Evaluation of a Patient-Centered Fall-Prevention Tool Kit to Reduce Falls and Injuries: A Nonrandomized Controlled Trial

Implementing falls prevention patient education in hospitals - older people's views on barriers and enablers

BACKGROUND

World falls guidelines recommend that hospitalised older patients receive individualised falls prevention education, yet no studies have sought older people's feedback on how best to deliver falls prevention education in hospitals. The objective of the study was to explore the perspectives of older people and their caregivers about barriers and enablers to implementation of a tailored hospital falls education program.

METHODS

A qualitative descriptive design was used. Three focus groups and 16 semi-structured interviews were conducted. A purposive sample of older people who had previous hospital admissions and caregivers of older people were selected to review a co-designed patient falls education program (the revised Safe Recovery program). They provided feedback on how to implement the program in hospital settings. Data were thematically analysed taking an deductive-inductive approach.

RESULTS

Participants were 37 older people [female n = 24 (64.9%), age range 64 to 89 years] and nine caregivers (female n = 8). The first theme was that the Safe Recovery Program resources were of high quality, enabling strong patient engagement and increased knowledge and awareness about falls prevention in hospitals. The second theme identified practical strategies to enable program delivery in hospital wards. The key enablers identified were: timing of delivery around wellness and the patient's mobility; tailoring messages for each older patient; key staff members being assigned to lead program delivery. Participants recommended that staff assist older patients to set appropriate behavioural goals in relation to preventing falls in hospitals. They also recommended that staff raise older patients' confidence and motivation to take action to reduce the risk of falls. Providing resources in other languages and alternative shorter versions was recommended to enable broad dissemination.

CONCLUSIONS

Older people and their caregivers advised that implementing falls education in hospitals can be enabled by using high quality resources, delivering falls education in a timely manner and personalising the education and support to individual needs.

Re-evaluating the Morse Fall Scale in obstetrics and gynecology wards and determining optimal cut-off scores for enhanced risk assessment: A retrospective survey

OBJECTIVE

This study aims to examine the validity of the MFS by analyzing the electronic medical records on fall risk in obstetrics and gynecology wards and determine the optimal cut-off score of the Morse Fall Scale.

DESIGN

A retrospective survey.

METHODS

The research was conducted in an Obstetrics and Gynecology Hospital and a general hospital. The sample included 136 fall inpatients and 120 no-fall inpatients recruited from January 1st, 2020, to July 10th, 2022. The Morse Fall Scale was analyzed using the gold standard of patients who fell while hospitalized, assessing the area under the Receiver Operating Characteristic curve, sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and Kappa.

RESULTS

At cut-off scores of 40, 45,50, and 55, the area under the Receiver Operating Characteristic curve was 0.772, 0.761, 0.749, and 0.763, respectively. The Youden index was 0.543, 0.521, 0.498, and 0.525, while Kappa values were 0.540, 0.518, 0.490, and 0.515. Sensitivity was 0.735, 0.713, 0.640, and 0.625; specificity was 0.808, 0.808, 0.858, and 0.900. The positive predictive values were 0.813, 0.808, 0.837, and 0.876, and the negative predictive values were 0.729, 0.713, 0.678, and 0.679. Accuracy were 0.770, 0.758, 0.742, and 0.754.

CONCLUSIONS

The Morse Fall Scale demonstrates good predictive performance for assessing fall risk in gynecology and obstetrics wards. The optimal cut-off score is 40.

Visitor Restrictions During the COVID-19 Pandemic and Increased Falls With Harm at a Canadian Hospital: An Exploratory Study

BACKGROUND

Falls with harms (FWH) in hospitalized patients increase costs and lengths of stay. The COVID-19 pandemic has resulted in more FWH. Additionally, the COVID-19 pandemic has resulted in increased patients in isolation with fewer visitors. Their relationship with falls has not been previously studied.

METHODS

This is a retrospective, single-site, 12-month before pandemic-12-month after pandemic, observational study. Multiple logistic regression analysis was used to model FWH outcome and associations with isolation and visitor restrictions.

RESULTS

There were 4369 isolation events and 385 FWH among 22,505 admissions during the study period. Unadjusted analysis demonstrated a FWH risk of 1.33% (95% CI 0.99, 1.67) in those who were placed in isolation compared to 1.80% (95% CI 1.60, 2.00) in those without an isolation event ( χ2 = 4.73, P = 0.03). The FWH risk during the different visitor restriction periods was significantly higher compared to the prepandemic period ( χ2 = 20.81, P < 0.001), ranging from 1.28% (95% CI 1.06, 2.50) in the prepandemic period to 2.03% (95% 1.66, 2.40) with no visitors permitted (phase A) in the pandemic period. After adjusting for potential confounders and selection bias, only phase A visitor restrictions were associated with an increased FWH risk of 0.75% (95% CI 0.32, 1.18) compared to no visitor restrictions.

INTERPRETATION

Our results suggest a moderately strong association between hospitalized patient FWH risk and severe visitor restrictions. This association was muted in phases with even minor allowances for visitation. This represents the first report of the adverse effects of visitor restriction policies on patients' FWH risks.

A Role for Health Literacy in Protecting People With Limited English Proficiency Against Falling: A Retrospective, Cohort Study

OBJECTIVE

To identify risk factors related to falls within the scope of speech-language pathology (SLP) using assessments from the Inpatient Rehabilitation Facility-Patient Assessment Instrument over a 4-month period in 4 inpatient rehabilitation facilities (IRFs).

DESIGN

Observational retrospective cohort study.

SETTING

Four IRFs as part of a larger learning health system.

PARTICIPANTS

Adults aged ≥18 years admitted to the IRFs from October 1, 2022 to February 28, 2023 were included.

INTERVENTION

N/A.

MAIN OUTCOME MEASURES

Occurrence of falls.

RESULTS

Analyses of 631 patient records revealed that the odds of falling were almost 3 times greater in people with limited English proficiency than in English speakers (odds ratio [OR], 2.92; 95% confidence interval [CI], 1.09-6.85). People with limited English proficiency who reported poorer health literacy had 4 times higher odds of falling (OR, 3.90; 95% CI, 1.13-13.44) than English speakers who reported adequate health literacy. People with limited English proficiency who reported adequate health literacy had the same risk of falling as English speakers (OR, 0.98; 95% CI, 0.16-6.12), suggesting the protective role of health literacy for people with limited English proficiency.

CONCLUSIONS

Language barriers have a significant effect on falls among patients in IRFs. SLPs improving health literacy and providing language support may play a crucial role in mitigating fall risk, thereby enhancing patient safety and outcomes.

Interprofessional approach to fall prevention in hospital care

OBJECTIVE

To understand the perception and experience of health professionals regarding fall prevention practices in hospital inpatient units.

METHOD

This is a qualitative exploratory and descriptive case study based on the Canadian framework of interprofessional competences. Data was collected from two focus groups, with different health professionals in each group, and thematic content analysis was used.

RESULTS

Five categories were drawn up which showed intense convergence between the participants of the two focus groups, within the context of fall prevention practices: communication between professionals and patients/carers for fall prevention, interprofessional communication for fall prevention, clarification of roles for fall prevention, health education about risk and fall prevention and continuing education for fall prevention.

CONCLUSION

Teamwork and collaborative practice are important for achieving good results in the prevention of falls in hospital care, but for this to happen, health professionals need to acquire the necessary competences for collaborative action.

Impact of COVID-19 on Clinical Education for Occupational Therapy Students: A 3-Year Longitudinal Study on Fall Risk Prediction Ability

This study aimed to examine if there were disadvantages to student learning and application when clinical education is canceled due to factors such as COVID-19 pandemic that occurred between 2020-2021. Forty occupational therapy students participated in the study, and they were classified into two groups: those with clinical education (clinical education group) and those without clinical education (inexperienced group). TP-KYT, which assesses a client's ability to predict risk related to falls, was administered in the first and final year. The inexperienced group showed less ability to predict risk related to client falls than the clinical education group.

Root cause analysis and strategies for reducing falls among inpatients in healthcare facilities: A narrative review

Background and Aims

Root Cause Analysis (RCA) is a systematic process which can be applied to analyze fall incidences in reactive manner to identify contributing factors and propose actions for preventing future falls. To better understand cause of falls and effective interventions for their reduction we conducted a narrative review of RCA and Strategies for Reducing Falls among Inpatients in Healthcare Facilities.

Methods

In this narrative review, databases including Scopus, ISI Web of Science, Cochrane, and PubMed were searched to obtain the related literature published. Databases were searched from January 2005 until the end of March 2023. The Joanna Briggs Institute (JBI) tool was used for quality assessment of articles. To analyze the data, a five-stage framework analysis method was utilized.

Results

Seven articles that fulfilled the inclusion criteria were identified for this study. All of the selected studies were interventional in nature and employed the RCA method to ascertain the underlying causes of inpatient falls. The root causes discovered for falls involved patient-related factors (37.5%), environmental factors (25%), organizational and process factors (19.6%), staff and communication factors (17.9%). Strategies to reduce falls involved environmental measures and physical protection (29.4%), identifying, and displaying the causes of risk (23.5%), education and culturalization (21.6%), standard fall risk assessment tool (13.7%), and supervision and monitoring (11.8%).

Conclusion

the findings identify the root causes of falls in inpatient units and provide guidance for successful action plan execution. Additionally, it emphasizes the importance of considering the unique characteristics of healthcare organizations and adapting interventions accordingly for effectiveness in different settings.

'You Just Struggle on Your Own': Exploring Older People and Their Caregivers' Perspectives About Falls Prevention Education in Hospitals

BACKGROUND

Providing older patients with an opportunity to participate in individualised falls preventive education, has been shown to reduce hospital falls. However, few studies have explored older peoples' perspectives of hospital falls prevention education. This study aimed to explore older people and their caregivers' knowledge and awareness about hospital falls prevention, including their reflections on the education they received when hospitalised.

METHODS

A qualitative, exploratory study with focus groups and semistructured interviews was conducted. Participants were a purposively selected sample of community-dwelling older people (65+ years) admitted to a hospital in the past 5 years and caregivers of older people. Data were thematically analysed using deductive and inductive approaches, and a capability-opportunity-motivation-behaviour model was applied to understand key determinants of implementing falls education for hospitalised older people.

RESULTS

Participants' [n = 46 (older people n = 37, age range 60-89 years), caregivers n = 9] feedback identified five themes: distress and disempowerment if the participant did have a hospital fall or nearly fell, anxiety and uncertainty about what behaviour was required while in hospital, insufficient and inconsistent falls prevention education, inadequate communication and underlying attitudes of ageism. Applying a behaviour change model suggested that older people and their caregivers did not develop falls prevention knowledge, awareness or motivation to engage in falls prevention behaviour. Older people were also provided with limited opportunities to engage in falls preventive behaviour while in hospital.

CONCLUSION

Older people in our study received sporadic education about falls prevention during their hospital admissions which did not raise their awareness and knowledge about the risk of falls or their capability to engage in safe falls preventive behaviour. Conflicting messages may result in older people feeling confused and anxious about staying safe in hospital.

A novel score for predicting falls in community-dwelling older people: a derivation and validation study

BACKGROUND

Early detection of patients at risk of falling is crucial. This study was designed to develop and internally validate a novel risk score to classify patients at risk of falls.

METHODS

A total of 334 older people from a fall clinic in a medical center were selected. Least absolute shrinkage and selection operator (LASSO) regression was used to minimize the potential concatenation of variables measured from the same patient and the overfitting of variables. A logistic regression model for 1-year fall prediction was developed for the entire dataset using newly identified relevant variables. Model performance was evaluated using the bootstrap method, which included measures of overall predictive performance, discrimination, and calibration. To streamline the assessment process, a scoring system for predicting 1-year fall risk was created.

RESULTS

We developed a new model for predicting 1-year falls, which included the FRQ-Q1, FRQ-Q3, and single-leg standing time (left foot). After internal validation, the model showed good discrimination (C statistic, 0.803 [95% CI 0.749-0.857]) and overall accuracy (Brier score, 0.146). Compared to another model that used the total FRQ score instead, the new model showed better continuous net reclassification improvement (NRI) [0.468 (0.314-0.622), P < 0.01], categorical NRI [0.507 (0.291-0.724), P < 0.01; cutoff: 0.200-0.800], and integrated discrimination [0.205 (0.147-0.262), P < 0.01]. The variables in the new model were subsequently incorporated into a risk score. The discriminatory ability of the scoring system was similar (C statistic, 0.809; 95% CI, 0.756-0.861; optimism-corrected C statistic, 0.808) to that of the logistic regression model at internal bootstrap validation.

CONCLUSIONS

This study resulted in the development and internal verification of a scoring system to classify 334 patients at risk for falls. The newly developed score demonstrated greater accuracy in predicting falls in elderly people than did the Timed Up and Go test and the 30-Second Chair Sit-Stand test. Additionally, the scale demonstrated superior clinical validity for identifying fall risk.

Characteristics and demography of low energy fall injuries in patients > 60 years of age: a population-based analysis over a decade with focus on undertriage

BACKGROUND

An increasing group of elderly patients is admitted after low energy falls. Several studies have shown that this patient group tends to be severely injured and is often undertriaged.

METHODS

Patients > 60 years with low energy fall (< 1 m) as mechanism of injury were identified from the Stavanger University Hospital trauma registry. The study period was between 01.01.11 and 31.12.20. Patient and injury variables as well as clinical outcome were described. Undertriage was defined as patients with a major trauma, i.e., Injury Severity Score (ISS) > 15, without trauma team activation. Statistical analysis was performed using the Chi-squared test for categorical variables and the Mann-Whitney U test for continuous variables.

RESULTS

Over the 10-year study period, 388 patients > 60 years with low energy fall as mechanism of injury were identified. Median age was 78 years (IQR 68-86), and 53% were males. The location of major injury was head injury in 41% of the patients, lower extremities in 19%, and thoracic injuries in 10%. Thirty-day mortality was 13%. Fifty percent were discharged to home, 31% to nursing home, 9% in hospital mortality, and the remaining 10% were transferred to other hospitals or rehabilitation facilities. Ninety patients had major trauma, and the undertriage was 48% (95% confidence interval, 38 to 58%).

CONCLUSIONS

Patients aged > 60 years with low energy falls are dominated by head injuries, and the 30-day mortality is 13%. Patients with major trauma are undertriaged in half the cases mandating increased awareness of this patient group.

Relationship Between Unit Characteristics and Fall Incidence: A Cross-Sectional Survey Using Administrative Data in Japan

BACKGROUND

Falls are the most frequent accident experienced by inpatients in hospitals. As falls affect patient outcomes, high fall risk factors should be studied to prevent falls and improve patient safety. However, the relationship between hospital unit characteristics and fall risk has never been assessed.

PURPOSE

This study was designed to identify the unit characteristics significantly related to fall risk.

METHODS

A cross-sectional study was conducted on the medical records of patients hospitalized in a Japanese academic hospital between 2018 and 2019. This study quantified unit activities and utilized Diagnosis Procedure Combination data to examine unit characteristics related to falls based on unit day.

RESULTS

Data on 16,307 patients were included in the analysis, and 355 unit days were certified as fall events. Based on patient condition and medical treatment, the results identified antineoplastic injections, radiation therapy, aseptic treatment room, and functional status of partly assisted transfers, meals, and oral care as unit characteristics associated with increased fall events. Decreased nursing time per patient at night (odds ratio [OR] = 0.75, p = .04) and higher numbers of partially assisted transfer patients were also identified as unit characteristics associated with higher fall incidence rates (OR = 5.56, p = .01).

CONCLUSIONS

The results of this study are expected to assist nurses to predict falls based on unit characteristics; reducing nursing time in the units was found to be a factor associated with higher fall risk. Nurse managers must understand the unit-related fall risk factors, appropriately assign nurse staffing numbers, and demonstrate nursing leadership to prevent falls in their units.

Patient and family engagement interventions for hospitalized patient safety: A scoping review

AIM

To summarize existing studies that focused on improving hospitalized patient safety through patient and family engagement interventions to identify priorities and gaps.

DESIGN

A scoping review.

METHODS

Eight databases and citations of important reviews were searched on 30 September 2022. Two researchers independently screened the records. Then, two researchers extracted the data and cross-checked. The results were synthesized narratively, and a comparison was performed for studies from China and those from other countries.

RESULTS

Ninety-eight studies were included. The results indicated that patient and family engagement interventions were applied to decrease the incidence of patient safety incidents, and to improve the healthcare providers' and patients' knowledge, attitude or practice of patient safety. Most studies only engaged patients and families at the direct care level, and the engagement strategies at the organization and health system levels were insufficient. For stakeholders, many studies failed to consider patients' perspectives in intervention design and report taking staff training as a supportive strategy. Healthcare providers, especially nurses, were the main implementers of current interventions. Certain differences were observed between studies from China and those from other countries in the above aspects.

CONCLUSIONS

International interest in engaging patient and family for patient safety is growing. Future studies should enhance the patient and family engagement as a partner in various patient safety at the direct care level, and further explore the engagement at the organization and health system levels.

RELEVANCE TO CLINICAL PRACTICE

Nurses, as the main formal caregivers for patients, should promote patient and family engagement in patient safety, especially at direct care level. Nurse should also incorporate the perspectives of patients in the design and implementation of interventions.

REPORTING METHOD

PRISMA-ScR Checklist.

Fall Tailoring Interventions for Patient Safety Brazil Program: an evaluability study in a teaching hospital

OBJECTIVES

to present the theoretical model, logic model, and the analysis and judgment matrix of the Fall TIPS Brazil Program.

METHODS

a qualitative, participatory research approach, in the form of an evaluability study, encompassing the phases (1) problem analysis; (2) program design, development, and adaptation to the Brazilian context; (3) program dissemination. Data were collected through document analysis and workshops.

RESULTS

through document analysis, workshops with stakeholders from the participating institution, and validation with key informants, it was possible to identify the program's objectives, expected outcomes, and the target audience. This allowed the construction of theoretical and logic models and, through evaluative questions, the identification of indicators for the evaluation of the Fall TIPS Brazil Program.

FINAL CONSIDERATIONS

this study has provided insights into the Fall TIPS program, the topic of hospital fall prevention, and the proposed models and indicators can be employed in the implementation and future evaluative processes of the program.

Interactions that support older inpatients with cognitive impairments to engage with falls prevention in hospitals: An ethnographic study

AIMS

To explore the nature of interactions that enable older inpatients with cognitive impairments to engage with hospital staff on falls prevention.

DESIGN

Ethnographic study.

METHODS

Ethnographic observations on orthopaedic and older person wards in English hospitals (251.25 h) and semi-structured qualitative interviews with 50 staff, 28 patients and three carers. Findings were analysed using a framework approach.

RESULTS

Interactions were often informal and personalised. Staff qualities that supported engagement in falls prevention included the ability to empathise and negotiate, taking patient perspectives into account. Although registered nurses had limited time for this, families/carers and other staff, including engagement workers, did so and passed information to nurses.

CONCLUSIONS

Some older inpatients with cognitive impairments engaged with staff on falls prevention. Engagement enabled them to express their needs and collaborate, to an extent, on falls prevention activities. To support this, we recommend wider adoption in hospitals of engagement workers and developing the relational skills that underpin engagement in training programmes for patient-facing staff.

IMPLICATIONS FOR PROFESSION AND PATIENT CARE

Interactions that support cognitively impaired inpatients to engage in falls prevention can involve not only nurses, but also families/carers and non-nursing staff, with potential to reduce pressures on busy nurses and improve patient safety.

REPORTING METHOD

The paper adheres to EQUATOR guidelines, Standards for Reporting Qualitative Research.

PATIENT OR PUBLIC CONTRIBUTION

Patient/public contributors were involved in study design, evaluation and data analysis. They co-authored this manuscript.

Digital health intervention on patient safety for children and parents: A scoping review

AIM

To explore digital health interventions on patient safety for children and their parents.

DESIGN

A scoping review.

METHODS

The PCC 'Participants, Concepts, and Contexts' guided the selection of studies that focused on children under 19 years of age or their parents, patient safety interventions for children, and digital health technology for patient safety interventions. This study was conducted using the Arksey and O'Malley framework's five steps. We reported the review according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews Checklist.

DATA SOURCES

PubMed, CINAHL, Embase, Web of Science, and Cochrane were searched for articles published up to November 2022.

RESULTS

A total of 13 articles were included and categorized according to the following criteria to describe the results: intervention characteristics, type of digital technology, and outcome characteristics. Regarding intervention characteristics, we identified two categories, prevention and risk management. Additionally, we identified four types of digital technology, mobile applications, web-based technologies, computer kiosks and electronic health records. Finally, in studies focussing on child safety, parental safety behaviours were used to assess injury risk or detect changes related to prevention.

CONCLUSION

Patient safety interventions provided through appropriate digital technologies should be developed to enhance continuum of care for children from hospitalization to home after discharge.

IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE

Digital health interventions can bolster the role of healthcare providers in patient safety in and out of hospitals, thus improving children's safety and quality of care.

IMPACT

What problem did the study address? Although the various advantages of digital health technology have been demonstrated, the potential role of digital technology in patient safety interventions for children has not been explored. What were the main finding? Preventive patient safety interventions and risk management for children have been developed. Where and on whom will the research have an impact? Digital health interventions on patient safety can improve children's safety and quality of care by promoting non-face-to-face engagement of children and parents after discharge and expanding healthcare providers' roles.

TRIAL AND PROTOCOL REGISTRATION

Registered on the Open Science Framework (https://osf.io/dkvst).

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

The Impact of Patient Education on Inpatient Fall Risk: A Review

» Patient falls in the hospital are one of the leading sentinel events identified by the Joint Commission.» Hospital falls affect orthopaedic patients of older age at higher rates, and up to 34% of falls lead to injury such as fractures.» Patients often misperceive their fall risk, and modalities aimed at educating patients to address the incongruence between perceived and actual fall risk significantly reduce fall rate and injurious fall rate.» Adequate communication with patients and their families with the goal of educating them may diminish the physical, psychological, and emotional detriment to orthopaedic patients.

Retrospective Investigation and Research on Fall Events Among Hospitalized Patients in the Rehabilitation Department

Objective

We investigated the clinical characteristics, fall outcomes, and related factors of falls in patients who were hospitalized in the rehabilitation department, and explored strategies to reduce the incidence of falls and prevent falls in patients.

Methods

Data from 60 patients who fell in the rehabilitation department between 2016 and 2021 were analyzed for clinical characteristics, associated factors, incidence of falls, injuries, and patient demographics. Under the random stratified sampling method, 60 patients who did not fall during the same period were selected as the control group, and relevant data was collected. Measurement data were compared using an independent sample t-test. Enumeration data were compared using chi-squared (χ2) test was employed to compare these data between the two groups. Non-parametric data were analyzed using the Mann-Whitney U-test. Factors potentially influencing falls were scrutinized through both univariate and binary logistic regression analyses.

Results

The median annual incidence of falls among patients who were hospitalized in the rehabilitation department was 0.04%, while the overall fall injury rate was 60%. Falls were most prevalent within 30 days of hospitalization (71.67%). The most common fall-related condition was craniocerebral disease (83.33%). The incidents of falls location of fall were mainly reported in nearby areas of rehabilitation ward (70%). Most accidents occurred between 7:00 a.m.-12:00 p.m. and 3:01 p.m.-6:00 p.m. (63.33%), and dyskinesia was the most common cause of falls (71.67%). There were 39 patients (65.00%) with Barthel Index (BI) scores ranging between 40-60.

Conclusion

Patients in the rehabilitation department had a greater incidence of falls and fall injuries. Within 30 days of admission, patients with moderately dependent craniocerebral disorders and dyskinesia frequently experienced falls during typical daytime shifts in areas characterized by endemic conditions.

Improved accuracy and efficiency of primary care fall risk screening of older adults using a machine learning approach

BACKGROUND

While many falls are preventable, they remain a leading cause of injury and death in older adults. Primary care clinics largely rely on screening questionnaires to identify people at risk of falls. Limitations of standard fall risk screening questionnaires include suboptimal accuracy, missing data, and non-standard formats, which hinder early identification of risk and prevention of fall injury. We used machine learning methods to develop and evaluate electronic health record (EHR)-based tools to identify older adults at risk of fall-related injuries in a primary care population and compared this approach to standard fall screening questionnaires.

METHODS

Using patient-level clinical data from an integrated healthcare system consisting of 16-member institutions, we conducted a case-control study to develop and evaluate prediction models for fall-related injuries in older adults. Questionnaire-derived prediction with three questions from a commonly used fall risk screening tool was evaluated. We then developed four temporal machine learning models using routinely available longitudinal EHR data to predict the future risk of fall injury. We also developed a fall injury-prevention clinical decision support (CDS) implementation prototype to link preventative interventions to patient-specific fall injury risk factors.

RESULTS

Questionnaire-based risk screening achieved area under the receiver operating characteristic curve (AUC) up to 0.59 with 23% to 33% similarity for each pair of three fall injury screening questions. EHR-based machine learning risk screening showed significantly improved performance (best AUROC = 0.76), with similar prediction performance between 6-month and one-year prediction models.

CONCLUSIONS

The current method of questionnaire-based fall risk screening of older adults is suboptimal with redundant items, inadequate precision, and no linkage to prevention. A machine learning fall injury prediction method can accurately predict risk with superior sensitivity while freeing up clinical time for initiating personalized fall prevention interventions. The developed algorithm and data science pipeline can impact routine primary care fall prevention practice.

Practices of falls risk assessment and prevention in acute hospital settings: a realist investigation

Background

Falls are the most common safety incident reported by acute hospitals. The National Institute of Health and Care Excellence recommends multifactorial falls risk assessment and tailored interventions, but implementation is variable.

Aim

To determine how and in what contexts multifactorial falls risk assessment and tailored interventions are used in acute National Health Service hospitals in England.

Design

Realist review and multisite case study. (1) Systematic searches to identify stakeholders' theories, tested using empirical data from primary studies. Review of falls prevention policies of acute Trusts. (2) Theory testing and refinement through observation, staff interviews (n = 50), patient and carer interviews (n = 31) and record review (n = 60).

Setting

Three Trusts, one orthopaedic and one older person ward in each.

Results

Seventy-eight studies were used for theory construction and 50 for theory testing. Four theories were explored. (1) Leadership: wards had falls link practitioners but authority to allocate resources for falls prevention resided with senior nurses. (2) Shared responsibility: a key falls prevention strategy was patient supervision. This fell to nursing staff, constraining the extent to which responsibility for falls prevention could be shared. (3) Facilitation: assessments were consistently documented but workload pressures could reduce this to a tick-box exercise. Assessment items varied. While individual patient risk factors were identified, patients were categorised as high or low risk to determine who should receive supervision. (4) Patient participation: nursing staff lacked time to explain to patients their falls risks or how to prevent themselves from falling, although other staff could do so. Sensitive communication could prevent patients taking actions that increase their risk of falling.

Limitations

Within the realist review, we completed synthesis for only two theories. We could not access patient records before observations, preventing assessment of whether care plans were enacted.

Conclusions

(1) Leadership: There should be a clear distinction between senior nurses' roles and falls link practitioners in relation to falls prevention; (2) shared responsibility: Trusts should consider how processes and systems, including the electronic health record, can be revised to better support a multidisciplinary approach, and alternatives to patient supervision should be considered; (3) facilitation: Trusts should consider how to reduce documentation burden and avoid tick-box responses, and ensure items included in the falls risk assessment tools align with guidance. Falls risk assessment tools and falls care plans should be presented as tools to support practice, rather than something to be audited; (4) patient participation: Trusts should consider how they can ensure patients receive individualised information about risks and preventing falls and provide staff with guidance on brief but sensitive ways to talk with patients to reduce the likelihood of actions that increase their risk of falling.

Future work

(1) Development and evaluation of interventions to support multidisciplinary teams to undertake, and involve patients in, multifactorial falls risk assessment and selection and delivery of tailored interventions; (2) mixed method and economic evaluations of patient supervision; (3) evaluation of engagement support workers, volunteers and/or carers to support falls prevention. Research should include those with cognitive impairment and patients who do not speak English.

Study registration

This study is registered as PROSPERO CRD42020184458.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR129488) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 5. See the NIHR Funding and Awards website for further award information.

Development and Usability Testing of an Exercise-Based Primary Care Fall Prevention Clinical Decision Support Tool

For older patients, falls are the leading cause offatal and nonfatal injuries. Guidelines recommend that at-risk older adults are referred to appropriate fall-prevention exercise programs, but many do not receive support for fall-risk management in the primary care setting. Advances in health information technology may be able to address this gap. This article describes the development and usability testing of a clinical decision support (CDS) tool for fall prevention exercise. Using rapid qualitative analysis and human-centered design, our team developed and tested the usability of our CDS prototype with primary care team members. Across 31 Health-Information Technology Usability Evaluation Scale surveys, our CDS prototype received a median score of 5.0, mean (SD) of 4.5 (0.8), and a range of 4.1-4.9. This study highlights the features and usability offall prevention CDS for helping primary care providers deliver patient-centeredfall prevention care.

Preventing hospital falls: feasibility of care workforce redesign to optimise patient falls education

OBJECTIVE

To examine the feasibility of using allied health assistants to deliver patient falls prevention education within 48 h after hospital admission.

DESIGN AND SETTING

Feasibility study with hospital patients randomly allocated to usual care or usual care plus additional patient falls prevention education delivered by supervised allied health assistants using an evidence-based scripted conversation and educational pamphlet.

PARTICIPANTS

(i) allied health assistants and (ii) patients admitted to participating hospital wards over a 20-week period.

OUTCOMES

(i) feasibility of allied health assistant delivery of patient education; (ii) hospital falls per 1,000 bed days; (iii) injurious falls; (iv) number of falls requiring transfer to an acute medical facility.

RESULTS

541 patients participated (median age 81 years); 270 control group and 271 experimental group. Allied health assistants (n = 12) delivered scripted education sessions to 254 patients in the experimental group, 97% within 24 h after admission. There were 32 falls in the control group and 22 in the experimental group. The falls rate was 8.07 falls per 1,000 bed days in the control group and 5.69 falls per 1,000 bed days for the experimental group (incidence rate ratio = 0.66 (95% CI 0.32, 1.36; P = 0.26)). There were 2.02 injurious falls per 1,000 bed days for the control group and 1.03 for the experimental group. Nine falls (7 control, 2 experimental) required transfer to an acute facility. No adverse events were attributable to the experimental group intervention.

CONCLUSIONS

It is feasible and of benefit to supplement usual care with patient education delivered by allied health assistants.

The Effectiveness of Remote Video Monitoring on Fall Prevention and Nurses' Acceptance

BACKGROUND

The use of remote visual monitoring (RVM) technology as a "telesitter" in hospitals can reduce falls and increase the efficiency of patient observation.

PURPOSE

This study aimed to examine RVM effectiveness as a strategy to decrease patient falls and investigate nurses' acceptance and perceived usefulness of RVM technology.

METHODS

Remote visual monitoring was implemented within a health system in the Southeastern United States. Falls data 6 months prior to and postimplementation were analyzed, and 106 nurses completed a survey evaluating their acceptance of the RVM technology.

RESULTS

There was a significant 39.15% reduction in falls with injury ( P = .006), and 70.6% of the RVM redirections were successful. Nurses' acceptance and perceived usefulness of RVM were moderate.

CONCLUSION

Implementing RVM has the potential to enhance patient safety by reducing falls with injuries and is considered acceptable and useful by nurses.

Impact of a Decision Support System on Fall-Prevention Nursing Practices

OBJECTIVES

The aim of this study was to develop a computerized decision support system (CDSS) that could automatically calculate the risk of falls using electronic medical record data and provide evidence-based fall-prevention recommendations based on risk factors. Furthermore, we analyzed the usability and effect of the system on fall-prevention nursing practices.

METHODS

A computerized fall-prevention system was developed according to the system development life cycle, and implemented between March and August 2019 in a single medical unit with a high prevalence of falls. The usability was evaluated 1 month after CDSS implementation. In terms of time and frequency, changes in fall-prevention nursing practices were analyzed using survey data and nursing documentation, respectively. Finally, the incidence of falls before and after system implementation was compared to examine the clinical effectiveness of the CDSS.

RESULTS

According to the usability test, the average ease of learning score (5.083 of 7) was the highest among 4 dimensions. The time spent engaged in fall-prevention nursing care per patient per shift increased, particularly for nursing diagnoses and planning. Moreover, the mean frequency of daily documented fall-prevention interventions per patient also increased. Particularly, nursing statements related to nonspecific interventions such as environmental modifications increased. However, the incidence of falls did not decrease after implementation of the CDSS.

CONCLUSIONS

Although adoption of the computerized system increased the time spent and number of records created in terms of fall-prevention practices in nurses, no improvement in clinical outcomes was observed, particularly in terms of fall rate reduction.

Development and evaluation of a simple predictive model for falls in acute care setting

AIMS AND OBJECTIVES

To develop a simple and reliable assessment tool for predicting falls in acute care settings.

BACKGROUND

Falling injures patients, lengthens hospital stay and leads to the wastage of financial and medical resources. Although there are many potential predictors for falls, a simple and reliable assessment tool is practically necessary in acute care settings.

DESIGN

A retrospective cohort study.

METHODS

The current study was conducted for participants who were admitted to a teaching hospital in Japan. Fall risk was assessed by the modified Japanese Nursing Association Fall Risk Assessment Tool consisting of 50 variables. To create a more convenient model, variables were first limited to 26 variables and then selected by stepwise logistic regression analysis. Models were derived and validated by dividing the whole dataset into a 7:3 ratio. Sensitivity, specificity, and area under the curve for the receiver-operating characteristic curve were evaluated. This study was conducted according to the STROBE guideline.

RESULTS

Six variables including age > 65 years, impaired extremities, muscle weakness, requiring mobility assistance, unstable gait and psychotropics were chosen in a stepwise selection. A model using these six variables with a cut-off point of 2 with one point for each item, was developed. Sensitivity and specificity >70% and area under the curve >.78 were observed in the validation dataset.

CONCLUSIONS

We developed a simple and reliable six-item model to predict patients at high risk of falling in acute care settings.

RELEVANCE TO CLINICAL PRACTICE

The model has also been verified to perform well with non-random partitioning by time and future research is expected to make it useful in acute care settings and clinical practice.

PATIENT OR PUBLIC CONTRIBUTION

Patients participated in the study on an opt-out basis, contributing to the development of a simple predictive model for fall prevention during hospitalisation that can be shared with medical staff and patients in the future.

Outpatient Oncology Fall Risk: A Quality Improvement Project

Introduction

Patients receiving cancer treatment are at high risk for falls. No current guidelines or standards of care exist for assessment and prevention of outpatient oncology falls. This quality improvement project's purpose was to 1) describe and evaluate outpatient oncology falls data to determine root cause(s), and develop, implement, and evaluate intervention strategies for future policy refinement, and 2) compare fall rates pre/post implementation of a system-wide Ambulatory Fall Risk Bundle.

Methods

Retrospective data were used to describe and categorize fall incidence for the University of Kansas Cancer Center over 12 months. Further analyses were conducted to describe fall rates per 10,000 kept appointments pre/post implementation of an Ambulatory Fall Risk Bundle protocol. Semi-structured interviews were conducted with medical assistants and nurse managers to evaluate the initiative's impact, staff satisfaction, and recommendations for refinement.

Results

The initial 12-month assessment yielded 58 patient falls retained for further analyses. Most patients were receiving chemotherapy (46, 79%). Common contributing symptoms included dizziness/ faintness and weakness (25, 43%). Tripping/falling over a hazard (12, 24%) and falls during transfer (10, 5.8%) also were cited. Subsequent analyses of fall rates indicated no change. Recommendations resulting from the qualitative interviews included: orthostatic vital sign protocol implementation, redesign of the electronic medical record fall risk alert, stakeholder involvement in protocol development, staff training, and related patient education strategies, and the procurement of additional assistive devices/equipment.

Conclusions

System-related policy and culture change, investment in physical and human resource enhancements, and evidence-based protocols are needed to improve outpatient oncology fall rates.

Time-Varying Hazard of Patient Falls in Hospital: A Retrospective Case-Control Study

This study aims to evaluate the association between patient falls and relevant factors and to quantify their effect on fall risk. This is a retrospective case-control study using the secondary data collected from a tertiary general hospital. Study subjects were 450 patients who were admitted to the hospital between January 2016 and December 2020. The prevalence of falls was associated with the fall risk level by the Morse Fall Scale (MFS) and individual status at admission including history of admission, dizziness, sleep disorder, bowel dysfunction, and urinary incontinence. The odds ratios of patient falls were higher in the low-risk group by the MFS score (odds ratio (OR) = 2.61, p < 0.001) and the high-risk group (OR = 5.51, p < 0.001) compared to the no-risk group. The hazard ratio of patient falls was higher in the high-risk group by the MFS score (hazard ratio (HR) = 3.85, p < 0.001). The MFS had a significant explanatory power to predict fall risk. Sleep disorder and urinary incontinence were the significant factors influencing patient falls.

Experience and Hospital Context Influence Fall Prevention Practice by Physical Therapists: A Survey Study

BACKGROUND

Falls in and following hospitalization are common and problematic. Little is understood about the factors that impede or promote effective implementation of fall prevention practices.

PURPOSE AND RELEVANCE

Physical therapists are commonly consulted for acute care patients at risk for falling. The purpose of this study is to understand therapist perceptions of their effectiveness in fall prevention and to explore the impact of contextual factors on practice patterns to prevent falls surrounding hospitalization.

METHODS

Survey questions were tailored to the constructs of hospital culture, structural characteristics, networks and communications, and implementation climate, in addition to inquiries regarding practice patterns and attitudes/beliefs.

RESULTS

Overall, 179 surveys were analyzed. Most therapists (n = 135, 75.4%) affirmed their hospital prioritizes best practices for fall prevention, although fewer agreed that therapists other than themselves provide optimal fall prevention intervention (n = 105, 58.7%). Less practice experience was associated with greater odds of affirming that contextual factors influence fall prevention practice (odds ratio 3.90, p < .001). Respondents who agreed that their hospital system prioritizes best practices for fall prevention had 14 times the odds of believing that their system prioritizes making improvements ( p = .002).

CONCLUSIONS/IMPLICATIONS

As experience influences fall prevention practice, quality assurance and improvement initiatives should be used to ensure minimum specifications of practice.

Exploring variation in implementation of multifactorial falls risk assessment and tailored interventions: a realist review

BACKGROUND

Falls are the most common safety incident reported by acute hospitals. In England national guidance recommends delivery of a multifactorial falls risk assessment (MFRA) and interventions tailored to address individual falls risk factors. However, there is variation in how these practices are implemented. This study aimed to explore the variation by examining what supports or constrains delivery of MFRAs and tailored interventions in acute hospitals.

METHODS

A realist review of literature was conducted with searches completed in three stages: (1) to construct hypotheses in the form of Context, Mechanism, Outcome configurations (CMOc) about how MFRAs and interventions are delivered, (2) to scope the breadth and depth of evidence available in Embase to test the CMOcs, and (3) following prioritisation of CMOcs, to refine search strategies for use in multiple databases. Citations were managed in EndNote; titles, abstracts, and full texts were screened, with 10% independently screened by two reviewers.

RESULTS

Two CMOcs were prioritised for testing labelled: Facilitation via MFRA tools, and Patient Participation in interventions. Analysis indicated that MFRA tools can prompt action, but the number and type of falls risk factors included in tools differ across organisations leading to variation in practice. Furthermore, the extent to which tools work as prompts is influenced by complex ward conditions such as changes in patient condition, bed swaps, and availability of falls prevention interventions. Patient participation in falls prevention interventions is more likely where patient directed messaging takes individual circumstances into account, e.g., not wanting to disturb nurses by using the call bell. However, interactions that elicit individual circumstances can be resource intensive and patients with cognitive impairment may not be able to participate despite appropriately directed messaging.

CONCLUSIONS

Organisations should consider how tools can be developed in ways that better support consistent and comprehensive identification of patients' individual falls risk factors and the complex ward conditions that can disrupt how tools work as facilitators. Ward staff should be supported to deliver patient directed messaging that is informed by their individual circumstances to encourage participation in falls prevention interventions, where appropriate.

TRIAL REGISTRATION

PROSPERO: CRD42020184458.

The effects of computerised decision support systems on nursing and allied health professional performance and patient outcomes: a systematic review and user contextualisation

Background

Computerised decision support systems (CDSS) are widely used by nurses and allied health professionals but their effect on clinical performance and patient outcomes is uncertain.

Objectives

Evaluate the effects of clinical decision support systems use on nurses', midwives' and allied health professionals' performance and patient outcomes and sense-check the results with developers and users.

Eligibility criteria

Comparative studies (randomised controlled trials (RCTs), non-randomised trials, controlled before-and-after (CBA) studies, interrupted time series (ITS) and repeated measures studies comparing) of CDSS versus usual care from nurses, midwives or other allied health professionals.

Information sources

Nineteen bibliographic databases searched October 2019 and February 2021.

Risk of bias

Assessed using structured risk of bias guidelines; almost all included studies were at high risk of bias.

Synthesis of results

Heterogeneity between interventions and outcomes necessitated narrative synthesis and grouping by: similarity in focus or CDSS-type, targeted health professionals, patient group, outcomes reported and study design.

Included studies

Of 36,106 initial records, 262 studies were assessed for eligibility, with 35 included: 28 RCTs (80%), 3 CBA studies (8.6%), 3 ITS (8.6%) and 1 non-randomised trial, a total of 1318 health professionals and 67,595 patient participants. Few studies were multi-site and most focused on decision-making by nurses (71%) or paramedics (5.7%). Standalone, computer-based CDSS featured in 88.7% of the studies; only 8.6% of the studies involved 'smart' mobile or handheld technology. Care processes - including adherence to guidance - were positively influenced in 47% of the measures adopted. For example, nurses' adherence to hand disinfection guidance, insulin dosing, on-time blood sampling, and documenting care were improved if they used CDSS. Patient care outcomes were statistically - if not always clinically - significantly improved in 40.7% of indicators. For example, lower numbers of falls and pressure ulcers, better glycaemic control, screening of malnutrition and obesity, and accurate triaging were features of professionals using CDSS compared to those who were not.

Evidence limitations

Allied health professionals (AHPs) were underrepresented compared to nurses; systems, studies and outcomes were heterogeneous, preventing statistical aggregation; very wide confidence intervals around effects meant clinical significance was questionable; decision and implementation theory that would have helped interpret effects - including null effects - was largely absent; economic data were scant and diverse, preventing estimation of overall cost-effectiveness.

Interpretation

CDSS can positively influence selected aspects of nurses', midwives' and AHPs' performance and care outcomes. Comparative research is generally of low quality and outcomes wide ranging and heterogeneous. After more than a decade of synthesised research into CDSS in healthcare professions other than medicine, the effect on processes and outcomes remains uncertain. Higher-quality, theoretically informed, evaluative research that addresses the economics of CDSS development and implementation is still required.

Future work

Developing nursing CDSS and primary research evaluation.

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme and will be published in Health and Social Care Delivery Research; 2023. See the NIHR Journals Library website for further project information.

Registration

PROSPERO [number: CRD42019147773].

Requests for Compensation in Cases Involving Patients' Falls in Healthcare Settings: A Retrospective Analysis

Falls are the most frequent adverse events recorded in healthcare facilities. By employing a multifaceted strategy to ensure prevention interventions that are specific to the patient type and environmental risk management, risk factor evaluation may help to reduce falls in the hospital setting. Patient falls are one of the main causes of lawsuits against hospitals, which has led to the development of validated instruments that are beneficial in treating the patient after the incident and effective in minimizing the frequency of falls. The aim of our study is to evaluate compensation claims asserting healthcare culpability in situations where a patient fell in a hospital setting. The collected data relate to judgments issued in Italy until December 2022 regarding 30 episodes of falls that occurred between 2003 and 2018. Our research revealed that approximately 50% of Italian healthcare organizations lose the case in court when a patient falls in a hospital setting and dies or is injured. In half of these cases, the failure of the medical staff to use protective equipment against falls is what led to the court's acceptance of the compensation claim. In order to improve the quality of healthcare services, fall prevention techniques must continue to be implemented.

Analyzing a Multifactorial Fall Prevention Program Using ARIMA Models

BACKGROUND

Preventing inpatient falls is challenging for hospitals to improve and often leads to patient injury.

PURPOSE

To describe multifactorial patient-tailored interventions and to evaluate whether they were associated with a sustained decline in total and injury falls.

METHODS

A multifactorial fall prevention program was instituted over the course of several years. An interrupted time series design was used to assess the effect of each intervention on total and injury fall rates. ARIMA models were built to assess the step and ramp change.

RESULTS

Total fall rates decreased from 4.3 to 3.6 falls per 1000 patient days (16.28% decrease), and injury fall rates decreased from 1.02 to 0.8 falls per 1000 patient days (21.57% decrease). All the interventions contributed to fall reduction, with specific interventions contributing more than others.

CONCLUSIONS

Using multiple interventions that are sustained long enough to demonstrate success reduced the total fall rate and injury fall rate.

Person-centered care approach to prevention and management of falls among adults and aged in a Brazilian hospital: a best practice implementation project

OBJECTIVES

The objective is to assess compliance with evidence-based criteria regarding a person-centered care approach to the prevention and management of falls among adults and the elderly in a Brazilian private hospital.

METHODS

This project used the JBI audit and feedback method to implement evidence into practice. The JBI Practical Application of Clinical Evidence System and Getting Research into Practice audit tools have been used to promote changes in oncology and medical-surgical wards. The implementation protocol was designed based on the primary barriers and facilitators identified in the baseline audit, along with a training program and changes in the electronic medical records. Nursing documentation available in medical records, interviews with nurses who worked in oncology and medical-surgical wards, and interviews with patients admitted in oncology and medical-surgical wards were used to assess the baseline and follow-up audit compliance rates.

RESULTS

The baseline and follow-up audits showed improvement for criteria 3 and 9 (100%) and criteria 6 and 7 (97%), respectively. The compliance for criteria 4 (97.6%), 5 (76.7%), and 8 (18%) showed slight variations from baseline and follow-up audits. Compliance for criteria 1 (76.9%) and 2 (63.3%) decreased in the follow-up audit.

CONCLUSION

These findings support that baseline, and follow-up audits allied to a fall training program and changes in the electronic nursing records increase the compliance rates related to evidence-based practice regarding a person-centered care approach to preventing and managing falls. We will implement new strategies according to the best practices to achieve better outcomes.

Creating an Implementation Enhancement Plan for a Digital Patient Fall Prevention Platform Using the CFIR-ERIC Approach: A Qualitative Study

(1) Background: Inpatient falls are a major cause of hospital-acquired complications (HAC) and inpatient harm. Interventions to prevent falls exist, but it is unclear which are most effective and what implementation strategies best support their use. This study uses existing implementation theory to develop an implementation enhancement plan to improve the uptake of a digital fall prevention workflow. (2) Methods: A qualitative approach using focus groups/interview included 12 participants across four inpatient wards, from a newly built, 300-bed rural referral hospital. Interviews were coded to the Consolidated Framework for Implementation Research (CFIR) and then converted to barrier and enabler statements using consensus agreement. Barriers and enablers were mapped to the Expert Recommendations for Implementing Change (ERIC) tool to develop an implementation enhancement plan. (3) Results: The most prevalent CFIR enablers included: relative advantage (n = 12), access to knowledge and information (n = 11), leadership engagement (n = 9), patient needs and resources (n = 8), cosmopolitanism (n = 5), knowledge and beliefs about the intervention (n = 5), self-efficacy (n = 5) and formally appointed internal implementation leaders (n = 5). Commonly mentioned CFIR barriers included: access to knowledge and information (n = 11), available resources (n = 8), compatibility (n = 8), patient needs and resources (n = 8), design quality and packaging (n = 10), adaptability (n = 7) and executing (n = 7). After mapping the CFIR enablers and barriers to the ERIC tool, six clusters of interventions were revealed: train and educate stakeholders, utilize financial strategies, adapt and tailor to context, engage consumers, use evaluative and iterative strategies and develop stakeholder interrelations. (4) Conclusions: The enablers and barriers identified are similar to those described in the literature. Given there is close agreement between the ERIC consensus framework recommendations and the evidence, this approach will likely assist in enhancing the implementation of Rauland's Concentric Care fall prevention platform and other similar workflow technologies that have the potential to disrupt team and organisational routines. The results of this study will provide a blueprint to enhance implementation that will be tested for effectiveness at a later stage.

Development of patient-centred care in acute hospital settings: A meta-narrative review

BACKGROUND

Patient-centred care is widely recognised as a core aspect of quality health care and has been integrated into policy internationally. There remains a disconnect between policy and practice, with organisations and researchers continuing to offer definitions and frameworks to suit the operational context. It is unclear if and how patient-centred care has been adopted in the acute care context.

AIM

To understand the development of patient-centred care in the context of acute hospital settings over the past decade.

METHODS

A literature review was conducted in accordance with RAMESES standards and principles for meta-narrative reviews. Five databases (Medline, CINAHL, SCOPUS, Cochrane Library, JBI) were searched for full-text articles published between 2012 and 2021 related to patient-centred care in the acute care setting, in the context of nursing, medicine and health policy. Literature reviews and discussion papers were excluded. Articles were selected based on their relevance to the research aim. Descriptive and thematic analysis and synthesis of data were undertaken via an interpretivist process to understand the development of the topic.

RESULTS

One hundred and twenty four articles were included that reported observational studies (n = 78), interventions (n = 34), tool development (n = 7), expert consensus (n = 2), quality improvement (n = 2), and reflection (n = 1). Most studies were conducted in developed countries and reported the perspective of patients (n = 33), nurses (n = 29), healthcare organisations (n = 7) or multiple perspectives (n = 50). Key words, key authors and organisations for patient-centred care were commonly recognised and provided a basis for the research. Fifty instruments measuring patient-centred care or its aspects were identified. Of the 34 interventions, most were implemented at the micro (clinical) level (n = 25) and appeared to improve care (n = 30). Four articles did not report outcomes. Analysis of the interventions identified three main types: i) staff-related, ii) patient and family-related, and iii) environment-related. Analysis of key findings identified five meta-narratives: i) facilitators of patient-centred care, ii) threats to patient-centred care, iii) outcomes of patient-centred care, iv) elements of patient-centred care, and v) expanding our understanding of patient-centred care.

CONCLUSIONS

Interest in patient centred care continues to grow, with reports shifting from conceptualising to operationalising patient-centred care. Interventions have been successfully implemented in acute care settings at the micro level, further research is needed to determine their sustainability and macro level implementation. Health services should consider staff, patient and organisational factors that can facilitate or threaten patient-centred care when planning interventions.

TWEETABLE ABSTRACT

Patient-centred care in acute care settings - we have arrived! Is it sustainable?

Risk stratification for early and late falls in acute care settings

BACKGROUND AND AIMS

Falling generally injures patients, lengthens hospital stays and leads to the wastage of financial and medical resources. Although falls can occur at any stage after hospital admission, there are no studies that characterise falls with length of hospital stay in acute care settings. This study aims to clarify risk stratification of early and late falls in acute care settings.

METHODS

A retrospective cohort study was conducted for participants who were admitted to a teaching hospital in Japan. Patients' falls were divided into two groups based on the median of the fall date (day 10). Considering a 70/30 split, the logistic regression model was used to extract independent predictors for early and late falls for nine risk variables based on exploratory analysis among 26 items selected from the modified Japanese Nursing Association Fall Risk Assessment Tool, and risk models were validated. This study was conducted according to the STROBE guideline.

RESULTS

Of the 10,975 patients admitted, 87 and 90 with early and late falls, respectively, were identified. The five significant risk factors extracted for early falls were fall history, muscle weakness, impaired understanding, use of psychotropics and the personality trait of 'doing everything on one's own'; risk factors identified for late falls were being older than 65 years, impaired extremities and unstable gait, in addition to muscle weakness. Using these variables for early and late falls in the validation cohort, the concordance indices of the risk models were both over 0.80.

CONCLUSIONS

By separately extracting risk factors for early and late falls in an acute care hospital setting, this study shed light on the characteristics of the respective types of falls.

RELEVANT TO CLINICAL PRACTICE

As the risk factors of falls vary according to the length of hospitalisation, specific preventive care can be implemented to avoid fall incidents.

Cost of Inpatient Falls and Cost-Benefit Analysis of Implementation of an Evidence-Based Fall Prevention Program

Importance

There is insufficient research on the costs of patient falls in health care systems, a leading source of nonreimbursable adverse events.

Objective

To report the costs of inpatient falls and the cost savings associated with implementation of an evidence-based fall prevention program.

Design, Setting, and Participants

In this economic evaluation, a matched case-control study used the findings from an interrupted time series analysis that assessed changes in fall rates following implementation of an evidence-based fall prevention program to understand the cost of inpatient falls. An economic analysis was then performed to assess the cost benefits associated with program implementation across 2 US health care systems from June 1, 2013, to August 31, 2019, in New York, New York, and Boston, Massachusetts. All adults hospitalized in participating units were included in the analysis. Data analysis was performed from October 2021 to November 2022.

Interventions

Evidence-based fall prevention program implemented in 33 medical and surgical units in 8 hospitals.

Main Outcomes and Measures

Primary outcome was cost of inpatient falls. Secondary outcome was the costs and cost savings associated with the evidence-based fall prevention program.

Results

A total of 10 176 patients who had a fall event (injurious or noninjurious) with 29 161 matched controls (no fall event) were included in the case-control study and the economic analysis (51.9% were 65-74 years of age, 67.1% were White, and 53.6% were male). Before the intervention, there were 2503 falls and 900 injuries; after the intervention, there were 2078 falls and 758 injuries. Based on a 19% reduction in falls and 20% reduction in injurious falls from the beginning to the end of the postintervention period, the economic analysis demonstrated that noninjurious and injurious falls were associated with cost increases of $35 365 and $36 776, respectively. The implementation of the evidence-based fall prevention program was associated with $14 600 in net avoided costs per 1000 patient-days.

Conclusions and Relevance

This economic evaluation found that fall-related adverse events represented a clinical and financial burden to health care systems and that the current Medicare policy limits reimbursement. In this study, costs of falls only differed marginally by injury level. Policies that incentivize organizations to implement evidence-based strategies that reduce the incidence of all falls may be effective in reducing both harm and costs.

The U-shaped association between hospitalization time and fall incidence in inpatients using publicly available data: A cross-sectional study in Japan

AIM

To examine the association between the hospitalization time and fall incidence.

DESIGN

A secondary analysis using the Dryad Digital Repository public database.

METHODS

Data were extracted from the Fukushima Medical University Hospital cohort study between August 2008 and September 2009. The final analytic sample included 8,598 participants, 156 of who fell. The risk of fall incidents according to hospitalization time was estimated using logistic proportional hazards models, and restricted cubic splines with four knots model were developed.

RESULTS

The median hospitalization time was 9.00 (4.00, 17.00) days. The incidence of falls was 1.81% (N = 156). A U-shaped association between the hospitalization time and fall incidence, with an inflextion point of 8 days. We found a decreasing fall incidence as the hospitalization time increased from 0 to 8 days (OR 0.72 [0.62 ~ 0.83], p < .001); beyond 8 days, the fall incidence increased as the hospitalization time increased (OR 1.06 [1.04 ~ 1.09]).

Comparisons of Fall Prevention Activities Using Electronic Nursing Records: A Case-Control Study

OBJECTIVE

The aim of this study was to compare the current fall prevention nursing practices with the evidence-based practices recommended in clinical practice guidelines according to the risk of falling and specific risk factors.

METHODS

The standardized nursing statements of 12,277 patients were extracted from electronic nursing records and classified into groups according to the risk of falling and individual patients' specific risk factors. The mean frequencies of the fall prevention practices in 10 categories derived from clinical practice guidelines were compared among the groups. We additionally analyzed the differences in the mean frequencies of tailored fall prevention practices according to individual patients' specific risk factors.

RESULTS

The nurses documented more fall prevention practices for patients at a high risk of falling and nonfallers than for patients at a low risk of falling and fallers. Specifically, the difference in nursing practices related to environmental modifications was largest between patients at a high risk of falling and those at a low risk of falling. There were also large differences in the nursing practices related to mental status, dizziness/vertigo, and mobility limitations between fallers and nonfallers. There was more documentation of tailored fall prevention practices related to mobility limitations for patient with mild lower limb weakness than for those with good power and balance. In contrast, patients with severe lower limb weakness had received fewer fall prevention practices related to mobility limitations.

CONCLUSIONS

The present findings emphasize that individual risk-specific nursing interventions in addition to universal precautions are crucial for preventing falls among patients.

Patient-Level Fall Risk Prediction Using the Observational Medical Outcomes Partnership's Common Data Model: Pilot Feasibility Study

BACKGROUND

Falls in acute care settings threaten patients' safety. Researchers have been developing fall risk prediction models and exploring risk factors to provide evidence-based fall prevention practices; however, such efforts are hindered by insufficient samples, limited covariates, and a lack of standardized methodologies that aid study replication.

OBJECTIVE

The objectives of this study were to (1) convert fall-related electronic health record data into the standardized Observational Medical Outcome Partnership's (OMOP) common data model format and (2) develop models that predict fall risk during 2 time periods.

METHODS

As a pilot feasibility test, we converted fall-related electronic health record data (nursing notes, fall risk assessment sheet, patient acuity assessment sheet, and clinical observation sheet) into standardized OMOP common data model format using an extraction, transformation, and load process. We developed fall risk prediction models for 2 time periods (within 7 days of admission and during the entire hospital stay) using 2 algorithms (least absolute shrinkage and selection operator logistic regression and random forest).

RESULTS

In total, 6277 nursing statements, 747,049,486 clinical observation sheet records, 1,554,775 fall risk scores, and 5,685,011 patient acuity scores were converted into OMOP common data model format. All our models (area under the receiver operating characteristic curve 0.692-0.726) performed better than the Hendrich II Fall Risk Model. Patient acuity score, fall history, age ≥60 years, movement disorder, and central nervous system agents were the most important predictors in the logistic regression models.

CONCLUSIONS

To enhance model performance further, we are currently converting all nursing records into the OMOP common data model data format, which will then be included in the models. Thus, in the near future, the performance of fall risk prediction models could be improved through the application of abundant nursing records and external validation.

Older Adults' Perceptions and Recommendations Regarding a Falls Prevention Self-Management Plan Template Based on the Health Belief Model: A Mixed-Methods Study

Falls are the leading cause of fatal and non-fatal injuries among older adults. Self-management plans have been used in different contexts to promote healthy behaviors, but older adults’ perceptions of a falls prevention self-management plan template have not been investigated. Using mixed methods, we investigated older adults’ perceptions and recommendations of a falls prevention self-management plan template aligned with the Health Belief Model. Four focus groups (n = 27, average age 78 years) were conducted using semi-structured interview guides. Participants also ranked the written plan on paper with respect to each item by the level of importance, where item 1 was the most important, and 10 was the least important. Focus groups were transcribed and analyzed. Descriptive statistics were calculated for item rankings. Older adults felt that the plan would raise awareness and help them to engage in falls prevention behaviors. Participants recommended adding graphics and using red to highlight the risk of falling. Participants opined that ranking the items by level of importance was challenging because they felt all items were important. ‘What might happen to me if I fall’ was ranked as the most important item (average 2.6), while ‘How will I monitor progress’ was the least important (average = 6.6). Considering that older adults need support to engage in falls prevention, future research should investigate the impact of implementing an individually tailored falls prevention self-management plan on older adults’ engagement in falls prevention behaviors and outcomes of falls and injuries.

A Multicenter Cohort Study of Falls Among Patients Admitted to the ICU

OBJECTIVES

To determine the incidence of falls, risk factors, and adverse outcomes, among patients admitted to the ICU.

DESIGN

Retrospective cohort study.

SETTING

Seventeen ICUs in Alberta, Canada.

PATIENTS

Seventy-three thousand four hundred ninety-five consecutive adult patient admissions between January 1, 2014, and December 31, 2019.

MEASUREMENTS AND MAIN RESULTS

A mixed-effects negative binomial regression model was used to examine risk factors associated with falls. Linear and logistic regression models were used to evaluate adverse outcomes. Six hundred forty patients experienced 710 falls over 398,223 patient days (incidence rate of 1.78 falls per 1,000 patient days [95% CI, 1.65-1.91]). The daily incidence of falls increased during the ICU stay (e.g., day 1 vs day 7; 0.51 vs 2.43 falls per 1,000 patient days) and varied significantly between ICUs (range, 0.37-4.64 falls per 1,000 patient days). Male sex (incidence rate ratio [IRR], 1.37; 95% CI, 1.15-1.63), previous invasive mechanical ventilation (IRR, 1.82; 95% CI, 1.40-2.38), previous sedative and analgesic medication infusions (IRR, 1.60; 95% CI, 1.15-2.24), delirium (IRR, 3.85; 95% CI, 3.23-4.58), and patient mobilization (IRR, 1.26; 95% CI, 1.21-1.30) were risk factors for falling. Falls were associated with longer ICU (ratio of means [RM], 3.10; 95% CI, 2.86-3.36) and hospital (RM, 2.21; 95% CI, 2.01-2.42) stays, but lower odds of death in the ICU (odds ratio [OR], 0.09; 95% CI, 0.05-0.17) and hospital (OR, 0.21; 95% CI, 0.14-0.30).

CONCLUSIONS

We observed that among ICU patients, falls occur frequently, vary substantially between ICUs, and are associated with modifiable risk factors, longer ICU and hospital stays, and lower risk of death. Our study suggests that fall prevention strategies should be considered for critically ill patients admitted to ICU.

Effects of computerised clinical decision support systems (CDSS) on nursing and allied health professional performance and patient outcomes: a systematic review of experimental and observational studies

OBJECTIVE

Computerised clinical decision support systems (CDSS) are an increasingly important part of nurse and allied health professional (AHP) roles in delivering healthcare. The impact of these technologies on these health professionals' performance and patient outcomes has not been systematically reviewed. We aimed to conduct a systematic review to investigate this.

MATERIALS AND METHODS

The following bibliographic databases and grey literature sources were searched by an experienced Information Professional for published and unpublished research from inception to February 2021 without language restrictions: MEDLINE (Ovid), Embase Classic+Embase (Ovid), PsycINFO (Ovid), HMIC (Ovid), AMED (Allied and Complementary Medicine) (Ovid), CINAHL (EBSCO), Cochrane Central Register of Controlled Trials (Wiley), Cochrane Database of Systematic Reviews (Wiley), Social Sciences Citation Index Expanded (Clarivate), ProQuest Dissertations & Theses Abstracts & Index, ProQuest ASSIA (Applied Social Science Index and Abstract), Clinical Trials.gov, WHO International Clinical Trials Registry (ICTRP), Health Services Research Projects in Progress (HSRProj), OpenClinical(www.OpenClinical.org), OpenGrey (www.opengrey.eu), Health.IT.gov, Agency for Healthcare Research and Quality (www.ahrq.gov). Any comparative research studies comparing CDSS with usual care were eligible for inclusion.

RESULTS

A total of 36 106 non-duplicate records were identified. Of 35 included studies: 28 were randomised trials, three controlled-before-and-after studies, three interrupted-time-series and one non-randomised trial. There were ~1318 health professionals and ~67 595 patient participants in the studies. Most studies focused on nurse decision-makers (71%) or paramedics (5.7%). CDSS as a standalone Personal Computer/LAPTOP-technology was a feature of 88.7% of the studies; only 8.6% of the studies involved 'smart' mobile/handheld-technology.

DISCUSSION

CDSS impacted 38% of the outcome measures used positively. Care processes were better in 47% of the measures adopted; examples included, nurses' adherence to hand disinfection guidance, insulin dosing, on-time blood sampling and documenting care. Patient care outcomes in 40.7% of indicators were better; examples included, lower numbers of falls and pressure ulcers, better glycaemic control, screening of malnutrition and obesity and triaging appropriateness.

CONCLUSION

CDSS may have a positive impact on selected aspects of nurses' and AHPs' performance and care outcomes. However, comparative research is generally low quality, with a wide range of heterogeneous outcomes. After more than 13 years of synthesised research into CDSS in healthcare professions other than medicine, the need for better quality evaluative research remains as pressing.

Do patient engagement interventions work for all patients? A systematic review and realist synthesis of interventions to enhance patient safety

BACKGROUND

Patients are increasingly being asked for feedback about their healthcare and treatment, including safety, despite little evidence to support this trend. This review identifies the strategies used to engage patients in safety during direct care, explores who is engaged and determines the mechanisms that impact effectiveness.

METHODS

A systematic review was performed of seven databases (CINAHL, Cochrane, Cochrane-Central, Embase, ISI Web of Science, Medline, PsycINFO) that included research published between 2010 and 2020 focused on patient engagement interventions to increase safety during direct care and reported using PRISMA. All research designs were eligible; two reviewers applied criteria independently to determine eligibility and quality. A narrative review and realist synthesis were conducted.

RESULTS

Twenty-six papers reporting on twenty-seven patient engagement strategies were included and classified as consultation (9), involvement (7) and partnership (11). The definitions of 'patient engagement' varied, and we found limited details about participant characteristics or interactions between people utilizing strategies. Collaborative strategy development, a user-friendly design, proactive messaging and agency sponsorship were identified as mechanisms to improve engagement about safety at the point of direct care.

CONCLUSIONS

Agency sponsorship of collaboration between staff and patients is essential in the development and implementation of strategies to keep patients safe during direct care. Insufficient details about participant characteristics and patient-provider interactions limit recommendations for practice change. More needs to be learned about how patients are engaged in discussions about safety, particularly minority groups unable to engage with standard information.

PATIENT OR PUBLIC CONTRIBUTION

Review progress was reported to the CanEngage team, including the consumer steering group, to inform project priorities (PROSPERO CRD42020196453).

Clinical Impact of an Analytic Tool for Predicting the Fall Risk in Inpatients: Controlled Interrupted Time Series

BACKGROUND

Patient falls are a common cause of harm in acute-care hospitals worldwide. They are a difficult, complex, and common problem requiring a great deal of nurses' time, attention, and effort in practice. The recent rapid expansion of health care predictive analytic applications and the growing availability of electronic health record (EHR) data have resulted in the development of machine learning models that predict adverse events. However, the clinical impact of these models in terms of patient outcomes and clinicians' responses is undetermined.

OBJECTIVE

The purpose of this study was to determine the impact of an electronic analytic tool for predicting fall risk on patient outcomes and nurses' responses.

METHODS

A controlled interrupted time series (ITS) experiment was conducted in 12 medical-surgical nursing units at a public hospital between May 2017 and April 2019. In six of the units, the patients' fall risk was assessed using the St. Thomas' Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY) system (control units), while in the other six, a predictive model for inpatient fall risks was implemented using routinely obtained data from the hospital's EHR system (intervention units). The primary outcome was the rate of patient falls; secondary outcomes included the rate of falls with injury and analysis of process metrics (nursing interventions that are designed to mitigate the risk of fall).

RESULTS

During the study period, there were 42,476 admissions, of which 707 were for falls and 134 for fall injuries. Allowing for differences in the patients' characteristics and baseline process metrics, the number of patients with falls differed between the control (n=382) and intervention (n=325) units. The mean fall rate increased from 1.95 to 2.11 in control units and decreased from 1.92 to 1.79 in intervention units. A separate ITS analysis revealed that the immediate reduction was 29.73% in the intervention group (z=-2.06, P=.039) and 16.58% in the control group (z=-1.28, P=.20), but there was no ongoing effect. The injury rate did not differ significantly between the two groups (0.42 vs 0.31, z=1.50, P=.134). Among the process metrics, the risk-targeted interventions increased significantly over time in the intervention group.

CONCLUSIONS

This early-stage clinical evaluation revealed that implementation of an analytic tool for predicting fall risk may to contribute to an awareness of fall risk, leading to positive changes in nurses' interventions over time.

TRIAL REGISTRATION

Clinical Research Information Service (CRIS), Republic of Korea KCT0005286; https://cris.nih.go.kr/cris/search/detailSearch.do/16984.

Automation in nursing decision support systems: A systematic review of effects on decision making, care delivery, and patient outcomes

OBJECTIVE

The study sought to summarize research literature on nursing decision support systems (DSSs ); understand which steps of the nursing care process (NCP) are supported by DSSs, and analyze effects of automated information processing on decision making, care delivery, and patient outcomes.

MATERIALS AND METHODS

We conducted a systematic review in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. PubMed, CINAHL, Cochrane, Embase, Scopus, and Web of Science were searched from January 2014 to April 2020 for studies focusing on DSSs used exclusively by nurses and their effects. Information about the stages of automation (information acquisition, information analysis, decision and action selection, and action implementation), NCP, and effects was assessed.

RESULTS

Of 1019 articles retrieved, 28 met the inclusion criteria, each studying a unique DSS. Most DSSs were concerned with two NCP steps: assessment (82%) and intervention (86%). In terms of automation, all included DSSs automated information analysis and decision selection. Five DSSs automated information acquisition and only one automated action implementation. Effects on decision making, care delivery, and patient outcome were mixed. DSSs improved compliance with recommendations and reduced decision time, but impacts were not always sustainable. There were improvements in evidence-based practice, but impact on patient outcomes was mixed.

CONCLUSIONS

Current nursing DSSs do not adequately support the NCP and have limited automation. There remain many opportunities to enhance automation, especially at the stage of information acquisition. Further research is needed to understand how automation within the NCP can improve nurses' decision making, care delivery, and patient outcomes.

Adopting the Fall Tailoring Interventions for Patient Safety (TIPS) Program to Engage Older Adults in Fall Prevention in a Nursing Home

BACKGROUND

Falls are the leading cause of injury-related hospitalizations and deaths among older adults globally.

LOCAL PROBLEM

About 24% of Canadian nursing home residents fall annually. This quality improvement project evaluated the impact of the Fall Tailoring Interventions for Patient Safety (TIPS) program on preventing falls and fall-related injuries among older adult nursing home residents in a subacute care unit in Canada.

METHODS

We used the Standards for Quality Improvement Reporting Excellence (SQUIRE) 2.0 guidelines for reporting. The intervention site is a 15-bed subacute care unit within a government-funded nursing home.

INTERVENTION

The Fall TIPS program was adapted to a nursing home setting to prevent falls. It provides fall prevention clinical decision support at the bedside.

RESULTS

The rates of falls and injuries decreased after implementing the Fall TIPS intervention.

CONCLUSION

Engaging nursing home older adult residents in fall prevention is crucial in translating evidence-based fall prevention care into clinical practice.

Practice What We Preach: Beginning a Journey to Embrace Patient-Centered Outcomes Research

Background: Patient-centered outcomes research seeks to answer patient-centered questions. The process includes varied locations and individuals throughout the care continuum to address individual differences and constraints in implementation and dissemination. Problem: This paper intends to answer this question: do academic nurses practice what they preach by assisting patient-centered outcomes research and researchers through their engagement with patients, caregivers, and other community stakeholder partners in nursing research? Approach: This paper provides an overview of how academic nurses in a single institution (the University of Texas Medical Branch at Galveston School of Nursing) began to embrace patient-centered outcomes research. Conclusion: Whether academic nurses are practicing what they preach in terms of patient-centered outcomes research remains uncertain. More examples from academia are required to make that determination. Academic nurses worldwide have embarked on a steep learning curve to embrace patient-centered outcomes research. This journey will require patience and a systematic strategy.

Effect of baduanjin on the fall and balance function in middle-aged and elderly people: A protocol for systematic review and meta-analysis

BACKGROUND

The risk of fall seriously affects the health and quality of life of the middle-aged and elderly people, especially the injury and disability caused by fall of the middle-aged and elderly people, which imposes a huge burden on family and social medical care. Baduanjin exercise may be an effective intervention to enhance the muscle strength and stability of lower limbs, improve the balance ability and gait of middle-aged and elderly people, reduce the incidence of falls, improve the quality of life, and promote the health of middle-aged and elderly people. The aim of this study is to summarize evidence and systematically review the efficacy and safety of Baduanjin on the fall and balance function in middle-aged and elderly people.

METHODS

We conducted a systematic search of English and Chinese RCTs in the following 8 electronic databases: PubMed, EMBASE, Web of Science, The Cochrane Library, Chinese Biomedical Literature Database (CBM), Chinese National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), Wanfang Database, from their respective dates of inception to July 2021. Other resources will be searched if necessary. The primary outcome is the fall rate in middle-aged and elderly people and the secondary outcomes include the Single-Leg Standing (SLS) Test, Berg Balance Scale (BBS), Timed Up and Go (TUG) Test. The study selection, data extraction, risk of bias, data synthesis and analysis, reporting biases, and the quality of evidence will be independently conducted by 2 reviewers who use the EndNote X9 software, Cochrane handbook assessment tool, RevMan 5.3 software, a funnel plot and GRADE system.

RESULTS

This study will evaluate the effect of Baduanjin on falls and balance function of middle-aged and elderly people from multiple outcome evaluation indicators such as fall rate, and provide high-quality evidence.

CONCLUSION

This study will provide evidence for whether Baduanjin has an effect on falls and balance function in middle-aged and elderly people.

ETHICS AND DISSEMINATION

Ethics approval is not required for systematic review, since it does not infringe on personal interests. The results will be submitted to peer-review journals or disseminated at scientific conferences.