Objective: To determine the association between food insecurity and HIV-infection with depression and anxiety among new tuberculosis patients.
Design: Our cross-sectional study assessed depression, anxiety, and food insecurity with Patient Health Questionnaire (PHQ9), Zung Anxiety Self-Assessment Scale (ZUNG), and Household Food Insecurity Access Scale, respectively. Poisson regression models with robust variance were used to examine correlates of depression (PHQ9 ≥ 10) and anxiety (ZUNG ≥ 36).
Setting: Gaborone, Botswana.
Participants: Patients who were newly diagnosed with tuberculosis.
Results: Between January and December 2019, we enrolled 180 TB patients from primary health clinics in Botswana. Overall, 99 (55.0%) were HIV-positive, 47 (26.1%), 85 (47.2%), and 69 (38.5%) indicated depression, anxiety, and moderate to severe food insecurity, respectively. After adjusting for potential confounders, food insecurity was associated with a higher prevalence of depression (adjusted prevalence ratio [aPR] = 2.30; 95% confidence interval [CI] = 1.40, 3.78) and anxiety (aPR = 1.41; 95% CI = 1.05, 1.91). Prevalence of depression and anxiety were similar between HIV-infected and -uninfected participants. Estimates remained comparable when restricted to HIV-infected participants.
Conclusions: Mental disorders may be affected by food insecurity among new tuberculosis patients, regardless of HIV status.
Background
Botswana has a large burden of disease from injury, but no trauma registry. This study sought to design and pilot test a trauma registry at two hospitals.
Methods
A cross sectional study was piloted at a tertiary hospital and a secondary level hospital in Botswana. The study consisted of two stages: stage 1 mainly involved stakeholder consultations on existing data collection tools. Stage 2 consisted of two phases: Phase I involved retrospective collection of existing data from existing data collection tools and Phase II collected data prospectively using the proposed trauma registry prototype.
Results
The pre-hospital road traffic accident data is collected using hard copy forms and some of this data is transferred to a stand-alone electronic registry. The hospital phase of road traffic accident data all goes into hard copy files then stored in institutional registry departments. The post-hospital data is also partially stored as hard copies and some data is stored in a stand-alone electronic registry. The demographics, pre-hospital, triage, diagnosis, management and disposition had a high percent variable completion rate with no significant difference between phases I and II. However, the primary survey variables in Phase I had a low percent variable completion rate which was significantly different from the high completion rates in phase II at both hospitals. A similar picture was observed for the secondary survey at both hospitals.
Conclusion
Electronic trauma registries are feasible and data completion rate is high when using the electronic data registry as opposed to data collected using the existing paper-based data collection tools.
Keywords
Trauma registry, Injury registry, Road Traffic Accident Trauma Registry, Road Traffic Crushes Registry, Road Accident Registry.
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