Inventory of Survey Databases for Native Hawaiian, Pacific Islander, and Filipino Health Disparities Research.

The aim of this scoping review was to assist researchers who want to use survey data, either in academic or community settings, to identify and comprehend health disparities affecting Native Hawaiian (NH), Pacific Islander (PI), and/or Filipino populations, as these are groups with known and numerous health disparities. The scoping review methodology was used to identify survey datasets that disaggregate data for NH, PI, or Filipinos. Healthdata.gov was searched, as there is not an official index of databases. The website was established by the United States (US) Department and Health and Human Services to increase accessibility of health data for entrepreneurs, researchers, and policy makers, with the ultimate goal of improving health outcomes. Using the search term 'survey,' 332 datasets were retrieved, many of which were duplicates from different years. Datasets were included that met the following criteria: (1) related to health; (2) disaggregated NH, PI, and/or Filipino subgroups; (3) administered in the US; (4) publicly available; (5) individual-level data; (6) self-reported information; and (7) contained data from 2010 or later. Fifteen survey datasets met the inclusion criteria. Two additional survey datasets were identified by colleagues. For each dataset, the dataset name, data source, years of the data availability, availability of disaggregated NH, PI, and/or Filipino data, data on health outcomes and social determinants of health, and website information were documented. This inventory of datasets should be of use to researchers who want to advance understanding of health disparities experienced by NH, PI, and Filipino populations in the US.

Evaluation of Access to Care Barriers and Their Effect on General Health Status Among Native Hawaiian and Pacific Islander Adults.

There is a paucity of information on access to care barriers faced by Native Hawaiian and Pacific Islander (NHPI) community. This study utilized the 2014 Native Hawaiian and Pacific Islander National Health Interview Survey (NHPI NHIS) data to evaluate access to care barriers among NHPI population and their effect on general health status. Access to care barriers were categorized as financial barrier (affordability) and non-financial barriers (availability, accommodation, acceptability, and accessibility). Overall, 13.7% reported of the fair/poor general health and over 30% reported at least one access to care barrier. Logistic regression model was used to evaluate how financial and non-financial barriers affect general health status, adjusting for socio-demographic variables such as age, poverty threshold, and marital status and health-related variables such as smoking status and chronic health conditions. Those who reported financial barrier (21.2%) were more likely to be in fair/poor general health (odds ratio 2.25, 95% confidence interval 1.43-3.56). Non-financial barrier, reported by 20.0% of the study population, was found to be not associated with general health status after adjusting for socio-demographic and health-related variables. Improving access to care among NHPI community could be achieved by identifying and addressing the barriers, which in turn could lead to improvement in the general health status among NHPI community.

Noninvasive vs Invasive Respiratory Support for Patients with Acute Hypoxemic Respiratory Failure.

Rationale: Noninvasive respiratory support modalities are common alternatives to mechanical ventilation for patients with early acute hypoxemic respiratory failure. These modalities include noninvasive positive pressure ventilation, using either continuous or bilevel positive airway pressure, and nasal high flow using a high flow nasal cannula system. However, outcomes data historically compare noninvasive respiratory support to conventional oxygen rather than to mechanical ventilation. Objectives: The goal of this study was to compare the outcomes of in-hospital death and alive discharge in patients with acute hypoxemic respiratory failure when treated initially with noninvasive respiratory support compared to patients treated initially with invasive mechanical ventilation. Methods: We used a validated phenotyping algorithm to classify all patients with eligible International Classification of Diseases codes at a large healthcare network between January 1, 2018 and December 31, 2019 into noninvasive respiratory support and invasive mechanical ventilation cohorts. The primary outcome was time-to-in-hospital death analyzed using an inverse probability of treatment weighted Cox model adjusted for potential confounders, with estimated cumulative incidence curves. Secondary outcomes included time-to-hospital discharge alive. A secondary analysis was conducted to examine potential differences between noninvasive positive pressure ventilation and nasal high flow. Results: During the study period, 3177 patients met inclusion criteria (40% invasive mechanical ventilation, 60% noninvasive respiratory support). Initial noninvasive respiratory support was not associated with a decreased hazard of in-hospital death (HR: 0.65, 95% CI: 0.35 - 1.2), but was associated with an increased hazard of discharge alive (HR: 2.26, 95% CI: 1.92 - 2.67). In-hospital death varied between the nasal high flow (HR 3.27, 95% CI: 1.43 - 7.45) and noninvasive positive pressure ventilation (HR 0.52, 95% CI 0.25 - 1.07), but both were associated with increased likelihood of discharge alive (nasal high flow HR 2.12, 95 CI: 1.25 - 3.57; noninvasive positive pressure ventilation HR 2.29, 95% CI: 1.92 - 2.74). Conclusion: These observational data from a large healthcare network show that noninvasive respiratory support is not associated with reduced hazards of in-hospital death but is associated with hospital discharge alive. There are also potential differences between the noninvasive respiratory support modalities.

Potentially preventable hospitalizations and super-utilization of inpatient services among patients with chronic kidney disease in Hawai'i.

BACKGROUND: Chronic kidney disease (CKD) is linked to high morbidity and mortality and increased hospitalization burden. If appropriately managed in the outpatient setting, ambulatory care-sensitive conditions (ACSCs) do not lead to hospitalization. Hospitalizations due to ACSCs are considered as potentially preventable hospitalizations. Patients with recurrent hospitalizations are considered as super-utilizers of inpatient services. The aim of this study is to determine prevalence of potentially preventable hospitalizations and super-utilization of inpatient services among patients with CKD in Hawai'i. METHODS: Hawai'i statewide inpatient data (2015-2017) were used to identify adult CKD patients with hospitalizations during a 12-month period from the first recorded date of CKD. The associations between the potentially preventable hospitalizations and super-utilization and other key patient demographic and clinical variables (sex, age, ethnicity, insurance type, Charlson comorbidity index (CCI), county of residence, and homelessness indicator) were analyzed using bivariate analysis. Multivariable logistic regression was utilized to assess the associations between the potentially preventable hospitalizations and patient variables. RESULTS: Approximately 2% of patients reported potentially preventable hospitalizations, and a total of 12.3% patients reported super-utilization. Out of all CKD-specific ACSC hospitalizations, 74.2% were due to heart failure and 25.8% were due to hyperkalemia. Patients who reported super-utilization were more likely to report potentially preventable hospitalization (OR: 5.98, 95%CI: 4.50-7.93) than patients who did not report super-utilization. CONCLUSION: This study showed prevalence of potentially preventable hospitalizations and high inpatient utilization among CKD patients in Hawai'i. Heart failure and hyperkalemia were the two major causes of CKD-specific ACSC hospitalizations in this cohort. Effective strategies should be employed to improve the outpatient CKD management to reduce hospitalizations and in turn reduce cost.