There's no such thing as a free TB diagnosis: Catastrophic TB costs in Urban Uganda.

Identifying and reducing TB-related costs is necessary for achieving the End TB Strategy's goal that no family is burdened with catastrophic costs. This study explores costs during the pre-diagnosis period and assesses the potential for using coping costs as a proxy indicator for catastrophic costs when comprehensive surveys are not feasible. Detailed interviews about TB-related costs and productivity losses were conducted with 196 pulmonary TB patients in Kampala, Uganda. The threshold for catastrophic costs was defined as 20% of household income. Multivariable regression analyses were used to assess the influence of patient characteristics on economic burden, and the positive predictive value (PPV) of coping costs was estimated. Over 40% of patients experienced catastrophic costs, with average (median) pre-diagnosis costs making up 30.6% (14.1%) of household income. Low-income status (AOR = 2.91, 95% CI = 1.29, 6.72), hospitalisation (AOR = 8.66, 95% CI = 2.60; 39.54), and coping costs (AOR = 3.84, 95% CI = 1.81; 8.40) were significantly associated with the experience of catastrophic costs. The PPV of coping costs as an indicator for catastrophic costs was estimated to be 73% (95% CI = 58%, 84%). TB patients endure a substantial economic burden during the pre-diagnosis period, and identifying households that experience coping costs may be a useful proxy measure for identifying catastrophic costs.

Implementing a Statewide Safe to Sleep Hospital Initiative: Lessons Learned.

Sleep-related infant deaths continue to be a major, largely preventable cause of infant mortality, especially in Georgia. The Georgia Department of Public Health (DPH), as part of a multi-pronged safe infant sleep campaign, implemented a hospital initiative to (1) provide accurate safe infant sleep information to hospital personnel; (2) support hospitals in implementing and modeling safe sleep practices; and (3) provide guidance on addressing caregiver safe sleep concerns. A process evaluation was conducted to determine progress toward four goals set out by DPH: (1) all birthing hospitals have a safe infant sleep policy; (2) all safe infant sleep policies reference the AAP 2011 recommendations; (3) all safe infant sleep policies specify the type and/or content of patient safe sleep education; and (4) all hospitals require regular staff training on safe sleep recommendations. Data were collected via structured interviews and document review of crib audit data and safe sleep policies. All 79 birthing hospitals in the state participated in the statewide campaign. Prior to the initiative, 44.3% of hospitals had a safe sleep policy in place; currently, 87.3% have a policy in place. The majority (91.4%) of hospitals have provided safe sleep training to their staff at this time. Important lessons include: (1) Engagement is vital to success; (2) A comprehensive implementation guide is critical; (3) Piloting the program provides opportunities for refinement; (4) Ongoing support addresses barriers; and (5) Senior leadership facilitates success.

The impact of nursing students on the health-related quality of life and perceived social support of a rural population in Ecuador: effects of a service-based learning course.

BACKGROUND: Students seeking degrees in healthcare in Ecuador participate in community improvement projects and provide free health services under the supervision of faculty health professionals. The aim of this study is to determine the impact of a community-based intervention delivered by nursing students on health-related quality of life (HRQoL) and perceived social support of a rural population in Ecuador. METHODS: A quasi-experimental non-equivalent control group design study was conducted in two rural communities in Tumbaco, Ecuador. Families from one rural community were invited to participate in the intervention, receiving 8 weekly home visits from nursing students. Families from a neighboring community were similarly recruited as wait-list controls. One member of each family was consented into the study; the final sample included 43 intervention participants and 55 control participants. HRQoL and perceived social support were assessed before and after the intervention in both groups. The SF-12 was used to measure HRQoL, including eight domain scores and two composite scores, and the Interpersonal Support Evaluation List was used as an indicator of perceived social support. Difference-in-differences (DD) analyses were conducted to mitigate the effects of any baseline differences in the non- equivalent control group design. RESULTS: When compared to the control group, the intervention group realized significant improvements in the physical component summary score of the SF-12 (4.20, p < 0.05) and the physical function domain of the SF-12 (4.92, p < 0.05). There were no statistically significant differences for any other components of the SF-12 or in the measure of perceived social support. CONCLUSIONS: Nursing students completing their rural service rotation have the potential to improve the health-related quality of life of rural residents in Ecuador. Future research should continue to examine the impact of service-based learning on recipient populations.

Benefit-Cost Analysis of Undergraduate Education Programs: An Example Analysis of the Freshman Research Initiative.

Institutions and administrators regularly have to make difficult choices about how best to invest resources to serve students. Yet economic evaluation, or the systematic analysis of the relationship between costs and outcomes of a program or policy, is relatively uncommon in higher education. This type of evaluation can be an important tool for decision makers considering questions of resource allocation. Our purpose with this essay is to describe methods for conducting one type of economic evaluation, a benefit-cost analysis (BCA), using an example of an existing undergraduate education program, the Freshman Research Initiative (FRI) at the University of Texas Austin. Our aim is twofold: to demonstrate how to apply BCA methodologies to evaluate an education program and to conduct an economic evaluation of FRI in particular. We explain the steps of BCA, including assessment of costs and benefits, estimation of the benefit-cost ratio, and analysis of uncertainty. We conclude that the university's investment in FRI generates a positive return for students in the form of increased future earning potential.

A Prospective Programmatic Cost Analysis of Fuel Your Life: A Worksite Translation of DPP.

OBJECTIVE: An accounting of the resources necessary for implementation of efficacious programs is important for economic evaluations and dissemination. METHODS: A programmatic costs analysis was conducted prospectively in conjunction with an efficacy trial of Fuel Your Life (FYL), a worksite translation of the Diabetes Prevention Program. FYL was implemented through three different modalities, Group, Phone, and Self-study, using a micro-costing approach from both the employer and societal perspectives. RESULTS: The Phone modality was the most costly at $354.6 per participant, compared with $154.6 and $75.5 for the Group and Self-study modalities, respectively. With the inclusion of participant-related costs, the Phone modality was still more expensive than the Group modality but with a smaller incremental difference ($461.4 vs $368.1). CONCLUSIONS: This level of cost-related detail for a preventive intervention is rare, and our analysis can aid in the transparency of future economic evaluations.