Comparing the Perspectives of Generative AI, Mental Health Experts, and the General Public on Schizophrenia Recovery: Case Vignette Study.

Background: The current paradigm in mental health care focuses on clinical recovery and symptom remission. This model's efficacy is influenced by therapist trust in patient recovery potential and the depth of the therapeutic relationship. Schizophrenia is a chronic illness with severe symptoms where the possibility of recovery is a matter of debate. As artificial intelligence (AI) becomes integrated into the health care field, it is important to examine its ability to assess recovery potential in major psychiatric disorders such as schizophrenia. Objective: This study aimed to evaluate the ability of large language models (LLMs) in comparison to mental health professionals to assess the prognosis of schizophrenia with and without professional treatment and the long-term positive and negative outcomes. Methods: Vignettes were inputted into LLMs interfaces and assessed 10 times by 4 AI platforms: ChatGPT-3.5, ChatGPT-4, Google Bard, and Claude. A total of 80 evaluations were collected and benchmarked against existing norms to analyze what mental health professionals (general practitioners, psychiatrists, clinical psychologists, and mental health nurses) and the general public think about schizophrenia prognosis with and without professional treatment and the positive and negative long-term outcomes of schizophrenia interventions. Results: For the prognosis of schizophrenia with professional treatment, ChatGPT-3.5 was notably pessimistic, whereas ChatGPT-4, Claude, and Bard aligned with professional views but differed from the general public. All LLMs believed untreated schizophrenia would remain static or worsen without professional treatment. For long-term outcomes, ChatGPT-4 and Claude predicted more negative outcomes than Bard and ChatGPT-3.5. For positive outcomes, ChatGPT-3.5 and Claude were more pessimistic than Bard and ChatGPT-4. Conclusions: The finding that 3 out of the 4 LLMs aligned closely with the predictions of mental health professionals when considering the "with treatment" condition is a demonstration of the potential of this technology in providing professional clinical prognosis. The pessimistic assessment of ChatGPT-3.5 is a disturbing finding since it may reduce the motivation of patients to start or persist with treatment for schizophrenia. Overall, although LLMs hold promise in augmenting health care, their application necessitates rigorous validation and a harmonious blend with human expertise.

Beyond the Surface: Teachers' Perceptions and Experiences in Cases of Non-Suicidal Self-Injury Among High School Students.

Non-suicidal self-injury (NNSI) among adolescents is a significant concern. This study aimed to explore teachers' perceptions and experiences in cases of NSSI among their students. This qualitative-phenomenological study used in-depth, semi-structured interviews conducted with 27 teachers from high-schools in Israel. Thematic analysis was used to identify patterns and themes. Theme 1 highlighted the emotional impact of discovering self-injury incidents, including panic, confusion, and helplessness. Theme 2 focused on teachers' limited professional support and their need for training and guidance. Theme 3 explored teachers' desire to help students and their strategies for building connections and providing empathy, sometimes despite emotional detachment. Theme 4 emphasized the importance of involving parents and the need for effective communication. This study emphasizes the importance of providing teachers comprehensive training to address NSSI effectively. These findings provide a better understanding of teachers' experiences and underscore the need for enhanced support systems.

Assessing prognosis in depression: comparing perspectives of AI models, mental health professionals and the general public.

BACKGROUND: Artificial intelligence (AI) has rapidly permeated various sectors, including healthcare, highlighting its potential to facilitate mental health assessments. This study explores the underexplored domain of AI's role in evaluating prognosis and long-term outcomes in depressive disorders, offering insights into how AI large language models (LLMs) compare with human perspectives. METHODS: Using case vignettes, we conducted a comparative analysis involving different LLMs (ChatGPT-3.5, ChatGPT-4, Claude and Bard), mental health professionals (general practitioners, psychiatrists, clinical psychologists and mental health nurses), and the general public that reported previously. We evaluate the LLMs ability to generate prognosis, anticipated outcomes with and without professional intervention, and envisioned long-term positive and negative consequences for individuals with depression. RESULTS: In most of the examined cases, the four LLMs consistently identified depression as the primary diagnosis and recommended a combined treatment of psychotherapy and antidepressant medication. ChatGPT-3.5 exhibited a significantly pessimistic prognosis distinct from other LLMs, professionals and the public. ChatGPT-4, Claude and Bard aligned closely with mental health professionals and the general public perspectives, all of whom anticipated no improvement or worsening without professional help. Regarding long-term outcomes, ChatGPT 3.5, Claude and Bard consistently projected significantly fewer negative long-term consequences of treatment than ChatGPT-4. CONCLUSIONS: This study underscores the potential of AI to complement the expertise of mental health professionals and promote a collaborative paradigm in mental healthcare. The observation that three of the four LLMs closely mirrored the anticipations of mental health experts in scenarios involving treatment underscores the technology's prospective value in offering professional clinical forecasts. The pessimistic outlook presented by ChatGPT 3.5 is concerning, as it could potentially diminish patients' drive to initiate or continue depression therapy. In summary, although LLMs show potential in enhancing healthcare services, their utilisation requires thorough verification and a seamless integration with human judgement and skills.

The influence of emotional reactions and compliance with Ministry of Health guidelines during the COVID-19 pandemic in Israel: a longitudinal study of gender differences.

This study sought to examine gender differences in emotional reactions and compliance with Ministry of Health (MOH) guidelines during the COVID-19 pandemic in Israel, with the goal of gaining a deeper understanding of these gender-related variations throughout the lockdown periods. A longitudinal study comprising 2509 participants was conducted during two of Israel's lockdowns: 1424 participants completed a questionnaire during the first lockdown (23 April-5 May 2020); of these, 1085 completed a follow-up questionnaire during the second lockdown (September 30-October 10, 2020). Participants exhibited higher levels of compliance with MOH guidelines (e.g., wearing face masks, maintaining social distancing) and knowledge about COVID-19 during the second lockdown, whereas they exhibited more negative emotional reactions during the first lockdown. Female participants scored higher than male participants on all measures. Multiple regression results showed that about 21% of the variance in compliance with MOH guidelines was explained by lockdown type (i.e., first or second), gender, and age, while knowledge and negative emotional reactions added another 19% to the explained variance. The results suggest that the impact of the pandemic on emotional reactions decreased over time, with people exhibiting greater compliance with MOH guidelines and more knowledge about COVID-19. Moreover, the behavioral and psychological impact of the pandemic was greater on women than on men. The results suggest that healthcare professionals should pay more attention to mental health issues during a pandemic. Moreover, policymakers should focus on women as a vulnerable group and suggest appropriate solutions to reduce their emotional distress. Furthermore, governments and employers should provide greater flexibility and support for single mothers during the pandemic. In addition, gender inequality during lockdowns may place women at greater risk of psychological distress.

Identifying depression and its determinants upon initiating treatment: ChatGPT versus primary care physicians.

OBJECTIVE: To compare evaluations of depressive episodes and suggested treatment protocols generated by Chat Generative Pretrained Transformer (ChatGPT)-3 and ChatGPT-4 with the recommendations of primary care physicians. METHODS: Vignettes were input to the ChatGPT interface. These vignettes focused primarily on hypothetical patients with symptoms of depression during initial consultations. The creators of these vignettes meticulously designed eight distinct versions in which they systematically varied patient attributes (sex, socioeconomic status (blue collar worker or white collar worker) and depression severity (mild or severe)). Each variant was subsequently introduced into ChatGPT-3.5 and ChatGPT-4. Each vignette was repeated 10 times to ensure consistency and reliability of the ChatGPT responses. RESULTS: For mild depression, ChatGPT-3.5 and ChatGPT-4 recommended psychotherapy in 95.0% and 97.5% of cases, respectively. Primary care physicians, however, recommended psychotherapy in only 4.3% of cases. For severe cases, ChatGPT favoured an approach that combined psychotherapy, while primary care physicians recommended a combined approach. The pharmacological recommendations of ChatGPT-3.5 and ChatGPT-4 showed a preference for exclusive use of antidepressants (74% and 68%, respectively), in contrast with primary care physicians, who typically recommended a mix of antidepressants and anxiolytics/hypnotics (67.4%). Unlike primary care physicians, ChatGPT showed no gender or socioeconomic biases in its recommendations. CONCLUSION: ChatGPT-3.5 and ChatGPT-4 aligned well with accepted guidelines for managing mild and severe depression, without showing the gender or socioeconomic biases observed among primary care physicians. Despite the suggested potential benefit of using atificial intelligence (AI) chatbots like ChatGPT to enhance clinical decision making, further research is needed to refine AI recommendations for severe cases and to consider potential risks and ethical issues.

Suicide Risk Assessments Through the Eyes of ChatGPT-3.5 Versus ChatGPT-4: Vignette Study.

BACKGROUND: ChatGPT, a linguistic artificial intelligence (AI) model engineered by OpenAI, offers prospective contributions to mental health professionals. Although having significant theoretical implications, ChatGPT's practical capabilities, particularly regarding suicide prevention, have not yet been substantiated. OBJECTIVE: The study's aim was to evaluate ChatGPT's ability to assess suicide risk, taking into consideration 2 discernable factors-perceived burdensomeness and thwarted belongingness-over a 2-month period. In addition, we evaluated whether ChatGPT-4 more accurately evaluated suicide risk than did ChatGPT-3.5. METHODS: ChatGPT was tasked with assessing a vignette that depicted a hypothetical patient exhibiting differing degrees of perceived burdensomeness and thwarted belongingness. The assessments generated by ChatGPT were subsequently contrasted with standard evaluations rendered by mental health professionals. Using both ChatGPT-3.5 and ChatGPT-4 (May 24, 2023), we executed 3 evaluative procedures in June and July 2023. Our intent was to scrutinize ChatGPT-4's proficiency in assessing various facets of suicide risk in relation to the evaluative abilities of both mental health professionals and an earlier version of ChatGPT-3.5 (March 14 version). RESULTS: During the period of June and July 2023, we found that the likelihood of suicide attempts as evaluated by ChatGPT-4 was similar to the norms of mental health professionals (n=379) under all conditions (average Z score of 0.01). Nonetheless, a pronounced discrepancy was observed regarding the assessments performed by ChatGPT-3.5 (May version), which markedly underestimated the potential for suicide attempts, in comparison to the assessments carried out by the mental health professionals (average Z score of -0.83). The empirical evidence suggests that ChatGPT-4's evaluation of the incidence of suicidal ideation and psychache was higher than that of the mental health professionals (average Z score of 0.47 and 1.00, respectively). Conversely, the level of resilience as assessed by both ChatGPT-4 and ChatGPT-3.5 (both versions) was observed to be lower in comparison to the assessments offered by mental health professionals (average Z score of -0.89 and -0.90, respectively). CONCLUSIONS: The findings suggest that ChatGPT-4 estimates the likelihood of suicide attempts in a manner akin to evaluations provided by professionals. In terms of recognizing suicidal ideation, ChatGPT-4 appears to be more precise. However, regarding psychache, there was an observed overestimation by ChatGPT-4, indicating a need for further research. These results have implications regarding ChatGPT-4's potential to support gatekeepers, patients, and even mental health professionals' decision-making. Despite the clinical potential, intensive follow-up studies are necessary to establish the use of ChatGPT-4's capabilities in clinical practice. The finding that ChatGPT-3.5 frequently underestimates suicide risk, especially in severe cases, is particularly troubling. It indicates that ChatGPT may downplay one's actual suicide risk level.

Growing up with a sibling with depression: A qualitative study in Israel.

Depression has major consequences for the entire family, among them emotional distress, disrupted daily routine and social damage caused by negative stigmas. The aim of this study was to explore the retrospective experiences of young adults who lived with a sibling with depression while they were adolescents. The present study adopted a qualitative-phenomenological approach. The research participants were recruited via purposive sampling on social networks across Israel from May to September 2022. Semi-structured interviews were conducted with 21 participants aged 18-29 who lived with a sibling with depression during their adolescence. Data collection continued until saturation of concepts was reached. The results underwent thematic analysis. Three themes emerged from the qualitative analyses: 1) "I felt like I was living in a minefield": Adolescence while living with a sibling with depression; 2) "One step forward and two steps back": Siblings' coping strategies; 3) "My parents were not there for me when I needed them": Participants' experiences with their parents during their adolescence. The research findings indicate that adolescents who grew up with a sibling affected by depression had to cope with an acute family crisis, whose serious ramifications required emotional and social support. Mental health professionals and counselors working within educational institutions and the broader community should provide support and intervention for adolescents who have siblings struggling with depression. This intervention may take the form of individual or group therapy that aims to foster a sense of belonging and help affected individuals. Creating a supportive environment that meets the needs of the affected siblings is also crucial in addressing this issue effectively.

Beyond human expertise: the promise and limitations of ChatGPT in suicide risk assessment.

ChatGPT, an artificial intelligence language model developed by OpenAI, holds the potential for contributing to the field of mental health. Nevertheless, although ChatGPT theoretically shows promise, its clinical abilities in suicide prevention, a significant mental health concern, have yet to be demonstrated. To address this knowledge gap, this study aims to compare ChatGPT's assessments of mental health indicators to those of mental health professionals in a hypothetical case study that focuses on suicide risk assessment. Specifically, ChatGPT was asked to evaluate a text vignette describing a hypothetical patient with varying levels of perceived burdensomeness and thwarted belongingness. The ChatGPT assessments were compared to the norms of mental health professionals. The results indicated that ChatGPT rated the risk of suicide attempts lower than did the mental health professionals in all conditions. Furthermore, ChatGPT rated mental resilience lower than the norms in most conditions. These results imply that gatekeepers, patients or even mental health professionals who rely on ChatGPT for evaluating suicidal risk or as a complementary tool to improve decision-making may receive an inaccurate assessment that underestimates the actual suicide risk.

"I wanted to hide but also to be found": the high school experiences of young adults who grew up in the same home as a sibling with depression.

BACKGROUND: Depression is a mental health condition that can have far-reaching consequences for the entire family, not just for the affected individual. Siblings are particularly vulnerable in that the unremitting stress and guilt at home can affect multiple aspects of their lives, including relationships, added responsibilities, and health. This pressure may affect siblings' own emotional well-being and academic success. Most studies in this field have examined the impact of depression on the affected adolescents or their parents, whereas few have examined the impact on siblings. Sibling studies have been limited by lack of sample homogeneity, especially in the context of coping in high school. This study sought to examine the retrospective experiences of young adults who lived in the same house as a sibling with depression while they were in high school. METHODS: This qualitative study examined 21 young adults (aged 18-29) who grew up with a sibling with depression. In-depth, semi-structured interviews were conducted from May to September 2022. The interviews were recorded and transcribed and underwent thematic analysis. RESULTS: Three main themes emerged from the interviews: (1) "School as a place of refuge": The perspective of participants who grew up with a sibling with depression regarding their high school experience. (2) "I wanted the adults at school to see me": Relations between research participants and the school educational staff. (3) "I was afraid people would relate to me as the sibling of a crazy person": Participants' relationships with their peers. CONCLUSIONS: This study sheds light on the experiences of adolescents who grew up with a sibling with depression. The findings point to feelings of being invisible, self-nullification, avoiding sharing with others, and transparency. The participants were afraid that if their peers found out about their sibling they would also be stigmatized and alienated. The study shows that adolescents living with a sibling with depression need support at school.

Depression and Medicine Use among Older Adults during the COVID-19 Pandemic: The Role of Psychosocial Resources and COVID-19 Perceived Susceptibility.

A relationship was found between the COVID-19 pandemic and depression among older adults and between depressed mood and increased use of antidepressant medication among older adults during the pandemic. With the aim of broadening the understanding of these relationships, the study examined whether COVID-19 perceived susceptibility mediates the relationship between psychosocial resources (optimism and perceived social support) and depressive symptoms and medication use. Participants included 383 older adults (M = 71.75, SD = 6.77) reporting on socio-demographics, health characteristics, depression, optimism, social support, and COVID-19 perceived susceptibility. Medication use was retrieved from participants medical files. Lower optimism, lower social support, and higher COVID-19 perceived susceptibility were associated with greater depression, related with higher medication use. The findings emphasize the buffering effect of psychosocial resources on the adverse effects of depression affecting older adults during the COVID-19 pandemic, and consequently, the increased use of medication in this population. Practitioners should focus interventions on enhancing optimism and expanding social support among older adults. Moreover, interventions focused on alleviating depression among older adults should aim at improving perceptions of perceived susceptibility in the older population.

Factors associated with work-family enrichment among working Israeli parents during COVID-19 lockdowns.

This study examined work-family enrichment, protective resources and psychological implications among working Israeli parents during COVID-19. In this cross-sectional study, 409 working parents were recruited during Israel's third lockdown. Levels of FWC/WFC and resilience were moderate, psychological distress and fear of COVID-19 were low, and perceived social support was high. All the study variables showed significant associations with each other. A multivariate regression analysis explained 30% of the WFC and FWC variance. We found differences in FWC/WFC based upon children's age but not on parents' gender. FWC/WFC mediated the effect of perceived social support and resilience on fear of COVID-19 and psychological distress. The findings explain the importance of personal resources during the pandemic in buffering the negative effects of parents' work- and family-related burdens and have important implications for helping families with young children cope during challenging times.

"I Don't Know What to Say": Teachers' Perspectives on Supporting Bereaved Students After the Death of a Parent.

This qualitative study examined teachers' experiences dealing with bereaved students following the death of a parent. The researchers conducted in-depth, semi-structured, face-to-face interviews with 25 teachers in Israeli schools who had counseled one of their students after the death of a parent. The interviews were recorded and transcribed and underwent content analysis. Analysis of the findings revealed that the teachers felt helpless, confused, overloaded emotionally and anxious when counseling students who had lost a parent. In addition, the teachers discussed the complex nature of their relationship with the remaining parent, ranging from a desire to support the family through avoidance for fear of hurting the parent to fears of being overwhelmed by the child's problems. Many teachers mentioned their need for support from school officials.

Cervical cancer survivors: The experiences of the journey.

OBJECTIVE: Cervical cancer affects survivors' overall coping. Yet, specifically emotional and behavioral expression patterns among cervical cancer survivors have barely been examined. In addition, no study has focused on survivors' experiences of sequences related to coping. Understanding these perceptions can help provide a tailored response and improve psycho-social interventions. The aim of this study was to gain a better understanding of the emotional and behavioral motives involved in coping with cervical cancer recovery. METHODS: Qualitative interviews were conducted with 15 survivors of cervical cancer (stages I and II), using a semi-structured in-depth questionnaire. The interviews were recorded, transcribed, and analyzed by three researchers using thematic analysis. RESULTS: Six main themes emerged: (i) Reasons and benefits for keeping the disease a secret or sharing it with others; (ii) "When you get used to despair, there's also room for hope": Despair alongside hope; (iii) Self-guilt following the disease, but also knowing how to forgive yourself; (iv) Deep loneliness alongside a significant need for support; (v) Finding the way from passivity to activity; and (vi) When meaning in life is missing, and the importance of meaning when it is present. There was a balance between negative emotions and behaviors (despair, confidentiality, guilt, loneliness, passivity, lack of meaning) and positive emotions and behaviors (hope, openness, forgiveness, significant support, activity, meaning). SIGNIFICANCE OF THE RESULTS: The study revealed that in some cases cervical cancer coping during the recovery period moves across sequences. The women's narratives portray past difficulties as the reason for present psychological health, and their experience of a healthy present is intensified by their past difficulties. Implications for practice are discussed.

Discomfort in Discussing Sexual Issues: Developing a New Scale for Staff at Long-Term Care Facilities for Older Adults.

Interviews reveal that many health professionals working with older adults are uncomfortable discussing sexual issues with those under their care. Nevertheless, to date, discomfort in discussing sexual issues with older adults has not been empirically investigated. To facilitate exploration of this subject, the current study evaluated the psychometric properties of a new measure: The Discomfort in Discussing Sexual Issues (DDSI) with Older Adults scale. The study was conducted via online survey among 127 long-term care staff (e.g., nurses, physicians, physical therapists, social workers, speech therapists, occupational therapists) serving older adults. A confirmatory factor analysis confirmed the DDSI scale's structure as a single, four-item construct. More conservative attitudes regarding sexuality in later life were associated with higher DDSI scores. In addition, DDSI scale scores were negatively correlated with knowledge about sexuality in later life and educational level. Findings indicate that the DDSI has good psychometric properties, as reflected by its high reliability and adequate validity, making it a useful assessment tool for future research. [Journal of Gerontological Nursing, 48(9), 27-37.].

Are Personal Resources and Perceived Stress Associated with Psychological Outcomes among Israeli Teachers during the Third COVID-19 Lockdown?

Teachers' psychological responses during a pandemic, such as COVID-19, play an important role in their adaptation to the new routine. This research aimed to explore the association between personal resources (sense of control, social support), perceived stress, and three psychological outcomes (resilience, depression, loneliness) among teachers during the third COVID-19 lockdown in Israel. A cross-sectional study was conducted among 208 teachers. Significant associations were found between perceived stress, resilience, depression, and loneliness. Sense of control was significantly associated with perceived social support. The research model was tested using Structural Equation Modeling. The model yielded appropriate indices of fit (χ2(10) = 10.31, χ2/df = 1.03, p = 0.413, NFI = 0.970, NNFI = 0.997, CFI = 0.999, RMSEA = 0.012, 95%CI RMSEA = 0.077), demonstrating that the model fits the data well. Findings suggest that in order to improve teachers' psychological health during a virus outbreak, it is recommended to pay attention to their personal resources and perceived stress.

"A kaleidoscope of relationships" - cervical cancer survivors' perspectives on their intimate relationships: A qualitative study.

OBJECTIVE: Cervical cancer is known to affect survivors' intimate relationships, as well as their communication and coping. Yet little is known about the perspectives of these survivors on their intimate relationships in the context of their needs during and after medical treatment. Additionally, only a few studies have focused on survivors' perceived needs or on existing psychosexual support. Understanding these perceptions can help provide a tailored response and improve dyadic interventions. The aim of this study was to examine cervical cancer survivors' perspectives on their intimate relationships during and after their treatment. METHOD: The present study adopted a qualitative-phenomenological approach. In-depth, semi-structured interviews were conducted with 15 survivors of cervical cancer between the ages of 38 and 44 who were diagnosed at stages I-II and were treated with radiotherapy or chemo-radiotherapy and surgery. Data collection continued until saturation of concepts was reached. The results underwent thematic analysis. RESULTS: Analysis of the findings revealed two key themes: (1) Together and apart in the shadow of cervical cancer. This theme focuses on the recovery period as a potential opportunity for changing and improving the couple relationship, such that men no longer withdraw but rather provide their partners with needed support and encouragement. (2) Changes in sexual life and couple intimacy. This theme focuses on changes in sexual relations, which have become a burden, painful, and something to avoid. SIGNIFICANCE OF RESULTS: The study provides a comprehensive picture of intimate relationships during and after cervical cancer treatment and highlights the women's needs and desires for support from their intimate partners. The discussion notes that oncology providers can better facilitate supportiveness on the part of cervical cancer partners by offering better couple-oriented education and interventions to promote couple communication.

Association of stigma with mental health and quality of life among Indonesian COVID-19 survivors.

BACKGROUND AND OBJECTIVE: Coronavirus disease 2019 (COVID-19) survivors face societal stigma. The study aims to analyze the association of this stigma with the mental health and quality of life of COVID-19 survivors. METHODS: In this cross-sectional study, we observed 547 adults who were previously documented as severe acute respiratory syndrome coronavirus (SARS-CoV-2) positive by a polymerase chain reaction (PCR) test, treated in a hospital or an emergency hospital and proven to be SARS-CoV-2 negative by their latest PCR test. We adopted the Berger HIV Stigma Scale to measure stigma; the World Health Organization Quality of Life Brief Form to measure quality of life; and the Mental Health Inventory-38 to measure mental health. The chi-square and binary logistic regression tests were used to find the correlation between the variables. RESULTS: The multivariate analysis revealed that medium stigma was more likely related to quality of life and mental health than low stigma. Females were less likely to experience stigma related to mental health than men, and respondents who worked as laborers and entrepreneurs were less likely to experience stigma related to mental health than those who worked as civil workers/army personnel/teachers/lecturers. COVID-19 survivors experienced medium stigma in society and lower quality of life and mental health status. We found that quality of life and mental health were affected by stigma, sex, and occupation. CONCLUSION: COVID-19 survivors are a vulnerable group that is most at risk when they return to their communities. Creating a safe environment and providing respectful care, including addressing complex stigma factors, is vital for developing appropriate interventions.

The intrapersonal and interpersonal processes of fear of recurrence among cervical cancer survivors: a qualitative study.

OBJECTIVE: Cervical cancer's emotional and mental toll often extends beyond the disease's duration. Fear of cancer recurrence has been identified as prominent in patients and survivors, yet there is a paucity of studies regarding this population. The present study sought to explore and expand the understanding of the meaning of fear of cancer recurrence among cervical cancer survivors. METHODS: In this qualitative study, semi-structured interviews were conducted with 15 cervical cancer survivors. The interviewees' mean age was 41.33 years (range 34-47 years), and the mean time since diagnosis was 3.1 years (ranged from 0.5 to 7 years). RESULTS: Three central themes emerged that represent intrapersonal and interpersonal processes: The first, "No longer resilient" refers to feelings of uncertainty in the face of the illness experienced on the intrapersonal level, where the interviewee mostly engaged with efforts to return to the "normal" state that existed before the cancer diagnosis. The second, "To be afraid in a dyad," relates to the interpersonal level that included mutual fears shared by the interviewee and her partner. The third "And what if the disease comes back and I die?" represents a combination of intrapersonal and interpersonal processes manifested by the greatest fear - death - expressed by both the interviewee and her partner. CONCLUSIONS: The present findings revealed that the fear of cancer recurrence represents intrapersonal and interpersonal processes encompassing three factors - uncertainty, social-cognitive processing, and death anxiety. Accordingly, potential psycho-social treatment options could be tailored to specifically address the prominence of these factors for cervical cancer survivors.