Expanding the Health Belief Model for exploring inpatient fall risk perceptions: A methodology paper.

AIMS: Inpatient falls among older adults are a relentless problem, and extant inpatient fall prevention research and interventions lack the older adults' perspectives and experiences of their own fall risk in the hospital. Theory-guided research is essential in nursing, and the purpose of this paper was to describe the process of developing a theoretical framework for a phenomenological nursing study exploring older adults' lived experiences of being at risk for falling in the hospital. METHOD: Based on philosophical nursing underpinnings, the Health Belief Model (HBM) was selected as the theoretical model. The limitations of the model led to expansion of the model with established concepts associated with accidental falls among older adults. RESULTS: The HBM was selected as the guiding model due to its ability to capture a broad range of perceptions of a health threat. The HBM was expanded with the concepts of embarrassment, independence, fear of falling, dignity and positivity effect. The addition of these concepts made the theoretical framework more applicable to age-related developmental behaviours of older adult and more applicable to nursing research. CONCLUSION: The Expanded HBM theoretical framework may guide future nursing research to develop fall prevention interventions to decrease fall rates among hospitalized older adults. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

How do healthcare providers use national audit data for improvement?

BACKGROUND: Substantial resources are invested by Health Departments worldwide in introducing National Clinical Audits (NCAs). Yet, there is variable evidence on the NCAs' effectiveness and little is known on factors underlying the successful use of NCAs to improve local practice. This study will focus on a single NCA (the National Audit of Inpatient Falls -NAIF 2017) to explore: (i) participants' perspectives on the NCA reports, local feedback characteristics and actions undertaken following the feedback underpinning the effective use of the NCA feedback to improve local practice; (ii) reported changes in local practice following the NCA feedback in England and Wales. METHODS: Front-line staff perspectives were gathered through interviews. An inductive qualitative approach was used. Eighteen participants were purposefully sampled from 7 of the 85 participating hospitals in England and Wales. Analysis was guided by constant comparative techniques. RESULTS: Regarding the NAIF annual report, interviewees valued performance benchmarking with other hospitals, the use of visual representations and the inclusion of case studies and recommendations. Participants stated that feedback should target front-line healthcare professionals, be straightforward and focused, and be delivered through an encouraging and honest discussion. Interviewees highlighted the value of using other relevant data sources alongside NAIF feedback and the importance of continuous data monitoring. Participants reported that engagement of front-line staff in the NAIF and following improvement activities was critical. Leadership, ownership, management support and communication at different organisational levels were perceived as enablers, while staffing level and turnover, and poor quality improvement (QI) skills, were perceived as barriers to improvement. Reported changes in practice included increased awareness and attention to patient safety issues and greater involvement of patients and staff in falls prevention activities. CONCLUSIONS: There is scope to improve the use of NCAs by front-line staff. NCAs should not be seen as isolated interventions but should be fully embedded and integrated into the QI strategic and operational plans of NHS trusts. The use of NCAs could be optimised, but knowledge of them is poor and distributed unevenly across different disciplines. More research is needed to provide guidance on key elements to consider throughout the whole improvement process at different organisational levels.

Validation of the Hendrich II Fall Risk Model: The imperative to reduce modifiable risk factors.

AIM: To validate the psychometrics of the Hendrich II Fall Risk Model (HIIFRM) and identify the prevalence of intrinsic fall risk factors in a diverse, multisite population. BACKGROUND: Injurious inpatient falls are common events, and hospitals have implemented programs to achieve "zero" inpatient falls. METHODS: Retrospective analysis of patient data from electronic health records at nine hospitals that are part of Ascension. Participants were adult inpatients (N = 214,358) consecutively admitted to the study hospitals from January 2016 through December 2018. Fall risk was assessed using the HIIFRM on admission and one time or more per nursing shift. RESULTS: Overall fall rate was 0.29%. At the standard threshold of HIIFRM score ≥ 5, 492 falls and 76,800 non-falls were identified (fall rate 0.36%; HIIFRM specificity 64.07%, sensitivity 78.72%). Area under the receiver operating characteristic curve was 0.765 (standard error 0.008; 95% confidence interval 0.748, 0.781; p < 0.001), indicating moderate accuracy of the HIIFRM to predict falls. At a lower cut-off score of ≥4, an additional 74 falls could have been identified, with an improvement in sensitivity (90.56%) and reduction in specificity (44.43%). CONCLUSION: Analysis of this very large inpatient sample confirmed the strong psychometric characteristics of the HIIFRM. The study also identified a large number of inpatients with multiple fall risk factors (n = 77,292), which are typically not actively managed during hospitalization, leaving patients at risk in the hospital and after discharge. This finding represents an opportunity to reduce injurious falls through the active management of modifiable risk factors.

Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data.

BACKGROUND: Electronic medical records (EMRs) contain a considerable amount of information about patients. The rapid adoption of EMRs and the integration of nursing data into clinical repositories have made large quantities of clinical data available for both clinical practice and research. OBJECTIVE: In this study, we aimed to investigate whether readily available longitudinal EMR data including nursing records could be utilized to compute the risk of inpatient falls and to assess their accuracy compared with existing fall risk assessment tools. METHODS: We used 2 study cohorts from 2 tertiary hospitals, located near Seoul, South Korea, with different EMR systems. The modeling cohort included 14,307 admissions (122,179 hospital days), and the validation cohort comprised 21,172 admissions (175,592 hospital days) from each of 6 nursing units. A probabilistic Bayesian network model was used, and patient data were divided into windows with a length of 24 hours. In addition, data on existing fall risk assessment tools, nursing processes, Korean Patient Classification System groups, and medications and administration data were used as model parameters. Model evaluation metrics were averaged using 10-fold cross-validation. RESULTS: The initial model showed an error rate of 11.7% and a spherical payoff of 0.91 with a c-statistic of 0.96, which represent far superior performance compared with that for the existing fall risk assessment tool (c-statistic=0.69). The cross-site validation revealed an error rate of 4.87% and a spherical payoff of 0.96 with a c-statistic of 0.99 compared with a c-statistic of 0.65 for the existing fall risk assessment tool. The calibration curves for the model displayed more reliable results than those for the fall risk assessment tools alone. In addition, nursing intervention data showed potential contributions to reducing the variance in the fall rate as did the risk factors of individual patients. CONCLUSIONS: A risk prediction model that considers longitudinal EMR data including nursing interventions can improve the ability to identify individual patients likely to fall.

Selecting a theoretical framework to guide a research study of older adults' perceptions and experiences of falling in the hospital.

A paucity of research has explored the older adult's experience of falling in the hospital. Understanding the central concepts associated with a fall while hospitalized is essential for further fall prevention research and practice. The purpose of this paper is to describe the process of selecting a theoretical framework to guide a qualitative study exploring the older adult's experience of falling while hospitalized. An analysis of six established illness self-management theories and models from nursing and psychology was conducted using Walker and Avant's framework for theory analysis. The Health Belief Model was selected as the most appropriate theoretical framework, as it entails concepts applicable to the experience of falling and captures the complexity of the phenomenon of inpatient falls, which is important for nursing.

A retrospective review of fall risk factors in the bone marrow transplant inpatient service.

Purpose The purpose of this study was to compare medications and potential risk factors between patients who experienced a fall during hospitalization compared to those who did not fall while admitted to the Blood and Marrow Transplant inpatient setting at The James Cancer Hospital. Secondary objectives included evaluation of transplant-related disease states and medications in the post-transplant setting that may lead to an increased risk of falls, post-fall variables, and number of tests ordered after a fall. Methods This retrospective, case-control study matched patients in a 2:1 ratio of nonfallers to fallers. Data from The Ohio State University Wexner Medical Center (OSUWMC) reported fall events and patient electronic medical records were utilized. A total of 168 adult Blood and Marrow Transplant inpatients with a hematological malignancy diagnosis were evaluated from 1 January 2010 to 30 September 2012. Results Univariable and multivariable conditional logistic regression models were used to assess the relationship between potential predictor variables of interest and falls. Variables that were found to be significant predictors of falls from the univariable models include age group, incontinence, benzodiazepines, corticosteroids, anticonvulsants and antidepressants, and number of days status-post transplant. When considered for a multivariable model age group, corticosteroids, and a cancer diagnosis of leukemia were significant in the final model. Conclusion Recent medication utilization such as benzodiazepines, anticonvulsants, corticosteroids, and antidepressants placed patients at a higher risk of experiencing a fall. Other significant factors identified from a multivariable analysis found were patients older than age 65, patients with recent corticosteroid administration and a cancer diagnosis of leukemia.

Predictive Factors for Inpatient Falls among Children with Cerebral Palsy.

OBJECTIVE: Inpatient falls are of significant concern. The aim of this prospective study was to determine the predictors of inpatient falls among children with cerebral palsy in a rehabilitation hospital. DESIGN AND METHODS: A total of 93 patients with cerebral palsy were assessed based on history, physical findings, the Selective Motor Control Test, the Gross Motor Functional Classification System, the Berg Balance Scale and the Manual Ability Classification System. Previous history of falls/frequent falls, and any falls which occurred during hospitalization, were recorded. RESULTS: Of all 93 patients, 25 (27%) fell and 68 (73%) did not fall. The mean age of the fallers (6.3±2.0 years) was lower than that of the non-fallers (8.1±3.9 years). Behavioral problems according to the mother's statement (OR 26.454), not being able to maintain a long sitting position (OR 10.807), ability to balance on knees without support (OR 9.810), a history of frequent falls (OR 4.893) and a negative Thomas test (OR 4.192 fold) were found to increase the risk of inpatient falls. CONCLUSIONS: In these children with cerebral palsy, behavioral problems according to the mother's statement, a history of frequent falls, not being able to maintain a long sitting position, a negative Thomas test, and able to balance on knees without support were associated with the risk of inpatient falls. Children with cerebral palsy may experience inpatient falls. Further studies are required in order to develop prevention programs. PRACTICE IMPLICATIONS: For patients diagnosed with cerebral palsy, these results may help identify possible inpatient fallers on hospital admission.

Falls prevention: Identification of predictive fall risk factors.

Patient falls are the most common adverse safety event in hospitals and healthcare facilities nationwide. There are many risk factors associated with inpatient falls such as medications, unsteady gait, alteration in mental status, and environmental hazards. Risk assessment is the primary intervention for falls prevention. This study aims to provide a detailed review of the literature to identify and synthesize research evidence on risk factors that may contribute to patient falls in the adult inpatient hospital setting that are not captured by current fall risk assessment tools. After the identification of those key risk factors not found on the most common fall risk assessment tools, the results of this review will be used to develop a new evidence based fall risk assessment tool.

Nurse staffing and patient outcomes: a longitudinal study on trend and seasonality.

BACKGROUND: Time trends and seasonal patterns have been observed in nurse staffing and nursing-sensitive patient outcomes in recent years. It is unknown whether these changes were associated. METHODS: Quarterly unit-level nursing data in 2004-2012 were extracted from the National Database of Nursing Quality Indicators® (NDNQI®). Units were divided into groups based on patterns of missing data. All variables were aggregated across units within these groups and analyses were conducted at the group level. Patient outcomes included rates of inpatient falls and hospital-acquired pressure ulcers. Staffing variables included total nursing hours per patient days (HPPD) and percent of nursing hours provided by registered nurses (RN skill-mix). Weighted linear mixed models were used to examine the associations between nurse staffing and patient outcomes at trend and seasonal levels. RESULTS: At trend level, both staffing variables were inversely associated with all outcomes (p < 0.001); at seasonal level, total HPPD was inversely associated (higher staffing related to lower event rate) with all outcomes (p < 0.001) while RN skill-mix was positively associated (higher staffing related to higher event rate) with fall rate (p < 0.001) and pressure ulcer rate (p = 0.03). It was found that total HPPD tended to be lower and RN skill-mix tended to be higher in Quarter 1 (January-March) when falls and pressure ulcers were more likely to happen. CONCLUSIONS: By aggregating data across units we were able to detect associations between nurse staffing and patient outcomes at both trend and seasonal levels. More rigorous research is needed to study the underlying mechanism of these associations.

Postoperative falls after total knee arthroplasty in patients with a femoral nerve catheter: can we reduce the incidence?

A femoral nerve catheter (FNC) is often used to minimize pain following total knee arthroplasty (TKA), but complications including inpatient falls, may increase as a result, despite fall prevention protocols. We evaluated the rate of falls in 707 primary TKAs performed with an FNC at a major academic center from May 2009 to September 2012. Despite a formalized fall prevention protocol, we found 19 falls (2.7%). Three patients required further operative intervention. At a rate of 2.7%, postoperative fall is one of the most common complications of TKA at our institution. While pain control may be good with the use of FNCs following primary TKA, improvements in fall prevention strategies or the use of alternative postoperative pain control modalities may need to be considered.