The Use of Traditional Health Care Among Indonesian Family

Background: The use of traditional medicine and complementary and alternative medicine has increased significantly over the past few years. The main reasons for the increasing use of traditional medicine is a growing trend for patients to take a more proactive approach to their own health and to seek out different forms of self-care. This study aimed to investigate the dominant risk factors that related to use of traditional health care among Indonesian family Methods: The study used household data from 2013 National Health Survey Indonesia. Using cox regression, we then could present dominant risk factors that related to use of traditional health care among Indonesian family Results: Total subjects had been analyzed were 294,959 subjects. The proportion of those who used of traditional health care were 30,4% (78,775/294,959). Dominant risk factors related to used of traditional health care were type area, level of education, employment status, level of economic, and knowing about the availability of health care. Compared with those who were in rural, those who were in urban had 14% more likely to used of traditional health care. Household who had higher education level had 85% more likely to used of traditional health care. Household who were employed had 18% more likely to used of traditional health care. Household who had higher economic level had 45% more likely to used of traditional health care. Furthermore, household who knowed about the availability of health care had 32% more likely to used of traditional health care. Conclusion: Household subjects who were in urban area, employed, had higher level of education and economic, knowed the availability of health services were more likely to used of traditional health car

Predictors of health care use in Australian cancer patients

Objective: The purpose of this study is to measure health care utilization in Australian cancer patients based on their demographic, geographic and socioeconomic backgrounds. Method: A total of 13,609 participants (aged 15 and over) from 7,230 households were interviewed as part of Wave 13 of the national Household, Income and Labour Dynamics in Australia (HILDA) survey. Five hundred and seventeen participants indicated a current cancer diagnosis with 90% of those receiving active treatment at the time of interview. Independent sample t-tests, Pearson Chi-sq tests, Kruskal‒Wallis H test, binary logistic regression and a zero-inflated Poisson regression were used to examine inequality in health care use. Results: Demographic and sociocultural factors such as advancing age, gender, low income, low education status, rurality, no private health insurance, increased psychological distress and less access to specialist care are associated with lower health care utilization among cancer patients. However, models of care such as general practitioner-led cancer care is preferable in younger individuals with cancer, while accessing specialist care is associated with lower rates of hospitalization and higher levels of psychological distress increases hospital length of stay. Conclusions: The findings of lower health care utilization by those cancer patients with characteristics of disadvantage have implications for policy development and intervention design. Broadly, policies targeting structural social inequities are likely to increase health care utilization among the most affected/disadvantaged populations. Further investigation is needed to identify potential links between health care utilization and cancer outcomes as a step toward targeted interventions for improving outcomes in the adversely affected groups

Unique health care utilization patterns in a homeless population in Ghent

Background: Existing studies concerning the health care use of homeless people describe higher utilisation rates for hospital-based care and emergency care, and lower rates for primary care by homeless people compared to the general population. Homeless people are importantly hindered and/or steered in their health care use by barriers directly related to the organisation of care. Our goal is to describe the accessibility of primary health care services, secondary care and emergency care for homeless people living in an area with a universal primary health care system and active guidance towards this unique system. Methods: Observational, cross-sectional study design. Data from the Belgian National health survey were merged with comparable data collected by means of a face-to-face interview from homeless people in Ghent. 122 homeless people who made use of homeless centres and shelters in Ghent were interviewed using a reduced version of the Belgian National Health survey over a period of 5 months. 2-dimensional crosstabs were built in order to study the bivariate relationship between health care use (primary health care, secondary and emergency care) and being homeless. To determine the independent association, a logistic model was constructed adjusting for age and sex. Results and Discussion: Homeless people have a higher likelihood to consult a GP than the non-homeless people in Ghent, even after adjusting for age and sex. The same trend is demonstrated for secondary and emergency care. Conclusions: Homeless people in Ghent do find the way to primary health care and make use of it. It seems that the universal primary health care system in Ghent with an active guidance by social workers contributes to easier GP access

International Profiles of Health Care Systems, 2012

This publication presents overviews of the health care systems of Australia, Canada, Denmark, England, France, Germany, Japan, Iceland, Italy, the Netherlands, New Zealand, Norway, Sweden, Switzerland, and the United States. Each overview covers health insurance, public and private financing, health system organization, quality of care, health disparities, efficiency and integration, care coordination, use of health information technology, use of evidence-based practice, cost containment, and recent reforms and innovations. In addition, summary tables provide data on a number of key health system characteristics and performance indicators, including overall health care spending, hospital spending and utilization, health care access, patient safety, care coordination, chronic care management, disease prevention, capacity for quality improvement, and public views

Health care resouce use and stroke outcome

Background and Purpose: Outcome in patients hospitalized for acute stroke varies considerably between populations. Within the framework of the GAIN International trial, a large multicenter trial of a neuroprotective agent (gavestinel, glycine antagonist), stroke outcome in relation to health care resource use has been compared in a large number of countries, allowing for differences in case mix. Methods: This substudy includes 1,422 patients in 19 countries grouped into 10 regions. Data on prognostic variables on admission to hospital, resource use, and outcome were analyzed by regression models. Results: All results were adjusted for differences in prognostic factors on admission (NIH Stroke Scale, age, comorbidity). There were threefold variations in the average number of days in hospital/institutional care (from 20 to 60 days). The proportion of patients who met with professional rehabilitation staff also varied greatly. Three-month case fatality ranged from 11% to 28%, and mean Barthel ADL score at three months varied between 64 and 73. There was no relationship between health care resource use and outcome in terms of survival and ADL function at three months. The proportion of patients living at home at three months did not show any relationship to ADL function across countries. Conclusions: There are wide variations in health care resource use between countries, unexplained by differences in case mix. Across countries, there is no obvious relationship between resource use and clinical outcome after stroke. Differences in health care traditions (treatment pathways) and social We thank the coinvestigators and research staff at the participating centers for their support. Glaxo Wellcome sponsored the GAIN International trial, supported the present analyses and reviewed the final draft of the article

International Profiles of Health Care Systems, 2011

This publication presents overviews of the health care systems of Australia, Canada, Denmark, England, France, Germany, Japan, Italy, the Netherlands, New Zealand, Norway, Sweden, Switzerland, and the United States. Each overview covers health insurance, public and private financing, health system organization, quality of care, health disparities, efficiency and integration, use of health information technology, use of evidence-based practice, cost containment, and recent reforms and innovations. In addition, summary tables provide data on a number of key health system characteristics and performance indicators, including overall health care spending, hospital spending and utilization, health care access, patient safety, care coordination, chronic care management, disease prevention, capacity for quality improvement, and public views

Dental care use by immigrant Canadians in Ontario: a cross-sectional analysis of the 2014 Canadian Community Health Survey (CCHS)

Background: Ontario is home to the largest number of immigrants in Canada. However, very little is known about their dental care utilization patterns. The purpose of this study is to determine the prevalence of poor dental health care use among the immigrant population of Ontario and how various socio-demographic, socio-economic and health-related factors are associated with it. Methods: Analysis was performed on a total of 4208 Ontarian immigrants who participated in the dental care module of the 2014 cycle of the Canadian Community Health Survey. Poor dental care use was defined by the two variables: not visiting the dentist in the past year and/or visiting the dentist only for emergency purposes. Multivariable logistic regression was performed to assess the associations between the two outcomes and the socio-demographic, socio-economic and health-related factors. Results: Thirty three percent of immigrants reported not visiting the dentist in the past year and 25% reported visiting only for emergencies. The leading components associated with poor dental care utilization were being a new immigrant, of male gender, having low educational attainment, low household income and lacking dental insurance. Conclusions: This study is the first to highlight oral health care use patterns amongst immigrants in Ontario. Given that a large proportion of the immigrant population in Ontario have poor dental care use, education and outreach programs informing incoming immigrants of preventative dental care may improve overall dental health. Keywords: Oral health, Dental care use, Immigrants, OntarioYork University Librarie

Age-related difference in health care use and costs of patients with chronic kidney disease and matched controls

_Background_ The financial burden of chronic kidney disease (CKD) is increasing due to the ageing population and increased prevalence of comorbid diseases. Our aim was to evaluate age-related differences in health care use and costs in Stage G4/G5 CKD without renal replacement therapy (RRT), dialysis and kidney transplant patients and compare them to the general population. _Methods_ Using Dutch health care claims, we identified CKD patients and divided them into three groups: CKD Stage G4/G5 without RRT, dialysis and kidney transplantation. We matched them with two controls per patient. Total health care costs and hospital costs unrelated to CKD treatment are presented in four age categories (19–44, 45–64, 65–74 and ≥75 years). _Results_ Overall, health care costs of CKD patients ≥75 years of age were lower than costs of patients 65–74 years of age. In dialysis patients, costs were highest in patients 45–64 years of age. Since costs of controls increased gradually with age, the cost ratio of patients versus controls was highest in young patients (19–44 years). CKD patients were in greater need of additional specialist care than the general population, which was already evident in young patients. _Conclusion_ Already at a young age and in the earlier stages of CKD, patients are in need of additional care with corresponding health care costs far exceeding those of the general population. In contrast to the general population, the oldest patients (≥75 years) of all CKD patient groups have lower costs than patients 65–74 years of age, which is largely explained by lower hospital and medication costs

How does searching for health information on the Internet affect individuals' demand for health care services?

The emergence of the Internet made health information, which previously was almost exclusively available to health professionals, accessible to the general public. Access to health information on the Internet is likely to affect individuals' health care related decisions. The aim of this analysis is to determine how health information that people obtain from the Internet affects their demand for health care. I use a novel data set, the U.S. Health Information National Trends Survey (2003–07), to answer this question. The causal variable of interest is a binary variable that indicates whether or not an individual has recently searched for health information on the Internet. Health care utilization is measured by an individual's number of visits to a health professional in the past 12 months. An individual's decision to use the Internet to search for health information is likely to be correlated to other variables that can also affect his/her demand for health care. To separate the effect of Internet health information from other confounding variables, I control for a number of individual characteristics and use the instrumental variable estimation method. As an instrument for Internet health information, I use U.S. state telecommunication regulations that are shown to affect the supply of Internet services. I find that searching for health information on the Internet has a positive, relatively large, and statistically significant effect on an individual's demand for health care. This effect is larger for the individuals who search for health information online more frequently and people who have health care coverage. Among cancer patients, the effect of Internet health information seeking on health professional visits varies by how long ago they were diagnosed with cancer. Thus, the Internet is found to be a complement to formal health care rather than a substitute for health professional services

Effect of Internet Health Information on Health Care Use

This study estimates the effect of Internet health information on health care utilisation. The causal variable of interest is a binary variable that indicates whether or not an individual has used the Internet to search for health information. Health care utilisation is measured by an individual's number of visits to a health professional. I use the variation in telecommunication laws of U.S. states as a novel instrument to identify the causal effect. The analysis results show that, on average, using the Internet as health information source increases the utilisation of health care. The effect is quantitatively large and precisely estimated. An ordinary least squares regression underestimates the effect, even after controlling for a number of observed individual characteristics.Health care; Health information; Internet