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.
Measuring the prevalence of wounds within health care systems is a challenging and complex undertaking. This is often compounded by the clinicians' training, the availability of the required data to collect, incomplete documentation and lack of reporting of this type of data across the various health care settings. To date, there is little published data on wound prevalence across regions or states. This study aims to identify the number and types of wounds treated in the Gippsland area using the Mobile Wound Care (MWC™) program. The MWC program has enabled clinicians in Gippsland to collect data on wounds managed by district nurses from four health services. The main outcomes measured were patient characteristics, wound characteristics and treatment characteristics of wounds in Gippsland. These data create several clinical and research opportunities. The identification of predominant wound aetiologies in Gippsland provides a basis on which to determine a regional wound prospective and the impact of the regional epidemiology. Training that incorporates best practice guidelines can be tailored to the most prevalent wound types. Clinical pathways that encompass the Australian and New Zealand clinical practice guidelines for the management of venous leg ulcers can be introduced and the clinical and economical outcomes can be quantitatively measured. The MWC allows healing times (days) to be benchmarked both regionally and against established literature, for example, venous leg ulcers.
To describe the steps needed for a successful implementation of an e-health programme (the Mobile Wound Care system) in rural Victoria, Australia and to provide recommendations for future e-health initiatives. Wound care is a major burden on the health care system. Optimal wound care was found to be impeded by issues that included the limited access to health care providers, incomplete and inconsistent documentation and limited access to expert review. This study trialled the use of a shared electronic wound reporting and imaging system in combination with an expert remote wound consultation service for the management of patients with chronic and acute wounds in Gippsland. The trial sites included four rural Home and Community Health Care providers. Considerable effort was put into designing a best practice e-health care programme. There was support from managers and clinicians at regional and local levels to address an area of health care considered a priority. Various issues contributing to the successful implementation of the wound care project were identified: the training model, quality of data collected, demands associated with multiple sites across a vast geographic region, computer access, hardware and computer literacy.
The purpose of this arm of the study was to investigate the impact of medication on healing times of the various wound types, including acute wounds and leg ulcers. A prospective longitudinal study design was used, with de-identified data collected using an electronic mobile wound care database system. Three main categories of data were collected, including patients' demographics, wounds types and treatment characteristics. For acute wounds, there was a total of 1732 patients with 2089 acute wounds. The average healing time was about 35 days. The only significant association was with chemotherapy, which increased healing time by 21 days (P = 0·048). There were non-significant trends towards reduced healing times with antibiotics (0·5 days; P = 0·853), anticoagulants (1·7 days, P = 0·673) and corticosteroids (4·98 days, P = 0·303). Non-steroidal anti-inflammatory drugs (NSAIDs) were associated with a non-significant increase in healing time (2·17 days, P = 0·707). For leg ulcers, there was a total of 264 patients with 370 leg ulcers. We only examined the impact of antibiotics, anticoagulants, corticosteroids and NSAIDs on healing times as they had an adequate number of wounds to analyse. The average healing times of leg ulcers were found to be 73 days. None of the classes of medications had any significant impact on healing time. Both anticoagulants and NSAIDs increased healing time by (22·5 days, P = 0·08) and (12·5 days, P = 0·03), respectively. On the other hand, antibiotics and corticosteroids decreased healing times non-significantly by (9·1 days, P = 0·33) and (21·6 days, P = 0·84), respectively.
Globally, wound care costs the health care system 2-3% of the total expenditure on health, which equates to several billion dollars annually. To date, there are little data on the cost and healing rates of various wounds. This has been partly because of the difficulty in tracking wound management as the majority of wound care data has been focused on retrospective data from hospitals, general practice clinics and aged care facilities. This study reports on wound healing and cost of wounds collected from a larger project using the mobile wound care (MWC) electronic documentation system, which has been described elsewhere. The study involved 2350 clients from four health service districts in the Gippsland region in rural Australia who received treatments as part of the MWC research project (2010-2012), with a total of 3726 wounds identified (so an average of 1·6 wounds per client). By the end of the data collection period, 81% of these wounds had healed. A significant drop in healing time, cost of consumables and number of visits was found across the 3-year period.
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