title: Elements affecting wound healing time: An evidence based analysis.
abstract: The purpose of this study was to identify the predominant client factors and comorbidities that affected the time taken for wounds to heal. A prospective study design used the Mobile Wound Care (MWC) database to capture and collate detailed medical histories, comorbidities, healing times and consumable costs for clients with wounds in Gippsland, Victoria. There were 3,726 wounds documented from 2,350 clients, so an average of 1.6 wounds per client. Half (49.6%) of all clients were females, indicating that there were no gender differences in terms of wound prevalence. The clients were primarily older people, with an average age of 64.3 years (ranging between 0.7 and 102.9 years). The majority of the wounds (56%) were acute and described as surgical, crush and trauma. The MWC database categorized the elements that influenced wound healing into 3 groups--factors affecting healing (FAH), comorbidities, and medications known to affect wound healing. While there were a multitude of significant associations, multiple linear regression identified the following key elements: age over 65 years, obesity, nonadherence to treatment plan, peripheral vascular disease, specific wounds associated with pressure/friction/shear, confirmed infection, and cerebrovascular accident (stroke). Wound healing is a complex process that requires a thorough understanding of influencing elements to improve healing times.© 2015 by the Wound Healing Society.
authors.affiliation: Monash University, Faculty of Medicine, Nursing and Health Sciences, School of Rural Health, Victoria, Australia.
authors.forename: Hanan
authors.initials: H
authors.lastname: Khalil
authors.affiliation: Latrobe Community Health Centre, Morwell, Victoria, Australia.
authors.forename: Marianne
authors.initials: M
authors.lastname: Cullen
authors.affiliation: Monash University, Faculty of Medicine, Nursing and Health Sciences, School of Rural Health, Victoria, Australia.
authors.forename: Helen
authors.initials: H
authors.lastname: Chambers
authors.affiliation: Monash University, Faculty of Medicine, Nursing and Health Sciences, School of Rural Health, Victoria, Australia.
authors.forename: Matthew
authors.initials: M
authors.lastname: Carroll
authors.affiliation: Monash University, Faculty of Medicine, Nursing and Health Sciences, School of Rural Health, Victoria, Australia.
authors.forename: Judi
authors.initials: J
authors.lastname: Walker
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D007223:Infant; D008297:Male; D008875:Middle Aged; D011159:Population Surveillance / Q000379:methods*; D011446:Prospective Studies; D012042:Registries; D013997:Time Factors; D014739:Victoria / Q000453:epidemiology; D014945:Wound Healing / Q000502:physiology*; D014947:Wounds and Injuries / Q000453:epidemiology / Q000473:pathology*; D055815:Young Adult
keywords: comorbidities; factors; wound healing