Return on Investment of the COVID-19 Vaccination Campaign in New York City.

Importance: New York City, an early epicenter of the pandemic, invested heavily in its COVID-19 vaccination campaign to mitigate the burden of disease outbreaks. Understanding the return on investment (ROI) of this campaign would provide insights into vaccination programs to curb future COVID-19 outbreaks. Objective: To estimate the ROI of the New York City COVID-19 vaccination campaign by estimating the tangible direct and indirect costs from a societal perspective. Design, Setting, and Participants: This decision analytical model of disease transmission was calibrated to confirmed and probable cases of COVID-19 in New York City between December 14, 2020, and January 31, 2022. This simulation model was validated with observed patterns of reported hospitalizations and deaths during the same period. Exposures: An agent-based counterfactual scenario without vaccination was simulated using the calibrated model. Main Outcomes and Measures: Costs of health care and deaths were estimated in the actual pandemic trajectory with vaccination and in the counterfactual scenario without vaccination. The savings achieved by vaccination, which were associated with fewer outpatient visits, emergency department visits, emergency medical services, hospitalizations, and intensive care unit admissions, were also estimated. The value of a statistical life (VSL) lost due to COVID-19 death and the productivity loss from illness were accounted for in calculating the ROI. Results: During the study period, the vaccination campaign averted an estimated $27.96 (95% credible interval [CrI], $26.19-$29.84) billion in health care expenditures and 315 724 (95% CrI, 292 143-340 420) potential years of life lost, averting VSL loss of $26.27 (95% CrI, $24.39-$28.21) billion. The estimated net savings attributable to vaccination were $51.77 (95% CrI, $48.50-$55.85) billion. Every $1 invested in vaccination yielded estimated savings of $10.19 (95% CrI, $9.39-$10.87) in direct and indirect costs of health outcomes that would have been incurred without vaccination. Conclusions and Relevance: Results of this modeling study showed an association of the New York City COVID-19 vaccination campaign with reduction in severe outcomes and avoidance of substantial economic losses. This significant ROI supports continued investment in improving vaccine uptake during the ongoing pandemic.

Effect of Physician Participation in a Multi-element Health Information and Data Exchange Program on Chronic Illness Medication Adherence.

BACKGROUND: The Primary Care Information Project (PCIP) includes a network of more than 10,000 physicians across New York City focusing on improving the quality of patient care through the use of health information technology and data exchange. METHODS: We assessed adherence, defined as the percentage with a medication possession ratio (MPR) ≥80%, across 2 time periods for union members whose primary care providers participated in the PCIP compared with those whose providers did not participate. Using prescription claims data from 2008 and 2011, the MPR was calculated for disease-specific categories of drugs among patients with diabetes, hypertension, and both conditions. RESULTS: Greater improvements in the number of adherent members were observed for the PCIP patients with diabetes who were taking diabetes-specific medications (odds ratio [OR], 2.03; 95% confidence interval [CI], 1.08-3.83 for PCIP, versus OR, 1.14; 95% CI, 0.81-1.60 for non-PCIP) and patients with diabetes who are taking lipid-controlling medications (OR, 1.64; 95% CI, 0.73-3.65 for PCIP versus OR, 0.85; 95% CI, 0.55-1.32 for non-PCIP). However, the magnitude and significance of these associations were diminished when practices providing reduced prescription co-pays were excluded from the analyses. CONCLUSION: Access to primary care providers participating in a public health initiative was associated with some improvement in medication adherence. However, reducing prescription co-pays may be a stronger factor for higher medication adherence among union members.

Applied Use of Composite Quality Measures for EHR-enabled Practices.

INTRODUCTION: The Primary Care Information Project (PCIP) of the New York City Department of Health and Mental Hygiene has been assisting providers to implement health information technology such as electronic health records (EHRs) since its founding in 2005. Currently, all practices affiliated with PCIP are offered technical support services in order to improve the use of the EHR. We studied the performance of clinical practices on EHR-derived Composite Quality Measures (CQMs) over time. Because specific EHR functionalities are important to calculating the quality measures, we hypothesize that performance on each of the CQMs will differ according to the EHR functionalities, and that this can inform the process of developing targeted technical assistance for the practices. METHODS: We created four CQMs: (1) Screening, (2) Assessment, (3) Control-BP, and (4) Control-Other. Using data from 93 practices, we identified three tertiles of CQM performance (premier, average, and low tiers) for each measure. A scatterplot of CQMs in 2010 versus 2011 was used to examine the individual movement of practices by tier. A dependent t-test compared the change in mean CQMs, and a chi-square test examined the association between the score and performance tier changes. RESULTS: Over a one-year period, low tier practices demonstrated the highest gains, average tier practices had modest gains, and premier tier practices had gains in some measures, but losses in others. On the Screening CQM 70 percent of practices remained within the same tier, with 60 percent on Assessment, 52 percent on Control-BP, and 38 percent on Control-Other; the Control-Other group showed the greatest improvement. DISCUSSION: By considering EHR functionalities associated with each of the four CQMs, we suggest that technical assistance can be better targeted to low-tier performing practices. In addition, there is still the potential for improvement over time at practices more familiar with key functionalities.

Health information systems in small practices. Improving the delivery of clinical preventive services.

BACKGROUND: Despite strong evidence that clinical preventive services (CPS) reduce morbidity and mortality, CPS performance has not improved in adult primary care. In addition to implementing electronic health records (EHRs), key factors for improving CPS include providing actionable information at the point of care, technical support staff, and quality-improvement assistance. These resources are not typically available in small practices. PURPOSE: Estimate the impact on CPS delivery after a software upgrade to embed a clinical decision support system and practice-level quality-improvement support services. METHODS: Practices were recruited from the Primary Care Information Project, a citywide initiative assisting practices adopt health information technology. Data were collected in 2009 and 2010, and analyses were conducted in 2010 and 2011. Across two time periods, receipt of CPS was calculated for 56 practices. Period 1 measured CPS delivery 2-37 months following implementation of an EHR. Period 2 measured CPS delivery within the first 6 months after an EHR software upgrade. RESULTS: Substantial increases in the delivery of selected CPS were observed after the EHR software upgrades. Blood pressure control for patients with hypertension increased from 46.0% to 54.8%. Breast cancer screening, recorded BMI, and HbA1c testing for patients with diabetes also increased. More than half of the practices increased their patients' blood pressure control, recorded BMI, breast cancer screening, and HbA1c screening by ≥5 percentage points. CONCLUSIONS: Delivery of CPS can increase in small primary care practices that implement an EHR that includes comprehensive quality-improvement support.