Search Results (7,970)

This study aimed to explore the correlations of nuclear factor erythroid 2-related factor-2 (NRF2) gene polymorphisms, prepregnancy body mass index (BMI) and the interaction between them with the risk of preeclampsia (PE). A case–control study was conducted in which pregnant women with PE (n = 198) and normotensive pregnant women (n = 396) were recruited as the case group and control group, respectively, from two tertiary hospitals in Hunan Province. Data collection was achieved through face-to-face interviews utilizing a standardized questionnaire, along with perinatal health care records. Blood samples were also collected, and genotyping of nine single-nucleotide polymorphisms (SNPs) in the NRF2 gene was subsequently performed using the MassArray platform. Both univariate and multivariate logistic regression analyses were employed to assess the associations of NRF2 gene polymorphisms with prepregnancy BMI and their interactions with the risk of PE. Multivariate logistic regression analyses revealed a significant association between prepregnancy BMI and PE susceptibility. Specifically, prepregnancy overweight/obesity (BMI ≥ 24.0 kg/m²) was associated with an elevated risk of PE (adjusted OR = 4.59, 95% CI: 2.82–7.45), whereas underweight status (BMI < 18.5 kg/m²) was correlated with a reduced PE risk (adjusted OR = 0.38, 95% CI: 0.18–0.78). The NRF2 polymorphism rs13005431 exhibited a protective effect against PE under the additive genetic model (adjusted OR = 0.59, 95% CI: 0.37–0.93). Furthermore, logistic regression analyses revealed a significant effect of the multiplicative interaction between prepregnancy overweight/obesity and polymorphisms rs35652124 (adjusted OR = 0.24, 95% CI: 0.06–0.89) and rs2627765 (adjusted OR = 3.62, 95% CI: 1.07–12.23) on susceptibility to PE. These findings collectively underscore the critical and independent roles of prepregnancy BMI, NRF2 polymorphisms, and their interactions in modulating PE susceptibility, suggesting that the combined effects of metabolic profiles and genetic determinants may act synergistically to shape PE risk. Full article

Background: Gastroparesis presents with frequently debilitating symptoms of nausea, vomiting, abdominal pain, bloating and early satiety, resulting in high healthcare utilization. Resilience, defined as the inherent and modifiable ability of an individual to adapt and recover positively to stress, is crucial for patients with chronic diseases but has not been studied in gastroparesis. We aimed to investigate if resilience correlates with acute care utilization and symptom severity in patients with gastroparesis. Methods: We conducted a single-center prospective observational study of patients with gastroparesis. Resilience was assessed using the 10-item Connor–Davidson Resilience scale (CD-RISC). Symptom severity was assessed through the Gastroparesis Cardinal Symptom Index (GCSI). Gastric emptying severity using scintigraphy or wireless motility capsule was categorized as mild, moderate, or severe based on consensus recommendations. Acute care utilization and hospitalizations in the last 12 months, comorbidities, medications, and demographic information were collected. Count outcomes were modeled using negative binomial regression due to overdispersion. Models were adjusted for age, sex, and symptom severity. Results: Among 40 consecutive patients (mean age 39 ± 16, 88% female), gastric emptying severity was mild in 35%, moderate in 15%, severe in 30%, and unknown in 20%. Mean resilience score was 29 ± 8 and mean GCSI was 2.96 ± 1.14. Gastroparesis symptoms did not correlate with gastric emptying severity (p = 0.5). In a linear regression model, no statistically significant correlation was observed between resilience and mean GCSI score in unadjusted or adjusted models. In negative binomial regression models, greater symptom severity was strongly associated with higher Emergency Department (ED)/urgent care visits (IRR 3.12; 95% CI 1.60–6.98; p < 0.001) and hospitalization rates (IRR 3.36; 95% CI 1.62–8.57, p = 0.006). Resilience was not a significant predictor of either (IRR 1.07; 0.95–1.22; p = 0.2 and IRR 1.02; 0.89–1.18; p = 0.7). Conclusions: Among patients with gastroparesis, no statistically significant association was detected between resilience and symptom severity, gastric emptying, or acute-care utilization after accounting for clinical and demographic factors. Symptom severity was the dominant predictor of ED visits and hospitalizations. These findings suggest that symptomatic disease burden, rather than objective gastric emptying severity, is the primary driver of acute healthcare utilization in this cohort. Full article

The Irish Association for Cancer Research (IACR) Annual Conference 2025, held in Belfast, showcased cutting-edge developments across the cancer research landscape. This report summarizes key presentations, highlighting innovations in drug delivery, exercise interventions, artificial intelligence and computational biology, cancer stem cell plasticity, and translational research approaches. The meeting emphasised mechanistically informed strategies, multi-modal therapies, and the integration of patient-relevant models to improve therapeutic outcomes. The sessions collectively underscored the importance of combining biological, chemical, and physical approaches, as well as emerging tools in precision oncology, to address therapeutic resistance and enhance patient care. Full article

Background/Objectives: Dental fear and anxiety (DFA) in children can negatively affect oral health behaviors and dental care utilization. Family-related factors, particularly parental anxiety, parenting styles, and socioeconomic characteristics, may be associated with DFA. This study aimed to investigate the association between family-related factors and DFA among children aged 6–8 years in Jakarta, Indonesia. Methods: A cross-sectional study was conducted among 294 child–parent pairs recruited from 10 primary schools using multistage cluster sampling. Children’s DFA was assessed using the Children’s Fear Survey Schedule–Dental Subscale (CFSS-DS), whereas parental dental anxiety was measured using the Modified Dental Anxiety Scale (MDAS). Sociodemographic and family-related characteristics, including parenting styles, were collected using self-administered questionnaires. Data were analyzed using chi-square tests and multivariable logistic regression. Results: Overall, 34.7% of the children were classified as having DFA. Maternal employment was significantly associated with children’s DFA, with children of formally employed mothers having higher odds of DFA (aOR = 2.01, 95% CI: 1.05–3.85; p = 0.034). Parental dental anxiety was associated with children’s DFA. Children whose fathers and mothers reported high levels of dental anxiety had 4.68-fold (95% CI: 1.64–13.33; p = 0.004) and 2.50-fold (95% CI: 1.10–5.74; p = 0.029) higher odds of experiencing DFA, respectively. Dental drilling and injections were the most frequently reported fear-provoking stimuli. The final regression model explained 13% of the variance in children’s DFA. Conclusions: Parental dental anxiety and maternal employment were significantly associated with DFA among children aged 6–8 years. Family-centered preventive strategies and early identification of at-risk children may help reduce DFA and promote positive dental experiences and oral health outcomes. Full article

Background/Objectives: Gram-negative neonatal sepsis remains a cause of morbidity and mortality in preterm infants, yet the relationship between early clinical severity and long-term neurodevelopmental outcomes is incompletely defined. This study aimed to characterize Gram-negative sepsis in preterm infants and to evaluate its short-term and 18–24-month neurodevelopmental consequences. Methods: We conducted a retrospective observational cohort study of preterm infants admitted to a tertiary neonatal intensive care unit between 1 January 2022 and 31 December 2023. Infants with culture-proven Gram-negative neonatal sepsis, including both early-onset sepsis (EOS) and late-onset sepsis (LOS), were included. Clinical, microbiological, therapeutic, and laboratory data were collected, and survivors were assessed at 18–24 months’ corrected age using the Bayley Scales of Infant and Toddler Development. Results: Among infants with culture-proven Gram-negative sepsis, late-onset cases were more frequent than early-onset cases, and Klebsiella pneumoniae was the most common pathogen (38.0%). Multidrug-resistant organisms were associated with 52.0% of infections. In-hospital mortality was 26.0%. Major short-term complications included intraventricular hemorrhage (24.0%), severe intraventricular hemorrhage (20.0%), necrotizing enterocolitis (12.0%), bronchopulmonary dysplasia (20.0%), and meningitis (10.0%). Among survivors who underwent neurodevelopmental assessment, neurodevelopmental impairment was observed in 38.0%, most frequently affecting the language (22.5%) and cognitive (20.0%) domains. Infants with neurodevelopmental impairment had significantly lower gestational age and birth weight and higher inflammatory biomarker levels. In multivariable analyses, lower gestational age emerged as the strongest independent predictor of both mortality (adjusted OR 0.19, 95% CI 0.04–0.99) and neurodevelopmental impairment (adjusted OR 0.12, 95% CI 0.02–0.71). Conclusions: Gram-negative neonatal sepsis in preterm infants was associated with substantial mortality, severe neonatal complications, and a high burden of later neurodevelopmental impairment. Lower gestational age was independently associated with adverse short- and long-term outcomes. These findings support early recognition, targeted antimicrobial therapy, and structured neurodevelopmental follow-up in this high-risk population. Full article

Background: Stroke-associated infection (SAI) is a common complication of acute ischemic stroke and is associated with adverse clinical outcomes. Contemporary prospective data from Southeast Asia remain limited. The primary objective was to determine the prevalence of SAI in patients with acute ischemic stroke. Secondary objectives were to identify associated clinical predictors and evaluate its relationship with in-hospital outcomes. Methods: This prospective observational cohort study included 390 adults with acute ischemic stroke admitted to a tertiary center between August 2024 and November 2025. SAI was defined as clinically diagnosed infection occurring within seven days of stroke onset using standardized criteria. Demographic, clinical, and treatment variables were collected. Stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS). Functional outcome at discharge was evaluated using the modified Rankin Scale (mRS). Multivariable logistic regression was performed to identify independent predictors of SAI. Results: SAI occurred in 75 patients, giving a prevalence of 19.2% (95% CI 15.3–23.1). Pneumonia was the predominant subtype (14.4%). On multivariable analysis, higher NIHSS score (adjusted OR 1.10 per point; 95% CI 1.05–1.14; p < 0.001) and mechanical thrombectomy (adjusted OR 3.02; 95% CI 1.11–8.26; p = 0.031) were independently associated with SAI. Patients with SAI had longer hospital stays (median 8 vs. 4 days, p < 0.001), poorer functional outcomes (81.3% vs. 24.8% with mRS 3–6, p < 0.001), and higher in-hospital mortality (17.3% vs. 1.0%, p < 0.001). Conclusions: Stroke-associated infection affected approximately one-fifth of patients with acute ischemic stroke and was strongly associated with stroke severity and adverse clinical outcomes. These findings support early risk stratification and targeted preventive strategies in acute stroke care. Full article

Background/Objectives: Chronic diseases account for 74% of global deaths, with multimorbidity (existence of more than one chronic condition) increasing disability risk and treatment burden, leading to poor adherence, disease progression, and reduced quality of life. Nursing-led proactive care models that focus on patient engagement, education, and self-care can help mitigate these challenges. The study aims to evaluate the effectiveness of a nurse-led proactive health intervention in improving care for individuals with chronic diseases in general practice. Methods: A quasi-experimental pre–post study will be conducted in a Community Health Home in Northern Italy. Family and community nurses will deliver the intervention, which includes assessments, educational sessions, and follow-ups for patients aged 65+ with at least one chronic condition. Recruitment will occur over three months. Results: Primary outcomes include emergency department visits and hospitalizations, while secondary outcomes focus on medication adherence, self-care, and service utilization. Data will be collected at 6 and 12 months, and statistical analysis will use descriptive methods and generalized estimating equations (GEEs). Conclusions: This study will improve the understanding of the value of nurse-led proactive intervention, filling the gap in the literature by testing evidence-based approaches on a realistic frail population. Moreover, delivering a complex but structured intervention will provide evidence for future interventions to reduce treatment burden and improve health outcomes. Full article

Background/Objectives: Latent fingerprints are routinely recovered from conventional porous and non-porous substrates; however, biologically active surfaces such as plant leaves are generally regarded as unsuitable for dactyloscopic evidence. Because vegetation is frequently present at crime scenes, this study aimed to systematically evaluate whether plant leaves can retain usable friction ridge detail and to determine the durability and forensic value of such traces under laboratory and outdoor conditions. Methods: Latent fingerprints were deposited on leaves of multiple plant species (maple, ash, dandelion, bird cherry, chestnut, climbing ivy, and five-leaved ivy) under dry and hydrated conditions and at defined time intervals after deposition. Visualization was performed using several powders, with SupraNano Fluorescent Green magnetic powder providing the best performance. Developed impressions were photographed using controlled illumination and evaluated using automated quality assessment (NFIQ 2.0) and comparison software (Innovatrics IDkit 9.1.7.1004). Additional experiments examined living, growing leaves exposed to natural weather conditions for extended periods. Results: Usable ridge detail was successfully visualized on all tested species. Bottom leaf surfaces and hydrated samples generally provided better preservation and contrast. Identifiable traces persisted for up to 20 h on detached leaves and for up to 35 days on living leaves despite growth-related deformation. Under outdoor exposure, fingerprints on ivy remained visible and comparable for up to 60 days. Although overall automated quality scores were reduced by background venation, selected impressions achieved measurable comparison scores and successful matches. Conclusions: Plant leaves can serve as unconventional yet viable carriers of latent fingerprints. Magnetic fluorescent powder development combined with careful documentation enables recovery of forensically useful ridge detail even after prolonged environmental exposure. These findings expand the range of substrates that should be considered during crime scene processing and provide practical guidance for evidence collection on vegetation. Full article

Background/Objectives: Labor pain is a multidimensional experience associated with physiological, cultural, psychological, and contextual factors. This study aimed to examine the association of personality-related characteristics, cultural beliefs, obstetric characteristics, and proxy indicators of post-disaster context with labor pain perception among women giving birth in Hatay after the 2023 Türkiye earthquakes. Methods: This prospective observational study was conducted with 314 women admitted to Hatay Training and Research Hospital between February and June 2025. Participants were between 38 and 42 gestational weeks, had a singleton healthy fetus, were admitted in active labor, and were expected to give birth vaginally. Data were collected using a researcher-developed questionnaire, the Ten-Item Personality Inventory, and the Visual Analog Scale. Labor pain was assessed at 6 cm, 8 cm, and full cervical dilatation (10 cm). Results: VAS scores increased significantly across cervical dilatation points, from 5.04 ± 0.81 at 6 cm to 7.01 ± 0.82 at 8 cm and 8.06 ± 0.93 at full cervical dilatation (10 cm). Repeated-measures ANOVA showed a significant within-person increase in pain intensity across the three assessment points, F(2, 626) = 996.444, p < 0.001, partial η² = 0.761. Age was not significantly correlated with VAS pain score at full cervical dilatation. In exploratory unadjusted comparisons, VAS scores at full cervical dilatation differed according to education level, official marriage status, previous birth history and mode, attendance at antenatal education, and praying to relieve labor pain. In the multivariable regression model, higher Extraversion and higher education level were associated with lower VAS scores, whereas attendance at antenatal education, greater importance given to traditional rules, previous assisted vaginal/cesarean birth, and current place of residence were independently associated with VAS scores. Conscientiousness was not significantly associated with VAS scores in the adjusted model. Earthquake experience was not significantly associated with VAS scores. Conclusions: Labor pain perception was associated with selected sociodemographic, obstetric, and cultural characteristics. The findings support the importance of individualized, culturally sensitive, and trauma-informed midwifery care in disaster-affected regions. Personality-related findings should be interpreted cautiously because the corrected reliability analysis showed low internal consistency for Agreeableness, Emotional Stability, and Openness to Experience, although Extraversion showed high internal consistency and Conscientiousness showed relatively better but still limited internal consistency. Disaster-related findings should also be interpreted cautiously because post-disaster context was assessed using only limited proxy indicators; current place of residence was independently associated with VAS scores in the adjusted model, whereas earthquake experience was not. Because of the observational design, causal interpretations cannot be made. Full article

This study examines the impact of imprisonment on the families of incarcerated men in England and Wales. Drawing on mixed-methods survey data collected in collaboration with the Prison Advice and Care Trust (PACT), the research is based on responses from 42 participants. The sample comprised 21 partners/spouses, 11 parents, 5 adult children, 2 siblings, 1 other relative and 1 friend of an incarcerated individual, with 1 participant preferring not to disclose their relationship. The study explores the financial, social, emotional and relational consequences associated with imprisonment. Findings indicate that financial strain was a significant pressure for many participants, driven by loss of income alongside the costs associated with maintaining contact. Participants also described experiences of stigma, social withdrawal, emotional distress and changes to family responsibilities, highlighting the multiple challenges associated with imprisonment for family members. Consistent with emerging research highlighting the wider emotional and psychological consequences of imprisonment for family members, the findings suggest that these pressures were often experienced as interconnected aspects of participants’ experiences rather than in isolation. The study illustrates the value of the symbiotic harms framework for understanding the relational and interconnected dimensions of family members’ experiences of imprisonment in a UK context and highlights the practical and emotional labour involved in maintaining family relationships during imprisonment. The findings underscore the importance of recognising families as individuals directly affected by imprisonment and by the wider consequences of penal policy. Full article

Background: The continued evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) created ongoing challenges for molecular diagnostics and variant surveillance. Assays capable of maintaining diagnostic sensitivity across emerging variants while providing variant-related information remain essential for clinical and public health applications. This study evaluated the performance of the GXT96 X3 extraction kit in combination with the FluoroType^® SARS-CoV-2 varID Q version 1.0 assay (Hain LifeScience SA (Pty) Ltd., South Africa) for the detection, semi-quantitative assessment, and variant characterization of SARS-CoV-2 under laboratory conditions. Methods: A total of 220 samples were evaluated, including residual nasopharyngeal clinical specimens (n = 183), reference materials, and cultured SARS-CoV-2 virus dilutions. Residual specimens collected during multiple COVID-19 waves in South Africa (wild-type, Beta, Delta, and Omicron) were compared against standard-of-care (SOC) molecular assays used for routine diagnosis. RNA extraction was performed using the automated GXT96 X3 platform, followed by amplification on the FluoroCycler^® XT using the FluoroType^® SARS-CoV-2 varID Q assay targeting RdRp and N genes, with additional spike gene mutation detection for variant detection. Diagnostic accuracy, agreement (Cohen’s kappa), precision, linearity, and limit of detection (LoD) were assessed. Results: The assay demonstrated a sensitivity of 98.4% (95% CI: 94.2–99.8) and specificity of 100% (95% CI: 95.9–100.0) compared with SOC assays, with an overall agreement of κ = 0.981. Precision analysis showed acceptable reproducibility with a standard deviation of ≤1.49 and a coefficient of variation of ≤3.83%. Regression analysis demonstrated linearity across the dilution series (R² = 0.9882 for RdRp and 0.994 for N genes). The LoD was ≤100 copies/mL for the RdRp gene and 250 copies/mL for the N gene. Variant-associated spike mutations corresponded broadly with epidemiological wave patterns observed in South Africa. Conclusions: Under the evaluated laboratory conditions, the GXT96 X3 extraction platform combined with the FluoroType^® SARS-CoV-2 varID Q assay demonstrated high diagnostic accuracy and reproducibility for SARS-CoV-2 detection across a range of viral loads with additional spike gene mutation detection as an adjunct feature. Full article

Background: Despite its typically self-limiting course, acute diarrheal disease continues to be clinically relevant from an antimicrobial resistance surveillance perspective. In-depth analyses at a national level remain limited, with available Romanian studies from the last decade focusing on individual pathogens, often relying on a restricted isolate collection. In this context, we aimed to evaluate antimicrobial resistance profiles and distribution of Salmonella spp., Campylobacter spp., Escherichia coli, Yersinia spp. and Shigella spp. Methods: Data was obtained from records from the Microbiology Laboratory of a tertiary-care hospital serving the south region of Romania, over a 3-year period. Results: Campylobacter spp. had high resistance rates to ciprofloxacin (81.65% for C. jejuni; 85.15% for C. coli) and tetracycline (44.65% for C. jejuni; 56.07% for C. coli). Erythromycin resistance remained low and stable over the study period, with no statistically significant temporal variation; however, C. coli isolates demonstrated significantly higher erythromycin (p = 0.001) and tetracycline (p = 0.008) resistance rates compared to C. jejuni. Overall Salmonella spp. resistance rate to ciprofloxacin was 46.00%, with higher resistance observed in serogroups C (63.64%) and D (52.53%) (p < 0.01). Ampicillin (AMP) resistance varied significantly across years and serogroups, with serogroup B consistently demonstrating higher resistance rates (40.48%) (p < 0.001). E. coli isolates reacting with pathotype-associated O antisera revealed high resistance levels to ampicillin (41.57%), amoxicillin–clavulanic acid (AMC) (38.73%) and sulfamethoxazole–trimethoprim (SXT) (19.25%), with low resistance levels to ciprofloxacin (9.04%) and ceftriaxone (CRO) (9.71%); no significant variation in resistance patterns was identified across years or serological pools, suggesting a relatively stable resistance profile over the study period. Yersinia spp. isolates showed no notable antimicrobial resistance levels. Shigella spp. isolates exhibited high resistance for ampicillin (78.57%), sulfamethoxazole–trimethoprim (68.75%), amoxicillin–clavulanic acid (50.00%) and ceftriaxone (35.41%). Conclusions: This study addressed a recognized gap in Romanian and Eastern European surveillance data and aims to contribute to a stronger evidence base for future epidemiological investigations and antimicrobial stewardship efforts. Resistance rates identified in our study may provide valuable information for comparison with data generated from veterinary, food and environmental surveillance programs, thereby supporting a more comprehensive understanding of antimicrobial resistance (AMR) epidemiology. These findings may additionally contribute to the development of coordinated strategies aimed at mitigating the emergence and spread of AMR. Full article

Background and Objectives: Effective palliative care relies on accurate identification and management of symptoms, especially in patients referred for palliative radiotherapy (PRT). This study aimed to identify symptom clusters (SCs)—defined as ≥2 interrelated symptoms—in patients evaluated at a multidisciplinary Radiotherapy and Palliative Care (RaP) outpatient clinic, using the Edmonton Symptom Assessment System (ESAS). Materials and Methods: We retrospectively analyzed data from patients referred to the RaP clinic between February 2017 and April 2020. Demographic and clinical characteristics, including ESAS scores at first visit, were collected. SCs were identified with principal component analysis (PCA) and unsupervised k-means clustering (KMC), determining the number of SCs based on the maximum gap statistic and interpretability. Associations with ECOG performance status (PS), primary tumor and metastases site, and PRT administration were analyzed. Exploratory survival analyses were performed. Results: Among 215 patients (median age = 71 years; 53% male), the mean total ESAS score was 24.03 (SD = 15.28). PCA identified four SCs: SC_PCA1 (tiredness, drowsiness, dyspnea, malaise), SC_PCA2 (depression, anxiety), SC_PCA3 (nausea, loss of appetite) and SC_PCA4 (pain). KMC revealed three SCs: SC_KMC1 (pain, tiredness, drowsiness, malaise), SC_KMC2 (nausea, loss of appetite, dyspnea), and SC_KMC3 (depression, anxiety). Worse ECOG PS correlated with physical SCs (p < 0.05). Psychological SCs were associated with lower likelihood of receiving PRT (OR_PCA2 = 0.26, CI: 0.07–0.80, OR_kmc3 = 0.19, CI: 0.02–0.85, p < 0.05), but when associated with pain/systemic clusters correlated with greater PRT use. A trend toward shorter survival was seen in SC_KMC2. Conclusions: SC analysis could improve personalized symptom management and clinical decision-making in the PRT setting. Full article

Background: Research on nursing interventions for breast cancer patients undergoing radiotherapy is increasing. However, comprehensive mapping and synthesis regarding the field’s overall knowledge structure and development remain limited. This study aims to utilize bibliometric methods to analyze the current status, research hotspots, and emerging trends in this field. Methods: We conducted a bibliometric analysis of 256 publications from the Web of Science Core Collection and PubMed. Results: Publication volume showed a notable increase after 2020 (16–25 articles per year). The United States leads in output (82 articles, 32.0%), followed by China (25 articles). At the institutional level, the University of California, San Francisco (10 articles) is the most productive, while George Washington University leads in total citations (1759). Oncology Nursing Forum is the leading journal both in publication volume (20 articles) and h-index (13). Twelve major research clusters were identified, primarily focusing on symptom management (specifically pain) and psychosocial support. Keyword burst analysis suggests that current frontiers have shifted from acute symptom control toward systematic management approaches and psychological symptom interventions. Conclusions: Based on the analysis of 256 publications and 12 research clusters, this study indicates that the focus of nursing research appears to be expanding from acute symptom control toward comprehensive case management and targeted psychological research. These findings may provide useful directions for future research and clinical practice, particularly regarding the integration of psychosocial care into nursing management. Full article

Background: Cervical cancer remains a significant health issue in Indonesia, where structural barriers, fragmented information, and sociocultural norms continue to hinder timely diagnosis and treatment. Families play a central role throughout the illness journey, yet their perspectives are often overlooked in the development of digital patient navigation systems. This study explored family experiences, caregiving challenges, and expectations for a family-centered digital navigation model, DIVA.ID, by integrating Digital Health frameworks and Family Systems Theory. Methods: A qualitative descriptive approach was employed through semi-structured, in-depth interviews with 18 purposively selected family caregivers of women with cervical cancer at a major referral hospital in West Java. Participants were selected because they were directly involved in daily care, treatment decisions, logistical support, or emotional assistance. Interviews were conducted between August and October 2025 and continued until thematic saturation was reached, as indicated by repetition of categories and the absence of new major codes in the final interviews. Data were analyzed using inductive–deductive content analysis guided by Elo and Kyngäs, with five researchers conducting independent coding, iterative code comparison, consensus meetings, and theoretical mapping. Results: Four main themes emerged: (1) family involvement in decision-making, including collective discussion, shifting authority roles, and patient autonomy; (2) caregiver burden, involving physical exhaustion, psychological distress, social restriction, stigma, financial pressure, and employment disruption; (3) psycho-spiritual coping mechanisms, including emotional sharing, prayer, crying, patience, and surrender to God; and (4) digital healthcare needs, covering BPJS guidance, treatment information, scheduling, communication pathways, shelter support, and mental–spiritual support. Mapping these themes to Digital Health frameworks and Family Systems Theory clarified how DIVA.ID could translate family experiences into practical navigation functions. Conclusions: This study provides empirical foundations for a culturally sensitive, family-centered digital navigation model in Indonesia. Rather than demonstrating effectiveness, the findings identify design requirements for DIVA.ID that should be tested in subsequent feasibility, usability, and intervention studies. Full article