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      Assessing patient, physician, and practice characteristics predicting the use of low‐value services

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          Abstract

          Objective

          To examine characteristics of beneficiaries, physicians, and their practice sites associated with greater use of low‐value services (LVS) using LVS measures that reflect current care practices.

          Data Sources

          This study was conducted in the context of a large, nationwide primary care redesign initiative (Comprehensive Primary Care Plus), using Medicare claims data in 2018.

          Study Design

          We examined beneficiary‐level total counts of LVS based on the existing 31 claims‐based measures updated by excluding three services provided with diminishing frequency to Medicare beneficiaries and by replacing these with more recently identified LVS. We estimated hierarchical linear models with an extensive list of beneficiary, physician, and practice site characteristics to examine the contribution of characteristics at each level in predicting greater use of LVS. We also examined the proportion of variation in LVS use attributable to the set of characteristics at each level.

          Data Collection/Extraction Methods

          The study included 5,074,642 Medicare fee‐for‐service beneficiaries attributed to 32,406 primary care physicians in 11,009 primary care practice sites.

          Principal Findings

          Patients with disabilities, end‐stage renal disease, and those in regions with higher poverty rates receive 10 (standard error [SE] = 3.0), 80 (SE = 14.0), and 10 (SE = 1.0) more LVS per 1000 beneficiaries across all 31 measures combined than patients without such attributes, respectively. Greater physician comprehensiveness and an increase in the number of primary care practitioners at a practice were associated with 40 (SE = 20.0) and 20 (SE = 6.0) fewer LVS per 1000 beneficiaries, respectively. Yet, the explanatory variables we examined only account for 11 percent of the variation in LVS use, with most of the variation (87 percent) being due to unobserved differences at the beneficiary level.

          Conclusions

          Unexplained residual variation, from underlying patient preferences and behavior of non‐primary care providers, could be important determinants of LVS use.

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          Most cited references31

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          Measuring low-value care in Medicare.

          Despite the importance of identifying and reducing wasteful health care use, few direct measures of overuse have been developed. Direct measures are appealing because they identify specific services to limit and can characterize low-value care even among the most efficient providers.
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            Low-Cost, High-Volume Health Services Contribute The Most To Unnecessary Health Spending

            An analysis of data for 2014 about forty-four low-value health services in the Virginia All Payer Claims Database revealed more than $586 million in unnecessary costs. Among these low-value services, those that were low and very low cost ($538 or less per service) were delivered far more frequently than services that were high and very high cost ($539 or more). The combined costs of the former group were nearly twice those of the latter (65 percent versus 35 percent).
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              Prevalence and Cost of Care Cascades After Low-Value Preoperative Electrocardiogram for Cataract Surgery in Fee-for-Service Medicare Beneficiaries

              What are the prevalence and costs of care cascades after low-value preoperative electrocardiograms for cataract surgery? This cohort study of 110 183 fee-for-service Medicare beneficiaries found that 16% of those who received a preoperative electrocardiogram before cataract surgery experienced a potential cascade event; this was more likely among older, sicker individuals who lived in cardiologist-dense areas or had a cardiac specialist perform the electrocardiogram. There were 5 to 11 cascade events per 100 beneficiaries, costing up to $565 per beneficiary or $35 million nationally in addition to $3.3 million for the initial electrocardiograms. Care cascades after low-value preoperative electrocardiograms are infrequent yet costly; policy and practice interventions to mitigate such cascades could yield substantial savings. This cohort study reviews data from fee-for-service Medicare beneficiaries without known heart disease who underwent cataract surgery to compare care cascades (tests, treatments, visits, hospitalizations, a and new diagnoses) between those who received preoperative electrocardiograms and those who did not. Low-value care is prevalent in the United States, yet little is known about the downstream health care use triggered by low-value services. Measurement of such care cascades is essential to understanding the full consequences of low-value care. To describe cascades (tests, treatments, visits, hospitalizations, and new diagnoses) after a common low-value service, preoperative electrocardiogram (EKG) for patients undergoing cataract surgery. Observational cohort study using fee-for-service Medicare claims data from beneficiaries aged 66 years or older without known heart disease who were continuously enrolled between April 1, 2013, and September 30, 2015, and underwent cataract surgery between July 1, 2014 and June 30, 2015. Data were analyzed from March 12, 2018, to April 9, 2019. Receipt of a preoperative EKG. The comparison group included patients who underwent cataract surgery but did not receive a preoperative EKG. Cascade event rates and associated spending in the 90 days after preoperative EKG, or in a matched timeframe for the comparison group. Secondary outcomes were patient, physician, and area-level characteristics associated with experiencing a potential cascade. Among 110 183 cataract surgery recipients, 12 408 (11.3%) received a preoperative EKG (65.6% of them were female); of those, 1978 (15.9%) had at least 1 potential cascade event. The comparison group included 97 775 participants (63.1% female). Those who received a preoperative EKG experienced between 5.11 (95% CI, 3.96-6.25) and 10.92 (95% CI, 9.76-12.08) additional events per 100 beneficiaries relative to the comparison group. This included between 2.18 (95% CI, 1.34-3.02) and 7.98 (95% CI, 7.12-8.84) tests, 0.33 (95% CI, 0.19-0.46) treatments, 1.40 (95% CI, 1.18-1.62) new patient cardiology visits, and 1.21 (95% CI, 0.62-1.79) new cardiac diagnoses. Spending for the additional services was up to $565 per Medicare beneficiary (95% CI, $342-$775), or an estimated $35 025 923 annually across all Medicare beneficiaries in addition to the $3 275 712 paid for the preoperative EKGs. Among preoperative EKG recipients, those who were older (adjusted odds ratio [aOR] for patients aged 75 to 84 years vs 66 to 74 years old, 1.42; 95% CI, 1.28-1.57), had more chronic conditions (aOR for each additional Elixhauser condition, 1.18; 95% CI, 1.14-1.22), lived in more cardiologist-dense areas (aOR, 1.05; 95% CI, 1.02-1.09), or had their preoperative EKG performed by a cardiac specialist rather than a primary care physician (aOR, 1.26; 95% CI, 1.10-1.43) were more likely to experience a potential cascade. Care cascades after preoperative EKG for cataract surgery are infrequent but costly. Policy and practice interventions to reduce low-value services and the cascades that follow could yield substantial savings.
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                Author and article information

                Contributors
                Journal
                Health Services Research
                Health Services Research
                Wiley
                0017-9124
                1475-6773
                December 2022
                September 06 2022
                December 2022
                : 57
                : 6
                : 1261-1273
                Affiliations
                [1 ] Mathematica Oakland California USA
                [2 ] Mathematica Washington DC USA
                [3 ] Mathematica Princeton New Jersey USA
                Article
                10.1111/1475-6773.14053
                36054345
                71128941-3de5-4c67-971f-09f8182c57e4
                © 2022

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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