Tuberculosis Treatment Monitoring by Video Directly Observed Therapy in 5 Health Districts, California, USA.

We assessed video directly observed therapy (VDOT) for monitoring tuberculosis treatment in 5 health districts in California, USA, to compare adherence between 174 patients using VDOT and 159 patients using in-person directly observed therapy (DOT). Multivariable linear regression analyses identified participant-reported sociodemographics, risk behaviors, and treatment experience associated with adherence. Median participant age was 44 (range 18-87) years; 61% of participants were male. Median fraction of expected doses observed (FEDO) among VDOT participants was higher (93.0% [interquartile range (IQR) 83.4%-97.1%]) than among patients receiving DOT (66.4% [IQR 55.1%-89.3%]). Most participants (96%) would recommend VDOT to others; 90% preferred VDOT over DOT. Lower FEDO was independently associated with US or Mexico birth, shorter VDOT duration, finding VDOT difficult, frequently taking medications while away from home, and having video-recording problems (p<0.05). VDOT cost 32% (range 6%-46%) less than DOT. VDOT was feasible, acceptable, and achieved high adherence at lower cost than DOT.

Asynchronous Video Directly Observed Therapy to Monitor Short-Course Latent Tuberculosis Infection Treatment: Results of a Randomized Controlled Trial.

Background: Observing medication ingestion through self-recorded videos (video directly observed therapy [VDOT]) has been shown to be a cost-effective alternative to in-person directly observed therapy (DOT) for monitoring adherence to treatment for tuberculosis disease. VDOT could be a useful tool to monitor short-course latent tuberculosis infection (LTBI) treatment. Methods: We conducted a prospective randomized controlled trial comparing VDOT (intervention) and clinic-based DOT (control) among patients newly diagnosed with LTBI who agreed to a once-weekly 3-month treatment regimen of isoniazid and rifapentine. Study outcomes were treatment completion and patient satisfaction. We also assessed costs. Pre- and posttreatment interviews were conducted. Results: Between March 2016 and December 2019, 130 participants were assigned to VDOT (n = 68) or DOT (n = 62). Treatment completion (73.5% vs 69.4%, P = .70) and satisfaction with treatment monitoring (92.1% vs 86.7%, P = .39) were slightly higher in the intervention group than the control group, but neither was statistically significant. VDOT cost less per patient (median, $230; range, $182-$393) vs DOT (median, $312; range, $246-$592) if participants used their own smartphone. Conclusions: While both groups reported high treatment satisfaction, VDOT was not associated with higher LTBI treatment completion. However, VDOT cost less than DOT. Volunteer bias might have reduced the observed effect since patients opposed to any treatment monitoring could have opted for alternative unobserved regimens. Given similar outcomes and lower cost, VDOT may be useful for treatment monitoring when in-person observation is prohibited or unavailable (eg, during a respiratory disease outbreak). The trial was registered at the National Institutes of Health (ClinicalTrials.gov NTC02641106). Clinical Trials Registration: ClinicalTrials.gov NTC02641106; registered 24 October 2016.

Validating free-text order entry for a note-centric EHR.

Electronic Health Records (EHRs) have increased the utility and portability of health information by storing it in structured formats. However, EHRs separate this structured data from the rich, free-text descriptions of clinical notes. The ultimate objective of our research is to develop an interactive progress note that unifies entry, access, and retrieval of structured and unstructured health information. In this study we present the design and subsequent testing with eight clinicians of a core element of this envisioned note: free-text order entry. Clinicians saw this new order-entry paradigm as a way to save time and preserve data quality by reducing double-documentation. However, they wanted the prototype to recognize more diverse types of shorthand and apply default values to fields that remain fairly constant across orders, such as number of refills and pickup location. Future work will test more complex orders, such as cascading orders, with a broader range of clinicians.