Quantitative and qualitative methods in the study of telehealth adoption in health centers using data from the uniform data system / Ching-Ching Claire Lin, Anne Dievler.

Format:

Book

Author/Creator:

Claire Lin, Ching-Ching, author.

Dievler, Anne, author.

Series:

SAGE Research Methods Cases : Medicine and Health.

SAGE Research Methods Cases: Medicine and Health

Language:

English

Subjects (All):

Medical telematics--Case studies.

Medical telematics.

Electronic data processing--Case studies.

Electronic data processing.

Qualitative research--Case studies.

Qualitative research.

Physical Description:

1 online resource.

Place of Publication:

London : SAGE Publications Ltd, 2020.

Summary:

This case study describes how we used a government administrative data set to study telehealth adoption among federally funded health centers. As government administrative data often contain both quantitative and qualitative information, we demonstrate how to apply statistical and qualitative methods to analyze such a data set. We used probit regression to analyze the adoption rate and associated quantitative factors, and qualitative coding to examine reported barriers to implementation. Our case study provides students with a practical example of how a research design can be tailored to an analysis of an existing administrative data set that was not originally collected for our research purpose. We also discuss how to interpret results from such analyses, identify potential challenges imposed by this type of research design, and highlight the advantages of analyzing public administrative data to inform policy making.

Notes:

Includes bibliographical references and index.

Description based on XML content.

ISBN:

1-5297-4050-9

9781529740509

OCLC:

1151012062