Level of agreement on health information technology adoption and use in survey data: A mixed-methods analysis of ambulatory clinics in 1 US state

Robert S. Rudin, Yunfeng Shi, Shira H. Fischer, Paul Shekelle, Alejandro Amill-Rosario, Bethany Shaw, M. Susan Ridgely, Cheryl L. Damberg

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: Adoption of health information technology (HIT) is often assessed in surveys of organizations. The validity of data from such surveys for ambulatory clinics has not been evaluated. We compared level of agreement between 1 ambulatory statewide survey and 2 other data sources: a second survey and interviews with survey respondents. Materials and methods: We used 2016 data from 2 surveys of ambulatory providers in Minnesota the Healthcare Information and Management Systems Society (HIMSS) survey and the Minnesota HIT Ambulatory Clinic Survey and primary data collected through qualitative interviews with survey respondents. We conducted a concurrent triangulation mixed-methods assessment of the Minnesota HIT survey by assessing level of agreement between it and HIMSS, and a thematic analysis of interview data to assess the respondent's understanding of what was being asked and their approach to responding. Results: We find high agreement between the 2 surveys on questions related to common HIT functionalities such as computerized provider order entry, medication-based decision support, and e-prescribing which were widely adopted by respondents' organizations. Qualitative data suggest respondents found wording of items about these functionalities clear but encountered multiple challenges including interpreting items for less commonly adopted functionalities, estimating degree of HIT usage, and indicating relevant barriers. Respondents identified multiple errors in responses and likely reported greater within-group homogeneity than actually existed. Conclusions: Survey items related to the presence or absence of widely adopted HIT functionalities may be more valid than items about less common functionalities, degree of usage, and barriers.

Original languageEnglish (US)
Pages (from-to)231-237
Number of pages7
JournalJAMIA Open
Volume2
Issue number2
DOIs
StatePublished - 2019

All Science Journal Classification (ASJC) codes

  • Health Informatics

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