PROMIS-29 in rheumatoid arthritis patients who screen positive or negative for fibromyalgia on MDHAQ FAST4 (fibromyalgia assessment screening tool) or 2011 fibromyalgia criteria.

BACKGROUND: PROMIS-29 T-scores query health-related quality of life (HRQL) in 7 domains, physical function, pain, fatigue, anxiety, depression, sleep quality, and social participation, to establish population norms. An MDHAQ (multidimensional health assessment questionnaire) scores these 7 domains and includes medical information such as a FAST4 (fibromyalgia assessment screening tool) index. We analyzed PROMIS-29 T-scores in rheumatoid arthritis (RA) patients vs population norms and for positive vs negative fibromyalgia (FM) screens and compared PROMIS-29 T-scores to MDHAQ scores to assess HRQL. METHODS: A cross-sectional study was performed at one routine visit of 213 RA patients, who completed MDHAQ, PROMIS-29, and reference 2011 FM Criteria. PROMIS-29 T-scores were compared in RA vs population norms and in FM+ vs FM- RA patients, based on MDHAQ/FAST4 and reference criteria. Possible associations between PROMIS-29 T-scores and corresponding MDHAQ scores were analyzed using Spearman correlations and multiple regressions. RESULTS: Median PROMIS-29 T-scores indicated clinically and statistically significantly poorer status in 26-29% FM+ vs FM- RA patients, with larger differences than in RA patients vs population norms for 6/7 domains. MDHAQ scores were correlated significantly with each of 7 corresponding PROMIS-29 domains (|rho|≥0.62, p<0.001). Linear regressions explained 55-73% of PROMIS-29 T-score variation by MDHAQ scores and 56%-70% of MDHAQ score variation by PROMIS-29 T-scores. CONCLUSIONS: Scores for 7 PROMIS-29 domains and MDHAQ were highly correlated. The MDHAQ is effective to assess HRQL and offers incremental medical information, including FAST4 screening. The results indicate the importance of assessing comorbidities such as fibromyalgia screening in interpreting PROMIS-29 T-scores.

Recommendations for cancer screening would be different if we measured endpoints that are valid, reliable, specific, and important to patients.

BACKGROUND: Despite enthusiasm for cancer screening, systematic reviews consistently fail to show that screening reduces all-cause mortality. This narrative review explores conceptual issues, and inconsistencies between evidence and opinion about screening. REVIEW: We examined the interpretation of screening studies in relation to three intellectual traditions: (1) The relationship between prevention and cure; (2) Confirmation bias and the challenge of incorporating new data: less care may produce better outcomes than more care; (3) The answers to three structured questions about efficacy, effectiveness, and value of treatments proposed by Sir Archie Cochrane and Sir Austin Bradford Hill. SYNTHESIS: When considering extensions of life expectancy or all-cause mortality, systematic reviews typically show cancer screening to have only small effects and often non-significant effects on all-cause mortality. Early diagnosis does not assure application of an intervention that alters the pathway toward demise. The interpretation of screening results is also affected by several known biases. Investigators and advocates are encumbered by an over focus on studies designed to determine if a treatment can work under ideal circumstances. To advance the field, we need a greater emphasis on evaluations that ask 'Does the treatment work under real-world conditions?', and 'Is the treatment worth it?' in terms of outcomes that are meaningful to patients.

Association Between HEDIS Performance and Primary Care Physician Age, Group Affiliation, Training, and Participation in ACA Exchanges.

BACKGROUND: There are a limited number of studies investigating the relationship between primary care physician (PCP) characteristics and the quality of care they deliver. OBJECTIVE: To examine the association between PCP performance and physician age, solo versus group affiliation, training, and participation in California's Affordable Care Act (ACA) exchange. DESIGN: Observational study of 2013-2014 data from Healthcare Effectiveness Data and Information Set (HEDIS) measures and select physician characteristics. PARTICIPANTS: PCPs in California HMO and PPO practices (n = 5053) with part of their patient panel covered by a large commercial health insurance company. MAIN MEASURES: Hemoglobin A1c testing; medical attention nephropathy; appropriate treatment hypertension (ACE/ARB); breast cancer screening; proportion days covered by statins; monitoring ACE/ARBs; monitoring diuretics. A composite performance measure also was constructed. KEY RESULTS: For the average 35- versus 75-year-old PCP, regression-adjusted mean composite relative performance scores were at the 60th versus 47th percentile (89% vs. 86% composite absolute HEDIS scores; p < .001). For group versus solo PCPs, scores were at the 55th versus 50th percentiles (88% vs. 87% composite absolute HEDIS scores; p < .001). The effect of age on performance was greater for group versus solo PCPs. There was no association between scores and participation in ACA exchanges. CONCLUSIONS: The associations between population-based care performance measures and PCP age, solo versus group affiliation, training, and participation in ACA exchanges, while statistically significant in some cases, were small. Understanding how to help older PCPs excel equally well in group practice compared with younger PCPs may be a fruitful avenue of future research.

Comparison of Rating Scale, Time Tradeoff, and Conjoint Analysis Methods for Assessment of Preferences in Prostate Cancer.

Background. Conjoint analysis is widely used in studies of consumer preference but has only recently been applied to measure patient utilities for health outcomes. We compared the reliability, feasibility, and internal and predictive validity of conjoint scaling methods against better established rating scale and time tradeoff methods for assessing prostate cancer utilities in men at risk for prostate cancer. Methods. In total, 194 men who were biopsy negative for prostate cancer were randomly assigned to complete 2 preference assessment modules, either conjoint analysis and a rating scale module or conjoint analysis and a time tradeoff module. Each participant's most important attribute was identified and evaluated in relation to age group (age <65, age 65 and older), education (high school, some college, college graduate), race/ethnicity (white, black, Latino), and relationship status (in significant relationship v. not). The methods were also evaluated in terms of ease of use and satisfaction. Results. Rating scales were rated as easiest to use and respondents were more satisfied with rating scales and conjoint in comparison to time tradeoffs. Rating scales and conjoint measures demonstrated significantly higher internal validity compared to time tradeoff when evaluated through R2 of the fitted utility function. The 3 methods were similar in terms of predictive validity, but conjoint analysis outperformed the rating scale method when patients were presented with novel combinations of attribute levels (68% correct v. 43%, P = 0.003). Conclusions. Rating scales and conjoint analysis exercises offer greater ease of use and higher satisfaction when measuring patient preferences in men biopsied for prostate cancer in comparison to time tradeoff exercises. Conjoint analysis may be a more robust approach to preference measurement for men at risk for prostate cancer.

Effects of Mental Health on the Costs of Care for Chronic Illnesses.

OBJECTIVE: The study examined whether comorbid low mental health functioning inflates the cost of treating a chronic disease. METHODS: Data were from the 2015 Medical Expenditure Panel Survey (N=33,893). Costs were estimated from medical records and self-reported health care use. The mental component summary (MCS) score of the 12-item Short Form (SF-12) was used as a measure of mental health status. A general linear model estimated costs with fixed effects for chronic disease (present or absent) and mental health functioning (lowest, middle, and highest MCS score tertiles indicating low, middle, and high levels of mental health functioning, respectively). The SF-12 physical component summary score was a covariate. Eight conditions (arthritis, chronic obstructive pulmonary disease [COPD], high cholesterol, cancer, diabetes, stroke, coronary heart disease, and asthma) were analyzed separately. RESULTS: For each analysis, presence or absence of the chronic condition had a strong impact on cost. Lower mental health functioning also had a significant impact on cost. However, the interaction between mental health functioning and chronic disease diagnoses was statistically significant for only three conditions and accounted for only a small variation in cost. Sensitivity analyses using MCS score as a continuous variable, using a log10 transformation of the cost variable, and focusing only on persons with scores on the extreme low end did not significantly alter the conclusions. CONCLUSIONS: Contrary to expectation, the combination of poor mental functioning and chronic disease diagnosis did not have a strong synergistic effect on cost. Mental and general medical conditions appear to have independent effects on health care costs.

Standards for economic analyses of interventions for the field of health psychology and behavioral medicine.

Behavioral interventions can be offered within a wide range of contexts, including public health, medicine, surgery, physical rehabilitation, nutrition, and other health services. These differing services compete for the same resources and it is difficult to compare their value. Systematic standardized methodologies for valuing outcomes are available and are being applied by economists and health services researchers, but are not widely used in our field. With support from the Society for Health Psychology, the National Cancer Institute (NCI), and the Office for Behavioral and Social Sciences Research (OBSSR) at the National Institutes of Health, two working group meetings were held to consider the use of well-established cost-effectiveness methodologies for the evaluation of behavioral and public health interventions. In this special section, we acknowledge a wide range of variability in terms of behavioral interventions typically delivered in nonclinical versus more traditional clinical settings. Three articles address (1) standardizing methods for conducting cost-effectiveness and cost-utility analyses, (2) providing examples to illustrate progress in applying these methods to evaluate interventions delivered in whole or in part in clinical settings, and (3) providing nonclinical intervention examples selected to highlight the challenges and opportunities for evaluating the cost-effectiveness of interventions in more diverse settings. The ability of our field to communicate cost-effectiveness data to policy makers, employers, and insurers that incorporates implementation costs is central to the likelihood of our interventions being adopted by practitioners and reimbursed by payers. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Providers' advice concerning smoking cessation: Evidence from the Medical Expenditures Panel Survey.

IMPORTANCE AND OBJECTIVE: We estimate how often adult smokers are advised to quit using a nationally representative sample of adults in the United States. DESIGN AND PARTICIPANTS: Data are from the 2012-2013 household component of the United States (US) Medical Expenditures Panel Survey (MEPS). MAIN OUTCOME MEASURE: Current smoking and advice to quit offered by providers. RESULTS: Smoking was reported by 18.26% (CI 17.13%-19.38%) of 2012 MEPS respondents. Less than half of adult smokers (47.24%, CI 44.30%-50.19%) were advised to quit by their physicians although 17.57% (CI 15.37%-19.76%) had not seen a doctor in the last 12months. Advice to quit was given significantly less often to respondents classified as: aged 18-44 (40.29%), men (40.20%), less educated (42.26%), lower family income (43.51%), Hispanic (33.82%), never married (39.55%), and living outside the northeast. Smoking status at year 2 for patients who had received advice to quit was similar (85.13%: SE 1.62%) to those who had seen a physician but were not advised to quit (81.95%: SE 2.05%). Advice to quit smoking was less common than the use of common medical screening tests. CONCLUSIONS AND RELEVANCE: Smoking cessation advice is given to less than half of current cigarette smokers and it is least likely to be given to the most vulnerable populations. Efforts to reduce smoking are deployed less often than other preventive practices. The rate of advice to quit has not changed over the last decade. Health care providers are missing an important opportunity to affect health behaviors and outcomes.

Non-normal Screening Mammography Results, Lumpectomies, and Breast Cancer Reported by California Women, 2001-2009.

BACKGROUND: Although screening mammography may contribute to decreases in breast cancer mortality in a population, it may also increase the risk of false positives, anxiety, and unnecessary and costly medical procedures in individuals. We report trends in self-reported non-normal screening mammography results, lumpectomies, and breast cancer in a representative sample of California women. METHODS: Data were obtained from the 2001, 2005, and 2009 cross-sectional California Health Interview Surveys (CHIS) and weighted to the California population. CHIS employed a multistage sampling design to administer telephone surveys in 6 languages. Our study sample was restricted to women 40 years and older who reported a screening mammogram in the past 2 years. Sample sizes were 13,974 in 2001, 12,069 in 2005, and 15,552 in 2009. Women reporting non-normal results were asked whether they had an operation to remove the lump and, if so, whether the lump was confirmed as malignant. FINDINGS: Between 2001 and 2009, the percent of California women who reported having been diagnosed with breast cancer was relatively stable. For each of the three age groups studied, the percentage of non-normal mammography results increased and the percentages of lumpectomies decreased and, for every woman reporting a diagnosis of breast cancer, three women reported a lumpectomy that turned out not to be cancer. This ratio was greater for younger women and less for older women. CONCLUSIONS: Despite relatively constant rates of breast cancer diagnosis from 2001 to 2009, the percentage of non-normal mammography results increased and lumpectomies declined.

Quality of well-being outcomes in the National Emphysema Treatment Trial.

BACKGROUND: Surgical and medical treatments for emphysema may affect both quality and quantity of life. The purpose of this article is to report outcomes from the National Emphysema Treatment Trial (NETT) using an index that combines quality and quantity of life. METHODS: This was a prospective randomized clinical trial. Following pulmonary rehabilitation, 1,218 patients with severe emphysema were randomly assigned to maximal medical therapy or to lung volume reduction surgery (LVRS). A generic quality-of-life measure, known as the Quality of Well-being Scale (QWB), was administered at baseline and again at 6, 12, 24, 36, 48, 60, and 72 months following treatment assignment. RESULTS: At baseline, QWB scores were comparable for the Medical and LVRS groups. For both groups, scores significantly improved following the rehabilitation program. The QWB scores before death for patients in the LVRS group improved up to the year 2 visit, whereas scores for the Medical group dropped significantly following the baseline visit. Imputing zeros (0) for death, QWB scores decreased significantly for both groups. With or without scoring death as 0, the LVRS group achieved better outcomes, and the significant differences were maintained until the sixth year. Over 6 years of follow-up, LVRS produced an average of 0.30 quality-adjusted life years (QALYs), or the equivalent of about 3.6 months of well life. CONCLUSIONS: Compared with maximal medical therapy alone, patients undergoing maximal medical therapy plus LVRS experienced improved health-related quality of life and gained more QALYs. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT00000606; URL: www.clinicaltrials.gov.

Long-term follow-up of high-risk patients in the National Emphysema Treatment Trial.

BACKGROUND: The National Emphysema Treatment Trial (NETT) was a randomized clinical trial designed to compare lung volume reduction surgery (LVRS) with maximal medical care for patients with severe emphysema. The trial was halted early for a subgroup of patients with severe lung disease. We report longer term follow-up for this high-risk subgroup. METHODS: In a randomized clinical trial, patients with moderate to severe emphysema were assigned to LVRS plus maximal medical care or to maximal medical care alone and followed prospectively for vital status over 15 years. We focus on 140 high-risk patients. Quality of life data were available through 6 years of follow-up and were assessed using the University of California, San Diego Shortness of Breath Questionnaire and the Self-Administered Quality of Well-Being Scale. RESULTS: Through the first 3 years of follow-up, surgical patients in the high-risk subgroup had a significantly higher probability of death. However, the mortality curves crossed and there was a trend favoring surgical treatment through the remainder of the follow-up. The log-rank test suggested that the 2 groups were not significantly different (p=0.95) in survival. Quality of life data suggested an advantage of LVRS through the first 5 years of follow-up (p<0.01). The combined quality-adjusted survival model favored the medical group for the first few years of follow-up and favored the LVRS group after 4 years. CONCLUSIONS: The NETT was stopped early for high-risk patients with severe lung disease. Longer term follow-up suggests that surgical patients in this high-risk subgroup ultimately achieved comparable outcomes. The high risk of death within 30 days of the surgery may discourage use of the procedure for high-risk patients despite the potential for better long-term outcomes.

Screening mammography & breast cancer mortality: meta-analysis of quasi-experimental studies.

BACKGROUND: The magnitude of the benefit associated with screening has been debated. We present a meta-analysis of quasi-experimental studies on the effects of mammography screening. METHODS: We searched MEDLINE/PubMed and Embase for articles published through January 31, 2013. Studies were included if they reported: 1) a population-wide breast cancer screening program using mammography with 5+ years of data post-implementation; 2) a comparison group with equal access to therapies; and 3) breast cancer mortality. Studies excluded were: RCTs, case-control, or simulation studies. We defined quasi-experimental as studies that compared either geographical, historical or birth cohorts with a screening program to an equivalent cohort without a screening program. Meta-analyses were conducted in Stata using the metan command, random effects. Meta-analyses were conducted separately for ages screened: under 50, 50 to 69 and over 70 and weighted by population and person-years. RESULTS: Among 4,903 published papers that were retrieved, 19 studies matched eligibility criteria. Birth cohort studies reported a significant benefit for women screened

The association of religiosity with overweight/obese body mass index among Asian Indian immigrants in California.

OBJECTIVE: The aim of this study was to examine the association between religiosity and overweight or obese body mass index among a multi-religious group of Asian Indian immigrants residing in California. METHODS: We examined cross-sectional survey data obtained from in-language telephone interviews with 3228 mostly immigrant Asian Indians in the 2004 California Asian Indian Tobacco Survey using multivariate logistic regression. RESULTS: High self-identified religiosity was significantly associated with higher BMI after adjusting for socio-demographic and acculturation measures. Highly religious Asian Indians had 1.53 greater odds (95% CI: 1.18, 2.00) of being overweight or obese than low religiosity immigrants, though this varied by religious affiliation. Religiosity was associated with greater odds of being overweight/obese for Hindus (OR 1.54; 95% CI: 1.08, 2.22) and Sikhs (OR 1.88; 95% CI: 1.07, 3.30), but not for Muslims (OR 0.69; 95% CI: 0.28, 1.70). CONCLUSIONS: Religiosity in Hindus and Sikhs, but not immigrant Muslims, appears to be independently associated with greater body mass index among Asian Indians. If this finding is confirmed, future research should identify potentially mutable mechanisms by which religion-specific religiosity affects overweight/obesity risk.

Factors to inform clinicians about the end of life in severe chronic obstructive pulmonary disease.

CONTEXT: Palliative services have historically been offered to terminal patients with cancer, but much less so in other chronic illnesses such as chronic obstructive pulmonary disease (COPD) because of difficulties in predicting the trajectory to death. OBJECTIVES: The goal of this study was to determine if the change over time of the key parameters (trajectory) in patients with severe COPD can independently predict short-term mortality. METHODS: We analyzed data from 1218 patients with severe COPD. Multivariate models for trajectory change were used to forecast mortality at 12 months. RESULTS: Changes in several variables by defined cutpoints increase significantly and independently the odds of dying in 12 months. The earliest and strongest predictors were the decrease in gait speed by 0.14 m/s or six-minute walk by 50 m (odds ratio [OR] 4.40, P<0.0001). Alternatively, if six-minute walk or gait speed were not used, change toward perceiving a very sedentary state using a single question (OR 3.56, P=0.0007) and decrease in maximal inspiratory pressure greater than 11 cmH2O (OR 2.19, P=0.0217) were predictive, followed by change toward feeling upset or downhearted (OR 2.44, P=0.0250), decrease in room air resting partial pressure of oxygen greater than 5 mmHg (OR 2.46, P=0.0156), and increase in room air resting partial pressure of carbon dioxide greater than 3 mmHg (OR 2.8, P=0.0039). Change over time models were more discriminative (higher c-statistics) than change from baseline models. CONCLUSION: The changes in defined variables and patient-reported outcomes by defined cutpoints were independently associated with increased 12-month mortality in patients with severe COPD. These results may inform clinicians when to initiate end-of-life communications and palliative care.

Measuring the impact of cataract surgery on generic and vision-specific quality of life.

PURPOSE: Cataracts are the leading cause of blindness worldwide and cause visual impairment for millions of adults in the United States. We compared the sensitivity of a vision-specific health-related quality of life (HRQOL) measure to that of multiple generic measures of HRQOL before and at 2 time points after cataract surgery. METHODS: Participants completed 1 vision-specific and 5 generic quality of life measures before cataract surgery, and again 1 and 6 months after surgery. Random effects modeling was used to measure changes over the three assessment points. RESULTS: The NEI-VFQ25 total score and all 11 subscales showed significant improvements during the first interval (baseline and 1 month). During the second interval (1-6 months post-surgery), significant improvements were observed on the total score and 5 of 11 NEI-VFQ25 subscales. There were significant increases in HRQOL during the first interval on some preference-based generic HRQOL measures, though changes during the second interval were mostly non-significant. None of the SF-36v2™ or SF6D scales changed significantly between any of the assessment periods. CONCLUSIONS: The NEI-VFQ25 was sensitive to changes in vision-specific domains of QOL. Some preference-based generic HRQOL measures were also sensitive to change and showed convergence with the NEI-VFQ25, but the effects were small. The SF-36v2™ and SF-6D did not change in a similar manner, possibly reflecting a lack of vision-related content. Studies seeking to document both the vision-specific and generic HRQOL improvements of cataract surgery should consider these results when selecting measures.

Agreement about identifying patients who change over time: cautionary results in cataract and heart failure patients.

BACKGROUND: Preference-based measures of health-related quality of life all use the same dead = 0.00 to perfect health = 1.00 scale, but there are substantial differences among measures. OBJECTIVE: The objective was to examine agreement in classifying patients as better, stable, or worse. METHODS: The EQ-5D, Health Utilities Index Mark 2 and Mark 3, Quality of Well-Being-Self-Administered scale, Short-Form 36 (Short-Form 6D), and disease-targeted measures were administered prospectively in 2 clinical cohorts. The study was conducted at academic medical centers: University of California, Los Angeles; University of California, San Diego; University of Wisconsin-Madison; and University of Southern California. Patients undergoing cataract extraction surgery with lens replacement completed the 25-item National Eye Institute Visual Function Questionnaire (NEI-VFQ-25). Patients newly referred to congestive heart failure specialty clinics completed the Minnesota Living with Heart Failure Questionnaire (MLHF). In both cohorts, subjects completed surveys at baseline and at 1 and 6 months. The NEI-VFQ-25 and MLHF were used as gold standards to assign patients to categories of change. Agreement was assessed using κ. RESULTS: There were 376 cataract patients recruited. Complete data for baseline and the 1-month follow-up were available on all measures for 210 cases. Using criteria specified by Altman, agreement was poor for 6 of 9 pairs of comparisons and fair for 3 pairs. There were 160 heart failure patients recruited. Complete data for baseline and the 6-month follow-up were available for 86 cases. Agreement was negligible for 5 pairs and fair for 1. The study was conducted on selected patients at a few academic medical centers. CONCLUSIONS: The results underscore the lack of interchangeability among different preference-based measures.

Estimates of smoking-related property costs in California multiunit housing.

We systematically evaluated smoking-related costs in multiunit housing. From 2008 to 2009, we surveyed California multiunit housing owners or managers on their past-year smoking-related costs and smoke-free policies. A total of 27.1% of respondents had incurred smoking-related costs (mean $4935), and 33.5% reported complete smoke-free policies, which lowered the likelihood of incurring smoking-related costs. Implementing statewide complete smoke-free policies may save multiunit housing property owners $ 18,094,254 annually.

An investigation of the apparent breast cancer epidemic in France: screening and incidence trends in birth cohorts.

BACKGROUND: Official descriptive data from France showed a strong increase in breast-cancer incidence between 1980 to 2005 without a corresponding change in breast-cancer mortality. This study quantifies the part of incidence increase due to secular changes in risk factor exposure and in overdiagnosis due to organised or opportunistic screening. Overdiagnosis was defined as non progressive tumours diagnosed as cancer at histology or progressive cancer that would remain asymptomatic until time of death for another cause. METHODS: Comparison between age-matched cohorts from 1980 to 2005. All women residing in France and born 1911-1915, 1926-1930 and 1941-1945 are included. Sources are official data sets and published French reports on screening by mammography, age and time specific breast-cancer incidence and mortality, hormone replacement therapy, alcohol and obesity. Outcome measures include breast-cancer incidence differences adjusted for changes in risk factor distributions between pairs of age-matched cohorts who had experienced different levels of screening intensity. RESULTS: There was an 8-fold increase in the number of mammography machines operating in France between 1980 and 2000. Opportunistic and organised screening increased over time. In comparison to age-matched cohorts born 15 years earlier, recent cohorts had adjusted incidence proportion over 11 years that were 76% higher [95% confidence limits (CL) 67%, 85%] for women aged 50 to 64 years and 23% higher [95% CL 15%, 31%] for women aged 65 to 79 years. Given that mortality did not change correspondingly, this increase in adjusted 11 year incidence proportion was considered as an estimate of overdiagnosis. CONCLUSIONS: Breast cancer may be overdiagnosed because screening increases diagnosis of slowly progressing non-life threatening cancer and increases misdiagnosis among women without progressive cancer. We suggest that these effects could largely explain the reported "epidemic" of breast cancer in France. Better predictive classification of tumours is needed in order to avoid unnecessary cancer diagnoses and subsequent procedures.