Impact of smoked cannabis on tobacco cigarette smoking intensity and subjective effects: A placebo-controlled, double-blind, within-subjects human laboratory study.

Co-users of cannabis and tobacco frequently use cannabis, then tobacco cigarettes, in a sequential pattern within an occasion, that is, they "chase" smoked cannabis with a tobacco cigarette. The objective of this placebo-controlled, double-blind, within-subjects human laboratory study was to gather preliminary data on how smoking active versus placebo cannabis impacts tobacco cigarette smoking behavior, craving, and subjective effects. Adult daily cannabis and tobacco co-users (N = 9) were randomly assigned to two experimental visit orders (i.e., active cannabis (5.2% THC) first visit and placebo cannabis second visit, or vice versa). Participants smoked one cannabis cigarette, and approximately 30 min later were given a 5-min ad libitum period to smoke one of their own brand of tobacco cigarette. As expected, boost in plasma THC levels and cannabis-related subjective effects differed between active and placebo cannabis conditions. Tobacco cigarette puff topography measures and tobacco craving did not differ between cannabis conditions, but there appeared to be between-participants heterogeneity in cumulative total puff volume. After smoking active versus placebo cannabis, the changes in subjective effects of tobacco smoking after adjusting for pretobacco smoking levels were not significant. Results do not support the notion that immediate effects of smoked cannabis change the behavior of tobacco smoking. The strong overlap between cannabis and tobacco smoking may not be explained by primarily pharmacological factors, but may be driven by more nuanced and complex mechanisms involving pharmacological processes as well as learning factors. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The differential impacts of PEPFAR transition on private for-profit, private not-for-profit and publicly owned health facilities in Uganda.

While transition of donor programs to national control is increasingly common, there is a lack of evidence about the consequences of transition for private health care providers. In 2015, President's Emergency Plan for AIDS Relief (PEPFAR) identified 734 facilities in Uganda for transition from PEPFAR support, including 137 private not-for-profits (PNFP) and 140 private for-profits (PFPs). We sought to understand the differential impacts of transition on facilities with differing ownership statuses. We used a survey conducted in mid-2017 among 145 public, 29 PNFP and 32 PFP facilities reporting transition from PEPFAR. The survey collected information on current and prior PEPFAR support, service provision, laboratory services and staff time allocation. We used both bivariate and logistic regression to analyse the association between ownership and survey responses. All analyses adjust for survey design. Public facilities were more likely to report increased disruption of sputum microscopy tests following transition than PFPs [odds ratio (OR) = 5.85, 1.79-19.23, P = 0.005]. Compared with public facilities, PNFPs were more likely to report declining frequency of supervision for human immunodeficiency virus (HIV) since transition (OR = 2.27, 1.136-4.518, P = 0.022). Workers in PFP facilities were more likely to report reduced time spent on HIV care since transition (OR = 6.241, 2.709-14.38, P < 0.001), and PFP facilities were also more likely to discontinue HIV outreach following transition (OR = 3.029, 1.325-6.925; P = 0.011). PNFP facilities' loss of supervision may require that public sector supervision be extended to them. Reduced HIV clinical care in PFPs, primarily HIV testing and counselling, increases burdens on public facilities. Prior PFP clients who preferred the confidentiality and service of private facilities may opt to forgo HIV testing altogether. Donors and governments should consider the roles and responses of PNFPs and PFPs when transitioning donor-funded health programs.

The impact of PEPFAR transition on HIV service delivery at health facilities in Uganda.

BACKGROUND: Since 2004, the President's Emergency Plan for AIDS Relief (PEPFAR) has played a large role in Uganda's HIV/AIDS response. To better target resources to high burden regions and facilities, PEPFAR planned to withdraw from 29% of previously-supported health facilities in Uganda between 2015 and 2017. METHODS: We conducted a cross-sectional survey of 226 PEPFAR-supported health facilities in Uganda in mid-2017. The survey gathered information on availability, perceived quality, and access to HIV services before and after transition. We compare responses for facilities transitioned to those maintained on PEPFAR, accounting for survey design. We also extracted data from DHIS2 for the period October 2013-December 2017 on the number of HIV tests and counseling (HTC), number of patients on antiretroviral therapy (Current on ART), and retention on first-line ART (Retention) at 12 months. Using mixed effect models, we compare trends in service volume around the transition period. RESULTS: There were 206 facilities that reported transition and 20 that reported maintenance on PEPFAR. Some facilities reporting transition may have been in a gap between implementing partners. The median transition date was September 2016, nine months prior to the survey. Transition facilities were more likely to discontinue HIV outreach following transition (51.6% vs. 1.4%, p<0.001) and to report declines in HIV care access (43.5% vs. 3.1%, p<0.001) and quality (35.6% vs. 0%, p<0.001). However, transition facilities did not differ in their trends in HIV service volume relative to maintenance facilities. CONCLUSIONS: Transition from PEPFAR resulted in facilities reporting worsening patient access and service quality for HIV care, but there is insufficient evidence to suggest negative impacts on volume of HIV services. Facility respondents' perceptions about access and quality may be overly pessimistic, or they may signal forthcoming impacts. Unrelated to transition, declining retention on ART in Uganda is a cause for concern.

Utilization of non-Ebola health care services during Ebola outbreaks: a systematic review and meta-analysis.

BACKGROUND: Beyond their direct effects on mortality, outbreaks of Ebola Virus Disease (EVD) might disrupt the provision of health care services in affected countries, possibly resulting in an increase in the number of deaths from non-EVD causes. We conducted a systematic review and meta-analysis of studies documenting the impact of EVD outbreaks on health care utilization. METHODS: We searched PubMed, Embase, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Global Health, Pascal and grey literature to identify observational studies that compared indicators of health care utilization before and during the outbreak. We identified 14 752 unique citations, 22 of which met inclusion criteria. All were related to the 2013-2016 West African EVD outbreak. From the 22 studies, we extracted 235 estimates of the relative change in health care utilization during the EVD outbreak. We used multivariate regression to estimate the average effect of the outbreak on health care utilization, and to assess heterogeneity across study characteristics. FINDINGS: On average, health care utilization declined by 18.0% during the outbreak (95% Confidence Interval: -26.5%, -9.5%). The observed declines in health care utilization were largest in settings affected by higher levels of EVD incidence (>2.5 cases per 100 000 per week) whereas utilization did not change in settings with EVD incidence less than 0.5 cases per 100 000 per week. Declines in utilization were greater for inpatient care and for deliveries than for outpatient care. They were also larger in studies based on small samples of health facilities, suggestive of publication bias. However, several studies based on larger samples of facilities also observed declines in health care utilization. CONCLUSIONS: During the West African EVD outbreak, the utilization of health services declined significantly. During outbreaks of EVD, attention needs to be paid to the disruption of the health services, which can have large indirect health impacts.