The influence of preparedness, mutuality, and self-efficacy on home care workers' contribution to self-care in heart failure : A structural equation modeling analysis

Background Home care workers (HCWs) are increasingly caring for patients with heart failure (HF). Previous studies have shown that they contribute to HF patients' care, but how their preparedness and their relationship with patients (mutuality) influence caregiving is unknown, as well as the role of HCWs' self-efficacy. Objective Guided by the Situation-Specific Theory of Caregiver Contribution to HF Self-Care, we investigated the influence of HCWs' preparedness and mutuality on HCWs' contribution to HF self-care and the mediating effect of HCWs' self-efficacy in the process. Methods We conducted a cross-sectional survey of HCWs who cared for patients with HF. The survey included the Caregiver Preparedness Scale, Mutuality Scale, Caregiver Contribution to Self-Care of HF Index, and Caregiver Self-Efficacy in Contributing to Self-Care Scale. We performed structural equation modeling and a mediation analysis. Results A total of 317 HCWs employed by 22 unique home care agencies across New York, NY, completed the survey. They had a median age of 50 years, 94% were women, and 44% were non-Hispanic Black. Results demonstrated that mutuality had a direct influence on HCW contribution to self-care and preparedness influenced their contribution to self-care, but only through the mediation of self-efficacy. Conclusion Home care workers' preparedness, mutuality, and self-efficacy have important roles in influencing their contribution to HF self-care. As a workforce increasingly involved in the care of patients with HF, knowing the mechanisms underpinning HCWs' contribution to self-care may illuminate future interventions aimed at improving their contributions and HF patient outcomes

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits

Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 × 10−8) from the largest single-stage blood pressure (BP) genome-wide association study to date (n = 1,028,980 European individuals). These associations explain more than 60% of single nucleotide polymorphism-based BP heritability. Comparing top versus bottom deciles of polygenic risk scores (PRSs) reveals clinically meaningful differences in BP (16.9 mmHg systolic BP, 95% CI, 15.5–18.2 mmHg, P = 2.22 × 10−126) and more than a sevenfold higher odds of hypertension risk (odds ratio, 7.33; 95% CI, 5.54–9.70; P = 4.13 × 10−44) in an independent dataset. Adding PRS into hypertension-prediction models increased the area under the receiver operating characteristic curve (AUROC) from 0.791 (95% CI, 0.781–0.801) to 0.826 (95% CI, 0.817–0.836, ∆AUROC, 0.035, P = 1.98 × 10−34). We compare the 2,103 loci results in non-European ancestries and show significant PRS associations in a large African-American sample. Secondary analyses implicate 500 genes previously unreported for BP. Our study highlights the role of increasingly large genomic studies for precision health research

Understanding the Technological Landscape of Home Health Aides: Scoping Literature Review and a Landscape Analysis of Existing mHealth Apps

BackgroundHome health aides (HHAs) provide necessary hands-on care to older adults and those with chronic conditions in their homes. Despite their integral role, HHAs experience numerous challenges in their work, including their ability to communicate with other health care professionals about patient care while caring for patients and access to educational resources. Although technological interventions have the potential to address these challenges, little is known about the technological landscape and existing technology-based interventions designed for and used by this workforce. ObjectiveWe conducted a scoping review of the scientific literature to identify existing studies that have described, designed, deployed, or tested technology-based tools and apps intended for use by HHAs to care for patients at home. To complement our literature review, we conducted a landscape analysis of existing mobile apps intended for HHAs providing in-home care. MethodsWe searched the following databases from their inception to October 2020: Ovid MEDLINE, Ovid Embase, Cochrane Library, and CINAHL (EBSCO). A total of 3 researchers screened the yield using prespecified inclusion and exclusion criteria. In addition, 4 researchers independently reviewed these articles, and a fifth researcher arbitrated when needed. Among studies that met the inclusion criteria, data were extracted and summarized narratively. An analysis of mobile health apps designed for HHAs was performed using a predefined set of terms to search Google Play and Apple App stores. Overall, 2 researchers independently screened the resulting apps, and those that met the inclusion criteria were categorized according to their intended purpose and functionality. ResultsOf the 8643 studies retrieved, 182 (2.11%) underwent full-text review, and 4.9% (9/182) met our inclusion criteria. Approximately half (4/9, 44%) of the studies were descriptive in nature, proposing technology-based systems (eg, web portals and dashboards) or prototypes without a technical or user-based evaluation of the technology. In most (7/9, 78%) papers, HHAs were just one of several users and not the sole or primary intended users of the technology. Our review of mobile apps yielded 166 Android and iOS apps, of which 48 (29%) met the inclusion criteria. These apps provided HHAs with one or more of the following functions: electronic visit verification (29/48, 60%), clocking in and out (23/48, 48%), documentation (22/48, 46%), task checklist (19/48, 40%), communication between HHA and agency (14/48, 29%), patient information (6/48, 13%), resources (5/48, 10%), and communication between HHA and patients (4/48, 8%). Of the 48 apps, 25 (52%) performed monitoring functions, 4 (8%) performed supporting functions, and 19 (40%) performed both. ConclusionsA limited number of studies and mobile apps have been designed to support HHAs in their work. Further research and rigorous evaluation of technology-based tools are needed to assess their impact on the work HHAs provide in patient’s homes

The Influence of Preparedness, Mutuality, and Self-efficacy on Home Care Workers' Contribution to Self-care in Heart Failure: A Structural Equation Modeling Analysis

Background: Home care workers (HCWs) are increasingly caring for patients with heart failure (HF). Previous studies have shown that they contribute to HF patients' care, but how their preparedness and their relationship with patients (mutuality) influence caregiving is unknown, as well as the role of HCWs' self-efficacy. Objective: Guided by the Situation-Specific Theory of Caregiver Contribution to HF Self-Care, we investigated the influence of HCWs' preparedness and mutuality on HCWs' contribution to HF self-care and the mediating effect of HCWs' self-efficacy in the process. Methods: We conducted a cross-sectional survey of HCWs who cared for patients with HF. The survey included the Caregiver Preparedness Scale, Mutuality Scale, Caregiver Contribution to Self-Care of HF Index, and Caregiver Self-Efficacy in Contributing to Self-Care Scale. We performed structural equation modeling and a mediation analysis. Results: A total of 317 HCWs employed by 22 unique home care agencies across New York, NY, completed the survey. They had a median age of 50 years, 94% were women, and 44% were non-Hispanic Black. Results demonstrated that mutuality had a direct influence on HCW contribution to self-care and preparedness influenced their contribution to self-care, but only through the mediation of self-efficacy. Conclusion: Home care workers' preparedness, mutuality, and self-efficacy have important roles in influencing their contribution to HF self-care. As a workforce increasingly involved in the care of patients with HF, knowing the mechanisms underpinning HCWs' contribution to self-care may illuminate future interventions aimed at improving their contributions and HF patient outcomes

Genetic analysis of over one million people identifies 535 novel loci for blood pressure

High blood pressure is the foremost heritable global risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits to date (systolic, diastolic, pulse pressure) in over one million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also reveal shared loci influencing lifestyle exposures. Our findings offer the potential for a precision medicine strategy for future cardiovascular disease prevention

Evidence of Novel Susceptibility Variants for Prostate Cancer and a Multiancestry Polygenic Risk Score Associated with Aggressive Disease in Men of African Ancestry.

BACKGROUND: Genetic factors play an important role in prostate cancer (PCa) susceptibility. OBJECTIVE: To discover common genetic variants contributing to the risk of PCa in men of African ancestry. DESIGN, SETTING, AND PARTICIPANTS: We conducted a meta-analysis of ten genome-wide association studies consisting of 19378 cases and 61620 controls of African ancestry. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Common genotyped and imputed variants were tested for their association with PCa risk. Novel susceptibility loci were identified and incorporated into a multiancestry polygenic risk score (PRS). The PRS was evaluated for associations with PCa risk and disease aggressiveness. RESULTS AND LIMITATIONS: Nine novel susceptibility loci for PCa were identified, of which seven were only found or substantially more common in men of African ancestry, including an African-specific stop-gain variant in the prostate-specific gene anoctamin 7 (ANO7). A multiancestry PRS of 278 risk variants conferred strong associations with PCa risk in African ancestry studies (odds ratios [ORs] >3 and >5 for men in the top PRS decile and percentile, respectively). More importantly, compared with men in the 40-60% PRS category, men in the top PRS decile had a significantly higher risk of aggressive PCa (OR = 1.23, 95% confidence interval = 1.10-1.38, p = 4.4 × 10-4). CONCLUSIONS: This study demonstrates the importance of large-scale genetic studies in men of African ancestry for a better understanding of PCa susceptibility in this high-risk population and suggests a potential clinical utility of PRS in differentiating between the risks of developing aggressive and nonaggressive disease in men of African ancestry. PATIENT SUMMARY: In this large genetic study in men of African ancestry, we discovered nine novel prostate cancer (PCa) risk variants. We also showed that a multiancestry polygenic risk score was effective in stratifying PCa risk, and was able to differentiate risk of aggressive and nonaggressive disease

Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits.

Acknowledgements: J.N.H. is supported by the National Institutes of Health (grant no. K12HD04348; principal investigator K. E. Hartmann). T.E. and A.M. were supported by the Council of Europe (grant no. 2014-2020.4.01.15-0012) and Estonian Research Council (grant no. PRG1291). Z.K. is supported by Isfahan University of Medical Sciences (3400581) and Iran’s National Elites Foundation (grant no. ISF140100108). J.N.D. holds a British Heart Foundation Professorship and a National Institute for Health Research Senior Investigator Award. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. Cohort support was provided by the Million Veteran Program (MVP) VA Award BX004821 (to P.W.F.W. and K.C.). Individual cohort acknowledgements are provided in the Supplementary Notes. We dedicate this paper to the memory of Evangelos Evangelou (the first author of our previous BP-GWAS paper5), who sadly passed away in July 2023.Hypertension affects more than one billion people worldwide. Here we identify 113 novel loci, reporting a total of 2,103 independent genetic signals (P < 5 × 10-8) from the largest single-stage blood pressure (BP) genome-wide association study to date (n = 1,028,980 European individuals). These associations explain more than 60% of single nucleotide polymorphism-based BP heritability. Comparing top versus bottom deciles of polygenic risk scores (PRSs) reveals clinically meaningful differences in BP (16.9 mmHg systolic BP, 95% CI, 15.5-18.2 mmHg, P = 2.22 × 10-126) and more than a sevenfold higher odds of hypertension risk (odds ratio, 7.33; 95% CI, 5.54-9.70; P = 4.13 × 10-44) in an independent dataset. Adding PRS into hypertension-prediction models increased the area under the receiver operating characteristic curve (AUROC) from 0.791 (95% CI, 0.781-0.801) to 0.826 (95% CI, 0.817-0.836, ∆AUROC, 0.035, P = 1.98 × 10-34). We compare the 2,103 loci results in non-European ancestries and show significant PRS associations in a large African-American sample. Secondary analyses implicate 500 genes previously unreported for BP. Our study highlights the role of increasingly large genomic studies for precision health research

Trans-ethnic association study of blood pressure determinants in over 750,000 individuals.

In this trans-ethnic multi-omic study, we reinterpret the genetic architecture of blood pressure to identify genes, tissues, phenomes and medication contexts of blood pressure homeostasis. We discovered 208 novel common blood pressure SNPs and 53 rare variants in genome-wide association studies of systolic, diastolic and pulse pressure in up to 776,078 participants from the Million Veteran Program (MVP) and collaborating studies, with analysis of the blood pressure clinical phenome in MVP. Our transcriptome-wide association study detected 4,043 blood pressure associations with genetically predicted gene expression of 840 genes in 45 tissues, and mouse renal single-cell RNA sequencing identified upregulated blood pressure genes in kidney tubule cells

Genetic analysis of over one million people identifies 535 novel loci for blood pressure

High blood pressure is the foremost heritable global risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits to date (systolic, diastolic, pulse pressure) in over one million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also reveal shared loci influencing lifestyle exposures. Our findings offer the potential for a precision medicine strategy for future cardiovascular disease prevention

Publisher Correction:Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals (Nature Genetics, (2020), 52, 12, (1314-1332), 10.1038/s41588-020-00713-x)

Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency &gt; 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P &lt; 5 × 10−8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets