Medication Errors and Blood Pressure Control Among Patients Managed for Hypertension in Public Ambulatory Care Clinics in Botswana.

Background The prevalence of hypertension in low- and middle-income countries is rapidly increasing, with most cases undiagnosed and many poorly controlled among those diagnosed. Medication reconciliation studies from high-income countries have demonstrated a high occurrence of antihypertensive medication errors and a strong association between medication errors and inadequate blood pressure control, but data from low- and middle-income countries are lacking. Methods and Results We conducted a cross-sectional study from April to October 2018 of adult patients on pharmacologic management for known hypertension at 7 public health facilities in Kweneng East District, Botswana. Our aims included to evaluate the frequency of uncontrolled hypertension, the frequency and type of medication errors causing discrepancies between patient-reported and prescribed antihypertensive medications, and the association between medication errors and uncontrolled hypertension. Descriptive analyses and multivariable logistic regression were used. The prevalence of uncontrolled hypertension was 55% among 280 enrolled adult patients, and 95 (34%) had ≥1 medication error. The most common errors included patients taking medications incorrectly (11.1%; 31/280), patients omitting medications (7.9%; 22/280), and unfilled prescriptions caused by pharmacy stock outs (7.5%%; 21/280). Uncontrolled hypertension was significantly associated with having ≥1 medication error compared with no errors (adjusted odds ratio, 3.26; 95% CI, 1.75-6.06; P<0.001). Conclusions Medication errors are strongly associated with poor blood pressure control in this setting. Further research is warranted to assess whether medication reconciliation and other low-cost interventions addressing root causes of medication errors can improve the control of hypertension and other chronic conditions in low- and middle-income countries.

Effectiveness of a school district closure for pandemic influenza A (H1N1) on acute respiratory illnesses in the community: a natural experiment.

BACKGROUND: Following detection of pandemic influenza A H1N1 (pH1N1) in Dallas/Fort Worth, Texas, a school district (intervention community, [IC]) closed all public schools for 8 days to reduce transmission. Nearby school districts (control community [CC]) mostly remained open. METHODS: We collected household data to measure self-reported acute respiratory illness (ARI), before, during, and after school closures. We also collected influenza-related visits to emergency departments (ED(flu)). RESULTS: In both communities, self-reported ARIs and ED(flu) visits increased from before to during the school closure, but the increase in ARI rates was 45% lower in the IC (0.6% before to 1.2% during) than in the CC (0.4% before to 1.5% during) (RRR(During)(/Before) = 0.55, P < .001; adjusted OR(During/Before) = 0.49, P < .03). For households with school-aged children only (no children 0-5 years), IC had even lower increases in adjusted ARI than in the CC (adjusted OR(During/Before) = 0.28, P < .001). The relative increase of total ED(flu) visits in the IC was 27% lower (2.8% before to 4.4% during) compared with the CC (2.9% before to 6.2% during). Among children aged 6-18 years, the percentage of ED(flu) in IC remained constant (5.1% before vs 5.2% during), whereas in the CC it more than doubled (5.2% before vs 10.9% during). After schools reopened, ARI rates and ED(flu) visits decreased in both communities. CONCLUSIONS: Our study documents a reduction in ARI and ED(flu) visits in the intervention community. Our findings can be used to assess the potential benefit of school closures during pandemics.

Comparison of 3 infrared thermal detection systems and self-report for mass fever screening.

Despite limited evidence regarding their utility, infrared thermal detection systems (ITDS) are increasingly being used for mass fever detection. We compared temperature measurements for 3 ITDS (FLIR ThermoVision A20M [FLIR Systems Inc., Boston, MA, USA], OptoTherm Thermoscreen [OptoTherm Thermal Imaging Systems and Infrared Cameras Inc., Sewickley, PA, USA], and Wahl Fever Alert Imager HSI2000S [Wahl Instruments Inc., Asheville, NC, USA]) with oral temperatures (≥ 100 °F = confirmed fever) and self-reported fever. Of 2,873 patients enrolled, 476 (16.6%) reported a fever, and 64 (2.2%) had a confirmed fever. Self-reported fever had a sensitivity of 75.0%, specificity 84.7%, and positive predictive value 10.1%. At optimal cutoff values for detecting fever, temperature measurements by OptoTherm and FLIR had greater sensitivity (91.0% and 90.0%, respectively) and specificity (86.0% and 80.0%, respectively) than did self-reports. Correlations between ITDS and oral temperatures were similar for OptoTherm (ρ = 0.43) and FLIR (ρ = 0.42) but significantly lower for Wahl (ρ = 0.14; p < 0.001). When compared with oral temperatures, 2 systems (OptoTherm and FLIR) were reasonably accurate for detecting fever and predicted fever better than self-reports.