Assessment of Overuse of Medical Tests and Treatments at US Hospitals Using Medicare Claims

Development of a disease-based hospital-level diagnostic intensity index

OBJECTIVES

Low-value care is associated with increased healthcare costs and direct harm to patients. We sought to develop and validate a simple diagnostic intensity index (DII) to quantify hospital-level diagnostic intensity, defined by the prevalence of advanced imaging among patients with selected clinical diagnoses that may not require imaging, and to describe hospital characteristics associated with high diagnostic intensity.

METHODS

We utilized State Inpatient Database data for inpatient hospitalizations with one or more pre-defined discharge diagnoses at acute care hospitals. We measured receipt of advanced imaging for an associated diagnosis. Candidate metrics were defined by the proportion of inpatients at a hospital with a given diagnosis who underwent associated imaging. Candidate metrics exhibiting temporal stability and internal consistency were included in the final DII. Hospitals were stratified according to the DII, and the relationship between hospital characteristics and DII score was described. Multilevel regression was used to externally validate the index using pre-specified Medicare county-level cost measures, a Dartmouth Atlas measure, and a previously developed hospital-level utilization index.

RESULTS

This novel DII, comprised of eight metrics, correlated in a dose-dependent fashion with four of these five measures. The strongest relationship was with imaging costs (odds ratio of 3.41 of being in a higher DII tertile when comparing tertiles three and one of imaging costs (95 % CI 2.02-5.75)).

CONCLUSIONS

A small set of medical conditions and related imaging can be used to draw meaningful inferences more broadly on hospital diagnostic intensity. This could be used to better understand hospital characteristics associated with low-value care.

Variation in Low-Value Service Use Across Veterans Affairs Facilities

BACKGROUND

It is unclear whether extensive variation in the use of low-value services exists even within a national integrated delivery system like the Veterans Health Administration (VA).

OBJECTIVE

To quantify variation in the use of low-value services across VA facilities and examine associations between facility characteristics and low-value service use.

DESIGN

In this retrospective cross-sectional study of VA administrative data, we constructed facility-level rates of low-value service use as the mean count of 29 low-value services per 100 Veterans per year. Adjusted rates were calculated via ordinary least squares regression including covariates for Veteran sociodemographic and clinical characteristics. We quantified the association between adjusted facility-level rates and facility geographic/operational characteristics.

PARTICIPANTS

5,242,301 patients across 139 VA facilities.

MAIN MEASURES

Use of 29 low-value services within six domains: cancer screening, diagnostic/preventive testing, preoperative testing, imaging, cardiovascular testing and procedures, and surgery.

KEY RESULTS

The mean rate of low-value service use was 20.0 services per 100 patients per year (S.D. 6.1). Rates ranged from 13.9 at the 10th percentile to 27.6 at the 90th percentile (90th/10th percentile ratio 2.0, 95% CI 1.8‒2.3). With adjustment for patient covariates, variation across facilities narrowed (S.D. 5.2, 90th/10th percentile ratio 1.8, 95% CI 1.6‒1.9). Only one facility characteristic was positively associated with low-value service use percent of patients seeing non-VA clinicians via VA Community Care, p < 0.05); none was associated with total low-value service use after adjustment for other facility characteristics. There was extensive variation in low-value service use within categories of facility operational characteristics.

CONCLUSIONS

Despite extensive variation in the use of low-value services across VA facilities, we observed substantial use of these services across facility operational characteristics and at facilities with lower rates of low-value service use. Thus, system-wide interventions to address low-value services may be more effective than interventions targeted to specific facilities or facility types.

Reducing Overuse by Healthcare Systems: A Positive Deviance Analysis

BACKGROUND

Healthcare in the USA is increasingly delivered by large healthcare systems that include one or more hospitals and associated outpatient practices. It is unclear what role healthcare systems play in driving or preventing overutilization of healthcare services in the USA.

OBJECTIVE

To learn how high-value healthcare systems avoid overuse of services DESIGN: We identified "positive deviant" health systems using a previously constructed Overuse Index. These systems have much lower-than-average overuse of healthcare services. We confirmed that these health systems also delivered high-quality care. We conducted semi-structured interviews with executive leaders of these systems to validate a published framework for understanding drivers of overuse.

PARTICIPANTS

Leaders at select healthcare systems in the USA.

INTERVENTIONS

None APPROACH: We developed an interview guide and conducted semi-structured interviews. We iteratively developed a code book. Paired reviewers coded and reconciled each interview. We analyzed the interviews by applying constant comparative techniques. We mapped the emergent themes to provide the first empirical data to support a previously developed theoretical framework.

KEY RESULTS

We interviewed 15 leaders from 10 diverse healthcare systems. Consistent with important domains from the overuse framework, themes from our study support the role of clinicians and patients in avoiding overuse. The leaders described how they create a culture of professional practice and how they modify clinicians' attitudes to facilitate high-value practices. They also described how their patients view healthcare consumption and the characteristics of their patient populations allowed them to practice high-value medicine. They described the role of quality metrics, insurance plan ownership, and alternative payment model participation as encouraging avoidance of overuse.

CONCLUSIONS

Our qualitative analysis of positive deviant health systems supports the framework that is in the published literature, although health system leaders also described their financial structures as another important factor for reducing overuse and encouraging high-value care delivery.

Who's Accountable? Low-Value Care Received By Medicare Beneficiaries Outside Of Their Attributed Health Systems

Policy makers and payers increasingly hold health systems accountable for spending and quality for their attributed beneficiaries. Low-value care-medical services that offer little or no benefit and have the potential for harm in specific clinical scenarios-received outside of these systems could threaten success on both fronts. Using national Medicare data for fee-for-service beneficiaries ages sixty-five and older and attributed to 595 US health systems, we describe where and from whom they received forty low-value services during 2017-18 and identify factors associated with out-of-system receipt. Forty-three percent of low-value services received by attributed beneficiaries originated from out-of-system clinicians: 38 percent from specialists, 4 percent from primary care physicians, and 1 percent from advanced practice clinicians. Recipients of low-value care were more likely to obtain that care out of system if age 75 or older (versus ages 65-74), male (versus female), non-Hispanic White (versus other races or ethnicities), rural dwelling (versus metropolitan dwelling), more medically complex, or experiencing lower continuity of care. However, out-of-system service receipt was not associated with recipients' health systems' accountable care organization status. Health systems might improve quality and reduce spending for their attributed beneficiaries by addressing out-of-system receipt of low-value care-for example, by improving continuity.

Clinical chemistry laboratory test overuse in a cardiology clinic: a single-center study

Diagnostic laboratory tests are frequently overused in healthcare entities, leading to an increased strain on laboratory resources, additional workload, and wastage of resources. Continuous monitoring of test ordering behavior is crucial to evaluate clinical necessity. This cross-sectional study aimed to estimate the necessity of ordering clinical chemistry tests in the cardiology clinic of a tertiary center in Saudi Arabia. We retrieved medical records of patients diagnosed with cardiovascular problems admitted at the cardiology clinic in 2020. The frequency and percentages of the ordered tests were calculated upon admission and follow-up, and the difference between necessary and unnecessary tests was compared for each category. Test ordering assessment included cardiac, renal, and liver functions, blood gases, thyroid and diabetic profile, iron indices, hormones, water and electrolytes, and inflammatory markers. The results showed a large number of clinical chemistry tests ordered without clinical necessity. While the number of necessary tests was significantly higher than that of unnecessary tests, 21% of the tests ordered between June-December 2021 at the center were unnecessary. Further studies are necessary to identify driving factors and develop strategies to reduce the overutilization of diagnostic laboratory tests in clinical practice. Eliminating this phenomenon will reduce the risk of unnecessary medical interventions and associated costs, improve patient outcomes, and reduce the overall burden on the healthcare system.

Prevalence and Cost of Care Cascades Following Low-Value Preoperative Electrocardiogram and Chest Radiograph Within the Veterans Health Administration

BACKGROUND

Low-value care cascades, defined as the receipt of downstream health services potentially related to a low-value service, can result in harm to patients and wasteful healthcare spending, yet have not been characterized within the Veterans Health Administration (VHA).

OBJECTIVE

To examine if the receipt of low-value preoperative testing is associated with greater utilization and costs of potentially related downstream health services in Veterans undergoing low or intermediate-risk surgery.

DESIGN

Retrospective cohort study using VHA administrative data from fiscal years 2017-2018 comparing Veterans who underwent low-value preoperative electrocardiogram (EKG) or chest radiograph (CXR) with those who did not.

PARTICIPANTS

National cohort of Veterans at low risk of cardiopulmonary disease undergoing low- or intermediate-risk surgery.

MAIN MEASURES

Difference in rate of receipt and attributed cost of potential cascade services in Veterans who underwent low-value preoperative testing compared to those who did not KEY RESULTS: Among 635,824 Veterans undergoing low-risk procedures, 7.8% underwent preoperative EKG. Veterans who underwent a preoperative EKG experienced an additional 52.4 (95% CI 47.7-57.2) cascade services per 100 Veterans, resulting in $138.28 (95% CI 126.19-150.37) per Veteran in excess costs. Among 739,005 Veterans undergoing low- or intermediate-risk surgery, 3.9% underwent preoperative CXR. These Veterans experienced an additional 61.9 (95% CI 57.8-66.1) cascade services per 100 Veterans, resulting in $152.08 (95% CI $146.66-157.51) per Veteran in excess costs. For both cohorts, care cascades consisted largely of repeat tests, follow-up imaging, and follow-up visits, with low rates invasive services.

CONCLUSIONS

Among a national cohort of Veterans undergoing low- or intermediate-risk surgeries, low-value care cascades following two routine low-value preoperative tests are common, resulting in greater unnecessary care and costs beyond the initial low-value service. These findings may guide de-implementation policies within VHA and other integrated healthcare systems that target those services whose downstream effects are most prevalent and costly.

Health service research definition builder: An R Shiny application for exploring diagnosis codes associated with services reported in routinely collected health data

Many administrative health data-based studies define patient cohorts using procedure and diagnosis codes. The impact these criteria have on a study's final cohort is not always transparent to co-investigators or other audiences if access to the research data is restricted. We developed a SAS and R Shiny interactive research support tool which generates and displays the diagnosis code summaries associated with a selected medical service or procedure. This allows non-analyst users to interrogate claims data and groupings of reported diagnosis codes. The SAS program uses a tree classifier to find associated diagnosis codes with the service claims compared against a matched, random sample of claims without the service. Claims are grouped based on the overlap of these associated diagnosis codes. The Health Services Research (HSR) Definition Builder Shiny application uses this input to create interactive table and graphics, which updates estimated claim counts of the selected service as users select inclusion and exclusion criteria. This tool can help researchers develop preliminary and shareable definitions for cohorts for administrative health data research. It allows an additional validation step of examining frequency of all diagnosis codes associated with a service, reducing the risk of incorrect included or omitted codes from the final definition. In our results, we explore use of the application on three example services in 2016 US Medicare claims for patients aged over 65: knee arthroscopy, spinal fusion procedures and urinalysis. Readers can access the application at https://kelsey209.shinyapps.io/hsrdefbuilder/ and the code at https://github.com/kelsey209/hsrdefbuilder.

Ethical issues with geographical variations in the provision of health care services

Geographical variations are documented for a wide range of health care services. As many such variations cannot be explained by demographical or epidemiological differences, they are problematic with respect to distributive justice, quality of care, and health policy. Despite much attention, geographical variations prevail. One reason for this can be that the ethical issues of geographical variations are rarely addressed explicitly. Accordingly, the objective of this article is to analyse the ethical aspects of geographical variations in the provision of health services. Applying a principlist approach the article identifies and addresses four specific ethical issues: injustice, harm, lack of beneficence, and paternalism. Then it investigates the normative leap from the description of geographical variations to the prescription of right care. Lastly, the article argues that professional approaches such as developing guidelines, checklists, appropriateness criteria, and standards of care are important measures when addressing geographical variations, but that such efforts should be accompanied and supported by ethical analysis. Hence, geographical variations are not only a healthcare provision, management, or a policy making problem, but an ethical one. Addressing the ethical issues with geographical variations is key for handling this crucial problem in the provision of health services.

Development and validation of a new ICD-10-based screening colonoscopy overuse measure in a large integrated healthcare system: a retrospective observational study

BACKGROUND

Low-value use of screening colonoscopy is wasteful and potentially harmful to patients. Decreasing low-value colonoscopy prevents procedural complications, saves patient time and reduces patient discomfort, and can improve access by reducing procedural demand. The objective of this study was to develop and validate an electronic measure of screening colonoscopy overuse using International Classification of Diseases, Tenth Edition codes and then apply this measure to estimate facility-level overuse to target quality improvement initiatives to reduce overuse in a large integrated healthcare system.

METHODS

Retrospective national observational study of US Veterans undergoing screening colonoscopy at 119 Veterans Health Administration (VHA) endoscopy facilities in 2017. A measure of screening colonoscopy overuse was specified by an expert workgroup, and electronic approximation of the measure numerator and denominator was performed ('electronic measure'). The electronic measure was then validated via manual record review (n=511). Reliability statistics (n=100) were calculated along with diagnostic test characteristics of the electronic measure. The measure was then applied to estimate overall rates of overuse and facility-level variation in overuse among all eligible patients.

RESULTS

The electronic measure had high specificity (99%) and moderate sensitivity (46%). Adjusted positive predictive value and negative predictive value were 33% and 95%, respectively. Inter-rater reliability testing revealed near perfect agreement between raters (k=0.81). 269 572 colonoscopies were performed in VHA in 2017 (88 143 classified as screening procedures). Applying the measure to these 88 143 screening colonoscopies, 24.5% were identified as potential overuse. Median facility-level overuse was 22.5%, with substantial variability across facilities (IQR 19.1%-27.0%).

CONCLUSIONS

An International Classification of Diseases, Tenth Edition based electronic measure of screening colonoscopy overuse has high specificity and improved sensitivity compared with a previous International Classification of Diseases, Ninth Edition based measure. Despite increased focus on reducing low-value care and improving access, a quarter of VHA screening colonoscopies in 2017 were identified as potential low-value procedures, with substantial facility-level variability.

The carbon footprint of the operating room related to infection prevention measures: a scoping review

BACKGROUND

Infection prevention measures are widely used in operating rooms (ORs). However, the extent to which they are at odds with ambitions to reduce the health sector's carbon footprint remains unclear.

AIM

To synthesize the evidence base for the carbon footprint of commonly used infection prevention measures in the OR, namely medical devices and instruments, surgical attire and air treatment systems.

METHODS

A scoping review of the international scientific literature was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The search was performed in PubMed and Google Scholar. Articles published between 2010 and June 2021 on infection prevention measures, their impact on the health sector's carbon footprint, and risk for surgical site infections (SSIs) were included.

FINDINGS

Although hospitals strive to reduce their carbon footprint, many infection prevention measures result in increased emissions. Evidence suggests that the use of disposable items instead of reusable items generally increases the carbon footprint, depending on sources of electricity. Controversy exists regarding the correlation between air treatment systems, contamination and the incidence of SSIs. The literature indicates that new air treatment systems consume more energy and do not necessarily reduce SSIs compared with conventional systems.

CONCLUSION

Infection prevention measures in ORs can be at odds with sustainability. The use of new air treatment systems and disposable items generally leads to significant greenhouse gas emissions, and does not necessarily reduce the incidence of SSIs. Alternative infection prevention measures with less environmental impact are available. Implementation could be facilitated by embracing environmental impact as an additional dimension of quality of care, which should change current risk-based approaches for the prevention of SSIs.

Is Low-value Testing Before Low-risk Hand Surgery Associated With Increased Downstream Healthcare Use and Reimbursements? A National Claims Database Analysis

BACKGROUND

Minor hand procedures can often be completed in the office without any laboratory testing. Preoperative screening tests before minor hand procedures are unnecessary and considered low value because they can lead to preventable invasive confirmatory tests and/or procedures. Prior studies have shown that low-value testing before low-risk hand surgery is still common, yet little is known about their downstream effects and associated costs. Assessing these downstream events can elucidate the consequences of obtaining a low-value test and inform context-specific interventions to reduce their use.

QUESTIONS/PURPOSES

(1) Among healthy adults undergoing low-risk hand surgery, are patients who receive a preoperative low-value test more likely to have subsequent diagnostic tests and procedures than those who do not receive a low-value test? (2) What is the increased 90-day reimbursement associated with subsequent diagnostic tests and procedures in patients who received a low-value test compared with those who did not?

METHODS

In this retrospective, comparative study using a large national database, we queried a large health insurance provider's administrative claims data to identify adult patients undergoing low-risk hand surgery (carpal tunnel release, trigger finger release, Dupuytren fasciectomy, de Quervain release, thumb carpometacarpal arthroplasty, wrist ganglion cyst, or mass excision) between 2011 and 2017. This database was selected for its ability to track patient claims longitudinally with direct provision of reimbursement data in a large, geographically diverse patient population. Patients who received at least one preoperative low-value test, including complete blood count, basic metabolic panel, electrocardiogram, chest radiography, pulmonary function test, and urinalysis within the 30-day preoperative period, were matched with propensity scores to those who did not. Among the 73,112 patients who met our inclusion criteria (mean age 57 ± 14 years; 68% [49,847] were women), 27% (19,453) received at least one preoperative low-value test and were propensity score-matched to those who did not. Multivariable regression analyses were performed to assess the frequency and reimbursements of subsequent diagnostic tests and procedures in the 90 days after surgery while controlling for potentially confounding variables such as age, sex, comorbidities, and baseline healthcare use.

RESULTS

When controlling for covariates such as age, sex, comorbidities, and baseline healthcare use, patients in the low-value test cohort had an adjusted odds ratio of 1.57 (95% confidence interval [CI] 1.50 to 1.64; p < 0.001) for a postoperative use event (a downstream diagnostic test or procedure) compared with those who did not have a low-value test. The median (IQR) per-patient reimbursements associated with downstream utilization events in patients who received a low-value test was USD 231.97 (64.37 to 1138.84), and those who did not receive a low-value test had a median of USD 191.52 (57.1 to 899.42) (adjusted difference when controlling for covariates: USD 217.27 per patient [95% CI 59.51 to 375.03]; p = 0.007). After adjusting for inflation, total additional reimbursements for patients in the low-value test cohort increased annually.

CONCLUSION

Low-value tests generate downstream tests and procedures that are known to provide minimal benefit to healthy patients and may expose patients to potential harms associated with subsequent, unnecessary invasive tests and procedures in response to false positives. Nevertheless, low-value testing remains common and the rising trend in low-value test-associated spending demonstrates the need for multicomponent interventions that target change at both the payer and health system level. Such interventions should disincentivize the initial low-value test and the cascade that may follow. Future work to identify the barriers and facilitators to reduce low-value testing in hand surgery can inform the development and revision of deimplementation strategies.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Factors Associated With Overuse of Health Care Within US Health Systems

Question

What features of health care systems in the US are associated with overuse of health care?

Findings

In this cross-sectional study of 676 US health care systems, those that were overusing health care had more beds, had fewer primary care physicians, had more physician practice groups, were more likely to be investor owned, and were less likely to include a major teaching hospital.

Meaning

In-depth exploration of the drivers of health care overuse is needed at the level of health systems as their incentives may not be aligned with high-value care.

Importance

Overuse of health care is a pervasive threat to patients that requires measurement to inform the development of interventions.

Objective

To measure low-value health care use within health systems in the US and explore features of the health systems associated with low-value care delivery.

Design, Setting, and Participants

In this cross-sectional analysis, we identified occurrences of 17 low-value services in 3745 hospitals and affiliated outpatient sites. Hospitals were linked to 676 health systems in the US using the Agency for Healthcare Research and Quality (AHRQ) Compendium of Health Systems. The participants were 100% of Medicare beneficiaries with claims from 2016 to 2018.

Exposures

We identified occurrences of 17 low-value services in 3839 hospitals and affiliated outpatient sites.

Main Outcomes and Measures

Hospitals were linked to health systems using AHRQ’s Compendium of Health Systems. Between March and August 2021, we modeled overuse occurrences with a negative binomial regression model including the year-quarter, procedure indicator, and a health system indicator. The model included random effects for hospital and beneficiary age, sex, and comorbidity count specific to each indicator, hospital, and quarter. The beta coefficients associated with the health system term, normalized, reflect the tendency of that system to use low-value services relative to all other systems. With ordinary least squares regression, we explored health system characteristics associated with the Overuse Index (OI), expressed as a standard deviation where the mean across all health systems is 0.

Results

There were 676 unique health systems assessed in our study that included from 1 to 163 hospitals (median of 2). The mean age of eligible beneficiaries was 75.5 years and 76% were women. Relative to the lowest tertile, health systems in the upper tertile of medical groups count and bed count had an OI that was higher by 0.38 standard deviations (SD) and 0.44 SD, respectively. Health systems that were primarily investor owned had an OI that was 0.56 SD higher than those that were not investor owned. Relative to the lowest tertile, health systems in the upper tertile of primary care physicians, upper tertile of teaching intensity, and upper quartile of uncompensated care had an OI that was lower by 0.59 SD, 0.45 SD, and 0.47 SD, respectively.

Conclusions and Relevance

In this cross-sectional study of US health systems, higher amounts of overuse among health systems were associated with investor ownership and fewer primary care physicians. The OI is a valuable tool for identifying potentially modifiable drivers of overuse and is adaptable to other levels of investigation, such as the state or region, which might be affected by local policies affecting payment or system consolidation.

Changing Hospital Care For Older Adults: The Case for Geriatric Hospitals in the United States

Hospital care of frail older adults is far from optimal. Although some geriatric models of care have been shown to improve outcomes, the effect size is small and models are difficult to fully implement, sustain and replicate. The two root causes for these shortcomings are competing interests (high revenue generating diseases, procedures and surgeries) and current hospital cultures (for example a culture of safety that emphasizes bed alarms and immobility rather than frequent ambulation). Geriatric hospitals would be hospitals completely dedicated to the care of frail older patients, a group which is most vulnerable to the negative consequences of a hospitalization. They would differ from a typical adult hospital because they could implement evidence based principles of successful geriatric models of care on a hospital wide basis, which would make them sustainable and allow for scaling up of proven outcomes. Innovative structural designs, unachievable in a typical adult hospital, would enhance mobility while maintaining safety. Financial viability and stability would be a challenge but should be feasible, likely through affiliation with larger health care systems with other hospitals because of cost savings associated with geriatric models of care (decreased length of stay, increased likelihood of discharge home, without increasing costs).

Low-Value Care at the Actionable Level of Individual Health Systems

IMPORTANCE

Low-value health care remains prevalent in the US despite decades of work to measure and reduce such care. Efforts have been only modestly effective in part because the measurement of low-value care has largely been restricted to the national or regional level, limiting actionability.

OBJECTIVES

To measure and report low-value care use across and within individual health systems and identify system characteristics associated with higher use using Medicare administrative data.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study of health system-attributed Medicare beneficiaries was conducted among 556 health systems in the Agency for Healthcare Research and Quality Compendium of US Health Systems and included system-attributed beneficiaries who were older than 65 years, continuously enrolled in Medicare Parts A and B for at least 12 months in 2016 or 2017, and eligible for specific low-value services. Statistical analysis was conducted from January 26 to July 15, 2021.

MAIN OUTCOMES AND MEASURES

Use of 41 individual low-value services and a composite measure of the 28 most common services among system-attributed beneficiaries, standardized to distance from the mean value. Measures were based on the Milliman MedInsight Health Waste Calculator and published claims-based definitions.

RESULTS

Across 556 health systems serving a total of 11 637 763 beneficiaries, the mean (SD) use of each of the 41 low-value services ranged from 0% (0.01%) to 28% (4%) of eligible beneficiaries. The most common low-value services were preoperative laboratory testing (mean [SD] rate, 28% [4%] of eligible beneficiaries), prostate-specific antigen testing in men older than 70 years (mean [SD] rate, 27% [8%]), and use of antipsychotic medications in patients with dementia (mean [SD] rate, 24% [8%]). In multivariable analysis, the health system characteristics associated with higher use of low-value care were smaller proportion of primary care physicians (adjusted composite score, 0.15 [95% CI, 0.04-0.26] for systems with less than the median percentage of primary care physicians vs -0.16 [95% CI, -0.27 to -0.05] for those with more than the median percentage of primary care physicians; P < .001), no major teaching hospital (adjusted composite, 0.10 [95% CI, -0.01 to 0.20] without a teaching hospital vs -0.18 [95% CI, -0.34 to -0.02] with a teaching hospital; P = .01), larger proportion of non-White patients (adjusted composite, 0.15 [95% CI, -0.02 to 0.32] for systems with >20% of non-White beneficiaries vs -0.06 [95% CI, -0.16 to 0.03] for systems with ≤20% of non-White beneficiaries; P = .04), headquartered in the South or West (adjusted composite, 0.28 [95% CI, 0.14-0.43] for the South and 0.22 [95% CI, 0.02-0.42] for the West compared with -0.09 [95% CI, -0.26 to 0.08] for the Northeast and -0.44 [95% CI, -0.60 to -0.28] for the Midwest; P < .001), and serving areas with more health care spending (adjusted composite, 0.23 [95% CI, 0.11-0.35] for areas above the median level of spending vs -0.24 [95% CI, -0.36 to -0.12] for areas below the median level of spending; P < .001).

CONCLUSIONS AND RELEVANCE

The findings of this large cohort study suggest that system-level measurement and reporting of specific low-value services is feasible, enables cross-system comparisons, and reveals a broad range of low-value care use.

Adverse Events and Hospital-Acquired Conditions Associated With Potential Low-Value Care in Medicare Beneficiaries

Question

What is the prevalence and cost of hospital-acquired conditions (HACs) and patient safety events (PSIs) associated with procedures that may be low value?

Findings

In this retrospective claims analysis of a cohort of Medicare fee-for-service beneficiaries, there were 231 HACs and 1764 PSIs in 197 755 claims for 7 inpatient procedures from 2016 to 2018.

Meaning

Patients with flagged, potential low-value procedures were harmed while in hospital, resulting in an extended length of stay and additional costs.

Importance

There has been insufficient research on the patient harms and costs associated with potential low-value procedures in the US Medicare population.

Objective

To report the prevalence of adverse events associated with potential low-value procedures and the additional hospital length of stay (LOS) and costs.

Design, Setting, and Participants

This is a retrospective cohort study using Medicare fee-for-service claims between January 2016 to December 2018. Participants were aged 65 years or older. Procedures were selected if they had previously published indicators of low-value care, including knee arthroscopy, spinal fusion, vertebroplasty, percutaneous coronary intervention (PCI), carotid endarterectomy, renal stenting, and hysterectomy for benign conditions. Analysis was conducted from July to December, 2020.

Main Outcomes and Measures

For inpatient procedures, the number and rate of admissions with a hospital-acquired condition (HAC) or patient safety indicator event (PSIs), as well as the unadjusted and adjusted difference in mean LOS and Medicare costs between admissions with and without a HAC/PSI. For outpatient procedures, we report the number of claims where the beneficiary had an unplanned hospital admission within seven days and the number of these admissions with a HAC/PSI.

Results

There were 573 351 patients included in the study, with 617 264 procedures; the mean (SD) age was 74.2 (6.7) years, with 320 637 women (55.9%), and mostly White patients (520 735; 90.8%). Among the 197 755 claims for the inpatient procedures, 231 had an HAC and 1764 had a PSI. Spinal fusion was associated with the most HACs (123 admissions) and PSIs (1015 admissions). Overall, HACs during a PCI admission were associated with the highest adjusted additional mean LOS (17.5 days; 95% CI, 10.3-23.6), with also the highest adjusted additional mean cost ($22 000; 95% CI, $9100-$32 600). There were 419 509 included outpatient procedures, and 7514 (1.8%) had an unplanned admission within 7 days. A total of 17 HACs and PSIs occurred in these admissions.

Conclusions and Relevance

In this cross-sectional cohort study of Medicare fee-for-service claims, patients receiving potential low-value care were exposed to risk of unnecessary harm associated with higher cost and LOS.