The relationship between participation in unethical behaviors during the nursing student experience and participation in unethical behaviors as a registered nurse

The effect of unethical behaviors in health care settings is an important issue in the safe care of clients and has been a concern of the nursing profession for some time. The purpose of this study was to examine the relationship between use of unethical behaviors in the nursing student experience and the use of unethical behaviors in the workplace as a registered nurse. In addition, the relationship between the severity of unethical behaviors utilized in the classroom, clinical setting and those in the workplace was examined. To insure greater honesty in self-report, only a limited umber of demographic variables were requested from participants. During the summer of 1997, a 56 item questionnaire was distributed to registered nurses enrolled in either undergraduate or graduate courses in a public or private institution. The participants were asked to self-report their own use of unethical behaviors as well as their peers use of unethical behaviors. In order to assign a severity score for each item, nursing school faculty were asked to rate severity of unethical behaviors which could be used during the nursing student experience and nursing administrators were asked to rate unethical behaviors which could be used in the workplace. A significant positive relationship was found between individuals' use of unethical behaviors during nursing school and those used in the workplace r = .630. A significant positive relationship was found between the severity of unethical behaviors used in the nursing student experience and the severity of unethical behaviors used in the workplace r = .637. No relationship was found between years of practice, type of initial nursing education and whether or not the participant was raised inside or outside the United States and the use of unethical behaviors.

Learning Data-Driven Models of Non-Verbal Behaviors for Building Rapport Using an Intelligent Virtual Agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness. Evidence-based patient-centered Brief Motivational Interviewing (BMI) interven- tions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary. Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems. To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].

Substance Use and Sexual Risk Behaviors among Adolescent Detainees

During the past two decades there has been much research conducted on the relationship between the risky sexual behavior practices and substance use among U.S. adolescents. This body of research has documented the fact that substance use and not using condoms are the most important indicators associated with the risk of becoming infected with sexually transmitted diseases (STD) both among adolescents and adults (Florida Department of Public Health, 2004; Malow, Devieux, Jennings, & Lucenko, 2001; McCoy & Inciardi, 1995). Data from those reports and studies indicate that adolescents and adults who use a condom regularly and appropriately are 20 times less likely to contract an STD than those who do not (Pinkerton & Abramson, 1997). However, less empirical evidence exists about the factors that influence adolescent use of condoms, particularly among adolescents who are detained due to their criminal lifestyle. Researchers have found both a high prevalence of STD in addition to early onset of sexual activity without protection among some adolescent groups such as the detainees (D'angelo & DiClemente, 1996) and that adolescents tend to underestimate their risks of acquiring the human immunodeficiency virus (HIV) (Magura, Shapiro, & Kang, 1994). Many adolescents will experiment with alcohol and other drugs. This behavior may compromise their judgment and increase their chances of engaging in risky sex (Rotheram-Borus, 2000). Hence the need for research that investigates the influence that substance use, risky sexual attitudes, knowledge about the transmission of HIV, and both peer and parental approval of condom use have on the use of condoms among both female and male adolescent detainees. Lastly, it is important for additional research to be conducted because adolescent detainees have been identified as being at high risk of becoming infected with an STD (Malow, Rosemberg, & Devieux, 2006). The purpose of this study was to examine the relationship among adolescent substance use, gender, sexual risk attitude, attitude about personal use of condoms, knowledge associated with the transmission of HIV, peer and family approval of condom use, history of sexually transmitted diseases (STD) and the level of condom use in a sample of adolescents housed in a correctional institution. Further details of the explanatory variables, the control variables and their expected relationships can be found in the review of the Literature in Chapter 2. Also, more information about the separate analysis of the research questions is detailed in the Methods section in Chapter 3. Based on the literature detailed in Chapter 2 (e.g., Malow et al., 2006), the current study’s researcher anticipated that adolescents’ higher levels of illicit drug use would be related to higher levels of sexual risk behaviors, as measured by lower levels of condom use, than their counterparts who used no drugs. Similarly, it was hypothesized that positive attitudes toward condom use and higher levels of HIV risk knowledge would be associated with a lower level of risky sexual behaviors along with a higher level of condom use skill. It was further hypothesized that the level of approval perceived from parents and peers regarding condom use was going to be related to adolescents’ safe sex behavior (i.e., condom use). Therefore, it was expected that participants’ perception of a high level of approval to use condoms from peers and parents would be a statistically significant variable in helping explain the condom use within this sample of adolescent detainees.

The influence of gene environment interaction on the risk of cognitive impairment: Reducing sexual risk behaviors and alcohol use in HIV-infected adults

Memory deficits and executive dysfunction are highly prevalent among HIV-infected adults. These conditions can affect their quality of life, antiretroviral adherence, and HIV risk behaviors. Several factors have been suggested including the role of genetics in relation to HIV disease progression. This dissertation aimed to determine whether genetic differences in HIV-infected individuals were correlated with impaired memory, cognitive flexibility and executive function and whether cognitive decline moderated alcohol use and sexual transmission risk behaviors among HIV-infected alcohol abusers participating in an NIH-funded clinical trial comparing the efficacy of the adapted Holistic Health Recovery Program (HHRP-A) intervention to a Health Promotion Control (HPC) condition in reducing risk behaviors. ^ A total of 267 individuals were genotyped for polymorphisms in the dopamine and serotonin gene systems. Results yielded significant associations for TPH2, GALM, DRD2 and DRD4 genetic variants with impaired executive function, cognitive flexibility and memory. SNPs TPH2 rs4570625 and DRD2 rs6277 showed a risk association with executive function (odds ratio = 2.5, p = .02; 3.6, p = .001). GALM rs6741892 was associated with impaired memory (odds ratio = 1.9, p = .006). At the six-month follow-up, HHRP-A participants were less likely to report trading sex for food, drugs and money (20.0%) and unprotected insertive or receptive oral (11.6%) or vaginal and/or anal sex (3.2%) than HPC participants (49.4%, p^

Effects of Adolescent Depressive Symptoms, Pubertal Development, and Interpersonal Relationship Satisfaction on Sexual Risk Behaviors in Adolescent Romantic Couples

This study examined links between adolescent depressive symptoms, actual pubertal development, perceived pubertal timing relative to one’s peers, adolescent-maternal relationship satisfaction, and couple sexual behavior. Assessments of these variables were made on each couple member separately and then these variables were used to predict the sexual activity of the couple. Participants were drawn from the National Longitudinal Study of Adolescent Health (Add Health; Bearman et al., 1997; Udry, 1997) data set (N = 20,088; aged 12-18 years). Dimensions of adolescent romantic experiences using the total sample were described and then a subsample of romantically paired adolescents (n = 1,252) were used to test a risk and protective model for predicting couple sexual behavior using the factors noted above. Relevant measures from the Wave 1 Add Health measures were used. Most of the items used in Add Health to assess romantic relationship experiences, adolescent depressive symptoms, pubertal development (actual and perceived), adolescent-maternal relationship satisfaction, and couple sexual behavior were drawn from other national surveys or from scales with well documented psychometric properties. Results demonstrated that romantic relationships are part of most adolescents’ lives and that adolescents’ experiences with these relationships differ markedly by age, sex, and race/ethnicity. Further, each respective couple member’s pubertal development, perceived pubertal timing, and maternal relationship satisfaction were useful in predicting sexual risk-promoting and risk-reducing behaviors in adolescent romantic couples. Findings in this dissertation represent an initial step toward evaluating explanatory models of adolescent couple sexual behavior.

Attitudes and behaviors of pre-adolescents with diabetes toward fat -modified foods

Fat modified foods are widely available and have the potential to help individuals with diabetes, including children, achieve a lower total fat and saturated fat intake. Sixty-three pre-adolescents (10-13 years) with insulin-dependent diabetes mellitus (IDDM or Type I), and 60 without diabetes (boys, n=54; girls, n=69) were tested to determine their beliefs and attitudes towards high-fat and reduced-fat foods. In addition, both children and parents were asked about the child's use of low fat foods i.e., how often the parent bought or encouraged their child to eat reduced-fat food; how strongly the doctor or dietitian promoted the use of reduced-fat foods, and the child's concern about dietary fat. In this study, preadolescents with diabetes were not more likely than those without diabetes to use fat-modified foods. Parental and health care practitioner encouragement is associated with greater use of these products by children.

A phenomenological perspective of the lived experiences of Jewish holocaust survivors seeking health care in the United States today

Seven Jewish Holocaust survivors were interviewed using a phenomenological method to determine the essence of the Jewish Holocaust survivor's experience with health care in the United States today. The transcriptions were analyzed using Colaizzi's approach to phenomenological research. This approach includes extraction of significant statements, from the transcriptions, that described the participant's health care behaviors and needs. Formulated meanings of the significant statements were then organized into six themes: Hiding and Avoidance, Self care, Fear/Trust Dichotomy, Security, Luck, and Need for Understanding. These six themes were forms of protection for the participants, which ultimately led to continued survival, the essence of their experience. Knowledge of their experience may direct the nurse in implementing creative and appropriate nursing interventions to provide comfort and assist the survivor with their needs in today's health care arena.

The Influence of Gene Environment Interaction on the Risk of Cognitive Impairment: Reducing Sexual Risk Behaviors and Alcohol Use in HIV-infected Adults

Memory deficits and executive dysfunction are highly prevalent among HIV-infected adults. These conditions can affect their quality of life, antiretroviral adherence, and HIV risk behaviors. Several factors have been suggested including the role of genetics in relation to HIV disease progression. This dissertation aimed to determine whether genetic differences in HIV-infected individuals were correlated with impaired memory, cognitive flexibility and executive function and whether cognitive decline moderated alcohol use and sexual transmission risk behaviors among HIV-infected alcohol abusers participating in an NIH-funded clinical trial comparing the efficacy of the adapted Holistic Health Recovery Program (HHRP-A) intervention to a Health Promotion Control (HPC) condition in reducing risk behaviors. A total of 267 individuals were genotyped for polymorphisms in the dopamine and serotonin gene systems. Results yielded significant associations for TPH2, GALM, DRD2 and DRD4 genetic variants with impaired executive function, cognitive flexibility and memory. SNPs TPH2 rs4570625 and DRD2 rs6277 showed a risk association with executive function (odds ratio = 2.5, p = .02; 3.6, p = .001). GALM rs6741892 was associated with impaired memory (odds ratio = 1.9, p = .006). At the six-month follow-up, HHRP-A participants were less likely to report trading sex for food, drugs and money (20.0%) and unprotected insertive or receptive oral (11.6%) or vaginal and/or anal sex (3.2%) than HPC participants (49.4%, p

Syndemic Health Disparities and Resilience Processes Related to HIV Transmission Risk among African American/Black Men in South Florida

Rates of HIV infection continue to climb among minority populations and men who have sex with men (MSM), with African American/Black MSM being especially impacted. Numerous studies have found HIV transmission risk to be associated with many health and social disparities resulting from larger environmental and structural forces. Using anthropological and social environment-based theories of resilience that focus on individual agency and larger social and environmental structures, this dissertation employed a mixed methods design to investigate resilience processes among African American/Black MSM. Quantitative analyses compared African American/Black (N=108) and Caucasian/White (N=250) MSM who participated in a previously conducted randomized controlled trial (RCT) of sexual and substance use risk reduction interventions. At RCT study entry, using past 90 day recall periods, there were no differences in unprotected sex frequency, however African American/Black MSM reported higher frequencies of days high (P Qualitative data collected among a sub-sample of African American/Black MSM from the RCT (N=21) described the men’s experiences of living with multiple health and social disparities and the importance of RCT study assessments in facilitating reductions in risk behaviors. A cross-case analysis showed different resilience processes undertaken by men who experienced low socioeconomic status, little family support, and homophobia (N=16) compared to those who did not (N=5). The dissertation concludes that resilience processes to HIV transmission risk and related health and social disparities among African American/Black MSM varies and are dependent on specific social environmental factors, including social relationships, structural homophobia, and access to social, economic, and cultural capital. Men define for themselves what it means to be resilient within their social environment. These conclusions suggest that both individual and structural-level resilience-based HIV prevention interventions are needed.

Learning data-driven models of non-verbal behaviors for building rapport using an intelligent virtual agent

There is a growing societal need to address the increasing prevalence of behavioral health issues, such as obesity, alcohol or drug use, and general lack of treatment adherence for a variety of health problems. The statistics, worldwide and in the USA, are daunting. Excessive alcohol use is the third leading preventable cause of death in the United States (with 79,000 deaths annually), and is responsible for a wide range of health and social problems. On the positive side though, these behavioral health issues (and associated possible diseases) can often be prevented with relatively simple lifestyle changes, such as losing weight with a diet and/or physical exercise, or learning how to reduce alcohol consumption. Medicine has therefore started to move toward finding ways of preventively promoting wellness, rather than solely treating already established illness.^ Evidence-based patient-centered Brief Motivational Interviewing (BMI) interventions have been found particularly effective in helping people find intrinsic motivation to change problem behaviors after short counseling sessions, and to maintain healthy lifestyles over the long-term. Lack of locally available personnel well-trained in BMI, however, often limits access to successful interventions for people in need. To fill this accessibility gap, Computer-Based Interventions (CBIs) have started to emerge. Success of the CBIs, however, critically relies on insuring engagement and retention of CBI users so that they remain motivated to use these systems and come back to use them over the long term as necessary.^ Because of their text-only interfaces, current CBIs can therefore only express limited empathy and rapport, which are the most important factors of health interventions. Fortunately, in the last decade, computer science research has progressed in the design of simulated human characters with anthropomorphic communicative abilities. Virtual characters interact using humans’ innate communication modalities, such as facial expressions, body language, speech, and natural language understanding. By advancing research in Artificial Intelligence (AI), we can improve the ability of artificial agents to help us solve CBI problems.^ To facilitate successful communication and social interaction between artificial agents and human partners, it is essential that aspects of human social behavior, especially empathy and rapport, be considered when designing human-computer interfaces. Hence, the goal of the present dissertation is to provide a computational model of rapport to enhance an artificial agent’s social behavior, and to provide an experimental tool for the psychological theories shaping the model. Parts of this thesis were already published in [LYL+12, AYL12, AL13, ALYR13, LAYR13, YALR13, ALY14].^