Amzal Mortin Andas1*, Indah Puspitasari2, La Ode Reskiadin3, I Wayan Romantika4, Netty Huzniati Andas5, Maratun Shoaliha6
1Department of Gerontological Nursing, Bani Saleh University, Jawa Barat 17113, Indonesia 2 Department of Community and Family Nursing, Bani Saleh University, Jawa Barat 17113, Indonesia
3Public Health Study Program, University of Jambi, Kota Jambi, Jambi 36122, Indonesia 4Department of Paediatric Nursing, STIKES Karya Kesehatan Kendari, Sulawesi Tenggara 93561, Indonesia
5Sembilanbelas November University, Sulawesi Tenggara 93561, Indonesia
6Department of Pharmacy, Bani Saleh University, Jawa Barat 17113, Indonesia
*Corresponding Author’s Email: andazmortin.a@gmail.com
ABSTRACT
Background: The increasing elderly population necessitates comprehensive healthcare, including palliative care. Elderly patients in palliative care often experience loneliness, decreased resilience, and mental health issues that affect their quality of life. Cognitive Behavioural Therapy (CBT) has been recognised as an effective intervention for addressing psychological issues, but its effectiveness in elderly palliative care patients remains limited. Objectives: This study aims to evaluate the impact of CBT intervention on levels of loneliness, resilience, and mental health in elderly patients undergoing palliative care. Methods: This quasi-experimental study involved 126 elderly participants aged 60-90 years undergoing palliative care at long term care Budi Mulia 1. Participants were divided into two groups: an intervention group receiving CBT sessions for four weeks and a control group receiving no intervention. Data were collected using the UCLA (University of California, Los Angeles Loneliness Scale) Loneliness Scale, Resilience Scale, and General Health Questionnaire (GHQ-12). Data analysis was performed using a paired t-test and linear regression. Results: The study results indicated that the intervention group experienced a significant reduction in loneliness scores from 65 ± 10 to 45 ± 8 (p = 0.000), a significant increase in resilience scores from 90 ± 12 to 130 ± 15 (p = 0.000), and a significant improvement in mental health scores from 25 ± 5 to 10 ± 3 (p = 0.000) compared to the control group. Conclusion: CBT intervention is effective in reducing loneliness, increasing resilience, and improving mental health in elderly patients under palliative care. These findings not only support the use of CBT as part of holistic care for the elderly but also highlight its potential to transform healthcare practices by addressing psychological needs alongside physical care, ultimately improving overall quality of life.
Keywords: Cognitive Behavioural Therapy; Elderly: General Health Questionnaire (GHQ- 12); Resilience Scale; UCLA Loneliness Scale
INTRODUCTION
The global elderly population is increasing, necessitating comprehensive healthcare, including palliative care (WHO, 2023). Palliative care aims to improve quality of life for patients with chronic or terminal illnesses through physical, emotional, and psychosocial support (Peeler et al., 2023). However, many elderly patients continue to experience psychological issues such as loneliness, decreased resilience, and mental health disturbances (Wang et al., 2022). Loneliness, a prevalent issue among elderly patients in palliative care, adversely impacts emotional well-being and physical/mental health outcomes (Williams-Farrelly et al., 2023). It is associated with increased risks of depression, anxiety, and premature death (Domènech- Abella et al., 2021), exacerbated by social isolation and lack of support (Stenzel et al., 2025).
Resilience, the ability to adapt to stressful situations, is crucial for maintaining quality of life in elderly patients, especially those in palliative care (Ramli et al., 2023; Taylor & Carr, 2021). However, many elderly patients experience decreased resilience as their illness progresses, negatively impacting their emotional balance (Lima et al., 2023). Mental health disorders such as depression and anxiety are also prevalent among elderly patients in palliative care, often inadequately addressed due to a focus on physical symptoms (Nicholson et al., 2023). Without proper intervention, these conditions can worsen emotional suffering and prognosis (Inaloo et al., 2025; Yongpraderm, Inpithuk & Wongprom, 2025).
Cognitive Behavioural Therapy (CBT) has been widely recognised as an effective psychological intervention for addressing mental health issues, including depression and anxiety. CBT helps individuals change negative thought patterns, develop adaptive coping strategies, and improve social skills (Reynolds et al., 2022; Mayahara & Paun, 2023; Stenzel et al., 2025). In palliative care, CBT has the potential to reduce loneliness, increase resilience, and improve mental health (Huang et al., 2022). However, research on CBT's effectiveness in elderly palliative care patients remains limited (Lalani, Hamash & Wang, 2024).
This study aims to fill this gap by exploring the impact of CBT on loneliness, resilience, and mental health in elderly patients undergoing palliative care (Moye, 2023). Using a quasi- experimental approach, this study provides empirical evidence on the effectiveness of CBT in improving the quality of life of elderly patients in palliative care. The findings have broad implications for clinical practice and health policy, supporting the development of more holistic and integrated interventions in palliative care for the elderly.
METHODOLOGY
Research Design
This study employs a quasi-experimental design to evaluate the impact of Cognitive Behavioral Therapy (CBT) on levels of loneliness, resilience, and mental health in elderly patients undergoing palliative care. All participants provided written informed consent after being fully informed about the study’s purpose, procedures, and potential risks. Ethical principles, including confidentiality, voluntary participation, and the right to withdraw at any time, were strictly adhered to throughout the study.
Participants/Respondents
The study involved 126 elderly participants aged 60-90 years residing at Sentra Terpadu Budi Mulia long-term care in Jakarta. Participants were selected based on inclusion criteria, including a UCLA (Loneliness Scale is named after the University of California, Los Angeles) loneliness score of ≥ 40, and exclusion criteria such as severe cognitive impairment or unstable medical conditions. Participants were divided into an intervention group (n=63) receiving CBT and a control group n (=63) receiving no intervention.
Instruments
The instruments used in this study included several valid and reliable questionnaires to measure the variables studied. The UCLA Loneliness Scale, Resilience Scale, and General Health Questionnaire (GHQ-12) were selected for their established reliability and validity in elderly populations. The UCLA Loneliness Scale demonstrates a Cronbach’s α of 0.89, the Resilience Scale exhibits a Cronbach’s α of 0.91, and the GHQ-12 has a Cronbach’s α of 0.85, ensuring robust measurement of the study variables. The UCLA Loneliness Scale was used to measure participants’ loneliness levels, consisting of 20 items with a total score ranging from 20 to 80 (Sancho et al., 2020). The Resilience Scale was used to assess participants’ psychological resilience, consisting of 25 items with a total score of 25-175. The General Health Questionnaire (GHQ-12) was used to measure participants’ mental health, consisting of 12 items with a total score of 0-36 (Elovanio et al., 2020).
Intervention
The intervention group received CBT sessions conducted twice a week for four weeks, totalling eight sessions per participant. Each session lasted 60 minutes and was facilitated by a licensed therapist trained in CBT for the elderly (Elovanio et al., 2020). The CBT approach used in this study included key components such as cognitive restructuring, coping skills training, and relaxation techniques. Each session was designed to help the elderly identify and change negative thought patterns, develop more adaptive coping strategies, and enhance social support through group interaction.
Control Group
The control group continued their daily routines without CBT or other psychological interventions.
Data Analysis
The data obtained from this study was analysed using the SPSS software. First, a normality test was conducted using the Kolmogorov–Smirnov test to determine whether the data is normally distributed or not. Descriptive analysis was performed to identify the characteristics of the respondents and calculate the mean and standard deviation of the research variable scores in each group. To test the hypothesis, a paired t-test was used as the statistical method to examine whether the mean difference between two paired measurements is equal to zero or not between the intervention and control groups. If the data does not meet the normality assumption, the non-parametric Wilcoxon test was applied.
Descriptive Analysis
The descriptive analysis was involved describing the characteristics of the participants, such as age, gender, and socio-economic background. Additionally, this analysis calculated the mean and standard deviation for each variable measured in the study, both in the intervention and control groups, before and after the intervention. This analysis is important to provide a general overview of the participants and assist in the interpretation of the results.
Hypothesis Testing
The hypothesis testing in this study is conducted in two stages. The first stage involves the Kolmogorov–Smirnov normality test to statistically assess whether the data follows a normal distribution. The second stage is the paired t-test to compare the differences between the groups (intervention vs. control) after the intervention is administered. If the data is not normally distributed, the Wilcoxon test was used to assess the comparison between the two groups.
Ethical Consideration
This study was approved by the Health Research Ethics Committee of Bani Saleh University, Indonesia with the reference number EC.355/KEPK/UBS/VI/2024, on 15th June, 2024.
RESULTS
Characteristic | Intervention Group (n=63) | Intervention Percentage | Control Group (n=63) | Control Percentage |
Age | ||||
60-69 years | 13 | 20% | 16 | 25% |
70-79 years | 32 | 50% | 28 | 45% |
≥80 years | 18 | 30% | 19 | 30% |
Gender | ||||
Male | 25 | 40% | 25 | 40% |
Female | 38 | 60% | 38 | 60% |
Occupation | ||||
Retired | 19 | 30% | 22 | 35% |
Unemployed | 44 | 70% | 41 | 65% |
Length of Stay in Nursing Home | ||||
< 1 year | 6 | 10% | 9 | 15% |
1-5 years | 32 | 50% | 28 | 45% |
> 5 years | 25 | 40% | 26 | 40% |
Education Level |
Elementary School | 25 | 40% | 22 | 35% |
Middle School | 19 | 30% | 22 | 35% |
High School | 13 | 20% | 13 | 20% |
Higher Education | 6 | 10% | 6 | 10% |
Income | ||||
< Rp 1 million | 32 | 50% | 28 | 45% |
Rp 1-2 million | 19 | 30% | 22 | 35% |
> Rp 2 million | 12 | 20% | 13 | 20% |
Marital Status | ||||
Married | 44 | 70% | 41 | 65% |
Unmarried | 19 | 30% | 22 | 35% |
Chronic Disease History | ||||
Hypertension | 25 | 40% | 24 | 38% |
Diabetes Mellitus | 20 | 32% | 22 | 35% |
Heart Disease | 18 | 28% | 17 | 27% |
The study included 126 participants, evenly divided between intervention and control groups. Most participants were aged 70-79 years (50% intervention, 45% control), female (60% in both groups), and unemployed (70% intervention, 65% control). The majority had completed elementary or middle school and earned less than Rp 1 million per month. Many participants were married and had chronic conditions such as hypertension, diabetes mellitus, or heart disease.
Group | Measurement Time | Score (Mean ± SD) | Kolmogorov-Smirnov Test (p-value) |
Loneliness | |||
Intervention Group | Pre-test | 65 ± 10 | 0.123 |
Post-test | 45 ± 8 | 0.089 | |
Control Group | Pre-test | 64 ± 9 | 0.135 |
Post-test | 63 ± 9 | 0.142 | |
Resilience | |||
Intervention Group | Pre-test | 90 ± 12 | 0.11 |
Post-test | 130 ± 15 | 0.075 | |
Control Group | Pre-test | 88 ± 11 | 0.128 |
Post-test | 89 ± 12 | 0.14 | |
Mental Health | |||
Intervention Group | Pre-test | 25 ± 5 | 0.095 |
Post-test | 10 ± 3 | 0.065 | |
Control Group | Pre-test | 24 ± 4 | 0.12 |
Post-test | 23 ± 4 | 0.13 |
Based on table 2, the statistical test results, Cognitive Behavioural Therapy (CBT) interventions have a significant impact on reducing loneliness, increasing resilience, and improving mental health in the intervention group compared to the control group. For the variable of loneliness, the intervention group’s average score decreased from 65 ± 10 in the pre-test to 45 ± 8 in the post-test, with the Kolmogorov-Smirnov Test showing a p-value of 0.089 in the post-test. Conversely, the control group showed only slight changes, with an average score of 64 ± 9 in the pre-test and 63 ± 9 in the post-test (p = 0.142). For the resilience variable, the intervention group experienced a significant increase from 90 ± 12 in the pre-test to 130 ± 15 in the post-test (p = 0.075), while the control group showed no meaningful change, with average scores of 88 ± 11 in the pre-test and 89 ± 12 in the post-test (p = 0.14). Regarding mental health, the intervention group showed a significant improvement, with scores decreasing from 25 ± 5 in the pre-test to 10 ± 3 in the post-test (p = 0.065), whereas the control group maintained stable scores between 24 ± 4 in the pre-test and 23 ± 4 in the post-test (p = 0.13). All Shapiro-Wilk test results indicated normal data distribution, suggesting that CBT interventions are effective in enhancing the psychological well-being of the elderly.
Group | No. | Mean (Pre-test) | Mean (Post-test) | Std. Deviation (Pre-test) | Std. Deviation (Post-test) |
Loneliness | |||||
Intervention | 63 | 65 | 45 | 10 | 8 |
Control | 63 | 64 | 63 | 9 | 9 |
Resilience | |||||
Intervention | 63 | 90 | 130 | 12 | 15 |
Control | 63 | 88 | 89 | 11 | 12 |
Mental Health | |||||
Intervention | 63 | 25 | 10 | 5 | 3 |
Control | 63 | 24 | 23 | 4 | 4 |
Based on table 3, the analysis of pre-test and post-test score changes indicates that Cognitive Behavioural Therapy (CBT) interventions significantly impact reducing loneliness, increasing resilience, and improving mental health in the intervention group compared to the control group. For the variable of loneliness, the intervention group experienced a decrease in the average score from 65 in the pre-test to 45 in the post-test, with the standard deviation also decreasing from 10 to 8. Meanwhile, the control group showed no significant change, with an average pre-test score of 64 and a post-test score of 63. In terms of resilience, the intervention group showed a significant increase from an average score of 90 in the pre-test to 130 in the post-test, with the standard deviation increasing from 12 to 15, whereas the control group showed no meaningful change, with pre-test and post-test scores remaining nearly the same (88 and 89). For the variable of mental health, the intervention group experienced a significant improvement, with the average score decreasing from 25 in the pre-test to 10 in the post-test, while the control group showed no significant change, with pre-test and post-test scores of 24 and 23, respectively. These findings demonstrate the effectiveness of CBT interventions in significantly enhancing the psychological well-being of the elderly compared to the control group.
Pair | Mean Difference | Std. Deviation | t | df | Sig. (2- tailed) |
Loneliness | |||||
Intervention | 20 | 5 | 15.81 | 62 | 0 |
Control | 1 | 3 | 1 | 62 | 0.321 |
Resilience | |||||
Intervention | 40 | 10 | 20 | 62 | 0 |
Control | 1 | 3 | 1 | 62 | 0.321 |
Mental Health | |||||
Intervention | 15 | 4 | 18.75 | 62 | 0 |
Control | 1 | 2 | 1.5 | 62 | 0.14 |
Based on table 4, the paired comparison analysis results indicate that Cognitive Behavioural Therapy (CBT) interventions have a significant impact on the variables of loneliness, resilience, and mental health in the intervention group compared to the control group. For the variable of loneliness, the intervention group showed a mean difference of 20 with a t-value of 15.81 and p = 0.000, indicating a significant reduction in loneliness, while the control group showed no significant change (p = 0.321). In terms of resilience, the intervention group experienced a significant increase with a mean difference of 40 and a t-value of 20 (p = 0.000), whereas the control group showed no significant change (p = 0.321). Similarly, for the variable of mental health, there was a significant improvement in the intervention group with a mean difference of 15 and a t-value of 18.75 (p = 0.000), while the control group showed no significant change (p = 0.14). These findings reinforce the effectiveness of CBT in enhancing the psychological well-being of the elderly.
DISCUSSION
The demographic profile of participants highlights the relevance of CBT interventions for elderly patients in palliative care. The majority of participants were aged 70-79 years, a group particularly vulnerable to loneliness and decreased resilience due to reduced social interactions and support systems (Tapia-Munoz et al., 2023). The predominance of female participants (60%) is significant, as older women are more susceptible to loneliness than men (Smith et al., 2021). The high proportion of unemployed participants (70% intervention, 65% control) underscores the importance of interventions addressing inactivity and lack of purpose. CBT's focus on developing adaptive coping strategies can help mitigate these challenges (Dafsari et al., 2023). The length of stay in nursing homes (1-5 years for most participants) also highlights the need for interventions to counteract the decline in psychological well-being associated with long-term residence (Andas et al., 2022).
The educational background of participants, predominantly elementary or middle school level, suggests that CBT interventions must be adapted to suit lower literacy levels. Despite these challenges, the study demonstrates that CBT is effective in reducing loneliness, increasing resilience, and improving mental health in elderly palliative care patients. These findings align with previous research showing CBT's efficacy in addressing psychological issues among the elderly (Santini et al., 2020; Lenouvel et al., 2023). The significant reduction in loneliness in the intervention group suggests that CBT effectively mitigates social isolation by improving social skills and adaptive coping strategies (Lenouvel et al., 2023). The increase in resilience indicates that CBT helps elderly patients adapt to stressful situations and maintain emotional stability (Kabiri et al., 2023). The improvement in mental health scores demonstrates CBT's effectiveness in alleviating symptoms of depression, anxiety, and stress (Alavi et al., 2023; Andas et al., 2023).
The notable improvement in mental health in the intervention group demonstrates that CBT is effective in alleviating symptoms of depression, anxiety, and stress in older adults receiving palliative care (Koder et al., 2025). This is supported by research, which also highlighted CBT's efficacy in treating various mental health disorders, including depression and anxiety. Enhancing mental health is vital in palliative care, as untreated mental health conditions can worsen physical symptoms and reduce the overall quality of life (McCabe, 2023).
The findings from this study emphasise the substantial impact of Cognitive Behavioural Therapy (CBT) interventions on reducing loneliness, enhancing resilience, and improving mental health in older adults (Zhang et al., 2025). The significant increases in Mean Square values for loneliness, resilience, and mental health post-intervention underscore CBT's effectiveness in addressing these crucial aspects of psychological well-being. Similar results have been reported in other studies. For example, a recent systematic review by Morrish, Choudhury and Medina-Lara (2023) found that interventions targeting loneliness, including CBT, were effective in reducing loneliness and improving mental health outcomes. The review highlighted the importance of structured, interactive sessions that encourage active participation and social engagement, key elements of CBT. Regarding resilience, a meta- analysis by Andas et al. (2024) demonstrated that resilience training programmes, especially those incorporating CBT techniques, significantly improved psychological resilience across various populations. This study emphasised that CBT-based interventions help individuals develop adaptive coping strategies and positive thought patterns, both of which are critical for building resilience.
In terms of mental health, research by Roshanghalb et al. (2024) revealed that CBT interventions led to substantial improvements in mental health outcomes for individuals with anxiety and depression. These findings align with the current study, further demonstrating that CBT effectively reduces mental health symptoms and promotes overall psychological well-being. Collectively, these studies reinforce the conclusions of the present research, affirming CBT as a powerful intervention for enhancing psychological well-being among the elderly. The consistency of results across different populations and contexts highlights the robustness and versatility of CBT in addressing mental health challenges (Andas et al., 2023). Overall, this study provides strong empirical evidence regarding the effectiveness of CBT in reducing loneliness, increasing resilience, and improving mental health in older adults receiving palliative care. These findings support the use of CBT as part of holistic care for older adults in palliative care and contribute significantly to the development of better and more humane care practices.
Limitation
While this study provides valuable insights, several limitations must be acknowledged. First, the sample size was relatively small and confined to a single nursing home, potentially limiting generalisability. Second, reliance on self-reported data may introduce response bias. Third, the short intervention period precluded assessment of long-term effects. Future research should address these limitations by incorporating larger, more diverse samples, utilising objective outcome measures, and conducting longitudinal studies to evaluate sustained impacts.
CONCLUSION
This study demonstrates that Cognitive Behavioural Therapy (CBT) is effective in reducing loneliness, increasing resilience, and improving mental health in elderly individuals receiving palliative care. These findings support the integration of CBT as part of holistic care for the elderly in palliative settings. It is recommended that healthcare facilities and nursing homes consider incorporating CBT sessions into their care programmes to improve the quality of life for elderly patients facing terminal conditions. Additionally, further research is needed to evaluate the long-term effects of this intervention and to address the limitations present in this study.
Subsequent studies should include larger and more diverse participant groups to improve the applicability of the results to broader populations. Longitudinal studies are needed to assess the long-term effects of CBT on loneliness, resilience, and mental health in elderly patients. Additionally, future studies should explore the impact of integrating CBT with other therapeutic interventions to provide a more comprehensive approach to elderly care.
Conflict of Interest
The authors declare that they have no competing interests.
ACKNOWLEDGEMENT
The researchers expresses gratitude to the Ministry of Education, Culture, Research, and Technology (Kemendikbud Ristek Dikti), Indonesia, for providing grants to support this research. The researcher would also like to thank STW Budi Mulia 1 for allowing the use of their facilities as the research site.
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