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Nevin Manimala Statistics

Passive Remote Monitoring Technologies’ Influence on Home Care Clients’ Ability to Stay Home: Multiprovincial Randomized Controlled Trial

JMIR Aging. 2025 Mar 19;8:e69107. doi: 10.2196/69107.

ABSTRACT

BACKGROUND: Researchers in Nova Scotia and Ontario, Canada, implemented a passive remote monitoring (PRM) model of home care unique to their health system contexts. Each PRM model integrated tailored PRM devices (eg, motion sensors, cameras, and door alarms) into home care patients’ residences with the aim of linking patients, family and friend caregivers, and health care providers to support older adults’ aging in place.

OBJECTIVE: The purpose of this study was to examine the use of PRM technologies in the home to support older adults’ safe aging in place and avoidance or delay of higher levels of care.

METHODS: This multiprovincial pragmatic randomized controlled trial examined how PRM technologies support older adults to safely remain in their home and avoid or delay admission to higher levels of care. Pairs of home care patients and their family and friend caregivers were recruited in Ontario and Nova Scotia. Participant pairs were randomly assigned to one of two conditions: (1) standard home care (ie, control) or (2) standard home care plus study-provided PRM (ie, intervention). Participants provided their provincial health insurance numbers to link with provincial health administrative databases and identify if patients were admitted to higher levels of care after 1 year. Cox proportional hazards models were used to evaluate the primary outcome in each province.

RESULTS: In total, 313 patient-caregiver pairs were recruited: 174 pairs in Ontario (intervention: n=60; control: n=114) and 139 pairs in Nova Scotia (intervention: n=45; control: n=94). Results indicate PRM was associated with a nonsignificant 30% reduction in risk of patients being admitted to higher levels of care in Ontario (hazard ratio 0.7, 95% CI 0.3-1.4) and no reduction in risk in Nova Scotia (hazard ratio 1.1, 95% CI 0.3-3.7). Adjusting for patient sex had no impact on model estimates for either province.

CONCLUSIONS: Limitations related, in part, to the impact of the COVID-19 pandemic may have contributed to the effectiveness of the intervention. While our study did not yield statistically significant results (P=.30 and P=.90) regarding the effectiveness of the PRM model in prolonging home stays, the observed trends suggest that technology-assisted aging in place may be a valuable goal for older adults. Further study is required to understand if longer follow-up time allows more effects of PRM on patients’ avoidance of higher levels of care to be detected.

TRIAL REGISTRATION: ISRCTN ISRCTN79884651; https://www.isrctn.com/ISRCTN79884651.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/15027.

PMID:40106817 | DOI:10.2196/69107

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Nevin Manimala Statistics

Targeted Behavior Change Communication Using a Mobile Health Platform to Increase Uptake of Long-Lasting Insecticidal Nets Among Pregnant Women in Tanzania: Hati Salama “Secure Voucher” Study Cluster Randomized Controlled Trial

J Med Internet Res. 2025 Mar 19;27:e51524. doi: 10.2196/51524.

ABSTRACT

BACKGROUND: Malaria remains a significant cause of maternal and neonate morbidity and mortality in sub-Saharan Africa. Long-lasting insecticidal nets (LLINs) represent an important component of malaria prevention and can decrease the adverse health outcomes associated with malaria infection during pregnancy. Voucher programs have been successfully implemented for a variety of initiatives across sub-Saharan Africa, including the distribution of subsidized LLINs in Tanzania. However, mobile messaging for behavior change communication (BCC), in combination with an e-voucher program, has not been explored for malaria prevention.

OBJECTIVE: This study aimed to assess the efficacy of mobile messaging in increasing the redemption of e-vouchers for LLINs for pregnant women and adolescents in Tanzania.

METHODS: This study was a blinded, 2-arm, cluster randomized controlled trial implemented in 100 antenatal health facilities in Tanzania (both urban and rural settings), with 50 clusters in both intervention and control groups. Clusters were antenatal clinics with e-voucher capabilities, with randomization stratified such that 25 urban and 25 rural clinics were randomized to each arm. Participants were pregnant females aged 13 years or older. Participants in both intervention and control groups were issued e-vouchers on their mobile phones that could be redeemed for LLINs at registered retailers within a 14-day redemption period. Participants in the intervention group received targeted BCC messages about the importance of malaria prevention and LLIN use during pregnancy, while participants in the control group did not receive BCC messages. Analyses were by intention to treat. The primary outcome was the redemption rate of e-vouchers for LLINs from retailers. Outcome measures pertain to clinic sites and individual participant-level data.

RESULTS: The study enrolled 5449 participants; the analysis included 2708 participants in the intervention arm and 2740 participants in the control arm (49 clusters in each group analyzed). There was no significant difference in the raw redemption rate of e-vouchers between pregnant participants in the intervention group (70%) and the control group (67%). Younger participants were less likely to redeem e-vouchers.

CONCLUSIONS: The use of a BCC mobile messaging intervention did not result in a significant increase in LLIN uptake for pregnant individuals. However, the study shows that e-voucher distribution through nurses in antenatal clinics in partnership with local retailers is feasible on a large scale. Consideration of women and adolescents who are low-income and live in rural areas is needed for future interventions leveraging e-vouchers or mHealth technology in low-resource settings.

TRIAL REGISTRATION: ClinicalTrials.gov NCT02561624; https://clinicaltrials.gov/ct2/show/NCT02561624.

PMID:40106816 | DOI:10.2196/51524

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Nevin Manimala Statistics

Digital Health Literacy Questionnaire for Older Adults: Instrument Development and Validation Study

J Med Internet Res. 2025 Mar 19;27:e64193. doi: 10.2196/64193.

ABSTRACT

BACKGROUND: The integration of digital technology into older adult health and care has enhanced the intelligence of health and older adult care products and services while also transforming how seniors acquire and share health information. Assessing older adults’ digital health literacy (DHL) is crucial for developing targeted interventions.

OBJECTIVE: This study aims to develop and validate a DHL assessment questionnaire for older adults. It also seeks to evaluate the questionnaire’s scientific validity and feasibility among community-dwelling older adults in China, providing a reliable tool for assessing their level of DHL.

METHODS: A literature review, focus group discussions, and the Delphi method were used to construct the questionnaire item pool and perform item screening. Item analysis was conducted for comprehensive evaluation, and questionnaire validity was assessed through construct validity (exploratory factor analysis, confirmatory factor analysis, convergent validity, and discriminant validity), content validity, and criterion-related validity. Reliability was analyzed using Cronbach alpha coefficient, split-half reliability, and test-retest reliability.

RESULTS: The study included 710 participants. Item analysis indicated that the questionnaire had strong discriminant validity. Correlation coefficient analysis showed that the item-total correlation coefficients ranged from 0.497 to 0.920 (P<.01). After multiple exploratory factor analyses, 6 common factors were extracted, with a cumulative variance contribution rate of 73.745%. Confirmatory factor analysis demonstrated a good model fit (χ2/df=2.803, root-mean-square error of approximation=0.071, comparative fit index=0.907, goodness-of-fit index=0.773, incremental fit index=0.908, Tucker-Lewis index=0.901, normed fit index=0.863). The questionnaire demonstrated favorable convergent validity, content validity, and criterion-related validity. The total Cronbach α coefficient was 0.976, with dimension-specific Cronbach α coefficients ranging from 0.819 to 0.952, indicating satisfactory internal consistency. Additionally, the test-retest reliability coefficient for the total questionnaire was 0.925, demonstrating good stability over time.

CONCLUSIONS: This study developed a questionnaire specifically designed to assess DHL in older adults through a scientifically rigorous and systematic process. The questionnaire demonstrates strong psychometric properties and can serve as an empirical tool for health professionals to design personalized intervention policies and enhance health service delivery.

PMID:40106815 | DOI:10.2196/64193

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Nevin Manimala Statistics

Effect of a Telemedicine Model on Patients With Heart Failure With Reduced Ejection Fraction in a Resource-Limited Setting in Vietnam: Cohort Study

J Med Internet Res. 2025 Mar 19;27:e67228. doi: 10.2196/67228.

ABSTRACT

BACKGROUND: Heart failure (HF) is a complex, life-threatening condition marked by high morbidity, mortality, reduced functional capacity, poor quality of life, and substantial health care costs. HF with reduced ejection fraction (HFrEF) represents the subgroup of HF with the highest risks of mortality and hospitalization, necessitating the prioritization of care and management models to optimize treatment outcomes in these patients. Currently, data on the effectiveness of telemedicine models in resource-limited settings, such as low- and middle-income countries, are scarce.

OBJECTIVE: This study aimed to evaluate the impact of telemedicine on improving prognosis in patients with HFrEF in Vietnam.

METHODS: In this prospective cohort study, we recruited patients who received either remote monitoring and management (telemedicine) or standard monitoring and management (usual care) in the outpatient department of the Vietnam National Heart Institute, Bach Mai Hospital, Hanoi, Vietnam. Eligible patients were ≥18 years old, had a diagnosis of HFrEF defined as left ventricular ejection fraction (LVEF) ≤40%, had a history of HF hospitalization within the past 12 months, and presented with clinical symptoms classified as New York Heart Association (NYHA) II or III. The primary composite outcome was defined as the time to the first unplanned HF hospitalization or all-cause mortality. The follow-up period for all outcomes extended to 12 months.

RESULTS: In total, 426 patients (298/426, 70% male; 128/426, 30% female) with a mean age of 61.3 (SD 14.6) years and a mean LVEF of 32.1% (SD 6.0%) were included in our study. Of these patients, 121 received telemedicine care, while 305 received usual care. The primary outcome occurred in 23 (23/121, 19%) patients in the telemedicine group and 82 (82/305, 26.9%) patients in the usual care group during the follow-up period, indicating a significant reduction in risk (adjusted hazard ratio [aHR] 0.57, 95% CI 0.35-0.94; P=.03). However, this effect was primarily driven by a significant reduction in unplanned HF hospital admissions (aHR 0.57, 95% CI 0.33-0.98; P=.04) rather than in all-cause mortality (aHR 0.77, 95% CI 0.36-1.63; P=.49).

CONCLUSIONS: This study demonstrates that a simplified telemedicine model, even in resource-limited settings such as Vietnam, can effectively facilitate the remote monitoring and management of patients with HFrEF, resulting in significant reductions in HF-related hospitalizations and all-cause mortality.

TRIAL REGISTRATION: National Agency for Science and Technology Information (NASATI), Vietnam CT07/01-2022-3; https://nsti.vista.gov.vn/projects/dth/xay-dung-mo-hinh-theo-doi-va-tu-van-suc-khoe-tim-mach-tu-xa-tai-thanh-pho-ha-noi-109276.html.

PMID:40106810 | DOI:10.2196/67228

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Nevin Manimala Statistics

Neurobiological Mechanisms of Enhanced Pain-Relieving Transcutaneous Electrical Nerve Stimulation via Visuo-Tactile Stimulation in Immersive Virtual Reality: Randomized Controlled Trial

J Med Internet Res. 2025 Mar 19;27:e63137. doi: 10.2196/63137.

ABSTRACT

BACKGROUND: Enhancing the effectiveness of current pain relief strategies is a persistent clinical challenge. Although transcutaneous electrical nerve stimulation (TENS) is used in various painful conditions, its effectiveness may decline over time, requiring additional pain management strategies. Immersive virtual reality (VR) with personalized visuo-tactile stimulation has demonstrated analgesic properties. Nevertheless, whether visuo-tactile stimulation can enhance the pain-relieving outcomes of TENS and its underlying neurophysiological mechanisms remains largely unknown.

OBJECTIVE: The study aims to investigate whether the integration of visuo-tactile stimulation with TENS can enhance the pain-relieving outcomes of TENS alone, and we also aim to explore the brain mechanisms underlying the analgesic effect of this integrated intervention.

METHODS: In this study, 75 healthy participants were enrolled and randomly assigned to 1 of 3 groups: congruent TENS-VR (TENS-ConVR) and 2 control groups (incongruent TENS-VR [TENS-InVR] and TENS alone). In the context of TENS-ConVR, we combined TENS and VR by connecting TENS-induced paresthesia with personalized visual bodily feedback. The visual feedback was designed to align with the spatiotemporal patterns of the paresthesia induced by TENS. A pain rating task and a 32-channel electroencephalography were applied.

RESULTS: Two-way ANOVAs showed that TENS-ConVR exhibited a statistically greater reduction in pain rating (F1,48=6.84; P=.01) and N2 amplitude (F1,48=5.69; P=.02) to high-intensity pain stimuli before and after stimulation than TENS alone. The reduction of brain activity was stronger in participants who reported stronger pain-relieving outcomes. TENS-ConVR reduced the brain oscillation in the gamma band, whereas this result was not found in TENS alone.

CONCLUSIONS: This study observed that combining TENS and visual stimulation in a single solution could enhance the pain-relieving effect of TENS, which has the potential to improve the effectiveness of current pain management treatments.

TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2500098834; https://www.chictr.org.cn/showprojEN.html?proj=254171.

PMID:40106805 | DOI:10.2196/63137

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Nevin Manimala Statistics

Proximal Effects of a Just-in-Time Adaptive Intervention for Smoking Cessation With Wearable Sensors: Microrandomized Trial

JMIR Mhealth Uhealth. 2025 Mar 19;13:e55379. doi: 10.2196/55379.

ABSTRACT

BACKGROUND: Tobacco use remains the leading preventable cause of morbidity and mortality in the United States. Novel interventions are needed to improve smoking cessation rates. Mindfulness-based interventions (MBIs) for cessation address tobacco use by increasing awareness of the automatic nature of smoking and related behaviors (eg, reactivity to triggers for smoking) from a nonjudgmental stance. Delivering MBIs for smoking cessation via innovative technologies allows for flexibility in the timing of intervention delivery, which has the potential to improve the efficacy of cessation interventions. Research shows MBIs target key mechanisms in the smoking cessation process and can be used to minimize drivers of smoking lapse.

OBJECTIVE: This single-arm study investigated the impact of mindfulness-based strategies and motivational messages on proximal outcomes, collected via ecological momentary assessment (EMA), relevant to tobacco abstinence via a microrandomized trial. This approach allows for the evaluation of intervention content on proximal outcomes (eg, reduced negative affect) that are thought to impact positive distal outcomes (eg, smoking abstinence).

METHODS: All participants were motivated to quit smoking, and the intervention they received included nicotine replacement therapy, brief individual counseling, and a 2-week Just-in-Time Adaptive Intervention (JITAI) with wearable sensors. Throughout the JITAI period, a single strategy was randomly pushed (vs not) multiple times per day through the smartphone application. An EMA next assessed negative affect, positive affect, mindfulness, abstinence self-efficacy, motivation to quit, craving, and smoking motives. The primary analyses evaluated differences in EMA outcomes (proximal) for when a strategy was pushed versus not pushed. Additional analyses evaluated changes in similar outcomes collected from surveys at the baseline and end-of-treatment visits.

RESULTS: Participants (N=38) were 63% (24/38) female, 18% (7/38) Hispanic or Latino, and 29% (11/38) African American. They had an average age of 49 years and smoked an average of 15 (SD 7.9) cigarettes per day. Results indicated that receiving the JITAI significantly reduced proximal negative affect in the second (and final) week of the intervention. Self-reports provided at baseline and end of treatment showed significant decreases in perceived stress, automaticity of smoking and craving, and a significant increase in abstinence self-efficacy. Increases in abstinence self-efficacy significantly predicted abstinence.

CONCLUSIONS: To our knowledge, this is the first study to test the proximal impact of a mindfulness-based JITAI on key variables associated with smoking cessation. Our primary finding was that negative affect was lower following the completion of a strategy (vs when no strategy was delivered) in the final week of the JITAI. Among a larger sample size, future research should extend the length of the intervention to further evaluate the impact of the JITAI, as well as include a comparison condition to further evaluate how each component of the intervention uniquely impacts outcomes.

TRIAL REGISTRATION: ClinicalTrials.gov NCT03404596; https://clinicaltrials.gov/study/NCT03404596.

PMID:40106803 | DOI:10.2196/55379

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Nevin Manimala Statistics

Loss of Tbx4 Affects Postnatal Lung Development and Predisposes to Pulmonary Hypertension

Am J Respir Cell Mol Biol. 2025 Mar 19. doi: 10.1165/rcmb.2024-0459OC. Online ahead of print.

ABSTRACT

Pulmonary arterial hypertension (PAH) is a progressive vascular disease characterized by remodeling of the precapillary pulmonary arteries. Genomic variation within the T-box 4 (TBX4) transcription factor is the second most common genetic cause of PAH, and can also cause severe lung developmental disorders with neonatal PH. Currently, the effect of TBX4 loss-of-function on later stages of lung development and predisposition to lung disease, including PH, is not well understood. Therefore, we have generated Tbx4 conditional knockout (Tbx4-CKO) mice in which Cre recombinase deletes exon 5 of Tbx4 within the embryonic lung mesenchyme to create a null allele. We harvested lungs from these mice at various timepoints to examine alveologenesis, vascularization, vascular remodeling, lung cellular composition, and disruption of transcriptional activity compared with control lungs. Right ventricular systolic pressure (RVSP) was measured in six-month-old mice to evaluate for PH. Tbx4-CKO lungs show enlargement of airspaces, as confirmed by an increase in mean linear intercept at P14 (24.9%), P36 (31.5%), and P180 (49.6%). These lungs also show a 39.3% decrease in von Willebrand Factor-positive vessels and a 14.2% increase in vessel wall thickness. Consistent with these results, Tbx4-CKO mice show a statistically significant increase of 15.7% in RVSP and 16.3% in the Fulton index. Bulk-RNA sequencing analysis revealed enrichment of pathways and genes relevant to lung alveologenesis, angiogenesis, and PH. Our results show that disruption of Tbx4 expression during early lung development is sufficient to disrupt postnatal lung development and circulation.

PMID:40106779 | DOI:10.1165/rcmb.2024-0459OC

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Nevin Manimala Statistics

A new marker for predicting sentinel lymph node metastasis in early (cT1-2N0) breast cancer: Tumor-infiltrating lymphocytes (TILs)

PLoS One. 2025 Mar 19;20(3):e0320487. doi: 10.1371/journal.pone.0320487. eCollection 2025.

ABSTRACT

BACKGROUND: Tumor-infiltrating lymphocytes (TILs) are associated with lymph node metastasis and prognosis in breast cancer. Therefore, we explored the value of TILs in predicting sentinel lymph node metastasis (SLNM) in patients with early-stage (cT1-2N0) breast cancer and provided a new method for preoperative assessment of SLNM status.

METHODS: This study included 337 patients with early-stage breast cancer who underwent surgery at our hospital from January 2022 to December 2023. The expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki-67 in the patients was assessed using immunohistochemistry (IHC). TILs in the core needle biopsy samples were evaluated histopathologically, and patients were divided into high and low TILs groups based on the density of TILs. Statistical analysis was conducted, and a predictive model was established.

RESULTS: The study found that patients with high TILs had a significantly lower rate of SLNM compared to those with low TILs (P < 0.001). The cT stage and the level of TILs were identified as independent predictive factors for SLNM. The ROC curve analysis indicated that the density of TILs has good predictive efficacy for SLNM. Based on the results of the multivariate regression analysis, a nomogram predictive model for SLNM was constructed.

CONCLUSIONS: Our study showed that the density of TILs and cT stage are independent predictive factors for SLNM in early-stage (cT1-2N0) breast cancer, and the predictive effect of TILs density on SLNM is significant in Luminal and triple-negative breast cancers.

PMID:40106761 | DOI:10.1371/journal.pone.0320487

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Nevin Manimala Statistics

Increased Incidence of Asteroid Hyalosis in Bilaterial Macular Telangiectasia Type II Patients

Retina. 2025 Mar 10. doi: 10.1097/IAE.0000000000004467. Online ahead of print.

ABSTRACT

PURPOSE: Investigate the relationship between Bilateral Macular Telangiectasia Type II (MacTel) and Asteroid Hyalosis (AH) and identify the factors that influence this correlation.

METHODS: A retrospective review utilizing the Retina Consultants of Alabama database from January 2016 to February 28, 2024 was conducted. The charts of 321 patients with retinal telangiectasias were assessed, and 143 were excluded. They were further partitioned into those with AH+MacTel (n=16) versus MacTel only (n=162). The incidence was determined and compared to population-based AH studies with similar patient demographics. Demographic and ocular data were collected and compared between the AH+MacTel and MacTel only groups.

RESULTS: AH was more prevalent in our MacTel cohort (9.88%) compared to Beaver Dam (1.20%, p<.001), Blue Mountains (1.01%, p<0.001), UCLA Autopsy (1.96%, p<.001), and Gutenberg Health studies (0.477%, p<0.001). An inverse link was found between AH+MacTel patients and posterior vitreous detachments (p<0.045 univariate, p<0.025 multivariate). AH+MacTel patients presented fewer ocular conditions (1.79±1.12) than MacTel only patients (2.31±1.11) and significantly lower OCT Central Subfield Thickness (224±43.0 μm) versus MacTel alone (249±49.6 μm; unadjusted mean difference: -25 μm, 95% CI: -45.3 to -4.76).

CONCLUSION: There was a statistically significantly higher prevalence of patients with AH who also had a diagnosis of MacTel compared to the general population.

PMID:40106717 | DOI:10.1097/IAE.0000000000004467

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Nevin Manimala Statistics

MAFin: Motif Detection in Multiple Alignment Files

Bioinformatics. 2025 Mar 19:btaf125. doi: 10.1093/bioinformatics/btaf125. Online ahead of print.

ABSTRACT

MOTIVATION: Whole Genome and Proteome Alignments, represented by the Multiple Alignment File (MAF) format, have become a standard approach in comparative genomics and proteomics. These often require identifying conserved motifs, which is crucial for understanding functional and evolutionary relationships. However, current approaches lack a direct method for motif detection within MAF files. We present MAFin, a novel tool that enables efficient motif detection and conservation analysis in MAF files to address this gap, streamlining genomic and proteomic research.

RESULTS: We developed MAFin, the first motif detection tool for Multiple Alignment Format files. MAFin enables the multithreaded search of conserved motifs using three approaches: 1) using user-specified k-mers to search the sequences. 2) with regular expressions, in which case one or more patterns are searched, and 3) with predefined Position Weight Matrices. Once the motif has been found, MAFin detects the motif instances and calculates the conservation across the aligned sequences. MAFin also calculates a conservation percentage, which provides information about the conservation levels of each motif across the aligned sequences, based on the number of matches relative to the length of the motif. A set of statistics enables the interpretation of each motif’s conservation level, and the detected motifs are exported in JSON and CSV files for downstream analyses.

AVAILABILITY: MAFin is offered as a Python package under the GPL license as a multi-platform application and is available at: https://github.com/Georgakopoulos-Soares-lab/MAFin.

SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

PMID:40106711 | DOI:10.1093/bioinformatics/btaf125