ArticlePloS one2020
Impact of health information technology optimization on clinical quality performance in health centers: A national cross-sectional study.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 21 citations in OpenAlex.
- Inter-physician heterogeneity in colorectal cancer screening participation in France: a study based on the French National Health Data System.Archives of public health = Archives belges de sante publique · 2026Article
- Organizational characteristics associated with sustained participation in internal quality improvement: Findings from two waves of a national sample of physician practices in the United States.Social science & medicine (1982) · 2025Article
- Clinician Staffing and Quality of Care in US Health Centers.JAMA network open · 2024Article
- Is a bio-psychosocial approach model possible at the first level of health services in the Democratic Republic of Congo? An organizational analysis of six health centers in South Kivu.BMC health services research · 2023Article
- Article
- Perceived technology use, attitudes, and barriers among primary care nurses.Health SA = SA Gesondheid · 2022Article
- Equitable Access and Distribution of COVID-19 Vaccines for US Vulnerable Populations: Federal Health Center Program Perspective.American journal of public health · 2021Article
- Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers.BMC medical informatics and decision making · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDelivery of preventive care and chronic disease management are key components of a high functioning primary care practice. Health Centers (HCs) funded by the Health Resources and Services Administration (HRSA) have been delivering affordable and accessible primary health care to patients in underserved communities for over fifty years. This study examines the association between health center organization's health information technology (IT) optimization and clinical quality performance. METHODS AND
findingsUsing 2016 Uniform Data System (UDS) data, we performed bivariate and multivariate analyses to study the association of Meaningful Use (MU) attestation as a proxy for health IT optimization, patient centered medical home (PCMH) recognition status, and practice size on performance of twelve electronically specified clinical quality measures (eCQMs). Bivariate analysis demonstrated performance of eleven out of the twelve preventive and chronic care eCQMs was higher among HCs attesting to MU Stage 2 or above. Multivariate analysis demonstrated that Stage 2 MU or above, PCMH status, and larger practice size were positively associated with performance on cancer screening, smoking cessation counseling and pediatric weight assessment and counseling eCQMs.
conclusionsOrganizational advancement in MU stages has led to improved quality of care that augments HCs patient care capacity for disease prevention, health promotion, and chronic care management. However, rapid technological advancement in health care acts as a potential source of disparity, as considerable resources needed to optimize the electronic health record (EHR) and to undertake PCMH transformation are found more commonly among larger HCs practices. Smaller practices may lack the financial, human and educational assets to implement and to maintain EHR technology. Accordingly, targeted approaches to support small HCs practices in leveraging economies of scale for health IT optimization, clinical decision support, and clinical workflow enhancements are critical for practices to thrive in the dynamic value-based payment environment.
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