Use Of Apps Research Articles

Purpose This study aims to investigate the emerging phenomenon of “binge delivery” among digital natives, defined as individuals born between 1997 and 2012, and explore its impact on food-related well-being. Drawing on Uses and Gratifications Theory (UGT) and Veblen’s theory, this research conceptualizes binge delivery as a multidimensional behavioral practice driven by utilitarian, emotional, symbolic and status-related gratifications in the context of phygital online-to-offline (O2O) platforms, such as food delivery apps. Design/methodology/approach This study adopts a qualitative research design to examine binge delivery behaviors among digital natives. Through in-depth exploratory interviews and portrait analysis, it identifies key drivers, characteristics and outcomes associated with food delivery app usage, highlighting the hybrid phygital consumption context enabled by O2O platforms. Findings Results reveal that binge delivery behaviors are influenced by a blend of functional, emotional and symbolic factors that shape digital natives’ food consumption experiences. While binge delivery fosters convenience and gratification, it also introduces vulnerabilities, such as excessive consumption and emotional dependence. This study expands UGT by incorporating phygital ecosystems, illustrating how binge delivery reflects both empowerment and disempowerment in shaping consumer well-being. In addition, Veblen’s theory is applied to highlight conspicuous consumption behaviors within phygital food ordering, emphasizing its role in social positioning and peer-group identity. Research limitations/implications Future research should refine the construct of binge delivery by exploring its addictive dimensions and the impact of socioeconomic and demographic factors. Longitudinal studies are recommended to examine the evolution of binge delivery behaviors as digital natives transition into adulthood. Further research should also assess cross-cultural variations in binge delivery behaviors in the phygital setting, examining how local food cultures and socioeconomic conditions influence adoption patterns. Practical implications Developers and marketers can enhance O2O platforms by incorporating features that balance utilitarian and experiential values, such as gamified rewards or eco-friendly practices. New app features, such as shared carts, group ordering options or augmented reality dining experiences, can foster social bonding and enhance symbolic consumption dynamics. Policymakers are encouraged to promote educational programs and transparency in app usage to mitigate vulnerabilities, including overconsumption and unhealthy dietary habits. Originality/value This study introduces and defines binge delivery as a novel consumption behavior, enriching binging-related literature while addressing its implications for food well-being. By integrating phygital consumption dynamics and expanding UGT into phygital marketplaces, the research provides actionable insights for fostering healthier and sustainable app-based consumption experiences among digital natives.

Background: Patient portals can support cardiovascular disease (CVD) management, but disparities in digital health readiness, especially among older adults, may limit their use. Understanding age-specific digital health readiness gaps is key to promoting equitable engagement. Research Questions: How is digital health readiness associated with patient portal use among US adults with CVD, and how do these associations vary by age group (18–64 vs. ≥65)? Methods: Cross-sectional analysis was done using the 2024 Health Information National Trends Survey 7 among those with self-reported CVD (heart attack, angina, or congestive heart failure) and internet access (used internet on any device). Digital health readiness domains include: 1) digital access (internet satisfaction, smartphone, computer use), 2) digital usage (can use tech alone, social media use), 3) digital literacy (search skills), 4) digital health literacy (looking up health info, messaging providers, app and wearable use), and 5) learnability (tech frustration). The outcome was self-reported patient portal use in the past year (Yes/No). Education was identified as a covariate based on bivariate analysis. Weighted logistic regressions were stratified by age, controlling for education. Results: A total of 644 adults (weighted N, 20.7 million) were included (mean(SD) age: 60(21) years; 66% ≥65 years, and 73% Non-Hispanic White adults). Overall, 70% reported using patient portals in the past year (75% of adults aged 18-64 and 66% of adults aged ≥65). In adults aged 18–64, patient portal use was associated with ability to use tech alone (Adjusted odds ratio [AOR] 5.5, 95%CI: 2.0–15.2), looking up health info (AOR 4.3, 95%CI: 1.1–16.9), messaging providers (AOR 14.6, 95%CI: 4.3–49.4), and health app use (AOR 3.9, 95%CI: 1.1–13.2). For adults aged ≥65 years, patient portal use was associated with computer use (AOR 4.9, 95%CI: 2.3–10.6), satisfaction with internet (AOR 4.7, 95%CI: 1.5–14.6), looking up health info (AOR 4.7, 95%CI: 1.7–11.0), messaging providers (AOR 7.6, 95%CI: 3.0–19.4), and health app use (AOR 3.1, 95%CI: 1.0–9.2). Conclusions: Digital health readiness was associated with patient portal use, but relevant domains differ by age. Adults 18-64 years may benefit from enhancing tech independence and communication features, while adults ≥65 years may require improved access and digital health literacy support. Age-specific interventions are needed to bridge the digital divide in CVD management.

Background: Mobile health applications (apps) offer promising tools for managing chronic conditions like hypertension and diabetes. However, disparities in access and use—often referred to as the digital divide—may limit their benefits for vulnerable populations. Understanding these disparities is essential for developing equitable digital health strategies. Objective: To assess the prevalence and predictors of mobile health app use among U.S. adults with hypertension and/or diabetes and to identify sociodemographic, technological, and health-related disparities using nationally representative data. Methods: Data were drawn from the 2024 Health Information National Trends Survey (HINTS 7), a cross-sectional study of the US adults who are speaking English and Spanish. Adults with self-reported hypertension and/or diabetes (n=3,349) were included. The outcome was self-reported mobile health app use. Independent variables included sociodemographic characteristics, technological access (smartphone ownership, internet use), digital literacy (confidence using devices, frustration with technology, search skills), and health-related factors (chronic conditions, smoking, alcohol use, physical activity, and sleep). Survey-weighted multivariable log-binomial regression was used to estimate adjusted prevalence ratios (RRs) and 95% confidence intervals (CIs). Results: Significant disparities in app use were observed. Adults aged 65–74 (RR=0.70, 95% CI: 0.56–0.88) and 75+ years (RR=0.50, 95% CI: 0.35–0.71) were less likely to use apps than younger adults. Males (RR=0.85, 95% CI: 0.74–0.97) were less likely to use apps than females. Higher income (≥$100,000: RR=1.39, 95% CI: 1.06–1.81) and education (college+: RR=1.42, 95% CI: 1.17–1.73) were associated with greater use. Lack of smartphone (RR=0.42, 95% CI: 0.24–0.75) and never using the internet (RR=0.07, 95% CI: 0.01–0.46) were strong barriers. Lower digital confidence (RR=0.74, 95% CI: 0.56–0.97) and high frustration with technology (RR=0.61, 95% CI: 0.43–0.87) were also associated with reduced use. Health-related factors were not significantly associated with app use. Conclusion: Substantial disparities in mobile health app use persist among U.S. adults with hypertension and/or diabetes, particularly by age, sex, income, education, and digital access. Addressing technological barriers and digital literacy is critical to promoting equitable engagement with digital health tools.

Background: Long-term continuous ambulatory cardiac monitoring (LTCM) is a widely used diagnostic tool for arrhythmia detection, outperforming other modalities. COVID-19 accelerated adoption of home enrollment (HE) for LTCM, which includes mailing devices to patients for self-application and activation, highlighting the need for patient-centered solutions that optimize usability and comfort. HE was recently made available for a next-generation LTCM, which is smaller and lighter than prior designs, with a breathable adhesive, and has demonstrated superior performance. Aims: We assessed wear compliance and ECG signal quality for next generation LTCM devices applied in-clinic by a technician vs. HE. Additionally, we evaluated the impact of a smartphone app on wear compliance and ECG quality. Methods: U.S. adults prescribed the Zio Monitor (iRhythm Technologies, San Francisco, CA) for 14 days between December 2, 2024 - March 16, 2025, were included, corresponding to the initial availability of HE for Zio Monitor. Outcomes compared between in-clinic and HE devices included mean wear time, mean analyzable time (% free from artifact), early wear terminations (≤ 2 days), and actionable arrhythmia yield. Additional analyses evaluated outcomes among patients opting to use a smartphone app (MyZio), which provides onboarding, digitized instructions, and reminders for wear and return, vs. those who did not. Results: Of 304,735 LTCM devices worn, 276,142 (91.6%) were applied in-clinic and 28,593 (9.4%) were HE. Mean age was 61.5±17.9 years; 56.0% were female. App use was higher in the HE group (54% vs 17%, p < 0.0001). Mean wear time and % analyzable time were high and comparable for in-clinic and HE. Early wear terminations were infrequent in both groups and arrhythmia yield was comparable. App use was associated with lower % of early wear terminations and greater analyzable time in both groups (Table). Among prescribed devices, return compliance (activated, worn and returned ≤ 45 days) was higher in app users for both in-clinic (96.0% vs. 93.2%) and HE (90.4% vs. 71.1%) devices. Conclusion: Wear compliance and percent analyzable time for a next-generation LTCM were high and comparable when applied in-clinic by a technician vs. HE, indicating that HE achieves comparable arrhythmia detection while eliminating in-clinic visits and reducing provider burden. Patient apps as medical device adjuncts may further improve enrollment and compliance with home-based or ambulatory diagnostics.

The rapid advancement of mobile technology has revolutionised both communication and marketing strategies. However, while the use of mobile apps has exponentially grown, the use of traditional marketing tools such as push SMS messaging to promote digital engagement is pervasive within the telecommunication industry. This study empirically investigates this paradox, i.e., the use of traditional SMS marketing by telecommunication service providers in engaging with Mobile app users. The study also explores the mediating role of attitude towards SMS, exploring how perceptions of traditional marketing tools such as SMS notices influence more digitally savvy consumer engagement. Employing a positivist research approach, the study solicits evidence from 379 participants who extensively use mobile apps. The data collected was analysed using regression and correlation analysis. The findings of the study highlight a positive relationship between SMS marketing and digital engagement within the telecommunication industry. Moreover, the findings also suggest that this use of traditional marketing tools in advanced technological settings is heavily influenced by the attitudes of consumers towards such traditional marketing tools. These findings shed better light on the paradoxical relationship between modern technological developments and the use of traditional marketing tools to promote their usage, thus giving better insights to both academics and practitioners.

Smartphone intervention apps for schizophrenia: A review of the academic literature and app stores.

An approach for assessing usability and accessibility of assistive technology for persons with disabilities.

The articles in this special issue are a good representation of the current state of passive sensing research, illustrating both its potential and significant challenges. These articles span multiple areas of sensing, including behaviors in the real world (e.g., global positioning system [GPS], actigraphy, and spoken language), online behaviors (e.g., app use and texting), behaviors that straddle the real world and online (e.g., phone use, text messages, and keystrokes), and psychophysiological states. As noted in the editors' introduction, the consistency of findings in both Filip's metaanalysis (Filip et al., 2025) and other systematic analyses (De Angel et al., 2022) indicates something is "there." But effect sizes remain stubbornly in the small to at best medium range. Small effect sizes are perhaps unsurprising. Passive sensing provides objective behavioral and physiological data, while clinical targets typically rely on subjective symptom ratings. Objective and subject measurements of the "same" constructs use inherently different vantage points and tend to show only modest correlations (e.g., the modest correlations between objective neuropsychological tests and self-reported cognitive symptoms). In this commentary, the author discusses a few reasons for these limited effect sizes and potential uses for passive sensing. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Dating applications have become increasingly popular platforms for meeting romantic partners, but their association with sexually transmitted infections (STIs) remains a topic of concern. To study the prevalence of the use of dating apps among patients with STIs and analyze the behavioral patterns and sexual practices in this group. This was a cross-sectional survey of 32 questions assessing dating app usage, sexual behaviors, and STI diagnoses in patients attending the STI clinic. We interviewed 150 patients with STIs and divided them into two groups: group A (those who used dating apps; 49/150, 32.6%) and Group B (those who did not; 101/150, 67.4%). The mean age of group A was significantly lower (27.31 ± 7.11 years vs. 32.16 ± 9.4; P < 0.001). Male gender was predominant in both group A (45/49, 91.8%) and group B (66/101, 65.3%). Group A reported earlier sexual debut (19.9 ± 3.4 years vs 21.72 ± 2.5 years; P < .001), were more likely to be single (65.3% vs 26.7%; P < 0.001, Odds ratio: 6.2), and had multiple sexual partners (group A: offline: 4 partners; online: 11 partners vs. group B: 2 partners). Additionally, group A was more likely to be homosexual (20.4% vs 3%; P < .001) or bisexual (28.6% vs 2%; P < .001) and had a higher prevalence of human immunodeficiency virus coinfection (18% vs 6.9%; P = 0.03, Odds ratio: 3.02). Cross-sectional design, single center study and self report reporting of dating app use and sexual behavior. Dating app usage was associated with younger age, male gender, and increased STI risk behaviors (earlier sexual debut, higher partner number, and homosexual or bisexual).

The proliferation of digital technology in educational settings has made educational apps a common tool for enhancing learning. However, the pedagogical context in which these apps are used, specifically the role of the teacher, remains a critical but underexplored factor. This desktop research study synthesizes existing literature to compare the effectiveness of teacher-guided versus self-directed use of educational apps on children's digital literacy and broader learning outcomes. Findings indicate that while self-directed app use can foster exploration and initial engagement, it often leads to superficial interaction and limited cognitive gains. In contrast, teacher-guided app use, characterized by structured integration into lesson plans, scaffolding, and metacognitive support, is significantly more effective in promoting deeper conceptual understanding, critical thinking, and the transfer of skills. The analysis reveals that digital literacy is best developed not merely through app usage, but through guided reflection on the digital experience itself. The study concludes that the efficacy of an educational app is profoundly mediated by the pedagogical framework surrounding its use. Recommendations are provided for educators, app developers, and policymakers to optimize the integration of digital tools in classrooms by prioritizing guided, purposeful instruction over unstructured screen time.

BackgroundMobile health (mHealth) apps enhance clinical nursing by improving access to resources and patient care. Further benefits include reduced errors, time savings, better communication, cost reduction, and training. Understanding factors driving nurses’ continued mHealth adoption is key to its sustained success.ObjectiveThis study extends the expectation-confirmation model (ECM) to explore the determinants of Iranian nurses’ continuance intention to use mHealth apps in their daily clinical routines.MethodsA cross-sectional, descriptive-analytical study was conducted among 315 nurses from hospitals affiliated with Kashan University of Medical Sciences. The Nurses’ Mobile Health Device Acceptance Scale (NMHDA-Scale) was developed by the authors in 2022. The Intention to Continue Using Mobile Health Applications for Nurses questionnaire assesses nurses’ future willingness to use mHealth apps in their practice. This questionnaire was designed based on the ECM and the approach by Waltz et al. Its primary aim is to identify the factors that influence mHealth device acceptance, specifically among clinical nurses, as previous studies have not focused on this group and have shown inconsistent relationships between various factors. Participants completed structured questionnaires measuring perceived usefulness, perceived ease of use, social influence, habits, and technology anxiety. Data were analyzed using structural equation modeling in AMOS (version 26). The model tested relationships among confirmation, perceived usefulness, social influence, technology anxiety, and mHealth continuance behavior.ResultsThe analyzed sample (n=315) consisted primarily of female (252/315, 80%) and married (243/315, 77.1%) nurses, with a mean age of 35.67 (SD 1.24) years. The analysis revealed that perceived usefulness was significantly influenced by both confirmation (P<.001) and social influence (P<.001). Perceived ease of use was negatively impacted by new technology anxiety (P<.001), indicating that higher anxiety levels reduced perceived ease of use. Additionally, mHealth continuance behavior was positively associated with habits (P=.002), social influence (P<.001), and perceived security risks (P=.008). Contrary to expectations, perceived usefulness did not directly influence mHealth continuance (P=.15), suggesting that other factors, such as habits and social influence, play a more significant role in long-term use.ConclusionsSustained mHealth app use by nurses hinges more on social influence and confirmed expectations than perceived usefulness. Although new technology anxiety remains a barrier, habits and social influence are key to long-term adoption. Hospital leaders should prioritize strategies that foster positive social reinforcement, minimize security concerns, and reduce anxiety through training and support when integrating mHealth into nursing workflows. These findings offer critical insights for improving digital health implementation, ultimately enhancing patient care and clinical efficiency.

A large proportion of college students report experiencing psychological distress. Smartphone app-based interventions may alleviate distress, but their effectiveness across severity levels is unclear. Artificial intelligence (AI)-enhanced response-adaptive randomized clinical trials may offer an efficient method to evaluate competing interventions. To compare the effectiveness of 3 brief, 2-week self-guided smartphone application-based interventions (physical activity, mindfulness, sleep hygiene) or an active control (ecological momentary assessment [EMA]) for reducing psychological distress among college students with mild, moderate, or severe distress. This population-based AI-enhanced response-adaptive randomized clinical trial included 1282 participants with distress scores of 20 or more on the 10-item Kessler Psychological Distress Scale in 12 minitrials from November 9, 2021, with final follow-up on February 17, 2023. Participants' distress was categorized as mild, moderate, or severe based on their normalized 21-item Depression Anxiety Stress Scale (DASS-21) scores at screening. After a 2-week onboarding period of daily EMA, participants were assigned by a contextual multi-armed bandit algorithm to 1 of 4 two-week self-guided app interventions: physical activity, mindfulness, sleep hygiene, or a control that continued EMA. The primary outcome was change in psychological distress (DASS-21 total score) from week 2 (before intervention) to week 4 (after intervention). The primary end point was after the intervention (4 weeks). Secondary outcomes included DASS-21 subscale scores, self-reported physical activity, mindfulness, sleep quality, and app engagement, usability, and satisfaction. Analysis was performed on an intention-to-treat basis. A total of 1282 individuals (mean [SD] age, 23.5 [5.2] years; 950 women [74.1%]) participated: physical activity (n = 305), mindfulness (n = 453), sleep hygiene (n = 431), or a control that continued EMA (n = 93). Among 349 participants with severe distress, physical activity (n = 79) and mindfulness (n = 180) were significantly more effective than the EMA control (n = 29) in reducing DASS-21 total scores (physical activity vs control: standardized mean difference [SMD], 0.62 [95% CI, 0.23-1.02]; mindfulness vs control: SMD, 0.53 [95% CI, 0.19-0.87]) and sleep hygiene (n = 61) (physical activity vs sleep hygiene: SMD, 0.50 [95% CI, 0.16-0.84]; mindfulness vs sleep hygiene: SMD, 0.41 [95% CI, 0.13-0.69]). Among 494 participants with mild distress, physical activity (n = 161) and sleep hygiene (n = 224) were significantly more effective than control (n = 37) in reducing DASS-21 total scores (physical activity vs control: SMD, 0.58 [95% CI, 0.30-0.86]; sleep hygiene vs control: SMD, 0.47 [95% CI, 0.20-0.73]). No significant group differences were observed among participants with moderate distress (n = 439). In this AI-enhanced response-adaptive randomized clinical trial among college students, physical activity and mindfulness were most effective for severe distress, while physical activity and sleep hygiene were most effective for mild distress. These findings can guide personalized mental health interventions for college students. This trial improved efficiency by minimizing control group allocation but had reduced power to detect significant group differences. http://anzctr.org.au Identifier: ACTRN12621001223820.

This study examines Black-White disparities in Internet and smart device usage among older informal caregivers. Using pooled data from the 2017-2020 Health Information National Trends Survey (N = 1,005, aged 50+), we employed logistic regression to assess racial disparities in Internet use, social media engagement, and smart device ownership. Among smart device owners, we further examined different health-related app usage. Older black caregivers were significantly less likely than White caregivers to use the Internet (OR = 0.23, 95% CI = [0.11, 0.46]). However, among smart device owners, Black caregivers were more likely to use apps for health-related goals (OR = 2.42, 95% CI = [1.42, 4.12]) and decision-making (OR = 1.87, 95% CI = [1.11, 3.15]). Despite lower Internet access, Black caregivers demonstrate high engagement with digital health tools when access is available. Bridging the digital divide in underserved communities may improve equity and expand support for older caregivers.

In oncological rehabilitation, physical activity therapy takes up a significant part of therapy time. With the aim of maintaining physical activity in the long term, a rehabilitation aftercare program for female breast cancer patients was implemented through the use of a rehabilitation aftercare app (ReNaApp) and evaluated with focus on acceptance, feasibility and optimization potential.The qualitative research was conducted as part of a quasi-randomized longitudinal study in a mixed-methods design. The database consists of guided interviews with breast cancer rehabilitants in the intervention group and a focus group with the rehabilitation team engaged in the realization of the aftercare intervention. The rehabilitants were interviewed 3,6 and 9 months after rehabilitation and the focus group was conducted after recruitment was completed. The data material was analyzed according to Mayring's qualitative content analysis.19 interviews were conducted with seven rehabilitants (Ø 47 years). Eight employees (87.5% female) took part in the focus group, most of whom were medical staff (N=5). The rehabilitation employees reported successful implementation of the intervention. Adapting the practical realization to the clinic's routines, the involvement of several professions and informing the entire rehabilitation team about the study were all considered successful factors. However, the staff also encountered hurdles, including staff shortages and the digital infrastructure. The rehabilitants rated the ReNaApp positively in terms of their satisfaction, usability and the perceived support provided by the application. In addition to the active app users, some respondents indicated that they do not use the ReNaApp because they are physically inactive or do not need support.The feasibility of the aftercare program was confirmed by the rehab team, but the target group should be specified in order to recommend the aftercare offer according to existing needs. In addition to increasing adherence to the program, the limited time and personnel resources can be used in a targeted manner.

Chronic inflammatory diseases such as psoriasis (PsO) and psoriatic arthritis (PsA) are associated with ahigh disease burden and significant healthcare needs. Given limited specialist resources, the use of medical health apps is increasingly coming into focus as ameans of supporting patients in self-management and closing gaps in care. This review highlights digital health applications available in Germany for PsO and PsA. Their functions, objectives, and potential benefits in the context of care are analysed. Six relevant apps were identified based on asystematic literature review and astructured search of the popular app stores. None of the applications are currently approved as digital health applications (German: DiGA). The apps differ in terms of their target groups, range of functions, and scientific evidence. While some primarily deal with dermatological aspects (e.g., Sorea, Psoriasis Monitor), others focus more on rheumatological issues (e.g., Mida Rheuma App, Rheuma-Auszeit). The range is supplemented by educational apps (e.g., PSO Kiosk) and therapy-accompanying apps (e.g., MyTherapy). Such digital apps can promote understanding of the disease, contribute to improving therapy adherence and have apositive effect on mental well-being, especially in patients with PsO and PsA, who often experience stress and mental comorbidities. Even though no app has yet achieved DiGA status, individual applications can be auseful addition to care.

In recent years, mobile fitness applications have emerged as accessible tools that support physical activity and health behavior change. This study aimed to determine the relationship between exposure to physical fitness mobile applications and the motivation of student-athletes to maintain a healthy lifestyle. A descriptive-correlational research design was employed, involving 86 student-athletes from Batangas State University The National Engineering University, JPLPC-Malvar Campus, during the academic year 2024–2025. Data were collected through a validated questionnaire assessing both app usage and motivation (intrinsic and extrinsic), complemented by physical fitness observations. Descriptive statistics and Pearson's correlation coefficient were used to analyze the data. Results showed that the respondents were moderately exposed to fitness mobile applications (M = 3.10), and exhibited high levels of intrinsic (M = 3.81) and moderate extrinsic (M = 3.38) motivation. A statistically significant and strong positive relationship (r = 0.614, p = 0.000) was found between app exposure and motivation. The findings suggest that increased engagement with fitness apps contributes to higher motivation for adopting and maintaining a healthy lifestyle. The study highlights the value of integrating mobile fitness technology into athletic training and wellness programs to reinforce motivation and health behaviors among student-athletes.

The increasing availability of educational mobile applications has significantly influenced learning experiences (Al Emran, 2024), especially for students in engineering disciplines. To optimise the use of such technologies in academic contexts, it is important to understand how learners engage with these tools and the behavioural factors that shape their usage. This study examines educational app adoption among Indian engineering students, focusing on usage habits, perceived usefulness, and possible signs of overuse. A quantitative online survey was administered to collect demographic information and responses to established measurement scales, including the Technology Acceptance Model (TAM) (Davis, 1989) (Young, 1998), Internet Addiction Test (IAT) (Davis, 1989) (Young, 1998), and a culturally adapted stress scale. The dataset was analysed using Cronbach’s alpha for reliability testing, along with correlation and group comparison analyses. The results indicate good internal consistency for TAM and the Indian Context scales (α = 0.75 and 0.80) and moderate reliability for the IAT (α = 0.33). No significant associations were observed between app usage time and other scale scores, and demographic factors such as gender and year of study showed no meaningful differences. These findings suggest that while students display moderate acceptance of educational apps, their usage remains largely healthy and non-addictive. Nonetheless, cultural and infrastructural constraints continue to influence engagement levels, offering insights for educators and developers seeking to enhance technology-supported learning.

Background In Nepal, sexual relationships outside of the traditional arranged marital system are increasingly common. Despite the availability of modern sexual health care, research on how to effectively deliver sexual health services to unmarried young adults in Nepal is limited. Objective This study examined key theoretical correlates between Andersen's Behavioral Model of Health Service Use and actual sexual health service use among unmarried young adults (aged 18 to 25) in Kathmandu, Nepal. Methods Unmarried young adults between 18 and 25 were recruited from colleges and universities in the Kathmandu area. A total of 110 women and 93 men completed the survey ( n = 203). Using a cross-sectional correlational design, the analysis involved descriptive statistics, bivariate analysis, and logistic regression. Findings and conclusions Approximately 37% of participants reported engaging in sexual intercourse, with 55.7% reporting condom use during most recent intercourse. Less than half (39.1%) were aware of available sexual health services, and less than one-third (26.6%) were aware of Human Papillomavirus (HPV). Over a third of participants (40.9%) reported experiencing unwanted sexual contact, and 5.9% had a history of forced sexual intercourse. The actual reported sexual health service use within the past 12 months was 13.9%. Logistic regression analyses showed higher perceived youth friendliness of the health system (OR: 1.19; CI: 1.01–1.39; p &amp;lt; .05), sexual attraction to the same or both sexes (OR: 2.91; 95%; CI: 1.54–5.50; p &amp;lt; .01), higher perceived sexual risk (OR: 1.33; 95%; CI: 1.11–1.59; p &amp;lt; .01), as well as prior health awareness and behaviors (e.g., cigarette consumption, dating app use), were statistically significant correlates of sexual health service use. These findings indicate a need for further research to understand the experiences of Nepalese young adults with sexual healthcare and essential elements of youth-friendly health systems.

Patient falls are an important public health issue, preventable by nurses through risk assessment and education. Here, we conduct a pilot study aimed at improving fall prevention knowledge and attitudes, and decreasing patient falls through use of a spaced-retrieval mobile app. We collected baseline patient fall rates and Fall TIPS (Tailoring Interventions for Patient Safety) poster completion rates in 64 patient rooms and baseline self-report ratings of self-efficacy and attitudes (including self-efficacy for preventing patient falls, perceived safety climate and performance, perceived support, and job dedication) from nursing staff participants. Fifteen participants then used a spaced-retrieval app for 6 weeks (2-3min/workday) to retrain fall prevention knowledge. After this, we again collected Fall TIPS poster completion rates, self-reported ratings, and patient fall rates. Knowledge of fall prevention strategies, self-efficacy, perceived safety performance, perceived support, and Fall TIPS poster completion rates improved significantly from pre-to-post app use. We found no differences in the other attitudinal measures or patient falls. These findings suggest that engaging in spaced review of fall prevention protocols may yield short-term improvements in fall prevention knowledge, self-efficacy, and Fall TIPS poster completion rates while requiring minimal time.

The use of Islamic mobile banking apps is still not optimal, even though people’s interest in digital finance is growing. This study examines how social influence, enjoyment (hedonic motivation), and user habits shape people’s intention to use these apps, and how that intention affects actual usage. It also tests whether word of mouth (WOM) strengthens the link between intention and behavior. Using a quantitative approach, the study surveyed 105 active BYOND BSI users in Padang City through purposive sampling. Data were analyzed with the PLS-SEM method using SmartPLS 4.0 and bootstrapping with 5,000 samples to ensure reliable results. The findings show that enjoyment and habit strongly affect intention, and intention significantly impacts actual use. However, social influence has no significant effect on intention, and WOM does not moderate the relationship between intention and use. Moreover, intention mediates the effects of enjoyment and habit on use but not that of social influence. Overall, the results highlight that users’ positive experiences and consistent habits are key drivers behind their intention and actual use of Islamic mobile banking services.