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Dive into the research topics where Kelly Collins is active.

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Featured researches published by Kelly Collins.


Emerging Infectious Diseases | 2016

Monitoring Therapy Adherence of Tuberculosis Patients by using Video-Enabled Electronic Devices

Alistair Story; Richard S. Garfein; Andrew Hayward; Valiantsin Rusovich; Andrei Dadu; Viorel Soltan; Alexandru Oprunenco; Kelly Collins; Rohit Sarin; Subhi Quraishi; Mukta Sharma; Giovanni Battista Migliori; Maithili Varadarajan; Dennis Falzon

A recent innovation to help patients adhere to daily tuberculosis (TB) treatment over many months is video (or virtually) observed therapy (VOT). VOT is becoming increasingly feasible as mobile telephone applications and tablet computers become more widely available. Studies of the effectiveness of VOT in improving TB patient outcomes are being conducted.


Substance Abuse | 2016

Factors Associated With Patterns of Mobile Technology Use Among Persons Who Inject Drugs

Kelly Collins; Richard F. Armenta; Jazmine Cuevas-Mota; Lin Liu; Steffanie A. Strathdee; Richard S. Garfein

ABSTRACT Background: New and innovative methods of delivering interventions are needed to further reduce risky behaviors and increase overall health among persons who inject drugs (PWID). Mobile health (mHealth) interventions have potential for reaching PWID; however, little is known about mobile technology use (MTU) in this population. In this study, the authors identify patterns of MTU and identified factors associated with MTU among a cohort of PWID. Methods: Data were collected through a longitudinal cohort study examining drug use, risk behaviors, and health status among PWID in San Diego, California. Latent class analysis (LCA) was used to define patterns of MTU (i.e., making voice calls, text messaging, and mobile Internet access). Multinomial logistic regression was then used to identify demographic characteristics, risk behaviors, and health indicators associated with mobile technology use class. Results: In LCA, a 4-class solution fit the data best. Class 1 was defined by low MTU (22%, n = 100); class 2, by PWID who accessed the Internet using a mobile device but did not use voice or text messaging (20%, n = 95); class 3, by primarily voice, text, and connected Internet use (17%, n = 91); and class 4, by high MTU (41%, n = 175). Compared with low MTU, high MTU class members were more likely to be younger, have higher socioeconomic status, sell drugs, and inject methamphetamine daily. Conclusion: The majority of PWID in San Diego use mobile technology for voice, text, and/or Internet access, indicating that rapid uptake of mHealth interventions may be possible in this population. However, low ownership and use of mobile technology among older and/or homeless individuals will need to be considered when implementing mHealth interventions among PWID.


Jmir mhealth and uhealth | 2018

Increased Patient Comfort Using Smartphones Following the Use of a Tuberculosis Treatment Adherence Monitoring Application (Preprint)

Diana Do; Richard S. Garfein; Jazmine Cuevas-Mota; Kelly Collins; Lin Liu

Background As mHealth apps proliferate, it is necessary for patients to feel capable and comfortable using devices that run them. However, limited research is available on changes in comfort level before and after the use of an mHealth app. Objective The objective of this study was to determine whether patients with tuberculosis who used an mHealth app called Video Directly Observed Therapy (VDOT) to monitor their antituberculosis treatment became more comfortable using mobile phones after the intervention and to identify factors associated with change in comfort. Methods We analyzed data from a longitudinal study assessing the feasibility and acceptability of the VDOT app among patients receiving antituberculosis treatment from public health departments in San Diego, San Francisco, and New York City. Comfort levels on six domains of mobile phone use (making phone calls, taking pictures, recording videos, text messaging, internet and email use on the phone) were measured on a 10-point scale (1=very uncomfortable; 10=very comfortable) at the start and end of treatment using VDOT via telephone interviews. The main outcomes were change in comfort level on each domain (recoded as binary measures) and an overall change score (sum of individual measures). Linear and logistic regression analyses were performed to assess whether sociodemographics, risk factors, and VDOT perceptions were associated with change of comfort measures. Results Among 120 participants with complete data, mean age was 39.8 years (SD 14.8, range 18-87 years), 46.7% (56/120) were female, and 76.7% (92/120) were foreign born. The combined comfort level at baseline was high overall (mean 48.8, SD 14.2, interquartile range 43.0-60.0) and the mean comfort score increased by 1.92 points at follow-up (P=.07). Statistically significant increases in comfort on individual domains included taking pictures (P=.02) and recording videos (P=.002). Females were more likely to have increased comfort in using the internet on the phone compared to males (odds ratio [OR] 3.03, 95% CI 1.08-8.52, P=.04). Participants who worked less hours per week were more likely to have increased comfort recording videos although this did not meet statistical significance (OR 1.03, 95% CI 1.00-1.05, P=.06). Conclusions Findings suggest that, despite a high level of comfort using mobile phones at baseline, experience using the VDOT app was associated with increased comfort using mobile phone features. Additional research involving participants with lower baseline mobile phone experience is needed. An implication of these findings is that as patients begin to use mHealth apps for one health condition, they could acquire skills and confidence to more quickly adapt to using mHealth apps for other conditions.


Emerging Infectious Diseases | 2018

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

Richard S. Garfein; Lin Liu; Jazmine Cuevas-Mota; Kelly Collins; Fátima A. Muñoz; Donald G. Catanzaro; Kathleen Moser; Julie Higashi; Teeb Al-Samarrai; Paula Kriner; Julie Vaishampayan; Javier A. Cepeda; Michelle A. Bulterys; Natasha K. Martin; Phillip Rios; Fredric Raab

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.


International Journal of Tuberculosis and Lung Disease | 2015

Feasibility of tuberculosis treatment monitoring by video directly observed therapy: a binational pilot study

Richard S. Garfein; Kelly Collins; Fátima A. Muñoz; Kathleen Moser; P Cerecer-Callu; F. Raab; P Rios; A. Flick; María Luisa Zúñiga; Jazmine Cuevas-Mota; K. Liang; Gudelia Rangel; Jose Luis Burgos; Timothy C. Rodwell; Kevin Patrick


Journal of Mobile Technology in Medicine | 2012

High Tuberculosis Treatment Adherence Obtained Using Mobile Phones for Video Directly Observed Therapy: Results of a Binational Pilot Study

Richard S. Garfein; Kelly Collins; Fátima A. Muñoz; Kathleen Moser; P Cerecer-Callu; M Sullivan; G Chokalingam; P Rios; Jose Luis Burgos; Timothy C. Rodwell; Gudelia Rangel; Kevin Patrick


International Journal of Tuberculosis and Lung Disease | 2017

Mycobacterium tuberculosis infection among persons who inject drugs in San Diego, California

Rf Armenta; Kelly Collins; Steffanie A. Strathdee; Ma Bulterys; Fátima A. Muñoz; Jazmine Cuevas-Mota; P Chiles; Richard S. Garfein


Journal of Mobile Technology in Medicine | 2016

A Qualitative Study Exploring Stakeholder Perceptions of Video Directly Observed Therapy for Monitoring Tuberculosis Treatment in the US-Mexico Border Region

María Luisa Zúñiga; Kelly Collins; Fátima A. Muñoz; Kathleen Moser; Gudelia Rangel; Jazmine Cuevas-Mota; Maureen Clark; Jose Luis Burgos; Richard S. Garfein


Journal of Mobile Technology in Medicine | 2015

CELL PHONE ACCESS AMONG PERSONS WHO INJECT DRUGS IN TIJUANA, BC, MEXICO.

Kelly Collins; Daniela Abramovitz; Meredith C. Meacham; Patricia Gonzalez-Zuniga; Kevin Patrick; Richard S. Garfein


Journal of Mobile Technology in Medicine | 2013

Experience with mobile technology among patients with tuberculosis in San Diego, California and Tijuana, Mexico

Kelly Collins; Fátima A. Muñoz; Kathleen Moser; P Cerecer-Callu; F Raab; A Flick; P Rios; María Luisa Zúñiga; Jazmine Cuevas-Mota; Jose Luis Burgos; Timothy C. Rodwell; Mg Rangel; Kevin Patrick; Richard S. Garfein

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Kathleen Moser

University of California

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Lin Liu

University of California

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