A Multi-Center Structural Equation Modeling Approach to Investigate Interpersonal Violence Screening for Public Health Promotion
Bibliographic Data
| ID | 22088051 |
|---|---|
| Authors | Lan Jiang (0000-0002-4097-1341, Binghamton University), Melissa A Sutherland (0000-0002-0242-2536, Binghamton University), M Katherine Hutchinson (0000-0001-8270-9491, University of Rhode Island), Bing Si (0000-0002-2352-7230, Binghamton University, corresponding author) |
| Year | 2021 |
| Volume | 9 |
| Pages | 637222-637222 |
| Publication date | 2021-06-11 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.637222 |
| PMID | 34178912 |
| OpenAlex | W3166742291 |
| Language | EN |
| References cited | 41 |
Background: Interpersonal violence is a significant public health issue. Routine health screening is a cost-effective strategy that may reduce harmful physical and mental consequences. However, existing research finds consistently low rates of violence screening offered by healthcare providers, e.g., nurses, nurse practitioners, physicians. There is a critical need for research that helps understand how providers' screening behaviors are impacted by individual-level and organizational-level factors to promote the uptake of routine screening for interpersonal violence. Two recent studies, i.e., The Health Care Providers study and Nurse Practitioners Violence Screening study, involved quantitative data collected to measure providers' screening behavior and multi-level factors impacting violence screening. Methods: The current analysis includes a combination of multi-center data collected from The Health Care Providers and Nurse Practitioners Violence Screening studies, respectively. The total sample is 389 providers across the United States. The proposed research develops a system-level multi-center structural equation model framework to rigorously integrate data from the two studies and examine providers' screening behavior for interpersonal violence based upon Theory of Planned Behavior from a quantitative perspective. Results & Conclusions: We successfully examine the efficacy of the Theory of Planned Behavior proposed by Ajzen to predict healthcare providers' screening behavior for interpersonal violence. Organizational factors, e.g., availability of policy for interpersonal violence screening, organizational priority given to violence screening relative to other priorities, and if providers within the health center are interested in improving care quality, were significantly associated with providers' screening behavior. The knowledge and insights generated from our study may facilitate the design and optimization of health professional training and practice environment, and lead to improved women's health and quality of care
Domestic violence · Environmental health · Health care · Interpersonal communication · Interpersonal violence · Occupational safety and health · Poison control · Political science · Public health · Structural equation modeling · Suicide prevention · Applied Psychology · Computer Science · Intimate Partner and Family Violence · Medicine · Nursing · Psychology · Public Health Policies and Education · Social Psychology · Workplace Violence and Bullying
Screening for intimate partner violence by health care providersBarriers and interventions
Structural equation modeling in medical research
Screening Women for Intimate Partner Violence
Cutoff criteria for fit indexes in covariance structure analysis
The theory of planned behavior
Little Jiffy, Mark Iv
Provider Screening and Counseling for Intimate Partner Violence
A Canadian Population Level Analysis of the Roles of Irrational Gambling Cognitions and Risky Gambling Practices as Correlates of Gambling Intensity and Pathological Gambling
Screening for Intimate Partner and Sexual Violence in College Women
Barriers in Screening Women for Domestic Violence
Confronting Chronic Neglect
Significance tests and goodness of fit in the analysis of covariance structures
Principles and Practice of Structural Equation Modeling
| Highly cited | No |
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