Using a validated survey called the Digital IT Maturity Survey, the team is conducting a three-wave, longitudinal, repeated measures survey in a national sample of NHs. Currently, in year 2 of recruitment and analyzing year 1 data. Methods include an examination of the relationships between NH IT Maturity and stages of maturity, and nationally-reported, publicly-available NH Quality Measures available through Nursing Home Compare over three consecutive years. Specific aims are: 1) Explore NH IT maturity using the survey and staging model during a 3-year national assessment 2) Examine if NH IT maturity is associated with CMS quality measures in a national sample of NHs over 3 years. This study includes a survey of NH IT Maturity in a nationally representative sample including 10% of NHs recruited from each state in the United States (N=1,570). Statistical analysis will be done using the software SAS v9 (SAS Institute Inc., Cary, NC, USA). Since the sampling method involves stratification by state and since the sampling weights assigned to homes will depend on the number of respondents within each state, the analysis must take the complex sampling design into account. SAS procedures including SURVEYMEANS, SURVEYFREQ, SURVEYLOGISTIC, and SURVEYREG will be used for such analyses.

This is an UNPAID research project.

Faculty Advisor

  • Professor: Greg Alexander
  • Department/School: School of Nursing
  • Location: Currently Virtual. Office 628 School of Nursing
  • Conduct survey research and also use large national data sets in long term care nursing homes. Aims are to trend digital maturity and find associations between digital maturity and quality measures in nursing homes using mixed methods.

Project Timeline

  • Earliest starting date: 3/1/2021
  • End date: 2/28/2022
  • Number of hours per week of research expected during Spring 2021: ~5
  • Number of hours per week of research expected during Summer 2021: ~5

Candidate requirements

  • Skill sets: Skills in linking large data sets for data management and analysis.
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: NOT eligible
  • Academic Credit Possible: Yes
  • Additional comments: must be able to work remotely