Movement and Pressure Injury Prevention Care for Nursing Home Residents: Addressing the Nescience.

OBJECTIVE: To compare movement associated with position changes among nursing home residents who remain in lying versus upright positions for more than 2 hours and among residents living with obesity, dementia, or neither condition. METHODS: The authors conducted a descriptive exploratory study using secondary data (N = 934) from the Turn Everyone And Move for Ulcer Prevention (TEAM-UP) clinical trial to examine transient movements (<60 seconds) within prolonged periods of 2 to 5 hours without repositioning. RESULTS: Nursing home residents exhibit significantly more episodic transient movements when upright than lying. Residents with obesity or dementia exhibited similar frequencies of episodic transient movements compared with residents with neither obesity nor dementia. Upright or lying movements were more frequent among residents with obesity than among those with neither obesity nor dementia selectively when prolonged events ranged from 2 to 4 hours. Pairwise comparisons of movement rates among resident subgroups (living with obesity, living with dementia, or neither group) across repositioning intervals showed episodic transient movements were significantly higher across all subgroups for repositioning intervals up to 3 hours when compared with repositioning intervals of greater than 3 hours. CONCLUSIONS: Findings challenge assumptions that nursing home residents are inactive and at risk for prolonged sitting. These preliminary findings, along with TEAM-UP findings where no pressure injuries occurred in up to 5 hours in prolonged positions, support establishing a standard 3-hour repositioning interval with use of high-density mattresses without a negative impact on pressure injury occurrence. There should be caution when considering repositioning intervals greater than 3 hours. Further research is indicated to explore protective effect of episodic transient movements of other subgroups.

WHS guidelines for the treatment of pressure ulcers-2023 update.

The major populations at risk for developing pressure ulcers are older adults who have multiple risk factors that increase their vulnerability, people who are critically ill and those with spinal cord injury/disease. The reported prevalence of pressure ulcers in the United States is 2.5 million. However, this estimate is derived from acute care facilities and does not include people who are living at home or in nursing facilities. Despite the implementation of hospital and facility-based preventive measures, the incidence of pressure ulcers has not decreased in decades. In addition to the burden of pain, infection and death, it is estimated that hospital-acquired pressure ulcers cost the health system $26.8 billion annually with over 50% of the cost attributed to treating Stage 3 and 4 pressure injuries. Thus, it is critical to examine the literature and develop guidelines that will improve the outcomes of this complex and costly condition. This guideline update is a compendium of the best available evidence for the treatment of Pressure Ulcers published since the last update in 2015 and includes a new section based on changing demographics entitled 'Palliative wound care for seriously ill patients with pressure ulcers'. The overall goal of the Wound Healing Society Guideline project is to present clear, concise and commercial free guidelines that clinicians can use to guide care, that researchers can use to develop studies that will improve treatment and that both clinicians and researchers can use to understand the gaps in our knowledge base.

Estimating the value of repositioning timing to streamline pressure injury prevention efforts in nursing homes: A cost-effectiveness analysis of the 'TEAM-UP' clinical trial.

Pressure injury (PrI) prevention guidelines recommend 2-h repositioning intervals in healthcare settings, requiring significant nursing time investment. We analysed the cost-effectiveness of PrI prevention protocols with 2-, 3- and 4-h repositioning intervals in US nursing homes according to 'Turn Everyone and Move for Ulcer Prevention' (TEAM-UP) randomized controlled trial findings. Markov modelling compared 2-, 3- and 4-h repositioning intervals, controlling for other practice guidelines, to prevent PrIs in nursing home residents from a US health sector perspective over one year using TEAM-UP trial data for model structure, sampling and parameterization. Costs, captured in 2020 US dollars, and quality-adjusted life years (QALYs) were used to derive an incremental cost-effectiveness ratio and net monetary benefit (NMB) at $50 000/QALY-$150 000/QALY cost-effectiveness thresholds. Sensitivity analyses tested model uncertainty. Repositioning intervals between 3 and 4 h were cost-effective based on reduced costs at slightly lower QALYs than 2 h at a $50 000/QALY threshold, and the NMB of 4-h repositioning was also more efficient than at 3 h ($9610). Repositioning labour cost and prevention routines were among the most sensitive parameters. Sensitivity analyses demonstrated that 3- and 4-h intervals were cost-effective in over 65% of simulations at any cost-effectiveness threshold. Repositioning intervals of 3 to 4 h have potential to reduce nursing time costs without significant decrements in clinical benefits to nursing home residents. Clinical guidelines for PrI prevention should be updated to reflect TEAM-UP clinical and economic findings. Facilities can use cost-savings recuperated from nursing time to deploy to other patient safety priorities without seriously jeopardizing PrI safety.

The Nursing Home Severity Index and Application to Pressure Injury Risk: Measure Development and Validation Study.

BACKGROUND: An assessment tool is needed to measure the clinical severity of nursing home residents to improve the prediction of outcomes and provide guidance in treatment planning. OBJECTIVE: This study aims to describe the development of the Nursing Home Severity Index, a clinical severity measure targeted for nursing home residents with the potential to be individually tailored to different outcomes, such as pressure injury. METHODS: A retrospective nonexperimental design was used to develop and validate the Nursing Home Severity Index using secondary data from 9 nursing homes participating in the 12-month preintervention period of the Turn Everyone and Move for Ulcer Prevention (TEAM-UP) pragmatic clinical trial. Expert opinion and clinical literature were used to identify indicators, which were grouped into severity dimensions. Index performance and validation to predict risk of pressure injury were accomplished using secondary data from nursing home electronic health records, Minimum Data Sets, and Risk Management Systems. Logistic regression models including a resident's Worst-Braden score with/without severity dimensions generated propensity scores. Goodness of fit for overall models was assessed using C statistic; the significance of improvement of fit after adding severity components to the model was determined using the likelihood ratio chi-square test. The significance of each component was assessed with odds ratios. Validation based on randomly selected 65% training and 35% validation data sets was used to confirm the reliability of the severity measure. Finally, the discriminating ability of models was evaluated using propensity stratification to evaluate which model best discriminated between residents with/without pressure injury. RESULTS: Data from 1015 residents without pressure injuries on admission were used for the Nursing Home Severity Index-Pressure Injury and included laboratory, weights/vitals/pain, underweight, and locomotion severity dimensions. Logistic regression C statistic measuring predictive accuracy increased by 19.3% (from 0.627 to 0.748; P<.001) when adding four severity dimensions to Worst-Braden scores. Significantly higher odds of developing pressure injuries were associated with increasing dimension scores. The use of the three highest propensity deciles predicting the greatest risk of pressure injury improved predictive accuracy by detecting 21 more residents who developed pressure injury (n=58, 65.2% vs n=37, 42.0%) when both severity dimensions and Worst-Braden score were included in prediction modeling. CONCLUSIONS: The clinical Nursing Home Severity Index-Pressure Injury was successfully developed and tested using the outcome of pressure injury. Overall predictive capacity was enhanced when using severity dimensions in combination with Worst-Braden scores. This index has the potential to significantly impact the quality of care decisions aimed at improving individual pressure injury prevention plans. TRIAL REGISTRATION: ClinicalTrials.gov NCT02996331; http://clinicaltrials.gov/ct2/show/NCT02996331.

Using an Electromagnetic Guidance System for Placement of Small-Bowel Feeding Tubes to Reduce Feeding Start Times.

BACKGROUND: Cardiothoracic surgery patients have an increased risk for aspiration and may require enteral access for nutrition. LOCAL PROBLEM: In a cardiothoracic intensive care unit, feeding start times were delayed because of scheduling conflicts with support services. An electromagnetic device (Cortrak 2 Enteral Access System, Avanos Medical) was introduced to allow advanced practice providers (nurse practitioners and physician assistants) to independently establish postpyloric access and reduce dependence on ancillary services. METHODS: A quality improvement study was performed. Pre- and postimplementation data included order time, service arrival, tube placement time, tube positioning, and feeding start times for 207 placements. Pre- and postimplementation surveys were conducted to evaluate advanced practice provider satisfaction with enteral tube placement practices. RESULTS: Feeding start time for initial placement decreased by 35.5% (15.6 hours to 10 hours); for subsequent placement, by 55.2% (15.5 hours to 7.0 hours). Assistance by support services decreased by 80.4% (before implementation, 100 of 100 placements [100%]; after implementation, 21 of 107 placements [19.6%]; P < .001; ϕ = 0.815). Overall, advanced practice provider satisfaction increased. Most participants said that using the electromagnetic device was faster, nutrition was delivered sooner, and implementation was a valuable practice change. CONCLUSIONS: Using an electromagnetic device decreased feeding start times, reduced the need for support services, and increased advanced practice provider satisfaction with small-bowel feeding tube placement practices.

Nursing Assessment of Pressure Injury Risk with the Braden Scale Validated against Sensor-Based Measurement of Movement.

Nursing staff assessment to accurately identify pressure injury (PrI) risk is a hallmark in PrI prevention care. Risk scores from the Braden Scale for Predicting Pressure Sore Risk© (hereafter Braden), a commonly used tool for assessing PrI risk, signal the need for preventative care. Braden Mobility, Activity, and Sensory Perception subscale subgroups associated with repositioning movement features help identify preventative strategies that minimize pressure intensity and duration. Evidence confirming subscale rating accuracy is needed. This study compared assessment score accuracy with movement data collected via accelerometer sensor. Sample included 913 nursing home residents from the Turn Everyone and Move for Pressure Ulcer Prevention (TEAM-UP) cluster randomized trial. Movements and Braden Mobility and Activity subscale scores were evaluated for significant differences and associations. Mobility subgroups explained a small-medium amount of variance in mean lying and upright movement features (0.002 ≤ R2 ≤ 0.195). Activity subgroups explained a small-medium amount of variance in mean lying, upright, and ambulating movements (0.016 ≤ R2 ≤ 0.248). Significant associations occurred among subscale subgroups and most movements. Nursing assessment ratings using Braden scale's Mobility and Activity subscale scores are accurate indicators of actual repositioning movements and can be relied upon for PrI prevention care planning for older adults.

Movement Patterns of Transient and Prolonged Positioning Events in Nursing Home Residents: Results from the TEAM-UP Trial.

OBJECTIVE: To characterize transient and prolonged body position patterns in a large sample of nursing home (NH) residents and describe the variability in movement patterns based on time of occurrence. METHODS: This study is a descriptive, exploratory analysis of up to 28 days of longitudinal accelerometer data for 1,100 NH residents from the TEAM-UP (Turn Everyone and Move for Ulcer Prevention) clinical trial. Investigators analyzed rates of transient events (TEs; less than 60 seconds) and prolonged events (PEs; 60 seconds or longer) and their interrelationships by nursing shift. RESULTS: Residents' positions changed for at least 1 minute (PEs) nearly three times per hour. Shorter-duration movements (TEs) occurred almost eight times per hour. Residents' PE rates were highest in shift 2 (3 pm to 11 pm ), when the median duration and maximum lengths of PEs were lowest; the least active time of day was shift 3 (11 pm to 7 am ). Three-quarters of all PEs lasted less than 15 minutes. The rate of TEs within PEs decreased significantly as the duration of PEs increased. CONCLUSIONS: The NH residents demonstrate complex patterns of movements of both short and prolonged duration while lying and sitting. Findings represent how NH residents naturally move in real-world conditions and provide a new set of metrics to study tissue offloading and its role in pressure injury prevention.

Improving Pressure Injury Prevention by Using Wearable Sensors to Cue Critical Care Patient Repositioning.

BACKGROUND: Repositioning patients at regular intervals is the standard of care for pressure injury prevention, yet compliance with routine repositioning schedules can be hard to achieve in busy critical care environments. Cueing technology may help improve repositioning compliance. OBJECTIVE: To determine whether using wearable patient sensors to cue nurses about patients' repositioning needs could improve compliance with an every-2-hour repositioning protocol. METHODS: A sequential pretest-posttest study design was used in a 12-bed medical intensive care unit. The study occurred in 2 phases. In phase 1, eligible patients wore a triaxial accelerometer-based sensor; nurses were blinded to the data. In phase 2, the sensor technology provided staff with visual cues about patients' positions and repositioning needs. The primary measure was repositioning protocol compliance, which was compared between phase 1 and phase 2 with weighted t tests. Unit staff members were surveyed before the start of phase 1 and at the end of phase 2. RESULTS: In phase 1, 25 patients met the inclusion criteria. Phase 2 began 1 day after phase 1 and included 29 patients. In phase 1, repositioning compliance was 55%, and the mean repositioning interval was 3.8 hours. In phase 2, repositioning protocol compliance increased to 89%, and the mean repositioning interval was 2.3 hours. Nursing staff survey results showed improved teamwork in phase 2. CONCLUSION: Visual cueing about patients' mobility needs is associated with increased compliance with the facility repositioning protocol.

Pressure Injury Risk Assessment and Prevention in Patients With COVID-19 in the Intensive Care Unit.

BACKGROUND: Patients critically ill with COVID-19 are at risk for hospital-acquired pressure injury, including device-related pressure injury. METHODS: Braden Scale predictive validity was compared between patients with and without COVID-19, and a logistic regression model was developed to identify risk factors for device-related pressure injury. RESULTS: A total of 1920 patients were included in the study sample, including 407 with COVID-19. Among the latter group, at least 1 hospital-acquired pressure injury developed in each of 120 patients (29%); of those, device-related pressure injury developed in 55 patients (46%). The Braden Scale score area under the receiver operating characteristic curve was 0.72 in patients without COVID-19 and 0.71 in patients with COVID-19, indicating fair to poor discrimination. CONCLUSIONS: Fragile skin and prone positioning during mechanical ventilatory support were risk factors for device-related pressure injury. Clinicians may consider incorporating factors not included in the Braden Scale (eg, oxygenation and perfusion) in routine risk assessment and should maintain vigilance in their efforts to protect patients with COVID-19 from device-related pressure injury.

Increasing Nursing Documentation Efficiency With Wearable Sensors for Pressure Injury Prevention.

BACKGROUND: Documentation presents an overwhelming burden to bedside clinical nurses. Nurses must manually enter several hundred data points into electronic health record flow sheets, taking time from direct patient care and introducing opportunity for documentation errors. LOCAL PROBLEM: A patient record audit revealed a significant gap in documented patient repositioning events. This quality improvement initiative evaluated automated repositioning documentation via a wearable sensor system. METHODS: A pretest-posttest design was used to examine retrospectively collected manual documentation and prospectively collected sensor documentation of patient repositioning events in a 148-bed rural community hospital. Repositioning documentation manually entered into electronic health records during the baseline period (January 1 to February 28, 2018) was compared with automatic, sensor-based repositioning documentation during the implementation period (corresponding months in 2019 and 2020 to eliminate seasonality). RESULTS: A convenience sample of 105 patient records was reviewed. The mean documented patient repositioning interval was 6.6 hours in the baseline period and 2.4 hours in the implementation period. The improvement was most pronounced in patients with obesity, whose mean repositioning interval improved from 9.4 hours to 2.5 hours. Documentation compliance (actual vs expected repositioning documentation) was 31% with manual documentation and 82% with automatic sensor-based documentation. CONCLUSIONS: Repositioning was documented more than 2.5 times as frequently with sensor technology as with manual data entry. Body position and reasons for delayed repositioning events were documented more completely with sensor technology. Automated documentation may improve the accuracy of electronic health records and reduce the documentation burden for nurses.

Characteristics of Nursing Home Resident Movement Patterns: Results from the TEAM-UP Trial.

OBJECTIVE: To determine movement patterns of nursing home residents, specifically those with dementia or obesity, to improve repositioning approaches to pressure injury (PrI) prevention. METHODS: A descriptive exploratory study was conducted using secondary data from the Turn Everyone And Move for Ulcer Prevention (TEAM-UP) clinical trial examining PrI prevention repositioning intervals. K-means cluster analysis used the average of each resident's multiple days' observations of four summary mean daily variables to create homogeneous movement pattern clusters. Growth mixture models examined movement pattern changes over time. Logistic regression analyses predicted resident and nursing home cluster group membership. RESULTS: Three optimal clusters partitioned 913 residents into mutually exclusive groups with significantly different upright and lying patterns. The models indicated stable movement pattern trajectories across the 28-day intervention period. Cluster profiles were not differentiated by residents with dementia (n = 450) or obesity (n = 285) diagnosis; significant cluster differences were associated with age and Braden Scale total scores or risk categories. Within clusters 2 and 3, residents with dementia were older (P < .0001) and, in cluster 2, were also at greater PrI risk (P < .0001) compared with residents with obesity; neither group differed in cluster 1. CONCLUSIONS: Study results determined three movement pattern clusters and advanced understanding of the effects of dementia and obesity on movement with the potential to improve repositioning protocols for more effective PrI prevention. Lying and upright position frequencies and durations provide foundational knowledge to support tailoring of PrI prevention interventions despite few significant differences in repositioning patterns for residents with dementia or obesity.

Effect of Varying Repositioning Frequency on Pressure Injury Prevention in Nursing Home Residents: TEAM-UP Trial Results.

OBJECTIVE: To investigate the clinical effectiveness of three nursing-home-wide repositioning intervals (2-, 3-, or 4-hour) without compromising pressure injury (PrI) incidence in 4 weeks. METHODS: An embedded pragmatic cluster randomized controlled trial was conducted in nine nursing homes (NHs) that were randomly assigned to one of three repositioning intervals. Baseline (12 months) and 4-week intervention data were provided during the TEAM-UP (Turn Everyone And Move for Ulcer Prevention) study. Intervention residents were without current PrIs, had PrI risk (Braden Scale score) ≥10 (not severe risk), and used viable 7-inch high-density foam mattresses. Each arm includes three NHs with an assigned single repositioning interval (2-, 3-, or 4-hour) as standard care during the intervention. A wireless patient monitoring system, using wearable single-use patient sensors, cued nursing staff by displaying resident repositioning needs on conveniently placed monitors. The primary outcome was PrI incidence; the secondary outcome was staff repositioning compliance fidelity. RESULTS: From May 2017 to October 2019, 1,100 residents from nine NHs were fitted with sensors; 108 of these were ineligible for some analyses because of missing baseline data. The effective sample size included 992 residents (mean age, 78 ± 13 years; 63% women). The PrI incidence during the intervention was 0.0% compared with 5.24% at baseline, even though intervention resident clinical risk scores were significantly higher (P < .001). Repositioning compliance for the 4-hour repositioning interval (95%) was significantly better than for the 2-hour (80%) or 3-hour (90%) intervals (P < .001). CONCLUSIONS: Findings suggest that current 2-hour protocols can be relaxed for many NH residents without compromising PrI prevention. A causal link was not established between repositioning interval treatments and PrI outcome; however, no new PrIs developed. Compliance improved as repositioning interval lengthened.

To Turn or Not to Turn: Exploring Nurses' Decision-Making Processes Concerning Regular Turning of Nursing Home Residents.

Background: Nursing home (NH) residents are at high-risk for pressure injuries (PrIs), and those living with Alzheimer's Disease and Related Dementias (ADRD) are at even greater risk. Understanding how nursing staff approach repositioning remains critical. Methods: As part of an ongoing clinical trial, this mixed-method prospective, exploratory, descriptive study examined repositioning efforts for PrI prevention. An investigator-developed checklist guided researcher observations, and focus groups revealed staff perspective on resident behaviors and corresponding repositioning approaches. Focus group transcripts were analyzed using the constant comparative coding method. Results: Repositioning observations were conducted for 88 residents. Resident behaviors and nursing approaches were similar between the ADRD (n = 62, 70%) and non-ADRD (n = 26, 30%) groups. Thirty-six staff participated in one of six focus group sessions. A conceptual model was developed to depict the repositioning process. Staff revealed care is guided by clinical frameworks and guidelines, along with resident preferences and behaviors. Conclusions: Protocol-driven, standardized PrI prevention care may limit the capacity to honor repositioning preferences. Insights from the focus groups highlight the importance of being cognizant of competing factors that may interfere with successful repositioning. Approaches by staff may be protocol-driven or an integrated method of care.

Subsequent Pressure Injury Development in Mechanically Ventilated Critical Care Patients with Hospital-Acquired Pressure Injury: A Retrospective Cohort Study.

OBJECTIVE: To identify factors associated with subsequent hospital-acquired pressure injury (HAPrI) formation among patients in surgical and cardiovascular surgical ICUs with an initial HAPrI. METHODS: Patients admitted to a level 1 trauma center and academic medical center in the Western US between 2014 and 2018 were eligible for this retrospective cohort study. Inclusion criteria were development of an HAPrI stage 2 or above, age older than 18 years, the use of mechanical ventilation for at least 24 hours, and documentation of a risk-based HAPrI-prevention plan including repositioning at least every 2 hours. The primary outcome measure was development of a second, subsequent HAPrI stage 2 or higher. Potential predictor variables included demographic factors, shock, Charleston comorbidity score, blood gas and laboratory values, surgical factors, vasopressor infusions, levels of sedation or agitation, Braden Scale scores, and nursing skin assessment data. RESULTS: The final sample consisted of 226 patients. Among those, 77 (34%) developed a second HAPrI. Independent risk factors for subsequent HAPrI formation were decreased hemoglobin (odds ratio, 0.71; 95% confidence interval [CI], 0.53-0.92; P < .000), vasopressin infusion (odds ratio, 2.20; 95% CI, 1.17-4.26; P = .02), and longer length of stay in the ICU (odds ratio, 1.01; 95% CI, 1.00-1.02; P = .009). CONCLUSIONS: Patients with an HAPrI are at high risk of subsequent HAPrI development. Anemia, vasopressin infusion, and longer ICU stays are independent risk factors for repeat HAPrI formation.

Angiosomal Vascular Occlusions, Deep-Tissue Pressure Injuries, and Competing Theories: A Case Report.

ABSTRACT: Compression of the soft tissue between a support surface and a bony prominence has long been the accepted primary mechanism of pressure injury (PrI) formation, with the belief that said compression leads to capillary occlusion, ischemia, and tissue necrosis. This explanation presupposes an "outside-in" pathophysiologic process of tissue damage originating at the local capillary level. Despite advances in prevention protocols, there remains a stubbornly consistent incidence of severe PrIs including deep-tissue injuries, the latter usually evolving into stage 4 PrIs with exposed bone or tendon. This article presents just such a perioperative case with the aim of providing further evidence that these more severe PrIs may result from ischemic insults of a named vessel within specific vascular territories (labeled as angiosomes). Pressure is indeed a factor in the formation of severe PrIs, but these authors postulate that the occlusion occurred at the level of a named artery proximal to the lesion. This vascular event was likely attributable to low mean arterial pressure. The authors suggest that the terminology proposed three decades ago to call both deep-tissue injuries and stage 4 PrIs "vascular occlusion pressure injuries" should be the topic of further research and expert consensus.

Hospital acquired pressure injury prediction in surgical critical care patients.

BACKGROUND: Hospital-acquired pressure injuries (HAPrIs) are areas of damage to the skin occurring among 5-10% of surgical intensive care unit (ICU) patients. HAPrIs are mostly preventable; however, prevention may require measures not feasible for every patient because of the cost or intensity of nursing care. Therefore, recommended standards of practice include HAPrI risk assessment at routine intervals. However, no HAPrI risk-prediction tools demonstrate adequate predictive validity in the ICU population. The purpose of the current study was to develop and compare models predicting HAPrIs among surgical ICU patients using electronic health record (EHR) data. METHODS: In this retrospective cohort study, we obtained data for patients admitted to the surgical ICU or cardiovascular surgical ICU between 2014 and 2018 via query of our institution's EHR. We developed predictive models utilizing three sets of variables: (1) variables obtained during routine care + the Braden Scale (a pressure-injury risk-assessment scale); (2) routine care only; and (3) a parsimonious set of five routine-care variables chosen based on availability from an EHR and data warehouse perspective. Aiming to select the best model for predicting HAPrIs, we split each data set into standard 80:20 train:test sets and applied five classification algorithms. We performed this process on each of the three data sets, evaluating model performance based on continuous performance on the receiver operating characteristic curve and the F1 score. RESULTS: Among 5,101 patients included in analysis, 333 (6.5%) developed a HAPrI. F1 scores of the five classification algorithms proved to be a valuable evaluation metric for model performance considering the class imbalance. Models developed with the parsimonious data set had comparable F1 scores to those developed with the larger set of predictor variables. CONCLUSIONS: Results from this study show the feasibility of using EHR data for accurately predicting HAPrIs and that good performance can be found with a small group of easily accessible predictor variables. Future study is needed to test the models in an external sample.