims to synthesise the results of studies that quantify the extent to which hospitals contribute to variation in quality indicator scores.

METHODS

Embase, Medline, Web of Science, Cochrane and Google Scholar were systematically searched from 2010 to November 2023. We included studies that reported a measure of between-hospital variation in quality indicator scores relative to total variation, typically expressed as a variance partition coefficient (VPC). The results were analysed by disease category and quality indicator type.

RESULTS

In total, 8373 studies were reviewed, of which 44 met the inclusion criteria. Casemix adjusted variation was studied for multiple disease categories using 144 indicators, divided over 5 types: intermediate clinical outcomes (n=81), final clinical outcomes (n=35), processes (n=10), patient-reported experiences (n=15) and patient-reported outcomes (n=3). In addition to an analysis of between-hospital variation, eight studies also reported physician-level variation (n=54 estimates). In general, variation that could be attributed to hospitals was limited (median VPC=3%, IQR=1%-9%). Between-hospital variation was highest for process indicators (17.4%, 10.8%-33.5%) and lowest for final clinical outcomes (1.4%, 0.6%-4.2%) and patient-reported outcomes (1.0%, 0.9%-1.5%). No clear pattern could be identified in the degree of between-hospital variation by disease category. Furthermore, the studies exhibited limited attention to the reliability of observed differences in indicator scores.

CONCLUSION

Hospital-level variation in quality indicator scores is generally small relative to residual variation. However, meaningful variation between hospitals does exist for multiple indicators, especially for care processes which can be directly influenced by hospital policy. Quality improvement strategies are likely to generate more impact if preceded by level-specific and indicator-specific analyses of variation, and when absolute variation is also considered.

PROSPERO REGISTRATION NUMBER

CRD42022315850.

Validation of the stratify scale for the prediction of falls among hospitalized adults in a tertiary hospital in Colombia: a retrospective cohort study

The STRATIFY scale has been implemented as a preventive strategy for predicting the risk of accidental falls among hospitalized adults. However, there is still uncertainty about its accuracy. This study aimed to perform an external validation of the STRATIFY fall prediction scale in hospitalized adults in one tertiary care hospital in Bogotá, Colombia. The study was a retrospective cohort of adult hospitalized patients in a high-level complexity care hospital. The sample selected included admitted patients (age ≥ 18), consecutively by the institution between 2018 and 2020, with an evaluation of the fall risk measured by the STRATIFY score given to each at the time of hospital admission. For assessing the scale's feasibility, its discriminative capability was obtained by calculating sensitivity, specificity, likelihood ratios, predictive values, and area under the ROC curve. The evaluation included 93,347 patient hospital records (mean 56.9 years, 50.2% women). The overall sensitivity score was 0.672 [IC 95% 0.612-0.723], the specificity score was 0.612 [IC 95% 0.605-0.615], and the positive likelihood ratio was 1.73 [IC 95% 1.589-1.891]. The area under the ROC curve was 0.69 [IC 95% 0.66-0.72]. Subgroups of age obtained similar results. Applying the STRATIFY scale at hospital admission resulted in a lower performance of the tool-predict falls in hospitalized patients. It is necessary to implement an individual evaluation of the risk factors for falls in order to structure appropriate care plans to prevent and improve hospital safety.

Nurses' perspectives on inpatient falls in a large academic hospital in South Africa

BACKGROUND

Falls risk assessment tools, including the Morse Falls Scale, have been used for years, and yet falls remain key adverse events in hospitals. Nurses are key role players in falls prevention and can champion patient safety.

OBJECTIVES

The aim of the study was to explore ward nurses' attitudes, knowledge and practices regarding the use of falls risk assessment tools, institutional falls policy and falls prevention.

METHODS

A survey design was used. All permanent ward nurses were eligible to participate, and a convenience sample was used.

RESULTS

Nurses endorsed the Morse Falls Scale, recommended by institutional policy, as effective in reducing falls and indicated that incident reporting measured progress on monitoring fall events. Falls prevention training was scanty; however, nurses were keen for further education of falls.

CONCLUSION

Effective falls risk management needs to extend beyond promulgating policy and actively address nursing and patient education.Contribution: This study adds to the sparse literature regarding nursing practice and falls prevention in a developing country. Recommendations for change have been made.

Inpatient Falls and Orthopaedic Injuries in Elderly Patients: A Retrospective Cohort Analysis From a Falls Register

Background Hospital inpatient falls have been a major area of concern in the healthcare setting. This poses a multifaceted challenge to healthcare systems, as elderly patients are at increased risk of harm and significant morbidity secondary to inpatient falls. In addition, hospital admission increases the risk of falls in acutely unwell elderly patients. There remains little consensus on best practices in reducing inpatient falls. With this, lies the risk to life or quality of life to this cohort of patients. Moreover, it is not evident whether orthopaedic injuries sustained by elderly patients in hospital and their management, including rehabilitation, has evolved with time. Methodology This was a retrospective cohort analysis of all inpatient falls over a three-year period in a single UK District General Hospital. A total of 101,183 acute admissions were analysed. All falls were identified and categorised into harm categories according to National Patient Safety Alerts. Patients sustaining moderate harm or more were assessed to determine injuries sustained, patient-associated factors, factors surrounding the fall, management incurred, length of stay, and financial burden incurred. Results A total of 101,183 admissions were analysed revealing a total of 2,453 in-patient falls. The rate of inpatient falls was 2.42%. Of these, 49 (1.98%) patients sustained moderate harm or more. Patient-related factors included age and comorbidities; 82% of patients were above the age of 75, and 78% of patients had three or more medical comorbidities. Fall-related factors leading to moderate harm or more included time of fall and ward. Most falls occurred out of hours (80%) and in acute medical wards (69%). The average length of stay following fall was 2.4 weeks per patient and a combined 110 weeks in the three-year period. In non-deceased patients, increased dependency and reduced mobility at discharge were noted. The total hospital annual financial burden due to moderate harm or more following an inpatient fall was approximately £123,490.00. Length of stay was the major contributor to this (£90,090.00 annually). Conclusions Inpatient falls remain a considerable patient safety issue, with orthopaedic injuries playing a central role in harm to patients following these falls. These also pose considerable service and financial costs to healthcare organisations. Further work is needed to identify best practices in in-hospital fall prevention and streamlining post-fall management and rehabilitation.

Falls at the Geriatric Hospital Ward in the Context of Risk Factors of Falling Detected in a Comprehensive Geriatric Assessment

It is only by knowing the most common causes of falls in the hospital that appropriate and targeted fall prevention measures can be implemented. This study aimed to assess the frequency of falls in a hospital geriatrics ward and the circumstances in which they occurred and evaluate the parameters of the comprehensive geriatric assessment (CGA) correlating with falls. We considered medical, functional, and nutritional factors associated with falls and built multivariable logistic regression analysis models. A total of 416 (median age 82 (IQR 77-86) years, 77.4% women) hospitalizations in the geriatrics ward were analyzed within 8 months. We compared the results of a CGA (including health, psycho-physical abilities, nutritional status, risk of falls, frailty syndrome, etc.) in patients who fell and did not fall. Fourteen falls (3.3% of patients) were registered; the rate was 4.4 falls per 1000 patient days. They most often occurred in the patient's room while changing position. Falls happened more frequently among people who were more disabled, had multimorbidity, were taking more medications (certain classes of drugs in particular), had Parkinson's disease and diabetes, reported falls in the last year, and were diagnosed with orthostatic hypotension. Logistic regression determined the significant independent association between in-hospital falls and a history of falls in the previous 12 months, orthostatic hypotension, Parkinson's disease, and taking statins, benzodiazepines, and insulin. Analysis of the registered falls that occurred in the hospital ward allowed for an analysis of the circumstances in which they occurred and helped to identify people at high risk of falling in a hospital, which can guide appropriate intervention and act as an indicator of good hospital care.