Nursing ResearchPub Date : 2025-05-01Epub Date: 2025-02-06DOI: 10.1097/NNR.0000000000000809
Fatima Alzyoud
{"title":"Psychometric Analysis of Disrespect and Abuse Scale.","authors":"Fatima Alzyoud","doi":"10.1097/NNR.0000000000000809","DOIUrl":"10.1097/NNR.0000000000000809","url":null,"abstract":"<p><strong>Background: </strong>Disrespect and abuse of laboring and child-birthing women in health care is a global problem that violates the universal human rights of childbearing women. There is a lack of reliable and valid tools for measuring these behaviors. One instrument, the Disrespect and Abuse scale, has preliminary data with no established psychometrics in diverse populations. Further analysis is required to ensure the reliability and validity of this tool in diverse populations and health care settings.</p><p><strong>Objectives: </strong>We examined the psychometric properties of the Disrespect and Abuse scale in diverse international nursing and midwifery populations.</p><p><strong>Methods: </strong>A cross-sectional descriptive design was used to measure disrespect and abuse toward women during childbirth. Data were collected from 231 nurses and midwives across international labor and delivery units. Exploratory factor analysis was conducted using principal component analysis with oblimin rotation as the factor extraction method.</p><p><strong>Results: </strong>The psychometric assessment yielded a two-factor structure. Factor 1 consisted of 13 items characterizing physical and verbal abuse. Factor 2 contained nine items reflecting disrespectful behaviors. The Cronbach's alpha coefficients reflected high internal consistency.</p><p><strong>Discussion: </strong>The scale was shown to be reliable and valid in assessing self-reported disrespectful and abusive behaviors among nurses and midwives in a diverse international sample. Use could assist in the assessment of these behaviors in maternal health care facilities. Further research is warranted to confirm the scale's robustness and applicability across various populations and settings and use the Disrespect and Abuse scale to identify the burden and predictors of mistreatment of women in different health care settings.</p>","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":" ","pages":"213-217"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nursing ResearchPub Date : 2025-05-01Epub Date: 2024-12-16DOI: 10.1097/NNR.0000000000000802
Martha A Q Curley, Laura Beth Kalvas, Mallory A Perry-Eaddy, Lisa A Asaro, David Wypij
{"title":"A Decision-Making Grid for Coenrollment in Multiple Clinical Trials.","authors":"Martha A Q Curley, Laura Beth Kalvas, Mallory A Perry-Eaddy, Lisa A Asaro, David Wypij","doi":"10.1097/NNR.0000000000000802","DOIUrl":"10.1097/NNR.0000000000000802","url":null,"abstract":"<p><strong>Background: </strong>Although subject coenrollment into multiple trials is desirable, thoughtful consideration is required to avoid compromising each trial's scientific integrity.</p><p><strong>Objective: </strong>We developed a Decision-Making Grid (GRID) to help investigators determine whether a clinical trial is compatible with a second clinical trial, thus allowing coenrollment, or if it should be considered competing, prohibiting coenrollment.</p><p><strong>Methods: </strong>The GRID evaluates 21 elements across four domains: scientific integrity, data interpretation, feasibility/burden, and additional considerations. Optimally, each principal investigator shares their protocol, completes the GRID independently, and then meets to compare their perspectives, seeking a mutually acceptable agreement.</p><p><strong>Results: </strong>The GRID has facilitated coenrollment decision-making for the RESTORE and PROSpect pediatric critical care clinical trials. In RESTORE , five trials were reviewed; one was approved for coenrollment, and four were deemed competing. In PROSpect , 26 trials have been reviewed; 20 are approved for coenrollment, and six were deemed competing. In both RESTORE and PROSpect , the principal investigators of multiple trials arranged a mutually acceptable sharing agreement.</p><p><strong>Discussion: </strong>The GRID provides a systematic process to help investigators evaluate the effect of coenrollment in multiple clinical trials.</p>","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":" ","pages":"241-245"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nursing ResearchPub Date : 2025-05-01DOI: 10.1097/NNR.0000000000000812
Rita H Pickler
{"title":"The Truth About Science.","authors":"Rita H Pickler","doi":"10.1097/NNR.0000000000000812","DOIUrl":"https://doi.org/10.1097/NNR.0000000000000812","url":null,"abstract":"","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":"74 3","pages":"165-166"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144043255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nursing ResearchPub Date : 2025-05-01DOI: 10.1097/NNR.0000000000000799
Frank Kiwanuka, Wasswa Shafik
{"title":"Nursing as a Lingua Franca for Artificial Intelligence in Patients' Care Trajectories: Where Are We Headed?","authors":"Frank Kiwanuka, Wasswa Shafik","doi":"10.1097/NNR.0000000000000799","DOIUrl":"https://doi.org/10.1097/NNR.0000000000000799","url":null,"abstract":"","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":"74 3","pages":"170"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144028732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nursing ResearchPub Date : 2025-05-01Epub Date: 2025-01-24DOI: 10.1097/NNR.0000000000000808
Mei-Chuan Huang, Ya-Ping Yang, Hua-Tsen Hsiao, Mei-Yueh Lee
{"title":"Development and Validation of the Scale of Hypoglycemia Self-Care Behavior in Type 2 Diabetes.","authors":"Mei-Chuan Huang, Ya-Ping Yang, Hua-Tsen Hsiao, Mei-Yueh Lee","doi":"10.1097/NNR.0000000000000808","DOIUrl":"10.1097/NNR.0000000000000808","url":null,"abstract":"<p><strong>Background: </strong>Inappropriate dietary, exercise, and medication self-care behaviors among persons with diabetes can easily trigger hypoglycemia. Clinically, it is necessary to quickly identify high-risk groups for hypoglycemic events to provide targeted hypoglycemia education. However, there is currently a lack of precise tools to assess self-care behaviors related to hypoglycemia.</p><p><strong>Objectives: </strong>The aim of the study was to develop and validate a hypoglycemia self-care behavior scale for evaluating the behaviors of persons with diabetes in handling and preventing hypoglycemic events.</p><p><strong>Methods: </strong>A cross-sectional study with purposive sampling was conducted to recruit 300 persons with Type 2 diabetes who had experienced hypoglycemic events from a medical center and a primary care clinic in southern Taiwan. Data were collected using a structured questionnaire from December 2021 to September 2023.</p><p><strong>Results: </strong>The original Hypoglycemia Self-Care Behavior Scale, comprising 26 items, was reduced to 17 items, measuring six factors after exploratory factor analysis. Subsequently, the scale was further refined to 10 items covering four factors through structural equation modeling. Validity and reliability were assessed during this process, and the developed scale was subsequently verified for both. Factor loadings ranged from .50-.97, explaining 76% of the total variance. The four factors included \"hypoglycemia recognition and carbohydrate supplementation,\" \"prevention of hypoglycemia during exercise,\" \"carbohydrate assessment,\" and \"seeking medical assistance.\" The Hypoglycemia Self-Care Behavior Scale-developed and validated through structural equation modeling-demonstrates satisfactory model fit, convergent validity, and discriminant validity. Internal consistency was within the range of .73-.94, indicating strong reliability.</p><p><strong>Discussion: </strong>The Hypoglycemia Self-Care Behavior Scale not only functions as a tool for the rapid assessment of self-care behaviors during hypoglycemic events by clinical healthcare professionals but can also serve as reference for hypoglycemia-related health education.</p>","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":" ","pages":"206-212"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143034732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nursing ResearchPub Date : 2025-05-01Epub Date: 2025-01-13DOI: 10.1097/NNR.0000000000000806
Kristin Pullyblank
{"title":"Rural Culture and Diabetes Self-Management Beliefs, Behaviors, and Health Outcomes.","authors":"Kristin Pullyblank","doi":"10.1097/NNR.0000000000000806","DOIUrl":"10.1097/NNR.0000000000000806","url":null,"abstract":"<p><strong>Background: </strong>Rural populations in the United States face a diabetes mortality penalty. Self-management is a core component of treatment for Type 2 diabetes, but there is low uptake of self-management education and support interventions in rural areas. Rural structural barriers to diabetes self-management have been described, yet the role of rural culture has not been extensively explored.</p><p><strong>Objective: </strong>The purpose was to examine the relationships among rural culture, diabetes beliefs, self-management behaviors, and health outcomes.</p><p><strong>Methods: </strong>A stratified random sample of 500 adults with Type 2 diabetes were recruited from a rural integrated healthcare system and invited to participate in this nonexperimental cross-sectional study. Participants completed a survey that included validated measures of rural identity, self-reliance, perceived diabetes threat, and diabetes self-management behaviors. The most recent A1c was collected from the medical record. Descriptive, bivariate, multivariate, and moderation analyses were conducted.</p><p><strong>Results: </strong>One hundred twenty-eight participants returned completed surveys. Having an A1c <8% was associated with better diabetes self-management behaviors, lower perceived threat, being female, and older age. Better diabetes self-management behaviors were associated with lower self-reliance, lower perceived threat, and older age. The combined moderation effect of both self-reliance and rural identity on the relationship between perceived threat and self-management behaviors was significant.</p><p><strong>Discussion: </strong>Findings highlight the complex relationship between diabetes beliefs and behavior in rural populations and demonstrate that components of the rural culture have both direct and moderating effects on diabetes beliefs and self-management behaviors. These findings have important ramifications for nurses practicing in rural settings.</p>","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":" ","pages":"179-185"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143015091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nursing ResearchPub Date : 2025-05-01Epub Date: 2025-01-29DOI: 10.1097/NNR.0000000000000811
Hsuan-Ju Kuo, Ya-Ching Huang, Aprile D Benner, Alexandra A García
{"title":"Latent Profile Analysis of Fatigue Subtypes in Adults With Type 2 Diabetes.","authors":"Hsuan-Ju Kuo, Ya-Ching Huang, Aprile D Benner, Alexandra A García","doi":"10.1097/NNR.0000000000000811","DOIUrl":"10.1097/NNR.0000000000000811","url":null,"abstract":"<p><strong>Background: </strong>People with type 2 diabetes mellitus (T2DM) commonly report a higher fatigue intensity than the general population. However, effective fatigue management is lacking because little is known about other fatigue characteristics, including timing, distress, and quality, as well as the potential fatigue subtypes experienced in people with T2DM.</p><p><strong>Objective: </strong>This study aims to describe fatigue intensity, timing, distress, and quality and to identify fatigue subtypes in people with T2DM.</p><p><strong>Methods: </strong>This cross-sectional, descriptive study included a sample of 150 participants with T2DM recruited from two diabetes outpatient clinics in Taiwan. Fatigue intensity, timing, and distress were measured using the Fatigue Symptom Inventory. Fatigue quality was measured using the Multidimensional Fatigue Inventory. Fatigue subtypes were identified using a latent profile analysis.</p><p><strong>Results: </strong>Participants reported a mild fatigue intensity, experiencing fatigue for about 22% of the day with worse fatigue in the afternoon and evening and having mild disturbances. Three fatigue subtypes were identified. The \"high/persistent fatigue with mild distress\" subtype was characterized by high fatigue intensity and duration with severe general, physical, and mental fatigue that mildly interfered with functioning. The \"moderate/frequent fatigue with minimal distress\" group showed moderate levels of fatigue intensity and duration levels with intermediate of general, physical, and mental fatigue and minimal fatigue disturbances. The \"no fatigue and distress\" subtype was characterized by overall low fatigue scores.</p><p><strong>Discussion: </strong>We identified fatigue characteristics and subtypes in people with T2DM, providing insights into better fatigue management. People with T2DM reported having mild but persistent fatigue. The latent profile analysis revealed that fatigue is likely composed of a mixture of physical and mental components. Nurses should assess both the physical and the mental aspects of fatigue while addressing features of the fatigue characteristics in tailored management strategies to alleviate all aspects of fatigue in people with T2DM.</p>","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":" ","pages":"193-198"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143069160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nursing ResearchPub Date : 2025-05-01Epub Date: 2024-12-16DOI: 10.1097/NNR.0000000000000804
Jean Marie Gouveia, Susan Hunter Revell, Mary K McCurry, Mirinda Brown Tyo
{"title":"Double-Duty Caregivers' Satisfaction With Healthcare Provider Communication.","authors":"Jean Marie Gouveia, Susan Hunter Revell, Mary K McCurry, Mirinda Brown Tyo","doi":"10.1097/NNR.0000000000000804","DOIUrl":"10.1097/NNR.0000000000000804","url":null,"abstract":"<p><strong>Background: </strong>Double-duty caregivers are healthcare professionals caring for family members or friends outside the workplace. Although they may communicate frequently with colleagues in their professional role, little is known about communication with healthcare providers in the caregiving role.</p><p><strong>Objectives: </strong>The aims of this study were to measure double-duty caregiver satisfaction when communicating with healthcare providers and to identify correlates and predictors of satisfaction.</p><p><strong>Methods: </strong>A cross-sectional, nonexperimental, correlational study was used. Participants included registered nurses who were current or former caregivers of a family member or friend aged 50 or older. Correlation and multiple linear regression analyses were performed to examine the associations between double-duty caregivers' personal and professional attributes, factors, and satisfaction with communication.</p><p><strong>Results: </strong>Double-duty caregivers reported above-average satisfaction with communication. Personal beliefs about caring and trust had the highest influence on satisfaction. Stress was associated with lower satisfaction with communication.</p><p><strong>Discussion: </strong>This study is the first to examine double-duty caregiver satisfaction when communicating with healthcare providers and associated factors. Healthcare providers must implement strategies to maximize their acknowledgment of personal beliefs about caring and foster the building of trusting relationships to support colleagues in this role.</p>","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":" ","pages":"199-205"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nursing ResearchPub Date : 2025-05-01Epub Date: 2025-02-06DOI: 10.1097/NNR.0000000000000810
Shelley A Blozis, Hayat Botan
{"title":"Two-Part Mixed-Effects Location Scale Models for Health Diary Data.","authors":"Shelley A Blozis, Hayat Botan","doi":"10.1097/NNR.0000000000000810","DOIUrl":"10.1097/NNR.0000000000000810","url":null,"abstract":"<p><strong>Background: </strong>The analysis of health diary data has long relied on inferential statistical methods focusing on sample means and ad hoc methods to calculate each individual's variation in health outcomes.</p><p><strong>Objectives: </strong>In this paper, an advanced statistical model is applied to daily diary self-reported health outcomes to simultaneously study an individual's likeliness to report an outcome, daily mean intensity level, and variability in daily measures.</p><p><strong>Methods: </strong>Using observational, secondary data from 782 adults, we analyzed self-report daily fatigue symptoms, distinguishing between whether an individual reported fatigue and its severity when reported. Self-reported depressed affect and participant characteristics were used as predictors of daily fatigue symptoms.</p><p><strong>Results: </strong>A higher likeliness to report fatigue correlated with higher mean fatigue severity and greater stability in severity ratings. Higher mean severity correlated with greater stability in severity ratings. Females and those with high depressed affect were more likely to report fatigue. Females and those with high depressed affect reported greater mean severity.</p><p><strong>Discussion: </strong>The model applied to daily measures allowed for the simultaneous study of an individual's likeliness to report a symptom, daily mean symptom severity, and variability in severity across days. An individual's daily variation in symptom severity was represented as a model parameter that did not contain measurement error that is present in ad hoc methods.</p>","PeriodicalId":49723,"journal":{"name":"Nursing Research","volume":" ","pages":"225-232"},"PeriodicalIF":2.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143371338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}