Scar wars

Möller, E; Martinez, R; Rode, H; Adams, S

doi:10.17159/2078-5151/2019/v57n4a3021

Cited by 3 publications

(1 citation statement)

References 21 publications

(22 reference statements)

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“…Moreover, Epstein and Wisner [25] recognize that a well-organized SBSC can support companies in the implementation of the effective sustainability strategy. The suitability of SBSC to prepare and design a company sustainability management strategy is primarily concerned with the ability to identify the relationship between the long-term social and environmental goals and short-term corporate finance [26]. SBSC is also deliberated as an appropriate tool to disclose the company sustainability performance information [24].…”

Section: Literature Reviewmentioning

confidence: 99%

Using Sustainable Balanced Scorecard and Graph Theoretic Approach to Make Decision in Reverse Logistic

2018

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The aim of this study is to identify the decision should be made by the company to manage their reverse logistics activity. In this study, the company should decide whether the reverse logistic activity must be outsourced part of reverse logistics activity or all must be outsourced or nothing must be outsourced. The object of this study is PT. XYZ -a foreign-owned electronics company and there is four scenario for reverse logistic activity proposed by the company. This study uses a graph-theoretic approach as the method to consider interdependencies and maintaining the hierarchical relationship among attributes and sub-attributes which is important to determine the best scenario of reverse logistic. The attributes and sub-attributes were selected by combining four traditional balanced scorecard perspectives with two perspectives of sustainability, i.e. environmental and social. This research used primary data collected by distributing closed questionnaires to the management of the company. The data processing with a graphtheoretic approach generates the permanent function which is known as the outsourcing index for each scenario. The outsourcing index for first until the fourth scenario is 52. 71, 70.97, 89.86, and 81.27 respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Using Sustainable Balanced Scorecard and Graph Theoretic Approach to Make Decision in Reverse Logistic

2018

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Clarifying sleep characteristics and analyzing risk factors of sleep disorders to promote a predictive, preventive, and personalized medicine in patients with burn scars

Liu¹,

Shu²,

Ji³

et al. 2023

EPMA Journal

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Purpose This study assessed sleep quality in patients with burn scars and investigated risk factors of sleep disorders to guide clinical therapy. From the strategy of predictive, preventive, and personalized medicine (PPPM/3PM), we proposed that risk assessment based on clinical indicators could prompt primary prediction, targeted prevention, and personalized interventions to improve the management of sleep disorders present in patients with burn scars. Methods This retrospective study recruited patients with burn scars and healthy volunteers from the Shanghai Burn Treatment Center between 2017 and 2022. Relevant information and data, including demographic characteristics, scar evaluation, and sleep quality, were obtained through the hospital information system, classical scar scale, and self-report questionnaires. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) and monitored using a cardiopulmonary-coupled electrocardiograph. Pain and pruritus were assessed using the visual analog scale (VAS). Scar appearance was assessed using the modified Vancouver scar scale (mVSS). Results The sample was comprised of 128 hypertrophic scar (HS) patients, with 61.7% males, a mean age of 41.1 ± 11.6 years, and burn area of 46.2 ± 27.9% total body surface area (TBSA). Patients with PSQI ≥ 7 accounted for 76.6%, and the global PSQI score was 9.4 ± 4.1. Objective sleep data showed that initial enter deep sleep time, light sleep time, awakening time, light sleep efficiency, and sleep apnea index were higher but deep sleep time, sleep efficiency, and deep sleep efficiency were lower in HS patients than that in healthy controls. Preliminary univariate analysis showed that age, hyperplasia time of scar, narrow airway, microstomia, VAS for pain and pruritus, and mVSS total (comprised of pigmentation, vascularity, height and pliability) were associated with the PSQI score ( p < 0.1). Multivariable linear regression showed narrow airway, VAS for pain and pruritus, and mVSS specifically height, were the risk factors for PSQI score ( p < 0.1). Conclusions This study model identified that narrow airway, pain, pruritus and scar appearance specifically height may provide excellent predictors for sleep disorders in HS patients. Our results provided a basis for the predictive diagnostics, targeted prevention, and individualized therapy of somnipathy predisposition and progression of HS patients in the setting of PPPM/3PM health care system, which contributed to a paradigm shift from reactive cure to advanced therapy.

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Analysis of the predictors of hypertrophic scarring pain and neuropathic pain after burn

Shu¹,

Liu²,

Lou³

et al. 2022

Burns

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Scar wars

Cited by 3 publications

References 21 publications

Using Sustainable Balanced Scorecard and Graph Theoretic Approach to Make Decision in Reverse Logistic

Using Sustainable Balanced Scorecard and Graph Theoretic Approach to Make Decision in Reverse Logistic

Clarifying sleep characteristics and analyzing risk factors of sleep disorders to promote a predictive, preventive, and personalized medicine in patients with burn scars

Analysis of the predictors of hypertrophic scarring pain and neuropathic pain after burn

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