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A Research Protocol: Mixed-Mode Designs to Optimize Engagement in Clinical Informatics Research.

Keely Wise¹, M Brooke Schrimpf¹, Mollie Hobensack²

¹Columbia University, New York USA.

Studies in Health Technology and Informatics

|July 25, 2024

Summary

This summary is machine-generated.

This study introduces a mixed-mode survey protocol to improve response rates from U.S. nursing homes. The research assesses health information technology (HIT) maturity and nurse practitioner (NP) care environments.

Keywords:

Health Information Technology Nursing Homes Surveys

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Area of Science:

Health Services Research
Survey Methodology
Nursing Informatics

Background:

Optimizing survey response rates is crucial for data accuracy in healthcare research.
Nursing homes (NHs) present unique challenges for survey participation.
Assessing health information technology (HIT) maturity and nurse practitioner (NP) care environments requires robust data collection.

Purpose of the Study:

To introduce a novel mixed-mode survey protocol designed to enhance response rates.
To detail the application of this protocol in a cross-sectional survey of U.S. nursing homes.
To evaluate health information technology (HIT) maturity and nurse practitioner (NP) care environments within these facilities.

Main Methods:

Utilizing a mixed-mode methodology, including delayed concurrent and sequential approaches.
Administering two distinct surveys to U.S. nursing homes (NHs).
Recruiting participants from approximately 3,000 NHs over a two-year period (June 2023 - July 2025).

Main Results:

The protocol aims to optimize response rates for surveys on HIT and NP care.
Data collection targets both facility-level HIT administrators and individual NPs.
The study provides a framework for future research in nursing home settings.

Conclusions:

The proposed mixed-mode methodology offers a strategy to improve survey participation in NH research.
This protocol facilitates comprehensive assessment of HIT and NP care environments.
Effective survey strategies are essential for advancing quality of care in nursing homes.