PURPOSE: Walking ability in general and specifically for lower limb amputees is of major importance for social mobility and ADL independence. Walking determines prosthesis prescription. The aim of this study was to mathematically analyse factors influencing claimed walking distance of lower limb amputees of 500 m or more.METHOD: A total of 437 patients returned two questionnaires: the Groningen Questionnaire Problems after Leg Amputation, in which walking distance was assessed, and the RAND 36.RESULTS: The chance of walking 500 m or more reduced when a transfemoral amputation was performed. The chance reduced even more when phantom pain or stump pains were present. If the amputation was performed because of vascular disease or because of vascular problems because of diabetes the chance reduced again. Independently of these factors, age reduced the chance of walking 500 m or more.CONCLUSION: The chance of walking 500 m or more reduces with increase in age and a more proximal amputation. The chance reduces even further when the amputation is performed because of diabetes or vascular disease and also if phantom pain and or stump pain is present.
The purpose of this qualitative study was to explore the impact of an amputation and of phantom pain on the subjective well-being of amputees. Sixteen lower-limb amputees were interviewed. A semi-structured interview and two Visual Analogue Scales were used. To interpret the results, a new socio-medical model joining two models, 'The Disablement Process model' and the 'Social Production Function theory', was used. Questions were asked concerning the factors influencing patients' subjective well-being prior to, at the time of and after an amputation. These factors were patients' medical history, their phantom sensations and phantom pain, their daily activities, the social support they received, and the influence of an amputation and phantom pain on long-term behaviour and on their subjective well-being. All factors were found to have an influence on the individual's subjective well-being. All these factors, however, seemed to reinforce each other. Therefore, the greatest influence of factors on subjective well-being occurred when more than one factor was involved. Substituting certain activities by others then becomes less and less effective in inducing a sense of subjective well-being.
Objective: To evaluate the delivery, acceptance and experiences regarding a traditional and teletreatment approach to mirror therapy as delivered in a randomized controlled trial. Design: Mixed methods, prospective study. Setting: Rehabilitation centres, hospital and private practices. Subjects: Adult patients with phantom pain following lower limb amputation and their treating physical and occupational therapists. Interventions: All patients received 4 weeks of traditional mirror therapy (n=51), followed by 6 weeks of teletreatment (n=26) or 6 weeks of self-delivered mirror therapy (n=25). Main measures: Patient files, therapist logs, log files teletreatment, acceptance questionnaire and interviews with patients and their therapists. Results: In all, 51 patients and 10 therapists participated in the process evaluation. Only 16 patients (31%) received traditional mirror therapy according to the clinical framework during the first 4 weeks. Between weeks 5 and 10, the teletreatment was used by 14 patients (56%) with sufficient dose. Teletreatment usage decreased from a median number of 31 (weeks 5–10) to 19 sessions (weeks 11–24). Satisfactory teletreatment user acceptance rates were found with patients demonstrating higher scores (e.g. regarding the usefulness to control pain) than therapists. Potential barriers for implementation of the teletreatment perceived by patients and therapists were related to insufficient training and support as well as the frequency of technical problems. Conclusion: Traditional mirror therapy and the teletreatment were not delivered as intended in the majority of patients. Implementation of the teletreatment in daily routines was challenging, and more research is needed to evaluate user characteristics that influence adherence and how technology features can be optimized to develop tailored implementation strategies.