ReviewBMC health services research2016
Texas hospitals with higher health information technology expenditures have higher revenue: A longitudinal data analysis using a generalized estimating equation model.
Review in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed.
- Generalized estimating equations for modeling cluster randomized trial data on smoking cessation among tuberculosis patients.PloS one · 2025Trial
- Trial
- Does ICT investment necessarily improve operational performance? An empirical analysis of health services firms in India.BMC health services research · 2025Article
- Accountable care organizations and Medicare payments for residents with ADRD in disadvantaged neighborhoods.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- [Influence of telemedicine on the operation of public hospitals in China].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024Article
- Developmental trends in early childhood and their predictors from an Indian birth cohort.BMC public health · 2021Article
- Health information technology and hospital performance the role of health information quality in teaching hospitals.Heliyon · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
backgroundThe benefits of health information technology (IT) adoption have been reported in the literature, but whether health IT investment increases revenue generation remains an important research question.
methodsTexas hospital data obtained from the American Hospital Association (AHA) for 2007-2010 were used to investigate the association of health IT expenses and hospital revenue. The generalized estimation equation (GEE) with an independent error component was used to model the data controlling for cluster error within hospitals.
resultsWe found that health IT expenses were significantly and positively associated with hospital revenue. Our model predicted that a 100% increase in health IT expenditure would result in an 8% increase in total revenue. The effect of health IT was more associated with gross outpatient revenue than gross inpatient revenue.
conclusionIncreased health IT expenses were associated with greater hospital revenue. Future research needs to confirm our findings with a national sample of hospitals.
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