Evidence map›Paper›PMID 35006088›Full record

ArticleJournal of medical Internet research2022

Applying Human-Centered Design Principles to Digital Syndromic Surveillance at a Mass Gathering in India: Viewpoint.

Ahmed Shaikh, Abhishek Bhatia, Ghanshyam Yadav, Shashwat Hora, Chung Won, Mark Shankar, Aaron Heerboth, Prakash Vemulapalli, Paresh Navalkar, Kunal Oswal and 4 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Ahmed Shaikh *Institute for Critical Care Medicine, Mount Sinai Hospital, New York, NY, United States.ORCID 0000-0002-0242-2392
Abhishek Bhatia *Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-0063-368X
Ghanshyam Yadav *Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0002-5692-9033
Shashwat Hora *Articulate Labs, Inc, San Francisco, CA, United States.ORCID 0000-0002-0553-7021
Chung Won *Department of Emergency Medicine, Memorial Hermann Hospital -Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0001-9659-5640
Mark Shankar *Department of Emergency Medicine, Jacobi Medical Center, New York, NY, United States.ORCID 0000-0003-0820-3331
Aaron Heerboth *India Digital Health Network, Lakshmi Mittal and Family South Asia Institute, Harvard University, Cambridge, MA, United States.ORCID 0000-0002-7882-1939
Prakash Vemulapalli *University Hospitals Center for Emergency Medicine, Cleveland Medical Center, Cleveland, OH, United States.ORCID 0000-0002-9042-1188
Paresh Navalkar *Lifesupporters Institute of Health Sciences, Mumbai, India.ORCID 0000-0002-6367-9140
Kunal Oswal *Department of Public Health Dentistry, Sharad Pawar Dental College, Maharashtra, India.ORCID 0000-0003-4467-2274
Clay Heaton *India Digital Health Network, Lakshmi Mittal and Family South Asia Institute, Harvard University, Cambridge, MA, United States.ORCID 0000-0002-8763-844X
Sujata Saunik *Department of General Administration, Government of Maharashtra, Mumbai, India.ORCID 0000-0001-6641-0721
Tarun Khanna *Harvard Business School, Boston, MA, United States.ORCID 0000-0003-4613-7531
Satchit Balsari *India Digital Health Network, Lakshmi Mittal and Family South Asia Institute, Harvard University, Cambridge, MA, United States.ORCID 0000-0002-5492-1900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the wake of the COVID-19 pandemic, digital health tools have been deployed by governments around the world to advance clinical and population health objectives. Few interventions have been successful or have achieved sustainability or scale. In India, government agencies are proposing sweeping changes to India's digital health architecture. Underpinning these initiatives is the assumption that mobile health solutions will find near universal acceptance and uptake, though the observed reticence of clinicians to use electronic health records suggests otherwise. In this practice article, we describe our experience with implementing a digital surveillance tool at a large mass gathering, attended by nearly 30 million people. Deployed with limited resources and in a dynamic chaotic setting, the adherence to human-centered design principles resulted in near universal adoption and high end-user satisfaction. Through this use case, we share generalizable lessons in the importance of contextual relevance, stakeholder participation, customizability, and rapid iteration, while designing digital health tools for individuals or populations.

Indexed as

COVID-19PandemicsHumansIndiaMass GatheringsSARS-CoV-2Sentinel Surveillancedesigndigital healthhuman centered designinterventionmHealthsyndromic surveillance

Identifiers

PMID35006088
PMCPMC8787658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.