Data management and quality assurance for an international project: The Indo-US Cross-National Dementia Epidemiology Study

Rajesh Pandav, Arun Mehta, Steven H. Belle, Deborah E. Martin, Vijay Chandra, Hiroko Dodge, Mary Ganguli

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Background: Data management and quality assurance play a vital but often neglected role in ensuring high quality research, particularly in collaborative and international studies. Objective: A data management and quality assurance program was set up for a cross-national epidemiological study of Alzheimer's disease, with centers in India and the United States. Methods: The study involved (a) the development of instruments for the assessment of elderly illiterate Hindi-speaking individuals; and (b) the use of those instruments to carry out an epidemiological study in a population-based cohort of over 5000 persons. Responsibility for data management and quality assurance was shared between the two sites. A cooperative system was instituted for forms and edit development, data entry, checking, transmission, and further checking to ensure that quality data were available for timely analysis. A quality control software program (CHECKS) was written expressly for this project to ensure the highest possible level of data integrity. Conclusions: This report addresses issues particularly relevant to data management and quality assurance at developing country sites, and to collaborations between sites in developed and developing countries.

Original languageEnglish (US)
Pages (from-to)510-518
Number of pages9
JournalInternational Journal of Geriatric Psychiatry
Volume17
Issue number6
DOIs
StatePublished - 2002
Externally publishedYes

Fingerprint

Dementia
Epidemiology
Developing Countries
Epidemiologic Studies
Developed Countries
Quality Control
India
Alzheimer Disease
Software
Data Accuracy
Research
Population

Keywords

  • Developing countries
  • Epidemiology
  • India
  • Quality control

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Psychiatry and Mental health

Cite this

Data management and quality assurance for an international project : The Indo-US Cross-National Dementia Epidemiology Study. / Pandav, Rajesh; Mehta, Arun; Belle, Steven H.; Martin, Deborah E.; Chandra, Vijay; Dodge, Hiroko; Ganguli, Mary.

In: International Journal of Geriatric Psychiatry, Vol. 17, No. 6, 2002, p. 510-518.

Research output: Contribution to journalArticle

Pandav, Rajesh ; Mehta, Arun ; Belle, Steven H. ; Martin, Deborah E. ; Chandra, Vijay ; Dodge, Hiroko ; Ganguli, Mary. / Data management and quality assurance for an international project : The Indo-US Cross-National Dementia Epidemiology Study. In: International Journal of Geriatric Psychiatry. 2002 ; Vol. 17, No. 6. pp. 510-518.
@article{0d8479e0b1e94f85a63d07b41841f8ad,
title = "Data management and quality assurance for an international project: The Indo-US Cross-National Dementia Epidemiology Study",
abstract = "Background: Data management and quality assurance play a vital but often neglected role in ensuring high quality research, particularly in collaborative and international studies. Objective: A data management and quality assurance program was set up for a cross-national epidemiological study of Alzheimer's disease, with centers in India and the United States. Methods: The study involved (a) the development of instruments for the assessment of elderly illiterate Hindi-speaking individuals; and (b) the use of those instruments to carry out an epidemiological study in a population-based cohort of over 5000 persons. Responsibility for data management and quality assurance was shared between the two sites. A cooperative system was instituted for forms and edit development, data entry, checking, transmission, and further checking to ensure that quality data were available for timely analysis. A quality control software program (CHECKS) was written expressly for this project to ensure the highest possible level of data integrity. Conclusions: This report addresses issues particularly relevant to data management and quality assurance at developing country sites, and to collaborations between sites in developed and developing countries.",
keywords = "Developing countries, Epidemiology, India, Quality control",
author = "Rajesh Pandav and Arun Mehta and Belle, {Steven H.} and Martin, {Deborah E.} and Vijay Chandra and Hiroko Dodge and Mary Ganguli",
year = "2002",
doi = "10.1002/gps.650",
language = "English (US)",
volume = "17",
pages = "510--518",
journal = "International Journal of Geriatric Psychiatry",
issn = "0885-6230",
publisher = "John Wiley and Sons Ltd",
number = "6",

}

TY - JOUR

T1 - Data management and quality assurance for an international project

T2 - The Indo-US Cross-National Dementia Epidemiology Study

AU - Pandav, Rajesh

AU - Mehta, Arun

AU - Belle, Steven H.

AU - Martin, Deborah E.

AU - Chandra, Vijay

AU - Dodge, Hiroko

AU - Ganguli, Mary

PY - 2002

Y1 - 2002

N2 - Background: Data management and quality assurance play a vital but often neglected role in ensuring high quality research, particularly in collaborative and international studies. Objective: A data management and quality assurance program was set up for a cross-national epidemiological study of Alzheimer's disease, with centers in India and the United States. Methods: The study involved (a) the development of instruments for the assessment of elderly illiterate Hindi-speaking individuals; and (b) the use of those instruments to carry out an epidemiological study in a population-based cohort of over 5000 persons. Responsibility for data management and quality assurance was shared between the two sites. A cooperative system was instituted for forms and edit development, data entry, checking, transmission, and further checking to ensure that quality data were available for timely analysis. A quality control software program (CHECKS) was written expressly for this project to ensure the highest possible level of data integrity. Conclusions: This report addresses issues particularly relevant to data management and quality assurance at developing country sites, and to collaborations between sites in developed and developing countries.

AB - Background: Data management and quality assurance play a vital but often neglected role in ensuring high quality research, particularly in collaborative and international studies. Objective: A data management and quality assurance program was set up for a cross-national epidemiological study of Alzheimer's disease, with centers in India and the United States. Methods: The study involved (a) the development of instruments for the assessment of elderly illiterate Hindi-speaking individuals; and (b) the use of those instruments to carry out an epidemiological study in a population-based cohort of over 5000 persons. Responsibility for data management and quality assurance was shared between the two sites. A cooperative system was instituted for forms and edit development, data entry, checking, transmission, and further checking to ensure that quality data were available for timely analysis. A quality control software program (CHECKS) was written expressly for this project to ensure the highest possible level of data integrity. Conclusions: This report addresses issues particularly relevant to data management and quality assurance at developing country sites, and to collaborations between sites in developed and developing countries.

KW - Developing countries

KW - Epidemiology

KW - India

KW - Quality control

UR - http://www.scopus.com/inward/record.url?scp=0036089396&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036089396&partnerID=8YFLogxK

U2 - 10.1002/gps.650

DO - 10.1002/gps.650

M3 - Article

C2 - 12112174

AN - SCOPUS:0036089396

VL - 17

SP - 510

EP - 518

JO - International Journal of Geriatric Psychiatry

JF - International Journal of Geriatric Psychiatry

SN - 0885-6230

IS - 6

ER -