Measuring Hospital-Acquired Complications Associated With Low-Value Care

Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach

BACKGROUND

Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.

OBJECTIVE

The aim of this study was to create a HAC risk prediction machine learning (ML) framework using hospital administrative data collections within North Metropolitan Health Service (NMHS), Western Australia.

METHOD

A retrospective cohort study was performed among 64,315 patients between July 2020 to June 2022 to develop an automated ML framework by inputting HAC and the healthcare site to obtain site-specific predictive algorithms for patients admitted to the hospital in NMHS. Univariate analysis was used for initial feature screening for 270 variables. Of these, 77 variables had significant relationship with any HAC. After excluding non-contemporaneous data, 37 variables were included in developing the ML framework based on logistic regression (LR), decision tree (DT) and random forest (RF) models to predict occurrence of four specific HACs: delirium, aspiration pneumonia, pneumonia and urinary tract infection.

RESULTS

All models exhibited similar performance with area under the curve scores around 0.90 for both training and testing datasets. For sensitivity, DT and RF exceeded LR performance while on average, false positives were lowest for LR-based models. Patient's length of stay, Charlson Index, operation length and intensive care unit stay were common predictors.

CONCLUSION

Integrating ML-based risk detection systems into clinical workflows can potentially enhance patient safety and optimise resource allocation. LR-based models exhibited best performance.

IMPLICATIONS

We have successfully developed a "real-time" risk prediction model, where patient risk scores are calculated and reviewed daily.

Neighborhood socioeconomic disadvantage predicts extended length of stay and nonhome discharge but not readmissions or reoperations after anterior cervical discectomy and fusion

BACKGROUND CONTEXT

Socioeconomic disadvantage has been associated with worse outcomes across various surgical disciplines. However, the impact of neighborhood-level disadvantage on outcomes after anterior cervical discectomy and fusion (ACDF) remains poorly studied.

PURPOSE

To evaluate the association of neighborhood socioeconomic disadvantage, as measured by Area Deprivation Index (ADI), with patient demographics, lengths of stay, discharge dispositions, and 90-day reoperation and readmission rates following ACDF.

STUDY DESIGN/SETTING

Prospective cohort study of consecutive patients undergoing primary ACDF at a tertiary academic medical center from October 2018 to October 2020.

PATIENT SAMPLE

About 395 patients with primary ACDF were included. Patients were assigned ADI scores based on home zip codes and categorized into quartiles: low (≤25), mild (26-50), moderate (51-75), and severe (76-100) disadvantage.

OUTCOME MEASURES

Length of stay >3 days, nonhome discharge, 90-day readmissions, and 90-day reoperations. Demographics, comorbidities, and procedural details were also collected.

METHODS

Univariate and multivariate analyses compared outcomes across ADI quartiles. Multivariate logistic regression evaluated the impact of ADI on outcomes while controlling for other factors.

RESULTS

Compared to the low deprivation group, patients with severe deprivation were younger, more likely to be black, unmarried, uninsured, and current smokers (all p<.001). Higher ADI quartile independently predicted extended length of stay (OR 2.09, 95% CI 1.34-3.41, p<.001) and nonhome discharge (OR 1.83, 95% CI 1.17-3.01, p=.011). No significant differences were found in 90-day readmissions or reoperations based on ADI.

CONCLUSIONS

Greater neighborhood socioeconomic disadvantage is independently associated with prolonged hospitalization and lower likelihood of home discharge after ACDF. These findings highlight the importance of considering social determinants of health in risk stratification and care optimization for patients undergoing spine surgery.

Adherence to "Choosing Wisely" Recommendations in Pediatric Emergency Medicine

STUDY OBJECTIVE

In 2022, Choosing Wisely released recommendations to decrease the frequency of low-value testing in pediatric emergency medicine. The extent to which low-value testing occurs in US emergency departments (EDs) may vary by ED experience. We compared the frequency of low-value testing with ED volume.

METHODS

We conducted a cross-sectional study using data from the Healthcare Cost and Utilization Project in all EDs in 8 states from January 1, 2014 to December 31, 2020. We included children aged below 18 years with one of the addressed diagnoses: respiratory tract illness, mental or behavioral health condition, seizure, constipation, or respiratory viral illness. ED volume was defined using National Pediatric Readiness Program categories of pediatric visits per year: less than 1,800 (low); 1,800 to 4,999 (low-medium); 5,000 to 9,999 (medium); or ≥10,000 (high) with an outcome of low-value testing, determined using procedure codes. We evaluated the adjusted association of volume with low-value testing using logistic regression with clustering by site.

RESULTS

We analyzed 5.6 million visits. Low-value tests were obtained in 19.3% of encounters. Low-value tests were obtained in 12.2% of visits to low-volume EDs, 20.5% for low-medium-volume EDs, 23.1% for medium-volume EDs, and 18.7% for high-volume EDs. Low-volume sites had the lowest rates of testing for mental or behavioral health conditions, constipation, and respiratory viral illness. High-volume sites had the lowest rates of testing for respiratory tract illness and seizure.

CONCLUSIONS

Low-value testing occurred in one fifth of ED visits for children with a study condition. The relationship of ED volume to low-value testing was inconsistent across conditions.

Understanding Healthcare Personnel's Perceptions About Reducing Low-Value Care: A Scoping Review

Objective

To systematically and comprehensively search the studies describing healthcare personnel's perceptions about reducing low-value care.

Design

Scoping review.

Methods

Evidence sources included PubMed, ProQuest and CINAHL databases from inception to 13th September 2023, along with grey literature, expert suggestions and reference lists from the included articles. Studies were included if they contained information about healthcare personnel's perceptions and involvement in reducing low-value care. The extracted data included general study characteristics, the type of low-value care of interest, clinical settings, and main findings related to healthcare personnel's perceptions. Three frameworks were used to guide the data synthesis. First, the main findings from the included studies were mapped onto the Process of De-adoption Framework to capture the aspects of low-value care that healthcare personnel focused on, including the identification of low-value care, barriers and facilitators to reducing low-value care, and intervention strategies. The identified barriers and facilitators were then mapped onto the relevant domains of the Theoretical Domains Framework. Finally, the intervention strategies, as informed by healthcare personnel's perceptions, were mapped to the Cochrane Effective Practice and Organization of Care taxonomy framework.

Results

The 37 included studies were those published since 2011. Of these, 15 studies were conducted in the United States. Most included studies (n = 19) described low-value care not specific to a care measure. Twelve of the included studies described healthcare personnel's perceptions regarding the identification of low-value care, 34 studies described healthcare personnel's perceptions regarding influence factors to reducing low-value care and 18 studies described healthcare personnel's perceptions regarding intervention strategies to reduce low-value care. "Knowledge" (n = 16) and 'environmental context and resources' (n = 16) were the most common influence factors of reducing low-value care. "Education" was the most commonly discussed intervention strategy for reducing low-value care (n = 14).

Conclusion

Healthcare personnel's perceptions focused on identifying low-value care, barriers and facilitators of reducing low-value care and intervention strategies to reduce low-value care. Education was potentially the main effect of the intervention strategies in addressing lack of knowledge, which is the main barrier to reducing low-value care. Future research should develop and implement intervention strategies to reduce low-value care based on healthcare personnel's perceptions.

Pathology requesting in a regional Australian Emergency Department; an observational study comparing current practice with college guidelines

INTRODUCTION

In 2018, the Australasian College for Emergency Medicine (ACEM) and the Royal College of Pathologists of Australasia (RCPA) produced a guideline to encourage appropriate pathology requesting in the Emergency Department (ED).

OBJECTIVE

To assess adherence to the ACEM/RCPA pathology testing guideline in a regional ED.

METHODS, DESIGN, SETTING AND PARTICIPANTS

This was a retrospective observational study conducted at a regional Australian ED over 7 days. Adults with a presenting complaint encompassed by the guideline were included. All blood tests were audited against the guideline recommendations and classified as indicated or non-indicated. Chi-squared analyses were performed to explore the association between presenting complaint and non-indicated testing.

MAIN OUTCOME MEASURE

The primary outcome was the number of non-indicated blood tests.

RESULTS

Forty percent of tests ordered were not clinically indicated, with non-indicated testing occurring during 87% of encounters. The C-reactive protein (CRP) was the test most frequently ordered outside of guidelines (94% non-indicated). Patients presenting with lower abdominal pain accounted for nearly one-quarter of all non-indicated tests.

CONCLUSIONS

Blood tests were commonly requested outside of the guideline recommendations and interventions to improve pathology stewardship are required.

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.

Gender Disparities in Adverse Events Resulting From Low-Value Practices in Family Practice in Spain: A Retrospective Cohort Study

Objectives: This study aimed to evaluate gender-based disparities in preventable adverse events due to low-value practices (LVPs) in primary care. Methods: A retrospective cohort study in Alicante, Spain. Results: A total of 1,516 patient records were examined, finding that older individuals and women experienced more LVP-related events. Female patients faced a higher volume of such events than males with the same health issue. Interaction analysis revealed patients treated by male physicians had more severe events, while those attended by females experienced milder ones. Adverse events were more frequent in LVPs associated with gender-based reasons. Conclusion: These results highlight the need for tailored healthcare professional awareness programs on overuse's impact on safety. Addressing outcome differences between male and female patients should inform awareness campaigns.

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.

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.

Can we nudge to reduce the perioperative low value care? Decision making factors influencing safe practice implementation

PURPOSE OF THE REVIEW

Highlight sources of low-value care (LVC) during the perioperative period help understanding the decision making behind its persistence, the barriers for change, and the potential implementation strategies to reduce it.

RECENT FINDINGS

The behavioural economics science spread of use through aligned strategies or nudge units offer an opportunity to improve success in the LVC reduction.

SUMMARY

LVC, such as unneeded surgeries, or preanaesthesia tests for low-risk surgeries in low-risk patients, is a relevant source of waste and preventable harm, most especially in the perioperative period. Despite the international focus on it, initial efforts to reduce it in the last decade have not clearly shown a sustainable improvement. Understanding the shared decision-making process and the barriers to be expected when tackling LVC is the first step to build the change. Applying a structured strategy based on the behavioural science principles may be the path to increasing high value care in an effective an efficient way. It is time to foster nudge units at different healthcare system levels.

Low-value wound care: Are nurses and physicians choosing wisely? A mixed methods study

BACKGROUND

Choosing Wisely is an international movement that stimulates conversations about unnecessary care. The campaign created five recommendations including a statement that less wound care is sometimes better.

AIMS

The study aims to evaluate nurses' and physicians' adherence to the Choosing Wisely recommendations for acute wound care in the Netherlands and the barriers and facilitators to improve this.

DESIGN

This is a mixed methods study using a survey and interviews.

METHODS

The survey was completed by 171 nurses and 71 physicians from November 2017 to February 2018. A total of 17 nurses and 6 physicians were interviewed.

RESULTS

Awareness of the five recommendations ranged from 62% to 89% for nurses and 46% to 85% for physicians. However, up to 15% of the nurses and 28% of physicians were aware but did not adhere to the recommendations. Barriers to adhering were a lack of knowledge, the work environment and perceptions of patients' preferences. Repeated attention, cost-consciousness and an open culture facilitated the implementation.

CONCLUSION

Although most nurses and physicians were aware of the recommendations, not all adhered to them. Increasing awareness is not enough for successful implementation. A tailored approach that removes the barriers is necessary, such as increasing knowledge about wounds and changing the work environment.

Machine learning-based prediction of low-value care for hospitalized patients

Objective

Low-value care (i.e., costly health care treatments that provide little or no benefit) is an ongoing problem in United States hospitals. Traditional strategies for reducing low-value care are only moderately successful. Informed by behavioral science principles, we sought to use machine learning to inform a targeted prompting system that suggests preferred alternative treatments at the point of care but before clinicians have made a decision.

Methods

We used intravenous administration of albumin for fluid resuscitation in intensive care unit (ICU) patients as an exemplar of low-value care practice, identified using the electronic health record of a multi-hospital health system. We divided all ICU episodes into 4-h periods and defined a set of relevant clinical features at the period level. We then developed two machine learning models: a single-stage model that directly predicts if a patient will receive albumin in the next period; and a two-stage model that first predicts if any resuscitation fluid will be administered and then predicts albumin only among the patients with a high probability of fluid use.

Results

We examined 87,489 ICU episodes divided into approximately 1.5 million 4-h periods. The area under the receiver operating characteristic curve was 0.86 for both prediction models. The positive predictive value was 0.21 (95% confidence interval: 0.20, 0.23) for the single-stage model and 0.22 (0.20, 0.23) for the two-stage model. Applying either model in a targeted prompting system could prevent 10% of albumin administrations, with an attending physician receiving one prompt every 4.2 days of ICU service.

Conclusion

Prediction of low-value care is feasible and could enable a point-of-care, targeted prompting system that offers suggestions ahead of the moment of need before clinicians have already decided. A two-stage approach does not improve performance but does interject new levers for the calibration of such a system.

Impact of low-value medications on quality of life, hospitalization and costs - A longitudinal analysis of patients living with dementia

INTRODUCTION

This study aimed to analyze the impact of low-value medications (Lvm), that is, medications unlikely to benefit patients but to cause harm, on patient-centered outcomes over 24 months.

METHODS

This longitudinal analysis was based on baseline, 12 and 24 months follow-up data of 352 patients with dementia. The impact of Lvm on health-related quality of life (HRQoL), hospitalizations, and health care costs were assessed using multiple panel-specific regression models.

RESULTS

Over 24 months, 182 patients (52%) received Lvm at least once and 56 (16%) continuously. Lvm significantly increased the risk of hospitalization by 49% (odds ratio, confidence interval [CI] 95% 1.06-2.09; p = 0.022), increased health care costs by €6810 (CI 95% -707€-14,27€; p = 0.076), and reduced patients' HRQoL (b = -1.55; CI 95% -2.76 to -0.35; p = 0.011).

DISCUSSION

More than every second patient received Lvm, negatively impacting patient-reported HRQoL, hospitalizations, and costs. Innovative approaches are needed to encourage prescribers to avoid and replace Lvm in dementia care.

HIGHLIGHTS

Over 24 months, more than every second patient received low-value medications (Lvm). Lvm negatively impact physical, psychological, and financial outcomes. Appropriate measures are needed to change prescription behaviors.

Inappropriate hospital admission as a risk factor for the subsequent development of adverse events: a cross-sectional study

BACKGROUND

All health overuse implies an unnecessary risk of patients suffering adverse events (AEs). However, this hypothesis has not been corroborated by direct estimates for inappropriate hospital admission (IHA). The objectives of the study were the following: (1) to analyze the association between IHA and the development of subsequent AEs; (2) to explore the distinct clinical and economic implications of AEs subsequent IHA compared to appropriate admissions.

METHODS

An observational cross-sectional study was conducted on hospitalized patients in May 2019 in a high-complexity hospital in Madrid, Spain. The Appropriateness Evaluation Protocol was used to measure IHA, and the methodologies of the Harvard Medical Practice Study and the European Point Prevalence Survey of Healthcare-associated Infections were used to detect and characterize AEs. The association between IHA and the subsequent.

RESULTS

A total of 558 patients in the hospital ward were studied. IHA increased the risk of subsequent occurrence of AEs (OR [95% CI]: 3.54 [1.87 to 6.69], versus appropriate) and doubled the mean AEs per patient (coefficient [95% CI]: 0.19 [0.08 to 0.30] increase, versus appropriate) after adjusting for confounders. IHA was a predictive variable of subsequent AEs and the number of AEs per patient. AEs developed after IHA were associated with scheduled admissions (78.9% of AEs, versus 27.9% after appropriate admissions; p < 0.001). Compared with AEs developed after appropriate admissions, AEs after IHA added 2.4 additional days of stay in the intensive care unit and incurred an extra cost of €166,324.9 for the studied sample.

CONCLUSIONS

Patients with IHA have a higher risk of subsequent occurrence of AE. Due to the multifactorial nature of AEs, IHA is a possible contributing factor. AEs developed after IHA are associated with scheduled admissions, prolonged ICU stays, and resulted in significant cost overruns.

Identifying and comparing low-value care recommendations for coronary heart disease prevention, diagnosis, and treatment in the US and China

BACKGROUND

Low-value care provides little or no benefit, causes harm and incurs unnecessary costs. Low-value care for coronary heart disease (CHD) is particularly prevalent in the US and China. Identifying low-value care services is the first step in reducing these services. There is currently limited data on identifying a comprehensive CHD low-value care list in the US and China. We aimed to identify and compare low-value care recommendations for CHD prevention, diagnosis, and treatment in the US and China.

METHODS

Clinical practice guidelines (CPGs) related to CHD in the US and China were screened for do-not-do recommendations stating that specific services should be avoided. The similarities and discrepancies of low-value care recommendations for CHD between the two countries were then compared.

RESULTS

We found a total of 38 low-value care recommendations in 6 Chinese CPGs and 98 recommendations in 11 US CPGs. In the US, the most common types of low-value care recommendations were therapeutic medications (44, 44.9%), followed by therapeutic procedures (27, 27.6%), diagnostic imaging (16, 16.3%), diagnostic testing (9, 9.2%) and primary prevention (2, 2.0%). In China, the most common types were therapeutic medications (18, 47.4%), followed by therapeutic procedures (13, 34.2%), diagnostic testing (4, 10.5%), and diagnostic imaging (3, 7.9%).

CONCLUSION

In this study, a comprehensive list of low-value care for CHD in the US and China was established and potentially become the important targets for de-implementation for both countries. The findings may have important implications for other countries, especially low-and middle-income countries, to reduce low-value care for CHD.

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.

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

OBJECTIVE

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

DATA SOURCES

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

STUDY DESIGN

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

DATA COLLECTION/EXTRACTION METHODS

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

PRINCIPAL FINDINGS

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

CONCLUSIONS

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

Adverse Effects in Patients with Intellectual and Developmental Disabilities Hospitalized at the University Clinical Hospital

(1) Background: Providing the patient with the health care they need in a personalized and appropriate manner and without adverse effects (AEs) is a part of quality of care and patient safety. The aim of this applied research project was the assessment of AEs as a clinical risk in patients with high social vulnerability such as persons with intellectual and developmental disabilities (PwIDD). (2) Methods: A retrospective epidemiological cohort study was performed on exposed and unexposed groups (the control group) in order to estimate the incidence of AEs in PwIDDs and assess their importance for this category of patients. (3) Results: AEs were observed with a frequency of 30.4% (95% CI) in the PwIDD exposed group, with significant differences to the unexposed group (p = 0.009). No differences were observed with regards to gender. Age was as a marker of care risk, with the highest incidence of AEs in the group of 60-69 years. (4) Conclusions: PwIDDs have a high risk of suffering AEs while receiving health care assistance due to their high social and clinical vulnerability. Health care practitioners must therefore be aware of these results and keep these observations in mind in order to carry out personalized, preventive, competent, effective, and safe medical care.

Development of the SPREAD framework to support the scaling of de-implementation strategies: a mixed-methods study

OBJECTIVE

We aimed to increase the understanding of the scaling of de-implementation strategies by identifying the determinants of the process and developing a determinant framework.

DESIGN AND METHODS

This study has a mixed-methods design. First, we performed an integrative review to build a literature-based framework describing the determinants of the scaling of healthcare innovations and interventions. PubMed and EMBASE were searched for relevant studies from 1995 to December 2020. We systematically extracted the determinants of the scaling of interventions and developed a literature-based framework. Subsequently, this framework was discussed in four focus groups with national and international de-implementation experts. The literature-based framework was complemented by the findings of the focus group meetings and adapted for the scaling of de-implementation strategies.

RESULTS

The literature search resulted in 42 articles that discussed the determinants of the scaling of innovations and interventions. No articles described determinants specifically for de-implementation strategies. During the focus groups, all participants agreed on the relevance of the extracted determinants for the scaling of de-implementation strategies. The experts emphasised that while the determinants are relevant for various countries, the implications differ due to different contexts, cultures and histories. The analyses of the focus groups resulted in additional topics and determinants, namely, medical training, professional networks, interests of stakeholders, clinical guidelines and patients' perspectives. The results of the focus group meetings were combined with the literature framework, which together formed the supporting the scaling of de-implementation strategies (SPREAD) framework. The SPREAD framework includes determinants from four domains: (1) scaling plan, (2) external context, (3) de-implementation strategy and (4) adopters.

CONCLUSIONS

The SPREAD framework describes the determinants of the scaling of de-implementation strategies. These determinants are potential targets for various parties to facilitate the scaling of de-implementation strategies. Future research should validate these determinants of the scaling of de-implementation strategies.

Associations Between Low-Value Medication in Dementia and Healthcare Costs

BACKGROUND

Low-value medications (Lvm) provide little or no benefit to patients, may be harmful, and waste healthcare resources and costs. Although evidence from the literature indicates that Lvm is highly prevalent in dementia, evidence about the financial consequences of Lvm in dementia is limited. This study analyzed the association between receiving Lvm and healthcare costs from a public payers' perspective.

METHODS

This analysis is based on data of 516 community-dwelling people living with dementia (PwD). Fourteen Lvm were extracted from dementia-specific guidelines, the German equivalent of the Choosing Wisely campaign, and the PRISCUS list. Healthcare utilization was retrospectively assessed via face-to-face interviews with caregivers and monetarized by standardized unit costs. Associations between Lvm and healthcare costs were analyzed using multiple linear regression models.

RESULTS

Every third patient (n = 159, 31%) received Lvm. Low-value antiphlogistics, analgesics, anti-dementia drugs, sedatives and hypnotics, and antidepressants alone accounted for 77% of prescribed Lvm. PwD who received Lvm were significantly less cognitively impaired than those not receiving Lvm. Receiving Lvm was associated with higher medical care costs (b = 2959 €; 95% CI 1136-4783; p = 0.001), particularly due to higher hospitalization (b = 1911 €; 95% CI 376-3443; p = 0.015) and medication costs (b = 905 €; 95% CI 454-1357; p < 0.001).

CONCLUSION

Lvm were prevalent, more likely occurring in the early stages of dementia, and cause financial harm for payers due to higher direct medical care costs. Further research is required to derive measures to prevent cost-driving Lvm in primary care, that is, implementing deprescribing interventions and moving health expenditures towards higher value resource use.

Evidence for overuse of cardiovascular healthcare services in high-income countries: protocol for a systematic review and meta-analysis

INTRODUCTION

Overuse of cardiovascular healthcare services, defined as the provision of low-value (ineffective, harmful, cost-ineffective) tests, medications and procedures, may be common and associated with increased patient harm and health system inefficiencies and costs. We seek to systematically review the evidence for overuse of different cardiovascular healthcare services in high-income countries.

METHODS AND ANALYSIS

We will search MEDLINE, EMBASE and Evidence-Based Medicine Reviews from 2010 onwards. Two investigators will independently review titles and abstracts and full-text studies. We will include published English-language studies conducted in high-income countries that enrolled adults (mean/median age ≥18 years) and reported the incidence or prevalence of overuse of cardiovascular tests, medications or procedures; adjusted risk factors for overuse; or adjusted associations between overuse and outcomes (reported estimates of morbidity, mortality, costs or lengths of hospital stay). Acceptable methods of defining low-value care will include literature review and multidisciplinary iterative panel processes, healthcare services with reproducible evidence of a lack of benefit or harm, or clinical practice guideline or Choosing Wisely recommendations. Two investigators will independently extract data and evaluate study risk of bias in duplicate. We will calculate summary estimates of the incidence and prevalence of overuse of different cardiovascular healthcare services across studies unstratified and stratified by country; method of defining low-value care; the percentage of included females, different races, and those with low and high socioeconomic status or cardiovascular risk; and study risks of bias using random-effects models. We will also calculate pooled estimates of adjusted risk factors for overuse and adjusted associations between overuse and outcomes overall and stratified by country using random-effects models. We will use the Grading of Recommendations, Assessment, Development and Evaluation to determine certainty in estimates.

ETHICS AND DISSEMINATION

No ethics approval is required for this study as it deals with published data. Results will be presented at meetings and published in a peer-reviewed journal.

PROSPERO REGISTRATION NUMBER

CRD42021257490.

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.

A qualitative interview study of Australian physicians on defensive practice and low value care: "it's easier to talk about our fear of lawyers than to talk about our fear of looking bad in front of each other"

Background

Defensive practice occurs when physicians provide services, such as tests, treatments and referrals, mainly to reduce their perceived legal or reputational risks, rather than to advance patient care. This behaviour is counter to physicians’ ethical responsibilities, yet is widely reported in surveys of doctors in various countries. There is a lack of qualitative research on the drivers of defensive practice, which is needed to inform strategies to prevent this ethically problematic behaviour.

Methods

A qualitative interview study investigated the views and experiences of physicians in Australia on defensive practice and its contribution to low value care. Interviewees were recruited based on interest in medico-legal issues or experience in a health service involved in ‘Choosing Wisely’ initiatives. Semi-structured interviews averaged 60 min in length. Data were coded using the Theoretical Domains Framework, which encapsulates theories of behaviour and behaviour change.

Results

All participants (n = 17) perceived defensive practice as a problem and a contributor to low value care. Behavioural drivers of defensive practice spanned seven domains in the TDF: knowledge, focused on inadequate knowledge of the law and the risks of low value care; skills, emphasising patient communication and clinical decision-making skills; professional role and identity, particularly clinicians’ perception of patient expectations and concern for their professional reputation; beliefs about consequences, especially perceptions of the beneficial and harmful consequences of defensive practice; environmental context and resources, including processes for handling patient complaints; social influences, focused on group norms that encourage or discourage defensive behaviour; and emotions, especially fear of missing a diagnosis. Overall, defensive practice is motivated by physicians’ desire to avoid criticism or scrutiny from a range of sources, and censure from their professional peers can be a more potent driver than perceived legal consequences.

Conclusions

The findings call for strengthening knowledge and skills, for example, to improve clinicians’ understanding of the law and their awareness of the risks of low value care and using effective communication strategies with patients. Importantly, supportive cultures of practice and organisational environments are needed to create conditions in which clinicians feel confident in avoiding defensive practice and other forms of low value care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12910-022-00755-2.

Associations of Chinese diagnosis-related group systems with inpatient expenditures for older people with hip fracture

Background

Hip fracture is frequent in older people and represents a major public health issue worldwide. The increasing incidence of hip fracture and the associated hospitalization costs place a significant economic burden on older patients and their families. On January 1, 2018, the Chinese diagnosis-related group (C-DRG) payment system, which aims to reduce financial barriers, was implemented in Sanming City, southern China. This study aimed to evaluate the associations of C-DRG system with inpatient expenditures for older people with hip fracture.

Methods

An uncontrolled before-and-after study employed data of all the patients with hip fracture aged 60 years or older from all the public hospitals enrolled in the Sanming Basic Health Insurance Scheme from January 1, 2016 to December 31, 2018. The ‘pre C-DRG sample’ included patients from January 1, 2016 to December 31, 2017. The ‘post C-DRG sample’ included patients from January 1, 2018 to December 31, 2018. A propensity score matching analysis was used to adjust the difference in baseline characteristic parameters between the pre and post samples. Data were analyzed using generalized linear models adjusted for the demographic, clinical, and institutional factors. Robust tests were performed by accounting for time trend, the fixed effects of the year and hospitals, and clustering effect within hospitals.

Results

After propensity score matching, we obtained two homogeneous groups of 1123 patients each, and the characteristic variables of the two matched groups were similar. We found that C-DRG reform was associated with a 19.51% decrease in out-of-pocket (OOP) payments (p < 0.001) and a 99.93% decrease in OOP payments as a share of total inpatient expenditure (p < 0.001); whereas total inpatient expenditure was not significantly associated with the C-DRG reform. All the sensitivity analyses did not change the results significantly.

Conclusion

The implementation of C-DRG payment system reduced both the absolute amount of OOP payments and OOP payments as a share of total inpatient expenditure for older patients with hip fracture, without affecting total inpatient expenditure. These results may provide significant insights for policymakers in reducing the financial burden on older patients with hip fracture in other countries.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-02865-3.

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.

Racial and ethnic differences in low-value pediatric emergency care

BACKGROUND

Disparities in health care quality frequently focus on underuse. We evaluated racial/ethnic differences in low-value services delivered in the pediatric emergency department (ED).

METHODS

We performed a retrospective cross-sectional study of low-value services in children discharged from 39 pediatric EDs from January 2018 to December 2019 using the Pediatric Hospital Information System. Our primary outcome was receipt of one of 12 low-value services across nine conditions, including chest radiography in asthma and bronchiolitis; beta-agonist and corticosteroids in bronchiolitis; laboratory testing and neuroimaging in febrile seizure; neuroimaging in afebrile seizure; head injury and headache; and any imaging in sinusitis, constipation, and facial trauma. We analyzed the association of race/ethnicity on receipt of low-value services using generalized linear mixed models adjusted for age, sex, weekend, hour of presentation, payment, year, household income, and distance from hospital.

RESULTS

We included 4,676,802 patients. Compared with non-Hispanic White (NHW) patients, non-Hispanic Black (NHB) and Hispanic patients had lower adjusted odds (aOR [95% confidence interval]) of receiving imaging for asthma (0.60 [0.56 to 0.63] NHB; 0.84 [0.79 to 0.89] Hispanic), bronchiolitis (0.84 [0.79 to 0.89] NHB; 0.93 [0.88 to 0.99] Hispanic), head injury (0.84 [0.80 to 0.88] NHB; 0.80 [0.76 to 0.84] Hispanic), headache (0.67 [0.63 to 0.72] NHB; 0.83 [0.78 to 0.88] Hispanic), and constipation (0.71 [0.67 to 0.74] NHB; 0.76 [0.72 to 0.80] Hispanic). NHB patients had lower odds (95% CI) of receiving imaging for afebrile seizures (0.89 [0.8 to 1.0]) and facial trauma (0.69 [0.60 to 0.80]). Hispanic patients had lower odds (95% CI) of imaging (0.57 [0.36 to 0.90]) and blood testing (0.82 [0.69 to 0.98]) for febrile seizures. NHB patients had higher odds (95% CI) of receiving steroids (1.11 [1.00 to 1.21]) and beta-agonists (1.38 [1.24 to 1.54]) for bronchiolitis compared with NHW patients.

CONCLUSIONS

NHW patients more frequently receive low-value imaging while NHB patients more frequently receive low-value medications for bronchiolitis. Our study demonstrates the differences in care across race and ethnicity extend to many services, including those of low value. These findings highlight the importance of greater understanding of the complex interaction of race and ethnicity with clinical practice.

Longitudinal Content Analysis of the Characteristics and Expected Impact of Low-Value Services Identified in US Choosing Wisely Recommendations

IMPORTANCE

The US Choosing Wisely campaign has had substantial reach in mobilizing efforts to reduce low-value care, achieved largely by engaging physician specialty societies in stewardship. While some early recommendations were criticized for avoiding revenue-generating services, there is limited evidence of how the composition of recommendations shifted as more societies contributed.

OBJECTIVE

To analyze the characteristics and expected impact of Choosing Wisely recommendations.

DESIGN, SETTING, AND PARTICIPANTS

This qualitative study included content and trend analyses of all 626 Choosing Wisely recommendations by US physician societies as of March 1, 2021. Data were analyzed between March and May 2021.

MAIN OUTCOMES AND MEASURES

Primary outcomes were proportions of identified low-value services by characteristics (society type, service type, indication, do vs avoid, and clinical context) and expected impact (effect on the revenue of society members, cost, number of individuals at risk, direct harm potential, and cascade potential).

RESULTS

Low-value services identified in the 626 Choosing Wisely recommendations largely covered imaging (168 [26.8%]) and laboratory studies (156 [24.9%]) in the context of chronic conditions (169 [27.0%]) and healthy patients with risk factors alone (126 [20.1%]). Most of the identified low-value services were revenue neutral for the recommending society (402 [64.2%]) and the plurality were low cost (<$200; 284 [45.4%]); low-cost services represented a growing share of low-value services identified by Choosing Wisely recommendations (1.2 percentage points per year; P = .001). Nearly half (280 [44.7%]) of recommendations identified services with high direct harm potential, and 388 (62.0%) identified those with high potential for cascades (ie, triggering downstream services).

CONCLUSIONS AND RELEVANCE

The results of this qualitative study suggest that the Choosing Wisely recommendations identified services with a range of expected impacts. Stakeholders could explicitly set priorities for future recommendations, while clinical leaders and payers might target intervention efforts on recommendations with the greatest potential for impact based on spending across populations, direct harms, and cascades.

Does de-implementation of low-value care impact the patient-clinician relationship? A mixed methods study

Background

The importance of reducing low-value care (LVC) is increasingly recognized, but the impact of de-implementation on the patient-clinician relationship is not well understood. This mixed-methods study explored the impact of LVC de-implementation on the patient-clinician relationship.

Methods

Adult primary care patients from a large Virginia health system volunteered to participate in a survey (n = 232) or interview (n = 24). Participants completed the Patient-Doctor Relationship Questionnaire (PDRQ-9) after reading a vignette about a clinician declining to provide a low-value service: antibiotics for acute sinusitis (LVC-antibiotics); screening EKG (LVC-EKG); screening vitamin D test (LVC-vitamin D); or an alternate vignette about a high-value service, and imagining that their own primary care clinician had acted in the same manner. A different sample of participants was asked to imagine that their own primary care clinician did not order LVC-antibiotics or LVC-EKG and then respond to semi-structured interview questions. Outcomes data included participant demographics, PDRQ-9 scores (higher score = greater relationship integrity), and content analysis of transcribed interviews. Differences in PDRQ-9 scores were analyzed using one-way ANOVA. Data were integrated for analysis and interpretation.

Results

Although participants generally agreed with the vignette narrative (not providing LVC), many demonstrated difficulty comprehending the broad concept of LVC and potential harms. The topic triggered memories of negative experiences with healthcare (typically poor-quality care, not necessarily LVC). The most common recommendation for reducing LVC was for patients to take greater responsibility for their own health. Most participants believed that their relationship with their clinician would not be negatively impacted by denial of LVC because they trusted their clinician’s guidance. Participants emphasized that trusted clinicians are those who listen to them, spend time with them, and offer understandable advice. Some felt that not providing LVC would actually increase their trust in their clinician. Similar PDRQ-9 scores were observed for LVC-antibiotics (38.9), LVC-EKG (37.5), and the alternate vignette (36.4), but LVC-vitamin D was associated with a significantly lower score (31.2) (p < 0.05).

Conclusions

In this vignette-based study, we observed minimal impact of LVC de-implementation on the patient-clinician relationship, although service-specific differences surfaced. Further situation-based research is needed to confirm study findings.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07345-9.

Hospital-acquired complications: the relative importance of hospital- and patient-related factors

OBJECTIVE

To quantify the prevalence of hospital-acquired complications; to determine the relative influence of patient- and hospital-related factors on complication rates.

DESIGN, PARTICIPANTS

Retrospective analysis of administrative data (Integrated South Australian Activity Collection; Victorian Admitted Episodes Dataset) for multiple-day acute care episodes for adults in public hospitals.

SETTING

Thirty-eight major public hospitals in South Australia and Victoria, 2015-2018.

MAIN OUTCOME MEASURES

Hospital-acquired complication rates, overall and by complication class, by hospital and hospital type (tertiary referral, major metropolitan service, major regional service); variance in rates (intra-class correlation coefficient, ICC) at the patient, hospital, and hospital type levels as surrogate measures of their influence on rates.

RESULTS

Of 1 558 978 public hospital episodes (10 029 918 bed-days), 151 486 included a total of 214 286 hospital-acquired complications (9.72 [95% CI, 9.67-9.77] events per 100 episodes; 2.14 [95% CI, 2.13-2.15] events per 100 bed-days). Complication rates were highest in tertiary referral hospitals (12.7 [95% CI, 12.6-12.8] events per 100 episodes) and for episodes including intensive care components (37.1 [95% CI, 36.7-37.4] events per 100 episodes). For all complication classes, inter-hospital variation was determined more by patient factors (overall ICC, 0.55; 95% CI, 0.53-0.57) than by hospital factors (ICC, 0.04; 95% CI, 0.02-0.07) or hospital type (ICC, 0.01; 95% CI, 0.001-0.03).

CONCLUSIONS

Hospital-acquired complications were recorded for 9.7% of hospital episodes, but patient-related factors played a greater role in determining their prevalence than the treating hospital.

Development and Use of a Calculator to Measure Pediatric Low-Value Care Delivered in US Children's Hospitals

Importance

The scope of low-value care in children's hospitals is poorly understood.

Objective

To develop and apply a calculator of hospital-based pediatric low-value care to estimate prevalence and cost of low-value services.

Design, Setting, and Participants

This cross-sectional study developed and applied a calculator of hospital-based pediatric low-value care to estimate the prevalence and cost of low-value services among 1 011 950 encounters reported in 49 US children's hospitals contributing to the Pediatric Health Information System (PHIS) database. To develop the calculator, a multidisciplinary stakeholder group searched existing pediatric low-value care measures and used an iterative process to identify and operationalize relevant hospital-based measures in the PHIS database. Children with an eligible encounter in 2019 were included in the calculator-applied analysis. Two cohorts were analyzed: an emergency department cohort (with encounters resulting in emergency department discharge) and a hospitalized cohort.

Exposures

Eligible condition-specific hospital encounters.

Main Outcomes and Measures

The proportion and volume of encounters in which low-value services were delivered and their associated standardized costs. Measures were ranked by those outcomes.

Results

There were 1 011 950 encounters eligible for 1 or more of 30 calculator-included measures in 2019; encounters were incurred by 816 098 unique patients with a median age of 3 years (IQR, 1-8 years). In the emergency department cohort, low-value services delivered in the greatest percentage of encounters were Group A streptococcal testing among children younger than 3 years with pharyngitis (3679 of 9785 [37.6%]), computed tomography scan for minor head injury (7541 of 42 602 [17.7%]), and bronchodilators for treatment of bronchiolitis (8899 of 55 616 [16.0%]). In the hospitalized cohort, low-value care was most prevalent for broad-spectrum antibiotics in the treatment of community-acquired pneumonia (3406 of 5658 [60.2%]), acid suppression therapy for infants with esophageal reflux (3814 of 7507 of [50.8%]), and blood cultures for uncomplicated community-acquired pneumonia (2277 of 5823 [39.1%]). Measured low-value services generated nearly $17 million in total standardized cost. The costliest services in the emergency department cohort were computed tomography scan for abdominal pain (approximately $1.8 million) and minor head injury (approximately $1.5 million) and chest radiography for asthma (approximately $1.1 million). The costliest services in the hospitalized cohort were receipt of 2 or more concurrent antipsychotics (approximately $2.4 million), and chest radiography for bronchiolitis ($801 680) and asthma ($625 866).

Conclusions and Relevance

This cross-sectional analysis found that low-value care for some pediatric services was prevalent and costly. Measuring receipt of low-value services across conditions informs prioritization of deimplementation efforts. Continued use of this calculator may establish trends in low-value care delivery.

Avoidable Adverse Events Related to Ignoring the Do-Not-Do Recommendations: A Retrospective Cohort Study Conducted in the Spanish Primary Care Setting

OBJECTIVE

This study aimed to measure the frequency and severity of avoidable adverse events (AAEs) related to ignoring do-not-do recommendations (DNDs) in primary care.

METHODS

A retrospective cohort study analyzing the frequency and severity of AAEs related to ignoring DNDs (7 from family medicine and 3 from pediatrics) was conducted in Spain. Data were randomly extracted from computerized electronic medical records by a total of 20 general practitioners and 5 pediatricians acting as reviewers; data between February 2018 and September 2019 were analyzed.

RESULTS

A total of 2557 records of adult and pediatric patients were reviewed. There were 1859 (72.7%) of 2557 (95% confidence interval [CI], 71.0%-74.4%) DNDs actions in 1307 patients (1507 were performed by general practitioners and 352 by pediatricians). Do-not-do recommendations were ignored more often in female patients (P < 0.0001). Sixty-nine AAEs were linked to ignoring DNDs (69/1307 [5.3%]; 95% CI, 4.1%-6.5%). Of those, 54 (5.1%) of 1062 were in adult patients (95% CI, 3.8%-6.4%) and 15 (6.1%) of 245 in pediatric patients (95% CI, 3.1%-9.1%). In adult patients, the majority of AAEs (51/901 [5.7%]; 95% CI, 4.2%-7.2%) occurred in patients 65 years or older. Most AAEs were characterized by temporary minor harm both in adult patients (28/54 [51.9%]; 95% CI, 38.5%-65.2%) and pediatric patients (15/15 [100%]).

CONCLUSIONS

These findings provide a new perspective about the consequences of low-value practices for the patients and the health care systems. Ignoring DNDs could place patients at risk, and their safety might be unnecessarily compromised.

TRIAL REGISTRATION NUMBER

NCT03482232.

Clinical evaluation of the national hospital acquired complication program

OBJECTIVE

Health services are encouraged to evaluate data from the national hospital acquired complications (HAC) program and identify strategies to mitigate them.

DESIGN

Retrospective chart review compared with HAC extracted from administrative data.

SETTING

430-bed university-affiliated metropolitan hospital.

PARTICIPANTS

260 records with, and 462 without, reported HAC from 2,619 multi-day stay adults.

MAIN OUTCOME MEASURES

Prevalence and positive predictive value (PPV) of HAC methodology.

RESULTS

No errors of HAC coding or classification were identified. 423 HAC events were reported in 260 records; most commonly delirium (n =57, 13.4%), pneumonia (n =46, 10.9%), blood stream infection (n =39, 9.2%), hypoglycaemia (n =33, 7.8%) and cardiac arrhythmias (n =33, 7.8%). 108 (25.5%) "HAC" events in 69 separations (95%CI = 2.05 - 3.33 per 100 separations) were false positive, and 43 of 462 (95%CI = 6.72 - 12.22) per 100 separations false negative. Prevalence of total "HAC" was 16.06 (95%CI = 14.02 - 19.52); "reported HAC" 9.93 (95% CI = 8.76 - 11.21); "potentially preventable" HAC 1.68 (95%CI = 1.22 - 2.26); and healthcare errors 0.31 (95%CI = 0.13-1.30) per 100 separations. PPV of HAC for true clinical events was 0.74 (0.68 - 0.79); preventable events 0.18 (0.13 - 0.23); and healthcare error 0.03 (0.01-0.06).

CONCLUSIONS

Rate of HAC events was higher than expected, but positive predictive value for healthcare errors was low, suggesting provision of care is a less common cause of HAC events than patient factors. HAC may be an indicator of hospital admission complexity rather than hospital acquired complications. This article is protected by copyright. All rights reserved.

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

Question

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

Findings

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

Meaning

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

Importance

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

Objective

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

Design, Setting, and Participants

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

Main Outcomes and Measures

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

Results

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

Conclusions and Relevance

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

American Academy of Ophthalmology Recommendations on Screening for Endogenous Candida Endophthalmitis

The American Academy of Ophthalmology evaluated the practice of routine screening for intraocular infection from Candida septicemia. In the United States, ophthalmologists are consulted in the hospital to screen for intraocular infection routinely for patients with Candida bloodstream infections. This practice was established in the era before the use of systemic antifungal medication and the establishment of definitions of ocular disease with candidemia. A recent systematic review found a rate of less than 1% of routinely screened patients with endophthalmitis from Candida septicemia. Other studies found higher rates of endophthalmitis but had limitations in terms of inaccuracies in ocular disease classification, lack of vitreous biopsies, selection biases, and lack of longer-term visual outcomes. Some studies attributed ocular findings to Candida infections, rather than other comorbidities. Studies also have not demonstrated differences in medical management that are modified for eye disease treatment; therefore, therapy should be dictated by the underlying Candida infection, rather than be tailored on the basis of ocular findings. In summary, the Academy does not recommend a routine ophthalmologic consultation after laboratory findings of systemic Candida septicemia, which appears to be a low-value practice. An ophthalmologic consultation is a reasonable practice for a patient with signs or symptoms suggestive of ocular infection regardless of Candida septicemia.

Nonlinear association of nurse staffing and readmissions uncovered in machine learning analysis

OBJECTIVE

Several studies of nurse staffing and patient outcomes found a curvilinear or U-shaped relationship, with benefits from additional nurse staffing diminishing or reversing at high staffing levels. This study examined potential diminishing returns to nurse staffing and the existence of a "tipping point" or the level of staffing after which higher nurse staffing no longer improves and may worsen readmissions.

DATA SOURCES/STUDY SETTING

The Readiness Evaluation And Discharge Interventions (READI) study database of over 130,000 adult (18+) inpatient discharges from 62 medical, surgical, and medical-surgical (noncritical care) units from 31 United States (US) hospitals during October 2014-March 2017.

STUDY DESIGN

Observational cross-sectional study using a fully nonparametric random forest machine learning method. Primary exposure was nurse hours per patient day (HPPD) broken down by registered nurses (nonovertime and overtime) and nonlicensed nursing personnel. The outcome was 30-day all-cause same-hospital readmission. Partial dependence plots were used to visualize the pattern of predicted patient readmission risk along a range of unit staffing levels, holding all other patient characteristics and hospital and unit structural variables constant.

DATA COLLECTION/EXTRACTION METHODS

Secondary analysis of the READI data. Missing values were imputed using the missing forest algorithm in R.

PRINCIPAL FINDINGS

Partial dependence plots were U-shaped, showing the readmission risk first declining and then rising with additional nurse staffing. The tipping points were at 6.95 and 0.21 HPPD for registered nurse staffing (nonovertime and overtime, respectively) and 2.91 HPPD of nonlicensed nursing personnel.

CONCLUSIONS

The U-shaped association was consistent with diminishing returns to nurse staffing suggesting that incremental gains in readmission reduction from additional nurse staffing taper off and could reverse at high staffing levels. If confirmed in future causal analyses across multiple outcomes, accompanying investments in infrastructure and human resources may be needed to maximize nursing performance outcomes at higher levels of nurse staffing.

Postoperative Telehealth Visits Reduce Emergency Department Visits and 30-Day Readmissions in Elective Thoracic Surgery Patients

BACKGROUND

Preventing postoperative 30-day readmissions requires an investment in patient care. The use of postdischarge telehealth visits to prevent potential adverse events or hospital visits has been shown in previous studies.

PURPOSE

We aim to determine the impact of postoperative telehealth visits (PTV) on reducing emergency department visits (EDV) and readmissions within 30 days postdischarge (30DR).

METHODS

All elective thoracic surgery patients opted-in or opted-out of PTV. Postoperative telehealth visits assessed patients' overall health status and addressed patient concerns. Patients were also seen at their postoperative clinic follow-up. Emergency department visits and 30DR were recorded.

RESULTS

Three hundred fourty-one patients were included-295 and 46 patients opted-in and opted-out of PTV. Opting-out of PTV, being discharged with chest tubes or drains, and the inability to perform activities of daily living at their postoperative follow-up were associated with increased EDV (OR = 8.7, 5.3, 6.3; p ≤ .05) and 30DR (OR = 5.1, 6.3, 7.1; p ≤ .05).

CONCLUSION

Postoperative telehealth visits were able to reduce EDV and 30DR in our study, although further studies establishing the range of interventions that can be feasibly provided remotely should be performed to identify limitations of these PTV.

IMPLICATIONS

Telehealth could be used postoperatively to reduce EDV and 30DR, improving quality and cost-effectiveness of healthcare delivery to patients.

Web-Based Educational Intervention for Patients With Uninvestigated Dyspepsia Referred for Upper Gastrointestinal Tract Endoscopy: A Randomized Clinical Trial

IMPORTANCE

Diagnostic yield of upper gastrointestinal (GI) tract endoscopy for uninvestigated dyspepsia is low, and its clinical implications are limited. There is an unmet need for better strategies to reduce the volume of upper GI tract endoscopic procedures for dyspepsia.

OBJECTIVE

To study the effectiveness of a web-based educational intervention as a tool to reduce upper GI tract endoscopy in uninvestigated dyspepsia.

DESIGN, SETTING, AND PARTICIPANTS

This open-label, multicenter, randomized clinical trial enrolled participants between November 1, 2017, and March 31, 2019, with follow-up 52 weeks after randomization, at 4 teaching hospitals in the Netherlands. Participants included patients with uninvestigated dyspeptic symptoms who were referred for upper GI tract endoscopy by their general health care clinician without prior consultation of a gastroenterologist. A total of 119 patients, aged 18 to 69 years, were included. Patients were excluded if any of the following red flag symptoms were present: (indirect) signs of upper GI tract hemorrhage (hematemesis, melena, hematochezia, or anemia), unintentional weight loss of 5% or higher of normal body weight during a period of 6 to 12 months, persistent vomiting, dysphagia, or jaundice.

INTERVENTIONS

Patients were randomly assigned (1:1) to education (intervention) or upper GI tract endoscopy (control). Education consisted of a self-managed web-based educational intervention, containing information on gastric function, dyspepsia, and upper GI tract endoscopy.

MAIN OUTCOMES AND MEASURES

Difference in the proportion of upper GI tract endoscopy procedures between those who received access to the web-based educational intervention and those who did not at 12 weeks and 52 weeks after randomization, analyzed in the intention-to-treat population. Secondary outcomes included quality of life (Nepean Dyspepsia Index) and symptom severity (Patient Assessment of Gastrointestinal Disorders Symptom Severity Index) measured at baseline and 12 weeks.

RESULTS

Of 119 patients included (median age, 48 years [interquartile range, 37-56 years]; 48 men [40%]), 62 were randomized to web-based education (intervention) and 57 to upper GI tract endoscopy (control). Significantly fewer patients compared with controls underwent upper GI tract endoscopy after using the web-based educational intervention: 24 (39%) vs 47 (82%) (relative risk, 0.46; 95% CI, 0.33-0.64; P < .001). Symptom severity and quality of life improved equivalently in both groups. One additional patient in the intervention group required upper GI tract endoscopy during follow-up.

CONCLUSIONS AND RELEVANCE

Findings of this study indicate that web-based patient education is an effective tool to decrease the need for upper GI tract endoscopy in uninvestigated dyspepsia.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03205319.

Physicians' views and experiences of defensive medicine: An international review of empirical research

This study systematically maps empirical research on physicians' views and experiences of hedging-type defensive medicine, which involves providing services (eg, tests, referrals) to reduce perceived legal risks. Such practices drive over-treatment and low value healthcare. Data sources were empirical, English-language publications in health, legal and multi-disciplinary databases. The extraction framework covered: where and when the research was conducted; what methods of data collection were used; who the study participants were; and what were the study aims, main findings in relation to hedging-type defensive practices, and proposed solutions. 79 papers met inclusion criteria. Defensive medicine has mainly been studied in the United States and European countries using quantitative surveys. Surgery and obstetrics have been key fields of investigation. Hedging-type practices were commonly reported, including: ordering unnecessary tests, treatments and referrals; suggesting invasive procedures against professional judgment; ordering hospitalisation or delaying discharge; and excessive documentation in medical records. Defensive practice was often framed around the threat of negligence lawsuits, but studies recognised other legal risks, including patient complaints and regulatory investigations. Potential solutions to defensive medicine were identified at macro (law, policy), meso (organisation, profession) and micro (physician) levels. Areas for future research include qualitative studies to investigate the behavioural drivers of defensive medicine and intervention research to determine policies and practices that work to support clinicians in de-implementing defensive, low-value care.

Decreasing Admissions to the NICU: An Official Transition Bed for Neonates

BACKGROUND

Evidence supports the need to decrease healthcare costs. One approach may be minimizing use of low-value care by reducing the number of unnecessary neonatal intensive care unit (NICU) admissions through the use of official neonatal transition beds.

PURPOSE

To evaluate whether transition beds decrease unnecessary NICU admissions and estimate the cost savings of this practice change.

METHODS

This retrospective chart review examined the records of all neonates of 350/7 weeks' gestational age and greater with birth weights of 2000 g and more admitted to a neonatal transition bed from January 1, 2017, to December 31, 2017. Outcomes evaluated were number of neonates returned to their mothers and an estimate of dollars saved for a 1-year period.

RESULTS

A total of 194 neonates were admitted to transition beds, which resulted in 144 NICU admissions averted. Respiratory distress was the most common reason for admission to transition beds. There was a statistically significant difference in length of stay in transition beds between neonates admitted to the NICU and those returned to couplet care after admission to transition beds (135.92 minutes vs 159.27 minutes; P = .047). There was no difference in gestational age based on admission to NICU or returned to couplet care (37.9 weeks vs 38 weeks; P = .772). The estimated cost savings was $3000 per neonate returned to couplet care totaling $432,000 annually.

IMPLICATIONS FOR PRACTICE

The use of neonatal transition beds is a potential strategy to decrease unnecessary NICU admissions and reduce low value care.

IMPLICATIONS FOR RESEARCH

Research regarding potential benefits of transition beds including the effect on hospital resources and low-value care at other institutions is needed. Additional research regarding potential benefits to the family including parent satisfaction and the effect of transition beds on rates of breastfeeding and skin-to-skin care is important.

Sociocognitive approach to behaviour change for reducing low-value care

Social and cognitive factors that predispose to low-value care (LVC), and strategies for countering them, may be underarticulated in campaigns aimed at reducing LVC. A sociocognitive approach, in addition to traditional knowledge translation strategies, may augment understanding and changing clinician behaviour underpinning LVC.

Health care, overconsumption and uneconomic growth: A conceptual framework

Concerns have grown in recent decades that economic growth in many rich countries may, in fact, be uneconomic. Uneconomic growth occurs when expansion in economic activity causes environmental and social costs that are greater than the benefits of that additional activity. Health care has enjoyed a close historical relationship with economic growth, with health care spending consistently growing faster than GDP over the long term. This paper explores the possible relationship between health care and uneconomic growth. It summarises the rapidly growing evidence on the harms caused by poor quality health care and by the overuse of health care, and on the environmental harms caused by health care systems. Further, it develops a conceptual framework for considering the overconsumption of health care and the joint harms to human health and the natural environment that ensue. This framework illustrates how health-damaging overconsumption in the wider economy combines with unnecessary or low-quality health care to create a cycle of "failure demand" and defensive expenditure on health care services. Health care therefore provides important sectoral insights on the phenomenon of uneconomic growth. There are rich opportunities for interdisciplinary research to quantify the joint harms of overconsumption in health and health care, and to estimate the optimal scale of the health sector from novel perspectives that prioritise human and planetary health and well-being over GDP and profit.

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.

Engaging patients in de-implementation interventions to reduce low-value clinical care: a systematic review and meta-analysis

BACKGROUND

Many decisions regarding health resource utilization flow through the patient-clinician interaction. Thus, it represents a place where de-implementation interventions may have considerable effect on reducing the use of clinical interventions that lack efficacy, have risks that outweigh benefits, or are not cost-effective (i.e., low-value care). The objective of this systematic review with meta-analysis was to determine the effect of de-implementation interventions that engage patients within the patient-clinician interaction on use of low-value care.

METHODS

MEDLINE, EMBASE, and CINAHL were searched from inception to November 2019. Gray literature was searched using the CADTH tool. Studies were screened independently by two reviewers and were included if they (1) described an intervention that engaged patients in an initiative to reduce low-value care, (2) reported the use of low-value care with and without the intervention, and (3) were randomized clinical trials (RCTs) or quasi-experimental designs. Studies describing interventions solely focused on clinicians or published in a language other than English were excluded. Data was extracted independently in duplicate and pertained to the low-value clinical intervention of interest, components of the strategy for patient engagement, and study outcomes. Quality of included studies was assessed using the Cochrane Risk of Bias tool for RCTs and a modified Downs and Black checklist for quasi-experimental studies. Random effects meta-analysis (reported as risk ratio, RR) was used to examine the effect of de-implementation interventions on the use of low-value care.

RESULTS

From 6736 unique citations, 9 RCTs and 13 quasi-experimental studies were included in the systematic review. Studies mostly originated from the USA (n = 13, 59%), targeted treatments (n = 17, 77%), and took place in primary care (n = 10, 45%). The most common intervention was patient-oriented educational material (n = 18, 82%), followed by tools for shared decision-making (n = 5, 23%). Random effects meta-analysis demonstrated that de-implementation interventions that engage patients within the patient-clinician interaction led to a significant reduction in low-value care in both RCTs (RR 0.74; 95% CI 0.66-0.84) and quasi-experimental studies (RR 0.61; 95% CI 0.43-0.87). There was significant inter-study heterogeneity; however, intervention effects were consistent across subgroups defined by low-value practice and patient-engagement strategy.

CONCLUSIONS

De-implementation interventions that engage patients within the patient-clinician interaction through patient-targeted educational materials or shared decision-making tools are effective in decreasing the use of low-value care. Clinicians and policymakers should consider engaging patients within initiatives that seek to reduce low-value care.

REGISTRATION

Open Science Framework (https://osf.io/6fsxm).

Understanding the public's role in reducing low-value care: a scoping review

BACKGROUND

Low-value care initiatives are rapidly growing; however, it is not clear how members of the public should be involved. The objective of this scoping review was to systematically examine the literature describing public involvement in initatives to reduce low-value care.

METHODS

Evidence sources included MEDLINE, EMBASE, and CINAHL databases from inception to November 26, 2019, grey literature (CADTH Tool), reference lists of included articles, and expert consultation. Citations were screened in duplicate and included if they referred to the public's perception and/or involvement in reducing low-value care. Public included patients or citizens without any advanced healthcare knowledge. Low-value care included medical tests or treatments that lack efficacy, have risks that exceed benefit, or are not cost-effective. Extracted data pertained to study characteristics, low-value practice, clinical setting, and level of public involvement (i.e., patient-clinician interaction, research, or policy-making).

RESULTS

The 218 included citations were predominantly original research (n = 138, 63%), published since 2010 (n = 192, 88%), originating from North America (n = 146, 67%). Most citations focused on patient engagement within the patient-clinician interaction (n = 156, 72%), using tools that included shared decision-making (n = 66, 42%) and patient-targeted educational materials (n = 72, 46%), and reported both reductions in low-value care and improved patient perceptions regarding low-value care. Fewer citations examined public involvement in low-value care policy-making (n = 33, 15%). Among citations that examined perspectives regarding public involvement in initiatives to reduce low-value care (n = 10, 5%), there was consistent support for the utility of tools applied within the patient-clinician interaction and less consistent support for involvement in policy-making.

CONCLUSIONS

Efforts examining public involvement in low-value care concentrate within the patient-clinician interaction, wherein patient-oriented educational materials and shared decision-making tools have been commonly studied and are associated with reductions in low-value care. This contrasts with inclusion of the public in low-value care policy decisions wherein tools to promote engagement are less well-developed and involvement not consistently viewed as valuable.

TRIAL REGISTRATION

Open Science Framework (https://osf.io/6fsxm).