Using mobile technology to optimize disease surveillance and healthcare delivery at mass gatherings: a case study from India's Kumbh Mela

被引:18
|
作者
Kazi, Dhruv S. [1 ,2 ,3 ]
Greenough, Gregg [4 ]
Madhok, Rishi [5 ]
Heerboth, Aaron [6 ]
Shaikh, Ahmed [7 ]
Leaning, Jennifer [8 ,9 ]
Balsari, Satchit [8 ,9 ,10 ]
机构
[1] Univ Calif San Francisco, Dept Epidemiol & Biostat, Dept Med, San Francisco, CA 94158 USA
[2] Univ Calif San Francisco, Ctr Vulnerable Populat, San Francisco, CA 94158 USA
[3] Zuckerberg San Francisco Gen Hosp, Div Cardiol, San Francisco, CA 94110 USA
[4] Harvard TH Chan Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA 02115 USA
[5] Capture Proof, San Francisco, CA 94110 USA
[6] Univ Calif San Diego, Dept Emergency Med, San Diego, CA 92103 USA
[7] Maharashtra Govt Minist Hlth, Mumbai 400102, Maharashtra, India
[8] Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA
[9] Harvard Univ, FXB Ctr Hlth & Human Rights, Cambridge, MA 02138 USA
[10] Weill Cornell Med, Weill Cornell Global Emergency Med Div, New York, NY 10065 USA
关键词
Kumbh Mela; mass gatherings; mHealth; mobile phones; primary care; tablet; user-centered design;
D O I
10.1093/pubmed/fdw091
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Planning for mass gatherings often includes temporary healthcare systems to address the needs of attendees. However, paper-based record keeping has traditionally precluded the timely application of collected clinical data for epidemic surveillance or optimization of healthcare delivery. We evaluated the feasibility of harnessing ubiquitous mobile technologies for conducting disease surveillance and monitoring resource utilization at the Allahabad Kumbh Mela in India, a 55-day festival attended by over 70 million people. Methods We developed an inexpensive, tablet-based customized disease surveillance system with real-time analytic capabilities, and piloted it at five field hospitals. Results The system captured 49 131 outpatient encounters over the 3-week study period. The most common presenting complaints were musculoskeletal pain (19%), fever (17%), cough (17%), coryza (16%) and diarrhoea (5%). The majority of patients received at least one prescription. The most common prescriptions were for antimicrobials, acetaminophen and non-steroidal anti-inflammatory drugs. There was great inter-site variability in caseload with the busiest hospital seeing 650% more patients than the least busy hospital, despite identical staffing. Conclusions Mobile-based health information solutions developed with a focus on user-centred design can be successfully deployed at mass gatherings in resource-scarce settings to optimize care delivery by providing real-time access to field data.
引用
收藏
页码:616 / 624
页数:9
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