Disparities in Health,Obesity and Access to Care Among an Insured Population of Asian and Pacific Islander Americans in Hawai‘i

Objective

To examine differences in health status, obesity, and access among Asian and Pacific Islander Americans in Hawai‘i using data from a 2007 health plan survey, including Caucasians, Puerto Ricans, American Indian and Alaska Natives, Chinese, Filipinos, Japanese, Koreans, Native Hawai‘ians, Samoans, and Other Pacific Islanders.

Methods

Data were collected through a stratifified random sample of adult members of a health plan in Hawai‘i (n=119,563) who saw a physician in the past 12 months. Multivariable logistic and ordinary least squares regression analyses were used to examine racial/ethnic differences in health status, access, and obesity and the impact of obesity and access on health status, after controlling for age, gender, and education.

Results

The highest obesity rates were found among Samoans (50%), Puerto Ricans (37%), Native Hawai‘ians (36%), and Other Pacific Islanders (35%). Puerto Ricans and Samoans reported the highest number of poor physical health days (5.4). Samoans reported the highest number of poor mental health days (4.4). Obesity had a stronger impact than access on self-reported health status.

Conclusion

Samoans had the highest rate of obesity, low health ratings, and a high number of days of poor health. Targeted interventions may be needed for this group.     

Are Cancer Survivors Willing to Participate in Research?

Little is known about the late and long term effects of having survived cancer and its treatments. A cancer survivor registry with a representative longitudinal cohort of survivors from all types of cancers would facilitate the study of these effects. A group of researchers, cancer survivors and cancer registrars used hospital cancer registries to identify cancer survivors diagnosed from 1990 through 2006. All eligible cancer survivors were invited to participate in a cancer survivor registry. We describe our methods for engaging the community, who responded to the invitation and who agreed to participate. We used Chi square tests with a significance level of .05 to assess associations with response and participation rates. We used logistic regression to examine associations with participation after adjustment for the effect of age. Logistic regression was also used to assess the independent effects of those variables that were significantly associated with participation after adjustment for age. Of the 6031 eligible survivors, 55% responded to the invitation. Of those who responded 61% agreed to participate in the cancer survivor registry for an overall participation rate of 33%. Rural residence, less education, full time employment, and lower income were independently related to not participating, but marital status was not associated with participation after adjustment for these variables. It is very difficult to recruit a representative sample of cancer survivors to participate in a cancer survivor registry. More research on how to engage the underserved population (rural residents, less education and lower income) is warranted.     

Monitoring the Multi-Faceted Problem of Youth Violence: The Asian/Pacific Islander Youth Violence Prevention Center’s Surveillance System

Youth violence (YV) is a complex public health issue that spans geographic, ethnic, and socioeconomic lines. The Asian/Pacific Islander Youth Violence Prevention Center conducts qualitative and quantitative research on YV in Hawai'i. A critical element in YV prevention involves measuring YV and its risk-protective factors to determine the scope of the problem and to monitor changes across time. Under the Asian/Pacific Islander Youth Violence Prevention Center's (APIYVPC's) surveillance umbrella, a variety of methodologies are utilized. The major forms of active surveillance are a School-Wide Survey for youth, and a Safe Community Household Survey for adults. A variety of secondary data sources are accessed, such as the Centers for Disease Control and Prevention (Youth Risk Behavior Surveillance System), the Hawai'i State Department of the Attorney General, the Hawai'i State Department of Education, and the Hawai'i State Department of Health. State data are especially important for the Center, because most of these sources disaggregate ethnicity data for Asian Americans/Pacific Islanders. This paper details the surveillance methodologies utilized by the APIYVPC to monitor YV in one specific community and in Hawai'i, in comparison to the rest of the State and nation. Empirical results demonstrate the utility of each methodology and how they complement one another. Individually, each data source lends valuable information to the field of YV prevention; however, collectively, the APIYVPC's surveillance methods help to paint a more complete picture regarding violence rates and the relationship between YV and its risk-protective factors, particularly for minority communities.     

Public Health Research: Lost in Translation or Speaking the Wrong Language?

Public health leaders, like physicians, need to make decisions that impact health based on strong evidence. To generate useful evidence for public health leaders, research must focus on interventions that have potential to impact population-level health. Often policy and environmental changes are the interventions with the greatest potential impact on population health, but studying these is difficult because of limitations in the methods typically used and emphasized in health research. To create useful evidence for policy and environmental interventions, other research methods are needed, including observational studies, the use of surveillance data for evaluation, and predictive mathematical modeling. More emphasis is needed on these types of study designs by researchers, funding agencies, and scientific journals.     

How Useful Are Digital Health Terms for Outcomes Research? An ISPOR Special Interest Group Report

ObjectivesThis study aimed to review definitions of digital health and understand their relevance for health outcomes research. Four umbrella terms (digital health, electronic health, mobile health, and telehealth/telemedicine) were summarized in this article.MethodsPubMed/MEDLINE, Embase, Cochrane Library, and EconLit were searched from January 2015 to May 2020 for systematic reviews containing key Medical Subject Headings terms for digital health (n = 38) and synonyms of “definition.” Independent pairs of reviewers performed each stage of the review, with reconciliation by a third reviewer if required. A single reviewer consolidated each definition for consistency. We performed text analysis via word clouds and computed document frequency-and inverse corpus frequency scores.ResultsThe search retrieved 2610 records with 545 articles (20.9%) taken forward for full-text review. Of these, 39.3% (214 of 545) were eligible for data extraction, of which 134 full-text articles were retained for this analysis containing 142 unique definitions of umbrella terms (digital health [n = 4], electronic health [n = 36], mobile health [n = 50], and telehealth/telemedicine [n = 52]). Seminal definitions exist but have increasingly been adapted over time and new definitions were created. Nevertheless, the most characteristic words extracted from the definitions via the text analyses still showed considerable overlap between the 4 umbrella terms.ConclusionsTo focus evidence summaries for outcomes research purposes, umbrella terms should be accompanied by Medical Subject Headings terms reflecting population, intervention, comparator, outcome, timing, and setting. Ultimately a functional classification system is needed to create standardized terminology for digital health interventions denoting the domains of patient-level effects and outcomes.     

Disparities in Self-Reported Postpartum Depression among Asian,Hawaiian, and Pacific Islander Women in Hawaii: Pregnancy Risk Assessment Monitoring System (PRAMS), 2004–2007

Postpartum depression affects 10–20% of women and causes significant morbidity and mortality among mothers, children, families, and society, but little is known about postpartum depression among the individual Asian and Pacific Islander racial/ethnic groups. This study sought to indentify the prevalence of postpartum depression among common Asian and Pacific Islander racial/ethnic groups. Data from the Hawaii Pregnancy Risk Assessment and Monitoring System (PRAMS), a population-based surveillance system on maternal behaviors and experiences before, during, and after the birth of a live infant, were analyzed from 2004 through 2007 and included 7,154 women. Questions on mood and interest in activities since giving birth were combined to create a measure of Self-reported Postpartum Depressive Symptoms (SRPDS). A series of generalized logit models with maternal race or ethnicity adjusted for other sociodemographic characteristics evaluated associations between SRPDS and an intermediate level of symptoms as possible indicators of possible SRPDS. Of all women in Hawaii with a recent live birth, 14.5% had SRPDS, and 30.1% had possible SRPDS. The following Asian and Pacific Islander racial or ethnic groups were studied and found to have higher odds of SRPDS compared with white women: Korean (adjusted odds ratio [AOR] = 2.8;95% confidence interval [CI]: 2.0–4.0), Filipino (AOR = 2.2;95% CI: 1.7–2.8), Chinese (AOR = 2.0;95% CI: 1.5–2.7), Samoan (AOR = 1.9;95% CI: 1.2–3.2), Japanese (AOR = 1.6;95% CI: 1.2–2.2), Hawaiian (AOR = 1.7;95% CI: 1.3–2.1), other Asian (AOR = 3.3;95% CI: 1.9–5.9), other Pacific Islander (AOR = 2.2;95% CI: 1.5–3.4), and Hispanic (AOR = 1.9;95% CI: 1.1–3.4). Women who had unintended pregnancies (AOR = 1.4;95% CI: 1.2–1.6), experienced intimate partner violence (AOR = 3.7;95% CI: 2.6–5.5), smoked (AOR = 1.5;95% CI: 1.2–2.0), used illicit drugs (AOR = 1.9;95% CI: 1.3–3.9), or received Women, Infant, and Children (WIC) benefits during pregnancy (AOR = 1.4;95% CI: 1.2–2.6) were more likely to have SRPDS. Several groups also were at increased risk for possible SRPDS, although this risk was not as prominent as seen with the risk for SRPDS. One in seven women reported SRPDS, and close to a third reported possible SRPDS. Messages about postpartum depression should be incorporated into current programs to improve screening, treatment, and prevention of SRPDS for women at risk.     

Are Asian international medical students just rote learners?

A wide variety of countries are seeking to attract international medical students. This could be due to the fact that their universities not only receive the economic benefit from these students, but also because they recognise the issues of cultural diversity and pedagogical practice. This review paper draws on literature to understand more fully the learning process of Asian international students. Whereas views on learning are different across cultures, medical school teachers must understand how Asian international students learn based on their culture. Two general themes emerged from the literature review: firstly culture’s influence on learning and secondly memorisation versus understanding, both of which relate to the learning process of Asian international students. This study shows that Asian international students have a different approach to learning, which is not just about rote learning. Changes in attitudes towards Asian international students may stimulate the internationalisation of a more culturally sensitive form of medical education. The paper suggests further work on the area of appreciative thinking in order to identify the epistemological and ontological dimensions for a flexible approach to learning.     

Are Front-of-Pack Labels a Health Policy Tool?

To stem the increasing incidence of non-communicable diseases (NCDs) and obesity, front-of-pack labels (FOPLs) have been developed since 1989. Whereas several countries have already adopted one voluntarily, the European Community wants to harmonize an FOPL system that will be mandatory for all member states. The purpose of this narrative review is to describe what could be achieved or not by FOPLs, and to discuss if there is enough evidence to establish whether such labels are effective in modifying purchasing behavior, in directing individual dietary patterns towards a healthy and sustainable diet, and in reformulating food products by the food industry. Non-directive FOPLs, which are still under study, appear to be informative and well-accepted by consumers even if they require a cognitive effort. Conversely, directive FOPLs are supported by several studies, but they are mostly conducted in simulated scenarios and/or performed as retrospective studies. Nevertheless, directive FOPLs are rated as an intuitive tool, and they have demonstrated a high capacity to help consumers rank food products as more or less healthy. In conclusion, directive and non-directive FOPLs convey different messages. No FOPL individually can be considered exhaustive in relation to all the objectives outlined in this narrative review, and therefore, the development of a model synthesizing both messages is advisable. Many questions remain open, such as the possibility of reformulating pre-packaged products, how to deal with traditional products, and the impact on the incidence of NCDs and obesity. In the light of the complexity of factors that condition consumption choices and health, none of the current FOPLs can be considered a health policy tool on its own. The possibility of development remains open, but as the state of the art, these tools do not seem to be able to achieve all the European Community goals together. We can speculate that they could meet these goals only if they are integrated into a multi-tiered, structured health policy intervention.