14 research outputs found

    Predictors of Hepatitis C Testing Intention Among African American Baby Boomers

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    Baby Boomers (BBs) are responsible for three-quarters of hepatitis C virus (HCV) infections in the United States; however, HCV testing is distinctly underused by them. A cross-sectional study was conducted to assess the prevalence of HCV testing and to evaluate predictors of HCV testing intention among African– American BBs. The study was guided by the Health Belief Model and theory of reasoned action frameworks. Of the 137 participants included in the study, 44.8% had at least a college education; 13.9% received prior to 1992 blood transfusion. Findings related to HCV testing showed that 32.1% of the participants intended to test for HCV within 6 months and 43.8% had received a previous HCV test. Significant predictors of HCV testing intention within 6 months included having a blood transfusion prior to 1992 [odds ratio (OR) = 8.25, 95% confidence interval (CI): 2.02–33.61], perceptions of benefits (OR = 1.57, 95% CI: 1.13–2.18), severity (OR = 1.39, 95% CI: 1.17–1.65), and subjective norms (OR = 1.42, 95% CI: 1.12–1.79). These predictors of HCV testing intention can be used to develop future HCV testing initiatives for African–American BBs

    The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature

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    Background: Advancements in information technology (IT) and its increasingly ubiquitous nature expand the ability to engage patients in the health care process and motivate health behavior change. Objective: Our aim was to systematically review the (1) impact of IT platforms used to promote patients' engagement and to effect change in health behaviors and health outcomes, (2) behavior theories or models applied as bases for developing these interventions and their impact on health outcomes, (3) different ways of measuring health outcomes, (4) usability, feasibility, and acceptability of these technologies among patients, and (5) challenges and research directions for implementing IT platforms to meaningfully impact patient engagement and health outcomes. Methods: PubMed, Web of Science, PsycINFO, and Google Scholar were searched for studies published from 2000 to December 2014. Two reviewers assessed the quality of the included papers, and potentially relevant studies were retrieved and assessed for eligibility based on predetermined inclusion criteria. Results: A total of 170 articles met the inclusion criteria and were reviewed in detail. Overall, 88.8% (151/170) of studies showed positive impact on patient behavior and 82.9% (141/170) reported high levels of improvement in patient engagement. Only 47.1% (80/170) referenced specific behavior theories and only 33.5% (57/170) assessed the usability of IT platforms. The majority of studies used indirect ways to measure health outcomes (65.9%, 112/170). Conclusions: In general, the review has shown that IT platforms can enhance patient engagement and improve health outcomes. Few studies addressed usability of these interventions, and the reason for not using specific behavior theories remains unclear. Further research is needed to clarify these important questions. In addition, an assessment of these types of interventions should be conducted based on a common framework using a large variety of measurements; these measurements should include those related to motivation for health behavior change, long-standing adherence, expenditure, satisfaction, and health outcomes. [JMIR Med Inform 2016;4(1):e1

    Predisposing, Enabling, and Need Factors Associated with the Choice of Pharmacy Type in the US: Findings from the 2015/2016 National Consumer Survey on the Medication Experience and Pharmacists’ Roles

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    Background: Knowing the type of pharmacy used by the patient is meaningful to the pharmacist. Previous studies have assessed different factors predicting the kind of pharmacy selection and reached inconsistent findings. Objectives: To identify patient and health-related factors associated with pharmacy type selection. Methods: The Andersen Behavioral Model of Health Service Use was used to organize the selection of patient characteristics and categorize them as predisposing, enabling, and need factors. The dependent variable was the type of pharmacy used. Logistic regression was used to predict the association between patient-related characteristics and the type of pharmacy used. Results: Older age respondents were less likely to use independent pharmacies (OR = 0.992) and more likely to use mail pharmacy services (OR = 1.026). Highly educated people showed higher use of chain and mail pharmacies (OR = 1.272, 1.185, respectively) and less tendency to use the independent, supermarket, and prescription-only pharmacy types. Men were less likely to use chain pharmacies (OR = 0.932) and more likely to use supermarket pharmacies than women. Patients who use Medication Therapy Management (MTM) services had higher odds of using independent and supermarket pharmacies (OR = 2.808, 1.689, respectively). Patients with a higher number of chronic diseases and experienced side effects of medications were more likely to use independent pharmacies (OR for number of disease = 1.097 and for side effects = 1.095). Conclusions: This study’s findings identify characteristics associated with selecting certain pharmacy settings and direct future research to include other predictors encompassing beliefs, attitudes, and other social factors

    The Representation of Causality and Causation with Ontologies: A Systematic Literature Review

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    ABSTRACT   Objective: To explore how disease-related causality is formally represented in current ontologies and identify their potential limitations.   Methods: We conducted a systematic literature search on eight databases (PubMed, Institute of Electrical and Electronic Engendering (IEEE Xplore), Association for Computing Machinery (ACM), Scopus, Web of Science databases, Ontobee, Open Biological and Biomedical Ontology (OBO) Foundry, and Bioportal. We included studies published between January 1, 1970, and December 9, 2020, that formally represent the notions of causality and causation in the medical domain using ontology as a representational tool. Further inclusion criteria were publication in English and peer-reviewed journals or conference proceedings. Two authors (SS, RM) independently assessed study quality and performed content analysis using a modified validated extraction grid with pre-established categorization.   Results: The search strategy led to a total of 8,501 potentially relevant papers, of which 50 met the inclusion criteria. Only 14 out of 50 (28%) specified the nature of causation, and only 7 (14%) included clear and non-circular natural language definitions. Although several theories of causality were mentioned, none of the articles offers a widely accepted conceptualization of how causation and causality can be formally represented.   Conclusion: No current ontology captures the wealth of available concepts of causality.  This provides an opportunity for the development of a formal ontology of causation/causality. (Abstract: 213 words

    Predisposing, Enabling, and Need Factors Associated with the Choice of Pharmacy Type in the US: Findings from the 2015/2016 National Consumer Survey on the Medication Experience and Pharmacists’ Roles

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    Background: Knowing the type of pharmacy used by the patient is meaningful to the pharmacist. Previous studies have assessed different factors predicting the kind of pharmacy selection and reached inconsistent findings. Objectives: To identify patient and health-related factors associated with pharmacy type selection. Methods: The Andersen Behavioral Model of Health Service Use was used to organize the selection of patient characteristics and categorize them as predisposing, enabling, and need factors. The dependent variable was the type of pharmacy used. Logistic regression was used to predict the association between patient-related characteristics and the type of pharmacy used. Results: Older age respondents were less likely to use independent pharmacies (OR = 0.992) and more likely to use mail pharmacy services (OR = 1.026). Highly educated people showed higher use of chain and mail pharmacies (OR = 1.272, 1.185, respectively) and less tendency to use the independent, supermarket, and prescription-only pharmacy types. Men were less likely to use chain pharmacies (OR = 0.932) and more likely to use supermarket pharmacies than women. Patients who use Medication Therapy Management (MTM) services had higher odds of using independent and supermarket pharmacies (OR = 2.808, 1.689, respectively). Patients with a higher number of chronic diseases and experienced side effects of medications were more likely to use independent pharmacies (OR for number of disease = 1.097 and for side effects = 1.095). Conclusions: This study’s findings identify characteristics associated with selecting certain pharmacy settings and direct future research to include other predictors encompassing beliefs, attitudes, and other social factors

    Predictors of hepatitis C testing intention among African American Baby Boomers

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    Baby Boomers (BBs) are responsible for three-quarters of hepatitis C virus (HCV) infections in the United States; however, HCV testing is distinctly underused by them. A cross-sectional study was conducted to assess the prevalence of HCV testing and to evaluate predictors of HCV testing intention among African–American BBs. The study was guided by the Health Belief Model and theory of reasoned action frameworks. Of the 137 participants included in the study, 44.8% had at least a college education; 13.9% received prior to 1992 blood transfusion. Findings related to HCV testing showed that 32.1% of the participants intended to test for HCV within 6 months and 43.8% had received a previous HCV test. Significant predictors of HCV testing intention within 6 months included having a blood transfusion prior to 1992 [odds ratio (OR) = 8.25, 95% confidence interval (CI): 2.02–33.61], perceptions of benefits (OR = 1.57, 95% CI: 1.13–2.18), severity (OR = 1.39, 95% CI: 1.17–1.65), and subjective norms (OR = 1.42, 95% CI: 1.12–1.79). These predictors of HCV testing intention can be used to develop future HCV testing initiatives for African–American BBs

    Prevalence and Predictors of Herbal Medicine Use Among Adults in the United States

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    Objective: To describe the prevalence of herbal medicine use among US adults and to assess factors associated with and predictors of herbal use. Design: The data for herbal products use were collected from the 2015 National Consumer Survey on the Medication Experience and Pharmacists’ Roles. Chi-square test was used to analyz factors associated with herbal use, and predictors of herbal use were assessed with logistic regression analysis. Results: Factors associated with herbal supplement use include age older than 70, having a higher than high school education, using prescription medications or over-the-counter (OTC) medications, and using a mail-order pharmacy.” All Disease state associated significantly with herbal use. Approximately thirty-eight percent of those who used herbals used prescription medications and 42% of those who used herbals also used an OTC medication. The most frequent conditions associated with herbal supplement use were a stroke (48.7%), cancer (43.1%), and arthritis (43.0%). Among herbal product users, factors that predicted use included having higher than school education, using OTC medications, using mail-order pharmacy, stroke, obesity, arthritis, and breathing problems. Conclusions: More than one-third of respondents reported using herbal supplements. Older age and higher education were associated with a higher use of herbal supplements. People with chronic diseases are more likely to use herbal medicines than others. OTC drug users and patients with stroke are more likely to use herbal medicines than others

    An evaluation of hepatitis C knowledge and correlations with health belief model constructs among African American “baby boomers”

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    Summary: Background: Baby boomers (people born between 1945 and 1965) are responsible for three-quarters of Hepatitis C (HCV) infections in the US; however, HCV testing is distinctly underused by them. Aim: To assess the status, predictors, and correlates of HCV knowledge among African-American baby boomers (AABBs) in Washington, DC. Methods: A cross-sectional survey among persons aged 46–69 was conducted using audio computer-assisted self-interviewing (ACASI). Data on HCV knowledge, socio-demographics, prior history of HCV testing, health-related characteristics, HCV vulnerability and HCV treatment perceptions were collected. Descriptive statistics was used to describe the study population. Pearson correlations were used to examine linear associations between HCV knowledge and Health Belief Model constructs related to HCV. Linear regression analysis was conducted to assess the predictors of knowledge. Results: Out of the 137 participants, about sixty percent (60.6%) were females, mean age 59 ± 6.40; 44.8% had at least a college education. The average knowledge score was low (48.7%). HCV knowledge was significantly correlated with constructs of perceived severity and perceived benefits. Age (β = −0.10; p = 0.003), and level of education (β = 0.93, p = 0.027) were significant predictors. Conclusions: Overall, respondents have a low level of knowledge. The lower level of education and older age were significant predictors of inadequate HCV knowledge. Thus, HCV education among these people may be a vital component in reducing the gaps in HCV knowledge. Keywords: Baby boomer, Health Belief Model, Hepatitis C, Knowledg
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