Is Health Care a Luxury? New Evidence from OECD Data

Most research using cross-country data find income elasticities equal to or exceeding unity with respect to health expenditure. These conclusions might be confounded due to omitted variables bias and the presence of unobserved country and year specific determinants of per capita health expenditures. I obtain results supporting these hypotheses using recent (1990–98) data from fifteen OECD countries. Specifically, OLS coefficient estimates drop by more than 50% with the use of two-way fixed effects models and the inclusion of various demand and supply based determinants of per capita health expenditures, implying income elasticities of between 0.21 and 0.51. Weighted Least Squares (WLS), Generalized Least Squares (GLS) and Instrumental Variables (IV) estimation yield similar results.JEL classification: I18     

Factors Determining Children’s Private Health Insurance Enrolment and Healthcare Utilization Patterns: Evidence From the 2008 to 2011 Health Panel Data

Objectives:

Parental socioeconomic status (SES) exerts a substantial influence on children’s health. The purpose of this study was to examine factors determining children’s private health insurance (PHI) enrolment and children’s healthcare utilization according to PHI coverage.

Methods:

Korea Health Panel data from 2011 (n=3085) was used to explore the factors determining PHI enrolment in children younger than 15 years of age. A logit model contained health status and SES variables for both children and parents. A fixed effects model identified factors influencing healthcare utilization in children aged 10 years or younger, using 2008 to 2011 panel data (n=9084).

Results:

The factors determining children’s PHI enrolment included children’s age and sex and parents’ educational status, employment status, and household income quintile. PHI exerted a significant effect on outpatient cost, inpatient cost, and number of admissions. Number of outpatient visits and total length of stay were not affected by PHI status. The interaction between PHI and age group increased outpatient cost significantly.

Conclusions:

Children’s PHI enrolment was influenced by parents’ SES, while healthcare utilization was affected by health and disability status. Therefore, the results of this study suggest disparities in healthcare utilization according to PHI enrollment.     

Can Administrative Data Identify Incident Cases of Colorectal Cancer? A Comparison of Two Health Plans

Although commercial health insurance records are a potentially valuable source of data for cancer outcomes studies, the accuracy of administrative codes for identifying persons with cancer is unknown. The objective of this study was to determine the accuracy of administrative codes for identifying persons with newly diagnosed colorectal cancer. The Washington state SEER cancer registry was linked with enrollment files from two large commercial health plans: a fee-for-service plan and a staff-model HMO with combined enrollment of more than 1.7 million. The accuracy of ICD-9 codes for colorectal cancer for enrollees diagnosed between January 1, 1996 and December 31, 1999 was compared for each plan, using SEER records as the “gold standard.”The positive predictive value of administrative codes was 33.4% at the fee-for-service plan and 30.1% at the HMO plan (difference p = 0.26). The overall sensitivity of administrative codes was 91.7% at the fee-for-service plan and 93.1% at the HMO plan (difference p = 0.09). Positive predictive values were higher for inpatient records, while sensitivity was higher for outpatient records and for those with more advanced tumor stages at diagnosis. In conclusion, administrative records for identifying new cases of colorectal cancer in two large health plansFunding Source: Aetna Research Foundation Quality Care Research Fund Award; Dr. Ramsey was also the recipient of the Howard Temin Career Development Award (KO1-CA76189) from the National Cancer Institute. showed poor positive predictive value but high sensitivity. Accuracy did not vary substantially by insurance plan. Researchers without tumor registry or other high-quality sources to verify records should not rely on administrative data alone from commercial health plans to identify incident colorectal cancer cases.     

Occupational Health—Public Health Service

Thirteen cases of sudden pupil dilatation were observed among civilians in Rotterdam in the course of two days. Except for one person, all victims had been in the neighborhood of a quay where a ship had been unloading Duboisia myoporoides leaves from Australia. Two workmen, who had also suffered from unilateral mydriasis, gave the clue to the ship from which the dust originated. The material was apparently too coarsely divided and too heavy to cause more cases of mydriasis.     

Health Information–Seeking Behaviors,Health Indicators,and Health Risks

Objectives. We examined how different types of health information–seeking behaviors (HISBs)—no use, illness information only, wellness information only, and illness and wellness information combined—are associated with health risk factors and health indicators to determine possible motives for health information seeking.Methods. A sample of 559 Seattle–Tacoma area adults completed an Internet-based survey in summer 2006. The survey assessed types of HISB, physical and mental health indicators, health risks, and several covariates. Covariate-adjusted linear and logistic regression models were computed.Results. Almost half (49.4%) of the sample reported HISBs. Most HISBs (40.6%) involved seeking a combination of illness and wellness information, but both illness-only (28.6%) and wellness-only (30.8%) HISBs were also widespread. Wellness-only information seekers reported the most positive health assessments and the lowest occurrence of health risk factors. An opposite pattern emerged for illness-only information seekers.Conclusions. Our findings reveal a unique pattern of linkages between the type of health information sought (wellness, illness, and so on) and health self-assessment among adult Internet users in western Washington State. These associations suggest that distinct health motives may underlie HISB, a phenomenon frequently overlooked in previous research.Internet access is a widely available technology in the United States.^1,2 Among the variety of online activities, searching for and using health information appear to be particularly prevalent, undertaken by between 40% and 70% of US adults.^1,3–7 Hoping to take advantage of the Internet''s potential,⁸ public health practitioners, clinicians, and researchers have contributed to an emerging literature detailing characteristics of individuals engaging in health information–seeking behaviors (HISBs), exploring motives for engaging in HISBs, and documenting the types of health and medical information being sought.^9–11Previous HISB research has primarily examined how patients seek and use health information across diverse health care contexts, yielding the recurrent observation that individuals striving to deal with stressful health challenges—such as a recent illness diagnosis or chronic disease management—were strongly motivated to engage in Internet HISBs.^9,10,12–14 Several population-based studies,^9,15–21 many of which have also conceptualized HISB primarily as “a key coping strategy in health-promotive activities and psychosocial adjustment to illness,”^22(p1006) have yielded corresponding evidence. It should be recognized, however, that a cluster of these studies^17–19,21 were informed by a common evidentiary resource (i.e., 2000–2002 Pew Internet and American Life Project data), potentially exaggerating the apparent consistency of the “disease and illness” motivation for HISB.Although informative, the predominant focus in previous research on a “disease and illness” motive for HISB has left the hypothesis that healthy individuals may pursue information to maximize positive health outcomes essentially unexplored.²³ A small but growing body of findings suggests, however, that many individuals actively seek out wellness information (e.g., information promoting a healthy lifestyle). Specifically, emerging evidence reveals a positive association between a self-reported “health-conscious” or “health-active” orientation and engaging in wellness information–seeking behavior.^20,24–27 Indeed, since 2000, the proportion of American adults reporting that they have looked online for diet, exercise, or fitness information has increased substantially and generally exceeds the proportion seeking online information about disease and illness topics (e.g., cancer, arthritis, diabetes).^28,29Pandey et al. have asked, “Is it a disease or an affliction that motivates the use of the internet, or is it that the well and the healthy use the internet in a proactive manner?”^23(p180) As this question highlights, the nearly exclusive focus in previous research on Internet HISB as a response to health-threatening situations has left questions regarding the potential positive health outcomes motivating HISB unanswered.²² We aimed to fill this knowledge gap and further expand understanding of linkages between HISB and health perceptions and behaviors. Specifically, we compared mental and physical health indicators and health risk factors across 4 discrete categories of Internet HISBs—no use, illness content only, wellness content only, and illness and wellness content combined—among a sample of adults in the Seattle–Tacoma, Washington area to explore motivations of HISB.     

A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning–Based Risk Prediction Models

ObjectivesWe propose a framework of health outcomes modeling with dynamic decision making and real-world data (RWD) to evaluate the potential utility of novel risk prediction models in clinical practice. Lung transplant (LTx) referral decisions in cystic fibrosis offer a complex case study.MethodsWe used longitudinal RWD for a cohort of adults (n = 4247) from the Cystic Fibrosis Foundation Patient Registry to compare outcomes of an LTx referral policy based on machine learning (ML) mortality risk predictions to referral based on (1) forced expiratory volume in 1 second (FEV₁) alone and (2) heterogenous usual care (UC). We then developed a patient-level simulation model to project number of patients referred for LTx and 5-year survival, accounting for transplant availability, organ allocation policy, and heterogenous treatment effects.ResultsOnly 12% of patients (95% confidence interval 11%-13%) were referred for LTx over 5 years under UC, compared with 19% (18%-20%) under FEV₁ and 20% (19%-22%) under ML. Of 309 patients who died before LTx referral under UC, 31% (27%-36%) would have been referred under FEV₁ and 40% (35%-45%) would have been referred under ML. Given a fixed supply of organs, differences in referral time did not lead to significant differences in transplants, pretransplant or post-transplant deaths, or overall survival in 5 years.ConclusionsHealth outcomes modeling with RWD may help to identify novel ML risk prediction models with high potential real-world clinical utility and rule out further investment in models that are unlikely to offer meaningful real-world benefits.     

Health 健康新概念

全世界医学最尖端研究到瘦身、抗衰老、心理健康和美肌法，为你呈上值得一看的最新信息!     

Life＆Health

独一无二的“头发”钻石，只为你和他 俄罗斯的科学家最近宣布：他们已经成功地用头发做出了和天然钻石看上去毫无分别的人工钻石!而且，最让恋人们心动的是，由于头发具有像指纹一样的特异性，不同的头发合成出的钻石在光线下的特性就不同     

Prevalence and Associated Factors of Tinnitus: Data From the Korean National Health and Nutrition Examination Survey 2009–2011

Background

Tinnitus is a common condition and frequently can be annoying to affected individuals. We investigated the prevalence and associated factors for tinnitus in South Korea using the data from the Korea National Health and Nutrition Examination Surveys (KNHANES) during 2009–2011.

Methods

KNHANES is a cross-sectional survey of the civilian, non-institutionalized population of South Korea (n = 21 893). A field survey team that included an otolaryngologist moved with a mobile examination unit and performed interviews and physical examinations.

Results

Among the population over 12 years of age, the prevalence of any tinnitus was 19.7% (95% CI 18.8%–20.6%). Tinnitus was more prevalent in women, and the prevalence rate increased with age (P < 0.001). Among those with any tinnitus, 29.3% (95% CI 27.3%–31.3%) experienced annoying tinnitus that affected daily life. Annoying tinnitus also increased with age (P < 0.001), but no sex difference was demonstrated (P = 0.25). In participants aged 40 years or older, age, quality of life, depressive mood, hearing loss, feeling of dizziness, and rhinitis were associated with any tinnitus (P < 0.05). Age, hearing loss, history of cardiovascular disease, and stress were associated with annoying tinnitus (P < 0.05).

Conclusions

Tinnitus is a common condition, and a large population suffers from annoying tinnitus in South Korea. Public understanding of associated factors might contribute to better management of tinnitus.Key words: tinnitus, epidemiology, associated factor, South Korea     

Online Tailored Weight Management in the Worksite: Does It Make a Difference in Biennial Health Risk Assessment Data?

Overweight and obesity are directly associated with heart disease, cancer, and diabetes and pose a serious cost-related challenge to employers. As most of the rise in health care spending is traced to the rise in population risk factors, maintaining or reducing the prevalence of disease represents a strategy with large potential payoffs. Tailored communication is a promising communication strategy for influencing health behavior change, including behaviors for weight management. Much of the tailored communication research is based on communication developed for research purposes, yet access to commercially available tailored health programs for worksites is growing. As health risk assessments are increasingly used for setting health programming and insurance priorities in U.S. workplaces and worksites have opportunities to purchase tailored programs, it is important to understand the effect of tailored communication on health risk assessment data. The purpose of this study was to evaluate the long-term effects of a commercially available web-based tailored weight management program on employee weight, body mass index, blood pressure, cholesterol, and blood glucose. The authors compared health risk assessment data at baseline and 2 years later from 101 overweight and obese employees who participated in the tailored weight management program and 137 overweight and obese employees who did not participate in the program. Results show that there were significant mean differences in systolic blood pressure, HDL cholesterol, and blood sugar levels, but each in a clinically undesirable direction. More research is needed to understand the effect of tailored programs used in worksite health promotion.     

Public Health’s Falling Share of US Health Spending

We examined trends in US public health expenditures by analyzing historical and projected National Health Expenditure Accounts data. Per-capita public health spending (inflation-adjusted) rose from $39 in 1960 to $281 in 2008, and has fallen by 9.3% since then. Public health’s share of total health expenditures rose from 1.36% in 1960 to 3.18% in 2002, then fell to 2.65% in 2014; it is projected to fall to 2.40% in 2023. Public health spending has declined, potentially undermining prevention and weakening responses to health inequalities and new health threats.Despite widespread rhetorical endorsement of prevention, public health programs have received less attention and far less funding than personal medical services.1 The 2010 Affordable Care Act (Pub L No. 111–148) mandated insurance coverage of clinical preventive services such as colon cancer screening and contraception. In addition, it earmarked funding for a new Prevention and Public Health Fund, buoying hopes for an expansion of public health spending.In this brief report, we analyze trends in public health spending over the past 53 years, as well as projected trends in the coming decade.     

Where Is Women's Health in Maternal and Child Health?

Maternal and Child Health Journal -     

Race,Ethnicity, and Self-Reported Hypertension: Analysis of Data From the National Health Interview Survey, 1997–2005

Objective. I estimated the association between race and self-reported hypertension among Hispanics and non-Hispanics and determined whether this association was stronger among non-Hispanics.Methods. With data from the 1997–2005 National Health Interview Survey, I used logistic regression to estimate the strength of the association between race/ethnicity and self-reported hypertension among US adults.Results. The overall prevalence of self-reported hypertension was 24.5%, with lower prevalence among Hispanics (16.7%) than among non-Hispanics (25.2%; P < .01). Blacks, regardless of ethnicity, had the highest prevalence. Compared with non-Hispanic Whites, non-Hispanic Blacks had 48% (odds ratio [OR] = 1.48; 95% confidence interval [CI] = 1.41, 1.55) greater odds of reporting hypertension; Hispanic Whites had 23% (OR = 0.81; 95% CI = 0.76, 0.88) lower odds. There was no difference in the strength of the association between race and self-reported hypertension observed among non-Hispanics (OR for Blacks = 1.47) and among Hispanics (OR for Blacks = 1.20; for interaction, P = 0.43).Conclusions. The previously reported hypertension advantage of Hispanics holds for Hispanic Whites only. As Hispanics continue their rapid growth in the United States, race may have important implications on their disease burden, because most US health disparities are driven by race and its socially patterned experiences.Hypertension affects more than 65 million US adults¹ and is a major risk factor for cardiovascular disease (CVD).^2,3 The prevalence of hypertension in the US population increased by 30% between the third National Health and Nutrition Examination Survey (NHANES III, 1988–1994) and NHANES 1999–2000.¹ Previous studies have consistently reported that, compared with non-Hispanic Whites, Hispanics have a lower prevalence of hypertension and that non-Hispanic Blacks have a higher prevalence of hypertension.^1,2,4–7 However, these studies focused mostly on Mexican Americans, ignoring the heterogeneity of the Hispanic population. For example, because of their colonization patterns, Hispanics can be of any race (i.e., White, Black, or some other race).⁸ Despite the impact of race on health in US society^9–11 and the projected growth of the Hispanic population,^12–14 there is a dearth of knowledge addressing the relationship between race and health among Hispanics. However, the evidence that does exist parallels findings observed among non-Hispanics: Hispanic Blacks experience worse health outcomes than do Hispanic Whites.^15–18 Thus, the investigation of race and health outcomes in Hispanics is imperative.Hypertension has been attributed to obesity, sodium and potassium intake, physical inactivity, alcohol consumption, smoking, and psychosocial stress.³ Of these, only psychosocial stress has been shown to be unequally distributed across racial/ethnic groups. Research suggests that racial discrimination—a trigger of psychosocial stress—is common in the everyday life of non-Hispanic Blacks and may lead to CVD.^19–26 Given this, and consistent with the historical pattern of disadvantage among non-Hispanic Blacks,^9,11,27,28 it is possible that Hispanic Blacks could be exposed to the same deleterious experiences of racial discrimination and racism as non-Hispanic Blacks because of the salience and social visibility associated with their race or dark skin color. These experiences may lead to disadvantaged life chances, which then translate into poorer health.The availability of 9 years of data from the National Health Interview Survey (NHIS, 1997–2005) afforded the opportunity to investigate the association between race and self-reported hypertension in Hispanics and non-Hispanics before and after adjustment for selected characteristics and known risk factors and to compare the strength of this association in Hispanics and non-Hispanics. If race as a social construct channels Hispanic Blacks to exposures detrimental to health as it does for non-Hispanic Blacks, the lower odds of hypertension for Hispanics observed in previous studies would apply only to Hispanic Whites whereas Hispanic Blacks would have odds of hypertension similar to those of non-Hispanic Whites or intermediate between non-Hispanic Whites and non-Hispanic Blacks. However, the magnitude of the association between race and hypertension would be stronger among non-Hispanics than among Hispanics.     

Tweeting as Health Communication: Health Organizations’ Use of Twitter for Health Promotion and Public Engagement

This study examined how major health organizations use Twitter for disseminating health information, building relationships, and encouraging actions to improve health. The sampled organizations were the American Heart Association, American Cancer Society, and American Diabetes Association. A content analysis was conducted on 1,583 tweets to examine these organizations’ use of Twitter's interactive features and to understand the message functions and topics of their tweets. The numbers of retweets and favorites were also measured as engagement indicators and compared by different message functions. The results revealed that all of the organizations posted original tweets most, but they differed in the degree to which they used the retweet and reply functions. Hashtags and hyperlinks were the most frequently used interactive tools. The majority of the tweets were about organization-related topics, whereas personal health–related tweets represented a relatively small portion of the sample. Followers were most likely to like and retweet personal health action-based messages.