Background
Chronic pain patients increasingly seek treatment through mindfulness meditation.
Purpose
This study aims to synthesize evidence on efficacy and safety of mindfulness meditation ...interventions for the treatment of chronic pain in adults.
Method
We conducted a systematic review on randomized controlled trials (RCTs) with meta-analyses using the Hartung-Knapp-Sidik-Jonkman method for random-effects models. Quality of evidence was assessed using the GRADE approach. Outcomes included pain, depression, quality of life, and analgesic use.
Results
Thirty-eight RCTs met inclusion criteria; seven reported on safety. We found low-quality evidence that mindfulness meditation is associated with a small decrease in pain compared with all types of controls in 30 RCTs. Statistically significant effects were also found for depression symptoms and quality of life.
Conclusions
While mindfulness meditation improves pain and depression symptoms and quality of life, additional well-designed, rigorous, and large-scale RCTs are needed to decisively provide estimates of the efficacy of mindfulness meditation for chronic pain.
Background
Preoperative use of breast magnetic resonance imaging (MRI) in women with breast cancer may increase rates of mastectomy. This study investigated relationships between breast MRI and ...therapeutic and contralateral prophylactic mastectomy (CPM) in women with breast cancer.
Methods
A total of 3606 women diagnosed with stage 0–III breast cancer from 1998 through 2000 (
n
= 1743; early period) or from 2003 through 2005 (
n
= 1863; late period) were retrospectively identified. Patient demographic and clinical characteristics were obtained from our institution’s tumor registry. MRI use in the diagnostic evaluation was obtained from a prospective radiology database. Rates of therapeutic mastectomy, CPM, and associations with breast MRI were compared between the two time periods by multiple logistic regressions controlling for disease stage, age, family history, and calendar year of diagnosis.
Results
A total of 14.2% of women underwent MRI, 29.0% had mastectomy, and 5.3% had CPM. Use of breast MRI increased substantially between the two time periods (4.1% to 23.7%,
P
< 0.001). Mastectomy rates increased from 28% to 30% (
P
> 0.05). The rate of CPM increased by >50% from the early to late period (4.1% to 6.4%,
P
< 0.002). Women who underwent MRI were nearly twice as likely to have CPM (9.2 vs. 4.7%,
P
< 0.001). Multivariate models found MRI was associated with increased rates of CPM for women with stage I or II disease (odds ratio 2.04,
P
= 0.001).
Conclusions
MRI changes the surgical treatment of breast cancer among subsets of women diagnosed with breast cancer, suggesting there are hidden monetary and nonmonetary costs associated with its use.
A descriptive analysis of secondary data.
The aim of this study was to estimate health care costs and opioid use for those with high-impact chronic spinal (back and neck) pain.
The US National Pain ...Strategy introduced a focus on high-impact chronic pain-that is, chronic pain associated with work, social, and self-care restrictions. Chronic neck and low-back pain are common, costly, and associated with long-term opioid use. Although chronic pain is not homogenous, most estimates of its costs are averages that ignore severity (impact).
We used 2003 to 2015 Medical Expenditures Panel Survey (MEPS) data to identify individuals with chronic spinal pain, their health care expenditures, and use of opioids. We developed prediction models to identify those with high- versus moderate- and low-impact chronic spinal pain based on the variables available in MEPS.
We found that overall and spine-related health care costs, and the use and dosage of opioids increased significantly with chronic pain impact levels. Overall and spine-related annual per person health care costs for those with high-impact chronic pain ($14,661 SE: $814; and $5979 SE: $471, respectively) were more than double that of those with low-impact, but still clinically significant, chronic pain ($6371 SE: $557; and $2300 SE: $328). Those with high-impact chronic spinal pain also use spine-related opioids at a rate almost four times that of those with low-impact pain (48.4% vs. 12.4%), and on average use over five times the morphine equivalent daily dose (MEDD) in mg (15.3 SE: 1.4 vs. 2.7 SE: 0.6). Opioid use and dosing increased significantly across years, but the increase in inflation-adjusted health care costs was not statistically significant.
Although most studies of chronic spinal pain do not differentiate participants by the impact of their chronic pain, these estimates highlight the importance of identifying chronic pain levels and focusing on those with high-impact chronic pain.
3.
We tested the relationship between urban or rural residence as defined by rural-urban commuting area codes and risk of mortality in a sample of Medicare beneficiaries with lung cancer.
We used ...Surveillance, Epidemiology, and End Results data linked with Medicare claims to build proportional hazards models. The models tested hypothesized relationships between individual and community characteristics and overall survival for a cohort of Medicare beneficiaries 65 years and older who were diagnosed with lung cancer between 1995 and 1999 (N=26073).
We found no evidence that lung cancer patients in rural areas have poorer survival than those in urban areas. Rather, individual (Medicaid coverage) and regional (lower census tract-level median income) socioeconomic factors and a smaller supply of subspecialists per 10000 individuals 65 years and older were positively associated with a higher risk of mortality.
Although urban versus rural residence did not directly influence survival, rural residents were more likely to live in poorer areas with a smaller supply of health care providers. Therefore, we still need to be aware of rural beneficiaries' potential disadvantage when it comes to receiving needed care in a timely fashion.
Breast cancer outcomes are worse among black women and women of lower socioeconomic status. The purpose of this study was to investigate racial and social differences in selection of breast cancer ...adjuvant chemotherapy regimens.
Detailed information on patient, disease, and treatment factors was collected prospectively on 957 patients who were receiving breast cancer adjuvant chemotherapy in 101 oncology practices throughout the United States. Adjuvant chemotherapy regimens included in any of several published guidelines were considered standard. Receipt of nonstandard regimens was examined according to clinical and nonclinical factors. Differences between groups were assessed using chi2 tests. Multivariate logistic regression was used to identify factors associated with use of nonstandard regimens.
Black race (P = .008), lower educational attainment (P = .003), age 70 years (P = .001), higher stage (P < .0001), insurance type (P = .048), employment status (P = .045), employment type (P = .025), and geographic location (P = .021) were associated with the use of nonstandard regimens in univariate analyses. In multivariate analysis, black race (P = .020), lower educational attainment (P = .024), age > or = 70 years (P = .032), and higher stage (P < .0001) were associated with receipt of nonstandard regimens.
The more frequent use of non-guideline-concordant adjuvant chemotherapy regimens in black women and women with lower educational attainment may contribute to less favorable outcomes in these populations. Addressing such differences in care may improve cancer outcomes in vulnerable populations.
Objective: We conducted a systematic review and meta-analysis that synthesized evidence from randomized controlled trials of meditation interventions to provide estimates of their efficacy and safety ...in treating adults diagnosed with posttraumatic stress disorder (PTSD). This review was based on an established protocol (PROSPERO: CRD42015025782) and is reported according to PRISMA guidelines. Outcomes of interest included PTSD symptoms, depression, anxiety, health-related quality of life, functional status, and adverse events. Method: Meta-analyses were conducted using the Hartung-Knapp-Sidik-Jonkman method for random-effects models. Quality of evidence was assessed using the Grade of Recommendations Assessment, Development, and Evaluation (GRADE) approach. Results: In total, 10 trials on meditation interventions for PTSD with 643 participants met inclusion criteria. Across interventions, adjunctive meditation interventions of mindfulness-based stress reduction, yoga, and the mantram repetition program improve PTSD and depression symptoms compared with control groups, but the findings are based on low and moderate quality of evidence. Effects were positive but not statistically significant for quality of life and anxiety, and no studies addressed functional status. The variety of meditation intervention types, the short follow-up times, and the quality of studies limited analyses. No adverse events were reported in the included studies; only half of the studies reported on safety. Conclusions: Meditation appears to be effective for PTSD and depression symptoms, but in order to increase confidence in findings, more high-quality studies are needed on meditation as adjunctive treatment with PTSD-diagnosed participant samples large enough to detect statistical differences in outcomes.
Frailty is an important predictor of mortality, health care costs and utilization, and health outcomes. Validated measures of frailty are not consistently collected during clinical encounters, making ...comparisons across populations challenging. However, several claims-based algorithms have been developed to predict frailty and related concepts. This study compares performance of three such algorithms among Medicare beneficiaries. Claims data from 12-month continuous enrollment periods were selected during 2014–2016. Frailty scores, calculated using previously developed algorithms from Faurot, Kim, and RAND, were added to baseline regression models to predict claims-based outcomes measured in the following year. Root mean square error and area under the receiver operating characteristic curve were calculated for each model and outcome combination and tested in subpopulations of interest. Overall, Kim models performed best across most outcomes, metrics, and subpopulations. Kim frailty scores may be used by health systems and researchers for risk adjustment or targeting interventions.
Abstract Background Smokers increasingly seek alternative interventions to assist in cessation or reduction efforts. Mindfulness meditation, which facilitates detached observation and paying ...attention to the present moment with openness, curiosity, and acceptance, has recently been studied as a smoking cessation intervention. Aims This review synthesizes randomized controlled trials (RCTs) of mindfulness meditation (MM) interventions for smoking cessation. Methods Five electronic databases were searched from inception to October 2016 to identify English-language RCTs evaluating the efficacy and safety of MM interventions for smoking cessation, reduction, or a decrease in nicotine cravings. Two independent reviewers screened literature using predetermined eligibility criteria, abstracted study-level information, and assessed the quality of included studies. Meta-analyses used the Hartung-Knapp-Sidik-Jonkman method for random-effects models. The quality of evidence was assessed using the GRADE approach. Findings Ten RCTs of MM interventions for tobacco use met inclusion criteria. Intervention duration, intensity, and comparison conditions varied considerably. Studies used diverse comparators such as the American Lung Association's Freedom from Smoking (FFS) program, quitline counseling, interactive learning, or treatment as usual (TAU). Only one RCT was rated as good quality and reported power calculations indicating sufficient statistical power. Publication bias was detected. Overall, mindfulness meditation did not have significant effects on abstinence or cigarettes per day, relative to comparator groups. The small number of studies and heterogeneity in interventions, comparators, and outcomes precluded detecting systematic differences between adjunctive and monotherapy interventions. No serious adverse events were reported. Conclusions MM did not differ significantly from comparator interventions in their effects on tobacco use. Low-quality evidence, variability in study design among the small number of existing studies, and publication bias suggest that additional, high-quality adequately powered RCTs should be conducted.
CMS implemented the Categorical Adjustment Index (CAI) to address measurement bias in the Medicare Advantage (MA) Star Ratings, as unadjusted scores may disadvantage MA contracts serving more ...enrollees at greater social risk. CAI values are added to a contract's Star Ratings to adjust for the mean within-contract performance disparity associated with its percentage of enrollees with low socioeconomic status (ie, receipt of a Part D low-income subsidy or dual eligibility for Medicare and Medicaid LIS/DE) and who are disabled. We examined the CAI's effect on Star Ratings and the type of contracts affected.
Observational study of MA contracts with health and prescription drug coverage.
We compared adjusted and unadjusted 2017-2020 Star Ratings overall and by contracts' proportion of LIS/DE and disabled enrollees. We assessed the CAI's effect on qualifying for quality bonus payments (QBPs), eligibility for rebate payments, and high-performing and low-performing designations.
The CAI's impact was modest overall (3.2%-14.9% of contracts experienced one-half Star Rating changes). Upward changes were concentrated among contracts with high percentages of LIS/DE or disabled enrollees (7.7%-32.3% of these contracts saw increased Star Ratings). In 2020, 26.0% of contracts with a high proportion of LIS/DE or disabled enrollees that qualified for a QBP did so because of the CAI.
The CAI primarily affected contracts with high LIS/DE or disabled enrollment, which received higher Star Ratings because of the CAI. The adjustment helps ensure that such contracts' performance is not understated and reduces incentives for MA contracts to avoid patients at greater social risk.
Functional impairment predicts mortality and health care utilization. However, validated measures of functional impairment are not routinely collected during clinical encounters and are impractical ...to use for large-scale risk-adjustment or targeting interventions. This study’s purpose was to develop and validate claims-based algorithms to predict functional impairment using Medicare Fee-for-Service (FFS) 2014–2017 claims data linked with post-acute care (PAC) assessment data and weighted to better represent the overall Medicare FFS population. Using supervised machine learning, predictors were identified that best predicted two functional impairment outcomes measured in PAC data—any memory limitation and a count of 0–6 activity/mobility limitations. The memory limitation algorithm had moderately high sensitivity and specificity. The activity/mobility limitations algorithm performed well in identifying beneficiaries with five or more limitations, but overall accuracy was poor. This dataset shows promise for use in PAC populations, though generalizability to broader older adult populations remains a challenge.
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