Development and validation of a mental health subscale from the Quality of Well-Being Self-Administered.

PURPOSE: The purpose of this study was to create and validate a mental health subscale for the Quality of Well-Being Self-Administered (QWB-SA). METHODS: The QWB-SA and other measures such as the Profile of Mood States (POMS), Medical Outcomes Study 36 Item Short Form (SF-36), EuroQOL 5D (EQ-5D), and Health Utilities Index Mark 2 (HUI) were administered to three samples: a general population (N = 3,844), a non-psychiatric medical population (N = 535), and a psychiatric population (N = 915). Independent expert ratings of which items represented the construct of mental health were used along with psychometric methods to develop and validate a 10-item QWB-SA mental health scale. RESULTS: The mental health scale demonstrated high internal consistency (Cronbach's alpha = 0.827-0.842) and strong correlations with other measures of mental health, such as the POMS (r = -0.77), mental health scale from the SF-36 (r = 0.72), EQ-5D mood item (r = 0.61), and HUI Emotion Scale (r = 0.59). It was not highly correlated with measures of physical health. Among the psychiatric population, the new mental health scale was moderately correlated with indicators of psychiatric problem severity. CONCLUSIONS: It is now possible to report outcomes and relationships with mental health in studies that use the QWB-SA. This new mental health subscale can also be used with the large volume of previously collected data using the QWB-SA to examine the impact of illnesses and interventions on mental health-related quality of life.

Racial differences in self-rated health diminishing from 1972 to 2008.

In addition to higher morbidity and mortality, Black adults have reported lower self-rated health than White adults. The purpose of this study was to evaluate the diminishing difference in self-rated health between races from 1972 to 2008. Data from 37,936 participants over a 36-year span of the General Social Survey were used to evaluate the effects of race and time on self-rated health. Results confirmed that Black adults reported significantly worse health than White adults. Overall health was rated slightly better across both groups as time went on ([Formula: see text] = .002, P < .0005). However, this increase in health ratings has slowed, even reversing with a decline in health ratings as of late ([Formula: see text] = -.014, P = .001). Significant interactions between race and time indicated that the racial difference on this self-rated health measure has changed over time. The rate of change in the difference has slowed over time ([Formula: see text] = -.010, P = .021), suggesting that the reduction in the racial difference in self-rated health may be decelerating.

Gender differences in adapting driving behavior to accommodate visual health limitations.

This study investigated whether men and women are equally likely to adapt their driving behaviors in response to visual limitations. Participants were 376 (222 women and 154 men) pre-surgical cataract patients from the Shiley Eye Center in La Jolla, California. All participants completed the National Eye Institute Visual Functioning Questionnaire, which assesses self-reported visual symptoms, functional limitations, and behaviors including driving during the day, at night, or in difficult conditions. Visual acuity was assessed using the log of the minimal angle of resolution (LogMAR) scale. There were no significant differences in LogMAR visual acuity between men and women who reported either that they stopped driving at night because of visual impairment or reported having no difficulty driving at night. Of participants who reported having difficulty driving at night, mean weighted LogMAR scores indicated significantly better visual acuity for women than men. There were no significant differences in LogMAR visual acuity between women and men in any of the difficult driving condition categories. Significantly more women than men reported that they stopped driving in difficult conditions because of eyesight, despite the lack of gender differences in visual acuity for this sample. We found no evidence that cataract disease had different effects on the visual acuity of older adult men and women. However, there was a significant difference between genders in self-reported driving behavior. It is possible that some women are more cautious or have less need to drive. However, failing to adapt driving behaviors to accommodate visual limitations may represent a potential behavioral public health risk for men.

The impact of the San Diego wildfires on a general mental health population residing in evacuation areas.

San Diego County Mental Health system clients completed a questionnaire after the October 2007 wildfires. As compared to those not in an evacuation area, those residing in an evacuation area reported significantly more impact of the fires. Clients who evacuated were most affected, followed by those in an evacuation area who did not evacuate. Evacuation strongly impacted client-reported emotional effects of the fire, confusion about whether to evacuate, and ability to obtain medications. Gender and clinical diagnosis interacted with evacuation status for some fire impact variables. Loss of control and disruption of routine are discussed as possibly related factors.

Minimally important differences of the gout impact scale in a randomized controlled trial.

OBJECTIVE: The Gout Impact Scale (GIS) is a gout-specific quality of life instrument that assesses impact of gout during an attack and impact of overall gout. The GIS has five scales and each is scored from 0 to 100 (worse health). Our objective was to assess minimally important differences (MIDs) for the GIS administered in a randomized controlled trial (RCT) assessing rilonacept vs placebo for prevention of gout flares during initiation of allopurinol therapy. METHODS: Trial subjects (n = 83) included those with two or more gout flares (self-reported) in the past year. Of these, 73 had data for Weeks 8 vs 4 and formed the MID analysis group and were analysed irrespective of the treatment assignment. Subjects completed the GIS and seven patient-reported anchors. Subjects with a one-step change (e.g. from very poor to poor) were considered as the MID group for each anchor. The mean change in GIS scores and effect size (ES) was calculated for each anchor's MID group. The average of these created the overall summary MID statistics for each GIS. An ES of 0.2-0.5 was considered to represent MID estimates. Results. Trial subjects (n = 73) were males (96.0%), White (90.4%), with mean age of 50.5 years and serum uric acid of 9.0 mg/dl. The mean change score for the MID improvement group for scales ranged from -5.24 to -7.61 (0-100 scale). The ES for the MID improvement group for the four scales ranged from 0.22 to 0.38. CONCLUSION: The MID estimates for GIS scales are between 5 and 8 points (0-100 scale). This information can aid in interpreting the GIS results in future gout RCTs. Trial Registration. Clinicaltrials.gov, www.clinicaltrials.gov, NCT00610363.

Evaluating a measure of social health derived from two mental health recovery measures: the California Quality of Life (CA-QOL) and Mental Health Statistics Improvement Program Consumer Survey (MHSIP).

Social health is important to measure when assessing outcomes in community mental health. Our objective was to validate social health scales using items from two broader commonly used measures that assess mental health outcomes. Participants were 609 adults receiving psychological treatment services. Items were identified from the California Quality of Life (CA-QOL) and Mental Health Statistics Improvement Program (MHSIP) outcome measures by their conceptual correspondence with social health and compared to the Social Functioning Questionnaire (SFQ) using correlational analyses. Pearson correlations for the identified CA-QOL and MSHIP items with the SFQ ranged from .42 to .62, and the identified scale scores produced Pearson correlation coefficients of .56, .70, and, .70 with the SFQ. Concurrent validity with social health was supported for the identified scales. The current inclusion of these assessment tools allows community mental health programs to include social health in their assessments.

Yoga therapy for military personnel and veterans: Qualitative perspectives of yoga students and instructors.

OBJECTIVE: Millions of military personnel and veterans live with chronic mental and physical health conditions that often do not respond well to pharmacological treatments. Serious side effects and lack of treatment response have led to widespread efforts to study and promote non-pharmacological and behavioral health treatments for many chronic health conditions. Yoga is an increasingly popular mind-body intervention that has growing research support for its efficacy and safety. Our objective was to explore the attitudes, perspectives, and preferences of military personnel and veterans toward yoga as a therapeutic modality, thus providing needed information for designing and promoting yoga interventions for this population. METHODS: Participants included 24 individuals with yoga experience and current or past military service and 12 instructors who have taught yoga for military personnel and/or veterans. A semi-structured set of questions guided interviews with each participant. RESULTS: Five themes emerged from the interviews: (1) mental health benefits experienced from yoga practice; (2) physical health benefits experienced from yoga practice; (3) important yoga elements and conditions that support effective practice; (4) facilitators for engaging military in yoga practice; and (5) challenges and barriers to yoga practice for military. CONCLUSIONS: The study highlights consistent reports of mental and physical benefits of yoga practice, ongoing stigma resulting in the need for combatting and demystifying yoga and other complementary and integrative health (CIH) practices, the importance of designing interventions to address the unique mental health issues and perspectives of this population, and the importance of efforts by military leadership to bring CIH to military personnel and veterans. Rigorous research addressing these findings, along with further research on the efficacy and effectiveness of yoga interventions for treating various conditions are needed.

The Essential Properties of Yoga Questionnaire (EPYQ): Psychometric Properties.

Yoga interventions are heterogeneous and vary along multiple dimensions. These dimensions may affect mental and physical health outcomes in different ways or through different mechanisms. However, most studies of the effects of yoga on health do not adequately describe or quantify the components of the interventions being implemented. This lack of detail prevents researchers from making comparisons across studies and limits our understanding of the relative effects of different aspects of yoga interventions. To address this problem, we developed the Essential Properties of Yoga Questionnaire (EPYQ), which allows researchers to objectively characterize their interventions. We present here the reliability and validity data from the final phases of this measure-development project. Analyses identified fourteen key dimensions of yoga interventions measured by the EPYQ: acceptance/compassion, bandhas, body awareness, breathwork, instructor mention of health benefits, individual attention, meditation and mindfulness, mental and emotional awareness, physicality, active postures, restorative postures, social aspects, spirituality, and yoga philosophy. The EPYQ demonstrated good reliability, as assessed by internal consistency and test-retest reliability analysis, and evidence suggests that the EPYQ is a valid measure of multiple dimensions of yoga. The measure is ready for use by clinicians and researchers. Results indicate that, currently, trained objective raters should score interventions to avoid reference frame errors and potential rating bias, but alternative approaches may be developed. The EPYQ will allow researchers to link specific yoga dimensions to identifiable health outcomes and optimize the design of yoga interventions for specific conditions.

Sociodemographic differences in quality of life in rheumatoid arthritis.

Assessment of health-related quality of life (HR-QOL) in people with rheumatoid arthritis (RA) has become important in health research and can inform clinical care. Many studies have found sociodemographic differences in the HR-QOL of people with RA, and interpreting these differences can be challenging. Biological, health disparity, reporting and assessment instrument differences are a few of the possible explanations that should be considered when interpreting results. Our review of the evidence of sociodemographic differences in HR-QOL in people with RA produced 34 articles describing 49 studies.Typically, patients with RA who were older, female, less educated, non-employed and/or less affluent tended to have significantly lower HR-QOL than other groups. Some evidence also indicated that people with RA who are non-White or who live in rural settings may also tend to have lower HR-QOL scores, but the number of studies supporting these findings was sparse. Researchers and clinicians can optimise their assessment of HR-QOL by finding well validated instruments for the context they are working in. Additional research is needed to identify the exact causes of HR-QOL differences so that quality treatment can be provided to those in need.

Implementation of Integrated Health Homes and Health Outcomes for Persons With Serious Mental Illness in Los Angeles County.

OBJECTIVE: The Medicaid health home option of the Affordable Care Act provides a new opportunity to address the fragmented system of care for persons with serious mental illness. This study examined the implementation of integrated health homes in Los Angeles County. METHODS: Longitudinal data on client-reported physical health status, clinician-reported mental health recovery, and screening for common chronic conditions among 1,941 persons enrolled in integrated care programs for serious mental illness and chronic general medical illness were combined with site visit data measuring the level of integration of general medical and mental health care among ten integrated care programs. Various analyses were used to compare outcomes by level of program integration (generalized estimating equations for physical health status and mental health recovery and logistic regression and chi-square tests for screening for common chronic conditions and clinical risk factors). RESULTS: Clients in more highly integrated programs had greater improvements in physical health status and mental health recovery and higher rates of screening for common chronic conditions compared with clients in less integrated programs. They also had greater reductions in hypertension but a worrisome increase in prediabetes and diabetes. CONCLUSIONS: Highly integrated mental health and general medical programs were associated with greater improvements in health outcomes compared with less integrated programs. Additional research is necessary to identify predictors of integration, to determine which aspects of integration drive improvements in health outcomes, and to identify strategies to increase integration within less integrated programs. Efforts are needed to coordinate pharmacotherapy, including increased consideration of the metabolic effects of antipsychotic medication.

The Essential Properties of Yoga Questionnaire: Development and Methods.

Yoga interventions have considerable heterogeneity, are multi-dimensional, and may impact health in different ways. However, most research reports regarding the effects of yoga on health and wellbeing do not adequately describe the components of the yoga interventions being used. Thus, drawing comparisons across studies or understanding the relative effects of specific aspects of a yoga intervention are rarely possible. To address this problem, we created the Essential Properties of Yoga Questionnaire (EPYQ) Project, an NCCAM-funded set of studies to develop a translational tool for yoga researchers. Here we describe the methods and developmental processes used in the EPYQ Project in detail. The project consists of four main phases. Phase I was designed to gain a comprehensive understanding of the relevant aspects of yoga by conducting a comprehensive systematic literature review and conducting focus groups with stakeholders including a wide variety of yoga teachers and students. In Phase II, a pool of potential questionnaire items was developed for the prototypic questionnaire using information from Phase I. Cognitive interviews were conducted with the preliminary EPYQ items to assess the perceived clarity, meaning, and importance of each item. In Phase III, the prototypic questionnaire was administered to two large samples of yoga students and instructors. Military personnel and veterans who practiced or taught yoga (n = 329) were recruited to participate. Factor analysis and item response theory were used to identify factors and select the final questionnaire items. Phase IV is ongoing and will collect reliability and validity data on the final instrument. Results are expected to be available in 2016. The EPYQ will provide an objective tool for describing the amount of various components of yoga interventions, eventually allowing researchers to link specific yoga components to health benefits, and facilitating the design of yoga interventions for specific health conditions.

Predictors of doctor-rated and patient-rated gout severity: gout impact scales improve assessment.

RATIONALE, AIMS AND OBJECTIVES: Our objective was to describe the factors associated with doctor-rated and patient-rated gout severity to explain how doctor assessment involving patient-reported outcomes can improve the clinical management of gout. METHODS: Patients completed a newly validated gout-specific health-related quality of life instrument, the Gout Impact Scale (GIS) and other questions regarding their gout. Both patients and their doctors gave an overall gout severity assessment. We conducted correlation analyses between each predictor of interest and the two different severity ratings (doctor-rated severity and patient-rated severity). Stepwise multiple regressions were performed to determine the best predictors for doctor-rated and patient-rated severity, respectively. RESULTS: Doctor-rated severity more closely correlated with objective clinical and laboratory findings, particularly the presence of tophi, which was not a leading factor in patient-rated severity assessments. Patient-rated severity more closely correlated with the domains of the GIS, which expressed the impact of gout on health-related quality of life. CONCLUSION: Doctors might have a better understanding of their patients' level of disease impact if they incorporate an instrument such as the GIS in their evaluation of gout severity and their decisions regarding aggressiveness of treatment. The increased use of patient-reported outcomes measures has the potential to improve quality of care and patient satisfaction, as well as reduce costs of health care utilization.