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International Journal of Bioprinting                                    3D printing of custom mallet splints




            provision of hand therapy assessments and intervention   3. Results
            (M.S.). The lead researcher (U.C.) was also present.
                                                               3.1. Participation and study completion rate
            2.5. Patient interview                             Over a 6-month period, 16 patients were recruited, with
            Initially, the patient was interviewed regarding their   10 completing the study. There were eight males and two
            perception and acceptance of the 3D-printed splint   females, and their average age was 58. All patients sustained
            using a modified form of the Quebec User Evaluation of   their injury through trauma. Two patients withdrew from the
            Satisfaction with assistive Technology QUEST (Version   study due to an inability to attend all scheduled appointments
            2.0).  The questionnaires were validated by an external   as required. One patient failed to attend any follow-up
               27
            group of experts before commencing the study (a    appointments after the bespoke splint was fitted, despite
            consultant in emergency medicine, an advanced nurse   attempts to contact the patient and rearrange appointments.
            practitioner, a research nurse, and an OT).           The intention was that all patients would wear a generic
               The patient’s satisfaction with the Stack splint and the   Stack splint before being fitted with the 3D-printed splint.
            3D-printed splint was assessed using a Likert scale and   However, one patient could not tolerate the generic Stack
            free-text answers. It was explained to each patient that the   splint because a close fit could not be obtained. In that case,
            initial splint was applied when the finger was likely to be   a dorsal aluminum splint was applied. This patient’s data
            most swollen. Patients were encouraged to be cognizant   are not included in the results.
            of this when answering the questionnaire to avoid bias
            against their initial splint.                         On mid-trial review with the consultant in emergency
                                                               medicine, two patients were found to have osteoarthritic
               The second part of the interview was conducted by the   changes to their finger joints. After review by the OT and
            OT with a focus on clinical outcomes and acceptance.   consultant in emergency medicine, it was decided that
                                                               these were more complicated injuries. Consequently, these
            2.6. Measurements                                  patients were removed from the study and prescribed
            The OT removed the splint and assessed the range of   custom thermoplastic splinting and regular reviews by the
            movement of the DIPj using a Rolyon  finger goniometer   OT. The ten patients who completed the study wearing the
                                          ®
            (Smith and Nephew, London, UK). The patient’s      3D-printed splint attended the final interview with the lead
            measurement was compared to the Crawford classification   researcher and OT.
            scale.  This  is  the  most  commonly  used  outcome
            classification tool for mallet finger treatment.    3.2. Clinical outcome
                                                28
                 •  Excellent:  No pain with full range of motion    Out of the ten patients recruited, eight had successful
                   at the DIPj                                 outcomes based on the OT measurements while using the
                                                               Crawford classification scale. The results showed that 40% of
                 •  Good: Less than 10-degree extension deficit   the patients scored excellent, 30% good, 30% fair, and 0% poor.
                 •  Fair: 10–25 degrees of extension deficit with    Of the two patients with unsuccessful outcomes, one
                   no pain                                     abandoned the use of the splint within the first 6 weeks and
                 •  Poor: More than 25 degrees of extension deficit or   returned to participation in sporting activities; the other
                   persistent pain                             repeatedly  bent  the  injured  finger  during  hand  washing
                                                               due to a misunderstanding of discharge advice.
               If there was an extension deficit of more than 10 degrees
            or  poor  active  extension,  the  splint  was  continued  for  a   3.3. Clinician acceptance
            further 2 weeks, followed by night splinting for a further 2   The OT was asked the following question: “Based on
            weeks, as directed by the OT.                      your experience with this patient, would you consider a
                                                               3D-printed splint such as this to be potentially suitable for
            2.7. Acceptance                                    other patients with closed hand injuries?”
            Patient feedback was collected in the free-form section
            of each questionnaire to capture each patient’s detailed   In all ten cases, the OT indicated they would be happy
            experience of both splints. Both the patient and the OT   to use a 3D-printed splint in future in place of Stack splints.
            were asked if they would use the 3D-printed splint again.   However, they noted the need to improve aeration and
                                                               durability to ensure the effectiveness of the splint.
            2.8. Data analysis
            Data from the questionnaires were tabulated and analyzed   3.4. Patient acceptance
            using Microsoft Office Excel, and descriptive statistics were   Analysis  of  the  questionnaires  revealed  a  clear  patient
            used to describe the data.                         acceptance of the 3D-printed splint (Table 2). All but one


            Volume 10 Issue 2 (2024)                       522                                doi: 10.36922/ijb.1963
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