7 research outputs found

    Competency of health information acquisition and intention for active health behaviour in children

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    © Under License of Creative Commons Attribution 3.0 License. Objective: To investigate the association between competency of health information acquisition, both online and offline, and the intention for active health behaviour in children. Methods: This study was a population-based cross-sectional health survey utilising a two-stage random cluster sampling design conducted in a major city. Competency of health information acquisition was assessed by a rating scale designed specifically for this study. The intention for active health behaviour was measured by a vignettebased question. Data were analysed using multiple logistic regression modelling techniques with adjustment to the cluster sampling effect and potential confounding factors. Results: After adjusting for potential confounding factors and the cluster sampling effect, intention for active health behaviour was significantly associated with competency of health information acquisition both online (OR=1.06, 95%C.I.=1.01-1.12) and offline (OR=1.08, 95%C.I.=1.02-1.18). Conclusions: Results suggested a positive relationship between competency of health information acquisition, both online and offline, and the intention for active health behaviour which have important public health implications on child health behaviour

    Hospital Information Systems (HIS) In The Examination Rooms And Wards:Doctors Perceived Positive Impact On Quality Of Care And Patient Safety

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    Hospital Information Systems [HIS] is developed to support healthcare organizations in providing efficient, quality,and safe healthcare services.The objective of this study is to identify and describe doctors’ perspective on the impact of HIS use in the examination rooms and wards on quality of care and patient safety. Semi-structured interviews were carried out with thirty one doctors from three Malaysian government hospitals. Thematic qualitative analysis was performed by using ATLAS.ti to deduce the relevant themes.HIS were commonly believed to improve quality of care and patient safety in terms of :[1] accessibility of patients’ record,[2] efficient patient-care,[3] well-structured report viewing,[4] less missing patients’ records,[5]legibility of patients’ records,and [6] safety features.In conclusion,the use of HIS in examination rooms and wards suggests to improve the quality of care and patient safety

    Investigating Evaluation Frameworks for Electronic Health Record: A Literature Review

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    BACKGROUND: There are various electronic health records (EHRs) evaluation frameworks with multiple dimensions and numerous sets of evaluation measures, while the coverage rate of evaluation measures in a common framework varies in different studies. AIM: This study provides a literature review of the current EHR evaluation frameworks and a model for measuring the coverage rate of evaluation measures in EHR frameworks. METHODS: The current study was a comprehensive literature review and a critical appraisal study. The study was conducted in three phases. In Phase 1, a literature review of EHR evaluation frameworks was conducted. In Phase 2, a three-level hierarchical structure was developed, which includes three aspects, 12 dimensions, and 110 evaluation measures. Subsequently, evaluation measures in the identified studies were categorized based on the hierarchical structure. In Phase 3, relative frequency (RF) of evaluation measures in different dimensions and aspects for each of the identified studies were determined and categorized as follows: Appropriate, moderate, and low coverage. RESULTS: Out of a total of 8276 retrieved articles, 62 studies were considered relevant. The RF range in the second and third level of the hierarchical structure was between 8.6%–91.94% and 0.2%–61%, respectively. “Ease of use” and “system quality” were the most frequent evaluation measure and dimension. Our results indicate that identified studies cover at least one and at most nine evaluation dimensions and current evaluation frameworks focus more on the technology aspect. Almost in all identified studies, evaluation measures related to the technology aspect were covered. However, evaluation measures related to human and organization aspects were covered in 68% and 84% of the identified studies, respectively. CONCLUSION: In this study, we systematically reviewed all literature presenting any type of EHR evaluation framework and analyzed and discussed their aspects and features. We believe that the findings of this study can help researchers to review and adopt the EHR evaluation frameworks for their own particular field of usage

    Relationship Between Information System Success Model Dimensions and Electronic Health Records Use

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    The rise in the use of electronic health records (EHRs) in health care facilities necessitates a standardized tool for evaluating their effectiveness. Delone and McLean’s information system success model (ISSM) was the theoretical foundation, which consists of seven dimensions namely system, information, service qualities, user satisfaction, use, system usefulness, and net benefits. The purpose of this study was to examine EHRs’ efficiency and identify ISSM dimensions that influenced net benefits, the dependent variable. The research questions examined the relationship between dimensions of ISSM and the dimensions that affect net benefits. Participants were recruited using purposeful sampling via social media and email and accessed the survey through a link provided. Two hundred and one registered nurses who worked at least 20 hours per week in acute and primary care settings completed the survey consisting of 60 items. Data were analyzed with SPSS version 27 for Pearson correlation and multiple linear regression. Results indicated a significant positive relationship between dimensions (r = .036 - .816, p \u3c .05). From the regression analysis, information quality [B = .223, 95% CI (.070, .376), p \u3c .05], user satisfaction [B = .281, 95% CI (.138, .424), p \u3c .05], and system usefulness [B = .433, 95% CI (.348, .518), p \u3c .05] were positive predictors of net benefits. Service and system qualities and use did not predict net benefits. This study promotes positive social change by validating the survey tool for U.S. health care. Recommendations for future studies include exploring how nursing practice setting influence nurse users’ view of EHRs’ efficiency

    Exploring and Understanding Factors that Affect the Adoption of Personal Health Records Among Healthcare Providers

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    Statement of the problem: Lately, there has been increasing recognition of the importance of PHRs in achieving healthcare transformation in the U.S. Regardless significant consumer interest and expected benefits, generally the adoption of PHRs remains relatively low. For the continuing development of patient PHRs, exploring factors that affect the behavior intentions of healthcare providers to adopt PHRs is significant. The Purpose of this study was to create a valid tool entitled “Personal Health Record Assessment Survey” (PHRAS) then implement this tool in the population to understand the predictive relationship, if any, that may exist between perceptions of knowledge, attitudes, subjective norms, self-efficacy, perceived credibility, perceived health-promoting role model, perceived usefulness and perceived ease of use regarding the behavioral intent to adopt PHR among healthcare providers. Methods: The study design was descriptive, exploratory, cross-sectional and correlational research design to determine the behavioral intention of healthcare providers to use PHRs. The sample consisted of 300 participants who identified as healthcare providers. Results: Reliability for the whole tool with all factors combined was excellent (Cronbach’s alpha .91). Correlations were statistically significant and showed positive findings across all eight independent variables. The relationship perceived ease of use and the adoption of PHRs (for their medical practice) was not significant. The two factors that were significant in the regression model subjective norms and perceived credibility. The healthcare provider’s use of PHRs for their own health management was significantly associated with encouraging their patients to use PHRs. Significant differences existed between in adoption and use of PHRs by health care providers who use and who don’t use for themselves. Conclusions: The findings of the study suggest that healthcare providers are more likely to use a system if they feel it is secure and safe to use, and there are no privacy issues when using it. Also, if it is promoted by their health care organization, and when their physician recommends it. If their friends or colleagues are using PHRs, they will be more likely to use PHRs also. Further research is needed to gain more understanding of the factors related to ePHRs adoption by healthcare providers

    State Consent Policies and the Meaningful Use of Electronic Health Records Among Nonfederal Acute Care Hospitals in the United States

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    The less-than-nationwide use of electronic health record (EHR) systems to send, receive, and integrate (SRI) patient summary of care (PSC) records limits the ability of hospital administrators to maximize efficiency and improve quality in the continuum of care. Despite obvious differences in state health information exchange (HIE) consent policies, there is no known research that has determined if and what aspects of state-level HIE legislation affect the use of EHR systems to SRI PSC records. Guided by the unified theory of acceptance and use of technology (UTAUT), the purpose of this quantitative cross-sectional research study was to examine the relationship between one independent variable (type of HIE consent policy) and three dependent variables: percent of nonfederal acute care hospitals that electronically (a)send (b) receive (c) integrate PSC records from and into their EHR from outside providers respectively. Data analysis using multivariate analysis of variance (MANOVA) statistical test found that Opt-in policy states had the lowest percentage of hospitals engaging in the three domains. The study also found that the use of EHR systems was most rampant in states with relatively less stringent HIE policies., there was a non-statistically significant relationship between HIE policy type and the dependent variable. However, the relationship between year (secular trend) and the dependent variable was statistically significant as there was incremental changes in the independent variable between 2015 and 2017. The study contributes to positive social change by providing increased research within the (HIE) field aiming to promote government and private sector investment to understand and address technological, practice, and policy barriers regarding EHR-to-EHR system integrations

    Strategies Among Health Care Business Professionals to Increase Productivity and Revenue

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    Health care business professionals have been slow to implement electronic medical records (EMRs), although this is a federal requirement tied to reimbursement from Medicare and Medicaid. Guided by the conceptual framework of the technology acceptance model (TAM), the purpose of this single-case study was to explore EMR strategies that health care business professionals use to increase productivity and revenue. The target population was comprised of health care business professionals with EMR strategies in Orange County, New York. Methodological triangulation included analysis of semistructured interviews with 7 health care business professionals and review of organizational documents consisting of emails, meeting minutes, and a handbook. The recruitment strategy used was random sampling and snowball sampling. Analysis included compiling data, coding the data by disassembling into categories, and reassembling the data into emergent themes. The findings of the study included 5 themes or strategies focused on EMR implementation, leaders\u27 efforts to support and sustain the EMR, helping users accept the EMR, communication and efficiency for increasing productivity and revenue, and helping users improve health care safety. Health care business organizations can benefit by knowing where to focus their resources, maximizing return on investment. The findings could effect social change by enumerating strategies that businesses can use to improve performance, and productivity for health care business professionals and improve quality, care coordination, and management of population health and safety of health care for patients
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