Demographics of having a gun in the home in Columbia, SC as reported by women primary care patients

Objectives. To determine demographic correlates of having one or more guns in the household of women primary care patients in the southern USA. ^ Methods. All participants in this cross-sectional study were women aged 18-65 who were insured by either Medicaid or a managed care provider and had ever had an intimate sexual relationship with a male partner that lasted at least three months. Prevalence rate ratios and 95% confidence intervals were calculated using stratified analyses for having a gun in the home and the following demographic factors: age, race, educational attainment, marital status, employment status, and alcohol/drug use. ^ Results. Twenty six percent of households had at least one gun and 6.5% had 3 or more guns. The following demographic characteristics of women were associated with having a gun in the household: age (>40) (prevalence rate ratio [PRR] = 1.4; 95% confidence interval [CI] = 1.1–1.8); White race (PRR = 1.89; 95% CI = 1.61–2.27); currently being employed (PRR = 1.72; 95% CI = 1.22–2.44); higher education; and being insured by an HMO (PRR = 1.92; 95% CI = 1.47–2.50). Neither the partner's unemployment nor his substance use was associated with having a gun. While White households were more likely to have a gun, the same correlates of gun ownership held for both White and African-American households; being married or living as married and higher socio-economic status (i.e. HMO insurance and being employed) were strongly correlated with gun in the household. The following were correlated with having multiple guns in the household: White race (p < 0.0001); increased age (p = 0.005); being currently married or living as married (p < 0.0001); and HMO insured status (p < 0.0001). Among those households with at least one gun, White race and married or currently living as married were associated with having 2 or more guns relative to one gun in the household. ^ Conclusions. Currently living with a man and being of higher socio-economic status were strong correlates of household gun ownership among both Whites and African-Americans. Substance use was not associated with household gun ownership. ^

Women physicians' specialty choices

Three hypotheses have been offered to explain the historical specialty selection by women physicians. They are: (1) women choose the specialty for which the training requirements and working conditions interfere least with their commitments to marriage and children; (2) women tend to select the more "feminine" specialties such as pediatrics and psychiatry, and to avoid the "masculine" fields such as surgery; and (3) women have been deliberately excluded from male-dominated fields such as surgery. While the above hypotheses may be true to a greater or lesser degree, none of them has been adequately tested.^ The major study hypotheses are as follows: (1) female physicians' choice of specialty is influenced by the following reasons: (a) family responsibilities; (b) sex role expectations; and (c) sex discrimination; (2) female physicians' choice of specialty is also influenced by their age and ethnicity; and (3) the primary reasons for choosing a given specialty vary by type of specialty.^ The reasons for specialty selection will be explored based on a survey of women graduates of one of the oldest medical schools in the United States, The University of Texas Medical Branch (UTMB) in Galveston, Texas (n = 930). The survey response rate was 75.3% (700 respondents).^ The results for the first study hypothesis showed that fewer than 14% of the respondents agreed that sex role expectations, sex discrimination and family responsibilities played a role in their choice of specialty. Fifty nine percent of the respondents disagreed with the idea that sex role expectations influenced specialty selection and 64% disagreed that family responsibilities had an effect on the selection of their specialty. Around half (49%) were uncertain of the influence of sex discrimination. It was concluded that sex discrimination, sex role expectations and family responsibilities did not have a major impact on specialty selection.^ With respect to the second hypothesis, age was significant in Internal Medicine, Obstetrics/Gynecology and Psychiatry. Women physicians in Internal Medicine and Obstetrics/Gynecology were significantly younger (less than 45 years old) while physicians in Psychiatry were significantly older (45 years or older) than other specialties studied.^ The third hypothesis was confirmed: the reasons for choosing a given specialty varied by specialty.^ Respondents' comments written on the survey provided insight into other possible reasons for specialty selection including exploration of the role of mentoring and job satisfaction.^ The retrospective cross-sectional study design used in this study does not adequately capture the fact that different reasons may be given for the choice of specialty at different points in time, e.g., as the time of choosing a residency program versus several years into the future.^ In conclusion, approaches that explore the range of reasons that women elect to enter and stay within a given specialty must be explored to gain richer understanding of the complex and dynamic nature of women physicians' professional lives. (Abstract shortened by UMI.) ^

Correlates of prenatal care initiation among low -income Hispanic women

Because Hispanic women are even less likely than women of other ethnic groups to receive early prenatal care, the purpose of this study was to identify factors that may influence these women to initiate care. After giving consent, 300 Hispanic women (100 who initiated first trimester care, 100 who initiated second trimester care, and 100 who initiated third trimester care or received no care) were interviewed in the post partum unit of a local public hospital. The interview included recollection of events leading to the first prenatal appointment, including first physical indicators of pregnancy, confirmation of pregnancy, feelings about the pregnancy, appointment making behavior, and system barriers encountered. The Health Belief Model was used as the theoretical framework for determining psychosocial variables. Using this model, perceived susceptibility to problems during pregnancy, perceived seriousness of possible problems, perceived benefits of prenatal care, perceived barriers to care, and cues to action were assessed. Time of entry into prenatal care was assessed by interview.^ In this sample of low-income Hispanic women, a higher perception of barriers to care was associated with later initiation of care and non-use of care, higher perceived benefits of care for the baby were associated with earlier care, especially in women without a card to access hospital district services, and having a card to access hospital district services was associated with earlier care. Several barriers to care were mentioned by women on open-ended questioning including long waiting times, embarrassment, and lack of transportation.^ Recommendations for practice included decreasing the number of visits for low-risk women while increasing the time spent with the provider, decreasing the number of vaginal exams for low-risk women, increasing the use of midwives, training lay workers to do risk assessment, giving specific messages about benefits of care to baby, and increasing general health motivation through community intervention methods. More research on the psychosocial and cultural factors associated with initiation of care is needed. In the meantime, the recommendations for practice can be implemented now to increase the use of prenatal care by low-income Hispanic women. ^

An evaluation of a community-based program for homeless adults with mental disorders and comorbid alcohol drug and mental disorders

Limited research has been conducted evaluating programs that are designed to improve the outcomes of homeless adults with mental disorders and comorbid alcohol, drug and mental disorders. This study conducted such an evaluation in a community-based day treatment setting with clients of the Harris County Mental Health and Mental Retardation Authority's Bristow Clinic. The study population included all clients who received treatment at the clinic for a minimum of six months between January 1, 1995 and August 31, 1996. An electronic database was used to identify clients and to track their program involvement. A profile was developed of the study participants and their level of program involvement included an examination of the amount of time spent in clinical, social and other interventions, the type of interventions encountered and the number of interventions encountered. Results were analyzed to determine whether social, demographic and mental history affected levels of program involvement and the effects of the levels of program involvement on housing status and psychiatric functioning status.^ A total of 101 clients met the inclusion criteria. Of the 101 clients, 96 had a mental disorder, and five had comorbidity. Due to the limited numbers of participants with comorbidity, only those with mental disorders were included in the analysis. The study found the Bristow Clinic population to be primarily single, Black, male, between the ages of 31 and 40 years, and with a gross family income of less than $4,000. There were more persons residing on the streets at entry and at six months following treatment than in any other residential setting. The most prevalent psychiatric diagnoses were depressive disorders and schizophrenia. The Global Assessment of Functioning (GAF) scale which was used to determine the degree of psychiatric functioning revealed a modal GAF score of 31--40 at entry and following six months in treatment. The study found that the majority of clients spent less than 17 hours in treatment, had less than 51 encounters and had clinical, social, and other encounters. In regard to social and demographic factors and levels of program involvement, there were statistically significant associations between gender and ethnicity and the types of interventions encountered as well as the number of interventions encountered. There was also a statistically significant difference between the amount of time spent in clinical interventions and gender. Relative to outcomes measured, the study found female gender to be the only background variable that was significantly associated with improved housing status and the female gender and previous MHMRA involvement to be statistically associated with improvement in GAF score. The total time in other (not clinical or social) interventions and the total number of encounters with other interventions were also significantly associated with improvement in housing outcome. The analysis of previous services and levels of program involvement revealed significant associations between time spent in social and clinical interventions and previous hospitalizations and previous MHMRA involvement.^ Major limitations of this study include the small sample size which may have resulted in very little power to detect differences and the lack of generalizability of findings due to site locations used in the study. Despite these limitations, the study makes an important contribution to the literature by documenting the levels of program involvement and the social and demographic factors necessary to produce outcomes of improved housing status and psychiatric functioning status. ^

Doctor-patient communication in the medical interaction: Context, implications, and practice

Effective communication; whether from an interpersonal, mass media, or global perspective, is a critical component in public health. It is an essential conduit in increasing public awareness of available health resources, potential health hazards and related disease prevention strategies, and in delivering better health care. Within this context, available literature asserts doctor-patient communication as central to healthcare delivery. It has been shown to affect patient health outcomes, satisfaction with care, adherence to treatment recommendations, and even understanding of medical information. While research supports the essential imperative of interventions aimed at teaching doctors and patients the communication skills necessary for a successful and meaningful medical interaction, most interventions to date, focus on teaching these communication skills to doctors and seem to rely, largely, on mass media for providing patients with the information needed to increase communication efficacy. This study sought to fill a significant gap in the doctor-patient communication literature by reviewing the context of the doctor-patient exchange in the medical interaction, the implications of this exchange in resulting care of the patient, and the potential improvements to practice through interventions aimed at improving the communication exchange. Closing with an evaluation of a patient-centered communication intervention, the “How to Talk to Your Doctor” (HTTTYD) program that combines previously identified optimal strategies for improving communication between doctors and patients, this study examined the patients’ perspective of their potential as better communicators in the medical interaction. ^ Specific Aims, Hypotheses or Questions (Aim I) To examine the context of health communication within a public health framework and its relation to health care delivery. (Aim II) To review doctor-patient communication as a central focus within health care delivery and the resulting implications to patient care. (Aim III) To assess the utility of interventions to improve doctor-patient communication. Specifically, to evaluate the effectiveness of a patient-centered community education intervention, the “How to Talk to Your Doctor” (HTTTYD) program, aimed at improving patient communication efficacy.^

Data Accuracy in Medical Record Abstraction

Clinical Research Data Quality Literature Review and Pooled Analysis We present a literature review and secondary analysis of data accuracy in clinical research and related secondary data uses. A total of 93 papers meeting our inclusion criteria were categorized according to the data processing methods. Quantitative data accuracy information was abstracted from the articles and pooled. Our analysis demonstrates that the accuracy associated with data processing methods varies widely, with error rates ranging from 2 errors per 10,000 files to 5019 errors per 10,000 fields. Medical record abstraction was associated with the highest error rates (70–5019 errors per 10,000 fields). Data entered and processed at healthcare facilities had comparable error rates to data processed at central data processing centers. Error rates for data processed with single entry in the presence of on-screen checks were comparable to double entered data. While data processing and cleaning methods may explain a significant amount of the variability in data accuracy, additional factors not resolvable here likely exist. Defining Data Quality for Clinical Research: A Concept Analysis Despite notable previous attempts by experts to define data quality, the concept remains ambiguous and subject to the vagaries of natural language. This current lack of clarity continues to hamper research related to data quality issues. We present a formal concept analysis of data quality, which builds on and synthesizes previously published work. We further posit that discipline-level specificity may be required to achieve the desired definitional clarity. To this end, we combine work from the clinical research domain with findings from the general data quality literature to produce a discipline-specific definition and operationalization for data quality in clinical research. While the results are helpful to clinical research, the methodology of concept analysis may be useful in other fields to clarify data quality attributes and to achieve operational definitions. Medical Record Abstractor’s Perceptions of Factors Impacting the Accuracy of Abstracted Data Medical record abstraction (MRA) is known to be a significant source of data errors in secondary data uses. Factors impacting the accuracy of abstracted data are not reported consistently in the literature. Two Delphi processes were conducted with experienced medical record abstractors to assess abstractor’s perceptions about the factors. The Delphi process identified 9 factors that were not found in the literature, and differed with the literature by 5 factors in the top 25%. The Delphi results refuted seven factors reported in the literature as impacting the quality of abstracted data. The results provide insight into and indicate content validity of a significant number of the factors reported in the literature. Further, the results indicate general consistency between the perceptions of clinical research medical record abstractors and registry and quality improvement abstractors. Distributed Cognition Artifacts on Clinical Research Data Collection Forms Medical record abstraction, a primary mode of data collection in secondary data use, is associated with high error rates. Distributed cognition in medical record abstraction has not been studied as a possible explanation for abstraction errors. We employed the theory of distributed representation and representational analysis to systematically evaluate cognitive demands in medical record abstraction and the extent of external cognitive support employed in a sample of clinical research data collection forms. We show that the cognitive load required for abstraction in 61% of the sampled data elements was high, exceedingly so in 9%. Further, the data collection forms did not support external cognition for the most complex data elements. High working memory demands are a possible explanation for the association of data errors with data elements requiring abstractor interpretation, comparison, mapping or calculation. The representational analysis used here can be used to identify data elements with high cognitive demands.

Cyberbullying and school attachment: An analysis of the 2005-2006 U.S. health behavior in school-aged children (HBSC) study

Despite a lack of consistent research, the possible association between school attachment and cyberbullying suggests that targeting school attachment as a method of increasing help-seeking behaviors may be important in intervention strategies for cyberbullying. The present study sought to fill the gap in current literature by examining cyberbullying and school attachment in a nationally representative sample of U.S. adolescents, grades 6-10 (n=9,227). Results found that negative school attachment was significantly associated with greater odds of cyberbullying victimization (OR=4.71, p<0.001), perpetration (OR=2.95, p<0.001), and cyberbully-victim status (OR=3.38, p<0.001). After adjustment for confounding variables, cyberbullying victimization remained significant (OR=1.90, p=0.002). Overall, the present analyses suggest that higher negative school attachment may be associated with higher frequency of cyberbullying behaviors. These findings provide evidence for an association between school attachment and cyberbullying, and support considerations that improving school attachment may be a potential source of intervention against cyberbullying in an adolescent population.^