4.1. Quantitative Data
Table 1 provides an overview of the raw data collected from the participants. It includes demographic information such as sex, age, and working status, along with details regarding their amputation, including the cause and type. Additionally, the table presents participants' scores on several psychological scales, including the Rosenberg Self-esteem Scale, the CD-RISC-10, and the PFRS.
| Participants | Sex, Age | Working Status | Amputation Cause | Amputation Type a, b | Post amputation Psychological Support | Rosenberg Self-esteem Scale | CD-RISC-10 | PFRS | PFRS Subscales |
|---|
| Personal Resources | Family Resources | Peer Resources |
|---|
| 1 | M, 37 | Works | Car accident | Lower | 0 | 24 | 21 | 20 | 10 | 5 | 5 |
| 2 | M, 34 | Works | Car accident | Lower | 1 | 37 | 40 | 80 | 40 | 20 | 20 |
| 3 | M, 56 | Unemployed | Work accident | Lower | 1 | 35 | 32 | 125 | 61 | 32 | 29 |
| 4 | M, 46 | Unemployed | Work accident | Lower | 0 | 29 | 28 | 118 | 53 | 35 | 30 |
| 5 | M, 33 | Unemployed | Car accident | Lower | 0 | 16 | 27 | 75 | 39 | 20 | 16 |
| 6 | F, 18 | Study | Car accident | Lower | 1 | 36 | 39 | 140 | 70 | 35 | 35 |
| 7 | M, 52 | Unemployed | Work accident | Lower | 0 | 29 | 27 | 60 | 40 | 10 | 10 |
| 8 | M, 37 | Works | Car accident | Upper | 0 | 31 | 37 | 95 | 51 | 30 | 14 |
| 9 | M, 32 | Unemployed | Car accident | Lower | 0 | 24 | 25 | 99 | 64 | 30 | 5 |
Abbreviations: M, male; F, female; CD-RISC-10, Connor-Davidson Resilience Scale-10; PFRS, Protective Factors of Resilience Scale.
a Lower: Lower extremity amputation: Removal of part or all of the lower limb (e.g., toe, foot, below-knee, above-knee) due to trauma, disease, or infection.
b Upper: Upper extremity amputation: Loss of part or all of the upper limb (e.g., hand, forearm, arm) due to trauma, malignancy, or congenital causes.
Table 2 provides the descriptive statistics for the three psychological scales. The Rosenberg Self-esteem Scale had a mean score of 29.0 (SD = 6.82), with scores ranging from 16 to 37. The CD-RISC-10 showed a mean score of 30.67 (SD = 6.69), with scores ranging from 21 to 40. The PFRS exhibited the greatest variability, with a mean score of 90.22 (SD = 36.64) and scores ranging from 20 to 125.
| Scales | Count | Mean ± SD | Min - Max |
|---|
| Rosenberg Self-esteem Scale | 9 | 29.00 ± 6.82 | 16.0 - 37.0 |
| CD-RISC-10 | 9 | 30.67 ± 6.69 | 21.0 - 40.0 |
| PFRS | 9 | 90.22 ± 36.64 | 20.0 - 125.0 |
Abbreviations: CD-RISC-10, Connor-Davidson Resilience Scale-10; PFRS, Protective Factors of Resilience Scale.
Spearman’s correlation analysis was used to explore the relationships across the three psychological scales, as it is well-suited for small sample sizes and non-normally distributed data.
Table 3 displays the correlation coefficients between the Rosenberg Self-esteem Scale, CD-RISC-10, and the PFRS. The analysis revealed a strong positive correlation between self-esteem and resilience (r = 0.76). Additionally, there was a moderate positive correlation between self-esteem and protective factors (r = 0.49). Resilience and protective factors also demonstrated a moderate positive correlation (r = 0.57).
| Scales | Rosenberg Self-esteem | CD-RISC-10 | PFRS |
|---|
| Rosenberg Self-esteem Scale | 1.00 | 0.76 a | 0.49 |
| CD-RISC-10 | 0.76 a | 1.00 | 0.57 a |
| PFRS | 0.49 | 0.57 a | 1.00 |
Abbreviations: CD-RISC-10, Connor-Davidson Resilience Scale-10; PFRS, Protective Factors of Resilience Scale.
a Correlation is significant at the level (P ≤ 0.05).
Comparisons across the three psychological scales were conducted based on participants' employment status. Mean scores were analyzed between employed and unemployed participants to identify any significant differences. This analysis aimed to account for potential confounding effects of employment status on self-esteem, resilience, and protective factors, ensuring a more accurate interpretation of the results.
Study participants reported the highest mean scores across all three psychological scales, with a self-esteem score of 36.0, a resilience score of 39.0, and a protective factors score of 140, as shown in
Table 4. Employed participants exhibited intermediate scores, while unemployed participants reported lower scores across all scales, indicating potential differences linked to employment status.
| Working Status | Rosenberg Self-esteem | CD-RISC-10 | PFRS |
|---|
| Works | 30.67 | 32.67 | 65.0 |
| Unemployed | 26.60 | 27.80 | 95.4 |
| Study | 36.00 | 39.00 | 140.0 |
Abbreviations: CD-RISC-10, Connor-Davidson Resilience Scale-10; PFRS, Protective Factors of Resilience Scale.
In
Table 5, participants were grouped based on whether they had received psychological support, and comparisons were made across the three scales. This analysis highlighted notable differences in mean scores between the two groups, providing insights into the potential influence of psychological support on self-esteem, resilience, and protective factors.
| Psychological Support (Post-amputation) | Rosenberg Self-esteem | CD-RISC-10 | PFRS |
|---|
| 0 (no support) | 25.5 | 27.5 | 77.83 |
| 1 (received support) | 36.0 | 37.0 | 115.0 |
Abbreviations: CD-RISC-10, Connor-Davidson Resilience Scale-10; PFRS, Protective Factors of Resilience Scale.
As shown in
Table 5, participants who received psychological support exhibited significantly higher scores on the Rosenberg Self-esteem Scale (36.0 versus 25.5), the CD-RISC-10 (37.0 versus 27.5), and the PFRS (115.0 versus 77.83) compared to those who did not receive such support.
Due to the small sample size, advanced statistical analyses were not feasible. However, the results were interpreted with careful consideration of the effects of psychological support and employment status to maintain transparency and reduce potential bias.
4.2. Qualitative Data
The participants come from different age groups, sexes, and employment statuses, reflecting a diverse range of backgrounds. Each participant’s unique characteristics contribute to their individual psychological journey. The responses to the open-ended questions, presented in
Box 1, provide an in-depth perspective on their experiences and adaptation processes following amputation.
| Questions |
|---|
| What difficulties did you encounter when adapting to life after the amputation? |
| How have your feelings about yourself changed since the amputation? |
| Did you receive professional psychological support? If so, how did it affect your adaptation process? |
| What helped you adapt well after the amputation? |
| Can you share how your family and friends have supported you during your journey of adaptation after amputation? |
The written responses provided by the study participants were carefully analyzed line by line. The data were analyzed using a six-step thematic analysis based on Braun and Clarke’s framework (2006), with the support of ATLAS.ti software (version 24.1.0) for coding and organizing themes, as shown in
Table 6, within a structured framework and maintaining a strict systematic data classification and interpretation method.
| Themes | Sub-themes | Codes | Frequency of Mention (No. of Patients) |
|---|
| Self-perception as a determinant of resilience | Positive self-perception | Self-confidence boost | 12 (7) |
| Self-acceptance | 13 (5) |
| Challenges in self-perception | Doubts about self-worth | 3 (1) |
| Social support theme | Family support | Emotional support from family | 6 (4) |
| Practical assistance from family | 8 (6) |
| Friendship and social connections | Contact with friends | 5 (3) |
| Social isolation | Social withdrawal | 0 |
| Impact of professional psychological support on resilience | Improved coping skills | Improved coping strategies | 0 |
| Growth in emotional strength | Growth in emotional resilience | 10 (8) |
| Key contributors to resilience | Prosthetic adaptation and independence | Prosthesis acceptance | 6 (6) |
| independence | 7 (6) |
Thematic analysis was conducted using the six-step approach (
22). This process consisted of familiarization with the data, generating initial codes, searching for themes (descriptive), reviewing themes (concepts and reflections), further defining and naming themes, and writing up the results. A deductive coding process was employed, using pre-existing concepts and theories as a guide. The thematic analysis of the narratives of the nine patients resulted in four main themes: Self-perception as a determinant of resilience, perceived social support, influence of psychological support on resilience, and key contributors to resilience. These themes broadly capture the significant patterns found in the data and correspond to our research aims.
4.2.1. Theme 1: Self-perception as a Determinant of Resilience
Seven patients cited a gain in self-confidence, emphasizing the empowering effect of self-perception on their ability to cope with adversity. This highlighted that patients with a more favorable perception of themselves felt better adjusted after amputation.
- “I could do everything for myself.” – Patient 2
- “I didn’t change after the accident, and I feel good about myself. This is predestination.” – Patient 6
- “I have overcome challenges that I never thought I could. I became strong... and I got married and I have children after the accident.” – Patient 3
- “I am independent of everything in my daily activities.” – Patient 4
- “I am well and able to do most of my daily activities independently.” – Patient 5
- “I feel okay, and I am still strong.” – Patient 8
- “I’ve become more capable of doing most things on my own, but I still need help sometimes.” Patient 9
Conversely, only one patient expressed self-doubt and a negative self-image, which may have negatively impacted their recovery:
- “Going for a prosthetic was not easy, and I was unsure if this would help me to mobilize. Being alone was difficult during that time.” – Patient 1
4.2.2. Theme 2: Social Support
Social support emerged as another significant factor in the participants' responses. Six participants cited receiving practical family assistance, while four participants highlighted both emotional and practical support from their families. This underscores the crucial role of family commitment in the recovery process. Interestingly, none of the patients reported experiencing social withdrawal; instead, they maintained strong connections with others rather than isolating themselves.
Additionally, three participants stated that interactions with friends played a supportive role during their recovery, suggesting that both family and social networks contribute to better adjustment following amputation.
- “They told me I need to be strong and face my reality.” – Patient 2
- “My family always said to me that I am capable of doing anything I want.” – Patient 3
- “Everyone in my family encouraged me to be strong. My family helped me every day until I recovered fully.” – Patient 4
- “The support from my family and my closest friends was great.” – Patient 5
- “My family has been helpful, and it’s made things a bit easier.” – Patient 8
- “I’ve received some support from my family, which has been nice.” – Patient 9
- “It’s been good to have friends check in on me from time to time.” – Patient 9
However, two participants expressed dissatisfaction with the level of family support they received, indicating that gaps in support can affect the recovery experience:
- “I was alone through this… my family is not here, but my friends did support me.” – Patient 1
- “My family tried to help me, but they didn’t really understand how I felt.” – Patient 6
4.2.3. Theme 3: Impact of Professional Psychological Support on Resilience
Three participants reported experiencing a positive impact from professional psychological support, which played a significant role in helping them adapt to life after amputation. Their responses highlighted how psychological interventions, such as counseling or support from healthcare professionals, contributed to improved coping mechanisms and emotional well-being during the recovery process.
- “The doctor taught me valuable ways to be positive… it was useful.” – Patient 2
- “I received help… I felt better after talking about my situation with a specialist.” – Patient 3
- “The social worker kept in touch often, which helped me through my recovery.” – Patient 6
4.2.4. Theme 4: Key Contributors to Resilience
Most of the responses highlighted the acceptance of prostheses and the ability to regain independence as key factors in the adaptation process. Six patients discussed how prostheses had helped them return to an independent lifestyle, considering them essential for resuming daily activities and restoring a sense of normalcy.
- “My prosthesis gave me the freedom to move again.” – Patient 3
- “The prosthesis gave me the freedom to move again. I received training to take care of it and use it.” – Patient 4
- “The artificial leg is very useful, and now I can do many things by myself.” – Patient 5
- “With the prosthesis, I can take care of myself.” – Patient 6
- “Using the artificial part made it easier to adjust and get through the tough times.” – Patient 9
Employment also emerged as an influential factor, serving as an incentive for recovery among employed participants. This finding aligns with the overall results, which showed that employment played a motivating role in the adjustment process.
- “Work… returning to work makes me feel better after the incident.” – Patient 1
- “My family and work helped me to be strong during the difficult time… I work and can do my job.” – Patient 2
- “Going to work helped me a lot.” – Patient 8