| Literature DB >> 31456581 |
Samuel B Holzman1, Sachin Atre2, Tushar Sahasrabudhe2, Sunil Ambike2, Deepak Jagtap2, Yakub Sayyad2, Arjun Lal Kakrani2, Amita Gupta1, Vidya Mave1, Maunank Shah1.
Abstract
BACKGROUND: India accounts for nearly one-quarter of the global tuberculosis (TB) burden. Directly observed treatment (DOT) through in-person observation is recommended in India, although implementation has been heterogeneous due largely to resource limitations. Video DOT (vDOT) is a novel, smartphone-based approach that allows for remote treatment monitoring through patient-recorded videos. Prior studies in high-income, low disease burden settings, such as the United States, have shown vDOT to be feasible, although little is known about the role it may play in resource-limited, high-burden settings.Entities:
Keywords: India; Video DOT; mHealth; medication adherence; mobile phone; smartphone; telemedicine; tuberculosis
Year: 2019 PMID: 31456581 PMCID: PMC6734854 DOI: 10.2196/13411
Source DB: PubMed Journal: JMIR Form Res ISSN: 2561-326X
Figure 1The patient-facing portion of the emocha video directly observed therapy mobile app allows patients to record and transmit treatment videos, report any medication-related side effects, and review treatment progress and track adherence. The provider portion of the platform can be used by medical staff to review treatment videos and accessed from multiple devices.
Figure 2Data flow and security with the emocha video directly observed therapy mobile app.
Figure 3Study flow diagram. vDOT: video directly observed therapy.
Patient and disease characteristics (n=25).
| Variable | Value | ||
| Age, year (median, IQRa) | 27 (24-42) | ||
| Female, n (%) | 10 (40) | ||
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| Maharashtra | 18 (72) | |
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| Haryana | 2 (8) | |
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| Karnataka | 1 (4) | |
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| Tamil Nadu | 1 (4) | |
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| Other | 3 (12) | |
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| Marathi | 18 (72) | |
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| Hindi | 6 (24) | |
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| Kannada | 1 (4) | |
| Employed, n (%) | 10 (40) | ||
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| <2000 | 6 (24) | |
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| 2000-4000 | 0 (0) | |
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| 4000-8000 | 6 (24) | |
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| 8000-16,000 | 13 (52) | |
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| >16,000 | 0 (0) | |
| Homeless, n (%) | 1 (4) | ||
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| Urban | 21 (84) | |
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| Rural | 4 (16) | |
| Married, n (%) | 13 (52) | ||
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| Private vehicle | 0 (0) | |
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| Bus/train | 0 (0) | |
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| Auto-rickshaw | 8 (32) | |
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| Other private transportation | 17 (68) | |
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| Alcohol | 1 (4) | |
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| Tobacco use | 0 (0) | |
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| Illicit drug use | 0 (0) | |
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| Diabetes | 3 (12) | |
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| Hypertension | 1 (4) | |
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| Cancer | 0 (0) | |
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| Regular access to a smartphone | 22 (88) | |
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| Daily access to Wi-Fi or cellular data | 22 (88) | |
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| Used personal device for study | 22 (88) | |
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| Smear positive | 14 (56) |
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| Smear negative | 4 (16) |
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| Exclusively extrapulmonary | 7 (28) | |
aIQR: interquartile range.
bCategories not mutually exclusive, each out of 25 total participants.
cPulmonary disease with or without extrapulmonary involvement.
Video directly observed therapy outcomes and data utilization (n=25).
| Variable | Value | |
| Adherencea (%), median (IQRb) | 74 (62-84) | |
| Verifiable fractionc (%), median (IQR) | 86 (74-98) | |
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| 3 times per week DOTd | 5 (20) |
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| 7 times per week DOT | 20 (80) |
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| Intensive | 5 (20) |
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| Continuation | 20 (80) |
| Number of weeks on vDOTe, median (IQR) | 13 (11-16) | |
| Total uploaded videosf (n) | 1722 | |
| Mean uploads per patient, mean (SD) | 91 (53) | |
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| Mean (SD) | 1.6 (2.4) |
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| Range | 0-8 |
| Video length (seconds), median (IQR) | 44 (31-52) | |
| Video size (MB), median (IQR) | 1.5 (1.1-1.7) | |
aProportion of total prescribed doses completed under video observation. Of note, no in-person directly observed therapy was noted either before or after the implementation of video directly observed therapy.
bIQR: interquartile range.
cProportion of total prescribed doses verified by any means, including successful observation by video upload and verbal dose confirmation (by phone or in person) following the submission of an incomplete or poor quality video.
dDOT: directly observed therapy.
evDOT: video directly observed therapy.
fTotal video (accepted + rejected + run-in phase) uploads across all patients over the length of the study.
Responses from patient agreeability survey (n=22).
| Survey statements (rated on a 5-point Likert scale) | Agreea n (%) | Disagreeb n (%) |
| emocha was easy to use | 20 (91) | 2 (9) |
| I was able to record videos without difficulty | 22 (100) | 0 (0) |
| I was able to upload videos without difficulty | 21 (95) | 1 (5) |
| emocha text message reminders were helpful | 20 (91) | 2 (9) |
| I was able to communicate concerns and side effects using emocha effectively | 22 (100) | 0 (0) |
aAgree/strongly agree were grouped.
bNeutral/disagree/strongly disagree were grouped.
Responses from patient preference survey (n=22).
| Survey statements (categorical) | Value, n (%) | |
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| Wi-Fi at the clinic | 0 (0) |
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| Wi-Fi at home or other location | 0 (0) |
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| Cellular data (3G/4G) | 22 (100) |
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| vDOTb | 18 (82) |
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| In-person DOTc | 4 (18) |
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| No preference | 0 (0) |
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| vDOT | 20 (91) |
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| In-person DOT | 2 (9) |
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| No preference | 0 (0) |
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| vDOT | 20 (91) |
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| In-person DOT | 2 (9) |
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| No preference | 0 (0) |
aIn-person directly observed therapy (DOT), either prior to enrollment or while on video directly observed therapy (vDOT), was inconsistently performed and/or documented based on chart reviews. Answers referring to in-person DOT are therefore based on patient perceptions of what in-person DOT would be like.
bvDOT: video directly observed therapy.
cDOT: directly observed therapy.
Patient-level barriers to successful video directly observed therapy use as identified by study staff.
| Barrier to vDOTa use | Representative patient quotes and/or problem details | |
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| Stigma | “Recently one of my close relatives expired. As you know, we need to be at home to complete all the rituals up to 15 days after death. All the relatives are there, around all the time, and it became difficult to go out as well. So I could not take videos. Otherwise they would have started asking. Due to that, sometimes I missed my medicines.” |
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| Hospital admission | One patient suffered from severe alcohol dependence. The patient was successful on vDOT for a period but later admitted for detoxification. The patient’s phone was confiscated at the time of admission, leaving him unable to upload videos during his hospital stay. |
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| Stress | “My 1-year-old son fell from the bed and his hand got fractured. He was unwell, so we were under stress. I took tablets but during that time, I did not record videos.” |
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| Connectivity | “I went to my village for 8 days for some work. As we do not have range and connectivity to the internet, I could not send videos.” |
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| vDOT-related challenges | “The registration process is a bit complicated and time-consuming. Can it be simplified?” |
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| “The [vDOT] app got hanged in my mobile. I did not know how to reinstall it. So I could not send videos.” |
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| “When [recording a] video, if I get a call, the application used to suddenly shut down. So the video [would get lost].” |
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| SIMb card | “I did not submit Know Your Customer documents required for SIM verification. Hence my SIM card was deactivated for some time...I was not able to send videos.” |
avDOT: video directly observed therapy.
bSIM: subscriber identity module.