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Changes in the way health insurers pay healthcare providers may not only directly affect the insurer’s patients but may also affect patients covered by other insurers. We provide evidence of such spillovers in the context of a nationwide Medicare bundled payment reform that was implemented in some areas of the country but not in others, via random assignment. We estimate that the payment reform—which targeted traditional Medicare patients—had effects of similar magnitude on the healthcare experience of nontargeted, privately insured Medicare Advantage patients. We discuss the implications of these findings for estimates of the impact of healthcare payment reforms and more generally for the design of healthcare policy.

In 2008, a lottery was used to select low-income adults for Medicaid expansion in Oregon. In this comparison of persons who were selected and those who were not, Medicaid coverage was associated with a lower rate of depression but no significant improvements in physical health. In 2008, Oregon initiated a limited expansion of its Medicaid program for low-income adults through a lottery drawing of approximately 30,000 names from a waiting list of almost 90,000 persons. Selected adults won the opportunity to apply for Medicaid and to enroll if they met eligibility requirements. This lottery presented an opportunity to study the effects of Medicaid with the use of random assignment. Earlier, nonrandomized studies sought to investigate the effect of Medicaid on health outcomes in adults with the use of quasi-experimental approaches. 1 – 3 Although these approaches can be an improvement over observational designs and often involve larger . . .

Background Since the Ghanaian National Health Insurance Scheme (NHIS) was introduced in 2004, coverage rates have remained low, despite affordable premiums and payment exemptions for minor, senior, poor, and pregnant individuals. While 82% of the population have registered with the NHIS, many fail to complete the annual renewal and thus lose their coverage. A mobile renewal service introduced in 2018 simplified the previously cumbersome renewal procedure. Still, 40% of active member experience gaps in coverage in a given year, and 19% fail to renew at all. Baseline research suggests that forgetfulness is a major barrier to renewal. Methods A total of 342,818 NHIS members from Kumasi will be randomized into the reminder, autorenewal or control groups. The reminder arm receives SMS prompts to complete the mobile renewal process and payment before expiration. The autorenewal arm is eligible to sign up for automatic renewal and give the NHIS permission to deduct the premium from their mobile money account, and will receive SMS prompt to do so. The intervention lasts 6 months. NHIS routine data will be used to evaluate the effect of the interventions on renewals. A follow-up survey household survey in Kumasi will evaluate additional aspects user experience. Discussion Improving insurance retention has the potential to substantially increase health insurance coverage rates, as 45% of the Ghanaians currently have expired insurance. Assessing these tools will identify enabling factors and barriers of the intervention and inform the transferability of the intervention to other health insurance systems in sub-Saharan African countries. Trial registration: Pan African Clinical Trials Registry, PACTR202409918648487 Registered on 04 September 2024.

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.

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.

Starting in 2017, all state and federal health insurance exchanges will present quality data on health plans in addition to cost information. We analyzed variations in the current design of information on state exchanges to identify presentation approaches that encourage consumers to take quality as well as cost into account when selecting a health plan. Using an online sample of 1,025 adults, we randomly assigned participants to view the same comparative information on health plans, displayed in different ways. We found that consumers were much more likely to select a high-value plan when cost information was summarized instead of detailed, when quality stars were displayed adjacent to cost information, when consumers understood that quality stars signified the quality of medical care, and when high-value plans were highlighted with a check mark or blue ribbon. These approaches, which were equally effective for participants with higher and lower numeracy, can inform the development of future displays of plan information in the exchanges.

PurposeTo assess public attitudes towards fertility treatment coverage and whether attitudes are influenced by infertility labels.MethodsCross-sectional, web survey-based experiment using a national sample of 1226 United States adults. Participants read identical descriptions about infertility, with the exception of random assignment to infertility being labeled as a “condition,” “disease,” or “disability.” Participants then responded to questions measuring their beliefs and attitudes towards policies related to the diagnosis and treatment of infertility. We measured public support for infertility policies, public preference for infertility labels, and whether support differed by the randomly assigned label used. We also queried associations between demographic data and support for infertility policies.ResultsSupport was higher for insurance coverage of infertility treatments (p=.014) and fertility preservation (p=.017), and infertility public assistance programs (p=.036) when infertility was described as a “disease” or “disability” compared to “condition.” Participants who were younger, were planning or trying to conceive, had a family member or friend with infertility, and/or had a more liberal political outlook were more likely to support infertility policies. A majority of participants (78%) felt the term “condition” was the best label to describe infertility, followed by “disability” (12%). The least popular label was “disease” (10%). Those preferring “condition” were older (p<.001), more likely to be non-Hispanic White (p=.046), and less likely to have an infertility diagnosis (p<.001).ConclusionWhile less commonly identified as the best descriptors of infertility, labeling infertility as a “disease” or “disability” may increase support for policies that improve access to infertility care

Abstract Background   Should health systems invest more in access to care by expanding insurance coverage or in health care services including improving the quality of care? Comparing these options experimentally would shed light on the impact and cost-effectiveness of these strategies. Methods   The Quality Improvement Demonstration Study (QIDS) was a randomized policy experiment conducted across 30 districts in the Philippines. The study had a control group and two policy intervention groups intended to improve the health of young children. The demand-side intervention in QIDS was universal health insurance coverage (UHC) for children aged 5 years or younger, and a supply-side intervention, a pay-for-performance (P4P) bonus for all providers who met pre-determined quality levels. In this paper, we compare the impacts of these policies from the QIDS experiment on childhood wasting by calculating DALYs averted per US$spent. Results   The direct per capita costs to implement UHC and P4P are US$4.08 and US$1.98 higher, respectively, compared to control. DALYs due to wasting were reduced by 334,862 in UHC and 1,073,185 in P4P. When adjustments are made for the efficiency of higher quality, the DALYS averted per US$ spent is similar in the two arms, 1.56 and 1.58 for UHC and P4P, respectively. Since the P4P quality improvements touches all patients seen by qualifying providers (32% in UHC versus 100% in P4P), there is a larger reduction in DALYs. With similar programmatic costs for either intervention, in this study, each US$spent under P4P yielded 1.52 DALYs averted compared to the standard program, while UHC yielded only a 0.50 DALY reduction. Conclusion   P4P had a greater impact and was more cost-effective compared to UHC as measured by DALYs averted. While expanded insurance benefit ceilings affected only those who are covered, P4P incentivizes practice quality improvement regardless of whether children are insured or uninsured.

BACKGROUND:Arkansas and Iowa received waivers from the federal government in 2014 to use federal Medicaid expansion funding to enroll beneficiaries in commercial insurance plans on the Marketplaces. One key hypothesis of these “private option” or “premium assistance” programs was that Medicaid beneficiaries would experience increased access to care. In this study, we compare new patient primary care appointment availability and wait-times for beneficiaries of traditional Medicaid and premium assistance Medicaid. METHODS:Trained field staff posing as patients, randomized to traditional Medicaid or Marketplace plans, called primary care practices seeking new patient appointments in Arkansas and Iowa in May to July 2014. All calls were made to offices that previously indicated being in-network for the plan. Offices were drawn randomly, within insurance type, based on the county proportion of the population with each insurance type. We calculated appointment rates and wait-times for new patients for traditional Medicaid and Marketplace plans. RESULTS:In Arkansas, Marketplace appointment rates were 27.2 percentage points higher than traditional Medicaid appointment rates (83.2% compared with 55.5%, P<0.001), while in Iowa, Marketplace appointment rates were 12.0 percentage points higher (86.3% compared with 74.3%, P<0.001). Conditional on receiving an appointment, median wait-times were roughly 1 week in each state without significant differences by insurance type. CONCLUSIONS:The experiences of Arkansas and Iowa suggest that enrolling Medicaid beneficiaries into Marketplace plans may lead to higher primary care appointment availability for new patients at participating providers. Further research is needed on whether premium assistance programs affect quality and continuity of care, and at what cost.

Although financial toxicity is widely acknowledged to be a potential consequence of costly cancer treatment, little is known about its prevalence and outcome among the Indian population. In this study, we systematically reviewed the prevalence, determinants, and consequences of financial toxicity among patients with cancer in India. 22 studies were included in the systematic review. The determinants of financial toxicity include household income, type of health-care facility used, stage of disease, area of residence, age at the time of diagnosis, recurrent cancer, educational status, insurance coverage, and treatment modality. Financial toxicity was associated with poor quality of life, accumulation of debts, premature entry into the labour market, and non-compliance with therapy. Our findings emphasise the need for urgent strategies to mitigate financial toxicity among patients with cancer in India, especially in the most deprived sections of society. The qualitative evidence synthesised in this systematic review could provide a basis for the development of such interventions to reduce financial toxicity among patients with cancer.