Physician selection for hospital integration: Theoretical considerations and empirical findings

BACKGROUND

The U.S. health care system has seen an increase in hospital-physician integration, with hospitals acquiring increasing numbers of physician practices. This shift has been linked to higher costs without significant improvements in quality.

PURPOSE

This study sought to identify the characteristics of physicians who transitioned from independent practice to hospital integration.

METHODOLOGY/APPROACH

We used physician variables, including quality scores, medical school rankings, years of experience, experience treating socially or medically complex patients, practice style, and location, as well as health care market and county-level variables to understand these determinants using a fixed-effects logistic regression model.

RESULTS

A total of 101,746 physicians representing 66 clinical specialties satisfied our inclusion criteria, of which 3,656 became hospital-integrated between 2018 and 2020. The integrating physicians were generally less experienced, had lower quality scores, and generated less revenue per Medicare patient. Their patients, on average, had higher comorbidity scores, were more likely to be dually eligible, and resided in counties with higher poverty rates.

CONCLUSION

Our findings indicate that the physicians most likely to become hospital integrated are those facing reimbursement pressures due to a complex case mix and the associated challenges of performing well on the quality metrics. We also found some support for the anticompetitive aspects of hospital-physician integration. Our results suggest that hospitals are integrating with a relatively less experienced physician workforce but one that is perhaps more capable of treating clinically and socioeconomically complex patients.

PRACTICE IMPLICATIONS

Hospitals interested in using physician integration strategically to improve care quality should put more emphasis on physician quality. Such an approach has the potential to increase efficiency without sacrificing quality of care.

Hospital-physician Integration and Value-based Payment: Early Results From MIPS

BACKGROUND

Hospital-physician integration is often justified as a driver of clinical quality improvement due to joint resources covering a broad spectrum of care. Value-based programs, such as the Medicare Merit-Based Incentive Payment System (MIPS), are intended to tie financial incentives to clinical quality, which may confer an advantage on such integrated practices.

OBJECTIVES

We assessed the relationship between hospital-physician integration and MIPS performance by comparing hospital-integrated practices and independent practices.

RESEARCH DESIGN

This was a cross-sectional study using data from the Quality Payment Program for the performance year 2020.

SUBJECTS

Physician practices with a valid MIPS composite score in performance year 2020.

MEASURES

Hospital integration was based on whether at least 75% of a practice's physicians either billed most of their services using hospital outpatient department codes or billed through a hospital tax identifier. The primary outcome was the MIPS quality category score, and the secondary outcomes were the specific quality measures reported by practice groups.

RESULTS

Of the 20 most frequently reported measures, 14 were common in both groups. No difference was observed in the quality category score between hospital-integrated practices and independent practices in either unadjusted comparisons or after adjusting for practice characteristics, including practice size, geography, specialty mix, and case mix. In the secondary outcome models for specific quality measures, hospital-integrated practices achieved higher scores on most overlap measures but not all.

CONCLUSIONS

The findings on quality category score suggest that hospital integration does not confer much advantage in the context of MIPS quality performance.

Hospitals' uneven recovery from the COVID-19 pandemic

Using hospital cost report data from the Centers for Medicare and Medicaid Services, we examined the changes in hospitals' operating margins and total margins between 2019 and 2021. We found that, as of 2021, hospitals' operating margins had not fully rebounded to 2019 levels, although they had recovered from the 2020 nadirs. Conversely, average total margins increased by 140% during this period across all US hospitals, with the most significant growth occurring among rural hospitals, publicly operated hospitals, and critical access hospitals. Rural hospitals exhibited the largest gains in total margins during this time, experiencing a 1600% increase from 2019 to 2021. Our findings indicate that government relief funding tied to the COVID-19 Public Health Emergency significantly bolstered the financial health of the average hospital and had an outsize effect on lifting total margins among smaller hospitals that entered the pandemic in the most financially vulnerable position.

Hospital-Physician Integration Is Associated With Greater Use Of Cardiac Catheterization And Angioplasty

In the US in recent years, hospital-physician integration has become a dominant form of consolidation in health care. This transition away from independent practice has raised questions about whether hospital-employed physicians may be more likely than independent physicians to refer patients to high-intensity, hospital-based services. We used Medicare claims data from the period 2013-20 to identify patients who received a new diagnosis of stable angina, a common cardiovascular condition that entails clinical discretion in treatment choice. Using linear probability models and an instrumental variables model, we found that patients whose care was managed by a hospital-integrated cardiologist were no more likely to receive stress tests (an office-based procedure) than those whose care was managed by an independent cardiologist. However, these patients were much more likely to receive high-intensity, hospital-based coronary interventions. These results suggest that hospital-physician integration is an important factor in the intensity of treatment received by patients with stable angina. Policy makers may see these findings as additional impetus for more aggressive antitrust enforcement of integrated arrangements between hospitals and physicians and for other regulatory or payment mechanisms that might deter hospitals from using such arrangements to promote high-intensity treatment unnecessarily.

Cost-related medication nonadherence among Medicare beneficiaries with cardiovascular disease risk factors: The role of comprehension of the Medicare programme and its prescription drug benefits

RATIONALE, AIMS, AND OBJECTIVES

This study aims to investigate how reported comprehension of the Medicare programme and its prescription drug benefits is associated with cost-related medication nonadherence (CRN) among Medicare beneficiaries with cardiovascular disease (CVD) risk factors.

METHODS

This cross-sectional study used the 2017 Medicare Current Beneficiary Survey Public Use File data and included Medicare beneficiaries aged ≥65 years who reported having at least one CVD risk factor (i.e., hypertension, hyperlipidemia, diabetes, smoking and obesity) (n = 2821). A survey-weighted logistic model was used to examine associations between perceived difficulty of understanding the Medicare programme and its prescription drug benefits and CRN, controlling for beneficiaries' demographic (e.g., age) and clinical characteristics (e.g, comorbidities). This study further analyzed five subgroups based on the type of CVD risk factors involved.

RESULTS

Among Medicare beneficiaries with CVD risk factors, 14.4% reported CRN. Medicare beneficiaries with CVD risk factors who reported difficulty understanding the overall Medicare programme and its prescription drug benefits were more likely to report CRN, compared to those who reported easy understanding of the overall Medicare programme (OR = 1.50; 95% CI = 1.11-2.04; p = 0.009) and its prescription drug benefits (OR = 2.01; 95% CI = 1.52-2.66; p < 0.001). Similar results were obtained for the subgroups with obesity, hypertension or hyperlipidemia.

CONCLUSIONS

Perceived difficulty of understanding the Medicare Programme and its prescription drug benefits is associated with CRN among Medicare beneficiaries with CVD risk factors, especially those with obesity, hypertension or hyperlipidemia. Monitoring and enhancing Medicare beneficiaries' overall understanding of the Medicare programme may reduce CRN.

Treatment Experiences for Patients Receiving Buprenorphine/Naloxone for Opioid Use Disorder: A Qualitative Study of Patients' Perceptions and Attitudes

Background: Although buprenorphine/naloxone has been demonstrated to be an effective treatment for patients with opioid use disorder (OUD), treatment retention has been a challenge. This study extends what is presently a limited literature regarding patients' experiences with this medication and the implications for treatment retention. Methods: The study was conducted as a qualitative investigation of patients in treatment for OUD at the time of the study. Forty-three patients (27 men, 15 women, mean age 34.7) were recruited from three clinical settings, a community health center, an academically-based treatment site, and an independent substance abuse treatment facility. Most patients had returned to use in the past after attempts to become abstinent. Results: Patients generally reported positive experiences with this medication noting it helped to reduce opioid cravings quickly. As important considerations for treatment retention, patients emphasized a firm commitment to achieving abstinence when beginning treatment and a prescriber who is informed about and attentive to their emotional state. Diverging attitudes did exist regarding treatment duration as some patients were accepting of long-term treatment while others desired a relatively brief option. Among patients who had returned to use, potentially important issues emerged pertaining to the absence of patient outreach for missed medication appointments and inadequate discharge planning following stays at rehabilitation facilities. Conclusions: While results regarding the importance of patient motivation and strong patient-prescriber relationships have been noted in previous studies, other findings regarding opportunities to improve patient outreach and coordination of care have received relatively less attention and warrant further consideration.

Long-term patient outcomes following buprenorphine/naloxone treatment for opioid use disorder: a retrospective analysis in a commercially insured population

Background: While buprenorphine/naloxone (buprenorphine) has been demonstrated to be an effective medication for treating opioid use disorder (OUD), an important question exists about how long patients should remain in treatment.Objective: To examine the relationship between treatment duration and patient outcomes for individuals with OUD who have been prescribed buprenorphine.Methods: We conducted a retrospective, longitudinal study using the Massachusetts All Payer Claims Database, 2013 to 2017. The study comprised over 2,500 patients, approximately one-third of whom were female, who had been prescribed buprenorphine for OUD. The outcomes were hospitalizations and emergency room (ER) visits at 36 months following treatment initiation and 12 months following treatment discontinuation. Patients were classified into four groups based on treatment duration and medication adherence: poor adherence, duration <12 months; good adherence, duration <6 months; good adherence, duration 6 to 12 months, and good adherence, duration >12 months. We conducted analyses at the patient level of the relationship between duration and outcomes.Results: Better outcomes were observed for patients whose duration was greater than 12 months. Patients in the other groups had higher odds of hospitalization at 36 months following treatment initiation: poor adherence (2.71), <6 months (1.53), and 6 to 12 months (1.42). They also had higher odds of ER visits: poor adherence (1.69), <6 months (1.51), and 6 to 12 months (1.30). Similar results were observed following treatment discontinuation.Conclusions: OUD treatment with buprenorphine should be continued for at least 12 months to reduce hospitalizations and ED visits.

Regional Economic Conditions and Preventable Hospitalization Among Older Patients With Diabetes

OBJECTIVE

The aim was to explore the relationship between changes in regional economic conditions and quality of care-preventable hospitalization or death among older patients with diabetes at Veterans Health Administration (VHA), safety-net system for veterans.

SUBJECTS

VHA patients aged 65 years and older with a diabetes diagnosis between July 2012 and June 2014, who had at least 1 primary care visit in the past year.

MEASURES

County-level and state-level public data were used to characterize regional health insurance coverage and affluence surrounding the VHA facilities. Each patient was associated with a VHA facility and its corresponding regional market variables, and followed up to 48 months or until they experienced diabetes-related Prevention Quality Indicators or death.

RESULTS

Discrete-time Cox proportional hazards models estimated that changes in regional market variables characterizing regional health insurance coverage and affluence were significant factors associated with preventable hospitalization or death. All regional market variables were combined into a demand index, where 1 SD decrease in the demand index was associated with a 2.0-point increase in predicted survival for an average patient at an average VHA facility. For comparison, a 1 SD increase in primary care capacity was associated with 4.7-point increase.

CONCLUSIONS

Downturns in regional economic conditions could increase demand for VHA care and raise the risk of diabetes-related preventable hospitalization or death among older VHA patients diagnosed with diabetes. Safety-net hospitals may be unfairly penalized for lower quality of care when experiencing higher demand for care because of an economic downturn.

A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective observational study

Background

Buprenorphine is a widely used treatment option for patients with opioid use disorder (OUD). Premature discontinuation from this treatment has many negative health and societal consequences.

Objective

To develop and evaluate a machine learning based two-stage clinical decision-making framework for predicting which patients will discontinue OUD treatment within less than a year. The proposed framework performs such prediction in two stages: (i) at the time of initiating the treatment, and (ii) after two/three months following treatment initiation.

Methods

For this retrospective observational analysis, we utilized Massachusetts All Payer Claims Data (MA APCD) from the year 2013 to 2015. Study sample included 5190 patients who were commercially insured, initiated buprenorphine treatment between January and December 2014, and did not have any buprenorphine prescription at least one year prior to the date of treatment initiation in 2014. Treatment discontinuation was defined as at least two consecutive months without a prescription for buprenorphine. Six machine learning models (i.e., logistic regression, decision tree, random forest, extreme-gradient boosting, support vector machine, and artificial neural network) were tested using a five-fold cross validation on the input data. The first-stage models used patients’ demographic information. The second-stage models included information on medication adherence during the early phase of treatment based on the proportion of days covered (PDC) measure.

Results

A substantial percentage of patients (48.7%) who started on buprenorphine discontinued the treatment within one year. The area under receiving operating characteristic curve (C-statistic) for the first stage models varied within a range of 0.55 to 0.59. The inclusion of knowledge regarding patients’ adherence at the early treatment phase in terms of two-months and three-months PDC resulted in a statistically significant increase in the models’ discriminative power (p-value < 0.001) based on the C-statistic. We also constructed interpretable decision classification rules using the decision tree model.

Conclusion

Machine learning models can predict which patients are most at-risk of premature treatment discontinuation with reasonable discriminative power. The proposed machine learning framework can be used as a tool to help inform a clinical decision support system following further validation. This can potentially help prescribers allocate limited healthcare resources optimally among different groups of patients based on their vulnerability to treatment discontinuation and design personalized support systems for improving patients’ long-term adherence to OUD treatment.

Hospital Employment Of Physicians In Massachusetts Is Associated With Inappropriate Diagnostic Imaging

The transition among many US physicians from independent practice to hospital employment has raised concerns about whether employed physicians will be more inclined to refer patients for hospital-based services that are unnecessary or inappropriate. Using claims data for 2009-16, we conducted a difference-in-differences analysis to investigate whether this form of hospital-physician integration is associated with inappropriate referrals for magnetic resonance imaging (MRI), a widely used mode of diagnostic imaging, for three common medical conditions: lower back pain, knee pain, and shoulder pain. Study findings indicate that the odds of a patient receiving an inappropriate MRI referral increased by more than 20 percent after a physician transitioned to hospital employment. Most patients who received an MRI referral by an employed physician obtained the procedure at the hospital where the referring physician was employed. These results point to hospital-physician integration as a potential driver of low-value care.

Medicaid Expansion and Not-For-Profit Hospitals' Financial Status: National and State-Level Estimates Using IRS and CMS Data, 2011-2016

Several studies have shown that Medicaid expansion has improved hospital financial performance. All of these studies have either used data from the Internal Revenue Service (IRS) or the Centers for Medicare and Medicaid Services (CMS), and none of them has examined the state-level impact of expansion on hospital finances. Using data for not-for-profit hospitals from both IRS and CMS for 2011-2016, we described the difference in costs related to uncompensated care and Medicaid shortfalls. We then estimated the impact of Medicaid expansion on hospitals' financial status nationally and by state. Nationally, the estimated net effect of expansion reduced not-for-profit hospital costs by 2 percentage points based on IRS data and 0.83 percentage points based on CMS data. Across expansion states, the estimated net effects varied widely with approximately a 10-fold difference for hospitals based on IRS data and a 2-fold difference based on CMS data. Future studies should further explore the differences across IRS and CMS data.

Patterns of patient discontinuation from buprenorphine/naloxone treatment for opioid use disorder: A study of a commercially insured population in Massachusetts

BACKGROUND

Research has shown buprenorphine/naloxone to be an effective medication for treating individuals with opioid use disorder. At the same time, treatment discontinuation rates are reportedly high though much of the extant evidence comes from studies of the Medicaid population.

OBJECTIVES

To examine the pattern and determinants of buprenorphine/naloxone treatment discontinuation in a population of commercially insured individuals.

RESEARCH DESIGN

We performed a retrospective observational analysis of Massachusetts All Payer Claims Data (MA APCD) covering years 2013 through 2017. We defined treatment discontinuation as a gap of 60 consecutive days without a prescription for buprenorphine/naloxone within a time frame of 24 months from the initiation of treatment. A mixed-effect Cox proportional hazard model examined the associated risk of discontinuing treatment with baseline predictors.

SUBJECTS

A total of 5134 individuals who were commercially insured during the study period.

MEASURES

Buprenorphine/naloxone treatment discontinuation.

RESULTS

Overall 75% of individuals had discontinued treatment within two years of initiating treatment, and median time to discontinuation was 300 days. Patients aged between 18 and 24 years (HR = 1.436, 95%, CI = 1.240-1.663) and receiving treatment from prescribers with high panel-size (HR = 1.278, 95% CI = 1.112-1.468) had higher risk of discontinuing treatment. On the contrary, patients receiving treatment from multiple prescribers had lower associated risk of treatment discontinuation.

CONCLUSIONS

A substantial percentage of patients discontinue treatment well before they can typically meet criteria for sustained remission. Further investigations should assess the clinical outcomes following premature discontinuation and identify strategies for retaining patients in treatment.

Differences in Uptake of Low-Dose CT Scan for Lung Cancer among White and Black Adult Smokers in the United States-2017

To study racial/ethnic differences in the utilization of low-dose computerized tomography (LDCT) scan for lung cancer among adult smokers. Cross-sectional data (n=2,640) of adults aged 55-74, were from the 2017 Behavioral Risk Factor Surveillance System, Lung Cancer Screening module. Weighted, multivariable logistic regression was conducted. Most, 70.9%, were White and 52.2% male. About 16.0 % reported receiving LDCT scan in the past 12 months, 12.0% of Blacks and 17.4% of Whites. More Whites (55.0%) had ≥30 pack-years smoking history than Blacks (20%). Blacks had lower odds, .52 (CI: 0.28-0.96) of receiving LDCT scan than Whites. The odds of receiving LDCT scan were higher for those who were male, who tried to quit smoking in the past year, and for those with more education, health insurance, high blood pressure, lung disease, or cancer history (other than skin or lung cancer). This study suggests racial differences in the use of LDCT scan.

Association between daily and non-daily cannabis use and depression among United States adult cancer survivors

BACKGROUND

Cancer survivors are vulnerable to Cannabis Use (CU) and at increased risk for depression. Yet, the relationship between CU and depression among cancer survivors is unknown.

PURPOSE

The purpose of this study was to estimate the prevalence of daily/non-daily CU, investigate the association between CU and depression and evaluate CU reasons and methods of administration among cancer survivors.

METHOD

Population-based, nationally representative sample of cancer survivors aged ≥18 (n = 10,799) from 2018 Behavioral Risk Factor Surveillance System Survey was used. Weighted descriptive statistics and multivariate logistic regression were conducted.

FINDINGS

Overall, 4.2% reported daily and 4.1% non-daily CU. Those who self-reported depression had higher prevalence of daily and non-daily CU than those not reporting depression. Daily CU was associated with 120% increased odds of depression (odds ratio = 2.2, 95% confidence interval [1.3, 3.7]) compared with none-users.

DISCUSSION

Efforts to improve open communications and evidence-informed discussions regarding benefits and risks of CU and reasons for using cannabis between clinicians and cancer survivors are imperative.

Evidence that collaborative action between local health departments and nonprofit hospitals helps foster healthy behaviors in communities: a multilevel study

BACKGROUND

The Patient Protection and Affordable Care Act of 2010 (ACA) encouraged nonprofit hospitals to collaborate with local public health experts in the conduct of community health needs assessments (CHNAs) for the larger goal of improving community health. Yet, little is known about whether collaborations between local health departments and hospitals may be beneficial to community health. In this study, we investigated whether individuals residing in communities with stronger collaboration between nonprofit hospitals and local public health departments (LHDs) reported healthier behaviors. We further explored whether social capital acts as a moderating factor of these relationships.

METHODS

We used multilevel cross-sectional models, controlling for both individual and community-level factors to explore LHD-hospital collaboration (measured in the National Association of County and City Health Officials (NACCHO) Forces of Change Survey), in relation to individual-level health behaviors in 56,826 adults living in 32 metropolitan and micropolitan statistical areas, captured through the 2015 Behavioral Risk Factor Surveillance System (BRFSS) SMART dataset. Nine health behaviors were examined including vigorous exercise, eating fruits and vegetables, smoking and binge drinking. Social capital, measured using an index developed by the Northeast Regional Center for Rural Development, was also explored as an effect modifier of these relationships.

RESULTS

Stronger collaboration between nonprofit hospitals and LHDs was associated with not smoking (odds ratio, OR 1.32, 95% CI 1.11 to 1.58), eating vegetables daily (OR 1.29; 95% CI 1.06 to 1.57), and vigorous exercise (OR 1.17; 95% CI 1.05 to 1.30). The presence of higher social capital also strengthened the relationships between LHD-hospital collaborations and wearing a seatbelt (p for interaction = 0.01) and general exercise (p for interaction = 0.03).

CONCLUSIONS

Stronger collaboration between nonprofit hospitals and LHDs was positively associated with healthier individual-level behaviors. Social capital may also play a moderating role in improving individual and population health.

Regional market factors and patient experience in primary care

OBJECTIVES

To evaluate the association between regional market factors and experience with patient-provider communication in primary care services of safety net hospitals.

STUDY DESIGN

A retrospective cohort study with 933,407 patient experience survey respondents from 128 Veterans Health Administration (VHA) hospitals between fiscal years 2013 and 2016.

METHODS

Patient responses on 5 patient-provider communication questions were used to evaluate quality of care. Six regional market factors were used to characterize veterans' health care insurance coverage and affluence. A logistic regression was used to examine changes in individual-level patient-provider communication experience when regional market factors increase or decrease the demand for VHA primary care services.

RESULTS

Our findings supported our hypothesis that changes in regional market factors shift patient demand for VHA care and affect patient-provider communication measured by patient experience surveys. The adjusted odds ratio (AOR) of positive patient-provider communication was associated with a regional increase (first to third quartile) of employer-sponsored insurance (AOR, 1.028; 95% CI, 1.001-1.055) and a decrease (third to first quartile) in the veterans' unemployment rate (AOR, 0.966; 95% CI, 0.944-0.990). Higher primary care capacity (first to third quartile) was also associated with positive patient-provider communication (AOR, 1.050; 95% CI, 1.018-1.082).

CONCLUSIONS

Findings from this study raise concerns that safety net hospitals could be unfairly penalized by value-based payment programs and Medicare Hospital Compare. Such policies and programs could improve resource allocation by accounting for regional market factors before acting on quality of care measures.

Effects of Physician Experience, Specialty Training, and Self-referral on Inappropriate Diagnostic Imaging

BACKGROUND

Although previous research has demonstrated high rates of inappropriate diagnostic imaging, the potential influence of several physician-level characteristics is not well established.

OBJECTIVE

To examine the influence of three types of physician characteristics on inappropriate imaging: experience, specialty training, and self-referral.

DESIGN

A retrospective analysis of over 70,000 MRI claims submitted for commercially insured individuals. Physician characteristics were identified through a combination of administrative records and primary data collection. Multi-level modeling was used to assess relationships between physician characteristics and inappropriate MRIs.

SETTING

Massachusetts PARTICIPANTS: Commercially insured individuals who received an MRI between 2010 and 2013 for one of three conditions: low back pain, knee pain, and shoulder pain.

MEASUREMENTS

Guidelines from the American College of Radiology were used to classify MRI referrals as appropriate/inappropriate. Experience was measured from the date of medical school graduation. Specialty training comprised three principal groups: general internal medicine, family medicine, and orthopedics. Two forms of self-referral were examined: (a) the same physician who ordered the procedure also performed it, and (b) the physicians who ordered and performed the procedure were members of the same group practice and the procedure was performed outside the hospital setting.

RESULTS

Approximately 23% of claims were classified as inappropriate. Physicians with 10 or less years of experience had significantly higher odds of ordering inappropriate MRIs. Primary care physicians were almost twice as likely to order an inappropriate MRI as orthopedists. Self-referral was not associated with higher rates of inappropriate MRIs.

LIMITATIONS

Classification of MRIs was conducted with claims data. Not all self-referred MRIs could be detected.

CONCLUSIONS

Inappropriate imaging continues to be a driver of wasteful health care spending. Both physician experience and specialty training were highly associated with inappropriate imaging.

Correction to: Effects of Physician Experience, Specialty Training, and Self-referral on Inappropriate Diagnostic Imaging

There were some errors in the variables in this paper.

Robust policy evaluation from large-scale observational studies

Under the current policy decision making paradigm we make or evaluate a policy decision by intervening different socio-economic parameters and analyzing the impact of those interventions. This process involves identifying the causal relation between interventions and outcomes. Matching method is one of the popular techniques to identify such causal relations. However, in one-to-one matching, when a treatment or control unit has multiple pair assignment options with similar match quality, different matching algorithms often assign different pairs. Since all the matching algorithms assign pairs without considering the outcomes, it is possible that with the same data and same hypothesis, different experimenters can reach different conclusions creating an uncertainty in policy decision making. This problem becomes more prominent in the case of large-scale observational studies as there are more pair assignment options. Recently, a robust approach has been proposed to tackle the uncertainty that uses an integer programming model to explore all possible assignments. Though the proposed integer programming model is very efficient in making robust causal inference, it is not scalable to big data observational studies. With the current approach, an observational study with 50,000 samples will generate hundreds of thousands binary variables. Solving such integer programming problem is computationally expensive and becomes even worse with the increase of sample size. In this work, we consider causal inference testing with binary outcomes and propose computationally efficient algorithms that are adaptable for large-scale observational studies. By leveraging the structure of the optimization model, we propose a robustness condition that further reduces the computational burden. We validate the efficiency of the proposed algorithms by testing the causal relation between the Medicare Hospital Readmission Reduction Program (HRRP) and non-index readmissions (i.e., readmission to a hospital that is different from the hospital that discharged the patient) from the State of California Patient Discharge Database from 2010 to 2014. Our result shows that HRRP has a causal relation with the increase in non-index readmissions. The proposed algorithms proved to be highly scalable in testing causal relations from large-scale observational studies.

Emergency department revisits for nontraumatic dental conditions in Massachusetts

BACKGROUND

Inadequate access to oral health care and palliative care provided in the emergency department (ED) creates a pattern of repeat nontraumatic dental condition (NTDC) ED visits. The authors examined NTDC ED revisits and assessed the determinants associated with these visits in Massachusetts.

METHODS

The authors examined NTDC ED revisits in Massachusetts during 2013 using the Massachusetts All-Payer Claims Database. The authors report patient characteristics of those who made a single NTDC ED visit and of those who made NTDC ED revisits within 30 days of the index NTDC ED visit. The authors used a multilevel logistic regression model to examine the determinants associated with NTDC ED repeat visits.

RESULTS

In 2013, 21.5% of NTDC ED visits were revisits. Men from 26 through 35 years of age who were enrolled in Medicaid and who did not make an outpatient dental office visit within 30 days of the index NTDC ED visit had increased odds of repeat visits.

CONCLUSIONS

The sizable proportion of NTDC ED repeat visits indicates that certain patients in Massachusetts experience consistent and systematic barriers in accessing appropriate and timely oral health care.

PRACTICAL IMPLICATIONS

Prioritizing young adults and Medicaid enrollees for ED diversion programs and setting up a formal referral process via connecting patients to dental offices and community health centers after an NTDC ED visit may reduce NTDC ED revisits and provide appropriate oral health care to these patients.

State-Level Community Benefit Regulation and Nonprofit Hospitals' Provision of Community Benefits

Do nonprofit hospitals provide enough community benefits to justify their tax exemptions? States have sought to enhance nonprofit hospitals' accountability and oversight through regulation, including requirements to report community benefits, conduct community health needs assessments, provide minimum levels of community benefits, and adhere to minimum income eligibility standards for charity care. However, little research has assessed these regulations' impact on community benefits. Using 2009-11 Internal Revenue Service data on community benefit spending for more than eighteen hundred hospitals and the Hilltop Institute's data on community benefit regulation, we investigated the relationship between these four types of regulation and the level and types of hospital-provided community benefits. Our multivariate regression analyses showed that only community health needs assessments were consistently associated with greater community benefit spending. The results for reporting and minimum spending requirements were mixed, while minimum income eligibility standards for charity care were unrelated to community benefit spending. State adoption of multiple types of regulation was consistently associated with higher levels of hospital-provided community benefits, possibly because regulatory intensity conveys a strong signal to the hospital community that more spending is expected. This study can inform efforts to design regulations that will encourage hospitals to provide community benefits consistent with policy makers' goals.

Gender Differences in Hospital CEO Compensation: A National Investigation of Not-for-Profit Hospitals

Gender pay equity is a desirable social value and an important strategy to fill every organizational stratum with gender-diverse talent to fulfill an organization's goals and mission. This study used national, large-sample data to examine gender difference in CEO compensation among not-for-profit hospitals. Results showed the average unadjusted annual compensation for female CEOs in 2009 was $425,085 compared with $581,121 for male CEOs. With few exceptions, the difference existed across all types of not-for-profit hospitals. After controlling for hospital- and area-level characteristics, female CEOs of not-for-profit hospitals earned 22.6% less than male CEOs of not-for-profit hospitals. This translates into an earnings differential of $132,652 associated with gender. Explanations and implications of the results are discussed.

The Magnitude of a Community's Health Needs and Nonprofit Hospitals' Progress in Meeting Those Needs: Are We Faced With a Paradox?

OBJECTIVES

Although most nonprofit hospitals are required to conduct periodic community health needs assessments (CHNAs), such assessments arguably are most critical for communities with substantial health needs. The objective of this study was to describe differences in progress in conducting CHNAs between hospitals located in communities with the greatest compared with the fewest health needs.

METHODS

We used data on CHNA activity from the 2013 tax filings of 1331 US hospitals combined with data on community health needs from the County Health Rankings. We used bivariate and multivariate analyses to examine differences in hospitals' progress in implementing comprehensive CHNAs using 4 activities: (1) strategies to address identified needs, (2) participation in developing community-wide plans, (3) including CHNA into a hospital's operational plan, and (4) developing a budget to address identified needs. We compared progress in communities with the greatest and the fewest health needs using a comprehensive indicator comprising a community's socioeconomic factors, health behaviors, access to medical care, and physical environment.

RESULTS

In 2013, nonprofit hospitals serving communities with the greatest health needs conducted an average of 2.5 of the 4 CHNA activities, whereas hospitals serving communities with the fewest health needs conducted an average of 2.7 activities. Multivariate analysis, however, showed a negative but not significant relationship between the magnitude of a community's health needs and a hospital's progress in implementing comprehensive CHNAs.

CONCLUSIONS

Hospitals serving communities with the greatest health needs face high demand for free and reduced-cost care, which may limit their ability to invest more of their community benefit dollars in initiatives aimed at improving the health of the community.

Nurse Staffing Patterns and Patient Experience of Care: An Empirical Analysis of U.S. Hospitals

OBJECTIVE

To examine the relationship between nurse staffing patterns and patients' experience of care in hospitals with a particular focus on staffing flexibility.

DATA SOURCES/STUDY SETTING

The study sample comprised U.S. general hospitals between 2010 and 2012. Nurse staffing data came from the American Hospital Association Annual Survey, and patient experience data came from the Medicare Hospital Consumer Assessment of Healthcare Providers and Systems.

STUDY DESIGN

An observational research design was used entailing a pooled, cross-sectional data set. Regression models were estimated using generalized estimating equation (GEE) and hospital fixed effects. Nurse staffing patterns were assessed based on both levels (i.e., ratio of full-time equivalent nurses per 1,000 patient days) and composition (i.e., skill mix-percentage of registered nurses; staffing flexibility-percentage of part-time nurses).

PRINCIPAL FINDINGS

All three staffing variables were significantly associated with patient experience in the GEE analysis, but only staffing flexibility was significant in the fixed-effects analysis. A higher percentage of part-time nurses was positively associated with patient experience. Multiplicative and nonlinear effects for the staffing variables were also observed.

CONCLUSIONS

Among three staffing variables, flexibility was found to be the most important relative to patient experience. Unobserved hospital characteristics appear to underlie patient experience as well as certain nurse staffing patterns.

Tax-Exempt Hospitals' Investments in Community Health and Local Public Health Spending: Patterns and Relationships

OBJECTIVES

To investigate whether tax-exempt hospitals' investments in community health are associated with patterns of governmental public health spending focusing specifically on the relationship between hospitals' community benefit expenditures and the spending patterns of local health departments (LHDs).

STUDY DESIGN

We combined data on tax-exempt hospitals' community benefit spending with data on spending by the corresponding LHD that served the county in which a hospital was located. Data were available for 2 years, 2009 and 2013. Generalized linear regressions were estimated with indicators of hospital community benefit spending as the dependent variable and LHD spending as the key independent variable.

PRINCIPAL FINDINGS

Hospital community benefit spending was unrelated to how much local public health agencies spent, per capita, on public health in their communities.

CONCLUSIONS

Patterns of local public health spending do not appear to impact the investments of tax-exempt hospitals in community health activities. Opportunities may, however, exist for a more active engagement between the public and private sector to ensure that the expenditures of all stakeholders involved in community health improvement efforts complement one another.

A qualitative study of patient and provider experiences during preoperative care transitions

AIMS AND OBJECTIVES

To explore the issues and challenges of care transitions in the preoperative environment.

BACKGROUND

Ineffective transitions play a role in a majority of serious medical errors. There is a paucity of research related to the preoperative arena and the multiple inherent transitions in care that occur there.

DESIGN

Qualitative descriptive design was used.

METHODS

Semistructured interviews were conducted in a 975-bed academic medical centre.

RESULTS

A total of 30 providers and 10 preoperative patients participated. Themes that arose were as follows: (1) need for clarity of purpose of preoperative care, (2) care coordination, (3) interprofessional boundaries of care and (4) inadequate time and resources.

CONCLUSION

Effective transitions in the preoperative environment require that providers bridge scope of practice barriers to promote good teamwork. Preoperative care that is a product of well-informed providers and patients can improve the entire perioperative care process and potentially influence postoperative patient outcomes.

RELEVANCE TO CLINICAL PRACTICE

Nurses are well positioned to bridge the gaps within transitions of care and accordingly affect health outcomes.

The Progress of US Hospitals in Addressing Community Health Needs

OBJECTIVES

To identify how US tax-exempt hospitals are progressing in regard to community health needs assessment (CHNA) implementation following the Patient Protection and Affordable Care Act.

METHODS

We analyzed data on more than 1500 tax-exempt hospitals in 2013 to assess patterns in CHNA implementation and to determine whether a hospital's institutional and community characteristics are associated with greater progress.

RESULTS

Our findings show wide variation among hospitals in CHNA implementation. Hospitals operating as part of a health system as well as hospitals participating in a Medicare accountable care organization showed greater progress in CHNA implementation whereas hospitals serving a greater proportion of uninsured showed less progress. We also found that hospitals reporting the highest level of CHNA implementation progress spent more on community health improvement.

CONCLUSIONS

Hospitals widely embraced the regulations to perform a CHNA. Less is known about how hospitals are moving forward to improve population health through the implementation of programs to meet identified community needs.

Incentive Implementation in Physician Practices: A Qualitative Study of Practice Executive Perspectives on Pay for Performance

Pay-for-performance (P4P) programs offer health care providers financial incentives to achieve predefined quality targets. Practice executives sit at a key nexus point for determining how P4P programs are implemented in physician practices. Using a qualitative interview design, this article examines the role practice executives play in the implementation of P4P programs and how their perspectives and decisions can influence the success of these programs. The authors identified five key findings related to practice executives’ views on P4P: quality incentives are better than utilization incentives, quality incentives are bonus rewards, quality incentives are agents for change, providers do not feel they have control over attaining quality targets, and the ways in which quality is measured are problematic. The authors discuss five different ways in which practice executives distribute rewards to physicians. These findings may help payers more effectively design and implement financial rewards for quality.

Conceptual Issues in the Design and Implementation of Pay-for-Quality Programs

This article identifies and discusses key conceptual issues in designing and implementing pay-for-quality programs. Such programs offer financial incentives to providers for achieving predefined quality targets. The purpose of the article is to provide health care professionals with a framework for designing, implementing, and evaluating pay-for-quality programs. Examples are drawn from the Rewarding Results demonstration project for which the authors serve as the national evaluation team.

Physician Attitudes toward Pay-for-Quality Programs

Pay-for-quality (P4Q) initiatives are becoming an increasingly popular mechanism for improving quality performance and reducing health care costs in the United States. Because these programs often target primary care physicians, it is important to understand how these physicians perceive and respond to P4Q to design successful programs going forward. This study reports results of a survey regarding attitudes toward P4Q among physicians participating in such programs in Massachusetts and California. Findings indicate physicians have generally positive attitudes toward the concept of P4Q, but are ambivalent about certain features of these programs as currently designed and implemented.

Medication adherence communications in community pharmacies: A naturalistic investigation

OBJECTIVE

To describe the extent of pharmacy detection and monitoring of medication non-adherence, and solutions offered to improve adherence.

METHODS

Participants were 60 residents of the Boston area who had a generic chronic medication with 30 day supplies from their usual pharmacy. Participants received a duplicate prescription which they filled at a different pharmacy. For 5 months, participants alternated between the two pharmacies, creating gaps in their refill records at both pharmacies but no gaps in their medication adherence. Participants followed a scripted protocol and after each pharmacy visit reported their own and the pharmacy staff's behavior.

RESULTS

Across 78 unique community pharmacies and 260 pharmacy visits, pharmacies were inconsistent and inadequate in asking if participants had questions, discussing the importance of adherence, providing adequate consultations with new medication, and detecting and intervening on non-adherence. Insurers rarely contacted the participants about adherence concerns.

CONCLUSION

There is a need for more structured intervention systems to ensure pharmacists are consistently and adequately educating patients and detecting/managing potential medication non-adherence.

PRACTICE IMPLICATIONS

The present study calls for more attention to building infrastructure in pharmacy practice that helps pharmacists more consistently identify, monitor, and intervene on medication adherence.

Tax-exempt hospitals and community benefit: new directions in policy and practice

The current community benefit standard for nonprofit hospital tax exemption has been the subject of mounting criticism. Many different constituencies have advanced the view that in its present form it fails to ensure that nonprofit hospitals provide adequate benefits to their communities in exchange for their tax exemption. In contrast, hospitals have often expressed the concern that the community benefit standard in its current form is vague and therefore difficult to comply with. Various suggestions have been made regarding how the existing community benefit standard could be improved or even replaced. In this article, we first discuss the historical and legal development of the community benefit standard. We then present the key controversies that have emerged in recent years and the policy responses attempted thus far. Finally, we evaluate possible future policy directions, which reform efforts could follow.

Urodynamics for Prostate Surgery Trial; Randomised Evaluation of Assessment Methods (UPSTREAM) for diagnosis and management of bladder outlet obstruction in men: study protocol for a randomised controlled trial

Background

Lower urinary tract symptoms (LUTS) comprise storage symptoms, voiding symptoms and post-voiding symptoms. Prevalence and severity of LUTS increase with age and the progressive increase in the aged population group has emphasised the importance to our society of appropriate and effective management of male LUTS. Identification of causal mechanisms is needed to optimise treatment and uroflowmetry is the simplest non-invasive test of voiding function. Invasive urodynamics can evaluate storage function and voiding function; however, there is currently insufficient evidence to support urodynamics becoming part of routine practice in the clinical evaluation of male LUTS.

Design

A 2-arm trial, set in urology departments of at least 26 National Health Service (NHS) hospitals in the United Kingdom (UK), randomising men with bothersome LUTS for whom surgeons would consider offering surgery, between a care pathway based on urodynamic tests with invasive multichannel cystometry and a care pathway based on non-invasive routine tests. The aim of the trial is to determine whether a care pathway not including invasive urodynamics is no worse for men in terms of symptom outcome than one in which it is included, at 18 months after randomisation. This primary clinical outcome will be measured with the International Prostate Symptom Score (IPSS). We will also establish whether inclusion of invasive urodynamics reduces rates of bladder outlet surgery as a main secondary outcome.

Discussion

The general population has an increased life-expectancy and, as men get older, their prostates enlarge and potentially cause benign prostatic obstruction (BPO) which often requires surgery. Furthermore, voiding symptoms become increasingly prevalent, some of which may not be due to BPO. Therefore, as the population ages, more operations will be considered to relieve BPO, some of which may not actually be appropriate. Hence, there is sustained interest in the diagnostic pathway and this trial could improve the chances of an accurate diagnosis and reduce overall numbers of surgical interventions for BPO in the NHS. The morbidity, and therapy costs, of testing must be weighed against the cost saving of surgery reduction.

Trial registration

Controlled-trials.com - ISRCTN56164274 (confirmed registration: 8 April 2014).

Electronic supplementary material

The online version of this article (doi:10.1186/s13063-015-1087-1) contains supplementary material, which is available to authorized users.

Analysis of hospital community benefit expenditures' alignment with community health needs: evidence from a national investigation of tax-exempt hospitals

OBJECTIVES

We investigated whether federally tax-exempt hospitals consider community health needs when deciding how much and what types of community benefits to provide.

METHODS

Using 2009 data from hospital tax filings to the Internal Revenue Service and the 2010 County Health Rankings, we employed both univariate and multivariate analyses to examine the relationship between community health needs and the types and levels of hospitals' community benefit expenditures. The study sample included 1522 private, tax-exempt hospitals throughout the United States.

RESULTS

We found some patterns between community health needs and hospitals' expenditures on community benefits. Hospitals located in communities with greater health needs spent more as a percentage of their operating budgets on benefits directly related to patient care. By contrast, spending on community health improvement initiatives was unrelated to community health needs.

CONCLUSIONS

Important opportunities exist for tax-exempt hospitals to improve the alignment between their community benefit activities and the health needs of the community they serve. The Affordable Care Act requirement that hospitals conduct periodic community health needs assessments may be a first step in this direction.

Sustainability of quality improvement following removal of pay-for-performance incentives

BACKGROUND

Although pay-for-performance (P4P) has become a central strategy for improving quality in US healthcare, questions persist about the effectiveness of these programs. A key question is whether quality improvement that occurs as a result of P4P programs is sustainable, particularly if incentives are removed.

OBJECTIVE

To investigate sustainability of performance levels following removal of performance-based incentives.

DESIGN, SETTING, AND PARTICIPANTS

Observational cohort study that capitalized on a P4P program within the Veterans Health Administration (VA) that included adoption and subsequent removal of performance-based incentives for selected inpatient quality measures. The study sample comprised 128 acute care VA hospitals where performance was assessed between 2004 and 2010.

INTERVENTION

VA system managers set annual performance goals in consultation with clinical leaders, and report performance scores to medical centers on a quarterly basis. These scores inform performance-based incentives for facilities and their managers. Bonuses are distributed based on the attainment of these performance goals.

MEASUREMENTS

Seven quality of care measures for acute coronary syndrome, heart failure, and pneumonia linked to performance-based incentives.

RESULTS

Significant improvements in performance were observed for six of seven quality of care measures following adoption of performance-based incentives and were maintained up to the removal of the incentive; subsequently, the observed performance levels were sustained.

LIMITATIONS

This is a quasi-experimental study without a comparison group; causal conclusions are limited.

CONCLUSION

The maintenance of performance levels after removal of a performance-based incentive has implications for the implementation of Medicare's value-based purchasing initiative and other P4P programs. Additional research is needed to better understand human and system-level factors that mediate sustainability of performance-based incentives.

Antipsychotic prescribing pathways, polypharmacy, and clozapine use in treatment of schizophrenia

OBJECTIVE

To ensure optimal care for patients with schizophrenia, antipsychotic medications must be appropriately prescribed and used. Therefore, the primary objectives of this study were to identify and describe pathways for antipsychotic prescribing, assess the consistency of observed pathways with treatment guidelines, and describe variability across facilities.

METHODS

Data from Veterans Affairs administrative data sets from fiscal year (FY) 2003 to FY 2007 were gathered for analysis in this retrospective cohort study of antipsychotic prescribing pathways among 13 facilities across two regional networks. Patients with a new episode of care for schizophrenia or schizoaffective disorder in FY 2005 were identified, and antipsychotic prescribing history was obtained for two years before and after the index diagnosis. Demographic characteristics and distribution of comorbidities were assessed. Median medical center rates of polypharmacy were calculated and compared with Fisher's exact test.

RESULTS

Of 1,923 patients with a new episode of schizophrenia care, 1,003 (52%) had complete data on prescribing pathways. A majority (74%) of patients were prescribed antipsychotic monotherapy, and 19% received antipsychotic polypharmacy. Of patients receiving antipsychotic polypharmacy, 65% began polypharmacy within 90 days of starting any antipsychotic treatment. There was a fourfold difference in polypharmacy across facilities. Antipsychotic polypharmacy was not associated with geographic location or medical center patient volume. Clozapine utilization was low (0%-2%).

CONCLUSIONS

Retrospective examination of longitudinal prescribing patterns identified multiple antipsychotic prescribing pathways. Although most patients received guideline-concordant care, antipsychotic polypharmacy was commonly used as initial treatment, and there was substantial variability among facilities. Study findings suggest the utility of secondary data to assess treatment adaptation or switching for practical clinical trials.

Provision of community benefits by tax-exempt U.S. hospitals

BACKGROUND

The Patient Protection and Affordable Care Act (ACA) requires tax-exempt hospitals to conduct assessments of community needs and address identified needs. Most tax-exempt hospitals will need to meet this requirement by the end of 2013.

METHODS

We conducted a national study of the level and pattern of community benefits that tax-exempt hospitals provide. The study comprised more than 1800 tax-exempt hospitals, approximately two thirds of all such institutions. We used reports that hospitals filed with the Internal Revenue Service for fiscal year 2009 that provide expenditures for seven types of community benefits. We combined these reports with other data to examine whether institutional, community, and market characteristics are associated with the provision of community benefits by hospitals.

RESULTS

Tax-exempt hospitals spent 7.5% of their operating expenses on community benefits during fiscal year 2009. More than 85% of these expenditures were devoted to charity care and other patient care services. Of the remaining community-benefit expenditures, approximately 5% were devoted to community health improvements that hospitals undertook directly. The rest went to education in health professions, research, and contributions to community groups. The level of benefits provided varied widely among the hospitals (hospitals in the top decile devoted approximately 20% of operating expenses to community benefits; hospitals in the bottom decile devoted approximately 1%). This variation was not accounted for by indicators of community need.

CONCLUSIONS

In 2009, tax-exempt hospitals varied markedly in the level of community benefits provided, with most of their benefit-related expenditures allocated to patient care services. Little was spent on community health improvement.