Comparative Performance of Three Claims-Based Frailty Measures Among Medicare Beneficiaries

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.

Understanding the social risk factor adjustment's effect on Star Ratings

OBJECTIVES

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.

STUDY DESIGN

Observational study of MA contracts with health and prescription drug coverage.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Development and Validation of Algorithms to Predict Activity, Mobility, and Memory Limitations Using Medicare Claims and Post-Acute Care Assessments

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.

Imputation of Race and Ethnicity in Health Insurance Marketplace Enrollment Data, 2015-2022 Open Enrollment Periods

Information on the race and ethnicity of individuals enrolled through the HealthCare.gov Health Insurance Marketplace is critical for assessing past enrollment efforts and determining whether outreach campaigns should be modified or tailored moving forward. However, approximately one-third of insurance applicants do not complete the race and Hispanic ethnicity questions on the Marketplace application. When self-reported race and ethnicity information is missing, other information about an individual can be used to infer race and ethnicity, such as surnames, first names, and addresses, with each characteristic contributing meaningfully to the identification of six mutually exclusive racial and ethnic groups: American Indian (AI)/Alaskan Native (AN); Asian American, Native Hawaiian, and Pacific Islander (AANHPI); Black; Hispanic; Multiracial; and White. Surnames are particularly useful for distinguishing people who identify as Hispanic and AANHPI from other racial and ethnic groups. Geocoded address information is particularly useful in distinguishing Black and White individuals who frequently reside in racially segregated neighborhoods. This article presents the results of imputing race and ethnicity for Marketplace enrollees from 2015 through 2022 using the modified Bayesian Improved First Name Surname and Geocoding (BIFSG) method, developed by the RAND Corporation, which uses surnames, first names, and residential addresses to indirectly estimate race and ethnicity.

Visit Frequency and Outcomes for Patients Using Ongoing Chiropractic Care for Chronic Low-Back and Neck Pain: An Observational Longitudinal Study

BACKGROUND

Chronic spinal pain is prevalent and long-lasting. Although provider-based nonpharmacologic therapies, such as chiropractic care, have been recommended, healthcare and coverage policies provide little guidance or evidence regarding long-term use of this care.

OBJECTIVE

To determine the relationships between visit frequency and outcomes for patients using ongoing chiropractic care for chronic spinal pain.

STUDY DESIGN

Observational 3-month longitudinal study.

SETTING

Data collected from patients of 124 chiropractic clinics in 6 United States regions.

METHODS

We examined the impact of visit frequency and patient characteristics on pain (pain 0-10 numeric rating scale) and functional outcomes (Oswestry Disability Index [ODI] for low-back pain and Neck Disability Index [NDI] for neck pain, both 0-100 scale) using hierarchical linear modeling (HLM) in a large national sample of chiropractic patients with chronic low back pain (CLBP) and/or chronic neck pain (CNP). This study was approved by the RAND Human Subjects Protection Committee and registered under ClinicalTrials.gov Identifier: NCT03162952.

RESULTS

One thousand, three hundred, sixty-two patients with CLBP and 1,214 with CNP were included in a series of HLM models. Unconditional (time-only) models showed patients on average had mild pain and function, and significant, but slight improvements in these over the 3-month observation period: back and neck pain decreased by 0.40 and 0.44 points, respectively; function improved by 2.7 (ODI) and 3.0 points (NDI) (all P < 0.001). Adding chiropractic visit frequency to the models revealed that those with worse baseline pain and function used more visits, but only visits more than once per week for those with CLBP were associated with significantly better improvement. These relationships remained when other types of visits and baseline patient characteristics were included.

LIMITATIONS

This is an observational study based on self-reported data from a sample representative of chiropractic patients, but not all patients with CLBP or CNP.

CONCLUSIONS

This 3-month window on chiropractic patients with CLBP and/or CNP revealed that they were improving, although slowly; may have reached maximum therapeutic improvement; and are possibly successfully managing their chronic pain using a variety of chiropractic visit frequencies. These results may inform payers when building coverage policies for ongoing chiropractic care for patients with chronic pain.

Exploring the prevalence and construct validity of high-impact chronic pain across chronic low-back pain study samples

BACKGROUND CONTEXT

The US National Pain Strategy focused attention on high-impact chronic pain and its restrictions. Although many interventions have been studied for chronic low-back pain, results are typically reported for heterogeneous samples. To better understand chronic pain and target interventions to those who most need care, more granular classifications recognizing chronic pain's impact are needed.

PURPOSE

To test whether chronic pain impact levels can be identified in chronic low-back pain clinical trial samples, examine the baseline patient mix across studies, and evaluate the construct validity of high-impact chronic pain.

STUDY DESIGN/SETTING

Descriptive analyses using 12 large study datasets.

PATIENT SAMPLES

Chronic low-back pain patients in nonsurgical, nonpharmacologic trials in the US, Canada, and UK.

OUTCOME MEASURES

Preference-based health utilities from the SF-6D and EQ-5D, employment status and absenteeism.

METHODS

We used two logistic regression models to predict whether patients had high-impact chronic pain and whether the remainder had low- or moderate-impact chronic pain. We developed these models using two datasets. Models with the best predictive power were used to impute impact levels for six other datasets. Stratified by these estimated chronic pain impact levels, we characterized the case mix of patients at baseline in each dataset, and summarized their health-utilities and work productivity. This study was funded by a National Center for Complementary and Integrative Medicine grant. The authors have no potential conflicts of interest.

RESULTS

The logistic models had excellent predictive power to identify those with high-impact chronic pain. Although studies were all of chronic low-back pain patients, the baseline mix of patients varied widely. Across all datasets, utilities, and productivity were similar for those with high-impact chronic pain and worsened as chronic pain impact increased.

CONCLUSIONS

There is a need to better categorize chronic pain patients to allow the targeting of optimal interventions for those with each level of chronic pain impact.

Perspectives on Opportunities and Challenges for Medicare Advantage Plans to Address Social Determinants of Health via the CHRONIC Care Act

There is increasing recognition of the role of social determinants of health (SDOH) in the ability of Medicare Advantage (MA) enrollees to obtain needed care. The 2018 CHRONIC Care Act established Special Supplemental Benefits for the Chronically Ill (SSBCI), which for the first time gives MA plans the flexibility to provide supplemental benefits to enrollees to address SDOH. Given the role of SDOH in chronic disease, this represents an opportunity for MA plans to address underlying issues not strictly health care related with which MA enrollees struggle and that affect their overall health. MA plans have experimented with different approaches to address SDOH but have been limited by the lack of ability to offer services as part of covered benefits and reliance on partnerships, grants, and other funding sources to support the provision of these services. The effect of this policy and how it may evolve before implementation begins in 2020 remains uncertain as we wait to see how MA plans will interpret eligibility criteria and services offered without any additional allotted funding.

The expansion of National Healthcare Safety Network enrollment and reporting in nursing homes: Lessons learned from a national qualitative study

BACKGROUND

This study explored nursing home (NH) personnel perceptions of the National Healthcare Safety Network (NHSN).

METHODS

NHs were purposively sampled based on NHSN enrollment and reporting status, and other facility characteristics. We recruited NH personnel knowledgeable about the facility's decision-making processes and infection prevention program. Interviews were conducted over-the-phone and audio-recorded; transcripts were analyzed using conventional content analysis.

RESULTS

We enrolled 14 NHs across the United States and interviewed 42 personnel. Six themes emerged: Benefits of NHSN, External Support and Motivation, Need for a Champion, Barriers, Risk Adjustment, and Data Integrity. We did not find substantive differences in perceptions of NHSN value related to participants' professional roles or enrollment category. Some participants from newly enrolled NHs felt well supported through the NHSN enrollment process, while participants from earlier enrolled NHs perceived the process to be burdensome. Among participants from non-enrolled NHs, as well as some from enrolled NHs, there was a lack of knowledge of NHSN.

CONCLUSIONS

This qualitative study helps fill a gap in our understanding of barriers and facilitators to NHSN enrollment and reporting in NHs. Improved understanding of factors influencing decision-making processes to enroll in and maintain reporting to NHSN is an important first step towards strengthening infection surveillance in NHs.

Patient Willingness to Pay for Reductions in Chronic Low Back Pain and Chronic Neck Pain

Many recommended nonpharmacologic therapies for patients with chronic spinal pain require visits to providers such as acupuncturists and chiropractors. Little information is available to inform third-party payers' coverage policies regarding ongoing use of these therapies. This study offers contingent valuation-based estimates of patient willingness to pay (WTP) for pain reductions from a large (n = 1,583) sample of patients using ongoing chiropractic care to manage their chronic low back and neck pain. Average WTP estimates were $45.98 (45.8) per month per 1-point reduction in current pain for chronic low back pain and $37.32 (38.0) for chronic neck pain. These estimates met a variety of validity checks including that individuals' values define a downward-sloping demand curve for these services. Comparing these WTP estimates with patients' actual use of chiropractic care over the next 3 months indicates that these patients are likely "buying" perceived pain reductions from what they believe their pain would have been if they didn't see their chiropractor-that is, they value maintenance of their current mild pain levels. These results provide some evidence for copay levels and their relationship to patient demand, but call into question ongoing coverage policies that require the documentation of continued improvement or of experienced clinical deterioration with treatment withdrawal. PERSPECTIVE: This study provides estimates of reported WTP for pain reduction from a large sample of patients using chiropractic care to manage their chronic spinal pain and compares these estimates to what these patients do for care over the next 3 months, to inform coverage policies for ongoing care.

Reducing disparities requires multiple strategies

Disparities in care are a complex issue requiring multiple strategies to solve, including approaches to improve the measurement of quality and reporting stratified performance estimates.

Adjusting Medicare Advantage star ratings for socioeconomic status and disability

OBJECTIVES

Studies have identified potential unintended effects of not adjusting clinical performance measures in value-based purchasing programs for socioeconomic status (SES) factors. We examine the impact of SES and disability adjustments on Medicare Advantage (MA) plans' and prescription drug plans' (PDPs') contract star ratings. These analyses informed the development of the Categorical Adjustment Index (CAI), which CMS implemented with the 2017 star ratings.

STUDY DESIGN

Retrospective analyses of MA and PDP performance using 2012 Medicare beneficiary-level characteristics and performance data from the Star Rating Program.

METHODS

We modeled within-contract associations of beneficiary SES (Medicaid and Medicare dual eligibility [DE] or receipt of a low-income subsidy [LIS]) and disability with performance on 16 clinical measures. We estimated variability in contract-level DE/LIS and disability disparities using mixed-effects regression models. We simulated the impact of applying the CAI to adjust star ratings for DE/LIS and disability to construct the 2017 star ratings.

RESULTS

DE/LIS was negatively associated with performance for 12 of 16 measures and positively associated for 2 of 16 measures. Disability was negatively associated with performance for 11 of 15 measures and positively associated for 3 of 15 measures. Adjusting star ratings using the CAI resulted in half-star rating increases for 8.5% of MA and 33.3% of PDP contracts that exceeded 50% DE/LIS beneficiaries.

CONCLUSIONS

Increases in star ratings following adjustment of clinical performance for SES and disability using the CAI focused on contracts with higher percentages of DE/LIS beneficiaries. Adjustment for enrollee characteristics may improve the accuracy of quality measurement and remove incentives for providers to avoid caring for more challenging patient populations.

Characteristics of Chiropractic Patients Being Treated for Chronic Low Back and Neck Pain

OBJECTIVES

Chronic low back pain (CLBP) and chronic neck pain (CNP) are the most common types of chronic pain, and chiropractic spinal manipulation is a common nonpharmacologic treatment. This study presents the characteristics of a large United States sample of chiropractic patients with CLBP and CNP.

METHODS

Data were collected from chiropractic patients using multistage systematic stratified sampling with 4 sampling levels: regions and states, sites (ie, metropolitan areas), providers and clinics, and patients. The sites and regions were San Diego, California; Tampa, Florida; Minneapolis, Minnesota; Seneca Falls and Upstate New York; Portland, Oregon; and Dallas, Texas. Data were collected from patients through an iPad-based prescreening questionnaire in the clinic and emailed links to full screening and baseline online questionnaires. The goal was 20 providers or clinics and 7 patients with CLBP and 7 with CNP from each clinic.

RESULTS

We had 6342 patients at 125 clinics complete the prescreening questionnaire, 3333 patients start the full screening questionnaire, and 2024 eligible patients completed the baseline questionnaire: 518 with CLBP only, 347 with CNP only, and 1159 with both. In general, most of this sample were highly-educated, non-Hispanic, white females with at least partial insurance coverage for chiropractic care who have been in pain and using chiropractic care for years. Over 90% reported high satisfaction with their care, few used narcotics, and avoiding surgery was the most important reason they chose chiropractic care.

CONCLUSIONS

Given the prevalence of CLBP and CNP, the need to find effective nonpharmacologic alternatives for chronic pain, and the satisfaction these patients found with their care, further study of these patients is worthwhile.

Mindfulness Meditation for Chronic Pain: Systematic Review and Meta-analysis

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.

Does a quality improvement campaign accelerate take-up of new evidence? A ten-state cluster-randomized controlled trial of the IHI's Project JOINTS

Background

A decade ago, the Institute for Healthcare Improvement pioneered a quality improvement (QI) campaign, leveraging organizational and personal social networks to disseminate new practices. There have been few rigorous studies of the QI campaign approach.

Methods

Project JOINTS (Joining Organizations IN Tackling SSIs) engaged a network of state-based organizations and professionals in a 6-month QI campaign promoting adherence to three new evidence-based practices known to reduce the risk of infection after joint replacement. We conducted a cluster-randomized trial including ten states (five campaign states and five non-campaign states) with 188 hospitals providing joint replacement to Medicare. We measured adherence to the evidence-based practices before and after the campaign using a survey of surgical staff and a difference-in-difference design with multivariable adjustment to compare adherence to each of the relevant practices and an all-or-none composite measure of the three new practices.

Results

In the campaign states, there were statistically significant increases in adherence to the three new evidence-based practices promoted by the campaign. Compared to the non-campaign states, the relative increase in adherence to the three new practices in the campaign states ranged between 1.9 and 15.9 percentage points, but only one of these changes (pre-operative nasal screening for Staphylococcus aureus carriage and decolonization prior to surgery) was statistically significant (p < 0.05). On the all-or-none composite measure, adherence to all three evidence-based practices increased from 19.6 to 37.9% in the campaign states, but declined slightly in the comparison states, yielding a relative increase of 23 percentage points (p = 0.004). In the non-campaign states, changes in adherence were not statistically significant.

Conclusions

Within 6 months, in a cluster-randomized trial, a multi-state campaign targeting hospitals and professionals involved in surgical care and infection control was associated with an increase in adherence to evidence-based practices that can reduce surgical site infection.

Electronic supplementary material

The online version of this article (doi:10.1186/s13012-017-0579-7) contains supplementary material, which is available to authorized users.

Introducing Value-Based Purchasing into TRICARE Reform

TRICARE, the health benefits program created for beneficiaries of the U.S. Department of Defense, covers health care provided in military treatment facilities and by civilian providers. Congress is now considering how to update TRICARE, which was first developed in the 1980s drawing on managed care concepts from civilian health plans. This article places TRICARE's current managed care strategy in historical context and describes recent innovations by private insurers and Medicare intended to enhance the value---cost and quality---of the care they purchase for their members. With this movement toward value-based purchasing as background, the authors evaluate two existing proposals for reform and describe an alternative approach that blends the existing proposals.

A systematic review of St. John's wort for major depressive disorder

BACKGROUND

This systematic review evaluated St. John's wort (SJW) for the treatment of Major Depressive Disorder (MDD). The objectives of this review are to (1) evaluate the efficacy and safety of SJW in adults with MDD compared to placebo and active comparator and (2) evaluate whether the effects vary by severity of MDD.

METHODS

We searched PubMed, CINAHL, PsycINFO, CENTRAL, Embase, AMED, MANTIS, Web of Science, and ICTRP and existing reviews to November 2014. Two independent reviewers screened the citations, abstracted the data, and assessed the risk of bias. We included randomized controlled trials (RCTs) examining the effect of at least a 4-week administration of SJW on depression outcomes against placebo or active comparator in adults with MDD. Risk of bias was assessed using the Cochrane Risk of Bias tool and USPSTF criteria. Quality of evidence (QoE) was assessed using the GRADE approach.

RESULTS

Thirty-five studies examining 6993 patients met inclusion criteria; eight studies evaluated a hypericum extract that combined 0.3 % hypericin and 1-4 % hyperforin. The herb SJW was associated with more treatment responders than placebo (relative risk [RR] 1.53; 95 % confidence interval [CI] 1.19, 1.97; I(2) 79 %; 18 RCTs; N = 2922, moderate QoE; standardized mean differences [SMD] 0.49; CI 0.23, 0.74; 16 RCTs; I(2) 89 %, N = 2888, moderate QoE). Compared to antidepressants, SJW participants were less likely to experience adverse events (OR 0.67; CI 0.56, 0.81; 11 RCTs; moderate QoE) with no difference in treatment effectiveness (RR 1.01; CI 0.90, 1.14; 17 RCTs, I(2) 52 %, moderate QoE; SMD -0.03; CI -0.21, 0.15; 14 RCTs; I(2) 74 %; N = 2248, moderate QoE) in mild and moderate depression.

CONCLUSIONS

SJW monotherapy for mild and moderate depression is superior to placebo in improving depression symptoms and not significantly different from antidepressant medication. However, evidence of heterogeneity and a lack of research on severe depression reduce the quality of the evidence. Adverse events reported in RCTs were comparable to placebo and fewer compared with antidepressants. However, assessments were limited due to poor reporting of adverse events and studies were not designed to assess rare events. Consequently, the findings should be interpreted with caution.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42015016406 .

Meditation for posttraumatic stress: Systematic review and meta-analysis

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. (PsycINFO Database Record

St. John's Wort for Major Depressive Disorder: A Systematic Review

RAND researchers conducted a systematic review that synthesized evidence from randomized controlled trials of St. John's wort (SJW)-used adjunctively or as monotherapy-to provide estimates of its efficacy and safety in treating adults with major depressive disorder. Outcomes of interest included changes in depressive symptomatology, quality of life, and adverse effects. Efficacy meta-analyses used the Hartung-Knapp-Sidik-Jonkman method for random-effects models. Quality of evidence was assessed using the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach. In total, 35 studies met inclusion criteria. There is moderate evidence, due to unexplained heterogeneity between studies, that depression improvement based on the number of treatment responders and depression scale scores favors SJW over placebo, and results are comparable to antidepressants. The existing evidence is based on studies testing SJW as monotherapy; there is a lack of evidence for SJW given as adjunct therapy to standard antidepressant therapy. We found no systematic difference between SJW extracts, but head-to-head trials are missing; LI 160 (0.3% hypericin, 1-4% hyperforin) was the extract with the greatest number of studies. Only two trials assessed quality of life. SJW adverse events reported in included trials were comparable to placebo, and were fewer compared with antidepressant medication; however, adverse event assessments were limited, and thus we have limited confidence in this conclusion.

Acupuncture for Major Depressive Disorder: A Systematic Review

Major depressive disorder (MDD) is a prevalent condition associated with significant burden in terms of reduced quality of life, lower productivity, increased prevalence of other conditions and increased health care costs. We conducted a systematic review and qualitative summary of randomized controlled trials (RCTs) that assessed the effectiveness and safety of acupuncture for the treatment of MDD. We searched the databases PubMed, CINAHL, PsycINFO, Web of Science, Embase, CDSR, CENTRAL, clinicaltrials.gov, DARE, and PILOTS for English-language RCTs published through January 2015. Two independent reviewers screened the identified literature against inclusion and exclusion criteria, abstracted study level data, and assessed the risk of bias and methodological quality of included studies. The quality of the evidence was assessed using GRADE. Eighteen studies met inclusion criteria. Eleven assessed acupuncture as monotherapy, seven as adjunct depression treatment. Intervention approaches and comparators varied. Evidence on the effectiveness and comparative effectiveness of acupuncture to treat MDD for the outcomes depression improvement, measured as scale score differences and the number of responders, is very weak. Acupuncture may be superior to waitlist (low quality of evidence) but findings for effect estimates compared to other comparators are inconclusive. Few studies reported on patients achieving remission. The effect of acupuncture on relapse rates could not be determined. Too few studies assessed quality of life to estimate treatment effects. Reported adverse events were typically mild in nature, but the assessment lacked rigor and studies were not designed to detect rare events.

The Quality of Medication Treatment for Mental Disorders in the Department of Veterans Affairs and in Private-Sector Plans

OBJECTIVE

The quality of mental health care provided by the U.S. Department of Veterans Affairs (VA) was compared with care provided to a comparable population treated in the private sector.

METHODS

Two cohorts of individuals with mental disorders (schizophrenia, bipolar disorder, posttraumatic stress disorder, major depression, and substance use disorders) were created with VA administrative data (N=836,519) and MarketScan data (N=545,484). The authors computed VA and MarketScan national means for seven process-based quality measures related to medication evaluation and management and estimated national-level performance by age and gender.

RESULTS

In every case, VA performance was superior to that of the private sector by more than 30%. Compared with individuals in private plans, veterans with schizophrenia or major depression were more than twice as likely to receive appropriate initial medication treatment, and veterans with depression were more than twice as likely to receive appropriate long-term treatment.

CONCLUSIONS

Findings demonstrate the significant advantages that accrue from an organized, nationwide system of care. The much higher performance of the VA has important clinical and policy implications.

Measuring Success in Health Care Value-Based Purchasing Programs: Findings from an Environmental Scan, Literature Review, and Expert Panel Discussions

Value-based purchasing (VBP) refers to a broad set of performance-based payment strategies that link financial incentives to health care providers' performance on a set of defined measures in an effort to achieve better value. The U.S. Department of Health and Human Services is advancing the implementation of VBP across an array of health care settings in the Medicare program in response to requirements in the 2010 Patient Protection and Affordable Care Act, and policymakers are grappling with many decisions about how best to design and implement VBP programs so that they are successful in achieving stated goals. This article summarizes the current state of knowledge about VBP based on a review of the published literature, a review of publicly available documentation from VBP programs, and discussions with an expert panel composed of VBP program sponsors, health care providers and health systems, and academic researchers with VBP evaluation expertise. Three types of VBP models were the focus of the review: (1) pay-for-performance programs, (2) accountable care organizations, and (3) bundled payment programs. The authors report on VBP program goals and what constitutes success; the evidence on the impact of these programs; factors that characterize high- and low-performing providers in VBP programs; the measures, incentive structures, and benchmarks used by VBP programs; evidence on spillover effects and unintended consequences; and gaps in the knowledge base.

Adjuvant chemotherapy dosing in low-income women: the impact of Hispanic ethnicity and patient self-efficacy

Unwarranted breast cancer adjuvant chemotherapy dose reductions have been documented in black women, women of lower socioeconomic status, and those who are obese. No information on the quality of chemotherapy is available in Hispanic women. The purpose of this study was to characterize factors associated with first cycle chemotherapy dose selection in a multi-ethnic sample of low-income women receiving chemotherapy through the Breast and Cervical Cancer Prevention Treatment Program (BCCPT) and to investigate the impact of Hispanic ethnicity and patient self-efficacy on adjuvant chemotherapy dose selection. Survey and chemotherapy information were obtained from consenting participants enrolled in the California BCCPT. Analyses identified clinical and non-clinical factors associated with first cycle chemotherapy doses less than 90 % of expected doses. Of 552 patients who received chemotherapy, 397 (72 %) were eligible for inclusion. First cycle dose reductions were given to 14 % of the sample. In multivariate analyses, increasing body mass index and non-academic treatment site were associated with doses below 90 % of the expected doses. No other clinical or non-clinical factors, including ethnicity, were associated with first cycle doses selection. In this universally low-income sample, we identified no association between Hispanic ethnicity and other non-clinical patient factors, including patient self-efficacy, in chemotherapy dose selection. As seen in other studies, obesity was associated with systematic dose limits. The guidelines on chemotherapy dose selection in the obese may help address such dose reductions. A greater understanding of the association between type of treatment site and dose selection is warranted. Overall, access to adequate health care allows the vast majority of low-income women with breast cancer to receive high-quality breast cancer chemotherapy.

CMS Innovation Center Health Care Innovation Awards: Evaluation Plan

The Center for Medicare and Medicaid Innovation within the Centers for Medicare & Medicaid Services (CMS) has funded 108 Health Care Innovation Awards, funded through the Affordable Care Act, for applicants who proposed compelling new models of service delivery or payment improvements that promise to deliver better health, better health care, and lower costs through improved quality of care for Medicare, Medicaid, and Children's Health Insurance Program enrollees. CMS is also interested in learning how new models would affect subpopulations of beneficiaries (e.g., those eligible for Medicare and Medicaid and complex patients) who have unique characteristics or health care needs that could be related to poor outcomes. In addition, the initiative seeks to identify new models of workforce development and deployment, as well as models that can be rapidly deployed and have the promise of sustainability. This article describes a strategy for evaluating the results. The goal for the evaluation design process is to create standardized approaches for answering key questions that can be customized to similar groups of awardees and that allow for rapid and comparable assessment across awardees. The evaluation plan envisions that data collection and analysis will be carried out on three levels: at the level of the individual awardee, at the level of the awardee grouping, and as a summary evaluation that includes all awardees. Key dimensions for the evaluation framework include implementation effectiveness, program effectiveness, workforce issues, impact on priority populations, and context. The ultimate goal is to identify strategies that can be employed widely to lower cost while improving care.

An Evaluation of the Use of Performance Measures in Health Care

The National Quality Forum (NQF), a private, nonprofit membership organization committed to improving health care quality performance measurement and reporting, was awarded a contract with the U.S. Department of Health and Human Services (HHS) to establish a portfolio of quality and efficiency measures. The portfolio of measures would allow the federal government to examine how and whether health care spending is achieving the best results for patients and taxpayers. As part of the scope of work under the HHS contract, NQF was required to conduct an independent evaluation of the uses of NQF-endorsed measures for the purposes of accountability (e.g., public reporting, payment, accreditation, certification) and quality improvement. In September 2010, NQF entered into a contract with the RAND Corporation for RAND to serve as the independent evaluator. This article presents the results of the evaluation study. It describes how performance measures are being used by a wide array of organizations and the types of measures being used for different purposes, summarizes key barriers and facilitators to the use of measures, and identifies opportunities for easing the use of performance measures moving forward.

Are geriatricians more efficient than other physicians at managing inpatient care for elderly patients?

OBJECTIVES

To compare outcomes and measures of efficiency for hospitalized elderly adults managed by geriatricians with those managed by other physicians.

DESIGN

Secondary data analysis using a system that integrates clinical and financial information for inpatient and outpatient services delivered throughout the University of Pittsburgh Medical Center (UPMC). Propensity scores were developed based on participant sociodemographic and clinical characteristics and used to match participants based on the attending physician's specialty (geriatrician, n = 701; nongeriatrician, n = 11,549). Multivariate analyses using generalized estimating equations methods were performed.

SETTING

Two UPMC hospitals in Pittsburgh, Pennsylvania.

PARTICIPANTS

Patients aged 65 and older admitted in 2002 in a medical diagnosis-related group (DRG).

MEASUREMENTS

Outcomes (inpatient mortality, 30-day mortality, readmission) and efficiency measures (length of stay, total costs, and surplus, which is the difference between hospital costs and payment received for an admission).

RESULTS

Elderly adults managed by geriatricians were significantly older (P < .001) and more likely to be male (P < .001) and had more diagnoses (P < .001). Propensity scores successfully balanced characteristics managed by the two groups. Patients of geriatricians had shorter length of stay (P < .001), lower costs per admission (P < .001), and greater surplus (P < .001) with no differences in outcomes. In multivariate analyses, there were not significant differences in outcomes, but patients of geriatricians had significantly shorter length of stay and lower costs per admission and generated more surplus for the hospitals.

CONCLUSION

Geriatricians were more efficient than other physicians in managing hospitalized elderly adults with medical DRGs frequently managed by geriatricians. This efficiency did not compromise patient outcomes.

Medical Care Provided Under California's Workers' Compensation Program: Effects of the Reforms and Additional Opportunities to Improve the Quality and Efficiency of Care

Since 2004, significant changes have been made to the California workers' compensation (WC) system. The Commission on Health and Safety and Workers' Compensation (CHSWC) asked the RAND Corporation to examine the impact that these changes have on the medical care provided to injured workers. This study synthesizes findings from interviews and available information regarding the implementation of the changes affecting WC medical care and identifies areas in which additional changes might increase the quality and efficiency of care delivered under the WC system. To improve incentives for efficiently providing medically appropriate care, California should revise its fee schedule allowances for services provided by hospitals to inpatients, freestanding ambulatory surgery centers, and physicians, create nonmonetary incentives for providing medically appropriate care in the medical provider network (MPN) context through more-selective contracting with providers and reducing medical review requirements for high-performing physicians; reduce incentives for inappropriate prescribing practices by curtailing in-office physician dispensing; and implement pharmacy benefit network regulations. To increase accountability for performance, California should revise the MPN certification process to place accountability for meeting MPN standards on the entity contracting with the physician network; strengthen Division of Workers' Compensation (DWC) authorities to provide intermediate sanctions for failure to comply with MPN requirements; and modify the Labor Code to remove payers and MPNs from the definition of individually identifiable data so that performance on key measures can be publicly available. To facilitate monitoring and oversight, California should provide DWC with more flexibility to add needed data elements to medical data reporting and provide penalties for a claim administrator failing to comply with the data-reporting requirements; require that medical cost-containment expenses be reported by category of cost; compile information on the types of medical services that are subject to UR denials and expedited hearings; and expand ongoing monitoring of system performance. Finally, to increase administrative efficiency, California should use an external medical review organization to review medical-necessity determinations, and it should explore best practices of other WC programs and health programs in carrying out medical cost-containment activities.

Episode-based performance measurement and payment: making it a reality

Proposals to use episodes of care as a basis for payment and performance measurement are largely conceptual at this stage, with little empirical work or experience in applied settings to guide their design. Based on analyses of Medicare data, we identified key issues that will need to be considered related to defining episodes and determining which provider is accountable for an episode. We suggest a number of applied studies and demonstrations that would facilitate more rapid movement of episode-based approaches from concept to implementation.

Obesity and angiolymphatic invasion in primary breast cancer

BACKGROUND

Obesity is associated with poorer breast cancer-specific survival. The purpose of this study was to investigate the relationships between obesity and the presence of angiolymphatic invasion as well as other features of invasive breast cancer, including stage at presentation, estrogen receptor (ER) status, triple-negative phenotype, and tumor grade.

METHODS

Detailed clinical and pathologic data were abstracted from the medical records of all 1,312 patients with stage I-III primary breast cancer who had breast surgery at the University of Michigan Comprehensive Cancer Center between January 1, 2000 and December 31, 2006. Bivariate and multivariate analyses were conducted to investigate the relationships between body mass index and tumor biologic features, controlling for menopausal status, diabetes and hypertension, hormone replacement therapy before diagnosis, race, and ethnicity.

RESULTS

In multivariate analyses, severe obesity was independently associated with the presence of angiolymphatic invasion [odds ratio (OR) 1.80, 95% confidence interval (CI) 1.08-2.99, joint test of significance, P = 0.03]. Severe obesity was associated with lower likelihood of triple-negative breast cancer (OR 0.39, 95% CI 0.16-0.96). Among premenopausal women with diabetes, ER-negative (OR 5.22, 95% CI 1.12-24.29) and triple-negative (OR 14.8, 95% CI 1.92-113.91) disease was significantly more common.

DISCUSSION

In this large sample of invasive breast cancers, obesity was independently associated with the presence of angiolymphatic invasion. Higher rates of angiolymphatic invasion among obese women may account in part for poorer outcomes among obese women with breast cancer.

Guidelines for palivizumab prophylaxis: are they based on infant's risk of hospitalization for respiratory syncytial viral disease?

BACKGROUND

The American Academy of Pediatrics (AAP) guidelines for respiratory syncytial virus (RSV) prophylaxis aim to prioritize palivizumab administration to infants at highest risk for RSV disease. Multiple studies have been published that assess the risk of hospitalization for RSV disease by gestational age (GA) at birth and severity of lung disease.

OBJECTIVE

To evaluate whether the AAP guidelines for RSV prophylaxis correlate with the available data in the literature on the degree of risk of hospitalization for RSV disease by GA at birth and severity of lung disease.

METHODS

We considered a hypothetical population of infants with and without chronic lung disease. This population was then divided into hypothetical cohorts depending on GA at birth and month of neonatal intensive care unit discharge. We assumed that infants are discharged from neonatal intensive care unit at 36 to 37 weeks postconceptional age. By applying the AAP policy for RSV prophylaxis, the numbers of palivizumab injections were determined for the different cohorts.

RESULTS

In some instances infants who are currently known to be at higher risk of hospitalization for RSV disease receive fewer palivizumab injections than infants known to be at lower risk.

CONCLUSION

Some discrepancies exist between the RSV prophylaxis guidelines and the published data on the level of risk of hospitalization for RSV disease by GA and lung disease. AAP policy for RSV prophylaxis must be amended to better correlate the amount of palivizumab prophylaxis with the level of risk of hospitalization for RSV disease as determined by the above factors.