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34 citation(s) found for "Hamadi, Hanadi".

Race to the Top of the Hospital Value-Based Purchasing Program
Spaulding, Aaron , Tafili, Aurora , Liu, Xinliang , Spaulding, Aaron , Hamadi, Hanadi , Xu, Jing

Mayo Clinic

Journal of Healthcare Management | March 12, 2021 | Volume: 66 | Issue: 2 | Pages: 95-108

10.1097/jhm-d-20-00087 | PMID 33692313 Get It

EXECUTIVE SUMMARY Medicare’s Hospital Valued-Based Purchasing (HVBP) program measures hospitals’ total performance score (TPS); its measurement strategies have changed regularly since its rollout in 2013. Because the program influences care delivery, it is important to examine how the policy has changed hospitals’ behavior and how it may inform future policies. The purpose of this study was to assess the relationship between hospitals’ performance on TPS annually from 2013 to 2018 and organizational characteristics. Using the HVBP TPS from 2013 to 2018 and associated hospital characteristics—hospital size, teaching hospital status, system membership, ownership type, urban/rural location, average percentages of patients from Medicare and Medicaid, operating margins, percentages of inpatient revenue as a proportion of total revenue, and case mix index—we conducted a retrospective cohort study of all U.S. hospitals participating in the HVBP program. Regression and panel analyses found that organizations that were expected to have robust and rigid resources were unable to score in the superior category consistently. In addition, organizations were unable to consistently perform positively over time because of changes in the HVBP program measurement and the required organizational responses. Policymakers should consider the ability of organizations to respond to changes to the HVBP program. Likewise, healthcare managers, particularly those in larger organizations, should seek to remove bureaucracy or allow for greater resource slack to meet these changes.
Effects of post-discharge telemonitoring on 30-day chronic obstructive pulmonary disease readmissions and mortality
Hamadi, Hanadi , Martinez, Dayana, Xu, Jing , Silvera, Geoffrey A, Mallea, Jorge M. , Hamadi, Walaa, Li, Xinmei , Li, Yueping , Zhao, Mei , Hamadi, Hanadi Y , Mallea, Jorge , Silvera, Geoffrey A.

Mayo Clinic

Journal of Telemedicine and Telecare | November 11, 2020 | Volume: 29 | Issue: 2 | Pages: 117-125

10.1177/1357633x20970402 | PMID 33176540 Get It

Introduction Much attention has been focused on decreasing chronic obstructive pulmonary disease (COPD) hospital readmissions. The US health system has struggled to meet this goal. The objective of this study was to assess the efficacy of telehealth services on the reduction of hospital readmission and mortality rates for COPD. Methods We used a cross-sectional design to examine the association between hospital risk-adjusted readmission and mortality rates for COPD and hospital use of post-discharge telemonitoring (TM). Data for 777 hospitals were sourced from the Centers for Medicare & Medicaid Services and the American Hospital Association annual surveys. Propensity score matching using the kennel weights method was applied to calculate the weighted probability of being a hospital that offers post-discharge TM services. Results Hospitals with post-discharge TM had about 34% significantly higher odds (adjusted odds ratio (AOR) = 1.34; 95% confidence interval (CI) 1.06–1.70) of 30-day COPD readmission and 33% significantly lower odds (AOR = 0.67; 95% CI 0.50–0.90) of 30-day COPD mortality compared to hospitals without post-discharge TM services. Discussion Overall, hospitals that offer post-discharge TM services have seen an improvement in 30-day COPD mortality rates. However, those same hospitals have also experienced a significant increase in 30-day COPD readmissions. TM can potentially decrease mortality in patients recently admitted for acute exacerbation of COPD. The results provide further evidence that readmissions present a problematic assessment of health-care quality, as the need for readmission may or may not be directly related to the quality of care received while in hospital.
Magnet Hospitals and 30-Day Readmission and Mortality Rates for Medicare Beneficiaries
Martinez, Dayana, Palenzuela, Julia, Spaulding, Aaron , Spaulding, Aaron C. , Spaulding, Aaron , Hamadi, Hanadi

Mayo Clinic

Medical Care | September 13, 2020 | Volume: 59 | Issue: 1 | Pages: 6-12

10.1097/mlr.0000000000001427 | PMID 32925454 Get It

Background: US hospitals are penalized for excess 30-day readmissions and mortality for select conditions. Under the Centers for Medicare and Medicaid Services policy, readmission prevention is incentivized to a greater extent than mortality reduction. A strategy to potentially improve hospital performance on either measure is by improving nursing care, as nurses provide the largest amount of direct patient care. However, little is known as to whether achieving nursing excellence, such as Magnet status, is associated with improved hospital performance on readmissions and mortality. Objective: The purpose of this study was to examine the relationship between hospitals’ Magnet status and performance on readmission and mortality rates for Medicare beneficiaries. Research Design: This is a cross-sectional analysis of Medicare readmissions and mortality reduction programs from 2013 to 2016. A propensity score–matching approach was used to take into account differences in baseline characteristics when comparing Magnet and non-Magnet hospitals. Subjects: The sample was comprised of 3877 hospitals. Measures: The outcome measures were 30-day risk-standardized readmission and mortality rates. Results: Following propensity score matching on hospital characteristics, we found that Magnet hospitals outperformed non-Magnet hospitals in reducing mortality; however, Magnet hospitals performed worse in reducing readmissions for acute myocardial infarction, coronary artery bypass grafting, and stroke. Conclusions: Magnet hospitals performed better on the Hospital Value-Based Purchasing Mortality Program than the Hospital Readmissions Reduction Program. The results of this study suggest the need for The Magnet Recognition Program to examine the role of nurses in postdischarge activities as a component of its evaluation criteria.
Hospital-Acquired Conditions Reduction Program, Patient Safety, and Magnet Designation in the United States
Hamadi, Hanadi, Borkar, Shalmali R., Moody, LaRee, Tafili, Aurora, Wilkes, J. Scott, Franco, Pablo Moreno, McCaughey, Deirdre, Spaulding, Aaron, Spaulding, Aaron , Tafili, Aurora , Moreno Franco, Pablo, Spaulding, Aaron , Hamadi, Hanadi, Borkar, Shalmali R., Moody, LaRee, Wilkes, J. Scott, Franco, Pablo Moreno, McCaughey, Deirdre

Mayo Clinic

Journal of Patient Safety | March 26, 2020 | Volume: 17 | Issue: 8 | Pages: e1814-e1820

10.1097/pts.0000000000000628 | PMID 32217925 Get It

Objective The aim of the study was to investigate the association between hospitals’ nursing excellence accreditation and patient safety performance—measured by the Hospital-Acquired Conditions Reduction Program (HACRP). Methods We linked data from the American Nursing Credentialing Center Magnet Recognition Program, Centers for Medicare and Medicaid Services HACRP, and the American Hospital Association annual survey from 2014 to 2016. We constrained the analysis to hospitals participating in Centers for Medicare and Medicaid Services’ HACRP and deployed propensity score matching models to calculate the coefficients for our HACRP patient safety measures. These measures consisted of (a) patient safety indicator 90, (b) hospital-associated infection measures, and (c) total HAC scores. In addition, we used propensity score matching to assess HACRP scores between hospitals achieving Magnet recognition in the past 2 versus longer and within the past 5 years versus longer. Results Our primary findings indicate that Magnet hospitals have an increased likelihood of experiencing lower patient safety indicator 90 scores, higher catheter-associated urinary tract infection and surgical site infection scores, and no different total HAC scores. Finally, when examining the impact of Magnet tenure, our analysis revealed that there were no differences in Magnet tenure. Conclusions Results indicate that the processes, procedures, and educational aspects associated with Magnet recognition seem to provide important improvements associated with care that is controlled by nursing practice. However, because these improvements do not differ when comparing total HAC scores nor Magnet hospitals with different tenure, there are likely opportunities for Magnet hospitals to continue process improvements focused on HACRP scores.
Impacts of smoke-free policies on 30-day readmission rates following hospitalization for chronic obstructive pulmonary disease in the United States
Peterson, Breck, Apatu, Emma , Stallings‐Smith, Sericea , Hamadi, Hanadi , Spaulding, Aaron

Mayo Clinic

Environmental Epidemiology | October 23, 2019 | Volume: 3 | Issue: Supplement 1 | Pages: 381-382

10.1097/01.ee9.0000610244.85951.7d Get It

Hospital Partnerships in Population Health Initiatives
Park, Sinyoung , Apatu, Emma , Spaulding, Aaron , Spaulding, Aaron C. , Spaulding, Aaron , Hamadi, Hanadi

Mayo Clinic

Population Health Management | September 12, 2019 | Volume: 23 | Issue: 3 | Pages: 226-233

10.1089/pop.2019.0074 | PMID 31513480 Get It

Hospitals are expected to fulfill a role in the communities they serve by improving the health of the population in the community as mandated in the Affordable Care Act. One way hospitals achieve this is to create partnerships with diverse organizations, such as local public health departments, state/federal agencies, and other health care organizations. The aim of this study is to examine characteristics of hospitals that developed partnerships based on improving population health. This study utilized the 2015 Population Health Survey, American Hospital Association Database, and Dartmouth Atlas of Health Care. Hospital characteristics included size, ownership status, part of a system, teaching status location, Medicare percentage, Medicaid percentage, average stay length, and inpatient days per 1000 persons. Level of partnership was measured by the hospital's current working relationship with other hospitals/health care systems or local/state/other agencies. Univariate, bivariate, and multivariate regression analyses were used to analyze the relationship between hospital partnerships and organizational characteristics. Hospitals with strong relationships tend to be larger and not-for-profit hospitals, hospitals with system members and located in urban areas, and teaching-affiliated hospitals. This study also found hospital characteristics were related to hospitals' partnerships. Hospitals within health care systems and with high inpatient volume were more likely to report relationships that were stronger. This study provides a systematic and updated look at hospitals' partnership when looking at commitment to population health improvement and contributes to the literature by informing about the greater need to support rural and smaller hospitals with population health outreach activities.
Medicare’ Hospital-Acquired Condition Reduction Program and Community Diversity in the United States: The Need to Account for Racial and Ethnic Segregation
Hamadi, Hanadi , Tafili, Aurora , Apatu, Emma , Park, Sinyoung , Spaulding, Aaron , Spaulding, Aaron , Hamadi, Hanadi Y

Mayo Clinic

Hospital Topics | August 29, 2019 | Volume: 97 | Issue: 4 | Pages: 148-155

10.1080/00185868.2019.1659122 | PMID 31464174 Get It

Trauma Certification and Hospital Referral Region Diversity: A System Approach Theory
Zakari, Nazik , Tafili, Aurora , Apatu, Emma , Hamadi, Hanadi , Spaulding, Aaron

Mayo Clinic

Academy of Management Proceedings | August 1, 2019 | Volume: 2019 | Issue: 1 | Pages: 11608

10.5465/ambpp.2019.11608abstract Get It

Impact of hospitals’ Referral Region racial and ethnic diversity on 30-day readmission rates of older adults
Hamadi, Hanadi , Moody, LaRee , Apatu, Emma , Vossos, Helene , Tafili, Aurora , Spaulding, Aaron , Spaulding, Aaron , Hamadi, Hanadi Y

Mayo Clinic

Journal of Community Hospital Internal Medicine Perspectives | June 19, 2019 | Volume: 9 | Issue: 3 | Pages: 181-188

10.1080/20009666.2019.1613882 | PMID 31258855 Get It

The Relationship between Health Information Technology Laboratory Tracking Systems and Hospital Financial Performance and Quality
Zhao, Mei , Hamadi, Hanadi , Williams, Cynthia , Liu, Xinliang , Spaulding, Aaron , Spaulding, Aaron , Hamadi, Hanadi Y , Haley, D. Rob

Mayo Clinic

Hospital Topics | June 5, 2019 | Volume: 97 | Issue: 3 | Pages: 99-106

10.1080/00185868.2019.1623735 | PMID 31166151 Get It