Dataset Information

Uptake of the centers for medicare and medicaid obesity benefit: 2012-2013.

ABSTRACT: To assess the use of the Medicare Obesity Benefit (MOB) by a licensed physician or associate provider in an outpatient setting in older adults.A serial cross-sectional analysis of fee-for-service Medicare claims (2012 and 2013) was used to assess the use of the MOB. Number and proportion of Medicare beneficiaries over age 65 using the benefit were assessed. Correlation between state-obesity rates and MOB uptake was determined based on state-specific obesity prevalence data from the Behavioral Risk Factor Surveillance System. Results There were 27,338 (0.10%) Medicare beneficiaries over age 65 in 2012 using the MOB and slightly more in 2013 (n?=?46,821 [0.17%]). Mean age of MOB users in both years was 73 years, and 62% were females. Use declined with older age and was highest in the Northeast and lowest in the Midwest. High state obesity prevalence was not correlated with higher uptake of the MOB. Estimated proportion of persons with obesity using the MOB was 0.35% and 0.60% in successive years. A mean of 1.99 and 2.16 claims/MOB user was observed.While the rate of MOB use increased in the second full year of its implementation, few were availing themselves of this benefit.

SUBMITTER: Batsis JA

PROVIDER: S-EPMC5003721 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Uptake of the centers for medicare and medicaid obesity benefit: 2012-2013.

Batsis John A JA Bynum Julie P W JP

Obesity (Silver Spring, Md.) 20160728 9

<h4>Objective</h4>To assess the use of the Medicare Obesity Benefit (MOB) by a licensed physician or associate provider in an outpatient setting in older adults.<h4>Methods</h4>A serial cross-sectional analysis of fee-for-service Medicare claims (2012 and 2013) was used to assess the use of the MOB. Number and proportion of Medicare beneficiaries over age 65 using the benefit were assessed. Correlation between state-obesity rates and MOB uptake was determined based on state-specific obesity prev ...[more]

PMID: 27465909

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Project description:STUDY OBJECTIVES:Centers for Medicare and Medicaid Services (CMS) reimbursement for positive airway pressure (PAP) devices for obstructive sleep apnea treatment is dependent on patients meeting adherence expectations within the first 3 months on therapy. Adherence is defined as usage of the device for at least 4 hours per night on 70% of nights during a consecutive 30-day period. We hypothesize that the adherence pattern may be established beyond this initial period, which may limit the opportunity to treat many patients. METHODS:Treatment and adherence data from PAP devices were monitored via wireless modems for 42 consecutive PAP-naïve military veterans who completed 1 year of nightly monitoring. Their baseline characteristics were as follows: age (mean ± standard deviation) 58.5 ± 12.5 years; body mass index 33.7 ± 5.7 kg/m2; diagnostic apnea-hypopnea index (pretreatment) 28.1 ± 18.5 events/h; apnea-hypopnea index on PAP: 4.3 ± 3.3 events/h. We examined daily, monthly, quarterly, semiannual, and annual reports, and the best 30-day adherence report for each quarter. RESULTS:In the first 3 months, 19 of 42 participants were adherent by CMS criteria, and 23 of 42 participants were not. Of the 19 adherent participants, 13 remained adherent and 6 became nonadherent or stopped PAP treatment for the remainder of the year. In the 23 initially nonadherent participants, 16 stopped PAP treatment, and 7 participants (30.4%) became adherent (using CMS criteria) during the rest of the year. Thus, PAP adherence during the first 3 months was predictive for the rest of the year in only 68.4%. PAP nonadherence during the first 3 months was predictive for further nonadherence in only 69.6% of the cases. Overall, this led to a 65% sensitivity and 72% specificity of using adherence at 3 months in predicting adherence at 1 year. CONCLUSIONS:CMS adherence criteria affecting PAP coverage are restrictive and can result in the withholding of therapy in many patients who otherwise might become adherent. CLINICAL TRIAL REGISTRATION:Registry: ClinicalTrials.gov, Title: Remote Monitoring in Obstructive Sleep Apnea, Identifier: NCT01678560, URL: https:// clinicaltrials.gov/ct2/show/NCT01678560.

Project description:Importance:The Centers for Medicare & Medicaid Services (CMS) Five-Star measure for nursing homes is designed with input from expert panels about the importance of multiple quality indicators. Consumers may assign different values to these indicators, creating different 5-star ratings. Objective:To compare nursing homes' rankings based on the CMS Five-Star measure with rankings based on consumers' judgment about the importance of the same quality indicators. Design, Setting, and Participants:In this quality improvement study, CMS Five-Star data were linked with a measure calculated from CMS quality indicators and consumer values obtained from a national survey. Data covered the last quarter of 2016 and the first three quarters of 2017. The study included 10?676 nursing homes, comprising 69.8% of those with reported Five-Star measures. The national survey included adults, either nursing home residents or their family members who reported being familiar with the quality of care their relative received. Data analysis was performed from January 2019 to February 2020. Main Outcomes and Measures:The contingent valuation method was administered via the survey to obtain consumers' relative values of the quality indicators, and statistical analyses were used to create the contingent valuation measure. Agreement in nursing home rankings was assessed using the Five-Star measure, which is based on weights developed by expert panels, compared with rankings based on the contingent valuation measure. Results:Among 10?676 study nursing homes with a mean (SD) of 119.4 (59.4) beds, 7845 (73.5%) were for profit, 6424 (61.8%) were part of a chain, and 8009 (75.0%) were urban. The 4310 survey respondents (mean [SD] age, 39.9 [15.6] years; 1143 [26.5%] men; 3448 [80%] white) included mostly family members (3879 participants [90.0%]). The Pearson correlation coefficient (0.65) and weighted ? statistics (0.48) indicated only moderate agreement between ranking of nursing homes' performance by the 2 measures and disagreement on ranking for approximately one-half of the nursing homes. Conclusions and Relevance:Current nursing home report cards might not reflect consumers' values and the relative importance consumers place on each of the quality indicators that compose the overall Five-Star measure. Quality report cards might be more relevant to consumers by augmenting the Five-Star measure with a measure reflecting consumers' preferences. It is unknown whether these conclusions are generalizable to other report cards, such as Hospital and Home Health Compare, without conducting similar studies for these report cards.

Project description:ImportancePredicting payments for particular conditions or populations is essential for research, benchmarking, public reporting, and calculations for population-based programs. Centers for Medicare & Medicaid Services (CMS) models often group codes into disease categories, but using single, rather than grouped, diagnostic codes and leveraging present on admission (POA) codes may enhance these models.ObjectiveTo determine whether changes to the candidate variables in CMS models would improve risk models predicting patient total payment within 30 days of hospitalization for acute myocardial infarction (AMI), heart failure (HF), and pneumonia.Design, setting, and participantsThis comparative effectiveness research study used data from Medicare fee-for-service hospitalizations for AMI, HF, and pneumonia at acute care hospitals from July 1, 2013, through September 30, 2015. Payments across multiple care settings, services, and supplies were included and adjusted for geographic and policy variations, corrected for inflation, and winsorized. The same data source was used but varied for the candidate variables and their selection, and the method used by CMS for public reporting that used grouped codes was compared with variations that used POA codes and single diagnostic codes. Combinations of use of POA codes, separation of index admission diagnoses from those in the previous 12 months, and use of individual International Classification of Diseases, Ninth Revision, Clinical Modification codes instead of grouped diagnostic categories were tested. Data analysis was performed from December 4, 2017, to June 10, 2019.Main outcomes and measuresThe models' goodness of fit was compared using root mean square error (RMSE) and the McFadden pseudo R2.ResultsAmong the 1 943 049 total hospitalizations of the study participants, 343 116 admissions were for AMI (52.5% male; 37.4% aged ≤74 years), 677 044 for HF (45.5% male; 25.9% aged ≤74 years), and 922 889 for pneumonia (46.4% male; 28.2% aged ≤74 years). The mean (SD) 30-day payment was $23 103 ($18 221) for AMI, $16 365 ($12 527) for HF, and $17 097 ($12 087) for pneumonia. Each incremental model change improved the pseudo R2 and RMSE. Incorporating all 3 changes improved the pseudo R2 of the patient-level models from 0.077 to 0.129 for AMI, from 0.042 to 0.129 for HF, and from 0.114 to 0.237 for pneumonia. Parallel improvements in RMSE were found for all 3 conditions.Conclusions and relevanceLeveraging POA codes, separating index from previous diagnoses, and using single diagnostic codes improved payment models. Better models can potentially improve research, benchmarking, public reporting, and calculations for population-based programs.

Project description:ObjectiveTo examine the relationship between federally qualified health center (FQHC) use and hospital-based care among individuals dually enrolled in Medicare and Medicaid.Data sourcesData were obtained from 2012 to 2018 Medicare claims.Study designWe modeled hospital-based care as a function of FQHC use, person-level factors, a Medicare prospective payment system (PPS) indicator, and ZIP code fixed effects. Outcomes included emergency department (ED) visits (overall and nonemergent), observation stays, hospitalizations (overall and for ambulatory care sensitive conditions), and 30-day unplanned returns. We stratified all models on the basis of eligibility and rurality.Data extraction methodsOur sample included individuals dually enrolled in Medicare and Medicaid for at least two full consecutive years, residing in a primary care service area with an FQHC. We excluded individuals without primary care visits, who died, or had end-stage renal disease.Principal findingsAfter the Medicare PPS was introduced, FQHC use in rural counties was associated with fewer ED and nonemergent ED visits per 100 person-years among both age-eligible (-14.8 [-17.5, -12.1]; -6.6 [-7.5, -5.6]) and disability-eligible duals (-11.3 [-14.4, -8.3]; -6 [-7.4, -4.6]) as well as a lower probability of observation stays (-0.8 pp age-eligible; -0.4 pp disability-eligible) and unplanned returns (-2.1 pp age-eligible; -1.9 pp disability-eligible). In urban counties, FQHC use was associated with more ED and nonemergent ED visits per 100 person-years (10.6 [8.4, 12.8]; 4.0 [2.6, 5.4]) among disability-eligible duals (a decrease of more than 60% compared with the pre-PPS period) and increases in the probability of hospitalization (1.1 pp age-eligible; 0.8 pp disability-eligible) and ACS hospitalization (0.5 pp age-eligible; 0.3 pp disability-eligible) (a decrease of roughly 50% compared with the pre-PPS period).ConclusionsFQHC use is associated with reductions in hospital-based care among dual enrollees after introduction of the Medicare PPS. Further research is needed to understand how FQHCs can tailor care to best serve this complex population.

Dataset Information

Uptake of the centers for medicare and medicaid obesity benefit: 2012-2013.

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Uptake of the centers for medicare and medicaid obesity benefit: 2012-2013.

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