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1.
Prev Chronic Dis ; 19: E72, 2022 11 17.
Artigo em Inglês | MEDLINE | ID: mdl-36395004

RESUMO

INTRODUCTION: The true extent of racial and ethnic disparities in COVID-19 hospitalizations may be hidden by misclassification of race and ethnicity. This study aimed to quantify this inaccuracy in a hospital's electronic medical record (EMR) against the gold standard of self-identification and then project data onto state-level COVID-19 hospitalizations by self-identified race and ethnicity. METHODS: To identify misclassification of race and ethnicity in the EMRs of a hospital in Honolulu, Hawaii, research and quality improvement staff members surveyed all available patients (N = 847) in 5 cohorts in 2007, 2008, 2010, 2013, and 2020 at randomly selected hospital and ambulatory units. The survey asked patients to self-identify up to 12 races and ethnicities. We compared these data with data from EMRs. We then estimated the number of COVID-19 hospitalizations by projecting racial misclassifications onto publicly available data. We determined significant differences via simulation-constructed medians and 95% CIs. RESULTS: EMR-based and self-identified race and ethnicity were the same in 86.5% of the sample. Native Hawaiians (79.2%) were significantly less likely than non-Native Hawaiians (89.4%) to be correctly classified on initial analysis; this difference was driven by Native Hawaiians being more likely than non-Native Hawaiians to be multiracial (93.4% vs 30.3%). When restricted to multiracial patients only, we found no significant difference in accuracy (P = .32). The number of COVID-19-related hospitalizations was 8.7% higher among Native Hawaiians and 3.9% higher among Pacific Islanders when we projected self-identified race and ethnicity rather than using EMR data. CONCLUSION: Using self-identified rather than hospital EMR data on race and ethnicity may uncover further disparities in COVID-19 hospitalizations.


Assuntos
COVID-19 , Etnicidade , Humanos , Autorrelato , Havaí/epidemiologia , Hospitalização , Hospitais , Inquéritos e Questionários
2.
Hawaii J Med Public Health ; 78(6 Suppl 1): 90-97, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-31285977

RESUMO

The Ke Ku'una Na'au (KKN) navigators were first hired in 2016 at The Queen's Medical Center (QMC) in Honolulu, Hawai'i, with a focus on reducing hospital readmissions for socially and economically vulnerable Native Hawaiian adults. To our knowledge, QMC was the first acute care hospital in the state to implement the use of community health workers into the health care system as navigators for patient needs in the community following discharge. This article tells the story of our experiences as the 5 patient navigators from the Native Hawaiian community during the first 2 years of the program. The article describes how we ended up in this vocation and a summary of what we have learned. We also describe walking with our patients through their journey of healing, a journey which begins at the bedside during hospitalization starting with the moment we say, "Aloha." (A companion article in this issue describes the KKN program history, design, and clinical outcomes in more detail.) We hope these stories are inspirational to others who fill the community health worker role and may walk in our shoes in other health care organizations and/or help support the planning and implementation of similar programs to meet other communities' health needs. We consider the implications for community-clinical linkages.


Assuntos
Agentes Comunitários de Saúde/psicologia , Navegação de Pacientes/normas , Centros Médicos Acadêmicos/organização & administração , Humanos , Pesquisa Qualitativa
3.
Hawaii J Med Public Health ; 78(6 Suppl 1): 83-89, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-31285976

RESUMO

Although acute care facilities have not typically focused on resolving the psychosocial determinants of health, new models are emerging. This article provides details of the Ke Ku'una Na'au (KKN) Native Hawaiian Behavioral Health Initiative implemented in 2016 at The Queen's Medical Center in Honolulu, Hawai'i. The program is focused on reducing hospital readmissions for socially and economically vulnerable Native Hawaiian adults and improving their health care outcomes after hospitalization. The program was piloted on 2 medical units to assist patients who identified as Native Hawaiian, were ages 18 and older, and living with chronic diseases, psychosocial needs, and/or behavioral health problems. The program model was developed using a team of Native Hawaiian community health workers referred to as navigators, who were supported by an advanced practice nurse and a project coordinator/social worker. Navigators met patients during their inpatient stay and then followed patients post discharge to support them across any array of interpersonal needs for at least 30 days post-discharge. Goals were to assist patients with attending a post-hospital follow-up appointment, facilitate implementation of the discharge plan, and address social determinants of health that were impacting access to care. In 2017, 338 patients received care from the KKN program, a number that has grown since that time. In 2015, the baseline readmission rate for Native Hawaiians on the 2 medical units was 16.6% (for 440 Native Hawaiian patients in total). In 2017, the readmission rate for Native Hawaiians patients on the two medical units was 12.6% (for 445 Native Hawaiian patients, inclusive of KKN patients) (P=.092). This decrease suggests that the KKN program has been successful at reducing readmissions for vulnerable patients and, thus, improving care for Native Hawaiians in the health system generally. The KKN program has offered relevant, culturally sensitive care meeting a complex, personalized array of needs for over 338 patients and has shown demonstrated success in its outcomes. This information will be useful to other acute care organizations considering similar programs.


Assuntos
Medicina do Comportamento/métodos , Havaiano Nativo ou Outro Ilhéu do Pacífico/etnologia , Centros Médicos Acadêmicos/organização & administração , Centros Médicos Acadêmicos/estatística & dados numéricos , Medicina do Comportamento/tendências , Doença Crônica/etnologia , Doença Crônica/psicologia , Havaí/etnologia , Humanos , Havaiano Nativo ou Outro Ilhéu do Pacífico/psicologia , Havaiano Nativo ou Outro Ilhéu do Pacífico/estatística & dados numéricos , Readmissão do Paciente/estatística & dados numéricos
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