Validity of the Surveillance Quality Indicators - Timeliness and Completeness - in Surveillance Systems with Variable Data Quality

Authors

  • Vivek Singh Public Health Foundation of India, Indian Institute of Public Health - Hyderabad, Hyderabad, Andhra Pradesh, India.
  • Jagan Mohan Directorate of Health, Department of Health, Medical & Family Welfare, Government of Andhra Pradesh, Hyderabad, Andhra Pradesh, India.
  • U Prasada Rao Directorate of Health, Department of Health, Medical & Family Welfare, Government of Andhra Pradesh, Hyderabad, Andhra Pradesh, India.
  • David Heymann London School of Hygiene and Tropical Medicine, London, United Kingdom.
  • Lalit Dandona Public Health Foundation of India, New Delhi, India; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5203

Abstract

Timeliness and Completeness of the routine surveillance reports are surveillance quality indicators which are widely used for monitoring the surveillance quality. However our study shows that in maturing surveillance systems with variable data quality these quality indicators do not provide valid indication of quality. Maturing surveillance systems that have variable data quality should have more comprehensive indicators - including all surveillance system components and core and support surveillance functions - for monitoring surveillance quality.

Author Biography

Vivek Singh, Public Health Foundation of India, Indian Institute of Public Health - Hyderabad, Hyderabad, Andhra Pradesh, India.

Vivek Singh is an Assistant Professor at the Indian Institute of Public Health (IIPH) – Hyderabad. His areas of work are Global Health; International Health Security – Public Health Surveillance & Field Epidemiology; Health Systems Research; Information Technology for Strengthening of Health System; Public Health Program Management and Governance. He has recently completed working on a Wellcome Trust-sponsored PHFI-UKC research fellowship on disease surveillance core capacity assessment in Andhra Pradesh in India.

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Published

2014-03-09

How to Cite

Singh, V., Mohan, J., Rao, U. P., Heymann, D., & Dandona, L. (2014). Validity of the Surveillance Quality Indicators - Timeliness and Completeness - in Surveillance Systems with Variable Data Quality. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5203

Issue

Section

Oral Presentations