Measuring 21 low-value hospital procedures: claims analysis of Australian private health insurance data (2010-2014)

Quantifying Low-Value Care in Germany: An Observational Study Using Statutory Health Insurance Data From 2018 to 2021

OBJECTIVES

Low-value care refers to medical services whose benefits do not outweigh the costs and potential harm. This study estimates the prevalence, distribution, and associated costs of 24 low-value care services within the German public healthcare system.

METHODS

This study was designed as a large-scale retrospective observational study using statutory health insurance data provided by the Techniker Krankenkasse, spanning from 2018 to 2021, covering approximately 11.1 million insured individuals annually. The prevalence of 24 low-value service indicators, which were identified through a systematic review and expert consultations, was calculated. To address uncertainties in distinguishing between appropriate and low-value care, both broad (potential overestimation) and narrow definitions (potential underestimation) were applied to all suitable indicators, providing a range within which the true extent of low-value care is expected to lie.

RESULTS

Between 2019 and 2021, 1.6 million patients were identified as having received at least 1 low-value service using the 24 indicators. Of all 10.6 million delivered services (cases) evaluated, on average per year, 1.1 million cases (broad definition) and 0.43 million cases (narrow definition) were classified as low-value care, corresponding to 10.4% and 4.0%, respectively. The costs incurred by the identified services were approximately euros €15.5 million (broad definition) and €9.9 million (narrow definition) annually.

CONCLUSIONS

Despite the limitations of German statutory health insurance data, considerable low-value care was found within several of the 24 low-value indicators. The findings highlight the necessity for targeted interventions to mitigate low-value care in Germany, guiding healthcare policy and practice to enhance quality and safety effectively.

Low-value health care, de-implementation, and implications for nursing research: A discussion paper

Globally, the nursing profession constitutes the largest proportion of the health workforce; however, it is challenged by widespread workforce shortages relative to need. Strategies to promote recruitment of the nursing workforce are well-established, with a lesser focus on strategies to alleviate the burden on the existing workforce. This burden may be exacerbated by the impact of low-value health care, characterised as health care that provides little or no benefit for patients, or has the potential to cause harm. Low-value health care is a global problem, a major contributor to the waste of healthcare resources, and a key focus of health system reform. Evidence of variation in low-value health care has been identified across countries and system levels. Research on low-value health care has largely focused on the medical profession, with a paucity of research examining either low-value health care or the de-implementation of low-value health care from a nursing perspective. The objective of this paper is to provide a scholarly discussion of the literature around low-value health care and de-implementation, with the purpose of identifying implications for nursing research. With increasing pressures on the global nursing workforce, research identifying low-value health care and developing approaches to de-implement this care, is crucial.

A Taxonomy for Health Information Systems

The health sector is highly digitized, which is enabling the collection of vast quantities of electronic data about health and well-being. These data are collected by a diverse array of information and communication technologies, including systems used by health care organizations, consumer and community sources such as information collected on the web, and passively collected data from technologies such as wearables and devices. Understanding the breadth of IT that collect these data and how it can be actioned is a challenge for the significant portion of the digital health workforce that interact with health data as part of their duties but are not for informatics experts. This viewpoint aims to present a taxonomy categorizing common information and communication technologies that collect electronic data. An initial classification of key information systems collecting electronic health data was undertaken via a rapid review of the literature. Subsequently, a purposeful search of the scholarly and gray literature was undertaken to extract key information about the systems within each category to generate definitions of the systems and describe the strengths and limitations of these systems.

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.

Out-of-pocket expenditure, need, utilisation, and private health insurance in the Australian healthcare system

Despite widespread public service provision, public funding, and private health insurance (PHI), 20% of all healthcare expenditure across the OECD is covered by out-of-pocket expenditure (OOPE). This creates an equity concern for the increasing number of individuals with chronic conditions and greater need, particularly if higher need coincides with lower income. Theoretically, individuals may mitigate OOPE risk by purchasing PHI, replacing variable OOPE with fixed expenditure on premiums. Furthermore, if PHI premiums are not risk-rated, PHI may redistribute some of the financial burden from less healthy PHI holders that have greater need to healthier PHI holders that have less need. We investigate if the burden of OOPE for individuals with greater need increases less strongly for individuals with PHI in the Australian healthcare system. The Australian healthcare system provides public health insurance with full, partial, or limited coverage, depending on the healthcare service used, and no risk rating of PHI premiums. Using data from the Household, Income and Labour Dynamics in Australia survey we find that individuals with PHI spend a greater share of their disposable income on OOPE and that the difference in OOPE share between PHI and non-PHI holders increases with greater need and utilisation, contrary to the prediction that PHI may mitigate OOPE. We also show that OOPE is a greater concern for poorer individuals for whom the difference in OOPE by PHI is the greatest.

Barriers and facilitators to reducing low-value care for the management of low back pain in Iran: a qualitative multi-professional study

INTRODUCTION

Low back pain (LBP) is a prevalent musculoskeletal disorder with a wide range of etiologies, ranging from self-limiting conditions to life-threatening diseases. Various modalities are available for the diagnosis and management of patients with LBP. However, many of these health services, known as low-value care (LVC), are unnecessary and impose undue financial costs on patients and health systems. The present study aimed to explore the perceptions of service providers regarding the facilitators and barriers to reducing LVC in the management of LBP in Iran.

METHODS

This qualitative descriptive study interviewed a total of 20 participants, including neurosurgeons, physiatrists, orthopedists, and physiotherapists, who were selected through purposive and snowball sampling strategies. The collected data were analyzed using the thematic content analysis approach.

RESULTS

Thirty-nine sub-themes, with 183 citations, were identified as barriers, and 31 sub-themes, with 120 citations, were defined as facilitators. Facilitators and barriers to reducing LVC for LBP, according to the interviewees, were categorized into five themes, including: (1) individual provider characteristics; (2) individual patient characteristics; (3) social context; (4) organizational context; and (5) economic and political context. The ten most commonly cited barriers included unrealistic tariffs, provider-induced demand, patient distrust, insufficient time allocation, a lack of insurance coverage, a lack of a comprehensive referral system, a lack of teamwork, cultural challenges, a lack of awareness, and defensive medicine. Barriers such as adherence to clinical guidelines, improving the referral system, improving the cultural status of patients, and facilitators such as strengthening teamwork, developing an appropriate provider-patient relationship, improving the cultural status of the public, motivating the patients, considering an individualized approach, establishing a desirable payment mechanism, and raising the medical tariffs were most repeatedly stated by participants.

CONCLUSION

This study has pointed out a great number of barriers and facilitators that shape the provision of LVC in the management of LBP in Iran. Therefore, it is essential for relevant stakeholders to consider these findings in order to de-implement LVC interventions in the process of LBP management.

Measuring low-value care in hospital discharge records: evidence from China

Background

Plenty of efforts have been made to reduce the use of low-value care (the care that is not expected to provide net benefits for patients) across the world, but measures of low-value care have not been developed in China. This study aims to develop hospital discharge records-based measures of low-value surgical procedures, evaluate their annual use and associated expenditure, and analyze the practice patterns by characterizing its temporal trends and correlations across rates of different low-value procedures within hospitals.

Methods

Informed by evidence-based lists including Choosing Wisely, we developed 11 measures of low-value surgical procedures. We evaluated the count and proportion of low-value episodes, as well as the proportion of expenditure and medical insurance payouts for these episodes, using hospital discharge records in Sichuan Province, China during a period of 2016-2022. We compared the count and expenditure detected by different versions of these measures, which varied in sensitivity and specificity. We characterized the temporal trends in the rate of low-value surgical procedures and estimated the annual percent change using joint-point regression. Additionally, we calculated the Spearman correlation coefficients between the risk-standardized rates of low-value procedures which were estimated by multilevel models adjusting for case mix across hospitals.

Findings

Low-value episodes detected by more specific versions of measures accounted for 3.25% (range, 0.11%-71.66%), and constituted 6.03% (range, 0.32%-84.63%) and 5.90% (range, 0.33%-82.86%) of overall expenditure and medical insurance payouts, respectively. The three figures accounted for 5.90%, 8.41%, and 8.38% in terms of more sensitive versions of measures. Almost half of the low-value procedures (five out of eleven) experienced an increase in rates during the period of 2016-2022, with four of them increasing over 20% per year. There was no significant correlation across risk-standardized rates of different low-value procedures within hospitals (mean r for pairwise, 0.03; CI, -0.02, 0.07).

Interpretation

Despite overall low-value practices detected by the 11 developed measures was modest, certain clinical specialties were plagued by widespread low-value practices which imposed heavy economic burdens for the healthcare system. Given the pervasive and significant upward trends in rates of low-value practices, it has become increasingly urgent to reduce such practices. Interventions in reducing low-value practices in China would be procedure-specific as practice patterns of low-value care varied by procedures and common drivers of low-value practices may not exist.

Funding

The National Science Foundation of China (72074163), Taikang Yicai Public Health and Epidemic Control Fund, Sichuan Science and Technology Program (2022YFS0052 and 2021YFQ0060), and Sichuan University (2018hhf-27 and SKSYL201811).

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.

Developing a How-to-Guide for Health Technology Reassessment: "The HTR Playbook"

BACKGROUND

To develop a knowledge translation (KT) tool that will provide guidance to stakeholders actively planning or considering implementation of a health technology reassessment (HTR) initiative.

METHODS

The KT tool is an international and collaborative endeavour between HTR researchers in Canada, Australia, and the United Kingdom. Evidence from a meta-review of documented international HTR experiences and approaches provided the conceptual framing for the KT tool. The purpose, audience, format, and overall scope and content of the tool were established through iterative discussions and consensus. An initial version of the KT tool was beta-tested with an international community of relevant stakeholders (i.e., potential users) at the Health Technology Assessment International 2018 annual meeting.

RESULTS

An open access workbook, referred to as the HTR playbook, was developed. As a KT tool, the HTR playbook is intended to simplify the complex HTR planning process by navigating users step-by-step through 6 strategic domains: characteristics of the candidate health technology (The Stats and Projections), stakeholders to engage (The Team), potential facilitators and/or barriers within the policy context (The Playing Field), strategic use of different levers and tools (The Offensive Plays), unintended consequences (The Defensive Plays), and metrics and methods for monitoring and evaluation (Winning the Game).

CONCLUSION

The HTR playbook is intended to enhance a user's ability to successfully complete a HTR by helping them systematically consider the different elements and approaches to achieve the right care for the patient population in question.

Prevalence and changes of low-value care at acute care hospitals: a multicentre observational study in Japan

OBJECTIVES

We aimed to examine the use and factors associated with the provision of low-value care in Japan.

DESIGN

A multicentre observational study.

SETTING

Routinely collected claims data that include all inpatient and outpatient visits in 242 large acute care hospitals (accounting for approximately 11% of all acute hospitalisations in Japan).

PARTICIPANTS

345 564 patients (median age (IQR): 62 (40-75) years; 182 938 (52.9%) women) seeking care at least once in the hospitals in the fiscal year 2019.

PRIMARY AND SECONDARY OUTCOME MEASURES

We identified 33 low-value services, as defined by clinical evidence, and developed two versions of claims-based measures of low-value services with different sensitivity and specificity (broader and narrower definitions). We examined the number of low-value services, the proportion of patients receiving these services and the proportion of total healthcare spending incurred by these services in 2019. We also evaluated the 2015-2019 trends in the number of low-value services.

RESULTS

Services identified by broader low-value care definition occurred in 7.5% of patients and accounted for 0.5% of overall annual healthcare spending. Services identified by narrower low-value care definition occurred in 4.9% of patients and constituted 0.2% of overall annual healthcare spending. Overall, there was no clear trend in the prevalence of low-value services between 2015 and 2019. When focusing on each of the 17 services accounting for more than 99% of all low-value services identified (narrower definition), 6 showed decreasing trends from 2015 to 2019, while 4 showed increasing trends. Hospital size and patients' age, sex and comorbidities were associated with the probability of receiving low-value service.

CONCLUSIONS

A substantial number of patients received low-value care in Japan. Several low-value services with high frequency, especially with increasing trends, require further investigation and policy interventions for better resource allocation.

Determinants of the de-implementation of low-value care: a multi-method study

Background

There is an urgent need to understand the determinants (i.e., barriers and facilitators) of de-implementation. The purpose of this study was to develop a comprehensive list of determinants of the de-implementation of low-value care from the published literature and to compare this list to determinants identified by a group of stakeholders with lived experience with de-implementation.

Methods

This was a two-phase multi-method study. First, a systematic review examined published barriers and facilitators to de-implementation. Articles were identified through searches within electronic databases, reference lists and the grey literature. Citations were screened independently and in duplicate and included if they were: 1) written in English; and 2) described a barrier or facilitator to de-implementation of any clinical practice in adults (age ≥ 18 years). ‘Raw text’ determinants cited within included articles were extracted and synthesized into a list of representative determinants using conventional content analysis. Second, semi-structured interviews were conducted with decision-makers (unit managers and medical directors) and healthcare professionals working in adult critical care medicine to explore the overlap between the determinants found in the systematic review to those experienced in critical care medicine. Thematic content analysis was used to identify key themes emerging from the interviews.

Results

In the systematic review, reviewers included 172 articles from 35,368 unique citations. From 437 raw text barriers and 280 raw text facilitators, content analysis produced 29 distinct barriers and 24 distinct facilitators to de-implementation. Distinct barriers commonly cited within raw text included ‘lack of credible evidence to support de-implementation’ (n = 90, 21%), ‘entrenched norms and clinicians’ resistance to change (n = 43, 21%), and ‘patient demands and preferences’ (n = 28, 6%). Distinct facilitators commonly cited within raw text included ‘stakeholder collaboration and communication’ (n = 43, 15%), and ‘availability of credible evidence’ (n = 33, 12%). From stakeholder interviews, 23 of 29 distinct barriers and 20 of 24 distinct facilitators from the systematic review were cited as key themes relevant to de-implementation in critical care.

Conclusions

The availability and quality of evidence that identifies a clinical practice as low-value, as well as healthcare professional willingness to change, and stakeholder collaboration are common and important determinants of de-implementation and may serve as targets for future de-implementation initiatives.

Trial registration

The systematic review was registered in PROSPERO CRD42016050234.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-07827-4.

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.

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.

Implementing models of care for musculoskeletal conditions in health systems to support value-based care

Models of Care (MoCs), and their local Models of Service Delivery, for people with musculoskeletal conditions are becoming an acceptable way of supporting effective implementation of value-based care. MoCs can support the quadruple aim of value-based care through providing people with musculoskeletal disease improved access to health services, better health outcomes and satisfactory experience of their healthcare; ensure the health professionals involved are experiencing satisfaction in delivering such care and health system resources are better utilised. Implementation of MoCs is relevant at the levels of clinical practice (micro), service delivery organisations (meso) and health system (macro) levels. The development, implementation and evaluation of MoCs has evolved over the last decade to more purposively engage people with lived experience of their condition, to operationalise the Chronic Care Model and to employ innovative solutions. This paper explores how MoCs have evolved and are supporting the delivery of value-based care in health systems.

Hospital characteristics associated with low-value care in public hospitals in New South Wales, Australia

BACKGROUND

Rates of low-value care vary between hospitals in New South Wales, Australia. Understanding factors associated with this variation will help in understanding the drivers of low-value care and in planning initiatives to reduce low-value care.

METHODS

For eight low-value procedures, we used Poisson regression of the number of low-value episodes at each hospital to assess the association between low-value care and hospital characteristics. We also used hierarchical clustering on the low-value procedures used and their rates at each hospital to try to identify groups of hospitals with higher or lower rates of low-value care across multiple procedures.

RESULTS

Some hospital characteristics, such as hospital peer group and proportion of total episodes that involve the specific procedure, showed associations for some procedures, but none were consistent across all eight procedures. We clustered hospitals into five groups, but low-value care rates did not differ much between these groups.

CONCLUSION

Available hospital variables show little association with rates of low-value care and no patterns across different low-value procedures. We need to investigate factors within hospitals, such as clinician knowledge and beliefs about low-value care.

Choosing Wisely: The Korean Perspective and Launch of the 'Right Decision in Cancer Care' Initiative

Government healthcare expenditure is rising in Korea, and the costs incurred by patients in Korea exceed those incurred by patients in other Organization for Economic Co-operation and Development countries. Despite the increasing health expenditure, patient demand for services is increasing as well, so it is now becoming recognized that cancer care needs to be balanced. The most important measure in cancer care optimization is to provide high-quality care while keeping costs sustainable. The Korean Cancer Association considers the current situation of cancer therapy in Korea the foremost issue, which has led to the implementation of the nationwide ‘Right Decisions in Cancer Care’ initiative. This initiative is based on the concepts of medical professionalism in that it should be led by physicians working in the field of oncology, that education should be offered to patients and clinicians, and that it should influence healthcare policy. In this article, we introduce the nationwide ‘Right Decision in Cancer Care’ initiative and highlight the five initial items on its agenda. The agenda is open to expansion and update as the medical environment evolves and additional clinical evidence becomes available.

Commentary: The Consequences of Private Involvement in Healthcare - The Australian Experience

The Cambie proposition is the American individualistic one: If I can afford to pay for quick access to care, then that should be my right. It denies any concept of universalism, of the common good or that your rights might adversely impact my rights and my healthcare experience. Some private care proponents offer the magical prospect that this quicker access for the wealthy few has no impact on access for the many. It is even sometimes perversely argued that if the wealthy pay for access outside the public health system, that reduces demand for public care, freeing up space for others and, hey presto, magically everyone benefits from the increase in inequality. The Australian experience is that this magic does not work.

Measuring Hospital-Acquired Complications Associated With Low-Value Care

IMPORTANCE

Studies of low-value care have focused on the prevalence of low-value care interventions but have rarely quantified downstream consequences of these interventions for patients or the health care system.

OBJECTIVE

To measure immediate in-hospital harm associated with 7 low-value procedures.

DESIGN, SETTING, AND PARTICIPANTS

A cohort study with a descriptive analysis using hospital admission data from 225 public hospitals in New South Wales, Australia, was conducted from July 1, 2014, to June 30, 2017. All 9330 episodes involving 1 of 7 low-value procedures were evaluated, including endoscopy for dyspepsia in people younger than 55 years (3689 episodes); knee arthroscopy for osteoarthritis or meniscal tears (3963 episodes); colonoscopy for constipation in people younger than 50 years (665 episodes); endovascular repair of abdominal aortic aneurysm in asymptomatic, high-risk patients (508 episodes); carotid endarterectomy in asymptomatic, high-risk patients (273 episodes); renal artery angioplasty (176 episodes); and spinal fusion for uncomplicated low back pain (56 episodes). Sixteen hospital-acquired complications (HACs) were used as a measure of harm associated with low-value care.

MAIN OUTCOMES AND MEASURES

For each low-value procedure, the percentage associated with any HAC and the difference in mean length of stay for patients receiving low-value care with and without HACs were calculated.

RESULTS

Across the 225 hospitals and 9330 episodes of low-value care, rates of HACs were low for low-value endoscopy (4 [0.1%] episodes; 95% CI, 0.02%-0.2%), knee arthroscopy (18 [0.5%] episodes; 95% CI, 0.2%-0.7%), and colonoscopy (2 [0.3%] episodes; 95% CI, 0.0%-0.9%) but higher for low-value spinal fusion (4 [7.1%] episodes; 95% CI, 2.2%-11.5%), endovascular repair of abdominal aortic aneurysm (76 [15.0%] episodes; 95% CI, 11.1%-19.7%), carotid endarterectomy (21 [7.7%] episodes; 95% CI, 5.2%-10.1%), and renal artery angioplasty (15 [8.5%] episodes; 95% CI, 5.8%-11.5%). For most procedures, the most common HAC was health care-associated infection, which accounted for 83 (26.3%) (95% CI, 21.8%-31.5%) of all HACs observed. The highest rate of health care-associated infection was 8.4% (95% CI, 5.2%-11.4%) for renal artery angioplasty. For all 7 low-value procedures, median length of stay for patients with an HAC was 2 times or more the median length of stay for patients without a complication. For example, median length of stay was 1 (interquartile range [IQR], 1-1) day for knee arthroscopy with no HACs but increased to 10.5 (IQR, 1.0-21.3) days for patients with an HAC.

CONCLUSIONS AND RELEVANCE

These findings suggest that use of these 7 procedures in patients who probably should not receive them is harming some of those patients, consuming additional hospital resources, and potentially delaying care for other patients for whom the services would be appropriate. Although only some immediate consequences of just 7 low-value services were examined, harm related to all low-value procedures was noted, including high rates of harm for certain higher-risk procedures. The full burden of low-value care for patients and the health system is yet to be quantified.