Emotional intimacy predicts condom use: Findings in a group at high STD risk

The aim of this study was to determine the relationship between condom use and emotional intimacy. The study was a gonorrhea case-comparison ('Cases and Places') study with the samples being drawn from the public health clinics (cases) and select bars/nightclubs (places) of Houston, TX (N=215). Data were collected by questionnaires administered on a laptop computer. The majority of respondents were African-American (97.7%), female (69.3%) and either had high school or GED education (72.6%). Condom use with last sexual partner was analyzed along with intimacy with that partner assessed on a 3-point scale. Analysis showed that higher intimacy was related to greater condom use which was significant in males (χ2=7.85, p=.00) but not females (χ2=1.46, p=.15). These data were opposite to previous studies which showed an inverse relationship between condom use and emotional intimacy. We hypothesize that in a high-risk environment, people make more effort to protect those they feel closer to. These data suggest a need to further explore the complex relationship between emotional intimacy and condom use.^

Findings of the University of Texas Health Science Center at San Antonio's Dental School pilot mobile van program in Laredo, Texas

Lack of access to oral health care frequently affects those of lower socio-economic level; individuals in this group experience more dental decay, and the caries experience is more likely to be untreated. Inadequate dental care access may be attributed to exclusion that is due to income, geography, age, race or ethnicity. Objective: The present study aims were to: (1) determine how oral disease prevalence and access to dental services in four US-Mexico Border unincorporated low socioeconomic settlements identified as colonias compare to each other and Laredo, Texas, and (2) determine if insurance status affects dental care access and/or disease prevalence. Methods: A secondary analysis of data from a retrospective chart review of 672 patients attending a Mobile Dental Van Program in the Webb County colonias. Demographic information, (ethnicity, age, gender, insurance coverage and colonia site), dental visits within past year, insurance status, presence of dental sealants, prevalence of untreated dental decay (caries), and presence of gum disease (gingivitis and periodontitis) were extracted. Pearson's chi-square tests (χ2) were computed to compare the prevalence of these outcomes between colonias and Laredo and their potential association with insurance status. Results: For 6 - 11 year olds, dental visits in the past year were lower for colonias (39%), than Laredo (58.5%) (p<0.002). Caries prevalence was higher for colonias (56.6%), than Laredo (37.1%) (p<0.001). Gum disease prevalence was higher in colonias (73%), than in Laredo (21.4%) (p<0.001). No significant differences were noted for caries (χ2=1.73; p<0.188) and gum disease (χ2=0.0098; p<0.921) by patient's insurance status. For adults 36 - 64 years of age, dental visits in the past year were lower in colonias (22.4%), than Laredo (36.3%) (p<0.001). Caries prevalence was higher for colonias (78.3%), than Laredo (54.0%) (p<0.001). Gum disease prevalence was also higher among colonias (91.3%) than Laredo (61.3%) (p<0.001). No significant differences were noted for caries (χ2=0.0010; p<0.975) and gum disease (χ2=0.0607; p<0.805) by patient's insurance status. Conclusion: Colonia residents seeking dental care at a Mobile Dental Van Program in Webb County have significantly higher prevalence of oral disease regardless of insurance status.^

Rules to limit snacking in front of the TV and childhood BMI status: Findings from the "Fun Families Study"

Childhood obesity is increasing at epidemic rates, and thus there is a need to target appropriate childhood behaviors that contribute to obesity. Many factors contribute to childhood weight status. The aim of this study was to look at relationships between parental rules to limit snacking while watching television and childhood weight status. The study looked at the presence of the behavior of snacking while watching television yesterday, congruence between child- and parent-reported perception of the presence of rules to limit snacking while watching television, and parent-reported frequency of children following rules to limit snacking while watching television. The outcomes were examined in a multi-ethnic population of children ages 6 to 9 years in Southeast Texas.^ This study was a cross-sectional secondary data analysis of the pilot program, Fun Families. This study examined baseline data from 202 parent-child dyads, which included both the control ( N= 101) and intervention groups (N= 101). Data were gathered using validated questions that were administered to 6-9 year old children and their primary caregiver (referred to as parent in the rest of the discussion) in Southeast Texas, between 2006 and 2008. The main study outcome was childhood weight status based on CDC BMI-for-age categories. The independent variables are (1) the presence of parental rules to limit snacking while watching television, (2) the congruence between child and parent about the presence of rules to limit snacking while watching television, and (3) the parent-reported frequency of the child following the rules to limit snacking while watching television. Chi-Square analyses were used to determine if weight status was different for (1) children who reported rules to limit snacking yesterday, (2) children who reported snacking, (3) children whose parents reported rules were present, and (4) those who had rule congruence with the parents not. Chi-Square analyses also examined if there was a difference in the presence of snacking behavior for children who reported rules, for children whose parents reported rules, and for those children who had congruence about rules. Linear regressions were used to determine if any of the studied variables predicted increased weight status or reported snacking while watching television yesterday.^ This study found that child-reported snacking yesterday was significantly different for children who reported rules (4.12, p= 0.04). Child-reported rules was significantly associated with (p= -0.14, α= 0.04) and predicted child-reported snacking yesterday (R 2 0.021, p= 0.04, t= -2.04, 95% CI -0.31, -0.01). There was statistical significant incongruence between child and parent perception about the presence of rules to limit snacking yesterday (15.06, p= 0.00). For this population, parent education level was significantly associated with child-reported rules (r= -0.16, p= 0.02), child-reported snacking yesterday (r= -0.15, p= 0.04), and parent-reported frequency of child following rules to limit snacking (r= 0.29, p= -0.01). Parent-reported speaking another language besides English at home was significantly associated with parent-reported rules (r= 0.17, p= 0.02).^ Although the studied variables did not show any significant associations or predictors for childhood weight status, the significant discord between parent and child perception about the presence of rules provides valuable information to future interventions that aim to reduce childhood weight status. Including the creation and enforcement of parental rules in interventions to reduce childhood weight status will be beneficial for future studies.^

MEDICAL CARE UTILIZATION IN TIME AMONG ELDERLY MEDICARE ENROLLEES IN AN HMO

Investigation into the medical care utilization of elderly Medicare enrollees in an HMO (Kaiser - Portland, Oregon): The specific research topics are: (1) The utilization of medical care by selected determinants such as: place of service, type of service, type of appointment, physician status, physician specialty and number of associated morbidities. (2) The attended prevalence of 3 chronic diseases: hypertension, diabetes and arthritis in addition to pneumonias as an example of acute diseases. The selection of these examples was based on their importance in morbidity/or mortality results among the elderly. The share of these diseases in outpatient and inpatient contacts was examined as an example of the relation between morbidity and medical care utilization. (3) The tendency of individual utilization patterns to persist in subsequent time periods. The concept of contagion or proneness was studied in a period of 2 years. Fitting the negative binomial and the Poisson distributions was applied to the utilization in the 2nd year conditional on that in the 1st year as regards outpatient and inpatient contacts.^ The present research is based on a longitudinal study of 20% random sample of elderly Medicare enrollees. The sample size is 1683 individuals during the period from August 1980-December 1982.^ The results of the research were: (1) The distribution of contacts by selected determinants did not reveal a consistent pattern between sexes and age groups. (2) The attended prevalence of hypertension and arthritis showed excess prevalence among females. For diabetes and pneumonias no female excess was noticed. Consistent increased prevalence with increasing age was not detected.^ There were important findings pertaining to the relatively big share of the combined 3 chronic diseases in utilization. They accounted for 20% of male outpatient contacts vs. 25% of female outpatients. For inpatient contacts, they consumed 20% in case of males vs. 24% in case of females. (3) Finding that the negative binomial distribution fit the utilization experience supported the research hypothesis concerning the concept of contagion in utilization. This important finding can be helpful in estimating liability functions needed for forecasting future utilization according to previous experience. Such information has its relevance to organization, administration and planning for medical care in general. (Abstract shortened with permission of author.) ^

Academic medical centers: A framework for strategic repositioning

This study sought to understand the elements affecting the success or failure of strategic repositioning efforts by academic medical centers (AMC). The research question was: What specific elements in the process appear to be most important in determining the success or failure of an AMC.s strategic repositioning? Where success is based on the longterm sustainability of the new position.^ "An organization's strategic position is its perceptual location relative to others" (Gershon, 2003). Hence, strategic repositioning represents a shift from one strategic position within an environment to another (H. Mintzberg, 1987a). A deteriorating value proposition coupled with an unsustainable national health care financing system is forcing AMCs to change their strategic position. Where the value proposition is defined as the health outcome per dollar spent. ^ AMCs are of foundational importance to our health care system. They educate our new physicians, generate significant scientific breakthroughs, and care for our most difficult patients. Yet, their strategic, financial and business acumen leaves them particularly vulnerable in a changing environment. ^ After a literature review revealed limited writing on this subject, the research question was addressed using three separate but parallel exploratory case study inquiries of AMCs that recently underwent a strategic repositioning. Participating in the case studies were the Baylor College of Medicine, the University of Texas M. D. Anderson Cancer Center, and the University of Texas Medical Branch.^ Each case study consisted of two major research segments; a thorough documentation review followed by semi-structured interviews of selected members of their governance board, executive and faculty leadership teams. While each case study.s circumstances varied, their response to the research question, as extracted through thematic coding and analysis of the interviews, had a high degree of commonality.^ The results identified managing the strategic risk surrounding the repositioning and leadership accountability as the two foundational elements of success or failure. Metrics and communication were important process elements. They both play a major role in managing the strategic repositioning risk communication loop. Sustainability, the final element, was the outcome sought.^ Factors leading to strategic repositioning included both internal and external pressures and were primarily financial or mission based. Timing was an important consideration as was the selection of the strategic repositioning endpoint.^ In conclusion, a framework for the strategic repositioning of AMCs was offered that integrates the findings of this study; the elements of success, the factors leading to strategic repositioning, and the risk communication loop. ^

Patient-centered medical home technology effects on hypertension and diabetes control

Background: Hypertension and Diabetes is a public health and economic concern in the United States. The utilization of medical home concepts increases the receipt of preventive services, however, do they also increase adherence to treatments? This study examined the effect of patient-centered medical home technologies such as the electronic health record, clinical support system, and web-based care management in improving health outcomes related to hypertension and diabetes. Methods: A systematic review of the literature used a best evidence synthesis approach to address the general question " Do patient-centered medical home technologies have an effect of diabetes and hypertension treatment?" This was followed by an evaluation of specific examples of the technologies utilized such as computer-assisted recommendations and web-based care management provided by the patient's electronic health record. Ebsco host, Ovid host, and Google Scholar were the databases used to conduct the literature search. Results: The initial search identified over 25 studies based on content and quality that implemented technology interventions to improve communication between provider and patient. After further assessing the articles for risk of bias and study design, 13 randomized controlled studies were chosen. All of the studies chosen were conducted in various primary care settings in both private practices and hospitals between the years 2000 and 2007. The sample sizes of the studies ranged from 42 to 2924 participants. The mean age for all of the studies ranged from 56 to 71 years. The percent women in the studies ranged from one to 78 percent. Over one-third of the studies did not provide the racial composition of the participants. For the seven studies that did provide information about the ethnic composition, 64% of the intervention participants were White. All of the studies utilized some type of web-based or computer-based communication to manage hypertension or diabetes care. Findings on outcomes were mixed, with nine out of 13 studies showing no significant effect on outcomes examined, and four of the studies showing significant and positive impact on health outcomes related to hypertension or diabetes Conclusion: Although the technologies improved patient and provider satisfaction, the outcomes measures such as blood pressure control and glucose control were inconclusive. Further research is needed with diverse ethnic and SES population to investigate the role of patient-centered technologies on hypertension and diabetes control. Also, further research is needed to investigate the effects of innovative medical home technologies that can be used by both patients and providers to increase quality of communication concerning adherence to treatments.^

Professional Social Workers in the Child Welfare Workforce: Findings from NASW

The U.S. Children’s Bureau has historically recognized the significance of the child welfare workforce in improving the lives of children, youth and families, as well as the important role of social work within that workforce. Although the public may perceive the child welfare workforce as being predominantly comprised of social workers; in fact, fewer than half of child welfare workers have a social work degree. This discrepancy has been attributed to professional shortages, workplace conditions, caseload size and complexity, and low salaries. However, studies initiated by the National Association of Social Workers have found that the profession continues to successfully attract new graduates to child welfare practice and that social workers in child welfare enjoy high levels of job satisfaction. These studies also identified factors that contribute to the retention and attrition of social workers in child welfare.

Can Public Child Welfare Help to Prevent Child Maltreatment? Promising Findings from Los Angeles

This article describes promising findings from the Los Angeles County Prevention Initiative Demonstration Project, a systems change approach to developing relationships between public child welfare, allied public agencies, and community-based networks that offer family-centered services, economic assistance and capacity building to support all kinds of families. It describes the conceptual underpinnings and unique structure of the initiative, the evaluation methods used to assess results, and a pattern of promising results.

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.

Understanding and Characterizing Shared Decision-Making and Behavioral Intent in Medical Uncertainty

Applying Theoretical Constructs to Address Medical Uncertainty Situations involving medical reasoning usually include some level of medical uncertainty. Despite the identification of shared decision-making (SDM) as an effective technique, it has been observed that the likelihood of physicians and patients engaging in shared decision making is lower in those situations where it is most needed; specifically in circumstances of medical uncertainty. Having identified shared decision making as an effective, yet often a neglected approach to resolving a lack of information exchange in situations involving medical uncertainty, the next step is to determine the way(s) in which SDM can be integrated and the supplemental processes that may facilitate its integration. SDM involves unique types of communication and relationships between patients and physicians. Therefore, it is necessary to further understand and incorporate human behavioral elements - in particular, behavioral intent - in order to successfully identify and realize the potential benefits of SDM. This paper discusses the background and potential interaction between the theories of shared decision-making, medical uncertainty, and behavioral intent. Identifying Shared Decision-Making Elements in Medical Encounters Dealing with Uncertainty A recent summary of the state of medical knowledge in the U.S. reported that nearly half (47%) of all treatments were of unknown effectiveness, and an additional 7% involved an uncertain tradeoff between benefits and harms. Shared decision-making (SDM) was identified as an effective technique for managing uncertainty when two or more parties were involved. In order to understand which of the elements of SDM are used most frequently and effectively, it is necessary to identify these key elements, and understand how these elements related to each other and the SDM process. The elements identified through the course of the present research were selected from basic principles of the SDM model and the “Data, Information, Knowledge, Wisdom” (DIKW) Hierarchy. The goal of this ethnographic research was to identify which common elements of shared decision-making patients are most often observed applying in the medical encounter. The results of the present study facilitated the understanding of which elements patients were more likely to exhibit during a primary care medical encounter, as well as determining variables of interest leading to more successful shared decision-making practices between patients and their physicians. Understanding Behavioral Intent to Participate in Shared Decision-Making in Medically Uncertain Situations Objective: This article describes the process undertaken to identify and validate behavioral and normative beliefs and behavioral intent of men between the ages of 45-70 with regard to participating in shared decision-making in medically uncertain situations. This article also discusses the preliminary results of the aforementioned processes and explores potential future uses of this information which may facilitate greater understanding, efficiency and effectiveness of doctor-patient consultations.Design: Qualitative Study using deductive content analysisSetting: Individual semi-structure patient interviews were conducted until data saturation was reached. Researchers read the transcripts and developed a list of codes.Subjects: 25 subjects drawn from the Philadelphia community.Measurements: Qualitative indicators were developed to measure respondents’ experiences and beliefs related to behavioral intent to participate in shared decision-making during medical uncertainty. Subjects were also asked to complete the Krantz Health Opinion Survey as a method of triangulation.Results: Several factors were repeatedly described by respondents as being essential to participate in shared decision-making in medical uncertainty. These factors included past experience with medical uncertainty, an individual’s personality, and the relationship between the patient and his physician.Conclusions: The findings of this study led to the development of a category framework that helped understand an individual’s needs and motivational factors in their intent to participate in shared decision-making. The three main categories include 1) an individual’s representation of medically uncertainty, 2) how the individual copes with medical uncertainty, and 3) the individual’s behavioral intent to seek information and participate in shared decision-making during times of medically uncertain situations.

Attitudes and other barriers to the utilization of clinical research findings by American physicians: A systematic review

Background: The Institute of Medicine estimates that only a maximum of 25% of clinical research findings are incorporated into practice by physicians. To improve clinical practice, efforts have been made to promote evidence-based medicine and the use of clinical guidelines. Despite these efforts, the gap between research and clinical practice remains wide.^ Objective: To systematically review the literature describing the factors which influence the use of clinical research recommendations by American physicians.^ Hypothesis: Barriers exist in the application of clinical research into clinical practice, and are multifactorial. The establishment of the Clinical and Translational Awards (CTSA; special federal grants awarded to selected institutions to support clinical and translational research) has reduced the effect of these barriers and improved the process of clinical research translation into practice among American physicians.^ Aims: Identify barriers and facilitators of the use of research findings in clinical practice by American physicians. Contrast studies published six years before and after the creation of the CTSA.^ Methods: The sources of data include published literature from Medline, PubMed and PsycINFO. Selected studies must be qualitative, a survey of American clinicians, based on evidence-based medicine practice, clinical guidelines or treatment pathways. Systematic reviews and reports were excluded, as well as studies with less than 100 respondents.^ Results: In total, 1036 abstracts were reviewed; 115 full text potential articles were identified and reviewed, and a total of 31 studies met all criteria for inclusion in the final review.^ Conclusions: The barriers against the application of clinical research findings, in the forms of clinical guidelines, evidence-based medicine guides and clinical pathways, can be divided broadly into physician barriers, practice/system barriers and patient barriers. Physician barriers are the most common barriers, especially the lack of familiarity with guidelines and the lack of time. Of the factors which improve the use of research based guidelines, physician factors such as younger age, lower duration of clinical practice, specialty training, and practice in large group Health Maintenance Organization (HMO) settings with fewer patients seen were the most commonly cited.^

Estimates of hospital and physician costs of epilepsy in the United States for 1995 comparing the provider -based survey method and a patient -based medical charts and billing method

This investigation compares two different methodologies for calculating the national cost of epilepsy: provider-based survey method (PBSM) and the patient-based medical charts and billing method (PBMC&BM). The PBSM uses the National Hospital Discharge Survey (NHDS), the National Hospital Ambulatory Medical Care Survey (NHAMCS) and the National Ambulatory Medical Care Survey (NAMCS) as the sources of utilization. The PBMC&BM uses patient data, charts and billings, to determine utilization rates for specific components of hospital, physician and drug prescriptions. ^ The 1995 hospital and physician cost of epilepsy is estimated to be $722 million using the PBSM and $1,058 million using the PBMC&BM. The difference of $336 million results from $136 million difference in utilization and $200 million difference in unit cost. ^ Utilization. The utilization difference of $136 million is composed of an inpatient variation of $129 million, $100 million hospital and $29 million physician, and an ambulatory variation of $7 million. The $100 million hospital variance is attributed to inclusion of febrile seizures in the PBSM, $−79 million, and the exclusion of admissions attributed to epilepsy, $179 million. The former suggests that the diagnostic codes used in the NHDS may not properly match the current definition of epilepsy as used in the PBMC&BM. The latter suggests NHDS errors in the attribution of an admission to the principal diagnosis. ^ The $29 million variance in inpatient physician utilization is the result of different per-day-of-care physician visit rates, 1.3 for the PBMC&BM versus 1.0 for the PBSM. The absence of visit frequency measures in the NHDS affects the internal validity of the PBSM estimate and requires the investigator to make conservative assumptions. ^ The remaining ambulatory resource utilization variance is $7 million. Of this amount, $22 million is the result of an underestimate of ancillaries in the NHAMCS and NAMCS extrapolations using the patient visit weight. ^ Unit cost. The resource cost variation is $200 million, inpatient is $22 million and ambulatory is $178 million. The inpatient variation of $22 million is composed of $19 million in hospital per day rates, due to a higher cost per day in the PBMC&BM, and $3 million in physician visit rates, due to a higher cost per visit in the PBMC&BM. ^ The ambulatory cost variance is $178 million, composed of higher per-physician-visit costs of $97 million and higher per-ancillary costs of $81 million. Both are attributed to the PBMC&BM's precise identification of resource utilization that permits accurate valuation. ^ Conclusion. Both methods have specific limitations. The PBSM strengths are its sample designs that lead to nationally representative estimates and permit statistical point and confidence interval estimation for the nation for certain variables under investigation. However, the findings of this investigation suggest the internal validity of the estimates derived is questionable and important additional information required to precisely estimate the cost of an illness is absent. ^ The PBMC&BM is a superior method in identifying resources utilized in the physician encounter with the patient permitting more accurate valuation. However, the PBMC&BM does not have the statistical reliability of the PBSM; it relies on synthesized national prevalence estimates to extrapolate a national cost estimate. While precision is important, the ability to generalize to the nation may be limited due to the small number of patients that are followed. ^