استكشف المجموعة الواسعة من العناوين المتاحة.

In Lao People's Democratic Republic (PDR), community-based health insurance (CBHI) is the only voluntary insurance scheme; it typically targets self-employed people, most of whom reside in rural areas and are dependent on agricultural activities for subsistence. However, until very recently, the enrollment rate has fallen short and failed to reach a large percentage of the target group. To promote the CBHI scheme and increase demand, some supporting components should be considered for inclusion together with the health infrastructure component. This paper provides empirical evidence that the benefit package components of hypothetical CBHI schemes have causal effects on enrollment probabilities. Furthermore, we examine the distribution of willingness to pay (WTP) in response to policy changes based on a sample of 5,800 observations. A randomized conjoint experiment is conducted in rural villages in Savannakhet Province, Lao PDR, to elicit stated preference data. Each respondent ranks three options-two hypothetical alternatives and the CBHI status quo scheme. The levels of seven attributes-insurance coverage for medical consultations, hospitalizations, traffic accidents, pharmaceuticals and transportation; premiums; and prepaid discounts-are randomly and simultaneously assigned to the two alternatives. The findings suggest that the average WTP is at least as large as 10.9% of the per capita income of those who live in rural areas, which is higher than the WTP for health insurance averaged across low- and middle-income countries (LMICs) in the literature. The component of round-trip transportation insurance coverage has a significant effect on WTP distribution, particularly increasing the share of the highest bin. Therefore, the low CBHI scheme enrollment rate in Lao PDR does not necessarily imply low demand among the targeted population, as the finding from the WTP analysis illustrates potential demand for the CBHI scheme. Specifically, if transportation is addressed, enrollment is likely to significantly increase.

In 2014, the Joint United Nations Programme on HIV/AIDS (UNAIDS) set the 90-90-90 targets: that 90% of people living with HIV know their HIV status, that 90% of those who know their HIV-positive status are on antiretroviral therapy (ART), and that 90% of those on treatment are virally suppressed. The aim was to reach these targets by 2020. We assessed the feasibility of achieving the first two targets, and the corresponding 81% ART coverage target, as part of the HIV Prevention Trials Network (HPTN) 071 Population Effects of Antiretroviral Therapy to Reduce HIV Transmission (PopART) community-randomized trial. The study population was individuals aged ≥15 years living in 14 urban and peri-urban \"PopART intervention\" communities in Zambia and South Africa (SA), with a total population of approximately 600,000 and approximately 15% adult HIV prevalence. Community HIV care providers (CHiPs) delivered the PopART intervention during 2014-2017. This was a combination HIV prevention package including universal home-based HIV testing, referral of HIV-positive individuals to government HIV clinic services that offered universal ART (Arm A) or ART according to national guidelines (Arm B), and revisits to HIV-positive individuals to support linkage to HIV care and retention on ART. The intervention was delivered in 3 \"rounds,\" each about 15 months long, during which CHiPs visited all households and aimed to contact all individuals aged ≥15 years at least once. In Arm A in Round 3 (R3), 67% (41,332/61,402) of men and 86% (56,345/65,896) of women in Zambia and 56% (17,813/32,095) of men and 71% (24,461/34,514) of women in SA participated in the intervention, among 193,907 residents aged ≥15 years. Following participation, HIV status was known by 90% of men and women in Zambia and by 78% of men and 85% of women in SA. The median time from CHiP referral of HIV-positive individuals to ART initiation was approximately 3 months. By the end of R3, an estimated 95% of HIV-positive women and 85% of HIV-positive men knew their HIV status, and among these individuals, approximately 90% of women and approximately 85% of men were on ART. ART coverage among all HIV-positive individuals was approximately 85% in women and approximately 75% in men, up from about 45% at the start of the study. ART coverage was lowest among men aged 18 to 34 and women aged 15 to 24 years, and among mobile individuals/in-migrants. Findings from Arm B were similar. The main limitations to our study were that estimates of testing and treatment coverage among men relied on considerable extrapolation because, in each round, approximately one-third of men did not participate in the PopART intervention; that our findings are for a service delivery model that was relatively intensive; and that we did not have comparable data from the 7 \"standard-of-care\" (Arm C) communities. Our study showed that very high HIV testing and treatment coverage can be achieved through persistent delivery of universal testing, facilitated linkage to HIV care, and universal treatment services. The ART coverage target of 81% was achieved overall, after 4 years of delivery of the PopART intervention, though important gaps remained among men and young people. Our findings are consistent with previously reported findings from southern and east Africa, extending their generalisability to urban settings with high rates of in-migration and mobility and to Zambia and SA. ClinicalTrials.gov NCT01900977.

ABSTRACT BACKGROUND Latinos are the largest minority group in the United States and experience persistent disparities in access to and quality of health care. OBJECTIVES (1) To determine the relationship between nativity/immigration status and self-reported quality of care and preventive care. (2) To assess the impact of a usual source of health care on receipt of preventive care among Latinos. DESIGN Using cross-sectional data from the 2007 Pew Hispanic Center/Robert Wood Johnson Foundation Hispanic Healthcare Survey, a nationally representative telephone survey of 4,013 Latino adults, we compared US-born Latinos with foreign-born Latino citizens, foreign-born Latino permanent residents and undocumented Latinos. We estimated odds ratios using separate multivariate ordered logistic models for five outcomes: blood pressure checked in the past 2 years, cholesterol checked in the past 5 years, perceived quality of medical care in the past year, perceived receipt of no health/health-care information from a doctor in the past year, and language concordance. RESULTS Undocumented Latinos had the lowest percentages of insurance coverage (37% vs 77% US-born, P  < 0.001), usual source of care (58% vs 79% US-born, P  < 0.001), blood pressure checked (67% vs 87% US-born, P  < 0.001), cholesterol checked (56% vs 83% US-born, P  < 0.001), and reported excellent/good care in the past year (76% vs 80% US-born, P  < 0.05). Undocumented Latinos also reported the highest percentage receiving no health/health-care information from their doctor (40% vs 20% US-born, P  < 0.001) in the past year. Adjusted results showed that undocumented status was associated with lower likelihood of blood pressure checked in the previous 2 years (OR = 0.60; 95% CI, 0.43–0.84), cholesterol checked in the past 5 years (OR = 0.62; 95% CI, 0.39–0.99), and perceived receipt of excellent/good care in the past year (OR = 0.56; 95% CI, 0.39–0.77). Having a usual source of care increased the likelihood of a blood pressure check in the past 2 years and a cholesterol check in the past 5 years. CONCLUSION In this national sample, undocumented Latinos were less likely to report receiving blood pressure and cholesterol level checks, less likely to report having received excellent/good quality of care, and more likely to receive no health/health-care information from doctors, even after adjusting for potential confounders. Our study shows that differences in nativity/immigration status should be taken into consideration when we discuss perceived quality of care among Latinos.

By September 2015, a total of 29 states and Washington, D.C., were participating in the ACA Medicaid expansion. During year 2 after implementation, the expansion was associated with substantial reductions in rates of uninsurance and in reports of inability to afford health care. The Affordable Care Act (ACA) expanded Medicaid eligibility to persons earning up to 138% of the federal poverty level, as part of the largest expansion of coverage to nonelderly adults since the 1960s. Although the expansion was originally intended to be enacted nationally, a 2012 U.S. Supreme Court decision made it optional for states. A total of 24 states decided not to expand in 2014, which affected 6.7 million uninsured low-income adults who otherwise would have gained eligibility. 1 Since 2014, an additional 5 states have implemented expansions, although 19 states still have not adopted the expansion as of January 2017. . . .

We examined the effect of the expansion of Medicaid eligibility under the Affordable Care Act on health insurance coverage and labor supply of low-educated and low-income adults. We found that the Medicaid expansions were associated with large increases in Medicaid coverage, for example, 50 percent among childless adults, and corresponding decreases in the proportion uninsured. There was relatively little change in private insurance coverage, although the expansions tended to decrease such coverage slightly. In terms of labor supply, estimates indicated that the Medicaid expansions had little effect on work effort despite the substantial changes in health insurance coverage. Most estimates suggested that the expansions increased work effort, although not significantly.

US health care spending increased 5.3 percent to $3.0 trillion in 2014. On a per capita basis, health spending was $9,523 in 2014, an increase of 4.5 percent from 2013. The share of gross domestic product devoted to health care spending was 17.5 percent, up from 17.3 percent in 2013. The faster growth in 2014 that followed five consecutive years of historically low growth was primarily due to the major coverage expansions under the Affordable Care Act, particularly for Medicaid and private health insurance, which contributed to an increase in the insured share of the population. Additionally, the introduction of new hepatitis C drugs contributed to rapid growth in retail prescription drug expenditures, which increased by 12.2 percent in 2014. Spending by the federal government grew at a faster rate in 2014 than spending by other sponsors of health care, leading to a 2-percentage-point increase in its share of total health care spending between 2013 and 2014.

In the past decade, the Government of China initiated health-care reforms to achieve universal access to health care by 2020. We assessed trends in health-care access and financial protection between 2003, and 2011, nationwide. We used data from the 2003, 2008, and 2011 National Health Services Survey (NHSS), which used multistage stratified cluster sampling to select 94 of 2859 counties from China's 31 provinces and municipalities. The 2011 survey was done with a subset of the NHSS sampling frame to monitor key indicators after the national health-care reforms were announced in 2009. Three sets of indicators were chosen to measure trends in access to coverage, health-care activities, and financial protection. Data were disaggregated by urban or rural residence and by three geographical regions: east, central, and west, and by household income. We examined change in equity across and within regions. The number of households interviewed was 57 023 in 2003, 56 456 in 2008, and 18 822 in 2011. Response rates were 98·3%, 95·0%, and 95·5%, respectively. The number of individuals interviewed was 193 689 in 2003, 177 501 in 2008, and 59 835 in 2011. Between 2003 and 2011, insurance coverage increased from 29·7% (57 526 of 193 689) to 95·7% (57 262 of 59 835, p<0·0001). The average share of inpatient costs reimbursed from insurance increased from 14·4 (13·7–15·1) in 2003 to 46·9 (44·7–49·1) in 2011 (p<0·0001). Hospital delivery rates averaged 95·8% (1219 of 1272) in 2011. Hospital admissions increased 2·5 times to 8·8% (5288 of 59 835, p<0·0001) in 2011 from 3·6% (6981 of 193 689) in 2003. 12·9% of households (2425 of 18 800) had catastrophic health expenses in 2011. Caesarean section rates increased from 19·2% (736 of 3835) to 36·3% (443 of 1221, p<0·0001) between 2003 and 2011. Remarkable increases in insurance coverage and inpatient reimbursement were accompanied by increased use and coverage of health care. Important advances have been made in achieving equal access to services and insurance coverage across and within regions. However, these increases have not been accompanied by reductions in catastrophic health expenses. With the achievement of basic health-services coverage, future challenges include stronger risk protection, and greater efficiency and quality of care. None.

Health spending growth in the United States is projected to average 5.8 percent for 2014-24, reflecting the Affordable Care Act's coverage expansions, faster economic growth, and population aging. Recent historically low growth rates in the use of medical goods and services, as well as medical prices, are expected to gradually increase. However, in part because of the impact of continued cost-sharing increases that are anticipated among health plans, the acceleration of these growth rates is expected to be modest. The health share of US gross domestic product is projected to rise from 17.4 percent in 2013 to 19.6 percent in 2024.

Under current law, national health expenditures are projected to grow at an average annual rate of 5.6 percent for 2016-25 and represent 19.9 percent of gross domestic product by 2025. For 2016, national health expenditure growth is anticipated to have slowed 1.1 percentage points to 4.8 percent, as a result of slower Medicaid and prescription drug spending growth. For the rest of the projection period, faster projected growth in medical prices is partly offset by slower projected growth in the use and intensity of medical goods and services, relative to that observed in 2014-16 associated with the Affordable Care Act coverage expansions. The insured share of the population is projected to increase from 90.9 percent in 2015 to 91.5 percent by 2025.

The treatment coverage for major depressive disorder (MDD) is low in many parts of the world despite MDD being a major contributor to disability globally. Most existing reviews of MDD treatment coverage do not account for potential sources of study-level heterogeneity that contribute to variation in reported treatment rates. This study aims to provide a comprehensive review of the evidence and analytically quantify sources of heterogeneity to report updated estimates of MDD treatment coverage and gaps by location and treatment type between 2000 and 2019. A systematic review of the literature was conducted to identify relevant studies that provided data on treatment rates for MDD between January 1, 2000, and November 26, 2021, from 2 online scholarly databases PubMed and Embase. Cohort and cross-sectional studies were included if treatment rates pertaining to the last 12 months or less were reported directly or if sufficient information was available to calculate this along with 95% uncertainty intervals (UIs). Studies were included if they made use of population-based surveys that were representative of communities, countries, or regions under study. Studies were included if they used established diagnostic criteria to diagnose cases of MDD. Sample and methodological characteristics were extracted from selected studies. Treatment rates were modeled using a Bayesian meta-regression approach and adjusted for select covariates that quantified heterogeneity in the data. These covariates included age, sex, treatment type, location, and choice of MDD assessment tool. A total of 149 studies were included for quantitative analysis. Treatment coverage for health service use ranged from 51% [95% UI 20%, 82%] in high-income locations to 20% [95% UI 1%, 53%] in low- and lower middle-income locations. Treatment coverage for mental health service use ranged from 33% [95% UI 8%, 66%] in high-income locations to 8% [95% UI <1%, 36%] in low- and lower middle-income countries. Minimally adequate treatment (MAT) rates ranged from 23% [95% UI 2%, 55%] in high-income countries to 3% [95% UI <1%, 25%]) in low- and lower middle-income countries. A primary methodological limitation was the lack of sufficient data from low- and lower middle-income countries, which precluded our ability to provide more detailed treatment rate estimates. In this study, we observed that the treatment coverage for MDD continues to be low in many parts of the world and in particular in low- and lower middle-income countries. There is a continued need for routine data collection that will help obtain more accurate estimates of treatment coverage globally.