MEASURING THE EFFECT OF ILLNESS ON THE EXPECTED REMAINING SERVICE TIME FOR THE ACTIVE DUTY ARMY: A LIFE TABLE APPROACH

A life table methodology was developed which estimates the expected remaining Army service time and the expected remaining Army sick time by years of service for the United States Army population. A measure of illness impact was defined as the ratio of expected remaining Army sick time to the expected remaining Army service time. The variances of the resulting estimators were developed on the basis of current data. The theory of partial and complete competing risks was considered for each type of decrement (death, administrative separation, and medical separation) and for the causes of sick time.^ The methodology was applied to world-wide U.S. Army data for calendar year 1978. A total of 669,493 enlisted personnel and 97,704 officers were reported on active duty as of 30 September 1978. During calendar year 1978, the Army Medical Department reported 114,647 inpatient discharges and 1,767,146 sick days. Although the methodology is completely general with respect to the definition of sick time, only sick time associated with an inpatient episode was considered in this study.^ Since the temporal measure was years of Army service, an age-adjusting process was applied to the life tables for comparative purposes. Analyses were conducted by rank (enlisted and officer), race and sex, and were based on the ratio of expected remaining Army sick time to expected remaining Army service time. Seventeen major diagnostic groups, classified by the Eighth Revision, International Classification of Diseases, Adapted for Use In The United States, were ranked according to their cumulative (across years of service) contribution to expected remaining sick time.^ The study results indicated that enlisted personnel tend to have more expected hospital-associated sick time relative to their expected Army service time than officers. Non-white officers generally have more expected sick time relative to their expected Army service time than white officers. This racial differential was not supported within the enlisted population. Females tend to have more expected sick time relative to their expected Army service time than males. This tendency remained after diagnostic groups 580-629 (Genitourinary System) and 630-678 (Pregnancy and Childbirth) were removed. Problems associated with the circulatory system, digestive system and musculoskeletal system were among the three leading causes of cumulative sick time across years of service. ^

The illness experience of persons with Parkinson's Disease

Background. Parkinson's disease is a chronic, progressive, age-related, neurodegenerative disorder with no known cause or promising cure. While substantial information is known about the pathophysiology of Parkinson's disease, little is known about the illness experience of persons living with the disease. The purpose of this study was to understand how persons with Parkinson's disease construct their illness experience and manage living with their illness on a daily basis. ^ Method. A qualitative study with an ethnographic approach employed the strategies of participant observations and fieldwork. Field data were generated from a two year exposure to two Parkinson's disease support groups in east Texas. Open-ended semi-structured interviews with seven men and seven women with Parkinson's disease were also conducted. These data were combined and analyzed using thematic analysis. ^ Findings. The illness experience is described through the metaphor "Sailing the Sea in The Eye of the Storm." This metaphor served as the overarching theme that covered the two interacting content themes of the voyage of Daily Negotiations in the Midst of Uncertainty and Reconstruction of the Self with Parkinson's Disease. Daily negotiations incorporated navigating daily activities with the uncertainty of both the progression and daily vicissitudes of the disease. Participants described their symptoms as progressive imprisonment that interfered with daily activities. The progressive nature of the disease required the participants to reconstruct their perceptions of themselves. Reconstructing the self involved the paradoxical balancing of preserving the self while simultaneously releasing aspects of the former self to reconstruct the self with Parkinson's disease. This process was reflected in four exemplars: I Know Me." "It's Still Me," "See Me." and "Remember Me." ^ Conclusions. This qualitative study illuminated the struggle of persons in dealing with the uncertainties and fluctuations of Parkinson's disease and the process of reconstructing their perceptions of themselves. The meaning and reconstruction of the illness experience expressed by participants will inform understanding beyond the disease itself to the illness experience that these participants must deal with on a daily basis. ^

The effects of respiratory ailments and income on depression in a nationally representative sample

Asthma, chronic obstructive pulmonary disorder, sinusitis and hay fever have previously been documented as risk factors for future depression in a wide variety of populations. Likewise, belonging to a higher income category has been found to place a person at risk for any type of depression. This study investigates whether an interactive effect between personal income and the presence of any of the four aforementioned respiratory illnesses contribute to an increased risk for depression. Using the National Health and Nutrition Health Examination Survey cross-sectional survey for 2005-2006, analysis of an interaction term for each illness in the presence of confounding factors such as age, smoking status, past or present diagnosis of diabetes, coronary heart disease and heart attack was made within six distinct racial/ethnic and sex subgroups. Generally, interaction terms were found to be non-significant in nature, except hay fever and COPD where in a few subgroups where the interaction term conferred a protective or risk influence depending on the subgroup analyzed. These findings are discussed in light of potential social costs of having certain respiratory illnesses by individuals in higher income categories and the effect of severity within each illness on the resulting risk or protective effect of the interaction term.^

Baylor History of Medicine Society Schedule 2007-2008

"Medicine: Perspectives in History and Art" (Robert E. Greenspan) Eight Practical Lessons from Osler That Will Better Your Life (Bryan Boutwell) History of the American Mental Hospital: From networking to not working & Back (Ed Fann) Ambiguities and Amputations: Methods, mishaps, and the surgical quest to cure breast cancer (Student Essay Contest Winner) (Matt Luedke) An Automated, Algorithmic, Retrospective Analysis of the Growing Influence of Statistics in Medicine (Student Essay Contest Winner) (Ryan Rochat) What’s Special about William Osler? (Charles S. Bryan) The Virtuous Physician: Lessons from Medical Biography (Charles S. Bryan) Legacy: 50 Years of Loving Care – The History of Texas Children’s Hospital, 1954-2004 (Betsy Parish) The Education of a University President: Edgar Odell Lovett of Rice University (John B. Boles) Artists and Illness: The Effect of Illness on an Artist’s Work (David Bybee)

Assessing fun in serious games: Formative evaluation of games from two diabetes prevention interventions

Purpose. To determine the usability of two video games to prevent type 2 diabetes and obesity among youth through analysis of data collected during alpha-testing. ^ Subjects. Ten children aged 9 to 12 were selected for three 2-hour alpha testing sessions.^ Methods. "Escape from Diab" and "Nanoswarm" were designed to change dietary and physical inactivity behaviors, based on a theoretical framework of mediating variables obtained from social cognitive theory, self-determination theory, elaboration likelihood model, and behavioral inoculation theory. Thirteen mini-games developed by the software company were divided into 3 groups based on completion date. Children tested 4-5 mini-games in each of three sessions. Observed game play was followed by a scripted interview. Results from observation forms and interview transcripts were tabulated and coded to determine usability. Suggestions for game modifications were delivered to the software design firm, and a follow-up table reports rationale for inclusion or exclusion of such modifications.^ Results. Participants were 50% frequent video game players and 20% non game-players. Most (60%) were female. The mean grade (indicating likeability as a subset of usability) across all games given by children was significantly greater than a neutral grade of 80% (89%, p < 0.01), indicating a positive likeability score. The games on average also received positive ratings for fun, helpfulness of instructions and length compared to neutral values (midpoint on likert scales) (all p < 0.01). Observation notes indicated that participants paid attention to the instructions, did not appear to have much difficulty with the games, and were "not frustrated", "not bored", "very engaged", "not fidgety" and "very calm" (all p < 0.01). The primary issues noted in observations and interviews were unclear instructions and unclear purpose of some games. Player suggestions primarily involved ways to make on screen cues more visible or noticeable, instructions more clear, and games more elaborate or difficult.^ Conclusions. The present study highlights the importance of alpha testing video game components for usability prior to completion to enhance usability and likeability. Results indicate that creating clear instructions, making peripheral screen cues more eye-catching or noticeable, and vigorously stating the purpose of the game to improve understandability are important elements. However, future interventions will each present unique materials and user-interfaces and should therefore also be thoroughly alpha-tested. ^

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.

The Impact of a Brief Intervention on Medical Students' Readiness to Screen for DV - Changes in Decisional Balance and Self-Efficacy

Introduction: Domestic violence (DV) affects millions of Americans each year. Yet, there is a dearth of theory-based DV curricula, resulting in physicians unprepared to screen for DV. This study utilized a survey based on constructs from the Transtheoretical Model to assess the readiness of first- and second-year medical students to screen for DV. Information from this survey will be used to help institutionalize DV education into the medical curriculum. [See PDF for complete abstract]