Bone marrow lesions on MRI are strongly associated with the presence of pain in knee osteoarthritis.

The VA outpatients have substantially worse health status than non-VA populations. Mental health differences between the young and old veterans who use the VA health care system are sharply contrasting; the young veterans are sicker, suggesting substantially higher resource needs. Mental health differences may explain much of the worse health-related quality of life in young veterans. As health care systems continue to undergo a radical transformation, the Department of Veterans Affairs should focus on the provision of mental health services for its younger veteran.

Recently, the Veterans Administration (VA) Under Secretary for Health has designated functional status as one of the domains of value for the system, given its increasing importance for clinical care. The Veterans Health Study (VHS) was designed to assist the VA in monitoring outcomes and measuring the case mix of patients who use the VA. The Veterans SF-36 (short form functional status assessment for veterans) was administered to 2425 veterans receiving ambulatory care. Measures of the Veterans SF-36 were strongly correlated with sociodemographics and morbidities of the veterans. Young veterans had poorer mental health status than older veterans. Veterans who used ambulatory care in the VHS reported lower levels of health status, reflecting more disease than a non-VA civilian population. These measures of health are important indicators of the disease burden or case mix of the patients and are pertinent to health systems such as the VA for resource allocation decisions and as outcomes of care.

Role functioning and its limitations due to one's health is an important aspect of health-related quality of life (HRQoL). The Medical Outcomes Study (MOS) SF-36 includes 2 role functioning scales: role limitations due to physical health problems (RP) or emotional problems (RE). Although they capture important concepts of HRQoL, these 2 scales have some limitations in their measurement properties. Using dichotomized sets of response choices, the scales are limited in their distributional properties (eg, higher standard deviation than other SF-36 scales) and ability to discriminate between clinically relevant groups. In this study, we ascertain the improvements to these 2 scales using 5-point ordinal response choices for each of the scale items. Two thousand one hundred sixty-two patients from the Veterans Health Study (VHS), an observational study of health outcomes in patients receiving ambulatory care, completed a health status questionnaire and a medical history. The health questionnaire included (1) the MOS SF-36, in which the RP and RE items used dichotomized yes/no responses; and (2) a set of modified RP and RE items that used 5-response choices for each of the items, ranging from "no, none of the time" to "yes, all of the time." We compared the original and modified RP and RE scales using internal consistency reliability and factor analysis. We tested item convergent and discriminant validity using multitrait scaling, and scale discriminant validity using ordinary least squares regression. Results indicate that the modifications to the original RP and RE scales accomplish important gains in the distributional properties of the scales. The floor and ceiling effects of the 2 scales have been reduced and the reliability of the RP scale has increased (0.87-0.95). Factor analysis and multitrait scaling tests indicate that the modified items have the same interpretation as the original items. Tests of discriminant validity indicate that the modified RP and RE scales have greater explanatory power for measures of disease burden, depression, and disease severity. The modified SF-36 role scales are clearly superior to the original versions. The modifications have increased the explained variability, suggesting greater explanatory power and more information obtained by the role functioning measures. The modified RP and RE are capturing a wider spectrum of disease severity, in part due to the lowering of the floor and raising of the ceiling of the scales. Additional work needs to test these improvements in other populations and to expand the analysis to track the responsiveness of the modified scales to clinically and socially important changes over time.

The objective of the study was to develop a self-reported measure of patients' comorbid illnesses that could be readily administered in ambulatory care settings and that would improve assessment of their health-related quality of life and utilization of health services. Data were analyzed from the Veterans Health Study, an observational study of health outcomes in patients receiving Veterans Administration (VA) ambulatory care. Patients who received ambulatory care services in 4 VA outpatient clinics in the greater Boston area between August 1993 and March 1996 were eligible for inclusion. Among the 4137 patients recruited, 2425 participated in the Veterans Health Study, representing a response rate of 59%. Participants were mailed a health-related quality of life questionnaire, the Medical Outcomes Study Short Form Health Survey (SF-36). They were also scheduled for an in-person interview at which time they completed a medical history questionnaire. We developed a comorbidity index (CI) that included 30 self-reported medical conditions (physical CI) and 6 self-reported mental conditions (mental CI). The physical CI and the mental CI were significantly associated with all SF-36 scales and explained 24% and 36%, respectively, of the variance in the physical component summary and the mental component summary of the SF-36. Both indexes were also significant predictors of future outpatient visits and mortality. The CI is an independent predictor of health status, outpatient visits, and mortality. Its use appears to be a practical approach to case-mix adjustment to account for differences in comorbid illnesses in observational studies of the quality of healthcare. It can be administered to large patient populations at relatively low cost. This method may be particularly valuable for clinicians and researchers interested in population-based studies, case-mix adjustment, and clinical trials.

To profile differences in current physical symptoms and medical conditions among women users of Veterans Administration (VA) health services with and without a self-reported history of sexual assault sustained during military service, we conducted a cross-sectional analysis of a nationally representative, random sample of women veterans using VA outpatient services (n = 3632). A self-administered, mailed survey asked whether women had sustained sexual assault while in the military and requested information about a spectrum of physical symptoms and medical conditions. A history of sexual assault while in the military was reported by 23% of women VA users and was associated with current physical symptoms and medical conditions in every domain assessed. For example, women who reported sexual assault were more likely to indicate that they had a "heart attack" within the past year, even after adjusting for age, hypertension, diabetes, and smoking history (OR 2.3, 95% CI 1.3-4.0). Among women reporting a history of sexual assault while in the military, 26% endorsed > or = 12 of 24 symptoms/conditions, compared with 11% of women with no reported sexual assault while in the military (p < 0.001). Clinicians need to be attuned to the high frequency of sexual assault occurring while in the military reported by women VA users and its associated array of current physical symptoms and medical conditions. Clinicians should consider screening both younger and older patients for a sexual violence history, especially patients with multiple physical symptoms.

Considerable publicity has focused on sexual violence among military women. The authors report the prevalence of military sexual violence and make comparisons among women veterans who report they experienced sexual violence while in the military and those who did not. Data are from the Veterans' Administration (VA) Womens' Health Project, which was designed to assess the health status of women veterans receiving VA ambulatory care. The nationally representative sample (N = 3,632) consists of female veterans who had at least one ambulatory visit at a VA facility between July 1, 1994, and June 30, 1995. More than half (55%) of the women report they were sexually harassed while in the military, and almost one quarter (23%) report they were sexually assaulted. There are differences in sociodemographic characteristics, military experiences, and current health perceptions of women who reported sexual harassment or sexual assault while in the military as compared to those who did not. The prevalence of military sexual harassment and sexual assault is high and screening for sexual assault is important in all women patients given the differences between groups.

Researchers have frequently relied on case identification using clinician-based screening as the standard. This study evaluates a self-administered screening questionnaire developed for use in the Veterans Health Study. We compared concordance between elderly patients' reports of selected chronic illnesses and the medical record. The purpose of this study was to determine the feasibility of using a self-report screening questionnaire for case identification in an outcomes study of elderly respondents. Reports of the presence of selected chronic illnesses were compared in a sample of patients (N=402) receiving outpatient care between 2 data sources, patient self-report and medical record, to determine overall concordance in 5 common chronic conditions (hypertension, adult-onset diabetes mellitus, chronic low-back pain, osteoarthritis of the knee, and chronic lung disease). Discordance between the 2 data sources varied by condition. Differences in reporting were small for diabetes and hypertension, intermediate for chronic lung disease, and larger for osteoarthritis of the knee and chronic low-back pain, where the chart did not identify substantial proportions of cases reported in the questionnaire. Use of patient-reported screening questionnaires, which are self-administered, is a valid, cost-efficient method to identify some chronic illnesses. Using medical records alone may result in underestimation of some symptom-based conditions.