ArticleJournal of the American Medical Informatics Association : JAMIA2014
Reliability and validity of the American Hospital Association's national longitudinal survey of health information technology adoption.
Article in Journal of the American Medical Informatics Association : JAMIA, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Implementation outcome instruments for use in physical healthcare settings: a systematic review.Implementation science : IS · 2020Pooled it
- Hospital Health Information Exchange Network Density and Predictors Across U.S. Hospital Referral Regions.Applied clinical informatics · 2025Article
- Trending in the right direction: critical access hospitals increased adoption of advanced electronic health record functions from 2018 to 2023.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Value of Electronic Health Records Measured Using Financial and Clinical Outcomes: Quantitative Study.JMIR medical informatics · 2024Article
- Challenges and dynamics of public health reporting and data exchange during COVID-19: insights from US hospitals.Health affairs scholar · 2024Article
- Article
- Hospital organizational strategies associated with advanced EHR adoption.Health services research · 2022Article
- Association of Hospital Interoperable Data Sharing With Alternative Payment Model Participation.JAMA health forum · 2022Article
- Patterns of health information exchange strategies underlying health information technologies capabilities building.Health systems (Basingstoke, England) · 2022Article
- Identifying Opportunities to Strengthen the Public Health Informatics Infrastructure: Exploring Hospitals' Challenges with Data Exchange.The Milbank quarterly · 2021Article
- The Effect of Innovation Capabilities of Health Care Organizations on the Quality of Health Information Technology: Model Development With Cross-sectional Data.JMIR medical informatics · 2021Article
- Hospital adoption of multiple health information exchange approaches and information accessibility.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Hospital adoption of API-enabled patient data access.Healthcare (Amsterdam, Netherlands) · 2019Article
- Level of agreement on health information technology adoption and use in survey data: a mixed-methods analysis of ambulatory clinics in 1 US state.JAMIA open · 2019Article
- Hospitals' adoption of intra-system information exchange is negatively associated with inter-system information exchange.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Assessing the impact of health system organizational structure on hospital electronic data sharing.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Vendor of choice and the effectiveness of policies to promote health information exchange.BMC health services research · 2018Article
- Are all certified EHRs created equal? Assessing the relationship between EHR vendor and hospital meaningful use performance.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Electronic health record adoption in US hospitals: the emergence of a digital "advanced use" divide.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- A Novel Survey to Examine the Relationship between Health IT Adoption and Nurse-Physician Communication.Applied clinical informatics · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the internal consistency, construct validity, and criterion validity of a battery of items measuring information technology (IT) adoption, included in the American Hospital Association (AHA) IT Supplement Survey.
methodsWe analyzed the 2012 release of the AHA IT Supplement Survey. We performed reliability analysis using Cronbach's α and part-whole correlations, construct validity analysis using principal component analysis (PCA), and criterion validity analysis by assessing the items' sensitivity and specificity of predicting attestation to Medicare Meaningful Use (MU).
resultsTwenty-eight items of the 31-item instrument and five of six functionality subcategories defined by the AHA all produced reliable scales (α's between 0.833 and 0.958). PCA mostly confirmed the AHA's categorization of functionalities; however, some items loaded only weakly onto the factor most associated with their survey category, and one category loaded onto two separate factors. The battery of items was a valid predictor of attestation to MU, producing a sensitivity of 0.82 and a specificity of 0.72. DISCUSSION: The battery of items performed well on most indices of reliability and validity. However, they lack some components of ideal survey design, leaving open the possibility that respondents are not responding independently to each item in the survey. Despite measuring only a portion of the objectives required for attestation to MU, the items are a moderately sensitive and specific predictor of attestation.
conclusionsThe analyzed instrument exhibits satisfactory reliability and validity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.