Dataset Information

Factors influencing perceived function in the upper limb prosthesis user population.

ABSTRACT:

Background

Patient-reported outcomes (PROs) can be used to evaluate perceived capacity of an individual in executing tasks in a natural environment with their prosthetic device. According to the World Health Organization International Classification of Health, Functioning, and Disability (ICF) models, there may be specific factors of a person, factors of assistive prosthetic technology, or factors related to the health condition or body function that affect their functioning and disability. However, an understanding of factors affecting an upper limb prosthesis user's perception of their ability to execute tasks in a natural environment is not well established.

Objective

To use the ICF model to identify which health condition-related, body function, environmental, and personal factors influence activity as measured by perceived function in the upper limb prosthesis user population.

Design

Quantitative clinical descriptive study.

Setting

Clinical offices within outpatient private practice (removed for blinding).

Participants

A sample of 101 participants with upper limb amputation who use a prosthetic device and were undergoing a prosthesis fitting process.

Interventions

Not applicable.

Main outcome measures

PROs on pain with/without a prosthesis, satisfaction, and perceived function derived from the Comprehensive Arm Prosthesis and Rehabilitation Outcomes Questionnaire.

Results

Model coefficients indicate that with a unit increase in satisfaction (p < .001) and pain (p = .031) scores (with higher pain scores signifying less pain), the mean of perceived function increases by 0.66 and 0.47 units, respectively. Conversely, for individuals with elbow disarticulation, transhumeral, shoulder disarticulation, and interscapulothoracic amputations, the mean of perceived function decreases by 22.02 units (p = .006).

Conclusions

Based on our sample, perceived function is significantly associated with satisfaction, pain, and amputation level. These findings could potentially help to inform initial clinical approach and targeted outcomes for patients based on these factors.

SUBMITTER: Zhang X

PROVIDER: S-EPMC10078776 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Publications

Factors influencing perceived function in the upper limb prosthesis user population.

Zhang Xuyuan X Baun Kerstin S KS Trent Lauren L Miguelez John M JM Kontson Kimberly L KL

PM & R : the journal of injury, function, and rehabilitation 20210926 1

<h4>Background</h4>Patient-reported outcomes (PROs) can be used to evaluate perceived capacity of an individual in executing tasks in a natural environment with their prosthetic device. According to the World Health Organization International Classification of Health, Functioning, and Disability (ICF) models, there may be specific factors of a person, factors of assistive prosthetic technology, or factors related to the health condition or body function that affect their functioning and disabili ...[more]

PMID: 34409777

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Project description:ObjectiveConsidering the high rejection rates of upper limb prostheses, it is important to determine which prosthesis fits best the needs of each user. The introduction of the multi-grip prostheses hands (MHP), which have functional advantages but are also more expensive, has made prosthesis selection even harder. Therefore, we aimed to identify user opinions on factors determining prosthesis choice of persons with major unilateral upper limb defects in order to facilitate a more optimal fit between user and prosthesis.MethodsA qualitative meta-synthesis using a 'best-fit framework' approach was performed by searching five databases (PROSPERO registration number: CRD42019126973). Studies were considered eligible if they contained qualitative content about adults with major unilateral upper limb defects experienced in using commercially available upper limb prostheses and focused on upper limb prosthesis users' opinions. Results of the meta-synthesis were validated with end-users (n = 11) in a focus group.ResultsOut of 6247 articles, 19 studies were included. An overview of six main themes ('physical', 'activities and participation', 'mental', 'social', 'rehabilitation, cost and prosthetist services' and 'prosthesis related factors') containing 86 subthemes that could affect prosthesis choice was created. Of these subthemes, 19 were added by the focus group. Important subthemes were 'work/school', 'functionality' and 'reactions from public'. Opinions of MHP-users were scarce. MHPs were experienced as more dexterous and life-like but also as less robust and difficult to control.ConclusionThe huge number of factors that could determine upper limb prosthesis choice explains that preferences vary greatly. The created overview can be of great value to identify preferences and facilitate user-involvement in the selection process. Ultimately, this may contribute to a more successful match between user and prosthesis, resulting in a decrease of abandonment and increase of cost-effectiveness.

Project description:ObjectiveUpper limb movement difficulties in children with acquired brain injury (ABI) result in longer recovery times compared with lower limb. Intensive neurorehabilitation promotes a good long-term functional outcome. Virtual reality (VR) and video game technologies are invaluable adjuncts to traditional neurological rehabilitation as they help to motivate, engage and gain children's compliance in goal-directed therapy. However, this technology is not routinely used in the National Health Service, UK; it requires embedding to benefit children and their families. VR implementation in rehabilitation practice requires development. The associated influencing factors require further exploration before routine use can be established. This project aimed to understand the factors influencing the use of VR in upper limb rehabilitation in children.VR implementation in rehabilitation practice requires development. The associated influencing factors require further exploration before routine use can be established. This project aims to understand the factors influencing the use of VR in upper limb rehabilitation in children.DesignAn interpretative qualitative study used focus groups and 1:1 semi-structured interviews conducted in person and online to explore participants' experiences. These were analysed for inductive overarching themes, particularly focusing on the views of professionals and young people regarding the use of VR in upper limb rehabilitation.SettingTwo neurorehabilitation services located in two children's hospitals in England, UK.ParticipantsThree physiotherapists, five occupational therapists, a play worker and four members from the Young Persons' Advisory Group took part. Four focus groups with 2-4 participants in each group and two 1:1 semi-structured interviews were conducted. Thematic analysis was used to create the model participants described as the factors that influenced the use of VR in neurorehabilitation.ResultsFive closely related major themes and thirty associated subthemes were developed: training, knowledge, promotion, consideration of barriers and family factors. There is a lack of knowledge and understanding about the use of VR, its limitations, and the clinicians' motivation to use it. Training packages with available VR equipment, clinical indicators and scientific evidence are required. Staff need frequent training, logistics (uninterrupted Wi-Fi, software, hardware) and simple instruction manuals.ConclusionTo introduce VR into the routine rehabilitation of children with ABI, investment in improving knowledge, frequent training and positive behaviour change among health professionals is needed.

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Dataset Information

Factors influencing perceived function in the upper limb prosthesis user population.

Background

Objective

Design

Setting

Participants

Interventions

Main outcome measures

Results

Conclusions

Publications

Factors influencing perceived function in the upper limb prosthesis user population.

Similar Datasets

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