Supplementing the Braden scale for pressure ulcer risk among medical inpatients: the contribution of self‐reported symptoms and standard laboratory tests

Skogestad, Ingrid Johansen; Martinsen, Liv; Børsting, Tove Elisabet; Granheim, Tove Irene; Ludvigsen, Eirin Sigurdssøn; Lerdal, Anners

doi:10.1111/jocn.13438

Cited by 36 publications

(50 citation statements)

References 41 publications

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“…shown to be at an increased risk for HAPI. Schoonhoven et al, 2006;Raff et al, 2016;Slowikowski & Funk, 2010;Aljezawi et al, 2014;Connor, Sledge, Bryant-Wiersema, Stamm, & Potter, 2010;Corniello et al, 2014;Bredesen, Bjoro, Gunningberg, & Hofoss, 2015;Brito, Vasconcelos Generoso, & Correia, 2013;Skogestad et al, 2017;Sardo et al, 2016;Delmore et al, 2015;Cowan et al, 2012;Rao et al, 2016;Fred, Ford, Wagner, & VanBrackle, 2012;Hyun et al, 2014;Man & Au-Yeung, 2013;Saunders et al, 2012;Smit et al, 2016;Yoshimura et al, 2015;Demarre et al, 2015;Baumgarten et al, 2006;…”

Section: Tissue Tolerancementioning

confidence: 99%

The pressure injury predictive model: A framework for hospital‐acquired pressure injuries

Tschannen

Anderson

2020

Journal of Clinical Nursing

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Background Despite decades of research, pressure injuries continue to be a source of significant pain and delayed recovery for patients and substantial quality and cost issues for hospitals. Consideration of the current thinking around pressure injury risk must be evaluated to improve risk assessments and subsequent nursing interventions aimed at reducing hospital‐acquired pressure injuries. Design This is a discursive paper using Walker and Avant’s (2005) theory synthesis framework to examine the relevance of existing pressure injury models as they align with the current literature. Methods PubMed and CINAHL indexes were searched, first for conceptual models and then for pressure injury research conducted on hospitalised patients for the years 2006–2016. A synthesis of the searches culminated into a new pressure injury risk model. Conclusions Gaps in previous models include lack of attention to the environment, contributing episode‐of‐care factors and the dynamic nature of injury risk for patients. Through theory synthesis, the need for a new model representing the full risk for pressure injury was identified. The Pressure Injury Predictive Model is a representation of the complex and dynamic nature of pressure injury risk that builds on previous models and addresses new patient, contextual and episode‐of‐care process influences. The Pressure Injury Predictive Model (PIPM) provides a more accurate picture of the complexity of contextual and process factors associated with pressure injury development. Relevance to Clinical Practice Using the PIPM to determine risk can result in improved risk identification. This information can be used to implement targeted, evidence‐based pressure injury prevention interventions specific to the patient risk profile, thus limiting unwarranted and unnecessary care.

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Section: Tissue Tolerancementioning

confidence: 99%

The pressure injury predictive model: A framework for hospital‐acquired pressure injuries

Tschannen

Anderson

2020

Journal of Clinical Nursing

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“…It is recognised that older patients, patients with diabetes and patients who are bedfast are at higher risk for pressure ulcer (Coleman et al., , ; Fife et al., ; Sving, Idvall, Hogberg, & Gunningberg, ). Moreover, factors such as haematological, nutritional and general health status have been associated with pressure ulcer risk (Brito, de Vasconcelos Generoso, & Correia, ; Coleman et al., ; Langer & Fink, ; Skogestad et al., ). The magnitude of potential risk factors makes it difficult to develop generic risk assessment tools, and few studies add evidence about the preventive impact of risk assessment tools (Moore & Cowman, ).…”

Section: Introductionmentioning

confidence: 99%

Prevalence of pressure ulcer and associated risk factors in middle‐ and older‐aged medical inpatients in Norway

Børsting

Tvedt

Skogestad

et al. 2017

Journal of Clinical Nursing

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“…Mainly, contributing factors are associated to the patient's condition, health care provider and health care delivery system [29]. A review of several studies, aimed to identify factors related to the pressure ulcer in clinical setting, indicated that immobility [5,16,[30][31][32], length of hospital stay [16,30,[32][33][34][35], Older age [16,30,36],reduced sensory perception [16,33,36,37], fecal and urinary incontinence [36,38], worse Braden scores [6,30,36,[39][40][41], comorbidity [6,30], and nutrition [31,37,40,42,43] was found to be statically significant risk factor for PU. However, repositioning would reduce the magnitude of pressure over vulnerable areas of the body [1].…”

Section: Introductionmentioning

confidence: 99%

Evidence on the Effect of Position Change on Pressure Ulcer among Hospitalized Adult Patients in Ethiopia: Meta-Analysis and Systematic Review

Shibabaw¹,

Aynalem²,

Akalu³

2019

Preprint

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Background: Pressure ulcers (PU) aﬀect millions of people worldwide and always occur over bony areas of the body where pressure and tissue distortion is greatest. The national pooled prevalence of pressure ulcer remains unknown. Hence, the aim of this meta-analysis was to determine the effect of position change on pressure ulcer among hospitalized clients in Ethiopia. Methods: Studies were retrieved through search engines in PubMed, Scopus, WHO afro library, Google Scholar, Africa journal online, PsycINFO and web-science following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). Analysis was done using STATA version 14 software. We checked the between-study heterogeneity using the I2 and examined a potential publication bias by visual inspection of the funnel plot and Egger’s regression test statistic. The random-effect model was fitted to estimate the summary effects, odds ratios (ORs), and 95% confidence interval (CIs) across studies. Results: Out of the reviewing 401 studies, 7 studies fulfilled the inclusion criteria and were included in the meta-analysis. The estimated pooled prevalence of pressure ulcer in Ethiopia was 11.7% (95% CI (7.28, 16.13%)). Based on the subgroup analysis, the estimated magnitude of pressure ulcer was 15.89% (95% CI: 35.34, 54.04) among studies their sample size were greater than or equals to 250. Those clients who have position change during hospitalization were 85% less likely to develop pressure ulcer [(OR 0.15, 95%CI (0.06, 0.4)] than their counter part. Conclusion: The overall prevalence of pressure ulcer in Ethiopia was relatively high. Position change of the client during hospitalization had paramount benefit to reduce the burden of pressure ulcer. Therefore, policymakers could give special attention to minimize the magnitude of pressure ulcer in order to improve the overall quality of healthcare service. Further meta-analysis study is need to identify individual and health care service related factors to the occurrence of pressure ulcer.

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Supplementing the Braden scale for pressure ulcer risk among medical inpatients: the contribution of self‐reported symptoms and standard laboratory tests

Abstract: Nurses play a key role in preventing pressure ulcers during hospitalisation. A better understanding of the underlying mechanisms may improve the quality of care. Knowledge about symptoms associated with pressure ulcer risk may contribute to a faster clinical judgment of patients at risk.

Cited by 36 publications

References 41 publications

The pressure injury predictive model: A framework for hospital‐acquired pressure injuries

The pressure injury predictive model: A framework for hospital‐acquired pressure injuries

Prevalence of pressure ulcer and associated risk factors in middle‐ and older‐aged medical inpatients in Norway

Evidence on the Effect of Position Change on Pressure Ulcer among Hospitalized Adult Patients in Ethiopia: Meta-Analysis and Systematic Review

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