Subscales, subscores, or summative score: evaluating the contribution of Braden Scale items for predicting pressure ulcer risk in older adults receiving home health care

Detection and classification methodology for movements in the bed that supports continuous pressure injury risk assessment and repositioning compliance

Pressure injuries are costly to the healthcare system and mostly preventable, yet incidence rates remain high. Recommendations for improved care and prevention of pressure injuries from the Joint Commission revolve around continuous monitoring of prevention protocols and prompts for the care team. The E-scale is a bed weight monitoring system with load cells placed under the legs of a bed. This study investigated the feasibility of the E-scale system for detecting and classifying movements in bed which are relevant for pressure injury risk assessment using a threshold-based detection algorithm and a K-nearest neighbor classification approach. The E-scale was able to detect and classify four types of movements (rolls, turns in place, extremity movements and assisted turns) with >94% accuracy. This analysis showed that the E-scale could be used to monitor movements in bed, which could be used to prompt the care team when interventions are needed and support research investigating the effectiveness of care plans.

Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model

OBJECTIVE

Hospital-acquired pressure ulcers (HAPUs) have a mortality rate of 11.6%, are costly to treat, and result in Medicare reimbursement penalties. Medicare codes HAPUs according to Agency for Healthcare Research and Quality Patient-Safety Indicator 3 (PSI-03), but they are sometimes inappropriately coded. The objective is to use electronic health records to predict pressure ulcers and to identify coding issues leading to penalties.

MATERIALS AND METHODS

We evaluated all hospitalized patient electronic medical records at an academic medical center data repository between 2011 and 2014. These data contained patient encounter level demographic variables, diagnoses, prescription drugs, and provider orders. HAPUs were defined by PSI-03: stages III, IV, or unstageable pressure ulcers not present on admission as a secondary diagnosis, excluding cases of paralysis. Random forests reduced data dimensionality. Multilevel logistic regression of patient encounters evaluated associations between covariates and HAPU incidence.

RESULTS

The approach produced a sample population of 21 153 patients with 1549 PSI-03 cases. The greatest odds ratio (OR) of HAPU incidence was among patients diagnosed with spinal cord injury (ICD-9 907.2: OR = 14.3; P  < .001), and 71% of spinal cord injuries were not properly coded for paralysis, leading to a PSI-03 flag. Other high ORs included bed confinement (ICD-9 V49.84: OR = 3.1, P  < .001) and provider-ordered pre-albumin lab (OR = 2.5, P  < .001).

DISCUSSION

This analysis identifies spinal cord injuries as high risk for HAPUs and as being often inappropriately coded without paralysis, leading to PSI-03 flags. The resulting statistical model can be tested to predict HAPUs during hospitalization.

CONCLUSION

Inappropriate coding of conditions leads to poor hospital performance measures and Medicare reimbursement penalties.

Identifying the right surface for the right patient at the right time: generation and content validation of an algorithm for support surface selection

Support surfaces are an integral component of pressure ulcer prevention and treatment, but there is insufficient evidence to guide clinical decision making in this area. In an effort to provide clinical guidance for selecting support surfaces based on individual patient needs, the Wound, Ostomy and Continence Nurses Society (WOCN®) set out to develop an evidence- and consensus-based algorithm. A Task Force of clinical experts was identified who: 1) reviewed the literature and identified evidence for support surface use in the prevention and treatment of pressure ulcers; 2) developed supporting statements for essential components for the algorithm, 3) developed a draft algorithm for support surface selection; and 4) determined its face validity. A consensus panel of 20 key opinion leaders was then convened that: 1.) reviewed the draft algorithm and supporting statements, 2.) reached consensus on statements lacking robust supporting evidence, 3.) modified the draft algorithm and evaluated its content validity. The Content Validity Index (CVI) for the algorithm was strong (0.95 out of 1.0) with an overall mean score of 3.72 (out of 1 to 4), suggesting that the steps were appropriate to the purpose of the algorithm. To our knowledge, this is the first evidence and consensus based algorithm for support surface selection that has undergone content validation.

A systematic review and meta-analysis of incontinence-associated dermatitis, incontinence, and moisture as risk factors for pressure ulcer development

The aim of this analysis was to identify the association between incontinence-associated dermatitis (IAD), its most important etiologic factors (incontinence and moisture), and pressure ulcers (PUs). A systematic review and meta-analysis were performed. We searched Medline, Embase, CINAHL, Web of Science, and the Cochrane Library for relevant papers dating through March 15, 2013. Fifty-eight studies were included. Measures of relative effect at the univariate level were meta-analyzed. In most studies (86%), a significant association between variables of interest was found, with pooled odds ratios of PUs in univariate models between 1.92 (95% CI 1.54-2.38) for urinary incontinence and 4.99 (95% CI 2.62-9.50) for double incontinence (p < .05). This evidence indicates an association between IAD, its most important etiological factors, and PUs. Methodological issues should be considered when interpreting the results of this review.

Hip fracture and pressure ulcers - the Pan-European Pressure Ulcer Study - intrinsic and extrinsic risk factors

Pressure ulcers (PU) in patients with hip fracture remain a problem. Incidence of between 8.8% and 55% have been reported. There are few studies focusing on the specific patient-, surgery- and care-related risk indicators in this group. The aims of the study were: - to investigate prevalence and incidence of PU upon arrival and at discharge from hospital and to identify potential intrinsic and extrinsic risk factors for development of PU in patients admitted for hip fracture surgery, - to illuminate potential differences in patient logistics, surgery, PU prevalence and incidence and care between Northern and Southern Europe. Consecutive patients with hip fracture in six countries, Sweden, Finland, UK (North) and Spain, Italy and Portugal (South), were included. The patients were followed from Accident and Emergency Department and until discharge or 7 days. Prevalence, PU at discharge and incidence were investigated, and intrinsic and extrinsic risk indicators, including waiting time for surgery and duration of surgery were recorded. Of the 635 patients, 10% had PU upon arrival and 22% at discharge (26% North and 16% South). The majority of ulcers were grade 1 and none was grade 4. Cervical fractures were more common in the North and trochanteric in the South. Waiting time for surgery and duration of surgery were significantly longer in the South. Traction was more common in the South and perioperative warming in the North. Risk factors of statistical significance correlated to PU at discharge were age >or=71 (P = 0.020), dehydration (P = 0.005), moist skin (P = 0.004) and total Braden score (P = 0.050) as well as subscores for friction (P = 0.020), nutrition (P = 0.020) and sensory perception (P = 0.040). Comorbid conditions of statistical significance for development of PU were diabetes (P = 0.005) and pulmonary disease (P = 0.006). Waiting time for surgery, duration of surgery, warming or non warming perioperatively, type of anaesthesia, traction and type of fracture were not significantly correlated with development of PU.