Little is known about co-occurring tuberculosis (TB) and COVID-19 in low TB incidence settings. We obtained a cross-section of 333 persons in the United States co-diagnosed with TB and COVID-19 ...within 180 days and compared them to 4,433 persons with TB only in 2020 and 18,898 persons with TB during 2017‒2019. Across both comparison groups, a higher proportion of persons with TB–COVID-19 were Hispanic, were long-term care facility residents, and had diabetes. When adjusted for age, underlying conditions, and TB severity, COVID-19 co-infection was not statistically associated with death compared with TB infection only in 2020 (adjusted prevalence ratio 1.0 95% CI 0.8‒1.4). Among TB–COVID-19 patients, death was associated with a shorter interval between TB and COVID-19 diagnoses, older age, and being immunocompromised (non-HIV). TB–COVID-19 deaths in the United States appear to be concentrated in subgroups sharing characteristics known to increase risk for death from either disease alone.
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DOBA, IZUM, KILJ, NUK, ODKLJ, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
In their Viewpoint (Jan 31, p 477),1 Laia Ruiz Mingote and colleagues highlight the urgent need for additional safety data on bedaquiline, the first new tuberculosis drug to receive US Food and Drug ...Administration (FDA) approval in more than 40 years. Because the drug received accelerated approval based solely on phase 2 studies, critical safety data for bedaquiline are incomplete.
Capitation rates for the State Children's Health Insurance Program (SCHIP) funded under Title XXI of the Social Security Act were based on assumptions about the health care needs of children enrolled ...in this program. It has been suggested that parents are selective in enrolling children who are, in their opinion, most likely to need care, and that families who do not view their children as needing such care are more likely to ignore opportunities to seek or to maintain enrollment in SCHIP insurance. Thus, there have been concerns that enrollees might have more health conditions than a general population of children.
The purpose of this study was to test the hypothesis that children in Title XXI have more ongoing health conditions than expected by comparing health status data from enrollees in 1 state SCHIP program to a nationally representative sample of children in the United States.
This study used statewide data obtained in a survey of Florida SCHIP program enrollees and national data obtained on a subset of the children who were assessed in the 1994 National Health Interview Survey (NHIS). We examined health and demographic data collected by means of a structured telephone survey from parents for a random sample of 2432 children 2 to 18 years old who participated in the Florida Healthy Kids Program during the time period of October 1, 1997 through September 30, 1998. We compared these data to information on a national sample of all 26 845 children in the same age range whose health was assessed by the 1994 NHIS, and to a subset of the 6460 children in the NHIS sample whose family income met the eligibility criteria for SCHIP. To do this, we eliminated those children who were receiving Medicaid and those children whose household income levels were known to be above the eligibility level for SCHIP. We also excluded children whose household income was not reported. Thus, effectively this subsample contained non-Medicaid children, whose family incomes were below 185% of the federal poverty level. In Florida, a parent interview conducted by telephone included the Questionnaire for Identifying Children With Chronic Conditions (QuICCC), and their responses were used to determine if the child had any chronic health conditions. The QuICCC is a validated questionnaire containing 39-item sequences that ask about consequences of health conditions in children. It not only provides an overall classification of whether the child has a chronic condition, but also yields information about the consequences affecting the child within 3 condition-related domains: 1) functional limitations; 2) dependency on compensatory mechanisms or assistance; and 3) service need or use above and beyond routine care for age. The 1994 NHIS Core Interview and Disability Supplement contained a series of questions about children's functioning and service use that simulated the QuICCC, and we applied a previously published algorithm for determining the presence of a chronic condition using these items. Both data sets included comparable information on parental ratings of children's health status (excellent, very good, good, fair, poor), and on school absences, bed days, and restricted activity days in the previous 2 weeks.
Children in the Florida SCHIP program were more than twice as likely to have chronic health conditions than similarly aged children in the general population or children in the income restricted national subsample (31% vs 15.9% and 14.6%, respectively) and there also were more SCHIP children with school absences (29% vs 18% and 16.7%, respectively). In contrast, the rating of overall health of SCHIP children was not poorer according to their parents, and they did not have more activity restrictions. Children in Florida SCHIP who had conditions were more likely to experience related consequences within each of 3 domains, and they were nearly 3 times as likely to have all 3 types of consequences (7% in Florida SCHIP sample vs 2.8% and 1.7% in the full national sample and in the income-matched subsamome-matched subsample). However, the Florida SCHIP enrollees differed from the age and income-matched national sample in terms of the proportion of Hispanics. Thus, to verify these findings, we weighted the SCHIP sample to match the racial and ethnic proportions found in the national sample and repeated the analyses. The findings were robust, and there was no change in the percentage of children with special health care needs after such weighting.
Overall, the results of these analyses support the notion of adverse selection and retention in the SCHIP program. This is unlikely to be the result of aggressive marketing in enrollment sites that serve children with more medical problems, as Florida health care providers rank third as a source of information about the Title XXI program after family and friends and the schools. In addition, Florida has active outreach and single-page application process for Medicaid and an aggressive program to move children to Title V, which also should minimize the numbers of children with special health care needs enrolled in SCHIP. Nevertheless, these findings suggest that the children being enrolled in Florida's SCHIP program are not the largely healthy population that was envisioned. If replicated in other SCHIP programs, these findings raise questions about the basic underlying assumptions concerning the health of potential enrollees and could have implications for the long-term fiscal viability of the program.
To determine the percentage of children who had insurance coverage in the 12 months preceding enrollment in a state-subsidized program; the percentage of parents who had access to employer-based ...family coverage; and the cost of the families' share of the premium per month.
We randomly selected 930 families whose children were enrolled in the Florida Healthy Kids Program for a period of between 1 and 3 months and conducted telephone interviews with them in 1998 about their children's insurance coverage before program entry and their access to employer-based family coverage. There were 653 families in the final sample.
Only 5% of the children had employer-based coverage before program enrollment. However, 26% had access to family coverage through their employers with the family share of the premiums representing on average 13% of their incomes. Access to employer-based coverage varied significantly by family income.
Throughout the development of the State Children's Health Insurance Program legislation, policy analysts expressed concern that families may crowd out or substitute a subsidized state plan for employer-based coverage. This substitution could result in fewer improvements in access to care and health status than were anticipated, because families are simply moving to a different form of health insurance. There is some degree of crowd out in the Healthy Kids Program. The economic burden to near-poor families to purchase employer-based coverage is significant. Some degree of substitution may need to be tolerated to ensure that children receive needed health insurance.
In 1990, the Florida Legislature established the Florida Healthy Kids Corporation to implement the concept of school enrollment-based health insurance coverage for children. The county school ...districts are used as a grouping mechanism to negotiate health insurance policies. The Florida Healthy Kids Corporation negotiates contracts with health maintenance organizations (HMOs) to assume financial risk and to provide health care services at each program site. In 1994, there were five sites with four different participating HMOs. Assessing quality of care is particularly important when contracting with HMOs because of the perception that financial and utilization review arrangements may restrict the enrollees' access to needed health care. One essential component of health care quality is the extent to which health care services are used in a manner consistent with the expected pattern of use for the population of enrolled children. The purpose of this study is to compare children's health care use across five different Florida Healthy Kids Program sites. Specifically, we compare the enrollees' actual health care use across HMO settings and program sites to the expected health care use based on the enrollees' case-mix.
Each HMO provided child-specific health care use data including Physician's Current Procedural Terminology codes and International Classification of Diseases, 9th Revision codes. We used the Ambulatory Care Groups (ACGs) software to compare the children's actual health care use to the expected health care use at each site adjusted for case-mix. Several steps were then taken to determine if the children were receiving the anticipated number of health care visits based on their diagnoses. First, we divided the average number of encounters at each site by the group average across all of the sites, without adjusting for the case-mix of the enrollees. We then divided the average number of visits at each site by the expected number of visits based on the case-mix adjustment. A value of 1.00 means that the actual use and the expected use are identical. Values below 1 indicate underuse and values over 1 indicate overuse of health care services. Statistical comparisons of the actual versus expected average health care use across the five sites were performed by deriving the appropriate chi2 statistics.
A census of all children (N = 14 688) enrolled in the Florida Healthy Kids Program at each of the sites for 6 months or longer were included in the analysis. The average number of health care encounters across all sites for a 12-month time period was 2.98 +/- 4.6 visits. After adjusting for the case-mix of the enrollees in each site using the ACG software, several of the five sites differed from one in a statistically significant way. However, these statistical assessments must be tempered with assessing the practical magnitude of the observed differences.
The number of public and private efforts to insure children who are not eligible for Medicaid and whose parents cannot purchase private insurance has grown dramatically. These programs are vital for ensuring financial access to care for uninsured children. However, it is essential that such programs are not viewed as merely cost containment efforts. Assessing the degree to which children receive the health care services they need across multiple delivery settings is an essential yet challenging component of quality assurance. Generally, our analysis indicates that children in the Florida Healthy Kids Program are receiving the amount of health care expected based on their health care needs; which is one component of a high-quality health care program.
...of the Surgeon General's conference, the Department of Health and Human Services (HHS) funded three demonstration projects to (1) develop and implement a regionalized system of services for ...ventilator-assisted children; (2) develop and implement a comprehensive, coordinated model of home care for these children; and (3) improve the well-being of patients and their families and reduce costs. ...policies to reduce the financial burden on families should take into account the out-of-pocket costs that are not covered under existing policies, as well as the exceedingly high medical bills associated with caring for such a medically complex child. ...creativity is needed to provide cost-effective alternatives for these children and their families. ...not every family is able to handle the responsibility of caring for their technology-assisted child at home.
This article presents findings from a national study of home care programs for ventilatorassisted children conducted between 1984 and 1987 by the Center for Health Administration Studies at The ...University of Chicago These findings point to the issues that need to be addressed in the development of policies surrounding both the delivery and the financing of services for these children and their families (a) ventilator-assisted children are a widely varying group with diverse needs, (b) most families report that though they are glad to bring their child home, many difficult adjustments are required to do so, (c) full-time nursing care offers support to families but also intrudes on their privacy, (d) both families and children need social and psychological support once the child is home, (e) the needs of the child and the family may change over time, and (f) the financial burden of having a child on a ventilator at home can be a big stress on the family.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, OILJ, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK, VSZLJ
Increasingly, Medicaid and Title XXI Programs are using survey-based approaches to identify children with special health care needs (CSHCN) for quality assurance monitoring and program referrals. ...However, little work has been done examining how well instruments, like the Questionnaire for Identifying Children with Chronic Conditions and the CSHCN Screener, identify CSHCN among black and Hispanic families. Differences in item interpretation and in response styles could influence the identification of CSHCN from these groups. Our results suggest that children who are black or Hispanic with special health care needs may be underidentified relative to white or non-Hispanic children using currently available survey tools.