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BACKGROUND: The existing literature has limited detail on theory-driven interventions, particularly in pain studies. We adapted Banduras self-efficacy framework toward a theory-driven, non-pharmacological intervention using auricular point acupressure (APA) and evaluated participants perceptions of this intervention on their pain self-management. APA is a non-invasive modality based on auricular acupuncture principles. METHODS: We mapped our study intervention components according to Banduras key sources of self-efficacy (performance accomplishments, vicarious experience, verbal persuasion, and emotional arousal) to facilitate the self-management of pain. Through a qualitative study design, we conducted virtual interviews at one and three months after a 4-week APA intervention among 23 participants using purposive sampling to describe their experiences in managing their pain based on our theory-driven APA intervention. RESULTS: Using thematic analyses, we found four themes: the enhanced self-management of pain, improved pain outcomes, the feasibility of technology, and the sustainability of APA. CONCLUSIONS: Describing how interventions are mapped according to the elements of theoretical frameworks can help to guide intervention development, advance science and knowledge development, and promote the implementation of interventions. As such, using Banduras self-efficacy theory as a foundation for the APA intervention, APA was found to be feasible and sustainable, improving self-management, pain intensity, and pain-related outcomes. Participants provided recommendations for the further improvement of this theory-driven intervention.

AIM: This paper describes the trajectory during 1 year of four patient-reported outcomes (PROs), namely, sleep, depressive symptoms, health-related quality of life (HrQoL), and well-being, in patients with heart failure (HF), their relationship and the patient characteristics associated with changes in these PROs. METHODS AND RESULTS: Data analyses of PROs from 603 patients (mean age 67 years; 29% female, 60% NYHA II) enrolled in the HF-Wii study. On short term, between baseline and 3 months, 16% of the patients experienced continuing poor sleep, 11% had sustained depressive symptoms, 13% had consistent poor HrQoL, and 13% consistent poor well-being. Across the entire 1-year period only 21% of the patients had good PRO scores at all timepoints (baseline, 3, 6, and 12 months). All others had at least one low score in any of the PROs at some timepoint during the study. Over the 12 months, 17% had consistently poor sleep, 17% had sustained symptoms of depression, 15% consistently rated a poor HrQoL, and 13% poor well-being. Different patient characteristics per PRO were associated with a poor outcomes across the 12 months. Age, education, New York Heart Association, and length of disease were related to two PRO domains and submaximal exercise capacity (6 min test), co-morbidity, and poor physical activity to one. CONCLUSION: In total, 79% of the patients with HF encountered problems related to sleep, depressive symptoms, HrQoL, and well-being at least once during a 1-year period. This underscores the need for continuous monitoring and follow-up of patients with HF and the need for dynamic adjustments in treatment and care regularly throughout the HF trajectory.

AIMS: To describe sources of health information and health-seeking behaviours of adults (aged ≥18) living in medically underserved communities in the Philippines. DESIGN: This is a secondary, quantitative analysis from a cross-sectional parent study. Participants completed a 10-item, self-report survey on their sources of health information, healthcare providers sought for health and wellness and health-seeking behaviours when ill. Responses were evaluated across two age groups (

This article is a theoretical discourse about technological machines and artificial intelligence, highlighting their effective interactive outcomes in nursing. One significant influence is technological efficiency which positively affects nursing care time, enabling nurses to focus more on their patients as the core of nursing. The article examines the impact of technology and artificial intelligence on nursing practice in this era of rapid technological advancements and technological dependence. Strategic opportunities in nursing are advanced, exemplified by robotics technology and artificial intelligence. A survey of recent literature focused on what is known about the influence of technology, healthcare robotics, and artificial intelligence on nursing in the contexts of industrialization, societal milieu, and human living environments. Efficient, precision-driven machines with artificial intelligence support a technology-centered society in which hospitals and healthcare systems become increasingly technology-dependent, impacting healthcare quality and patient care satisfaction. As a result, higher levels of knowledge, intelligence, and recognition of technologies and artificial intelligence are required for nurses to render quality nursing care. Designers of health facilities should be particularly aware of nursings increasing dependence on technological advancements in their practice.

BACKGROUND: The Philippines primary care is delivered via local health centers called barangay health centers (BHCs). Barangays are the most local government units in the Philippines. Designed to promote and prevent disease via basic health care, these BHCs are staffed mainly by barangay health workers (BHWs). However, there has been limited research on the social and environmental factors affecting underserved communities access to health care in underserved areas of the Philippines. Given the importance of BHCs in disease prevention and health promotion, it is necessary to identify obstacles to providing their services and initiatives. OBJECTIVE: This study aimed to explore multilevel barriers to accessing and providing basic health care in BHCs. METHODS: We used a qualitative approach and the socioecological model as a framework to investigate the multilevel barriers affecting basic health care provision. A total of 18 BHWs from 6 BHCs nationwide participated in focus group interviews. Traditional thematic content analysis was used to analyze the focus group data. After that, we conducted individual semistructured interviews with 4 public health nurses who supervised the BHWs to confirm findings from focus groups as a data source triangulation. The final stage of thematic analysis was conducted using the socioecological model as the framework. RESULTS: Findings revealed various barriers at the individual (lack of staff motivation and misperceptions of health care needs), interpersonal (lack of training, unprofessional behaviors, and lack of communication), institutional (lack of human resources for health, lack of accountability of staff, unrealistic expectations, and lack of physical space or supplies), community (lack of community support, lack of availability of appropriate resources, and belief in traditional healers), and policy (lack of uniformity in policies and resources and lack of a functional infrastructure) levels. CONCLUSIONS: Examining individual-, interpersonal-, institutional-, community-, and policy-level determinants that affect BHCs can inform community-based health promotion interventions for the countrys underserved communities. Given the multidimensional barriers identified, a comprehensive program must be developed and implemented in collaboration with health care providers, community leaders, local and regional health care department representatives, and policy makers.

IntroductionMany Asian immigrants, including Filipino Americans (FilAms), experience psychological distress (PD) due to the challenges in adjusting to their new country and culture. This descriptive comparative study aimed to compare FilAms and Filipinos concerning their levels of PD, sources of stress, and use of health-promotion strategies.MethodsData from 89 FilAms and 95 Filipinos living in urban cities, obtained from the I-HELP-FILIPINOS database, measuring cardiometabolic risks, mental health, and environmental stressors in 2017, including PD, were examined.ResultsThe mean age of all participants (N = 184) was 44.2 ± 22.8 years old. Both groups rated their health as good to excellent, although Filipinos were significantly more likely to be distressed (p < .001). Filipinos were also more likely to ascribe stress to employment (48.3% vs. 68.2%, p =.006) and finances (28.1% vs. 52.6%, p

BACKGROUND: Occupational stress is a phenomenon affecting people worldwide. Investigating occupational stress among immigrant worker populations will unravel some of the intricacies of this condition and its psychological effects on this population. AIM: This paper conceptually examined occupational stress within the context of immigrant workers mental health and offer an operational definition to aid nurse researchers, educators, and practitioners in assessing and managing patients and developing culturally appropriate interventions for this population. DESIGN: Walker and Avants eight-step concept analysis is used as an organizing framework. DATA SOURCE: MEDLINE, CINAHL, OVID, PubMed, and APA Psych Info. REVIEW METHODS: Keywords job stress, immigrant work stress, occupational stress scale, immigrant work-related stress, and mental health were used. The search yielded 142 articles; 17 were selected based on the effect of work stress on mental health. RESULTS: This analysis found that occupational stress can be attributed to communication problems, alienation, discrimination, and barriers to work-life balance can cause negative consequences among immigrants. An operational definition is also provided. CONCLUSION: There is a growing need to examine closely and differentiate between occupational and acculturative stress to navigate a more profound understanding of how these conditions negatively complement each other.

BackgroundMedication nonadherence is a critical problem with severe implications in individuals at risk for atherosclerotic cardiovascular disease. Many studies have attempted to predict medication adherence in this population, but few, if any, have been effective in prediction, sug-gesting that essential risk factors remain unidentified.ObjectiveThis study's objective was to (1) establish an accurate prediction model of medi-cation adherence in individuals at risk for atherosclerotic cardiovascular disease and (2) identify significant contributing factors to the predictive accuracy of medication adherence. In particular, we aimed to use only the baseline questionnaire data to assess medication adherence prediction feasibility.MethodsA sample of 40 individuals at risk for atherosclerotic cardiovascular disease was recruited for an eight-week feasibility study. After collecting baseline data, we recorded data from a pillbox that sent events to a cloud-based server. Health measures and medication use events were analyzed using machine learning algorithms to identify variables that best predict medication adherence.ResultsOur adherence prediction model, based on only the ten most relevant variables, achieved an average error rate of 12.9%. Medication adherence was closely correlated with being encouraged to play an active role in their treatment, having confidence about what to do in an emergency, knowledge about their medications, and having a special person in their life.ConclusionsOur results showed the significance of clinical and psychosocial factors for predicting medication adherence in people at risk for atherosclerotic cardiovascular diseases. Clini-cians and researchers can use these factors to stratify individuals to make evidence-based decisions to reduce the risks.

BackgroundFew investigators have explored challenges and facilitators to exergaming, essential factors to exergaming adherence, among patients with heart failure.ObjectivesIn this qualitative study, we explored facilitators and challenges using a home-based exergame platform, the Nintendo Wii Sports, in patients with heart failure.MethodsSemistructured face-to-face interviews were conducted in 13 participants given a diagnosis of heart failure (age range, 34-69 years). Participants were asked about their experiences with exergaming. Transcribed interviews were analyzed with content analysis.ResultsThe following 4 facilitators were identified: (1) enjoyment and competition motivated gaming, (2) accessibility at home gave freedom and lowered participants' barriers to exercise, (3) physical benefits when decreasing sedentary lifestyle, and (4) psychosocial benefits on stress, mood, and family interactions. Challenges included (1) diminished engagement over time due to boredom playing similar games and (2) frustrations due to game difficulty and lack of improvement.ConclusionExergaming can increase individuals' physical activity because of easy accessibility and the fun and motivating factors the games offer. Participants initially found exergaming enjoyable and challenging. However, engagement diminished over time because of boredom from playing the same games for a period of time. Participants' preferences and capacities, participants' past experiences, and social support must be considered to avoid boredom and frustrations. Future studies are warranted to determine adherence to exergaming among patients with heart failure and, ultimately, increased overall well-being and healthcare delivery in this patient population.

IntroductionStudies have reported higher infection and mortality rates from coronavirus disease 2019 (COVID-19) for disadvantaged groups in the U.S. population. However, racial and ethnic differences in fatality rates, which measure deaths among those infected, are not as clear.ObjectivesThe objectives were to (1) estimate the fatality rate after COVID-19 infection by racial and ethnic groups and (2) determine the extent preexisting health conditions account for differences in fatality rate between the racial and ethnic groups.MethodsData for all adults aged 18 and older (n = 24,834) who had a confirmed COVID-19 infection captured in the electronic health records (EHRs) of a major health care organization (HCO) from the beginning of the pandemic to March 28, 2021 were used to estimate the fatality rates for three racial and ethnic groups: Hispanic, non-Hispanic African American, and non-Hispanic White. Elixhauser's comorbidity index was calculated using the enhanced ICD-9-CM and the ICD-10 diagnosis codes. Logistic regression models were used to compare differences in fatality between racial and ethnic groups. Odds ratios and 95% confidence intervals were reported for all models.ResultsThe age-specific fatality rates non-Hispanic White, non-Hispanic African American, and Hispanic groups were 0.23%, 1.05%, 0.55% for age group 18-59 years old; 2.44%, 4.50%, 5.28% for 60-69; 5.42%, 10.11%, 8.49% for 70-79, and 17.33%, 20.79%, 20.39% for 80-90. After adjusting for age, sex, and preexisting conditions, the fatality risk remains significantly higher for non-Hispanic African American (adjusted odds ratio [adj. OR] = 1.85, 95% CI 1.41-2.44) and Hispanic individuals (adj. OR = 1.91, 95% CI = 1.53-2.39) compared to non-Hispanic White individuals.ConclusionHispanic and non-Hispanic African American individuals have a higher risk of fatality from COVID-19 compared to non-Hispanic White individuals. The higher risk remains after adjusting for sex, age, and preexisting conditions. Health care providers could help to increase vaccination rates in these vulnerable populations by addressing the social and cultural barriers with their patients.

Introduction: We used an implementation science framework to investigate perceived health inequities in preventive health care initiatives in rural communities in the Philippines. We also identified health equity–focused quality improvement strategies. Methods: Three health care providers and 12 barangay clinic patients were interviewed. Results: Patient interviews showed that social determinants of health, respect, and attitudes toward health care providers affected patient empowerment to engage in self-management for noncommunicable diseases (NCDs). Health care providers identified six challenges in managing NCDs: (a) inefficient work processes; (b) staffing shortages; (c) insufficient access to low-cost medications; (d) inadequate primary preventive health education from the schools; (e) health care not considered a priority; and (f) lack of local government support. Discussion: Inadequate preventive health care and education intensify health access and resource inequities in rural communities in the Philippines. A multi-sectoral plan may improve rural health infrastructure and education toward improving health care access and decreasing care disparities. [ABSTRACT FROM AUTHOR]

Background: Worldwide trends in health risks, lifestyle behaviors, health perceptions, and health-seeking patterns suggest alarming disparities among individuals from low- and middle-income countries. Such international comparisons are particularly troubling for older individuals (= 60 years). Objectives: This study aims to compare health risks, lifestyle behaviors, health perceptions, and health-seeking patterns between younger (<60) and older (=60) Filipinos from rural communities in the Philippines. Methods: A comparative cross-sectional study was employed with 863 younger and 427 older Filipinos. Data were analyzed using frequencies, chi-squares, and T-tests. Results: Older participants were more likely to be single/widowed, = high school education and had higher rates of hypertension, high cholesterol, diabetes, and depression. They reported poorer health status and went to the village health center when sick. Furthermore, they were less likely to drink alcohol and see a physician. Conclusion: There were significant differences in modifiable health risks and lifestyle behaviors and differences in health perceptions between younger and older cohorts of Filipinos living in rural areas in the Philippines. Our findings suggest the need to design separate health promotion interventions that target older and younger Filipinos' unique needs from rural communities. [ABSTRACT FROM AUTHOR]

The article presents the discussion on increasing the possibility of unfavourable outcomes potentially increased morbidity and mortality. Topics include cardiovascular disease (CVD) being a chronic disease affecting people of all races and ethnicities worldwide in terms of morbidity and mortality; and supporting public health research and the development of interventions for health promotion and well-being.

Aims: This study aimed to determine the effect of a multi-component mHealth intervention on patient activation and examine its predictors among older adults at risk of cardiovascular disease (CVD)., Methods and Results: This pilot randomized controlled trial compared two groups: Get FIT (control), who received healthy lifestyle counselling from a licensed health coach, a mHealth app (MyFitnessPal) with push alerts, and an activity tracker, and Get FIT + (intervention), who received the same interventions and had personalized text messages with 3- and 6-month follow-up periods. Patient activation was measured using the 13-item Patient Activation Measure; higher scores indicated better activation. Linear mixed-effects models were used to investigate between-group changes in outcomes across time. The participants' (n = 54) mean age was 65.4 ± 6.0 years; 61% were female; and 61% were married. Baseline characteristics were comparable between groups. Significant improvements in mean patient activation scores were observed in the Get FIT + group at 3 months [mean 3.53 points, 95% confidence interval (CI) 0.11, 6.96; P = 0.043] and 6 months (mean 4.37 points, 95% CI 0.91, 7.83; P = 0.014), whereas improvements in the Get FIT group were non-significant. Adjusting for age, gender, education, employment, marital status, social support, smartphone confidence, and self-perceived health, we found that only social support was associated with higher patient activation overall (B = 5.14, 95% CI 1.00, 9.27; P = 0.015)., Conclusion: The findings indicate that personalized text messaging can improve the self-care of older adults at risk of CVD. Findings also emphasize the importance of social support in the success of mHealth interventions for older adults., Registration: The study is registered in ClinicalTrials.gov (NCT03720327)., Competing Interests: Conflict of interest: none declared., (© The Author(s) 2025. Published by Oxford University Press on behalf of the European Society of Cardiology.)