| Literature DB >> 35344529 |
Szu-Ping Lee1, Cailin Mitchell1, Kenneth Repayo1, Matthew Tillitt1, Collin Weber1, Lung-Chang Chien2, Chris Doerger3,4.
Abstract
BACKGROUND: Making a prosthesis for an individual with limb loss is a highly personalized process. A currently unexplored area is whether there are tangible benefits in greater patient engagement during the cosmetic designing of their prostheses. We examined the current clinical practice of engaging patients in prosthetic cosmetic designing and identified factors associated with patient outcomes.Entities:
Mesh:
Year: 2022 PMID: 35344529 PMCID: PMC9372180 DOI: 10.1097/PXR.0000000000000113
Source DB: PubMed Journal: Prosthet Orthot Int ISSN: 0309-3646 Impact factor: 1.672
Summary of the prosthetist survey results.
| Question | N | % |
| Do you typically offer cosmetically customized prostheses to a patient? | ||
| Yes | 86 | 82.7 |
| No | 18 | 17.3 |
| Why do you typically offer cosmetically customized prostheses to a patient? | ||
| Patient-driven reasons | 55 | 64.0 |
| Prosthetist-driven reasons | 35 | 40.7 |
| Cost-related reasons | 6 | 7.0 |
| Other | 10 | 11.6 |
| Who is the population that you are more likely to offer a cosmetically customized design or a higher level of design option to? | ||
| Age | 23 | 22.1 |
| Pediatric | 5 | 21.7 |
| Younger adult | 16 | 69.6 |
| Older adult (older than 50 years) | 7 | 30.4 |
| Sex | 15 | 14.4 |
| Female | 11 | 73.3 |
| Male | 4 | 26.7 |
| Other populations | 13 | 12.5 |
| Between patients who have and do not have custom-designed prosthesis, do you notice a difference? | ||
| Yes | 72 | 69.2 |
| No | 32 | 30.8 |
| What are the differences you notice between patients who have and do not have a prosthesis with cosmetic design? | ||
| Motivation | 22 | 21.4 |
| Attitude | 33 | 31.7 |
| Compliance | 18 | 17.3 |
| Function | 9 | 8.7 |
| Other | 13 | 12.5 |
Demographic characteristics of the prosthesis users (N = 28).
| Variable | N | % |
| Age distribution | ||
| 30–39 | 4 | 14.3 |
| 40–49 | 3 | 10.7 |
| 50–59 | 11 | 39.3 |
| 60–69 | 8 | 28.8 |
| 70+ | 2 | 7.1 |
| Sex | ||
| Male | 17 | 60.7 |
| Female | 11 | 39.3 |
| Ethnicity | ||
| White | 15 | 53.3 |
| African American | 6 | 21.4 |
| Asian American | 1 | 3.6 |
| Hispanic/Latino | 5 | 17.9 |
| Native American | 1 | 3.6 |
| Cause of amputation | ||
| Trauma | 6 | 21.4 |
| Cancer | 4 | 14.3 |
| Vascular/arterial disease (including diabetes) | 7 | 25.0 |
| Congenital reason | 2 | 7.1 |
| Other | 3 | 10.1 |
| Declined to answer | 5 | 18.5 |
| Level of amputation | ||
| Transfemoral | 5 | 17.9 |
| Transtibial | 6 | 21.4 |
| Bilateral lower limb | 2 | 7.1 |
| Upper limb | 2 | 7.1 |
| Other | 1 | 3.6 |
| Declined to answer | 12 | 42.9 |
Mixture effects of giving input to different cosmetic options on patient outcomes.
| Cosmetic options | |||
| Color | Graphics | Shell/cover | |
| Motivation to wear the prosthesis everyday | 0.24[ | <0.01 | 0.40[ |
| Empowerment by prosthesis | 0.27[ | 0.01 | 0.24[ |
| Satisfaction on how prosthesis works | 0.18[ | <0.01 | 0.37[ |
| Satisfaction on how prosthesis looks | 0.27[ | 0.01 | 0.24[ |
| Level of involvement during prosthesis-making process | 0.09 | 0.02 | 0.35[ |
Denotes statistically significant effects (relative weight > 0.17). A higher value indicates greater relative effect of the cosmetic option to the corresponding outcome.