The Volume and Cost of Quality Metric Reporting.

Importance: US hospitals report data on many health care quality metrics to government and independent health care rating organizations, but the annual cost to acute care hospitals of measuring and reporting quality metric data, independent of resources spent on quality interventions, is not well known. Objective: To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Design, Setting, and Participants: Retrospective time-driven activity-based costing study at the Johns Hopkins Hospital (Baltimore, Maryland) with hospital personnel involved in quality metric reporting processes interviewed between January 1, 2019, and June 30, 2019, about quality reporting activities in the 2018 calendar year. Main Outcomes and Measures: Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. Results: A total of 162 unique metrics were identified, of which 96 (59.3%) were claims-based, 107 (66.0%) were outcome metrics, and 101 (62.3%) were related to patient safety. Preparing and reporting data for these metrics required an estimated 108 478 person-hours, with an estimated personnel cost of $5 038 218.28 (2022 USD) plus an additional $602 730.66 in vendor fees. Claims-based (96 metrics; $37 553.58 per metric per year) and chart-abstracted (26 metrics; $33 871.30 per metric per year) metrics used the most resources per metric, while electronic metrics consumed far less (4 metrics; $1901.58 per metric per year). Conclusions and Relevance: Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types. Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality.

Brief Report: Hospitalization Rates Among Persons With HIV Who Gained Medicaid or Private Insurance After the Affordable Care Act in 2014.

BACKGROUND: It is unknown whether gaining inpatient health care coverage had an effect on hospitalization rates among persons with HIV (PWH) after implementation of the Affordable Care Act in 2014. METHODS: Hospitalization data from 2015 were obtained for 1634 adults receiving longitudinal HIV care at 3 US HIV clinics within the HIV Research Network. All patients were engaged in care and previously uninsured and supported by the Ryan White HIV/AIDS Program in 2013. We evaluated whether PWH who transitioned to either Medicaid or private insurance in 2014 tended to have a change in hospitalization rate compared with PWH who remained uncovered and Ryan White HIV/AIDS Program supported. Analyses were performed by negative binomial regression with robust standard errors, adjusting for gender, race/ethnicity, age, HIV risk factor, CD4 count, viral load, clinic site, and 2013 hospitalization rate. RESULTS: Among PWH without inpatient health care coverage in 2013, transitioning to Medicaid [adjusted incidence rate ratio 1.26, (0.71, 2.23)] or to private insurance [0.48 (0.18, 1.28)] in 2014 was not associated with 2015 hospitalization rates, after accounting for demographics, HIV characteristics, and prior hospitalization rates. The factors significantly associated with higher hospitalization rates include age 55-64, CD4 <200 cells/µL, viral load >400 copies/mL, and 2013 hospitalization rate. CONCLUSIONS: Acquiring inpatient coverage was not associated with a change in hospitalization rates. These results provide some evidence to allay the concern that acquiring inpatient coverage would lead to increased inpatient utilization.

Human Immunodeficiency Virus (HIV) Viral Suppression After Transition From Having No Healthcare Coverage and Relying on Ryan White HIV/AIDS Program Support to Medicaid or Private Health Insurance.

Among 1942 persons with human immunodeficiency virus (HIV) without healthcare coverage in 2012-2015, transitioning to Medicaid (adjusted prevalence ratio, 0.95 [0.87, 1.04]) or to private health insurance (1.04 [0.95, 1.13]) was not associated with a change in consistent HIV viral suppression compared to continued reliance on the Ryan White HIV/AIDS Program.

A Model for the Departmental Quality Management Infrastructure Within an Academic Health System.

As quality improvement and patient safety come to play a larger role in health care, academic medical centers and health systems are poised to take a leadership role in addressing these issues. Academic medical centers can leverage their large integrated footprint and have the ability to innovate in this field. However, a robust quality management infrastructure is needed to support these efforts. In this context, quality and safety are often described at the executive level and at the unit level. Yet, the role of individual departments, which are often the dominant functional unit within a hospital, in realizing health system quality and safety goals has not been addressed. Developing a departmental quality management infrastructure is challenging because departments are diverse in composition, size, resources, and needs.In this article, the authors describe the model of departmental quality management infrastructure that has been implemented at the Johns Hopkins Hospital. This model leverages the fractal approach, linking departments horizontally to support peer and organizational learning and connecting departments vertically to support accountability to the hospital, health system, and board of trustees. This model also provides both structure and flexibility to meet individual departmental needs, recognizing that independence and interdependence are needed for large academic medical centers. The authors describe the structure, function, and support system for this model as well as the practical and essential steps for its implementation. They also provide examples of its early success.

Closing the Gap in Antiretroviral Initiation and Viral Suppression: Time Trends and Racial Disparities.

BACKGROUND: In the current antiretroviral (ART) era, the evolution of HIV guidelines and emergence of new ART agents might be expected to impact the times to ART initiation and HIV virologic suppression. We sought to determine if times to AI and virologic suppression decreased and if disparities exist by age, race/ethnicity, and HIV risk. METHODS: We performed a retrospective cohort study of data from 12 sites of the HIV Research Network, a consortium of US clinics caring for HIV-infected patients. HIV-infected adults (≥18 year old) newly presenting for care between 2003 and 2013 were included in this study. Times to AI and virologic suppression were defined as time from enrollment to AI and HIV RNA <400 copies per milliliter, respectively. We conducted time-to-event analyses using competing risk regression in the HIV Research Network cohort from 2003 to 2012 in 2-year intervals, with follow-up through 2013. RESULTS: Among 15,272 participants, 76.9% were male, 48.4% black, and 10.9% were injection drug use with median age of 38 years (interquartile range: 29-46 years). The adjusted subdistribution hazards ratios (SHRs) for AI and virologic suppression each increased for years 2007-2008 [SHR 1.23 (1.16-1.30), and SHR 1.25 (1.17-1.34), respectively], 2009-2010 [1.55 (1.46-1.64), and 1.54 (1.43-1.65), respectively], and 2011-2012 [1.94 (1.83-2.07), and 1.73 (1.61-1.86), respectively] compared with 2003-2004. Blacks had a lower probability of AI than whites and Hispanics. CONCLUSIONS: Since 2007, times from enrollment to AI and virologic suppression have decreased significantly compared with 2003-2004, but persisting disparities should be addressed.

Healthcare Coverage for HIV Provider Visits Before and After Implementation of the Affordable Care Act.

BACKGROUND: Before implementation of the Patient Protection and Affordable Care Act (ACA) in 2014, 100 000 persons living with human immunodeficiency virus (HIV) (PLWH) lacked healthcare coverage and relied on a safety net of Ryan White HIV/AIDS Program support, local charities, or uncompensated care (RWHAP/Uncomp) to cover visits to HIV providers. We compared HIV provider coverage before (2011-2013) versus after (first half of 2014) ACA implementation among a total of 28 374 PLWH followed up in 4 sites in Medicaid expansion states (California, Oregon, and Maryland), 4 in a state (New York) that expanded Medicaid in 2001, and 2 in nonexpansion states (Texas and Florida). METHODS: Multivariate multinomial logistic models were used to assess changes in RWHAP/Uncomp, Medicaid, and private insurance coverage, using Medicare as a referent. RESULTS: In expansion state sites, RWHAP/Uncomp coverage decreased (unadjusted, 28% before and 13% after ACA; adjusted relative risk ratio [ARRR], 0.44; 95% confidence interval [CI], .40-.48). Medicaid coverage increased (23% and 38%; ARRR, 1.82; 95% CI, 1.70-1.94), and private coverage was unchanged (21% and 19%; 0.96; .89-1.03). In New York sites, both RWHAP/Uncomp (20% and 19%) and Medicaid (50% and 50%) coverage were unchanged, while private coverage decreased (13% and 12%; ARRR, 0.86; 95% CI, .80-.92). In nonexpansion state sites, RWHAP/Uncomp (57% and 52%) and Medicaid (18% and 18%) coverage were unchanged, while private coverage increased (4% and 7%; ARRR, 1.79; 95% CI, 1.62-1.99). CONCLUSIONS: In expansion state sites, half of PLWH relying on RWHAP/Uncomp coverage shifted to Medicaid, while in New York and nonexpansion state sites, reliance on RWHAP/Uncomp remained constant. In the first half of 2014, the ACA did not eliminate the need for RWHAP safety net provider visit coverage.

The Epidemiologic and Economic Impact of Improving HIV Testing, Linkage, and Retention in Care in the United States.

BACKGROUND: Recent guidelines advocate early antiretroviral therapy (ART) to decrease human immunodeficiency virus (HIV) morbidity and prevent transmission, but suboptimal engagement in care may compromise impact. We sought to determine the economic and epidemiologic impact of incomplete engagement in HIV care in the United States. METHODS: We constructed a dynamic transmission model of HIV among US adults (aged 15-65 years) and conducted a cost-effectiveness analysis of improvements along the HIV care continuum : We evaluated enhanced HIV testing (annual for high-risk groups), increased 3-month linkage to care (to 90%), and improved retention (50% relative reduction in yearly disengagement and 50% increase in reengagement). Our primary outcomes were HIV incidence, mortality, costs and quality-adjusted life-years (QALYs). RESULTS: Despite early ART initiation, a projected 1.39 million (95% uncertainty range [UR], 0.91-2.2 million) new HIV infections will occur at a (discounted) cost of $256 billion ($199-298 billion) over 2 decades at existing levels of HIV care engagement. Enhanced testing with increased linkage has modest epidemiologic benefits and could reduce incident HIV infections by 21% (95% UR, 13%-26%) at a cost of $65 700 per QALY gained ($44 500-111 000). By contrast, comprehensive improvements that couples enhanced testing and linkage with improved retention would reduce HIV incidence by 54% (95% UR, 37%-68%) and mortality rate by 64% (46%-78%), at a cost-effectiveness ratio of $45 300 per QALY gained ($27 800-72 300). CONCLUSIONS: Failure to improve engagement in HIV care in the United States leads to excess infections, treatment costs, and deaths. Interventions that improve not just HIV screening but also retention in care are needed to optimize epidemiologic impact and cost-effectiveness.

The HIV Care Continuum: Changes over Time in Retention in Care and Viral Suppression.

BACKGROUND: The HIV care continuum (diagnosis, linkage to care, retention in care, receipt of antiretroviral therapy (ART), viral suppression) has been used to identify opportunities for improving the delivery of HIV care. Continuum steps are typically calculated in a conditional manner, with the number of persons completing the prior step serving as the base population for the next step. This approach may underestimate the prevalence of viral suppression by excluding patients who are suppressed but do not meet standard definitions of retention in care. Understanding how retention in care and viral suppression interact and change over time may improve our ability to intervene on these steps in the continuum. METHODS: We followed 17,140 patients at 11 U.S. HIV clinics between 2010-2012. For each calendar year, patients were classified into one of five categories: (1) retained/suppressed, (2) retained/not-suppressed, (3) not-retained/suppressed, (4) not-retained/not-suppressed, and (5) lost to follow-up (for calendar years 2011 and 2012 only). Retained individuals were those completing ≥ 2 HIV medical visits separated by ≥ 90 days in the year. Persons not retained completed ≥ 1 HIV medical visit during the year, but did not meet the retention definition. Persons lost to follow-up had no HIV medical visits in the year. HIV viral suppression was defined as HIV-1 RNA ≤ 200 copies/mL at the last measure in the year. Multinomial logistic regression was used to determine the probability of patients' transitioning between retention/suppression categories from 2010 to 2011 and 2010 to 2012, adjusting for age, sex, race/ethnicity, HIV risk factor, insurance status, CD4 count, and use of ART. RESULTS: Overall, 65.8% of patients were retained/suppressed, 17.4% retained/not-suppressed, 10.0% not-retained/suppressed, and 6.8% not-retained/not-suppressed in 2010. 59.5% of patients maintained the same status in 2011 (kappa=0.458) and 53.3% maintained the same status in 2012 (kappa=0.437). CONCLUSIONS: Not counting patients not-retained/suppressed as virally suppressed, as is commonly done in the HIV care continuum, underestimated the proportion suppressed by 13%. Applying the care continuum in a longitudinal manner will enhance its utility.

Hepatitis C virus testing in adults living with HIV: a need for improved screening efforts.

OBJECTIVES: Guidelines recommend hepatitis C virus (HCV) screening for all people living with HIV (PLWH). Understanding HCV testing practices may improve compliance with guidelines and can help identify areas for future intervention. METHODS: We evaluated HCV screening and unnecessary repeat HCV testing in 8,590 PLWH initiating care at 12 U.S. HIV clinics between 2006 and 2010, with follow-up through 2011. Multivariable logistic regression examined the association between patient factors and the outcomes: HCV screening (≥1 HCV antibody tests during the study period) and unnecessary repeat HCV testing (≥1 HCV antibody tests in patients with a prior positive test result). RESULTS: Overall, 82% of patients were screened for HCV, 18% of those screened were HCV antibody-positive, and 40% of HCV antibody-positive patients had unnecessary repeat HCV testing. The likelihood of being screened for HCV increased as the number of outpatient visits rose (adjusted odds ratio 1.02, 95% confidence interval 1.01-1.03). Compared to men who have sex with men (MSM), patients with injection drug use (IDU) were less likely to be screened for HCV (0.63, 0.52-0.78); while individuals with Medicaid were more likely to be screened than those with private insurance (1.30, 1.04-1.62). Patients with heterosexual (1.78, 1.20-2.65) and IDU (1.58, 1.06-2.34) risk compared to MSM, and those with higher numbers of outpatient (1.03, 1.01-1.04) and inpatient (1.09, 1.01-1.19) visits were at greatest risk of unnecessary HCV testing. CONCLUSIONS: Additional efforts to improve compliance with HCV testing guidelines are needed. Leveraging health information technology may increase HCV screening and reduce unnecessary testing.

Health insurance coverage for persons in HIV care, 2006-2012.

We examined trends in health insurance coverage among 36,999 HIV-infected adults in care at 11 US HIV clinics between 2006 and 2012. Aggregate health insurance coverage was stable during this time. The proportions of patient-years with private, Medicaid, Medicare, and no insurance during this period were 15.9%, 35.7%, 20.1%, and 28.4%, respectively. Medicaid coverage was more prevalent among women than men, blacks, and Hispanics than whites, and individuals with injection drug use risk compared with other transmission risk factors. Hispanics and younger age groups were more likely to be uninsured than other racial/ethnic and older age groups, respectively.

Conformity of pediatric/adolescent HIV clinics to the patient-centered medical home care model.

The patient-centered medical home (PCMH) has been introduced as a model for providing high-quality, comprehensive, patient-centered care that is both accessible and coordinated, and may provide a framework for optimizing the care of youth living with HIV (YLH). We surveyed six pediatric/adolescent HIV clinics caring for 578 patients (median age 19 years, 51% male, and 82% black) in July 2011 to assess conformity to the PCMH. Clinics completed a 50-item survey covering the six domains of the PCMH: (1) comprehensive care, (2) patient-centered care, (3) coordinated care, (4) accessible services, (5) quality and safety, and (6) health information technology. To determine conformity to the PCMH, a novel point-based scoring system was devised. Points were tabulated across clinics by domain to obtain an aggregate assessment of PCMH conformity. All six clinics responded. Overall, clinics attained a mean 75.8% [95% CI, 63.3-88.3%] on PCMH measures-scoring highest on patient-centered care (94.7%), coordinated care (83.3%), and quality and safety measures (76.7%), and lowest on health information technology (70.0%), accessible services (69.1%), and comprehensive care (61.1%). Clinics moderately conformed to the PCMH model. Areas for improvement include access to care, comprehensive care, and health information technology. Future studies are warranted to determine whether greater clinic PCMH conformity improves clinical outcomes and cost savings for YLH.

The cost-effectiveness of rotavirus vaccination in Malawi.

BACKGROUND: Rotarix (GlaxoSmithKline), a newly licensed rotavirus vaccine requiring 2 doses, may have the potential to save hundreds of thousands of lives in Africa. Nations such as Malawi, where Rotarix is currently under phase III investigation, may nevertheless face difficult economic choices in considering vaccine adoption. METHODS: The cost-effectiveness of implementing a Rotarix vaccine program in Malawi was estimated using published estimates of rotavirus burden, vaccine efficacy, and health care utilization and costs. RESULTS: With 49.5% vaccine efficacy, a Rotarix program could avert 2582 deaths annually. With GAVI Alliance cofinancing, adoption of Rotarix would be associated with a cost of $5.07 per disability-adjusted life-year averted. With market pricing, Rotarix would be associated with a base case cost of $74.73 per disability-adjusted life-year averted. Key variables influencing results were vaccine efficacy, under-2 rotavirus mortality, and program cost of administering each dose. CONCLUSIONS: Adopting Rotarix would likely be highly cost-effective for Malawi, particularly with GAVI support. This finding holds true across uncertainty ranges for key variables, including efficacy, for which data are becoming available.