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Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state
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 surv...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951962/ https://www.ncbi.nlm.nih.gov/pubmed/31984358 http://dx.doi.org/10.1093/jamiaopen/ooz004 |
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author | Rudin, Robert S Shi, Yunfeng Fischer, Shira H Shekelle, Paul Amill-Rosario, Alejandro Shaw, Bethany Ridgely, M Susan Damberg, Cheryl L |
author_facet | Rudin, Robert S Shi, Yunfeng Fischer, Shira H Shekelle, Paul Amill-Rosario, Alejandro Shaw, Bethany Ridgely, M Susan Damberg, Cheryl L |
author_sort | Rudin, Robert S |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6951962 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-69519622020-01-24 Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state Rudin, Robert S Shi, Yunfeng Fischer, Shira H Shekelle, Paul Amill-Rosario, Alejandro Shaw, Bethany Ridgely, M Susan Damberg, Cheryl L JAMIA Open Research and Applications 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. Oxford University Press 2019-03-07 /pmc/articles/PMC6951962/ /pubmed/31984358 http://dx.doi.org/10.1093/jamiaopen/ooz004 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research and Applications Rudin, Robert S Shi, Yunfeng Fischer, Shira H Shekelle, Paul Amill-Rosario, Alejandro Shaw, Bethany Ridgely, M Susan Damberg, Cheryl L Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state |
title | Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state |
title_full | Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state |
title_fullStr | Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state |
title_full_unstemmed | Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state |
title_short | Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state |
title_sort | level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 us state |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6951962/ https://www.ncbi.nlm.nih.gov/pubmed/31984358 http://dx.doi.org/10.1093/jamiaopen/ooz004 |
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