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1.
Am J Public Health ; 113(5): 477-479, 2023 05.
Article in English | MEDLINE | ID: covidwho-2299830
3.
J Appl Gerontol ; 41(7): 1641-1650, 2022 07.
Article in English | MEDLINE | ID: covidwho-1785007

ABSTRACT

This study's aim was to determine nursing home (NH) and county-level predictors of COVID-19 outbreaks in nursing homes (NHs) in the southeastern region of the United States across three time periods. NH-level data compiled from census data and from NH compare and NH COVID-19 infection datasets provided by the Center for Medicare and Medicaid Services cover 2951 NHs located in 836 counties in nine states. A generalized linear mixed-effect model with a random effect was applied to significant factors identified in the final stepwise regression. County-level COVID-19 estimates and NHs with more certified beds were predictors of COVID-19 outbreaks in NHs across all time periods. Predictors of NH cases varied across the time periods with fewer community and NH variables predicting COVID-19 in NH during the late period. Future research should investigate predictors of COVID-19 in NH in other regions of the US from the early periods through March 2021.


Subject(s)
COVID-19 , Nursing Homes , Aged , COVID-19/epidemiology , Centers for Medicare and Medicaid Services, U.S. , Humans , Medicare , Nursing Homes/statistics & numerical data , Southeastern United States/epidemiology , United States
4.
Public Health Rep ; 137(2): 239-243, 2022.
Article in English | MEDLINE | ID: covidwho-1673687

ABSTRACT

Monitoring COVID-19 vaccination coverage among nursing home residents and staff is important to ensure high coverage rates and guide patient-safety policies. With the termination of the federal Pharmacy Partnership for Long-Term Care Program, another source of facility-based vaccination data is needed. We compared numbers of COVID-19 vaccinations administered to nursing home residents and staff reported by pharmacies participating in the temporary federal Pharmacy Partnership for Long-Term Care Program with the numbers of COVID-19 vaccinations reported by nursing homes participating in new COVID-19 vaccination modules of the Centers for Disease Control and Prevention's National Healthcare Safety Network (NHSN). Pearson correlation coefficients comparing the number vaccinated between the 2 approaches were 0.89, 0.96, and 0.97 for residents and 0.74, 0.90, and 0.90 for staff, in the weeks ending January 3, 10, and 17, 2021, respectively. Based on subsequent NHSN reporting, vaccination coverage with ≥1 vaccine dose reached 73.7% for residents and 47.6% for staff the week ending January 31 and increased incrementally through July 2021. Continued monitoring of COVID-19 vaccination coverage is important as new nursing home residents are admitted, new staff are hired, and additional doses of vaccine are recommended.


Subject(s)
COVID-19/prevention & control , Long-Term Care , Nursing Homes , Vaccination Coverage/statistics & numerical data , Centers for Medicare and Medicaid Services, U.S. , Humans , Mandatory Reporting , Public Health Surveillance/methods , SARS-CoV-2 , United States
9.
J Am Geriatr Soc ; 69(8): 2070-2078, 2021 08.
Article in English | MEDLINE | ID: covidwho-1247240

ABSTRACT

OBJECTIVES: The coronavirus disease 2019 (COVID-19) pandemic has severely affected nursing home residents. Given the continued high incidence of COVID-19, and the likelihood that new variants and other infectious agents may cause future outbreaks, we sought to understand the relationship of nursing home quality ratings and measures of COVID-19 outbreak severity and persistence. DESIGN: We analyzed nursing home facility-level data on COVID-19 cases and deaths, county-level COVID-19 rates, and nursing home data from the Centers for Medicare & Medicaid Services (CMS), including ratings from the CMS Nursing Home Five-Star Quality Rating System. We used regression analysis to examine the association between star ratings and cumulative COVID-19 incidence and mortality as well as persistent high resident incidence. SETTING: All nursing homes in the CMS COVID-19 Nursing Home Dataset reporting data that passed quality assurance checks for at least 20 weeks and that were included in the January 2021 Nursing Home Care Compare update. PARTICIPANTS: Residents of the included nursing homes. MEASUREMENTS: Cumulative resident COVID-19 incidence and mortality through January 10, 2021; number of weeks with weekly resident incidence of COVID-19 in the top decile nationally. RESULTS: As of January 10, 2021, nearly all nursing homes (93.6%) had reported at least one case of COVID-19 among their residents, more than three-quarters (76.9%) had reported at least one resident death, and most (83.5%) had experienced at least 1 week in the top decile of weekly incidence. In analyses adjusted for facility and county-level characteristics, we found generally consistent relationships between higher nursing home quality ratings and lower COVID-19 incidence and mortality, as well as with fewer high-incidence weeks. CONCLUSION: Nursing home quality ratings are associated with COVID-19 incidence, mortality, and persistence. Nursing homes receiving five-star ratings, for overall quality as well as for each domain, had lower COVID-19 rates among their residents.


Subject(s)
COVID-19/transmission , Centers for Medicare and Medicaid Services, U.S./statistics & numerical data , Nursing Homes/statistics & numerical data , Quality Indicators, Health Care/statistics & numerical data , COVID-19/epidemiology , COVID-19/mortality , Humans , Incidence , United States/epidemiology
10.
Clin Obstet Gynecol ; 64(2): 398-406, 2021 06 01.
Article in English | MEDLINE | ID: covidwho-1203757

ABSTRACT

Mobile applications and telehealth services are being used to unprecedented degrees in maternal and child care, with uncertain impact on population health outcomes. In this article, we will review the role of the COVID-19 pandemic in accelerating large scale implementation of telehealth services, known and anticipated impacts on maternal and child health and related inequities, and potential strategies to optimize outcomes at the population level.


Subject(s)
Child Health Services , Child Health , Health Status Disparities , Healthcare Disparities , Maternal Health Services , Telemedicine/methods , COVID-19/prevention & control , Centers for Medicare and Medicaid Services, U.S. , Child , Child Health Services/organization & administration , Child, Preschool , Ethnicity , Female , Health Policy , Humans , Infant , Infant, Newborn , Maternal Health Services/organization & administration , Minority Groups , Mobile Applications , Outcome Assessment, Health Care , Pregnancy , Social Determinants of Health , Telemedicine/organization & administration , United States
13.
Int J Qual Health Care ; 33(1)2021 Mar 09.
Article in English | MEDLINE | ID: covidwho-1109249

ABSTRACT

OBJECTIVE: To identify how features of the community in which a hospital serves differentially relate to its patients' experiences based on the quality of that hospital. DESIGN: A Finite Mixture Model (FMM) is used to uncover a mix of two latent groups of hospitals that differ in quality. In the FMM, a multinomial logistic equation relates hospital-level factors to the odds of being in either group. And a multiple linear regression relates the characteristics of communities served by hospitals to the patients' expected ratings of their experiences at hospitals in each group. Thus, this association potentially varies with hospital quality. The analysis was conducted via Stata. SETTING: Hospital Ratings are measured by Hospital Compare using the HCAHPS survey, a patient satisfaction survey required by the Centers for Medicare and Medicaid Services (CMS) for hospitals in the United States. Participants: 2,816 Medicare-certified acute care hospitals across all US states.


Subject(s)
COVID-19/epidemiology , Centers for Medicare and Medicaid Services, U.S./standards , Quality Indicators, Health Care/statistics & numerical data , Socioeconomic Factors , Age Factors , Female , Humans , Linear Models , Male , Patient Satisfaction/statistics & numerical data , Residence Characteristics/statistics & numerical data , SARS-CoV-2 , Sex Factors , United States/epidemiology
14.
J Am Board Fam Med ; 34(Suppl): S10-S12, 2021 02.
Article in English | MEDLINE | ID: covidwho-1100019

ABSTRACT

The United States spends billions of dollars each year preparing for medical emergencies. Noticeably absent from that budget is an effective process to protect the frontline defenders delivering primary care.


Subject(s)
COVID-19 , Family Practice , Aged , Centers for Medicare and Medicaid Services, U.S. , Humans , Medicare , Primary Health Care , SARS-CoV-2 , United States
15.
J Am Board Fam Med ; 34(Suppl): S13-S15, 2021 02.
Article in English | MEDLINE | ID: covidwho-1100013

ABSTRACT

On June 22, 2020, the Centers for Medicare and Medicaid Services (CMS) unveiled an aggregate data set on the impact of the coronavirus disease 2019 (COVID-19) on its beneficiaries. The CMS brief is especially noteworthy for offering COVID-19-related racial and ethnic health disparity data on a national scale, thereby extending reports heretofore limited to states, cities, or health systems. The CMS COVID-19 brief exposes distressing racial and ethnic health disparities. It is the objective of this commentary to trace the origins of the CMS COVID-19 brief, discuss its salient findings, and consider its implications.


Subject(s)
COVID-19/ethnology , Centers for Medicare and Medicaid Services, U.S. , Ethnicity , Health Status Disparities , Healthcare Disparities/ethnology , Racial Groups , Racism , COVID-19/diagnosis , COVID-19/therapy , Health Services Accessibility , Humans , Medicaid , Medicare , Prognosis , United States/epidemiology
17.
J Am Board Fam Med ; 34(Suppl): S29-S32, 2021 02.
Article in English | MEDLINE | ID: covidwho-1099999

ABSTRACT

The SARS-CoV-2 epidemic has led to rapid transformation of health care delivery and access with increased provision of telehealth services despite previously identified barriers and limitations to this care. While telehealth was initially envisioned to increase equitable access to care for under-resourced populations, the way in which telehealth provision is designed and implemented may result in worsening disparities if not thoughtfully done. This commentary seeks to demonstrate the opportunities for telehealth equity based on past research, recent developments, and a recent patient experience case example highlighting benefits of telehealth care in underserved patient populations. Recommendations to improve equity in telehealth provision include improved virtual visit technology with a focus on patient ease of use, strategies to increase access to video visit equipment, universal broadband wireless, and inclusion of telephone visits in CMS reimbursement criteria for telehealth.


Subject(s)
COVID-19 , Health Services Accessibility/organization & administration , Healthcare Disparities , Medically Underserved Area , Telemedicine/organization & administration , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/therapy , Centers for Medicare and Medicaid Services, U.S./organization & administration , Health Policy , Humans , Pandemics , United States/epidemiology
18.
Fam Syst Health ; 38(4): 482-485, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1085433

ABSTRACT

There is opportunity in every crisis. COVID-19 has presented an unprecedented crisis. What opportunity can be gleaned from it? Unlike crises in the more recent past, such as the bombing of the Twin Towers and Pentagon on 9/11, COVID-19 is an ongoing global pandemic, affecting nearly every person on the planet in some shape or form. It is not only the physical effects of the SARS-CoV-2 virus that are lethal; the mental health effects are also taking their toll. The impact of physical distancing, stay-at-home orders, job loss, isolation, and fear have resulted in a considerably greater number of people's experiencing symptoms of anxiety disorder and depressive disorder in the United States. Accessing health care services has been a particular challenge given concerns about exposure to the virus and an overwhelmed health care delivery system. In response, policymakers at the federal and state levels implemented changes aimed at addressing access to essential care to include telehealth services. As the public experiences firsthand the struggles of coping with mental health issues in a fragmented dysfunctional health system, there is an opportunity is to use this crisis as a springboard to advocate for permanent changes to promote telehealth, to elevate the importance of integrated behavioral health, and to support the destigmatization of mental illness. (PsycInfo Database Record (c) 2021 APA, all rights reserved).


Subject(s)
COVID-19/epidemiology , COVID-19/psychology , Health Services Accessibility/organization & administration , Mental Health Services/organization & administration , Mental Health/statistics & numerical data , Centers for Medicare and Medicaid Services, U.S./organization & administration , Communicable Disease Control/organization & administration , Family Health , Health Policy , Humans , Insurance, Health, Reimbursement , Pandemics , SARS-CoV-2 , Telemedicine/organization & administration , Unemployment/psychology , United States/epidemiology
19.
J Am Geriatr Soc ; 69(4): 850-860, 2021 04.
Article in English | MEDLINE | ID: covidwho-1084099

ABSTRACT

BACKGROUND/OBJECTIVES: Regulatory oversight has been a central strategy to assure nursing home quality of care for decades. In response to COVID-19, traditional elements of oversight that relate to resident care have been curtailed in favor of implementing limited infection control surveys and targeted complaint investigations. We seek to describe the state of nursing home oversight during the pandemic to facilitate a discussion of whether and how these activities should be altered going forward. DESIGN AND SETTING: In a retrospective study, we describe national oversight activities in January-June 2020 and compare these activities to the same time period from 2019. We also examine state-level oversight activities during the peak months of the pandemic. PARTICIPANTS: United States nursing homes. DATA: Publicly available Quality, Certification, and Oversight Reports (QCOR) data from the Centers for Medicare and Medicaid Services (CMS). MEASUREMENTS: Number of standard, complaint, and onsite infection surveys, number of deficiencies from standard and complaint surveys, number of citations by deficiency tag, and number and amount of civil monetary penalties. RESULTS: The number of standard and complaint surveys declined considerably in the second quarter of 2020 relative to the same time frame in 2019. Deficiency citations generally decreased to near zero by April 2020 with the exception of infection prevention and control deficiencies and citations for failure to report COVID-19 data to the national health safety network. Related enforcement actions were down considerably in 2020, relative to 2019. CONCLUSION: In the months since COVID-19 first impacted nursing homes, regulatory oversight efforts have fallen off considerably. While CMS implemented universal infection control surveys and targeted complaint investigations, other routine aspects of oversight dropped in light of justifiable limits on nursing home entry. Going forward, we must develop policies that allow regulators to balance the demands of the pandemic while fulfilling their responsibilities effectively.


Subject(s)
COVID-19 , Centers for Medicare and Medicaid Services, U.S./statistics & numerical data , Infection Control , Mandatory Reporting , Nursing Homes/statistics & numerical data , Quality of Health Care/standards , Aged , Certification/standards , Female , Government Regulation , Humans , Retrospective Studies , United States
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