Comparison of Low-Value Care in Medicaid vs Commercially Insured Populations

Relationship Between Insurance Status and Receipt of Cardiac Tests and Procedures During Hospitalization: A Cross-Sectional Study

BACKGROUND

Prior analyses of the relationship between insurance status and receipt of tests and procedures have yielded conflicting findings and have focused on outpatient care. We sought to characterize the relationship between primary payer and diagnostic and procedural intensity, comparing rates of cardiac tests and procedures in matched hospitalized Medicaid and commercially insured patients.

METHODS AND RESULTS

We created a propensity score-matched sample of Medicaid and commercially insured adults hospitalized at all acute care hospitals in Kentucky, Maryland, New Jersey, and North Carolina from 2016 to 2018. The main outcome was receipt of a cardiac test or procedure: echocardiogram, stress test, cardiac catheterization (elective, in acute coronary syndrome, in ST-segment-elevation myocardial infarction), and pacemaker and subcutaneous cardiac rhythm monitor implantation. Generalized linear models with a hospital-specific indicator variable were estimated to calculate the adjusted odds of a commercially insured patient receiving a given test or procedure relative to a Medicaid patient. Models controlled for race, ethnicity, and zip code income quartile. Commercially insured patients were more likely to receive each cardiac test or procedure, with adjusted odds ratios ranging from 1.16 (95% CI, 1.00-1.34) for cardiac catheterization in ST-segment-elevation myocardial infarction to 1.40 (95% CI, 1.27-1.54) for pacemaker implantation.

CONCLUSIONS

Hospitalized commercially insured patients were more likely to undergo a range of cardiac tests and procedures, some of which may represent low-value care. This may be driven by a combination of physician and patient preference, financial incentives, and social determinants of health. Our findings support the need for hospital payment models focused on increasing value and reducing inequities.

Effectiveness of de-implementation of low-value healthcare practices: an overview of systematic reviews

BACKGROUND

Reducing low-value care (LVC) is crucial to improve the quality of patient care while increasing the efficient use of scarce healthcare resources. Recently, strategies to de-implement LVC have been mapped against the Expert Recommendation for Implementing Change (ERIC) compilation of strategies. However, such strategies' effectiveness across different healthcare practices has not been addressed. This overview of systematic reviews aimed to investigate the effectiveness of de-implementation initiatives and specific ERIC strategy clusters.

METHODS

We searched MEDLINE (Ovid), Epistemonikos.org and Scopus (Elsevier) from 1 January 2010 to 17 April 2023 and used additional search strategies to identify relevant systematic reviews (SRs). Two reviewers independently screened abstracts and full texts against a priori-defined criteria, assessed the SR quality and extracted pre-specified data. We created harvest plots to display the results.

RESULTS

Of 46 included SRs, 27 focused on drug treatments, such as antibiotics or opioids, twelve on laboratory tests or diagnostic imaging and seven on other healthcare practices. In categorising de-implementation strategies, SR authors applied different techniques: creating self-developed strategies (n = 12), focussing on specific de-implementation strategies (n = 14) and using published taxonomies (n = 12). Overall, 15 SRs provided evidence for the effectiveness of de-implementation interventions to reduce antibiotic and opioid utilisation. Reduced utilisation, albeit inconsistently significant, was documented in the use of antipsychotics and benzodiazepines, as well as in laboratory tests and diagnostic imaging. Strategies within the adapt and tailor to context, develop stakeholder interrelationships, and change infrastructure and workflow ERIC clusters led to a consistent reduction in LVC practices.

CONCLUSION

De-implementation initiatives were effective in reducing medication usage, and inconsistent significant reductions were observed for LVC laboratory tests and imaging. Notably, de-implementation clusters such as change infrastructure and workflow and develop stakeholder interrelationships emerged as the most encouraging avenues. Additionally, we provided suggestions to enhance SR quality, emphasising adherence to guidelines for synthesising complex interventions, prioritising appropriateness of care outcomes, documenting the development process of de-implementation initiatives and ensuring consistent reporting of applied de-implementation strategies.

REGISTRATION

OSF Open Science Framework 5ruzw.

Quality-of-Care Outcomes in Vertical Relationships Between Physicians and Health Systems

Importance

Vertical relationships (ownership, affiliations, joint contracting) between physicians and health systems are increasing in the US. Many proponents of vertical relationships argue that increased spending associated with consolidation is accompanied by improvements in quality of care.

Objective

To assess the association of vertical relationships between primary care physicians (PCPs) and large health systems and quality of care.

Design, Setting, and Participants

This stacked difference-in-differences study compared outcomes for patients whose attributed PCP entered a vertical relationship with a large system in 2015 or 2017 to patients whose PCP was either never or always in a vertical relationship with a large system from 2013 to 2017. Models account for differences between PCPs, patient characteristics, market concentration, and secular trends. Data were derived from the 2013 to 2017 Massachusetts All-Payer Claims Database. The study population included commercially insured individuals attributed to a PCP in the Massachusetts Health Quality Partners' Massachusetts Provider Database in 2013, 2015, or 2017. Analyses were conducted between January 2021 and January 2024.

Exposure

PCPs attributed to patients in the study entering a vertical relationship with a large health system in 2015 or 2017.

Main Outcomes and Measures

Low-value care utilization, posthospitalization follow-up, utilization among patients with ambulatory care-sensitive conditions, practice site visit fragmentation, and timeliness of specialty care.

Results

The study population included 4 603 172 patient-year observations from 2013 to 2017. Among all patients in the study, 53.5% were female, 35.3% had any chronic condition, and the mean (SD) age was 38.9 (20.3) years. There was no association between vertical relationships and low-value care or ambulatory care-sensitive conditions utilization. A patient's PCP entering a vertical relationship had no association with the probability of follow-up within 90 days of cancer diagnosis with any oncologist but was associated with a 7.34-percentage point (pp) (95% CI, 2.28-12.40; P = .01) increase in the probability of follow-up with an oncologist in the health system. Vertical relationships were associated with increased posthospitalization follow-up with a physician in the health system by 7.51 pp (95% CI, 2.96-12.06: P = .001) in the 2015 subgroup. PCP-health system vertical relationships were associated with a significant decrease in fragmentation of practice site visits of -1.05 pp (95% CI, -2.05 to 0.05; P = .04).

Conclusions and Relevance

In this study, vertical relationships between PCPs and large health systems were associated with patient steering and changes in care delivery processes, but not necessarily improvements in patient outcomes.

Medicaid Insurance is Associated With Decreased MRI Use for Ankle Sprains Compared With Private Insurance: A Retrospective Large-database Analysis

BACKGROUND

Advanced imaging modalities are expensive, and access to advanced imaging services may vary by socioeconomic factors, creating the potential for unwarranted variations in care. Ankle sprains are a common injury for which variations in MRI use can occur, both via underuse of indicated MRIs (appropriate use) and overuse of nonindicated MRIs (inappropriate use). High-value, equitable healthcare would decrease inappropriate use and increase appropriate use of MRI for this common injury. It is unknown whether socioeconomic factors are associated with underuse of indicated MRIs and overuse of nonindicated MRIs for ankle sprains.

QUESTIONS/PURPOSES

Using ankle sprains as a paradigm injury, given their high population incidence, we asked: (1) Does MRI use for ankle sprains vary by insurance type? (2) After controlling for relevant confounding variables, did patients who received an MRI have higher odds of undergoing ankle surgery?

METHODS

Between 2011 and 2019, a total of 6,710,223 patients were entered into the PearlDiver Mariner Patient Records Database with a diagnosis of ankle sprain. We considered patients with continuous enrollment in the database for at least 1 year before and 2 years after the diagnosis as potentially eligible. Based on that, 68% (4,567,106) were eligible; a further 20% (1,372,478) were excluded because of age younger than 18 years, age at least 65 years with Medicaid insurance, or age < 65 years with Medicare insurance. Another 0.1% (9169) had incomplete data, leaving 47% (3,185,459) for analysis here. Patients with Medicaid insurance differed from patients with Medicare Advantage or private insurance with respect to age, gender, region, and comorbidity burden. The primary outcome was ankle MRI occurring within 12 months after diagnosis. The use of ankle surgery after MRI in each cohort was measured as a secondary outcome. We used multivariable logistic regression models to evaluate the association between insurance type and MRI use while adjusting for age, gender, region, and comorbidity burden. Separate multivariable regression models were created to evaluate the association between receiving an MRI and subsequent ankle surgery for each insurance type, adjusting for age, gender, region, and comorbidity burden. Within 12 months of an ankle sprain diagnosis, 1% (3522 of 339,457) of patients with Medicaid, 2% (44,793 of 2,627,288) of patients with private insurance, and 1% (1660 of 218,714) of patients with Medicare Advantage received an MRI.

RESULTS

After controlling for age, gender, region, and comorbidity burden, patients with Medicaid had lower odds of receiving an MRI within 12 months after ankle sprain diagnosis than patients with private insurance (odds ratio 0.60 [95% confidence interval 0.57 to 0.62]; p < 0.001). Patients with Medicaid who received an MRI had higher adjusted odds of undergoing subsequent ankle surgery (OR 23 [95% CI 21 to 26]; p < 0.001) than patients with private insurance (OR 12.7 [95% CI 12 to 13]; p < 0.001).

CONCLUSION

Although absolute MRI use was generally low, there was substantial relative variation by insurance type. Given the high incidence of ankle sprains in the general population, these relative differences can translate to tens of thousands of MRIs. Further studies are needed to evaluate the reasons for decreased appropriate MRI use in patients with Medicaid and overuse of MRI in patients with private insurance. The establishment of clinical practice guidelines by orthopaedic professional societies and more stringent gatekeeping for MRI use by health insurers could reduce unwarranted variations in MRI use.

LEVEL OF EVIDENCE

Level III, prognostic study.

Commercial Versus Medicaid Insurance and Use of High-Priced Anticancer Treatments

BACKGROUND

Because the markups on cancer drugs vary by payor, providers' financial incentive to use high-price drugs is differential according to each patient's insurance type. We evaluated the association between patient insurer (commercial vs Medicaid) and the use of high-priced cancer treatments.

MATERIALS AND METHODS

We linked cancer registry, administrative claims, and demographic data for individuals diagnosed with cancer in North Carolina from 2004 to 2011, with either commercial or Medicaid insurance. We selected cancers with multiple FDA-approved, guideline-recommended chemotherapy options and large price differences between treatment options: advanced colorectal, lung, and head and neck cancer. The outcome was a receipt of a higher-priced option, and the exposure was insurer: commercial versus Medicaid. We estimated risk ratios (RRs) for the association between insurer and higher-priced treatment using log-binomial models with inverse probability of exposure weights.

RESULTS

Of 812 patients, 209 (26%) had Medicaid. The unadjusted risk of receiving higher-priced treatment was 36% (215/603) for commercially insured and 27% (57/209) for Medicaid insured (RR: 1.31, 95% CI: 1.02-1.67). After adjustment for confounders the association was attenuated (RR: 1.15, 95% CI: 0.81-1.65). Exploratory subgroup analysis suggested that commercial insurance was associated with increased receipt of higher-priced treatment among patients treated by non-NCI-designated providers (RR: 1.53, 95% CI: 1.14-2.04).

CONCLUSIONS

Individuals with Medicaid and commercial insurance received high-priced treatments in similar proportion, after accounting for differences in case mix. However, modification by provider characteristics suggests that insurance type may influence treatment selection for some patient groups. Further work is needed to determine the relationship between insurance status and newer, high-price drugs such as immune-oncology agents.

Discrepancies Among Hospitals and Regions in the Provision of Low-Value Care

BACKGROUND

Low-value care (LVC) is a critical issue in terms of patient safety and fiscal policy; however, little has been known in Asia. For the purpose of better understanding the extent of LVC on a national level, the utilization, costs, and associated characteristics of selected international recommendations were assessed in this study.

METHODS

This retrospective cohort study used the National Health Insurance (NHI) claims data during 2013-2017 to evaluate the LVC utilization. Adult beneficiaries who enrolled in the NHI program and received at least one of the low-value services in hospitals were included. We measured seven procedures derived from the international recommendations at the hospital level, and a composite measure was created by summing the total utilization of selected services to determine the overall prevalence and corresponding cost. The generalized estimating equation (GEE) model was adopted to estimate the association.

RESULTS

A total of 1 970 496 episodes of LVC was identified among 1 218 146 beneficiary-year observations and 2054 hospital-year observations. Overall, the utilization rate of the composite measure increased from 150.70 to 186.23 episodes per 10 000 beneficiaries with the growth in cost from US$ 5.40 to US$ 6.90 million. LVC utilization was proportional to the volume of outpatient visits and length of stay. Also, hospitals with a large volume of outpatient visits (adjusted odds ratio [aOR]: 95% CI, 2.10: 1.26 to 3.49 for Q2-Q3, 2.88: 1.45 to 5.75 for ≥Q3) and a higher proportion of older patients (aOR: 95% CI, 1.06: 1.02 to 1.11) were more likely to have high costs.

CONCLUSION

The utilization and corresponding cost of LVC appeared to increase annually despite the relatively lower prevalence compared to other countries. Multicomponent interventions such as recommendations, de-implementation policies and payment reforms are considered effective ways to reduce LVC. Repeated measurements would be needed to evaluate the effectiveness of interventions.

Patient, provider, and system-level factors associated with preoperative cardiac testing: A systematic review

BACKGROUND

Overuse of preoperative cardiac testing contributes to high healthcare costs and delayed surgeries. A large body of research has evaluated factors associated with variation in preoperative cardiac testing. However, patient, provider, and system-level factors associated with variation in testing have not been systematically studied.

OBJECTIVE

To conduct a systematic review to better delineate the patient, provider, and system-level factors associated with variation in preoperative cardiac testing.

METHODS

We included studies of an adult US population evaluating a patient, provider, or system-level factor associated with variation in preoperative cardiac testing for noncardiac surgery since 2012. Our search strategy used terms related to preoperative testing, diagnostic cardiac tests, and care variation with Ovid MEDLINE and Embase from inception through January 2023. We extracted study characteristics and factors associated with variation and qualitatively analyzed them. We assessed risk of bias using the Newcastle-Ottawa Scale and Evidence Project Risk of Bias tool.

RESULTS

Twenty-eight articles met inclusion criteria. Older age and higher comorbidity were strongly associated with higher-intensity testing. The evidence for provider and system-level covariates was weaker. However, there was strong evidence that a focus on primary care and away from preoperative clinic and cardiac consultations was associated with less testing and that interventions to reduce low-value testing can be successful.

CONCLUSIONS

There is significant interprovider and interhospital variation in preoperative cardiac testing, the correlates of which are not well-defined. Further work should aim to better understand these factors.

Differences in use of high- and low-value health care between immigrant and US-born adults

OBJECTIVE

To examine differences in the use of high- and low-value health care between immigrant and US-born adults.

DATA SOURCE

The 2007-2019 Medical Expenditure Panel Survey.

STUDY DESIGN

We split the sample into younger (ages 18-64 years) and older adults (ages 65 years and over). Our outcome measures included the use of high-value care (eight services) and low-value care (seven services). Our key independent variable was immigration status. For each outcome, we ran regressions with and without individual-level characteristics.

DATA COLLECTION/EXTRACTION METHODS

N/A.

PRINCIPAL FINDINGS

Before accounting for individual-level characteristics, the use of high- and low-value care was lower among immigrant adults than US-born adults. After accounting for individual-level characteristics, this difference decreased in both groups of younger and older adults. For high-value care, significant differences were observed in five services and the direction of the differences was mixed. The use of breast cancer screening was lower among immigrant than US-born younger and older adults (-5.7 [95% CI: -7.4 to -3.9] and -2.9 percentage points [95% CI: -5.6 to -0.2]) while the use of colorectal cancer screening was higher among immigrant than US-born younger and older adults (2.6 [95% CI: 0.5 to 4.8] and 3.6 [95% CI: 0.2 to 7.0] percentage points). For low-value care, we did not identify significant differences except for antibiotics for acute upper respiratory infection among younger adults and opioids for back pain among older adults (-3.5 [95% CI: -5.5 to -1.5] and -3.8[95% CI: -7.3 to -0.2] percentage points). Particularly, differences in socioeconomic status, health insurance, and care access between immigrant and US-born adults played a key role in accounting for differences in the use of high- and low-value health care. The use of high-value care among immigrant and US-born adults increased over time, but the use of low-value care did not decrease.

CONCLUSION

Differential use of high- and low-value care between immigrant and US-born adults may be partly attributable to differences in individual-level characteristics, especially socioeconomic status, health insurance, and access to 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.

Diagnostic Technology: Trends of Use and Availability in a 10-Year Period (2011-2020) among Sixteen OECD Countries

BACKGROUND

Overuse of imaging results in cost increases, with little to no benefit to patients. The purpose of this study is to evaluate imaging tests and radiology equipment over a ten-year period in 16 Organisation for Economic Co-operation and Development (OECD) countries.

METHODS

Twelve countries were included in a time-trend analysis based on OECD indicators on diagnostic imaging (computer tomography [CT], magnetic resonance imaging [MRI], and positron emission tomography [PET]). These annual indicators included the number of exams per 1000 population, the number of devices per million population, and the number of exams per device. Average annual percent change was used to measure country-specific trends.

RESULTS

Most countries saw a rise in the exam-to-scanner ratio for CT, MRI, and PET, demonstrating a faster increase in exam volume than device volume. Italy exhibited an increase in CT, MRI, and PET equipment units during the same period, but not in exams, most likely due to a reduction in medical procedures during the pandemic. Only in Luxemburg, CT and PET examinations increased despite a reduction in scanners.

CONCLUSIONS

Considering the expected increasing demand for diagnostics due to the evolving needs of the population, proper governance and resource allocation are necessary requirements for cost-efficient health systems.

What Difference Does a Health Plan Make? Evidence from Random Plan Assignment in Medicaid

Exploiting the random assignment of Medicaid beneficiaries to managed care plans, we find substantial plan-specific spending effects despite plans having identical cost sharing. Enrollment in the lowest-spending plan reduces spending by at least 25%-primarily through quantity reductions-relative to enrollment in the highest-spending plan. Rather than reducing "wasteful" spending, lower-spending plans broadly reduce medical service provision-including the provision of low-cost, high-value care-and worsen beneficiary satisfaction and health. Consumer demand follows spending: a 10 percent increase in plan-specific spending is associated with a 40 percent increase in market share. These facts have implications for the government's contracting problem and program cost growth.

Comparison of Low-Value Care Among Commercial and Medicaid Enrollees

BACKGROUND

Low-value healthcare is costly and inefficient and may adversely affect patient outcomes. Despite increases in low-value service use, little is known about how the receipt of low-value care differs across payers.

OBJECTIVE

To evaluate differences in the use of low-value care between patients with commercial versus Medicaid coverage.

DESIGN

Retrospective observational analysis of the 2017 Rhode Island All-payer Claims Database, estimating the probability of receiving each of 14 low-value services between commercial and Medicaid enrollees, adjusting for patient sociodemographic and clinical characteristics. Ensemble machine learning minimized the possibility of model misspecification.

PARTICIPANTS

Medicaid and commercial enrollees aged 18-64 with continuous coverage and an encounter at which they were at risk of receiving a low-value service.

INTERVENTION

Enrollment in Medicaid or Commercial insurance.

MAIN MEASURES

Use of one of 14 validated measures of low-value care.

KEY RESULTS

Among 110,609 patients, Medicaid enrollees were younger, had more comorbidities, and were more likely to be female than commercial enrollees. Medicaid enrollees had higher rates of use for 7 low-value care measures, and those with commercial coverage had higher rates for 5 measures. Across all measures of low-value care, commercial enrollees received more (risk difference [RD] 6.8 percentage points; CI: 6.6 to 7.0) low-value services than their counterparts with Medicaid. Commercial enrollees were also more likely to receive low-value services typically performed in the emergency room (RD 11.4 percentage points; CI: 10.7 to 12.2) and services that were less expensive (RD 15.3 percentage points; CI 14.6 to 16.0).

CONCLUSION

Differences in the provision of low-value care varied across measures, though average use was slightly higher among commercial than Medicaid enrollees. This difference was more pronounced for less expensive services indicating that financial incentives may not be the sole driver of low-value care.

The environmental cost of unwarranted variation in the use of magnetic resonance imaging and computed tomography scans

BACKGROUND

Pollution is a major threat to global health, and there is growing interest on strategies to reduce emissions caused by health care systems. Unwarranted clinical variation, i.e. variation in the utilization of health services unexplained by differences in patient illness or preferences, may be an avoidable source of CO2 when related to overuse. Our objective was to evaluate the CO2 emissions attributable to unwarranted variation in the use of MRI and CT scans among countries of the G20-area.

METHODS

We selected seven countries of the G20-area with available data on the use of CT and MRI scans from the organization for Economic Co-operation and Development repository. Each nation's annual electric energy expenditure per 1000 inhabitants for such exams (T-En_ex-1000) was calculated and compared with the median and lowest value. Based on such differences we estimated the national energy and corresponding tons of CO2 that could be potentially avoided each year.

RESULTS

With available data we found a significant variation in T-En_ex-1000 (median value 1782 kWh, range 1200-3079 kWh) and estimated a significant amount of potentially avoidable emissions each year (range 2046-175120 tons of CO2). In practical terms such emissions would need, in the case of Germany, 71900 and 104210 acres of forest to be cleared from the atmosphere, which is 1.2 and 1.7 times the size of the largest German forest (Bavarian National Forest).

CONCLUSION

Among countries with a similar rate of development, unwarranted clinical variation in the use of MRI and CT scan causes significant emissions of CO2.

Characterizing the Relationship Between Payer Mix and Diagnostic Intensity at the Hospital Level

BACKGROUND

Overuse of diagnostic testing in the hospital setting contributes to high healthcare costs, yet the drivers of diagnostic overuse in this setting are not well-understood. If financial incentives play an important role in perpetuating hospital-level diagnostic overuse, then hospitals with favorable payer mixes might be more likely to exhibit high levels of diagnostic intensity.

OBJECTIVES

To apply a previously developed hospital-level diagnostic intensity index to characterize the relationship between payer mix and diagnostic intensity.

DESIGN

Cross-sectional analysis SUBJECTS: Acute care hospitals in seven states MAIN MEASURES: We utilized a diagnostic intensity index to characterize the level of diagnostic intensity at a given hospital (with higher index values and tertiles signifying higher levels of diagnostic intensity). We used two measures of payer mix: (1) a hospital's ratio of discharges with Medicare and Medicaid as the primary payer to those with a commercial insurer as the primary payer, (2) a hospital's disproportionate share hospital ratio.

KEY RESULTS

A 5-fold increase in the Medicare or Medicaid to commercial insurance ratio was associated with an adjusted odds ratio of 0.24 (95% CI 0.16-0.36) of being in a higher tertile of the intensity index. A ten percentage point increase in the disproportionate share hospital ratio was associated with an adjusted odds ratio of 0.56 (95% CI 0.42-0.74) of being in a higher intensity index tertile.

CONCLUSIONS

At the hospital level, a favorable payer mix is associated with higher diagnostic intensity. This suggests that financial incentives may be a driver of diagnostic overuse.

The Association of the First Surge of the COVID-19 Pandemic with the High- and Low-Value Outpatient Care Delivered to Adults in the USA

BACKGROUND

The first surge of the COVID-19 pandemic entirely altered healthcare delivery. Whether this also altered the receipt of high- and low-value care is unknown.

OBJECTIVE

To test the association between the April through June 2020 surge of COVID-19 and various high- and low-value care measures to determine how the delivery of care changed.

DESIGN

Difference in differences analysis, examining the difference in quality measures between the April through June 2020 surge quarter and the January through March 2020 quarter with the same 2 quarters' difference the year prior.

PARTICIPANTS

Adults in the MarketScan® Commercial Database and Medicare Supplemental Database.

MAIN MEASURES

Fifteen low-value and 16 high-value quality measures aggregated into 8 clinical quality composites (4 of these low-value).

KEY RESULTS

We analyzed 9,352,569 adults. Mean age was 44 years (SD, 15.03), 52% were female, and 75% were employed. Receipt of nearly every type of low-value care decreased during the surge. For example, low-value cancer screening decreased 0.86% (95% CI, -1.03 to -0.69). Use of opioid medications for back and neck pain (DiD +0.94 [95% CI, +0.82 to +1.07]) and use of opioid medications for headache (DiD +0.38 [95% CI, 0.07 to 0.69]) were the only two measures to increase. Nearly all high-value care measures also decreased. For example, high-value diabetes care decreased 9.75% (95% CI, -10.79 to -8.71).

CONCLUSIONS

The first COVID-19 surge was associated with receipt of less low-value care and substantially less high-value care for most measures, with the notable exception of increases in low-value opioid use.

Comparison of Low-Value Services Among Medicare Advantage and Traditional Medicare Beneficiaries

Question

Do rates of low-value care differ between traditional Medicare (TM) and Medicare Advantage (MA), and, if so, what elements of insurance design are associated with the differences?

Findings

In this cross-sectional study of 2 470 199 Medicare beneficiaries, those enrolled in MA received 9.2% fewer low-value services than those in TM (23.1 vs 25.4 total low-value services per 100 beneficiaries). The MA beneficiaries in health maintenance organizations and those in primary care organizations reimbursed within advanced value-based payment models had the lowest rates of low-value care.

Meaning

The study results suggest that low-value care is less common in MA than TM, with elements of insurance design present in MA associated with fewer low-value services.

Importance

Low-value care in the Medicare program is prevalent, costly, potentially harmful, and persistent. Although Medicare Advantage (MA) plans can use managed care strategies not available in traditional Medicare (TM), it is not clear whether this flexibility is associated with lower rates of low-value care.

Objectives

To compare rates of low-value services between MA and TM beneficiaries and explore how elements of insurance design present in MA are associated with the delivery of low-value care.

Design, Setting, and Participants

This cross-sectional study analyzed beneficiaries enrolled in MA and TM using claims data from a large, national MA insurer and a random 5% sample of TM beneficiaries. The study period was January 1, 2017, through December 31, 2019. All analyses were conducted from July 2021 to March 2022.

Exposures

Enrollment in MA vs TM.

Main Outcomes and Measures

Low-value care was assessed using 26 claims-based measures. Regression models were used to estimate the association between MA enrollment and rates of low-value services while controlling for beneficiary characteristics. Stratified analyses explored whether network design, product design, value-based payment, or utilization management moderated differences in low-value care between MA and TM beneficiaries and among MA beneficiaries.

Results

Among a study population of 2 470 199 Medicare beneficiaries (mean [SD] age, 75.6 [7.0] years; 1 346 777 [54.5%] female; 229 107 [9.3%] Black and 2 126 353 [86.1%] White individuals), 1 527 763 (61.8%) were enrolled in MA and 942 436 (38.2%) were enrolled in TM. Beneficiaries enrolled in MA received 9.2% (95% CI, 8.5%-9.8%) fewer low-value services in 2019 than TM beneficiaries (23.1 vs 25.4 total low-value services per 100 beneficiaries). Although MA beneficiaries enrolled in health management organization and preferred provider organization products received fewer low-value services than TM beneficiaries, the difference was largest for those enrolled in health management organization products (2.6 fewer [95% CI, 2.4-2.8] vs 2.1 fewer [95% CI, 1.9-2.3] services per 100 beneficiaries, respectively). Across primary care payment arrangements, MA beneficiaries received fewer low-value services than TM beneficiaries, with the largest difference observed for MA beneficiaries whose primary care physicians were reimbursed within 2-sided risk arrangements.

Conclusions and Relevance

In this cross-sectional study of Medicare beneficiaries, those enrolled in MA had lower rates of low-value care than those enrolled in TM; elements of insurance design present in the MA program and absent in TM were associated with reduction in low-value care.

National governance of de-implementation of low-value care: a qualitative study in Sweden

BACKGROUND

The de-implementation of low-value care (LVC) is important to improving patient and population health, minimizing patient harm and reducing resource waste. However, there is limited knowledge about how the de-implementation of LVC is governed and what challenges might be involved. In this study, we aimed to (1) identify key stakeholders' activities in relation to de-implementing LVC in Sweden at the national governance level and (2) identify challenges involved in the national governance of the de-implementation of LVC.

METHODS

We used a purposeful sampling strategy to identify stakeholders in Sweden having a potential role in governing the de-implementation of LVC at a national level. Twelve informants from nine stakeholder agencies/organizations were recruited using snowball sampling. Semi-structured interviews were conducted, transcribed and analysed using inductive thematic analysis.

RESULTS

Four potential activities for governing the de-implementation of LVC at a national level were identified: recommendations, health technology assessment, control over pharmaceutical products and a national system for knowledge management. Challenges involved included various vested interests that result in the maintenance of LVC and a low overall priority of working with the de-implementation of LVC compared with the implementation of new evidence. Ambiguous evidence made it difficult to clearly determine whether a practice was LVC. Unclear roles, where none of the stakeholders perceived that they had a formal mandate to govern the de-implementation of LVC, further contributed to the challenges involved in governing that de-implementation.

CONCLUSIONS

Various activities were performed to govern the de-implementation of LVC at a national level in Sweden; however, these were limited and had a lower priority relative to the implementation of new methods. Challenges involved relate to unfavourable change incentives, ambiguous evidence, and unclear roles to govern the de-implementation of LVC. Addressing these challenges could make the national-level governance of de-implementation more systematic and thereby help create favourable conditions for reducing LVC in healthcare.

Exploring emergency physicians’ knowledge, attitudes, and behaviour towards Choosing Wisely in Taiwan

Background

In 2012, the American Board of Internal Medicine Foundation launched the Choosing Wisely campaign to reduce unnecessary care. However, it is unclear how much emergency physicians in Taiwan understand about Choosing Wisely. The purpose of this study was to explore the knowledge, attitude, and behaviour of emergency physicians in Taiwan regarding Choosing Wisely and its related factors; the intention was to identify the baseline knowledge on the basis of which to promote Choosing Wisely in Taiwan.

Methods

This was a cross-sectional study including emergency physicians in Taiwan as research subjects who answered online questionnaires. A 42-item questionnaire was designed according to the Knowledge, Attitude, and Behaviour model (KAB). The questionnaire linkages were delivered to emergency physicians through social media (eg., Line, Facebook) and received assistance from different hospital directors. A total of 162 valid questionnaires were collected. Data analyses include t-test, analysis of variance, chi-square test, Pearson’s correlation, and multivariate linear regression model.

Results

The study determined that although only 38.9% of emergency physicians had heard of Choosing Wisely, the mean correct rate of knowledge score among emergency physicians was 70.1%. Attitude and the behaviour related to Choosing Wisely were positively associated, which means that the more positive the attitude towards Choosing Wisely is, the more positive the behaviour towards Choosing Wisely is. In multiple linear regression analyses, having served as a supervisor, belonging to divisions of health insurance service, and having heard of Choosing Wisely (P < 0.05) positively affect the knowledge of Choosing Wisely, but age presented a negative association.

Conclusion

This study found that physicians’ knowledge does not influence their attitudes and behaviours, which may be related to barriers of practicing Choosing Wisely activities. To effectively promote Choosing Wisely campaign, it is recommended to focus on the significant factors associated with emergency physicians’ perceptions regarding knowledge, attitude, and behavior of Choosing Wisely. Based on these factors, appropriate practice guidelines for Choosing Wisely can be formulated and promoted.

Identifying drivers of health care value: a scoping review of the literature

Background

As health care spending reaches unsustainable levels, improving value has become an increasingly important policy priority. Relatively little research has explored factors driving value. As a first step towards filling this gap, we performed a scoping review of the literature to identify potential drivers of health care value.

Methods

Searches of PubMed, Embase, Google Scholar, Policy File, and SCOPUS were conducted between February and March 2020. Empirical studies that explored associations between any range of factors and value (loosely defined as quality or outcomes relative to cost) were eligible for inclusion. We created a template in Microsoft Excel for data extraction and evaluated the quality of included articles using the Critical Appraisal Skills Programme (CASP) quality appraisal tool. Data was synthesized using narrative methods.

Results

Twenty-two studies were included in analyses, of which 20 focused on low value service utilization. Independent variables represented a range of system-, hospital-, provider-, and patient-level characteristics. Although results were mixed, several consistent findings emerged. First, insurance incentive structures may affect value. For example, patients in Accountable Care Organizations had reduced rates of low value care utilization compared to patients in traditionally structured insurance plans. Second, higher intensity of care was associated with higher rates of low value care. Third, culture is likely to contribute to value. This was suggested by findings that recent medical school graduation and allopathic training were associated with reduced low value service utilization and that provider organizations had larger effects on value than did individual physicians.

Conclusions

System, hospital, provider, and community characteristics influence low value care provision. To improve health care value, strategies aiming to reduce utilization of low value services and promote high value care across various levels will be essential.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08225-6.

Patient Symptoms and Stress Testing After Elective Percutaneous Coronary Intervention in the Veterans Affairs Health Care System

IMPORTANCE

Up to 60% of patients in the US receive a stress test within 2 years of percutaneous coronary intervention (PCI), prompting concerns about the possible overuse of stress testing.

OBJECTIVE

To examine the proportion of patients who underwent stress testing within 2 years of elective PCI, proportion of patients who had symptoms that were consistent with coronary artery disease (CAD), timing of stress testing, and site-level variation in stress testing among symptomatic and asymptomatic patients.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used administrative claims data and clinical records from the US Department of Veterans Affairs (VA) Clinical Assessment, Reporting, and Tracking program. Patients who underwent stress testing within 2 years of elective PCI for stable CAD between November 1, 2013, and October 31, 2015, at 64 VA facilities were included in the analysis. Patients who received stress testing for staging purposes, cardiac rehabilitation evaluation, or preoperative testing before high-risk surgery were excluded. Data were analyzed from June to December 2020.

MAIN OUTCOMES AND MEASURES

The main outcome was the proportion of patients who underwent stress testing and had symptoms that were consistent with obstructive CAD, using definitions from the 2013 clinical practice guideline (Multimodality Appropriate Use Criteria for the Detection and Risk Assessment of Stable Ischemic Heart Disease). Secondary outcomes were the timing of stress testing (assessed using a cumulative incidence curve) and site-level variation in stress testing (assessed using multilevel logistic regression models).

RESULTS

A total of 3705 consecutive patients (mean [SD] age 66.3 [7.6] years; 3656 men [98.7%]; 437 Black individuals [11.8%], 3175 White individuals [85.7%], and 93 individuals [2.5%] of other races and ethnicities [Asian, Hispanic or Latinx, or unknown]) had elective PCI. Of these patients, 916 (24.7%) received a stress test within 2 years, among whom 730 (79.7%) had symptoms that were consistent with obstructive CAD at the time of stress testing. Visual inspection of a cumulative incidence curve for stress testing showed no rapid increases in stress testing at 6 months or 1 year after PCI, which might coincide with routine clinical visits. The proportion of symptomatic patients who underwent stress testing at each VA site ranged from 67.7% to 100%, with no significant site-level variation in stress testing.

CONCLUSIONS AND RELEVANCE

Results of this study suggest that most veterans who underwent stress testing within 2 years after elective PCI had symptoms that were consistent with obstructive CAD. Therefore, measuring low-value stress testing using only administrative claims data may overestimate its prevalence, and concerns about overuse of post-PCI stress testing may be overstated.

Low-value pharmaceutical care among Dutch GPs: a retrospective cohort study

BACKGROUND

Low-value pharmaceutical care exists in general practice. However, the extent among Dutch GPs remains unknown.

AIM

To assess the prevalence of low-value pharmaceutical care among Dutch GPs.

DESIGN AND SETTING

Retrospective cohort study using data from patient records.

METHOD

The prevalence of three types of pharmaceutical care prescribed by GPs between 2016 and 2019 were examined: topical antibiotics for conjunctivitis, benzodiazepines for non-specific lower back pain, and chronic acid-reducing medication (ARM) prescriptions. Multilevel logistic regression analysis was performed to assess prescribing variation and the influence of patient characteristics on receiving a low-value prescription.

RESULTS

Large variation in prevalence as well as practice variation was observed among the types of low-value pharmaceutical GP care examined. Between 53% and 61% of patients received an inappropriate antibiotics prescription for conjunctivitis, around 3% of patients with lower back pain received an inappropriate benzodiazepine prescription, and 88% received an inappropriate chronic ARM prescription during the years examined. The odds of receiving an inappropriate antibiotic or benzodiazepine prescription increased with age (P<0.001), but decreased for chronic inappropriate ARM prescriptions (P<0.001). Sex affected only the odds of receiving a non-indicated chronic ARM, with males being at higher risk (P<0.001). The odds of receiving an inappropriate ARM increased with increasing neighbourhood socioeconomic status (P<0.05). Increasing practice size decreased the odds of inappropriate antibiotic and benzodiazepine prescriptions (P<0.001).

CONCLUSION

The results show that the prevalence of low-value pharmaceutical GP care varies among these three clinical problems. Significant variation in inappropriate prescribing exists between different types of pharmaceutical care - and GP practices.

Strategies to Reduce Low-Value Cardiovascular Care: A Scientific Statement From the American Heart Association

Low-value health care services that provide little or no benefit to patients are common, potentially harmful, and costly. Nearly half of the patients in the United States will receive at least 1 low-value test or procedure annually, creating risk of avoidable complications from subsequent cascades of care and excess costs to patients and society. Reducing low-value care is of particular importance to cardiovascular health given the high prevalence and costs of cardiovascular disease in the United States. This scientific statement describes the current scope and impact of low-value cardiovascular care; reviews existing literature on patient-, clinician-, health system-, payer-, and policy-level interventions to reduce low-value care; proposes solutions to achieve meaningful and equitable reductions in low-value care; and suggests areas for future research priorities.

Physician Practice Pattern Variations in Common Clinical Scenarios Within 5 US Metropolitan Areas

Question

To what extent do physician-level variations in the appropriateness or quality of care exist within metropolitan areas, notably among specialists?

Findings

In this cross-sectional study of 8788 physicians across 7 specialties in 5 US metropolitan areas, sizeable physician-level practice pattern variations were evident across 14 common clinical scenarios where practice guidelines and clinical evidence can help discern, on average, the appropriateness or quality of clinical decisions. Variations were robust to adjustment for patient and area-level characteristics, and measure reliability was generally high.

Meaning

Within-area physician-level variations in practice patterns were qualitatively similar across clinical scenarios, despite practice guidelines designed to reduce variation.

Importance

While variations in quality of care have been described between US regions, physician-level practice pattern variations within regions remain poorly understood, notably among specialists.

Objective

To examine within-area physician-level variations in decision-making in common clinical scenarios where guidelines specifying appropriateness or quality of care exist.

Design, Setting, and Participants

This cross-sectional study used 2016 through 2019 data from a large nationwide network of commercial insurers, provided by Health Intelligence Company, LLC, within 5 metropolitan statistical areas (MSAs). Physician-level variations in appropriateness and quality of care were measured using 14 common clinical scenarios involving 7 specialties. The measures were constructed using public quality measure definitions, clinical guidelines, and appropriateness criteria from the clinical literature. Physician performance was calculated using a multilevel model adjusted for patient age, sex, risk score, and socioeconomic status with physician random effects. Measure reliability for each physician was calculated using the signal-to-noise approach. Within-MSA variation was calculated between physician quintiles adjusted for patient attributes, with the first quintile denoting highest quality or appropriateness and the fifth quintile reflecting the opposite. Data were analyzed March through October 2021.

Main Outcomes and Measures

Fourteen measures of quality or appropriateness of care, with 2 measures each in the domains of cardiology, endocrinology, gastroenterology, pulmonology, obstetrics, orthopedics, and neurosurgery.

Results

A total of 8788 physicians were included across the 5 MSAs, and about 2.5 million unique patient-physician pairs were included in the measures. Within the 5 MSAs, on average, patients in the measures were 34.7 to 40.7 years old, 49.1% to 52.3% female, had a mean risk score of 0.8 to 1.0, and more likely to have an employer-sponsored insurance plan that was either self-insured or fully insured (59.8% to 97.6%). Within MSAs, physician-level variations were qualitatively similar across measures. For example, statin therapy in patients with coronary artery disease ranged from 54.3% to 70.9% in the first quintile of cardiologists to 30.5% to 42.6% in the fifth quintile. Upper endoscopy in patients with gastroesophageal reflux disease without alarm symptoms spanned 14.6% to 16.9% in the first quintile of gastroenterologists to 28.2% to 33.8% in the fifth quintile. Among patients with new knee or hip osteoarthritis, 2.1% to 3.4% received arthroscopy in the first quintile of orthopedic surgeons, whereas 25.5% to 30.7% did in the fifth quintile. Appropriate prenatal screening among pregnant patients ranged from 82.6% to 93.6% in the first quintile of obstetricians to 30.9% to 65.7% in the fifth quintile. Within MSAs, adjusted differences between quintiles approximated unadjusted differences. Measure reliability, which can reflect consistency and reproducibility, exceeded 70.0% across nearly all measures in all MSAs.

Conclusions and Relevance

In this cross-sectional study of 5 US metropolitan areas, sizeable physician-level practice variations were found across common clinical scenarios and specialties. Understanding the sources of these variations may inform efforts to improve the value of care.

Adverse Discharge Outcomes Associated With the Medicare Hospital Readmissions Reduction Program Among Commercially Insured Adults

ABSTRACT

It is unknown if changes in the rate of discharges against medical advice (DAMA) are related to the implementation of the Medicare Hospital Readmissions Reduction Program (HRRP). We performed an interrupted time series analysis of monthly DAMA rates per 1,000 discharges of all enrolled individuals 18-64 years old with a hospitalization between January 1, 2006, and December 31, 2015, in a commercially insured population. We performed a segmented linear regression with two interruptions: (1) April 2010 to coincide with the passage of the HRRP and (2) October 2012 to coincide with the implementation of HRRP penalties. There were 1,087,812 discharges representing 668,823 individuals over 120 months. The downward trend in monthly DAMA rates was reversed significantly after April 2010 with a sustained 0.1 increase in the monthly rate that continued after the implementation of penalties in October 2012. Allowing for the two interruptions, there was a statistically significant positive trend (0.10; 0.06-0.13, p < .01) in April 2010. Relative to the first interruption, there was no statistically significant change in the slope in October 2012; the estimated slope was -0.04 (-0.08 to 0.002). Monthly DAMA rates increased in anticipation of and after HRRP implementation, suggesting a potential relationship between the HRRP and DAMA.

Dizziness Diagnostic Pathways: Factors Impacting Setting, Provider, and Diagnosis at Presentation

OBJECTIVE

Ensuring that patients with dizziness present to the most appropriate level of care and provider are key goals of quality and cost improvement efforts. Using a symptom-defined cohort of adults presenting for dizziness evaluations, we aimed to identify patient factors associated with ambulatory clinic vs emergency department (ED) presentations, evaluating provider specialty, and assigned diagnoses.

STUDY DESIGN

Cross-sectional study.

SETTING

OptumLabs Data Warehouse (OLDW), a longitudinal, real-world data asset with deidentified administrative claims.

METHODS

We performed a cross-sectional analysis of adults (older than 18 years) who received new dizziness diagnoses (2006-2015) and identified factors associated with setting and provider at initial presentation using multivariable regression models.

RESULTS

Of 805,454 individuals with dizziness (median age 52 years, 62% women, 29% black, Asian, or Hispanic), 23% presented to EDs and 77% to clinics (76% primary care, 7% otolaryngology, 5% cardiology, 3% neurology). Predictors of ED presentation were younger age, male sex, black race, lower education, and medical comorbidity. Predictors of primary care clinic presentation were older age and race/ethnicity other than white. Nonetiologic symptom diagnoses alone were assigned to 51% and were most associated with age older than 75 years (odds ratio, 2.90; 95% CI, 2.86-2.94).

CONCLUSION

Adults with dizziness often present to a level of care that may be higher than is optimal. Differential care seeking and diagnoses by age, sex, and race/ethnicity reflect influences beyond dizziness presentation acuity. Targeted patient resources, triage systems, provider education, and cross-specialty partnerships are needed to direct dizzy patients to appropriate settings and providers to improve care.

Rates of Low-Value Service in Australian Public Hospitals and the Association With Patient Insurance Status

IMPORTANCE

Low-value services have limited or no benefit to patients. Rates of low-value service in public hospitals may vary by patient insurance status, given that there may be different financial incentives for treatment of privately insured patients.

OBJECTIVE

To assess the variation in rates of 5 low-value services performed in Australian public hospitals according to patient funding status (ie, private or public).

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cross-sectional study analyzed New South Wales public hospital data from January 2013 to June 2018. Patients included in the sample were over age 18 years and eligible to receive low-value services based on diagnoses and concomitant procedures. Data analysis was conducted from June to December 2020.

MAIN OUTCOMES AND MEASURES

Hospital-specific rates of low-value knee arthroscopic debridement, vertebroplasty for osteoporotic spinal fractures, hyperbaric oxygen therapy, oophorectomy with hysterectomy, and laparoscopic uterine nerve ablation for chronic pelvic pain were measured. For each measure, rates within each public hospital were compared by patient funding status descriptively and using multilevel models.

RESULTS

A total of 219 862 inpatients were included in analysis from 58 public hospitals across the 5 measures. A total of 38 365 (22 904 [59.7%] women; 12 448 [32.4%] aged 71-80 years) were eligible for knee arthroscopic debridement for osteoarthritis; 2520 (1924 [76.3%] women; 662 [26.3%] aged 71-80 years), vertebroplasty for osteoporotic spinal fractures; 162 285 (82 046 [50.6%] women; 28 255 [17.4%] aged 61-70 years), hyperbaric oxygen therapy; 15 916 (7126 [44.8%] aged 41-50 years), oophorectomy with hysterectomy; and 776 (327 [42.1%] aged 18-30 years), uterine nerve ablation for chronic pelvic pain. Overall rates of low-value services varied considerably between measures, with the lowest rate for hyperbaric oxygen therapy (0.3 procedures per 1000 inpatients [47 of 158 220 eligible inpatients]) and the highest for vertebroplasty (30.8 procedures per 1000 eligible patients [77 of 2501 eligible inpatients]). There was significant variation in rates between hospitals, with a few outlying hospitals (ie, <10), particularly for knee arthroscopy (range from 1.8 to 21.0 per 1000 eligible patients) and vertebroplasty (range from 13.1 to 70.4 per 1000 eligible patients), with higher numerical rates of low-value services among patients with private insurance than for those without. However, there was no association overall between patient insurance status and low-value services. Overall differences in rates among those with and without private insurance by individual procedure type were not statistically significant.

CONCLUSIONS AND RELEVANCE

There was significant variation in rates of low-value services in public hospitals. While there was no overall association between private insurance and rate of low-value services, private insurance may be associated with low-value service rates in some hospitals. Further exploration of factors specific to local hospitals and practices are needed to reduce this unnecessary care.

Low-Value Diagnostic Imaging in Children with Medicaid

OBJECTIVES

To estimate rates and settings of low-value imaging among pediatric Medicaid beneficiaries and estimate the associated expenditures.

STUDY DESIGN

Retrospective longitudinal cohort study from 2014 to 2016 of children <18 years enrolled in Pennsylvania Medicaid. Outcomes were rates of low-value imaging for 5 conditions identified by diagnosis codes, healthcare settings of imaging performance, and cost based on paid amounts.

RESULTS

Of the 645 767 encounters for the 5 conditions, there were 37 525 (5.8%) low-value imaging services. Per 1000 encounters, there were 246.0 radiographs for bronchiolitis, 174.0 head computed tomography (CT) studies for minor head trauma, 155.0 and 33.3 neuroimaging studies for headache and simple febrile seizure, respectively, and 19.5 abdominal CT scans (without prior ultrasound examination) for abdominal pain. Rates of low-value imaging were highest in non-Hispanic White children and those in rural areas. In adjusted analysis, non-Hispanic White children were more likely to receive a CT scan for abdominal pain, and Black children were more likely to have imaging for bronchiolitis and minor head trauma. For individual conditions, up to 87.9% of low-value imaging (CT scan for minor head trauma) was in the emergency department (ED), with most imaging across all conditions occurring in nonpediatric EDs, up to 42.2% was in the outpatient setting (neuroimaging for headache), and up to 20.7% was during inpatient encounters (neuroimaging for febrile seizure). Outpatient and ED low-value imaging resulted in more than $7 million in Medicaid expenditures.

CONCLUSIONS

Among the studied conditions, more than 1 in 20 encounters included low-value imaging, mostly in nonpediatric EDs and for bronchiolitis, head trauma, and headache. Interventions are needed to decrease the future performance of these low-value services.

Factors associated with adherence to follow-up calls in cancer patients receiving care at a community oncology practice

BACKGROUND

Follow-up calls in the oncology setting are frequently used to augment care and encourage oral antineoplastic adherence. However, limited data are available on patient populations that would benefit from this intervention versus populations that may require alternative interventions. The purpose of this study was to identify characteristics among patients on oral antineoplastic agents that influence their likelihood to respond to follow-up calls.

METHODS

Patients receiving care from one of the eight community oncology clinics within the same branch were analyzed. Patients were included if they were ≥18 years, received a new oral antineoplastic agent that was electronically prescribed between August 2018-October 2018, and picked up their first fill from their pharmacy of choice. Patients received up to six follow-up calls after picking up their first prescription. Calls were categorized as adherent (≥3 monthly interactions) or non-adherent (<3 monthly interactions). Logistic regression models were used to evaluate factors associated with follow-up call adherence. Factors included demographics, cancer stage, marital status, employment, pharmacy setting (internal pharmacy versus external pharmacy), and insurance used by the patient. Descriptive analysis was performed to analyze response rates, cancer diagnosis, and to determine the best time and day patients responded to follow-up calls.

RESULTS

Data from 125 patients were analyzed, of which 65 patients (52%) were adherent to follow-up calls and the mean response rate over six months was 45% (range: 35% -- 54%). High success rates for follow-up calls were seen between 12-3 pm and on Tuesdays and Thursdays. After adjusting for covariates, patients with stage III-IV were 89% less likely to respond to follow-up calls compared to those with stage 0-II (95% CI: 0.02-0.64; p = 0.01), patients with commercial insurance were 79% less likely to adhere to follow-up calls compared to those on government insurance (95% CI: 0.06-0.71; p = 0.01), and patients using an external pharmacy had a 2.8 times increase odds of being adherent (95% CI 0.98-8.34; p = 0.05). All other factors were not significant.

CONCLUSIONS

For patients taking oral antineoplastics, non-adherence to follow-up calls was observed in more than 45% of patients receiving care from a community oncology clinic. Findings demonstrated that those with advanced stages of cancer, on commercial insurance, and going to an internal pharmacy were at higher risk for not adhering to follow up calls. Therefore, alternative methods for managing adherence and side effects in these populations are warranted.

A Medicaid Alternative Payment Model Program In Oregon Led To Reduced Volume Of Imaging Services

The patient-centered medical home model aspires to fundamentally restructure care processes, but a volume-based payment system may hinder such transformations. In 2013 Oregon's Medicaid program changed its reimbursement of traditional primary care services for selected community health centers (CHCs) from a per visit to a per patient rate. Using Oregon claims data, we analyzed the price-weighted volume of care for five service areas: traditional primary care services, including imaging, tests, and procedures; other services provided by CHCs that were carved out from the payment reform; emergency department visits; inpatient services; and other services of non-CHC providers. We further subdivided traditional primary care services using Berenson-Eggers Type of Service categories of care. We compared participating and nonparticipating CHCs in Oregon before and after the payment model was implemented. The payment reform was associated with a 42.4 percent relative reduction in price-weighted traditional primary care services, driven fully by decreased use of imaging services. Other outcomes remained unaffected. Oregon's initiative could provide lessons for other states interested in using payment reform to advance the patient-centered medical home model for the Medicaid population.

Overuse of diagnostic testing in healthcare: a systematic review

BACKGROUND

Overuse of diagnostic testing substantially contributes to healthcare expenses and potentially exposes patients to unnecessary harm. Our objective was to systematically identify and examine studies that assessed the prevalence of diagnostic testing overuse across healthcare settings to estimate the overall prevalence of low-value diagnostic overtesting.

METHODS

PubMed, Web of Science and Embase were searched from inception until 18 February 2020 to identify articles published in the English language that examined the prevalence of diagnostic testing overuse using database data. Each of the assessments was categorised as using a patient-indication lens, a patient-population lens or a service lens.

RESULTS

118 assessments of diagnostic testing overuse, extracted from 35 studies, were included in this study. Most included assessments used a patient-indication lens (n=67, 57%), followed by the service lens (n=27, 23%) and patient-population lens (n=24, 20%). Prevalence estimates of diagnostic testing overuse ranged from 0.09% to 97.5% (median prevalence of assessments using a patient-indication lens: 11.0%, patient-population lens: 2.0% and service lens: 30.7%). The majority of assessments (n=85) reported overuse of diagnostic testing to be below 25%. Overuse of diagnostic imaging tests was most often assessed (n=96). Among the 33 assessments reporting high levels of overuse (≥25%), preoperative testing (n=7) and imaging for uncomplicated low back pain (n=6) were most frequently examined. For assessments of similar diagnostic tests, major variation in the prevalence of overuse was observed. Differences in the definitions of low-value tests used, their operationalisation and assessment methods likely contributed to this observed variation.

CONCLUSION

Our findings suggest that substantial overuse of diagnostic testing is present with wide variation in overuse. Preoperative testing and imaging for non-specific low back pain are the most frequently identified low-value diagnostic tests. Uniform definitions and assessments are required in order to obtain a more comprehensive understanding of the magnitude of diagnostic testing overuse.

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

Importance

Overuse of health care services exposes patients to unnecessary risk of harm and costs. Distinguishing patterns of overuse among hospitals requires hospital-level measures across multiple services.

Objective

To describe characteristics of hospitals associated with overuse of health care services in the US.

Design, Setting, and Participants

This retrospective cross-sectional analysis used Medicare fee-for-service claims data for beneficiaries older than 65 years from January 1, 2015, to December 31, 2017, with a lookback of 1 year. Inpatient and outpatient services were included, and services offered at specialty and federal hospitals were excluded. Patients were from hospitals with the capacity (based on a claims filter developed for this study) to perform at least 7 of 12 investigated services. Statistical analyses were performed from July 1, 2020, to December 20, 2020.

Main Outcomes and Measures

Outcomes of interest were a composite overuse score ranging from 0 (no overuse of services) to 1 (relatively high overuse of services) and characteristics of hospitals clustered by overuse rates. Twelve published low-value service algorithms were applied to the data to find overuse rates for each hospital, normalized and aggregated to a composite score and then compared across 6 hospital characteristics using multivariable regression. A k-means cluster analysis was used on normalized overuse rates to identify hospital clusters.

Results

The primary analysis was performed on 2415 cohort A hospitals (ie, hospitals with capacity for 7 or more services), which included 1 263 592 patients (mean [SD] age, 72.4 [14] years; 678 549 women [53.7%]; 101 017 191 White patients [80.5%]). Head imaging for syncope was the highest-volume low-value service (377 745 patients [29.9%]), followed by coronary artery stenting for stable coronary disease (199 579 [15.8%]). The mean (SD) composite overuse score was 0.40 (0.10) points. Southern hospitals had a higher mean score than midwestern (difference in means: 0.06 [95% CI, 0.05-0.07] points; P < .001), northeast (0.08 [95% CI, 0.06-0.09] points; P < .001), and western hospitals (0.08 [95% CI, 0.07-0.10] points; P < .001). Nonprofit hospitals had a lower adjusted mean score than for-profit hospitals (-0.03 [95% CI, -0.04 to -0.02] points; P < .001). Major teaching hospitals had significantly lower adjusted mean overuse scores vs minor teaching hospitals (difference in means, -0.07 [95% CI, -0.08 to -0.06] points; P < .001) and nonteaching hospitals (-0.10 [95% CI, -0.12 to -0.09] points; P < .001). Of the 4 clusters identified, 1 was characterized by its low counts of overuse in all services except for spinal fusion; the majority of major teaching hospitals were in this cluster (164 of 223 major teaching hospitals [73.5%]).

Conclusions and Relevance

This cross-sectional study used a novel measurement of hospital-associated overuse; results showed that the highest scores in this Medicare population were associated with nonteaching and for-profit hospitals, particularly in the South.

Effects of employer-offered high-deductible plans on low-value spending in the privately insured population

Enrollment in plans with high deductibles has increased more than seven-fold in the last decade. Proponents of these plans argue that high deductibles could reduce wasteful spending by providing patients with incentives to limit use of low-value services that offer little or no clinical benefit. Others are concerned that patients may respond to these incentives by reducing their use of medical services indiscriminately and regardless of clinical benefit, which may negatively impact health outcomes. This study uses individual-level insurance claims data (2008-2013) and plausibly exogenous changes in plan offerings within firms over time to estimate the intent-to-treat and local-average treatment effects of high-deductible plan offerings on spending on 24 low-value services received in the outpatient setting. We find that firm offer of a high-deductible plan leads to a 13.7% ($5.23) reduction in average enrollee spending on low-value outpatient services and a 5.2% ($105.77) reduction in overall outpatient spending. We also find reductions in spending on measures of low-value imaging and laboratory services. We find some evidence that offering high-deductible plans disproportionately reduces low-value spending relative to overall spending, indicating that deductibles may be a way to incentivize value-based decision making.

Determinants for the use and de-implementation of low-value care in health care: a scoping review

BACKGROUND

A considerable proportion of interventions provided to patients lack evidence of their effectiveness. This implies that patients may receive ineffective, unnecessary or even harmful care. However, despite some empirical studies in the field, there has been no synthesis of determinants impacting the use of low-value care (LVC) and the process of de-implementing LVC.

AIM

The aim was to identify determinants influencing the use of LVC, as well as determinants for de-implementation of LVC practices in health care.

METHODS

A scoping review was performed based on the framework by Arksey and O'Malley. We searched four scientific databases, conducted snowball searches of relevant articles and hand searched the journal Implementation Science for peer-reviewed journal articles in English. Articles were included if they were empirical studies reporting on determinants for the use of LVC or de-implementation of LVC. The abstract review and the full-text review were conducted in duplicate and conflicting decisions were discussed until consensus was reached. Data were charted using a piloted data charting form and the determinants were inductively coded and categorised in an iterative process conducted by the project group.

RESULTS

In total, 101 citations were included in the review. Of these, 92 reported on determinants for the use of LVC and nine on determinants for de-implementation. The studies were conducted in a range of health care settings and investigated a variety of LVC practices with LVC medication prescriptions, imaging and screening procedures being the most common. The identified determinants for the use of LVC as well as for de-implementation of LVC practices broadly concerned: patients, professionals, outer context, inner context, process and evidence and LVC practice. The results were discussed in relation to the Consolidated Framework for Implementation Research.

CONCLUSION

The identified determinants largely overlap with existing implementation frameworks, although patient expectations and professionals' fear of malpractice appear to be more prominent determinants for the use and de-implementation of LVC. Thus, existing implementation determinant frameworks may require adaptation to be transferable to de-implementation. Strategies to reduce the use of LVC should specifically consider determinants for the use and de-implementation of LVC.

REGISTRATION

The review has not been registered.

Are general practitioners referring patients with low back pain for CTs appropriately according to the guidelines: a retrospective review of 3609 medical records in Newfoundland using routinely collected data

Background

CT Imaging is often requested for patients with low back pain (LBP) by their general practitioners. It is currently unknown what reasons are common for these referrals and if CT images are ordered according to guidelines in one province in Canada, which has high rates of CT imaging. The objective of this study is to categorise lumbar spine CT referrals into serious spinal pathology, radicular syndrome, and non-specific LBP and evaluate the appropriateness of CT imaging referrals from general practitioners for patients with LBP.

Methods

A retrospective medical record review of electronic health records was performed in one health region in Newfoundland and Labrador, Canada. Inclusion criteria were lumbar spine CT referrals ordered by general practitioners for adults ≥18 years, and performed between January 1st-December 31st, 2016. Each CT referral was identified from linked databases (Meditech and PACS). To the study authors’ knowledge, guidelines regarding when to refer patients with low back pain for CT imaging had not been actively disseminated to general practitioners or implemented at clinics/hospitals during this time period. Data were manually extracted and categorised into three groups: red flag conditions (judged to be an appropriate referral), radicular syndrome (judged be unclear appropriateness), or nonspecific LBP (determined to be inappropriate).

Results

Three thousand six hundred nine lumbar spine CTs were included from 2016. The mean age of participants was 54.7 (SD 14 years), with females comprising 54.6% of referrals. 1.9% of lumbar CT referrals were missing/unclear, 6.5% of CTs were ordered on a red-flag suspicion, 75.6% for radicular syndromes, and 16.0% for non-specific LBP; only 6.5% of referrals were clearly appropriate. Key information including patient history and clinical exams performed at appointment were often missing from referrals.

Conclusion

This audit found high proportions of inappropriate or questionable referrals for lumbar spine CT and many were missing information needed to categorise. Further research to understand the drivers of inappropriate imaging and cost to the healthcare system would be beneficial.

Moral hazard effects of supplemental private health insurance in Korea

Supplemental private health insurance has gained popularity despite having a mandatory social health insurance program in Korea. Private insurance supplements the social insurance program by covering co-pays and services not covered by social insurance. Using longitudinal microdata from the 2008-2014 Korea Health Panel, this study finds evidence of favorable selection into supplemental private insurance. Results show that supplemental private insurance increases outpatient and hospitalization utilization. Private health insurance generates welfare benefits especially among the elderly and low-income individuals, though the coverage rate for these groups is low.

Spillover Effects From A Consumer-Based Intervention To Increase High-Value Preventive Care

Increasing the use of high-value medical services and reducing the use of services with little or no clinical value are key goals for efficient health systems. Yet encouraging the use of high-value services may unintentionally affect the use of low-value services. We examined the likelihood of high- and low-value service use in the first two years after an insurance benefit change in 2011 for one state's employees that promoted use of high-value preventive services. In the intervention group, compared to a control sample with stable benefit plans, in year 1 the likelihood of high-value service use increased 11.0 percentage points, and the likelihood of low-value service use increased 7.9 percentage points. For that year we associated 74 percent of the increase in high-value services and 57 percent of the increase in low-value services with greater use of preventive visits. Our results imply that interventions aimed at increasing receipt of high-value preventive services can cause spillovers to low-value services and should include deterrents to low-value care as implemented in later years of this program.

[Design of a set of indicators for 'Do Not Do' recommendations]

BACKGROUND

There is a growing interest in the optimisation of health care that has fostered and developed initiatives advocating more efficient and safe health care.

OBJECTIVE

To determine indicators set for assessing the 'Do Not Do' Recommendations (DNDR) in a Spanish health area, in order to set interventions in motion for improving the quality of care and the patient safety.

METHOD

The DNDR published by the health care organisation in 2016 were identified, and those that could be analysed were designed and tested using two assessment methods (if possible, directly from the whole data or, if not, by applying the lot quality assurance sampling - LQAS) and 2016 data from a Spanish health area. Both validity and reliability of these indicators were checked.

RESULTS

Of the 271 DNDR identified, 25 (9.3%) were prioritised and their corresponding quality indicator designed. From them, 80% were obtained directly, whereas the rest required LQAS. The interobserver agreement was very high. Efficiency was the quality dimension most frequently involved.

CONCLUSIONS

In order to improve the quality of care in terms of adequacy, safety, and sustainability, to assess the DNDR is possible, compulsory, and urgent. Thus, a set of valid, reliable and useful indicators has been designed. This set is focused on identifying improve opportunities and making it possible to approach them.

Comparison of Office-Based Physician Participation in Medicaid Managed Care and Health Insurance Exchange Plans in the Same US Geographic Markets

IMPORTANCE

Several recent policy proposals have sought to expand the role of Medicaid in providing health insurance for low-income Americans, but there is little recent information on how physician participation in Medicaid compares with alternative forms of coverage for low-income Americans.

OBJECTIVE

To compare the number of office-based physicians included in Medicaid managed care and health insurance exchange plans that operate in the same geographic markets.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used administrative data from physician network directories and survey data from office-based physicians for Kansas, Nebraska, New York, Tennessee, and Washington. The number of participants totaled 67 057 office-based physicians in the 5 sample states. Data were collected and analyzed from May 2018 to June 2019.

EXPOSURES

Physician participation in a Medicaid managed care or health insurance exchange plan network.

MAIN OUTCOMES AND MEASURES

The percentage of office-based physicians in a county who indicated during a phone survey that they participated in Medicaid; the percentage of office-based physicians in a county who participated in each Medicaid managed care and health insurance exchange plan network; and the percentage of office-based physicians in a county who participated in at least 1 Medicaid managed care plan or, separately, at least 1 health insurance exchange plan.

RESULTS

Of the 67 057 office-based physicians in our sample, 49 983 reported in a telephone survey that they accepted Medicaid. This survey-based measure undercounted the percentage of physicians participating in Medicaid by 5.2% (95% CI, 2.3%-8.1%; P < .001) relative to a measure based on physician network directories. Medicaid managed care physician networks covered a median (interquartile range) of 63.4% (48.0%-81.3%) of office-based physicians compared with health insurance exchange physician networks, which covered 51.0% (31.0%-70.5%). In adjusted analyses, Medicaid managed care plans covered 6.2% (95% CI, 3.2%-9.3%, P < .001) more office-based physicians than health insurance exchange plans operating in the same counties. In the states where the same insurers participated in both markets (New York, Tennessee, Washington), the Medicaid managed care physician networks were 6.5% (95% CI, 3.2%-9.8%, P < .001) larger than the health insurance exchange networks offered by the same insurer.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study of physician network data, Medicaid managed care physician networks included more office-based physicians than the physician networks of health insurance exchange plans operating in the same geographic markets. This suggests that Medicaid remains a viable option for expanding coverage in the United States.

Differences in the Receipt of Low-Value Services Between Publicly and Privately Insured Children

BACKGROUND

Children frequently receive low-value services that do not improve health, but it is unknown whether the receipt of these services differs between publicly and privately insured children.

METHODS

We analyzed 2013-2014 Medicaid Analytic eXtract and IBM MarketScan Commercial Claims and Encounters databases. Using 20 measures of low-value care (6 diagnostic testing measures, 5 imaging measures, and 9 prescription drug measures), we compared the proportion of publicly and privately insured children in 12 states who received low-value services at least once or twice in 2014; the proportion of publicly and privately insured children who received low-value diagnostic tests, imaging tests, and prescription drugs at least once; and the proportion of publicly and privately insured children eligible for each measure who received the service at least once.

RESULTS

Among 6 951 556 publicly insured children and 1 647 946 privately insured children, respectively, 11.0% and 8.9% received low-value services at least once, 3.9% and 2.8% received low-value services at least twice, 3.2% and 3.8% received low-value diagnostic tests at least once, 0.4% and 0.4% received low-value imaging tests at least once, and 8.4% and 5.5% received low-value prescription drug services at least once. Differences in the proportion of eligible children receiving each service were typically small (median difference among 20 measures, public minus private: +0.3 percentage points).

CONCLUSIONS

In 2014, 1 in 9 publicly insured and 1 in 11 privately insured children received low-value services. Differences between populations were modest overall, suggesting that wasteful care is not highly associated with payer type. Efforts to reduce this care should target all populations regardless of payer mix.

Envisioning a Better U.S. Health Care System for All: Coverage and Cost of Care

This paper is part of the American College of Physicians' policy framework to achieve a vision for a better health care system, where everyone has coverage for and access to the care they need, at a cost they and the country can afford. Currently, the United States is the only wealthy industrialized country that has not achieved universal health coverage. The nation's existing health care system is inefficient, unaffordable, unsustainable, and inaccessible to many. Part 1 of this paper discusses why the United States needs to do better in addressing coverage and cost. Part 2 presents 2 potential approaches, a single-payer model and a public choice model, to achieve universal coverage. Part 3 describes how an emphasis on value-based care can reduce costs.

Defining and measuring imaging appropriateness in low back pain studies: a scoping review

PURPOSE

Patients with low back pain (LBP) rarely have serious underlying pathology but frequently undergo inappropriate imaging. A range of guidelines and red flag features are utilised to characterise appropriate imaging. This scoping review explores how LBP imaging appropriateness is determined and calculated in studies of primary care practice.

METHODS

This scoping review builds upon a previous meta-analysis, incorporating articles identified that were published since 2014, with an updated search to capture articles published since the original search. Electronic databases were searched, and citation lists of included papers were reviewed. Inclusion criteria were studies assessing adult LBP imaging appropriateness in a primary care setting. Twenty-three eligible studies were identified.

RESULTS

A range of red flag features were utilised to determine imaging appropriateness. Most studies considered appropriateness in a binary manner, by the presence of any red flag feature. Ten guidelines were referenced, with 7/23 (30%) included studies amending or not referencing any guideline. The method for calculating the proportion of inappropriate imaging varied. Ten per cent of the studies used the total number of patients presenting with LBP as the denominator, suggesting most studies overestimated the rate of inappropriate imaging, and did not capture where imaging is not performed for clinically suspicious LBP.

CONCLUSION

Greater clarity is needed on how we define and measure imaging appropriateness for LBP, which also accounts for the problem of failing to image when indicated. An internationally agreed methodology for imaging appropriateness studies would ultimately lead to an improvement in the care delivered to patients. These slides can be retrieved under Electronic Supplementary Material.

What do we really know about the appropriateness of radiation emitting imaging for low back pain in primary and emergency care? A systematic review and meta-analysis of medical record reviews

BACKGROUND

Since 2000, guidelines have been consistent in recommending when diagnostic imaging for low back pain should be obtained to ensure patient safety and reduce unnecessary tests. This systematic review and meta-analysis was conducted to determine the pooled proportion of CT and x-ray imaging of the lumbar spine that were considered appropriate in primary and emergency care.

METHODS

Pubmed, CINAHL, The Cochrane Database of Systematic Reviews and Embase were searched for synonyms of "low back pain", "guidelines", and "adherence" that were published after 2000. Titles, abstracts, and full texts were reviewed for inclusion with forward and backward tracking on included studies. Included studies had data extracted and synthesized. Risk of bias was performed on all studies, and GRADE was performed on included studies that provided data on CT and x-ray separately. A random effect, single proportion meta-analysis model was used.

RESULTS

Six studies were included in the descriptive synthesis, and 5 studies included in the meta-analysis. Five of the 6 studies assessed appropriateness of x-rays; two of the six studies assessed appropriateness of CTs. The pooled estimate for appropriateness of x-rays was 43% (95% CI: 30%, 56%) and the pooled estimate for appropriateness of CTs was 54% (95% CI: 51%, 58%). Studies did not report adequate information to fulfill the RECORD checklist (reporting guidelines for research using observational data). Risk of bias was high in 4 studies, moderate in one, and low in one. GRADE for x-ray appropriateness was low-quality and for CT appropriateness was very-low-quality.

CONCLUSION

While this study determined a pooled proportion of appropriateness for both x-ray and CT imaging for low back pain, there is limited confidence in these numbers due to the downgrading of the evidence using GRADE. Further research on this topic is needed to inform our understanding of x-ray and CT appropriateness in order to improve healthcare systems and decrease patient harms.

To do or not to do-balancing governance and professional autonomy to abandon low-value practices: a study protocol

BACKGROUND

Many interventions used in health care lack evidence of effectiveness and may be unnecessary or even cause harm, and should therefore be de-implemented. Lists of such ineffective, low-value practices are common, but these lists have little chance of leading to improvements without sufficient knowledge regarding how de-implementation can be governed and carried out. However, decisions regarding de-implementation are not only a matter of scientific evidence; the puzzle is far more complex with political, economic, and relational interests play a role. This project aims at exploring the governance of de-implementation of low-value practices from the perspectives of national and regional governments and senior management at provider organizations.

METHODS

Theories of complexity science and organizational alignment are used, and interviews are conducted with stakeholders involved in the governance of low-value practice de-implementation, including national and regional governments (focusing on two contrasting regions in Sweden) and senior management at provider organizations. In addition, an ongoing process for governing de-implementation in accordance with current recommendations is followed over an 18-month period to explore how governance is conducted in practice. A framework for the governance of de-implementation and policy suggestions will be developed to guide de-implementation governance.

DISCUSSION

This study contributes to knowledge about the governance of de-implementation of low-value care practices. The study provides rich empirical data from multiple system levels regarding how de-implementation of low-value practices is currently governed. The study also makes a theoretical contribution by applying the theories of complexity and organizational alignment, which may provide generalizable knowledge about the interplay between stakeholders across system levels and how and why certain factors influence the governance of de-implementation. The project employs a solution-oriented perspective by developing a framework for de-implementation of low-value practices and suggesting practical strategies to improve the governance of de-implementation. The framework and strategies can thereafter be evaluated for validity and impact in future studies.

Systemic overuse of health care in a commercially insured US population, 2010-2015

BACKGROUND

Overuse is a leading contributor to the high cost of health care in the United States. Overuse harms patients and is a definitive waste of resources. The Johns Hopkins Overuse Index (JHOI) is a normalized measure of systemic health care services overuse, generated from claims data, that has been used to describe overuse in Medicare beneficiaries and to understand drivers of overuse. We aimed to adapt the JHOI for application to a commercially insured US population, to examine geographic variation in systemic overuse in this population, and to analyze trends over time to inform whether systemic overuse is an enduring problem.

METHODS

We analyzed commercial insurance claims from 18 to 64 year old beneficiaries. We calculated a semiannual JHOI for each of the 375 Metropolitan Statistical Areas and 47 rural regions of the US. We generated maps to examine geographic variation and then analyzed each region's change in their JHOI quintile from January 2011 to June 2015.

RESULTS

The JHOI varied markedly across the US. Across the country, rural regions tended to have less systemic overuse than their MSA counterparts (p < 0.01). Regional systemic overuse is positively correlated from one time period to the next (p < 0.001). Between 2011 and 2015, 53.7% (N = 226) of regions remained in the same quintile of the JHOI. Eighty of these regions had a persistently high or persistently low JHOI throughout study duration.

CONCLUSIONS

The systemic overuse of health care resources is an enduring, regional problem. Areas identified as having a persistently high rate of systemic overuse merit further investigation to understand drivers and potential points of intervention.

Comparison of Baseline Characteristics and In-hospital Outcomes in Medicaid Versus Private Insurance Hospitalizations for Atrial Fibrillation

The prevalence of atrial fibrillation (Afib) has been increasing over the past few decades. There are very few comparisons of health insurance plans available that incorporate measurement of co-morbidities and in-hospital outcomes. We sought to compare an impact of Medicaid versus private insurance (PI) on outcomes in hospitalizations with Afib. The US National Inpatient Sample database from years January 2010 to September 2015 was used to identify adult (≥18 years) Afib hospitalizations, whose payment source was either Medicaid or PI. We included propensity score-matched analysis for comparison of outcomes between the groups. In a total of 3,264,258 Afib hospitalizations, 22.9% hospitalizations were insured with Medicaid, while 77.1% had PI. Compared with PI, Medicaid beneficiaries (MB) were younger (59 vs 64 years), fewer were men (55.15% vs 63.16%), and fewer were Caucasians (52.66% vs 81.67%; all p<0.0001). As suggested by Charlson co-morbidity index ≥3, more MB (40.86%) had the significantly higher burden of co-morbidities compared with PI (29.87%; p<0.0001). About 83% of Afib hospitalizations had a CHA2DVASC2 score ≥2 in both the groups. After adjusting for confounders, in-hospital mortality was significantly higher (4.8% vs 4.3%, p = 0.02) in MB compared with PI. In MB, 55.3% hospitalizations were discharged to home and their median length of hospital stay was 5 days, whereas 61.3% hospitalizations with PI were discharged to home and their median length of stay was 4 days (p<0.0001). In conclusion, this extensive study of Afib hospitalizations, Medicaid group had greater co-morbidities, marginally higher in-hospital mortality, longer length of stay, and lesser disposition to home as compared with PI group.

How common is imaging for low back pain in primary and emergency care? Systematic review and meta-analysis of over 4 million imaging requests across 21 years

Objectives

To (1) estimate the proportion of patients seeking care for low back pain (LBP) who are imaged and (2) explore trends in the proportion of patients who received diagnostic imaging over time. We also examined the effect of study-level factors on estimates of imaging proportion.

Data sources

Electronic searches of MEDLINE, Embase and CINAHL databases from January 1995 to December 2017.

Eligibility criteria for selecting studies

Observational designs and controlled trials that reported imaging for patients presenting to primary care or emergency care for LBP. We assessed study quality and calculated pooled proportions by care setting and imaging type, with strength of evidence assessed using the GRADE system.

Results

45 studies were included. They represented 19 451 749 consultations for LBP that had resulted in 4 343 919 imaging requests/events over 21 years. Primary care: moderate quality evidence that simple imaging proportion was 16.3% (95% CI 12.6% to 21.1%) and complex imaging was 9.2% (95% CI 6.2% to 13.5%). For any imaging, the pooled proportion was 24.8% (95% CI 19.3%to 31.1%). Emergency care: moderate quality evidence that simple imaging proportion was 26.1% (95% CI 18.2% to 35.8%) and high-quality evidence that complex imaging proportion was 8.2% (95% CI 4.4% to 15.6%). For any imaging, the pooled proportion was 35.6% (95% CI 29.8% to 41.8%). Complex imaging increased from 7.4% (95% CI 5.7% to 9.6%) for imaging requested in 1995 to 11.4% (95% CI 9.6% to 13.5%) in 2015 (relative increase of 53.5%). Between-study variability in imaging proportions was only partially explained by study-level characteristics; there were insufficient data to comment on some prespecified study-level factors.

Summary/conclusion

One in four patients who presented to primary care with LBP received imaging as did one in three who presented to the emergency department. The rate of complex imaging appears to have increased over 21 years despite guideline advice and education campaigns.

Trial registration number

CRD42016041987.

Imaging for low back pain: is clinical use consistent with guidelines? A systematic review and meta-analysis

BACKGROUND CONTEXT

The problem of imaging patients with low back pain (LBP) when it is not indicated is well recognized. The converse is also possible, although rarely considered. The extent of these two problems is presently unclear.

PURPOSE

This study aimed to estimate how commonly overuse, and also underuse, of imaging occurs in the management of LBP, and how appropriate use of imaging is assessed.

DESIGN

This is a systematic review and meta-analysis.

PATIENT SAMPLE

The sample comprised patients with LBP presenting to primary care.

OUTCOME MEASURES

Proportions of inappropriate referral, and inappropriate non-referral, for diagnostic imaging for LBP were the outcome measures.

METHODS

MEDLINE, EMBASE, and CINAHL were searched from January 1, 1995 to December 17, 2017. Two authors independently assessed study quality and extracted data. Meta-analyses were performed where appropriate, and strength of evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluation system.

RESULTS

Thirty-three studies were included. In patients referred for lumbar imaging, 34.8% (95% confidence interval [CI]: 27.1, 43.3) were judged inappropriate by the absence of red flags for serious pathology and 31.6% (95% CI: 28.3, 35.1) were judged inappropriate by the criteria of no clinical suspicion of pathology. In patients presenting for care, imaging was inappropriately performed in 27.7% of cases (95% CI: 21.3, 35.1) when judged by duration of episode, 9.0% of cases (95% CI: 7.4, 11.0) when judged by absence of red flags, and 7.0% (95% CI: 1.8, 23.3) when judged by no clinical suspicion of pathology. In patients presenting for care, imaging was not performed where appropriately indicated in 65.6% (95% CI: 51.8, 77.2) of patients who presented with red flags, and 60.8% (95% CI: 42.0, 76.8) with clinical suspicion of serious pathology.

CONCLUSIONS

Inappropriate imaging is common in LBP management, including both overuse in those where imaging is not indicated and underuse of imaging when it is indicated. Appreciating that both underuse and overuse can occur is fundamental to efforts to improve imaging practice to align with current guidelines and best evidence.

Empirical and conceptual investigation of de-implementation of low-value care from professional and health care system perspectives: a study protocol

Background

A considerable proportion of interventions provided to patients lacks evidence of their effectiveness. This implies that patients may receive ineffective, unnecessary, or even harmful care. Thus, in addition to implementing evidence-based practices, there is also a need to abandon interventions that are not based on best evidence, i.e., low-value care. However, research on de-implementation is limited, and there is a lack of knowledge about how effective de-implementation processes should be carried out. The aim of this project is to explore the phenomenon of the de-implementation of low-value health care practices from the perspective of professionals and the health care system.

Methods

Theories of habits and developmental learning in combination with theories of organizational alignment will be used. The project’s work will be conducted in five steps. Step 1 is a scoping review of the literature, and Step 2 has an explorative design involving interviews with health care stakeholders. Step 3 has a prospective design in which workplaces and professionals are shadowed during an ongoing de-implementation. In Step 4, a conceptual framework for de-implementation will be developed based on the previous steps. In Step 5, strategies for de-implementation are identified using a co-design approach.

Discussion

This project contributes new knowledge to implementation science consisting of empirical data, a conceptual framework, and strategy suggestions on de-implementation of low-value care. The professionals’ perspectives will be highlighted, including insights into how they make decisions, handle de-implementation in daily practice, and what consequences it has on their work. Furthermore, the health care system perspective will be considered and new knowledge on how de-implementation can be understood across health care system levels will be obtained. The theories of habits and developmental learning can also offer insights into how context triggers and reinforces certain behaviors and how factors at the individual and the organizational levels interact. The project employs a solution-oriented perspective by developing a framework for de-implementation of low-value practices and suggesting practical strategies to improve de-implementation processes at all levels of the health care system. The framework and the strategies can thereafter be evaluated for their validity and impact in future studies.

Oregon's Medicaid Reform And Transition To Global Budgets Were Associated With Reductions In Expenditures

In 2012 Oregon initiated an ambitious delivery system reform, moving the majority of its Medicaid enrollees into sixteen coordinated care organizations, a type of Medicaid accountable care organization. Using claims data, we assessed measures of access, appropriateness of care, utilization, and expenditures for five service areas (evaluation and management, imaging, procedures, tests, and inpatient facility care), comparing Oregon to the neighboring state of Washington. Overall, the transformation into coordinated care organizations was associated with a 7 percent relative reduction in expenditures across the sum of these services, attributable primarily to reductions in inpatient utilization. The change to coordinated care organizations also demonstrated reductions in avoidable emergency department visits and improvements in some measures of appropriateness of care, but also exhibited reductions in primary care visits, a potential area of concern. Oregon's coordinated care organizations could provide lessons for controlling health care spending for other state Medicaid programs.