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

Success factors for interventions to reduce low-value imaging. Six crucial lessons learned from a practical case study in Norway

BACKGROUND

Substantial overuse of health care services is identified and intensified efforts are incited to reduce low-value services in general and in imaging in particular.

OBJECTIVE

To report crucial success factors for developing and implementing interventions to reduce specific low-value imaging examinations based on a case study in Norway.

MATERIALS AND METHODS

Mixed methods design including one systematic review, one scoping review, implementation science, qualitative interviews, content analysis of stakeholders' input, and stakeholder deliberations.

RESULTS

The description and analysis of an intervention to reduce low-value imaging in Norway identifies six general success factors: 1) Acknowledging complexity: advanced knowledge synthesis, competence of the context, and broad and strong stakeholder involvement is crucial to manage de-implementation complexity. 2) Clear consensus-based criteria for selecting low-value imaging procedures are key. 3) Having a clear target group is critical. 4) Stakeholder engagement is essential to ascertain intervention relevance and compliance. 5) Active and well-motivated intervention collaborators is imperative. 6) Paying close attention to the mechanisms of low-value imaging and the barriers to reduce it is decisive.

CONCLUSION

Reducing low-value imaging is crucial to increase the quality, safety, efficiency, and sustainability of the health services. Reducing low-value imaging is a complex task and paying attention to specific practical success factors is key.

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.

Trends in Low-Value Care Among Children's Hospitals

BACKGROUND AND OBJECTIVES

Longitudinal pediatric low-value care (LVC) trends are not well established. We used the Pediatric Health Information System LVC Calculator, which measures utilization of 30 nonevidenced-based services, to report 7-year LVC trends.

METHODS

This retrospective cohort study applied the LVC Calculator to emergency department (ED) and hospital encounters from January 1, 2016, to December 31, 2022. We used generalized estimating equation models accounting for hospital clustering to assess temporal changes in LVC.

RESULTS

There were 5 265 153 eligible ED encounters and 1 301 613 eligible hospitalizations. In 2022, of 21 LVC measures applicable to the ED cohort, the percentage of encounters with LVC had increased for 11 measures, decreased for 1, and remained unchanged for 9 as compared with 2016. Computed tomography for minor head injury had the largest increase (17%-23%; P < .001); bronchodilators for bronchiolitis decreased (22%-17%; P = .001). Of 26 hospitalization measures, LVC increased for 6 measures, decreased for 9, and was unchanged for 11. Inflammatory marker testing for pneumonia had the largest increase (23%-38%; P = .003); broad-spectrum antibiotic use for pneumonia had the largest decrease (60%-48%; P < .001). LVC remained unchanged or decreased for most medication and procedure measures, but remained unchanged or increased for most laboratory and imaging measures.

CONCLUSIONS

LVC improved for a minority of services between 2016 and 2022. Trends were more favorable for therapeutic (medications and procedures) than diagnostic measures (imaging and laboratory studies). These data may inform prioritization of deimplementation efforts.

'Low-value' clinical care in general practice: a cross-sectional analysis of low-value care in early-career GPs' practice

Nonevidence-based and 'low-value' clinical care and medical services are 'questionable' clinical activities that are more likely to cause harm than good or whose benefit is disproportionately low compared with their cost. This study sought to establish general practitioner (GP), patient, practice, and in-consultation associations of an index of key nonevidence-based or low-value 'questionable' clinical practices. The study was nested in the Registrar Clinical Encounters in Training study-an ongoing (from 2010) cohort study in which Australian GP registrars (specialist GP trainees) record details of their in-consultation clinical and educational practice 6-monthly. The outcome factor in analyses, performed on Registrar Clinical Encounters in Training data from 2010 to 2020, was the score on the QUestionable In-Training Clinical Activities Index (QUIT-CAI), which incorporates recommendations of the Australian Choosing Wisely campaign. A cross-sectional analysis used negative binomial regression (with the model including an offset for the number of times the registrar was at risk of performing a questionable activity) to establish associations of QUIT-CAI scores. A total of 3206 individual registrars (response rate 89.9%) recorded 406 812 problems/diagnoses where they were at risk of performing a questionable activity. Of these problems/diagnoses, 15 560 (3.8%) involved questionable activities being performed. In multivariable analyses, higher QUIT-CAI scores (more questionable activities) were significantly associated with earlier registrar training terms: incidence rate ratios (IRRs) of 0.91 [95% confidence interval (CI) 0.87, 0.95] and 0.85 (95% CI 0.80, 0.90) for Term 2 and Term 3, respectively, compared to Term 1. Other significant associations of higher scores included the patient being new to the registrar (IRR 1.27; 95% CI 1.12, 1.45), the patient being of non-English-speaking background (IRR 1.24; 95% CI 1.04, 1.47), the practice being in a higher socioeconomic area decile (IRR 1.01; 95% CI 1.00, 1.02), small practice size (IRR 1.05; 95% CI 1.00, 1.10), shorter consultation duration (IRR 0.99 per minute; 95% CI 0.99, 1.00), and fewer problems addressed in the consultation (IRR 0.84; 95% CI 0.79, 0.89) for each additional problem]. Senior registrars' clinical practice entailed less 'questionable' clinical actions than junior registrars' practice. The association of lower QUIT-CAI scores with a measure of greater continuity of care (the patient not being new to the registrar) suggests that continuity should be supported and facilitated during GP training (and in established GPs' practice).

Reducing Overuse by Healthcare Systems: A Positive Deviance Analysis

BACKGROUND

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

OBJECTIVE

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

PARTICIPANTS

Leaders at select healthcare systems in the USA.

INTERVENTIONS

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

KEY RESULTS

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

CONCLUSIONS

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

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

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

Mental health outcomes in parents of children with a cancer diagnosis in Sweden: A nationwide cohort study

BACKGROUND

The diagnosis of paediatric cancer is a crisis for the parents who are the primary caregivers of the affected child. A comprehensive assessment of the longitudinal impact of childhood cancer on parental mental health and the potential sex differences between the parents is lacking. Thus, we aimed to explore the subsequent short- and long-term mental health outcomes among the parents of children with cancer and examine whether the outcomes vary between the mother and father.

METHODS

By combining several Swedish registers, parents of a child (ages 0-14 years) with a cancer diagnosis between Jan 1, 2006, and Dec 31, 2016 were identified. For each parent of children with cancer, up to five mothers or fathers of cancer-free children were randomly selected and matched, respectively. Hospital contacts for any mental health disorders between 5 years before and 7 years after the diagnosis of childhood cancer were retrieved. An interrupted time series negative binomial regression was performed to assess the short- and long-term impact of a childhood cancer diagnosis on the parents' subsequent mental health outcomes.

FINDINGS

16,199 mothers (2852 with a child with cancer and 13,347 without) and 15,708 fathers (2769 with a child with cancer and 12,939 without) were included in this study. Compared with mothers of children without cancer, mothers of children with cancer had higher risks of mental health disorders in the first year after diagnosis (rate ratio [RR] and 95% Confidence Interval [CI], 1.17 (1.03-1.32)), and notably, the adverse impact became more severe over time (RR and 95% CI, 1.36 (1.07-1.74), in the seventh year). For fathers of children with cancer, the risk of mental health disorders was continuously higher compared to matched comparisons (RR and 95% CI, 1.31 (1.01-1.71)).

INTERPRETATION

Our findings suggested that parental mental health was affected continuously by a diagnosis of childhood cancer in their children. In particular, the mother's mental health was affected more severely. Customised psychological services or interventions are highly needed for the parents of children with cancer.

FUNDING

Swedish Research Council, Allmänna Sjukhusets i Malmö Stiftelsen för bekämpande av cancer, Swedish Heart-Lung Foundation, ALF funding from Region Skåne and China Scholarship Council.

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

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

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

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

Factors Associated With Overuse of Health Care Within US Health Systems

Question

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

Findings

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

Meaning

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

Importance

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

Objective

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

Design, Setting, and Participants

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

Exposures

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

Main Outcomes and Measures

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

Results

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

Conclusions and Relevance

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

Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach

OBJECTIVE

To evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma.

METHODS

We used a retrospective cohort study design with 12-month baseline and follow-up periods. We identified a cohort of older adults (age ≥ 66 years) diagnosed with breast, prostate, colorectal cancers, or Non-Hodgkin's lymphoma between January 2014 and December 2014. We assessed low-value care and patient out-of-pocket expenditure in the follow-up period. We identified relevant low-value services using ICD9/ICD10 and CPT/HCPCS codes from the linked health claims and patient out-of-pocket expenditure from Medicare claim files and expressed expenditure in 2016 USD.

RESULTS

About 29 % of older adults received at least one low-value care procedure during the follow-up period. Low-value care differed by gender, and rates were higher in women with colorectal cancer (32.7 %) vs. (28.8 %) and NHL (40 %) vs. (39 %) compared to men. Individuals who received one or more low-value care procedures had significantly higher mean out-of-pocket expenditure ($8,726 ± $7,214) vs. ($6,802 ± $6,102). XGBOOST, a machine learning algorithm revealed that low-value care was among the five leading predictors of OOP expenditure.

CONCLUSION

One in four older adults with incident cancer received low-value care in 12-months after a cancer diagnosis. Across all cancer populations, individuals who received low-value care had significantly higher out-of-pocket expenditure. Excess out-of-pocket expenditure was driven by low-value care, fragmentation of care, and an increasing number of pre-existing chronic conditions.

POLICY STATEMENT

This study focuses on health policy issues, specifically value-based care and its findings have important clinical and policy implications for Centers for Medicare and Medicaid Services (CMS) which has issued a roadmap for states to accelerate the adoption of value-based care, with the Department of Health and Human Services (HHS) setting a goal of converting 50 % of traditional Medicare payment systems to alternative payment models tied to value-based care by 2022.

Management of Chronic Rhinosinusitis Prior to Otolaryngology Referral: An Opportunity for Quality Improvement

OBJECTIVE

The management of chronic rhinosinusitis (CRS) by a nonotolaryngologist prior to otolaryngology referral is an important component of the patient care pathway. The purpose of this study is to characterize CRS management during this period and to identify areas of quality improvement.

STUDY DESIGN

Retrospective review of a national claims database.

SETTING

Academic institution.

METHODS

Data were analyzed from the IBM Health MarketScan Research Databases (2013-2017). Patients with 3-year enrollment data were identified who were initially diagnosed with CRS by a nonotolaryngologist and subsequently seen by an otolaryngologist. Management of CRS by the nonotolaryngologist was assessed in terms of duration, demographics, health care resource utilization, and health care expenditure.

RESULTS

A total of 51,273 patients met inclusion criteria. The median length of the referral period was 142 days, with variations according to geography. Patients with a delayed referral period had higher health care resource utilization in terms of visits for CRS (mean, 1.8 vs 1.2), total visits (mean, 12.6 vs 3.9), and medication prescriptions (especially antibiotics; mean, 5.8 vs 2.1). Health care expenditure was almost twice as high for the delayed referral group (mean, $986 vs $571), mainly due to CRS-related medication costs (mean, $578 vs $214).

CONCLUSION

Our findings suggest that there are wide variations in how CRS is managed prior to referral to an otolaryngologist. The dissemination of clinical practice guidelines to primary care providers may help to increase efficiency of CRS care and offers a unique opportunity for quality improvement that extends beyond the bounds of our own specialty.

Geographic Variations in Healthcare Utilization and Expenditure for Chronic Rhinosinusitis: A Population-Based Approach

OBJECTIVES/HYPOTHESIS

Chronic rhinosinusitis (CRS) is a common and costly health problem in the United States. A better understanding of healthcare resource utilization (HCRU) and healthcare expenditure (HCE) pertaining to CRS is required. The objective of this study is to investigate geographic variations in HCRU and HCE for CRS.

STUDY TYPE/DESIGN

Retrospective study of administrative database.

METHODS

Patients meeting pre-defined diagnostic criteria for CRS with continuous 1-year pre-index and 2-year post-index data were identified on IBM® Marketscan Research Databases over a 5-year period (2013-2017). Data pertaining to demographics, HCRU, and HCE were analyzed according to geographic region. Multivariable generalized linear models accounted for age, sex, baseline medication utilization, and co-morbidities.

RESULTS

About 237,969 patients were included. Antibiotics were the most commonly prescribed medication (95%). Surgery rate (11%), immunotherapy (9.2%), oral steroid use (66%), and antibiotic utilization (mean 6.3 prescriptions) were highest in the South. However, visits with an otolaryngologist were considerably higher in the Northeast (62%). The Northeast region had the highest mean HCE ($2,449), which was 13% greater than HCE for the North Central region ($2,172). HCRU and HCE were higher in urban areas across all metrics, with 2-year HCE being 18% greater in urban areas ($2,374 vs. $2,019). Significant geographic variation in HCE was observed even after adjusting for covariates.

CONCLUSION

Significant geographic variations in HCRU and HCE exist for CRS even after adjusting for covariates. Future studies are needed to help direct quality improvement and cost-saving efforts as well as efficient resource allocation in an era of value-based care.

LEVEL OF EVIDENCE

4 Laryngoscope, 2021.

Streamlining the Cochlear Implant Evaluation: Utility of Community Audiometry in Cochlear Implant Candidacy Assessment

OBJECTIVE

To identify redundancy in the cochlear implant candidacy evaluation and assess its financial impact.

STUDY DESIGN

Retrospective chart review.

SETTING

Tertiary care academic cochlear implant center.

PATIENTS

One hundred thirty-five patients referred for cochlear implant candidacy evaluation from 2004 through 2019.

INTERVENTION

Community and academic audiometry were compared in a matched-pair analysis.

MAIN OUTCOME MEASURES

Pure-tone audiometry and word recognition scores (WRS) were compared using the Wilcoxon signed-rank test. Cost of repeated audiometry was estimated using the Medicare Provider Utilization and Payment data.

RESULTS

The majority of pure-tone thresholds (PTT) and pure-tone averages (PTA) had no statistically significant differences between community and academic centers. Only air PTT at 2000 Hz on the right and air PTA on the right demonstrated differences with α = 0.05 after Bonferroni correction. Despite statistical differences, mean differences in PTT and PTA were all under 3.5 dB. WRS were on average lower at the academic center, by 14.7% on the right (p < 0.001) and 10.6% on the left (p = 0.003). Repeating initial audiometry costs patients up to $60.58 and costs the healthcare system up to $42.94 per patient.

CONCLUSIONS

Pure-tone audiometry between community and academic centers did not demonstrate clinically significant differences. Lower academic WRS implies that patients identified as potential cochlear implant candidates based on community WRS are likely suitable to proceed to sentence testing without repeating audiometry, saving patients and the healthcare system time and resources.

External Validation of and Factors Associated with the Overuse Index: a Nationwide Population-Based Study from Taiwan

BACKGROUND

The Overuse Index (OI), previously called the Johns Hopkins Overuse Index, is developed and validated as a composite measure of systematic overuse/low-value care using United States claims data. However, no information is available concerning whether the external validation of the OI is sustained, especially for international application. Moreover, little is known about which supply and demand factors are associated with the OI.

OBJECTIVE

We used nationwide population-based data from Taiwan to externally validate the OI and to examine the association of regional healthcare resources and socioeconomic factors with the OI.

DESIGN AND PARTICIPANTS

We analyzed 1,994,636 beneficiaries randomly selected from all people enrolled in the Taiwan National Health Insurance in 2013.

MAIN MEASURES

The OI was calculated for 2013 to 2015 for each of 50 medical regions. Spearman correlation analysis was applied to examine the association of the OI with total medical costs per capita and mortality rate. Generalized estimating equation linear regression analysis was conducted to examine the association of regional healthcare resources (number of hospital beds per 1000 population, number of physicians per 1000 population, and proportion of primary care physicians [PCPs]) and socioeconomic factors (proportion of low-income people and proportion of population aged 20 and older without a high school diploma) with the OI.

RESULTS

Higher scores of the OI were associated with higher total medical costs per capita (ρ = 0.48, P < 0.001) and not associated with total mortality (ρ = - 0.01, P = 0.882). Higher proportions of PCPs and higher proportions of low-income people were associated with lower scores of the OI (β = - 0.022, P = 0.016 and β = - 0.224, P < 0.001, respectively).

CONCLUSIONS

Our study supported the external validation of the OI by demonstrating a similar association within a universal healthcare system, and it showed the association of a higher proportion of PCPs and a higher proportion of low-income people with less overuse/low-value care.

Development of a Simple Index to Measure Overuse of Diagnostic Testing at the Hospital Level Using Administrative Data

OBJECTIVE

We developed a diagnostic overuse index that identifies hospitals with high levels of diagnostic intensity by comparing negative diagnostic testing rates for common diagnoses.

METHODS

We prospectively identified candidate overuse metrics, each defined by the percentage of patients with a particular diagnosis who underwent a potentially unnecessary diagnostic test. We used data from seven states participating in the State Inpatient Databases. Candidate metrics were tested for temporal stability and internal consistency. Using mixed-effects ordinal regression and adjusting for regional and hospital characteristics, we compared results of our index with three Dartmouth health service area-level utilization metrics and three Medicare county-level cost metrics.

RESULTS

The index was comprised of five metrics with good temporal stability and internal consistency. It correlated with five of the six prespecified overuse measures. Among the Dartmouth metrics, our index correlated most closely with physician reimbursement, with an odds ratio of 2.02 (95% CI, 1.11-3.66) of being in a higher tertile of the overuse index when comparing tertiles 3 and 1 of this Dartmouth metric. Among the Medicare county-level metrics, our index correlated most closely with standardized costs of procedures per capita, with an odds ratio of 2.03 (95% CI, 1.21-3.39) of being in a higher overuse index tertile when comparing tertiles 3 and 1 of this metric.

CONCLUSIONS

We developed a novel overuse index that is preliminary in nature. This index is derived from readily available administrative data and shows some promise for measuring overuse of diagnostic testing at the hospital level.

Trends in Low-Value Health Service Use and Spending in the US Medicare Fee-for-Service Program, 2014-2018

Importance

Low-value care, defined as care offering no net benefit in specific clinical scenarios, is associated with harmful outcomes in patients and wasteful spending. Despite a national education campaign and increasing attention on reducing health care waste, recent trends in low-value care delivery remain unknown.

Objective

To assess national trends in low-value care use and spending.

Design, Setting, and Participants

In this cross-sectional study, analyses of low-value care use and spending from 2014 to 2018 were conducted using 100% Medicare fee-for-service enrollment and claims data. Included individuals were aged 65 years or older and continuously enrolled in Medicare parts A, B, and D during each measurement year and the previous year. Data were analyzed from September 2019 through December 2020.

Exposure

Being enrolled in fee-for-service Medicare for a period of time, in years.

Main Outcomes and Measures

The Milliman MedInsight Health Waste Calculator was used to assess 32 claims-based measures of low-value care associated with Choosing Wisely recommendations and other professional guidelines. The calculator designates services as wasteful, likely wasteful, or not wasteful based on an absence of indication of appropriate use in the claims history; calculator-designated wasteful services were defined as low-value care. Spending was calculated as claim-line level (ie, spending on the low-value service) and claim level (ie, spending on the low-value service plus associated services), adjusting for inflation.

Results

Among 21 045 759 individuals with fee-for-service Medicare (mean [SD] age, 77.4 [7.9] years; 12 515 915 [59.5%] women), the percentage receiving any of 32 low-value services decreased from 36.3% (95% CI, 36.3%-36.4%) to 33.6% (95% CI, 33.6%-33.6%) from 2014 to 2018. Uses of low-value services per 1000 individuals decreased from 677.8 (95% CI, 676.2-679.5) to 632.7 (95% CI, 632.6-632.8) from 2014 to 2018. Three services comprised approximately two-thirds of uses among 32 low-value services per 1000 individuals: preoperative laboratory testing decreased from 213.8 (95% CI, 213.4-214.2) to 166.2 (95% CI, 166.2-166.2), while opioids for back pain increased from 154.4 (95% CI, 153.6-155.2) to 182.1 (95% CI, 182.1-182.1) and antibiotics for upper respiratory infections increased from 75.0 (95% CI, 75.0-75.1) to 82 (95% CI, 82.0-82.0). Spending per 1000 individuals on low-value care also decreased, from $52 765.5 (95% CI, $51 952.3-$53 578.6) to $46 921.7 (95% CI, $46 593.7-$47 249.7) at the claim-line level and from $160 070.4 (95% CI, $158 999.8-$161 141.0) to $144 741.1 (95% CI, $144 287.5-$145 194.7) at the claim level.

Conclusions and Relevance

This cross-sectional study found that among individuals with fee-for-service Medicare receiving any of 32 measured services, low-value care use and spending decreased marginally from 2014 to 2018, despite a national education campaign in collaboration with clinician specialty societies and increased attention on low-value care. While most use of low-value care came from 3 services, 1 of these was opioid prescriptions, which increased over time despite the harms associated with their use. These findings may represent several opportunities to prevent patient harm and lower spending.

The impact of global budget payment reform on systemic overuse in Maryland

BACKGROUND

Medical overuse is a leading contributor to the high cost of the US health care system and is a definitive misuse of resources. Elimination of overuse could improve health care efficiency. In 2014, the State of Maryland placed the majority of its hospitals under an all-payer, annual, global budget for inpatient and outpatient hospital services. This program aims to control hospital use and spending.

OBJECTIVE

To assess whether the Maryland global budget program was associated with a reduction in the broad overuse of health care services.

METHODS

We conducted a retrospective analysis of deidentified claims for 18-64 year old adults from the IBM MarketScan® Commercial Claims and Encounters Database. We matched 2 Maryland Metropolitan Statistical Areas (MSAs) to 6 out-of-state comparison MSAs. In a difference-in-differences analysis, we compared changes in systemic overuse in Maryland vs the comparison MSAs before (2011-2013) and after implementation (2014-2015) of the global budget program. Systemic overuse was measured using a semiannual Johns Hopkins Overuse Index.

RESULTS

Global budgets were not associated with a reduction in systemic overuse. Over the first 1.5 years of the program, we estimated a nonsignificant differential change of -0.002 points (95%CI, -0.372 to 0.369; p = 0.993) relative to the comparison group. This result was robust to multiple model assumptions and sensitivity analyses.

CONCLUSIONS

We did not find evidence that Maryland hospitals met their revenue targets by reducing systemic overuse. Global budgets alone may be too blunt of an instrument to selectively reduce low-value care.

Understanding Geographic Variation in Systemic Overuse Among the Privately Insured

BACKGROUND

Medical care overuse is a significant source of patient harm and wasteful spending. Understanding the drivers of overuse is essential to the design of effective interventions.

OBJECTIVE

We tested the association between structural factors of the health care delivery system and regional differences systemic overuse.

RESEARCH DESIGN

We conducted a retrospective analysis of deidentified claims for 18- to 64-year-old adults from the IBM MarketScan Commercial Claims and Encounters Database. We calculated a semiannual Johns Hopkins Overuse Index for each of the 375 Metropolitan Statistical Areas in the United States, from January 2011 to June 2015. We fit an ordinary least squares regression to model the Johns Hopkins Overuse Index as a function of regional characteristics of the health care system, adjusted for confounders and time.

RESULTS

The supply of regional health care resources was associated with systemic overuse in commercially insured beneficiaries. Regional characteristics associated with systemic overuse included number of physicians per 1000 residents (P=0.001) and higher Medicare malpractice geographic price cost index (P<0.001). Regions with a higher density of primary care physicians (P=0.008) and a higher proportion of hospital-based providers (P=0.016) had less systemic overuse. Differences in hospital and insurer market power were inversely associated with systemic overuse.

CONCLUSIONS

Systemic overuse is associated with observable, structural characteristics of the regional health care system. These findings suggest that interventions that aim to improve care efficiency via reductions in overuse should focus on the structural drivers of this phenomenon, rather than on the eradication of individual overused procedures.

Current Resources for Evidence-Based Practice, March 2020

An extensive review of new resources to support the provision of evidence-based care for women and infants. The current column includes a discussion of the concept of overdiagnosis and implications for research and commentaries on reviews focused on exogenous progestogen to maintain pregnancies and cancer risk among children conceived using fertility treatments.