Devanabanda B, Louis MA, Schlussel Y, Mashchenko I, Charles M, Sinha A, Louis JA, Chen A, Maloof M. The patient behind the wound assessment and plan.
J Wound Care 2022;
31:S30-S40. [PMID:
35797248 DOI:
10.12968/jowc.2022.31.sup7.s30]
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Abstract
OBJECTIVE
Hard-to-heal wounds are a common problem, worsened by ageing, and the increased prevalence of diabetes and morbid obesity. The provider-patient relationship has undergone a transformation, from a paternalistic to a mutual participation model, in which 'the physician tries to enter the patient's world to see the illness through the patient's eyes'. The indepth assessment of the impact of psychosocial, physical issues and provider-patient dynamics is crucial to wound healing and patient wellbeing. It can customise future treatment including physical therapy, psychological and social interventions to improve outcomes.
METHOD
A new health-related quality of life instrument (HRQOL) proposal based on a survey consisting of 20 questions was completed by patients as a pilot project. The psychosocial, physical and provider-patient dynamics were evaluated. A total wound impact score (WIs) was tabulated, ranging from 20-80 points. A wound assessment and plan (PBW-AP) was created.
RESULTS
In our sample of 25 patients, 75% experienced a moderate WIs (50-69) and 5% experienced a severe WIs (31-49). Feeling angry about having a wound was reported by 40% of patients. A majority of patients (60%) thought about their wounds >1 hour per day. Importantly, 24% answered that their primary care physicians never mentioned their wounds.
CONCLUSION
It is important for all physicians taking care of patients with hard-to-heal wounds to see 'the patient behind the wound'. The PBW-AP algorithm is an individualised, multidisciplinary assessment and intervention based on a WIs. It is designed not only to identify but also to tackle psychosocial, physical, and provider-patient issues, to improve overall quality of life, patient satisfaction and clinical outcomes. Based on the results, the PBW-AP algorithm was designed to be used at initial and subsequent visits as a roadmap for problem identification and intervention.
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